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The Favorites - Special Mailbag Edition · The Favorites Sports Betting Podcast

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1:17
Speaker 1: Welcome to The Favorites the podcast from the Volume Podcast Network.
1:22
Speaker 1: I am Chad Moment, Chief Content Officer of the Action Network.
1:28
Speaker 1: Big Big Things today, folks. Uh. Later on in the show,
1:33
Speaker 1: I'm going to be joined by my bff, my companion,
1:36
Speaker 1: Mike Padre professional Better Simon Hunter. You guys have been
1:40
Speaker 1: sending us a boatload of questions. We're doing a mail
1:45
Speaker 1: bag today. You've been sending us questions about everything from
1:48
Speaker 1: bank roll management to what are our days like Simon
1:54
Speaker 1: and I during NFL off seasons two? Do we like
1:58
Speaker 1: our jobs? What else we do? All those kinds of things. Um,
2:04
Speaker 1: So we're excited to answer those. They're really thoughtful questions.
2:07
Speaker 1: We love when you guys send those in, and we
2:09
Speaker 1: love being able to give honest, forth right answers. But first, Simon,
2:18
Speaker 1: we got another one are the Odds segment. For those
2:21
Speaker 1: of you who don't remember, we have started a new
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Speaker 1: segment called what are the Odds, where listeners send in
2:27
Speaker 1: their most inane coincidences, ironies, whatever you want to call them,
2:33
Speaker 1: and we have our experts Sean Kerner and Nick Giffen
2:38
Speaker 1: of our Predictive Analytics group figure out what the odds
2:42
Speaker 1: are of something inane and crazy happening, and then they
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Speaker 1: come on they tell us what the odds are and
2:50
Speaker 1: they explain their math. You can send all these in
2:53
Speaker 1: podcasts at Action network dot com or just send them
2:57
Speaker 1: directly to producer Matt Mitchell boy uncle Mitch uh on Twitter.
3:04
Speaker 1: They're great. These are phenomenal. I love doing these, Simon,
3:08
Speaker 1: how much do you love these? It's hilarious. It's just
3:11
Speaker 1: hilarious here in the stories and hearing what the actual
3:13
Speaker 1: odds are for that said story, it's just amazing because
3:17
Speaker 1: we'll read this story and this one is freaking insane,
3:20
Speaker 1: and then Nick Giffen is going to join us over
3:23
Speaker 1: the phone from the wilds of Virginia. And Nick, by
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Speaker 1: the way, has more math degrees than you and I
3:30
Speaker 1: have fingers and toes combined. Uh. And yet somehow he's
3:33
Speaker 1: decided that what he wants to spend as I'm doing
3:36
Speaker 1: is instead of solving the world's problems with math, he
3:39
Speaker 1: wants to spend it on this and we're happy to happen.
3:42
Speaker 1: Here is the question. This is from Christopher Frost listener,
3:47
Speaker 1: Christopher Frost, I read this and I was astonished. I'm
3:51
Speaker 1: meeting launched with two colleagues at work making conversation. None
3:55
Speaker 1: of us are particularly close and we don't know each
3:58
Speaker 1: other particularly well. So as we make conversation about sports,
4:02
Speaker 1: one colleague, Mitch, mentions that he has a massive collection
4:07
Speaker 1: of sports illustrated magazines dating back forty years. Mitch remarks
4:12
Speaker 1: that one of his first and favorite Sports Illustrated has
4:16
Speaker 1: Michael Jordan's on the cover, back when he was at
4:18
Speaker 1: U n C. When he mentions this, the other colleague
4:21
Speaker 1: sitted with us, Roger Google's the cover and then tells
4:26
Speaker 1: Mitch to look at the letter to the Editors section
4:29
Speaker 1: of the magazine when he gets home, because when Roger
4:31
Speaker 1: was twelve years old, he sent a letter to s
4:34
Speaker 1: I about a hockey player who was suspended for accidentally
4:37
Speaker 1: tripping a referee, which was published in that edition. Mitch
4:41
Speaker 1: was amazed, and when he returned home he found the magazine,
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Speaker 1: opened it and saw Roger's letter right there in print
4:46
Speaker 1: from November. The following day, I run into Mitch. This
4:52
Speaker 1: is Christopher, who is the I? He tells me he
4:55
Speaker 1: had just spoken to Roger and discovered something even crazier.
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Speaker 1: Mitch had a daughter who was a junior at Ohio State. Remember,
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Speaker 1: Mitch is the guy who collects the s I s
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Speaker 1: not particularly good friends with any people he was talking to.
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Speaker 1: Roger is the guy who wrote the letter of the
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Speaker 1: editor that was in the s SI. Now Mitch has
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Speaker 1: a daughter who was a junior at Ohio State. Roger
5:16
Speaker 1: had a son, also a freshman at Ohio State. And
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Speaker 1: when Roger called his son and mentioned the Crazy Sports
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Speaker 1: Illustrated coincident work, his son said that he might actually
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Speaker 1: know Mitch's daughter. So now two guys who worked together
5:30
Speaker 1: barely know each other find out that one is collecting
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Speaker 1: Sports Illustrated that the other one had written a letter
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Speaker 1: to the editor when he was twelve. And now it
5:37
Speaker 1: turns out their kids both go to Ohio State and
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Speaker 1: know each other. What are the odds on that? Right?
5:43
Speaker 1: Here we go, as it turns out Roger's son was
5:47
Speaker 1: pledging a fraternity Ohio State, and as part of the process,
5:50
Speaker 1: he was required to create a daily puppy pledge pick,
5:54
Speaker 1: which was a picture of a puppy with a positive
5:57
Speaker 1: motivational message, and he must send this puppy picture to
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Speaker 1: a designated upper classman sorority student in a partnering process
6:07
Speaker 1: that is entirely random. You guessed it. Roger's son was
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Speaker 1: partnered with Mitch's daughter, a fact they never ever would
6:17
Speaker 1: have learned if the topic of old sports illustrated covers
6:22
Speaker 1: hadn't come up. Wow, Nick Giffen, come on, brother, give
6:30
Speaker 1: us your take. Hi everybody, Hi afternoon. This this one's
6:36
Speaker 1: a doozy. We we essentially have a three partner here.
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Speaker 1: We have the magazine coincidence, we have the going to
6:44
Speaker 1: Ohio State coincidence, and then we have the fact that
6:47
Speaker 1: they knew each other through this random process. So we'll
6:52
Speaker 1: break down all three of those. First, Let's start with
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Speaker 1: the magazines. And given that this was a collection from
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Speaker 1: over forty years ago and these guys are working together,
7:02
Speaker 1: we can assumedly put this in an age range where
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Speaker 1: where these men are in let's say the forty five
7:08
Speaker 1: to sixty age range. If I'm wrong, I apologize at
7:11
Speaker 1: five overestimated ages. But given that's what was said in
7:15
Speaker 1: the story, we're gonna go with about forty five to
7:17
Speaker 1: sixty year olds. So what how many forty five to
7:21
Speaker 1: six year olds that are alive now, we're there in
7:26
Speaker 1: uh you know, the nineteen eighties when this Michael Jordan's
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Speaker 1: cover was out there. And we also have to count
7:31
Speaker 1: for the people that are no longer alive today because
7:33
Speaker 1: if they had written a letter to the editor, uh,
7:36
Speaker 1: this coincidence may not have come up. So we came
7:39
Speaker 1: up with a population of forty five six year olds
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Speaker 1: alive today between thirty and thirty five millions, and then
7:45
Speaker 1: if you count those that aren't alive, we stretch it
7:48
Speaker 1: up just to be conservative to fifty million, and also
7:51
Speaker 1: to have nice round numbers. So let's say we're working
7:54
Speaker 1: with a population of fifty million, which would put a
7:56
Speaker 1: hard cap on the magazine number. That still doesn't answer
7:59
Speaker 1: our question. Uh let's say, you know, we've got several
8:03
Speaker 1: years of sports illustrated magazines and they came out what weekly,
8:06
Speaker 1: and there's maybe two to five leditors to the editor
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Speaker 1: per magazine, and a lot of these people, uh, you know,
8:15
Speaker 1: could have written multiple letters to the editor. So we
8:18
Speaker 1: put it about potentially two hundred fifty unique writers out
8:22
Speaker 1: of a fifty million population, So we would take two
8:27
Speaker 1: fifty million. But then how many times has he told
8:30
Speaker 1: this magazine you know collection Sports Illustrated magazine collection icebreaker story.
8:34
Speaker 1: So we put it over a five year frame of
8:36
Speaker 1: maybe around a hundred people have heard this story. So
8:39
Speaker 1: when you take two hundred fifty fifty million multiplied by
8:42
Speaker 1: one for the magazine part, we get about one in
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Speaker 1: two thousand chants of you know, this guy having a
8:50
Speaker 1: collection and the other guy writing into one of these
8:54
Speaker 1: not magazines. Now, we could boil it down further and say, well,
8:56
Speaker 1: are the oddsios is exact favorite, But I feel like
8:59
Speaker 1: it probably would have come up in general if we
9:00
Speaker 1: have a Sports to the Series collection from the eighties
9:03
Speaker 1: and this guy wrote into you know, s I and eighties,
9:07
Speaker 1: they probably would have figured out as well. So that's
9:10
Speaker 1: why we're sticking with one in two thousand on that part.
9:14
Speaker 1: So now we need to go to the fact that
9:17
Speaker 1: their kids both go to Ohio State. And this is
9:20
Speaker 1: where Sean and I we tried to throw a lot
9:23
Speaker 1: of cold water on this um. But the fact that
9:26
Speaker 1: they both go to Ohio State and they work at
9:28
Speaker 1: the same place probably means they're located in the same place.
9:31
Speaker 1: I would guess in Ohio. That seems to be most likely.
9:34
Speaker 1: So Sean and I rolled with that assumption. Doing that,
9:37
Speaker 1: we were able to calculate the population of of uh,
9:41
Speaker 1: you know, in state kids and who goes to Ohio State, etcetera, etcetera, etcetera.
9:45
Speaker 1: What we found out is that there's about one and
9:47
Speaker 1: twenty chance an adult male in the forty five to
9:50
Speaker 1: sixty eight range has a kid if they live in Ohio.
9:54
Speaker 1: How's the kid going to Ohio State? However, that's a
9:57
Speaker 1: random sample that would include if you ask the farmer
10:00
Speaker 1: in the middle of the country, or you know, asked
10:03
Speaker 1: people of various income levels, etcetera. So the fact that
10:07
Speaker 1: they're at this specific job, the kids pledge sororities and
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Speaker 1: fraternity you know, there's there's a little bit of a
10:13
Speaker 1: selection bias here. And we're referring referring to last week's
10:16
Speaker 1: story where we're gonna call this the chop house factor
10:19
Speaker 1: or the chop factor. There's a lot of underlying chop here. So, uh,
10:24
Speaker 1: you know, we just have to kind of gues estimate
10:27
Speaker 1: as best we can. Instead of one in twenty, we
10:29
Speaker 1: think the fact that they're working in the same place, uh,
10:32
Speaker 1: you know, they're all sports fans. The kids went to
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Speaker 1: stories and fraternities there's probably a lot higher chance than
10:37
Speaker 1: one in twenty that two random adult men would both
10:41
Speaker 1: have kids going to Ohio States. So we put it
10:43
Speaker 1: one in five for each. So one in five times
10:45
Speaker 1: one in five is one twenty five. So that's the
10:48
Speaker 1: probability of both of these men who have now connected
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Speaker 1: through this magazine also having kids that went to Ohio State.
10:57
Speaker 1: Now we need to figure out what's the probability those
10:59
Speaker 1: kids knew each other. And yes, this was a randomized
11:02
Speaker 1: sorority process, but we also would have brought this story
11:05
Speaker 1: up if they had had a class together, or they
11:07
Speaker 1: had a mutual friend in the dorm together, etcetera, etcetera.
11:10
Speaker 1: So we just wanted to calculate the probability that two
11:13
Speaker 1: people to students at Ohio State would know each other.
11:16
Speaker 1: And we said, well, given that they're both in sorority fraternity's, uh,
11:21
Speaker 1: they probably run into a lot of people over their time.
11:24
Speaker 1: So we took essentially the population of Ohio State. UH said,
11:29
Speaker 1: they've running around three hundred four hundred people that you know,
11:33
Speaker 1: they could probably recall knowing, and came up with about
11:37
Speaker 1: one in a hundred and thirty three one hundred fifty
11:40
Speaker 1: chants that they would know each other. So you take
11:44
Speaker 1: one fifty times one times one and two thousands and
11:50
Speaker 1: we come up with a number in let's say the
11:52
Speaker 1: six to seven and a half million range. But we're
11:56
Speaker 1: not done there. We think there's still some underlying chop right,
11:59
Speaker 1: Like the fact that they're in sororities and fraternities probably
12:03
Speaker 1: means they're more likely to be sports fans. That they're
12:06
Speaker 1: more likely to be sports fans. Their parents are more
12:08
Speaker 1: likely to be sports fans. That means their parents are
12:10
Speaker 1: more likely to have Sports Illustrated magazine collections and more
12:14
Speaker 1: likely to write in the Sports Illustrated magazine. So all
12:17
Speaker 1: of this underlying chop is is something we can't really quantify. Right,
12:22
Speaker 1: There's this correlated factor, but it probably brings it down
12:26
Speaker 1: to around we would say three to five million range,
12:30
Speaker 1: so one in three to one in five million range,
12:32
Speaker 1: and I'd actually even air towards a little bit lower
12:34
Speaker 1: side than that, but we are probably talking close to
12:36
Speaker 1: a one in a million events. All Right, I'm really
12:40
Speaker 1: glad you said that, because Matt Mitchell, you know, I
12:45
Speaker 1: love this segment. I think it's great. The problem is
12:49
Speaker 1: outside of sort of my professional life, whether it's as
12:55
Speaker 1: a media executive, a content creator, someone who is in
13:00
Speaker 1: betting community. I want mystery and romanticism. I want impossibilities
13:09
Speaker 1: in my narratives. I want wow in my storytelling. We
13:16
Speaker 1: get a story like this from Christopher Frost, which is amazing,
13:20
Speaker 1: and then we got like the fucking geeks coming on
13:23
Speaker 1: and pouring cold water on everything. I'm glad that we
13:26
Speaker 1: stayed in like the north of one million chances, because
13:30
Speaker 1: if you had said to me at the end of
13:31
Speaker 1: the day, we really think it's like one in ten thousand,
13:35
Speaker 1: I would have had to reach through the phone and
13:41
Speaker 1: you know, been unpleasant. Nick. Yeah, well, thankfully we don't
13:46
Speaker 1: get the unpleasant trees here, because this is I mean,
13:49
Speaker 1: like I said at the start, this one is an
13:51
Speaker 1: absolute doozy and it really is a three parter. And
13:53
Speaker 1: when you add all these extra factors you start multiplying
13:57
Speaker 1: them together, that really starts to almost exponentiate the odds here. Simon,
14:04
Speaker 1: do you have thoughts on where we landed on this.
14:07
Speaker 1: I was honestly hoping for the ending of being like
14:09
Speaker 1: and now they're married. It's heartbreaking. Then my man couldn't
14:11
Speaker 1: close the deal like serendipity. He had all the signs
14:15
Speaker 1: pointed to it, and it didn't happen. I guess I'm
14:18
Speaker 1: a little heartbroken. I was waiting for a better ending chat.
14:20
Speaker 1: But it's still pretty interesting. Dude, the kids a team.
14:24
Speaker 1: He's eighteen, she's probably there's still time. And by the way,
14:29
Speaker 1: you know, I love love, huge fan of it. Nobody
14:32
Speaker 1: loves it more than me. Like it's a very good
14:35
Speaker 1: possibility that the dad that Christopher Frost here's this story
14:40
Speaker 1: from the podcast, tells his new best friends Roger and
14:44
Speaker 1: Mitch about the relationship to the Odds and the magazine
14:49
Speaker 1: and their kids. And then the kids start hanging out together.
14:52
Speaker 1: And who cares that she's a little bit older, that
14:54
Speaker 1: she might graduate while he's a sophomore. And then it
14:57
Speaker 1: could be two years of a long distance love affair.
15:00
Speaker 1: Maybe she's going to get a job in Cleveland, maybe
15:02
Speaker 1: she gets a job in Cincinnati. Maybe she gets your
15:04
Speaker 1: job in New York and he goes to visit her
15:06
Speaker 1: every once in a while. Who knows, who cares? That's
15:09
Speaker 1: the beauty this could this could be the beginning of
15:11
Speaker 1: the romance. You're the best. Chad's such a romantic. I
15:15
Speaker 1: am a romantic. By the way, you met you. You
15:18
Speaker 1: you said a keyword here Serendipity, which was an incredible
15:23
Speaker 1: movie with John Cusack, and I believe it was Kate Beckinsale,
15:28
Speaker 1: who is phenomenal. Is that what she writes her number
15:31
Speaker 1: in the book? Yes? That, And I feel like we
15:35
Speaker 1: have to have Nick and Sean. They gotta figure out
15:37
Speaker 1: the odds for that, because that is actually a fronone
15:40
Speaker 1: Matt Mitchell. Can we get Nick and Shawn to do that? Sure? Sure,
15:44
Speaker 1: our audience has been begging for it. We can be
15:47
Speaker 1: expanding this too. You're such a stickler for what the
15:50
Speaker 1: audience wants. We could be expanding this into like fictional realms.
15:54
Speaker 1: Couldn't agree more? Sounds great? Oh my god, Nick, Nick
15:59
Speaker 1: is totally Nick Giffen predictive analysts and math maven for
16:05
Speaker 1: the Action Network. Oh my god, I'm so glad we're
16:08
Speaker 1: doing this. Nick has one of the best media setups
16:10
Speaker 1: when he's in his home, and I'm super excited for
16:14
Speaker 1: him for him to relocate and get it all settled again,
16:17
Speaker 1: because he's the true pro. And I appreciate you coming on, buddy,
16:21
Speaker 1: Thanks for having us as always, eisi super fun to do,
16:24
Speaker 1: so keep them coming, Keep them coming. Keep them coming listeners,
16:27
Speaker 1: what are the odds? Send them along? Podcasts at Action
16:30
Speaker 1: Network dot com is the best way to do it.
16:33
Speaker 1: You can always DM me DM Matt Mitchell, but that's
16:37
Speaker 1: the best way to do it. Pretty good stuff. It
16:39
Speaker 1: makes me happy. Simon, you would that you would herd
16:42
Speaker 1: out on that I got. I kind of got lost
16:43
Speaker 1: midway through it because there's just so many numbers are
16:45
Speaker 1: probabilities starting around, but then I came back around. The
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Speaker 1: It's time for us to get to our reader questions.
18:39
Speaker 1: It was a great mix. It was a great mix
18:41
Speaker 1: of people who wanted to know real knitty gritty stuff
18:44
Speaker 1: and people who wanted to know some more personal stuff.
18:47
Speaker 1: I already know that, like Matt Mitchell likes this to
18:50
Speaker 1: be a very focused podcast, he does not like when
18:54
Speaker 1: we veer off topic. You can tell by the fact
18:57
Speaker 1: I wanted to do the odds of serendipity and he's like,
18:59
Speaker 1: I fucking hate you. So I'm forcing him to let
19:03
Speaker 1: us include some more personal questions because if it was
19:06
Speaker 1: up to him, it would only be very utility driven stuff. Okay,
19:11
Speaker 1: that's fair. Here we go. I think this is a
19:15
Speaker 1: good one for you. This is from MO two bank
19:18
Speaker 1: roll management question. I had a winning NFL record last season,
19:23
Speaker 1: going seventy six and sixty four. I still lost money.
19:27
Speaker 1: I bet too much on losing favorites and not enough
19:29
Speaker 1: on winning underdogs. Wondering if my distribution is off. If
19:35
Speaker 1: you had one hundred dollars, how would you distribute between
19:39
Speaker 1: a minus one forty teaser, a minus one parlay, a
19:44
Speaker 1: minus one ten straight bet on a favorite, and a
19:47
Speaker 1: plus one thirty dog or we know the answer to
19:54
Speaker 1: this question? Should I stop playing parlays and teasers where
19:56
Speaker 1: I typically lose the most. Let me answer the first question.
19:59
Speaker 1: Let me answered that last question first, and then Simon,
20:01
Speaker 1: I want you to get into the distribution. I'll give
20:03
Speaker 1: you second to do the math. Stopped playing the parleys
20:07
Speaker 1: and teasers last year when I played only the games
20:11
Speaker 1: that were straight bets, where I felt like I was
20:14
Speaker 1: going with my principles based on conversations Simon and I had,
20:17
Speaker 1: based on what I know about the market, overvaluation on
20:21
Speaker 1: one side or the other, etcetera. I was winning, and
20:25
Speaker 1: I was down for much of the year because I
20:28
Speaker 1: was spending way too much on parlays and teasers and
20:33
Speaker 1: way too much on like these money line around robins
20:35
Speaker 1: that Simon and I would do, and I was giving
20:38
Speaker 1: back all my winnings. And it wasn't until the playoffs
20:40
Speaker 1: where I went side player props and just individual bets
20:44
Speaker 1: that I made it out back and ended up having
20:45
Speaker 1: a winning year. I say, get out of the parley
20:48
Speaker 1: and teaser business. Yeah, I mean, it's all about what
20:52
Speaker 1: you're looking for now. It's a tough question, buddy. Um.
20:57
Speaker 1: I I advised people just a bet straight because personally
21:00
Speaker 1: that's what works for me. And I would say about
21:02
Speaker 1: nine other professionals. But I don't know. I doubt you're
21:06
Speaker 1: trying to beat like a pro. But if you are,
21:07
Speaker 1: that's that's how it is, man. It's not some sexy
21:11
Speaker 1: get rich scheme. It's a grind where, yeah, if you're
21:15
Speaker 1: starting out, I would just do one unit, So if
21:17
Speaker 1: one unit to use a hundred dollars, I would just
21:19
Speaker 1: do everything you're doing that one unit. Maybe bump it
21:21
Speaker 1: up when you think you have a good read. But
21:24
Speaker 1: to me, I broke it down here. I'm a dog
21:26
Speaker 1: better with the NFL. NFL is very unique in that sense,
21:29
Speaker 1: and I'm a big believer. If you're trying to keep
21:31
Speaker 1: it simple, throw three units on the number, so plus six,
21:35
Speaker 1: plus seven whenever you're gonna get, And then you throw
21:38
Speaker 1: half a unit or one unit on the money line
21:40
Speaker 1: and like that. If you just stick to that and
21:42
Speaker 1: you pick your spots, you build a bankroll. It's it's
21:45
Speaker 1: really not that hard. The hard part is you, like, say,
21:49
Speaker 1: we win really big for first three weeks, then you
21:52
Speaker 1: start upping up your stake. Then you start doing these
21:55
Speaker 1: parlays and you start doing more teasers again, and you
21:57
Speaker 1: start just messing with your money instead of sticking to
21:59
Speaker 1: what got you up for those first three weeks. UM.
22:02
Speaker 1: So when it comes to money management, there's a there's
22:04
Speaker 1: a million different ways to do it. But if you're
22:06
Speaker 1: just starting out and you're just trying to build a
22:08
Speaker 1: bank roll, I would take a nice and easy and
22:11
Speaker 1: just do one, one unit at a time because you're
22:14
Speaker 1: kind of just trying to figure out the rhythm of
22:15
Speaker 1: the sport you're betting. It's like most pros that do
22:18
Speaker 1: it for real five into five years into them be
22:22
Speaker 1: a professional better. They really start getting the money management down,
22:25
Speaker 1: so like they might have lost ten years before then
22:28
Speaker 1: came a pro and it took another five years to
22:30
Speaker 1: really fagre out to manager their money. So there really
22:32
Speaker 1: is no one answer, sadly mode, but I would say
22:36
Speaker 1: be patient and just understand you're not gonna get rich quick.
22:39
Speaker 1: It's it's just a very grinding, grinding thing to do
22:41
Speaker 1: sports betting. Uh. From might Oh and from our friends
22:48
Speaker 1: at full Slate. Two related questions, I think these are
22:51
Speaker 1: better for you, Simon, is there an industry standard on
22:54
Speaker 1: how runners are compensated? And if you ever had a
22:57
Speaker 1: major issue with a runner miscounting fat to incorrect wage
23:01
Speaker 1: replacement et cetera. Of course to the second one. Yeah,
23:04
Speaker 1: I mean there's always gonna be a little issues here
23:07
Speaker 1: and there, but I would say it's always with the new,
23:10
Speaker 1: the new people breaking into it. That's why it's really
23:12
Speaker 1: hard to get in as a new person, as a runner,
23:14
Speaker 1: because some of these people are being handed bags of
23:18
Speaker 1: cash and they've never had a bag of cash and
23:20
Speaker 1: their entire life, and you know, it's easy to pull
23:24
Speaker 1: a runner. So, I mean we've talked a little bit
23:26
Speaker 1: about it, like getting guys driver's license, getting their parents
23:29
Speaker 1: home address, getting their parents phone number, like people they
23:33
Speaker 1: care about. I mean, it's it gets a little murky,
23:35
Speaker 1: but they're talking about a lot of money, people handing
23:38
Speaker 1: a lot of money. So yeah, I mean I've had
23:41
Speaker 1: my own drama with runners, but nothing compared to other
23:44
Speaker 1: people in this industry. I've been very lucky where I've
23:47
Speaker 1: either had runners, I worked with other pros and I
23:49
Speaker 1: knew them already they're good people, or I've hired people
23:53
Speaker 1: personally they're just very loyal to me. So um yeah,
23:57
Speaker 1: nothing nothing to nothing too bad for me. Um how
24:01
Speaker 1: they're conversated individually, different for everyone. Uh, what are you
24:04
Speaker 1: looking to do? Do Do you want to run just NFL.
24:06
Speaker 1: Do you want to run all four major sports? You
24:08
Speaker 1: want to only run soccer and cricket, which means you're
24:11
Speaker 1: all up at weird hours of the night, um, all
24:14
Speaker 1: the time. It's it's kind of hard to say. Um.
24:18
Speaker 1: I'd say, if you're you're just trying to get into
24:20
Speaker 1: the industry. I ran for picks like I Honestly, I
24:23
Speaker 1: always offered money, but I would just rather run and
24:26
Speaker 1: get really good professional betters picks and use their picks
24:29
Speaker 1: to mild build my own bank a wollt now I
24:30
Speaker 1: talked about with Chad on the show. I went broke
24:33
Speaker 1: a bunch of times doing that, but I was again,
24:35
Speaker 1: I was just newing the industry again, getting my feet wet.
24:39
Speaker 1: I was trying to figure out my own style. So
24:42
Speaker 1: for me as a runner, I didn't get paid probably
24:44
Speaker 1: for like a year or two at least when I
24:46
Speaker 1: first started out. Most guys, if you're lucky, um, you know,
24:51
Speaker 1: you might get a salary, But I would say most
24:53
Speaker 1: work off tips. Like you're you're running a bag of money,
24:55
Speaker 1: They're gonna take care of you. But again, it's it's
24:58
Speaker 1: just hard getting your foot in the door. But most
25:00
Speaker 1: of these guys are if they're willing to spend money
25:02
Speaker 1: on a runner, they're gonna take care of you. So
25:05
Speaker 1: I would say, at worst, at minimum you might get
25:07
Speaker 1: twenty K for running one sport for a season. Uh,
25:14
Speaker 1: we got got, we got so many good questions, Matt Mitchell,
25:17
Speaker 1: We're gonna have to do a second uh mail bag pod.
25:21
Speaker 1: This one's from Conrad Simon. You and I are going
25:24
Speaker 1: to have completely different opinions on this our NFL all
25:29
Speaker 1: day n f T s complete junk or something fans
25:33
Speaker 1: will appreciate and trade for years to come. You have
25:38
Speaker 1: thoughts on n f T s. I have thoughts and
25:40
Speaker 1: n f T s you go first. I think n
25:43
Speaker 1: f T s are cool. Um, they maybe someday will
25:47
Speaker 1: have value again values all what people give this stuff,
25:51
Speaker 1: I mean everything, Nothing really has value unless we give
25:54
Speaker 1: it value or it takes incredible work to make said products.
25:58
Speaker 1: So I don't know what to think of that n
26:00
Speaker 1: f T stuff. I mean, me and Chad love the
26:01
Speaker 1: basketball stuff, but that fizzled out very quick. Um. I
26:05
Speaker 1: just still think we're just so far ahead of what
26:08
Speaker 1: they're projecting for this stuff. But yeah, me personally, if
26:12
Speaker 1: I'm investing money into hard cards like buying Pokemon cards
26:16
Speaker 1: or baseball cards or baseball cards. I'm still doing hard
26:20
Speaker 1: hard to copy over digital like I still bought every year.
26:24
Speaker 1: I do the same thing, which is no secret. I
26:25
Speaker 1: buy all the rookie cards I can. Of the quarterbacks drafted,
26:29
Speaker 1: So the five quarterbacks that drafted last year, I got
26:31
Speaker 1: all them year before, which is looking like gold. Joe
26:34
Speaker 1: Burrow justin Herbert to Jalen Hurts, I mean that's that
26:39
Speaker 1: to me is keeping it safe. But the n f
26:40
Speaker 1: T stuff not not for me right now with investing
26:44
Speaker 1: my money. Simon mentioned like we for a minute, we
26:49
Speaker 1: got really into NBA Top Shop, and I think when
26:54
Speaker 1: it comes to sports and f T s, you gotta
26:59
Speaker 1: think about them the same way you think about the
27:02
Speaker 1: hard cards, as Simon just said, by the ones that
27:05
Speaker 1: you think are interesting, by the ones that you think
27:07
Speaker 1: you would like to own. Don't think about, oh, this
27:11
Speaker 1: will be a great investment one day. Don't overspend in
27:15
Speaker 1: a hot market thinking you're going to turn that over
27:19
Speaker 1: because it's way too unpredictable. It's way too event driven,
27:25
Speaker 1: career driven, and honestly taste driven, and it's not something
27:31
Speaker 1: that has real underlying metrics or fundamentals that you can
27:35
Speaker 1: rely on as an investment. Um. So for me, it's
27:42
Speaker 1: not a question of are they complete junk. I think
27:44
Speaker 1: it's a question of if you love the NFL you
27:47
Speaker 1: wanna be a part of sort of the next phase
27:50
Speaker 1: of collectibles at a price you can forward, then you
27:54
Speaker 1: should do it. I loved opening the top shot packs,
27:58
Speaker 1: but I just got sick of seeing the price saying
28:00
Speaker 1: in the market being so frenzied, and then it created
28:04
Speaker 1: and it's just not that interesting to me anymore. So
28:07
Speaker 1: you can't do it because you think you're gonna get
28:08
Speaker 1: rich off it. It's like betting. That's my take. Uh.
28:13
Speaker 1: When it comes to the other n f t s,
28:15
Speaker 1: forget about it, board apes or whatever they are, Like,
28:19
Speaker 1: I know people love them. To me, it's am it
28:22
Speaker 1: feels so arbitrary. It feels so driven by a taste
28:26
Speaker 1: for something that I don't see. Uh. I get Crypto,
28:30
Speaker 1: I'm in crypto. I'm not uncomfortable with crypto. The other
28:35
Speaker 1: n f t s like, it's just not it's not
28:37
Speaker 1: my bag personally, and it just again it's um, yeah,
28:42
Speaker 1: we'll keep it moving, but it's just it's just different
28:44
Speaker 1: where we don't get n f t s because it's
28:46
Speaker 1: too early. It's the same thing with the Internet. It's
28:47
Speaker 1: like have you ever seen the old news Clippers and
28:49
Speaker 1: then talking about l L and the Internet and the
28:52
Speaker 1: ninth they're the late nineties, early two thousands, or like
28:54
Speaker 1: what is the Internet? It's the same thing right now,
28:56
Speaker 1: the n f T S. It's just we're very early
28:58
Speaker 1: in it. So I don't have an hour to talk
29:00
Speaker 1: about it. But it's UM, it's whatever you make it.
29:03
Speaker 1: It's art is whatever someone's willing to pay for it
29:06
Speaker 1: gives it the value. So all right, We're gonna do
29:08
Speaker 1: two more questions, UM, and then we will do another
29:12
Speaker 1: mail back because we have so many more from Sheila Simon.
29:17
Speaker 1: You start, what interested you most about a career in
29:22
Speaker 1: sports betting? Are you satisfied with how it has turned out? Um?
29:28
Speaker 1: What interested me in it? I always was into it.
29:30
Speaker 1: I can tell you that. I mean, my earliest memory
29:32
Speaker 1: I think I talked on the show was the Tennessee
29:35
Speaker 1: Rams Super Bowl and I had Tennessee on a bet
29:38
Speaker 1: against my brother. Again, it might have been for a dollar.
29:40
Speaker 1: I was a little kid, and the Tennessee gut got
29:43
Speaker 1: tackled at the one yard line, and I just remember
29:45
Speaker 1: it just being pure mayhem, where it was just like
29:48
Speaker 1: a rush. As a little kid, I remember feeling that
29:50
Speaker 1: rush of like I don't care about either of these teams,
29:53
Speaker 1: but I care about winning that dollar and I got
29:55
Speaker 1: stopped to the one yard line. So I definitely I
29:59
Speaker 1: think that was something that started really young for me
30:01
Speaker 1: with sports betting, but I was always into sports. I
30:03
Speaker 1: grow up playing sports, so it just it came together.
30:06
Speaker 1: Where as I got older, I loved math and when
30:09
Speaker 1: I met my you know, my handler and my boss Bob,
30:13
Speaker 1: it was kind of like not that he had a
30:15
Speaker 1: time machine, but he pretty much described it that way.
30:17
Speaker 1: It's like it's all in the numbers. It's like, don't
30:19
Speaker 1: don't even look at the schedule or the teams or
30:23
Speaker 1: their what what their record is. It's like, just take
30:26
Speaker 1: a week by week, look at the numbers, look at
30:28
Speaker 1: the look at the matchups, and that's how you find
30:29
Speaker 1: the value. So it's definitely gone way better than could
30:32
Speaker 1: ever imagined. And that's why when people asking you how
30:35
Speaker 1: to get into it, I say, don't do it because
30:37
Speaker 1: it's like I don't know if I came in with
30:39
Speaker 1: twenty five guys there might be three of us left
30:42
Speaker 1: that are doing this for real, and only two of
30:44
Speaker 1: us are doing like pro ship. The one guy is
30:47
Speaker 1: a grinder, like living in a one bedroom studio in Vegas,
30:51
Speaker 1: driving his shitty car he still has had from two
30:53
Speaker 1: thousand two. It's like, not everyone makes it the same way,
30:56
Speaker 1: So it's it's tough. If you had told we dream
31:00
Speaker 1: at your best scenario, I could never have dreamed the
31:03
Speaker 1: way my life and betting has turned out. I mean,
31:05
Speaker 1: it's just been again a lot of work and sacrifice.
31:09
Speaker 1: I mean, I don't come on here a bit about
31:10
Speaker 1: my life because I know people have real ship going on.
31:12
Speaker 1: But it's it's not easy. But yeah, it's like you can.
31:17
Speaker 1: I couldn't have dreamed a better, better way from my
31:19
Speaker 1: left to go on this whole betting spear. How about you, Chad?
31:22
Speaker 1: I would say, I've told the story before, so I'll
31:24
Speaker 1: keep it as succinct as possible. I was an editor
31:28
Speaker 1: at ESPN, the magazine in someone has signed me a
31:32
Speaker 1: story about who was setting the points bread for March
31:36
Speaker 1: Madness in Las Vegas. And this is right when offshore
31:40
Speaker 1: internet online betting was becoming popular. So the Stardust Hotel
31:45
Speaker 1: in Las Vegas, which was the the hotel that was
31:49
Speaker 1: featured in the book, in the movie Casino like, it
31:51
Speaker 1: was the premier destination for sports betting. You'd get lines
31:55
Speaker 1: out the door for people wanting to bet those lines,
31:57
Speaker 1: and that was what sort of set the agenda for
31:59
Speaker 1: the entire country. There was a domino effect. Whoever said
32:03
Speaker 1: those lines, that's what the rest of the market followed
32:05
Speaker 1: in Vegas and then how word, every illegal bookmaker all
32:08
Speaker 1: around the country. Right. So I wrote a story about
32:11
Speaker 1: this guy Joe Lupo and Bob Scucci who used to
32:14
Speaker 1: be the co host of the pod years ago, and uh,
32:18
Speaker 1: that story became the book The Odds, in which I
32:21
Speaker 1: spent six months in Vegas tracking the bookmakers and a
32:25
Speaker 1: professional better named Alan Boston, who at the time was
32:28
Speaker 1: the best college basketball better in the world, literally betting
32:32
Speaker 1: more than a million dollars a day on college basketball.
32:35
Speaker 1: And I was into it, not because I was into betting.
32:38
Speaker 1: I loved, as I noted before the romance, the language
32:42
Speaker 1: wise guys sharps, betting dimes, betting nickels, like, all of
32:47
Speaker 1: that was fascinating to me. And I loved the interplay
32:50
Speaker 1: between the bookmakers and the professionals and sort of there
32:53
Speaker 1: was a four hundred million dollar market, four hundred billion
32:57
Speaker 1: dollar market. I mean that was living in the shadows
33:00
Speaker 1: that everywhere around the country was impacted by whether they
33:03
Speaker 1: knew it or not. That's what interested me, and that
33:06
Speaker 1: just evolved into writing columns. I was at ESPN writing
33:09
Speaker 1: columns for ESPN dot com, doing the podcast for ESPN,
33:12
Speaker 1: doing stuff on television for ESPN. Then when I became
33:15
Speaker 1: an executive, you know, launching the betting be at ESPN
33:18
Speaker 1: and hiring people to do it, and then ultimately getting
33:21
Speaker 1: called by the Churning Group to help them launch Action,
33:24
Speaker 1: which has been just a crazy, incredibly satisfying experience from
33:29
Speaker 1: a personal perspective, professional perspective, financial perspective. So I'm very
33:34
Speaker 1: pleased with how it turned out. It's funny how you
33:36
Speaker 1: worried that where It's like, I honestly had no idea
33:39
Speaker 1: there were professional sports betters. I had seen whatever is
33:41
Speaker 1: the Two for the Money whatever the movie was, McConaughey
33:43
Speaker 1: and al Paccino. Yeah, I gotta say, if I learned anything,
33:47
Speaker 1: it's that gambling is not your problem, not even close.
33:50
Speaker 1: You see most gamblers when they go to gamble, they
33:53
Speaker 1: go to win. When we go to gamble, we go
33:55
Speaker 1: to lose subconsciously. But all I knew was a professional
34:00
Speaker 1: poker players like I watched brought as a poker growing up.
34:02
Speaker 1: And I'll just never forget when when I talked to Bobby,
34:05
Speaker 1: that's what he told me. He did, I go, what
34:07
Speaker 1: the hell do you mean? Like you've got the Farmer's Almanac,
34:09
Speaker 1: Like how does one make a living off sports betting?
34:12
Speaker 1: So that that's cool that you came in from that
34:14
Speaker 1: angle of like you knew about the world before you
34:16
Speaker 1: even got into it, where I literally didn't know a
34:19
Speaker 1: single thing about any of it until I got into it.
34:22
Speaker 1: This is how cosmically connected you and I are, Signment,
34:25
Speaker 1: It's why we are kindred spirits. When you were just
34:29
Speaker 1: a young boy barely getting rid of your English accent
34:34
Speaker 1: moving here from across the pond, uh and watching that
34:38
Speaker 1: Tennessee Titans St. Louis Rams game uh and loving the
34:42
Speaker 1: excitement of it. That was one of the pinnacle moments
34:45
Speaker 1: in the odds because I happened to be at the
34:47
Speaker 1: Stardust reporting in that season. That's the season that I
34:50
Speaker 1: did it, and that was season two thousand, Super Bowl
34:57
Speaker 1: rams were two one, and it actually had his the
35:00
Speaker 1: Oracle change to how bookmakers set odds on NFL teams.
35:03
Speaker 1: Because the bookmakers were so overexposed on the rams, they
35:08
Speaker 1: ended up losing millions of dollars even though they won
35:10
Speaker 1: the game because they had because the rams covered, they
35:13
Speaker 1: end up losing millions of dollars and UM on the
35:17
Speaker 1: game and uh on the on the rams. And so
35:20
Speaker 1: they started shrinking the future's odds. And they really don't
35:24
Speaker 1: make teams that long anymore, and they certainly don't take
35:27
Speaker 1: big numbers on those long odds for context that that
35:31
Speaker 1: would be betting Houston to win it all this year. Yes,
35:34
Speaker 1: that's how I'm saying that is That's how insane it was.
35:37
Speaker 1: And then and like you gotta remember, Kurt Warner was
35:40
Speaker 1: a backup quarterback. All right. Last question from Kellen what sophomware?
35:48
Speaker 1: What software does Simon used for his modeling? Excel, Python,
35:51
Speaker 1: something else? Oh man, that's hard to say, because, like
35:56
Speaker 1: I I did used to do sell but I stopped
36:00
Speaker 1: doing that. Um, I've got a lot of model questions.
36:05
Speaker 1: I keep telling people that, I mean, the model is
36:10
Speaker 1: important for sure to what I do. It is very
36:13
Speaker 1: important to get a number, get a base on, and
36:15
Speaker 1: go and work off of those numbers. I mean, me
36:17
Speaker 1: and you had talked about all the time. That's super Bowl.
36:19
Speaker 1: That was a big deal of this past super Bowl.
36:21
Speaker 1: We we made the line three. We believed in that
36:24
Speaker 1: line being three for two weeks. We stuck to it
36:27
Speaker 1: and the game landed on three. Like that's the dream
36:29
Speaker 1: for building a system, But for most people out there,
36:33
Speaker 1: it's that's like you can have to be really really
36:36
Speaker 1: smart with math, and I don't think enough people, like
36:39
Speaker 1: especially people listening to the show, do that. So like
36:42
Speaker 1: when people ask me, what's the most basic system to do?
36:44
Speaker 1: Rank all thirty two teams and like that's that's literally
36:47
Speaker 1: how most systems are done. Like, yeah, you want to
36:51
Speaker 1: break down, like I do, what the get off speed
36:53
Speaker 1: of different offensive lineman is on turf first crass or
36:56
Speaker 1: what d lineman have the fastest three cone drill? And
36:59
Speaker 1: how does that translate to them every year being faster
37:01
Speaker 1: than the offensive linement, Or which linebackers play better off
37:04
Speaker 1: ball or in coverage. It's like that's murky. So yeah,
37:08
Speaker 1: I don't know. People are asking all the time about
37:10
Speaker 1: building out a system, and I told I told people.
37:12
Speaker 1: The basics for me is, you know, I use three
37:14
Speaker 1: different websites and I try to get a median number
37:16
Speaker 1: from all three for each number I use. And I
37:19
Speaker 1: use that just because if you're just using one site, um,
37:23
Speaker 1: you know, if you want to just use pro Football,
37:26
Speaker 1: their numbers are great. I don't know. I like to
37:31
Speaker 1: have more than just one website because there is no
37:33
Speaker 1: one answer to all this. So yeah, for building out systems,
37:37
Speaker 1: people would keep wanting advice on that. I would say,
37:40
Speaker 1: keep researching online and try to find a free one
37:42
Speaker 1: to use as a base and then build from there.
37:44
Speaker 1: If you eventually want to buy one off a website
37:46
Speaker 1: or buy off another person online, I would do it
37:50
Speaker 1: once you're ready to really build it out because it
37:51
Speaker 1: is very time consuming. Before we break, we're doing a
37:55
Speaker 1: speed round. Matt Mitchell. You've got a bunch of questions Simon,
37:58
Speaker 1: and I will answer with one sentence. First reaction, Matt Mitchell, go,
38:02
Speaker 1: if Simon could pretend to hold any college degree, what
38:06
Speaker 1: would it be and where would it be from? Oh man,
38:09
Speaker 1: my dream used to be to go to Pepperdine and
38:13
Speaker 1: I would be I guess business major. Just played safe.
38:16
Speaker 1: Oh no, The answer is psychology major from Oxford in
38:20
Speaker 1: his home country. I don't know. I can't. I can't
38:24
Speaker 1: handle hearing people's problems all that there's nobody listen. Nobody
38:28
Speaker 1: is a better reader of human nature than you. You
38:31
Speaker 1: have nailed it every single time we have a conversation
38:34
Speaker 1: on air or off about human nature. You and I
38:37
Speaker 1: are gonna go hang out in Philadelphia next week at
38:39
Speaker 1: the Phillies game. It will be three hours of you
38:42
Speaker 1: giving me insights on everything that I hadn't even concerned Jane. Wait, Chad,
38:48
Speaker 1: if there was a good old fashioned book burning and
38:51
Speaker 1: you could only save a single copy of a single
38:54
Speaker 1: book you've written, which one do you say? It's got
38:57
Speaker 1: to be The Detonators? Because The Detonators was the book
39:00
Speaker 1: I wrote that was about. It's a true story about
39:04
Speaker 1: a terrorist attack on New York Harbor in nineteen in
39:08
Speaker 1: which German spies blew up New York Harbor, destroyed the
39:12
Speaker 1: Statute of Liberty, decimated Manhattan all the way up to Midtown. Right.
39:17
Speaker 1: Incredible story, crazy, fun book to report, one of my
39:21
Speaker 1: favorite books to work on. Nobody bought it, and it
39:24
Speaker 1: just crushed me, absolutely crushed me. I was supposed to
39:27
Speaker 1: be on the Today Show and then Israel bomb Libya.
39:30
Speaker 1: I got canceled and like all the momentum for the
39:33
Speaker 1: book stopped for like two years. I was depressed. I
39:35
Speaker 1: don't even know if I would ever write another book again.
39:37
Speaker 1: I was so upset. So it would have to be
39:39
Speaker 1: The Detonators because it was my truest labor of love. Yes,
39:43
Speaker 1: you guys switched bodies in a freaky Friday situation for
39:49
Speaker 1: one year. Who would get the better side of that deal?
39:53
Speaker 1: I mean, I'm young, single and have tons of money.
39:57
Speaker 1: I think chat I would have a great time to
39:59
Speaker 1: travel in the world spending my money. Yeah, this is
40:02
Speaker 1: a no brainer. I treat my body like a temple.
40:04
Speaker 1: I'm an incredible shape. I have the heartbeat of an athlete.
40:08
Speaker 1: And by the way, like my wife is pretty hot,
40:11
Speaker 1: and I've got a really comfortable lifestyle, uh, a fair
40:15
Speaker 1: amount of money and zero, like not a ton of
40:19
Speaker 1: responsibilities because my kids are older. So it's a pretty
40:21
Speaker 1: good gig for Simon too. But dude, if I could
40:24
Speaker 1: live like a slaven the NFL better for a year, yeah,
40:27
Speaker 1: and just drink and do whatever I mean it's and
40:29
Speaker 1: know that I could go back to my life after
40:32
Speaker 1: the abating as long as Simon didn't suck it up
40:35
Speaker 1: and get me divorced. Is there any behavior from Batters
40:40
Speaker 1: that makes you immediately think this person is a total loser?
40:44
Speaker 1: Oh my god. I mean there's a million things. If
40:46
Speaker 1: I'm in If I'm in line and there's a guy
40:49
Speaker 1: counting his tickets, all this parlay tickets ahead of me,
40:52
Speaker 1: and it's a Sunday morning, I lose my mind, Like
40:56
Speaker 1: I just want to make my two bets and get
40:57
Speaker 1: out of there, and I have to wait for this
40:58
Speaker 1: guy to put all the tickets down on the counter
41:01
Speaker 1: as he does his thirty different partlays it's to me,
41:04
Speaker 1: that is the worst thing ever. It's like just doing
41:06
Speaker 1: a little chiosk like booth or do it at one
41:08
Speaker 1: of the computer screens. Don't bring them up to the
41:10
Speaker 1: counter with the rest of the other bettors. This is
41:13
Speaker 1: so easy. The single easiest thing to identify in an
41:18
Speaker 1: asshole better is someone who says they've got it all
41:21
Speaker 1: figured out. Yeah. I've spoken to so many people, and
41:25
Speaker 1: believe me, doing this job, most of my time has
41:29
Speaker 1: spent looking for talent. I can't tell you how many
41:32
Speaker 1: people I've spoken to have been like they think this
41:35
Speaker 1: is a hot ticket to get into because they want
41:38
Speaker 1: to be famous, they want to be on TV, they
41:40
Speaker 1: want to be in sports media. Everybody wants betting. I'll
41:43
Speaker 1: talk to people who'll be like, yeah, I've been doing
41:44
Speaker 1: it for six months. I totally got to figure it
41:46
Speaker 1: out and finally, what Action Network personality would make the
41:51
Speaker 1: most effective US president. I'd go Leadoff. I mean, I
41:57
Speaker 1: like crazy and honest. Honest. He's crazy and he's honest. Like,
42:01
Speaker 1: that's to me that that would be the perfect president.
42:03
Speaker 1: Sadly we haven't had in a long time. Wow, you
42:06
Speaker 1: know what, I hadn't thought of Mike Lieboff for that.
42:09
Speaker 1: I was thinking Stucky because he never sleeps, He's got
42:13
Speaker 1: a good he's got a background in finance. He's risky
42:17
Speaker 1: but still thoughtful about his risks. Has great with analytics.
42:21
Speaker 1: But Leeboff did run for mayor in his Long Island
42:24
Speaker 1: town and he only didn't win when he was like twenty.
42:28
Speaker 1: And I think he didn't win because he went to
42:30
Speaker 1: like some summer concert festival instead of showing up for
42:33
Speaker 1: a debate. He would say he wasn't invited and then
42:35
Speaker 1: went to the summer festival. I don't know if that's true.
42:38
Speaker 1: But I do think Leeboff has a lot of empathy,
42:40
Speaker 1: so maybe a Stucky Leeboff ticket would be the way
42:45
Speaker 1: to go Stucky. Yeah, a slip deprived maniac with a
42:49
Speaker 1: financial background sounds like exactly the kind of person, very savvy.
42:58
Speaker 1: I feel like I would also put ray Bun in there.
43:00
Speaker 1: Raybon is freakishly smart. If we wanted like the freakishly
43:05
Speaker 1: smart analytical ticket, we'd have to do Raybon in Kerner,
43:10
Speaker 1: which I also think would be a really good ticket.
43:13
Speaker 1: I look forward to raybonds four day State of the
43:16
Speaker 1: Union address if he shows up because he is because
43:21
Speaker 1: because the night before he might have gotten so drunk
43:24
Speaker 1: he couldn't even bother to show up in time to
43:26
Speaker 1: the State of the Union. That's right, Yeah, he didn't
43:28
Speaker 1: know what times are Listen. These have been amazing questions,
43:31
Speaker 1: and there's still more like what is sign that and
43:34
Speaker 1: I do during the offseason? What are our thoughts on
43:36
Speaker 1: a Sunday ticket moving to sort of a streaming service? Um?
43:41
Speaker 1: What what do we think about different contests to enter?
43:44
Speaker 1: So we will do another mail bag before the NFL
43:49
Speaker 1: season begins again. If you have mail bad questions, send
43:53
Speaker 1: them to podcasts at Action network dot com. Simon, Matt Mitchell,
43:57
Speaker 1: and I will also send out a tweet before we
43:59
Speaker 1: do our next mailbag episode just so people can weigh
44:02
Speaker 1: in with questions directly. Um, but we appreciate listeners. We
44:06
Speaker 1: appreciate you sending us questions. We appreciate you giving us feedback.
44:10
Speaker 1: This has been the favorites from the Volume podcast Network
44:16
Speaker 1: for Simon Hunter, for Matt Mitchell, I am Chad Moman.
44:19
Speaker 1: Download rate review, subscribe, Apple Podcasts, Spotify, give us those
44:26
Speaker 1: five star reviews. Say whatever you want in the comments.
44:29
Speaker 1: We appreciate it. Feedback is a gift. Until next time,
44:33
Speaker 1: I Love you,