0:00This is an iHeart Podcast. Guaranteed Human. This is the Late-Round Podcast with your host, J.J.
0:05Zacharysen. J.J. Zacharysen. What's up everyone? It's JJ Zacharysen in this episode 1103 of the Late-Round Fantasy Football Podcast.
0:12Thanks for tuning in. Many of you are familiar with the ZAP model.
0:16There's one at running back, wide receiver, and tight end.
0:19And the model aims to project a player's fantasy output across his first three seasons in the NFL.
0:25That's been something you've read and listened about for years now.
0:29And many of you know that draft capital is sort of the foundation of those models.
0:35Everything revolves around where a player gets drafted, and it pivots off of that based on various inputs.
0:41Age-adjusted production, size, teammate scores, program strength, and so on.
0:44A typical wide receiver drafted 50th overall might be expected to have a ZAP score of say 65.
0:50But if he has really good inputs, that number can be a lot higher.
0:55If the inputs are bad, then it can be lower.
0:58Those models have served me well through the years.
1:01They're helpful tools during your rookie drafts to help you make better decisions.
1:05But for a while now, I've been wondering why that logic stops with the NFL draft.
1:11Why create a model like that only for prospecting?
1:14Why not do something similar for our season-long leagues?
1:17That's what myself and Brandon Gadula have been working on this offseason.
1:21And for the first time, I'm talking about it with all of you.
1:25Introducing Market Score. Now before I dive deeper into this, I did want to remind you to check out the brand new late-round.com.
1:33You can become a member, become a subscriber straight on the website now.
1:37Not Patreon. You can pre-order the 2026 draft guide if you'd like.
1:41Or you can just look at how pretty this site is.
1:45Regardless of what you do, at least check it out.
1:48Late-round.com Market Score is a metric that lets us see if a player is overvalued or undervalued by the market.
1:55It looks at a player's average draft position, it factors in some previous season numbers, and it says, This player is expected
2:02to play above or below expected this year. Let me explain this a little bit further.
2:08I talk about average draft position expectation all the time on this show and in the draft guide.
2:14Essentially, when you do a little bit of regression analysis, you can find the number of points per game we'd expect a
2:21player to score at a particular ADP. A wide receiver selected 50th overall, based on history, might be expected to score something like 13 PPR points per game.
2:31That's his expected points per game. Now obviously, if he was drafted earlier, that expectation would rise.
2:36If he's later, it would fall. Market Score takes that number, it factors in some previous season analytics, and it tells us
2:44how many points above or below that number we should expect the player to score.
2:49All based on his ADP. So just like the ZAP model, this is centered around market value.
2:54But instead of draft capital, it's average draft position.
2:57The obvious problem that pops up is that ADP is dynamic.
3:01It changes and it fluctuates. Draft capital, once it's set from the NFL draft, we're good to go.
3:07And that's definitely going to be something I've got to talk about when I reference market score within my content.
3:14The formula might like a player in May or June, but if his cost really changes through the summer, then all of
3:21a sudden we could be looking at the player totally differently.
3:25At least through the lens of market score. Now look, me talking about this, I'm sure you're curious about what market score says about players here in 2026.
3:34But before we get into that, I want to share sort of the historical numbers with this metric to really wrap your head around what this is doing.
3:44Average draft position is a pretty good indicator of how good or bad a player is going to be.
3:50But just like draft capital, it is far from flawless.
3:53And just like draft capital, there are parts of the draft, mostly in the middle and late rounds, where average draft position becomes far less predictive.
4:02For example, middle round tight ends, something I've talked about for years now.
4:06They really just suck. As in, we're terrible at predicting which ones are going to be good.
4:12Tight ends pick 60 first, so just after round 5 through pick 120 or through round 10 of a 12 team league,
4:19there's zero correlation between where the tight end was drafted within that range and how many points per game that tight end scored.
4:27The R squared is .7%, meaning ADP explains virtually none of the variation in fantasy scoring for tight ends drafted in that range.
4:35It's irrelevant. But with market score, we get that R squared to about 14%.
4:40Which isn't like going to solve all of our problems, but it directionally gets us into the right place.
4:46Throughout your draft, in general, market score is more predictive than ADP.
4:50And there are certain spots where historically, it's been insanely more predictive.
4:54Like with middle round quarterbacks. Quarterbacks drafted in that same range, that round 6 through round 10 range, we have an R
5:01squared of 1.3% when looking at ADP versus actual points per game since 2014.
5:06With market score, so if we replace expected fantasy points per game on ADP with a player's expected fantasy points per game
5:13via market score, that R squared shoots up to 23%.
5:17That's pretty crazy. Now I could go on and on talking about this, but the TLDR is that this has been tested
5:24and throughout your draft, market score is going to be more predictive than average draft position.
5:30Or at least average draft position expectation. Otherwise, why would we want to have a model like this, right?
5:36There would be no point to have market score if it wasn't more predictive than what ADP is just generally giving you.
5:43Now just to be clear, market score can be both positive and negative.
5:48And it generally will range from like minus 4 to plus 4.
5:52Meaning a player would be expected to score between minus 4 to plus 4 PPR points per game above or below his expected points per game.
6:00A score of 0 would mean he's simply expected to score what his ADP says he'll score.
6:06He's being drafted in the right place. Let's start with quarterback to really wrap our heads around this concept.
6:12When looking at early round quarterbacks or top 60 picks since 2014, quarterbacks with market scores below minus .5 have beaten expectation
6:20by 2 or more points per game at a 25% rate.
6:24They've underperformed versus expectation by 2 or more points at a 38% rate.
6:28When that market score is above 1 though, the opposite end, when market score is saying this quarterback is undervalued by at least 1 point per game.
6:37We see those quarterbacks outperform expectation by 2 or more points per game at a 36% rate.
6:43So it's 11 percentage points higher than when they were at minus .5 or lower in market score.
6:49And then they underperformed by 2 or more points per game at just a 9% rate.
6:54So essentially, I can look at all of this in a similar way that I do other analysis for the draft guide each year.
7:02I can find a player's market score at a certain position, and I can see how frequently that player played really far
7:09above or really far below expectation in that given year.
7:13Now as for results, since 2025 is fresh in our minds, let's go over some of those.
7:18And I'm only going to include players who ended up playing 8 or more games so we have enough of a sample
7:26to judge their points per game outputs. Last year, unfortunately, the best value by market score at quarterback was Jalen Hurts.
7:33This is not off to a good start. I was in on him too.
7:38And he underperformed versus expectation. His market score was plus 2.6 last year, meaning the metric thought that he'd outperform his ADP expectation by 2.6 points per game.
7:47But he underperformed by 1.1 points per game. Since 2014, we've had 15 other quarterback seasons where the quarterback entered the year with a market score above 1.5.
7:56So Hurts was a good bit above that. Of those 15, 3 of them failed to play 8 or more games.
8:03So there's 12 remaining quarterbacks. And of those 12 quarterbacks, only 3 of them played below expectation.
8:09So essentially, Jalen Hurts underperforming last year wasn't something that we'd seen very frequently with his type of market score.
8:16Aside from Hurts though, on the top of the list in market score last year, we had Josh Allen.
8:22He played over 2 points above expected. Caleb Williams, he also played 2 points above expected.
8:28And then Brock Purdy played 4 points above expected.
8:31Those were the top players at quarterback within market score last year.
8:35On the flip side, the four biggest fades at quarterback according to market score were Baker Mayfield, Jared Goff, Lamar Jackson, and Jordan Love.
8:43Now Goff technically played above expected, albeit barely. But the other three, they technically played below expected.
8:48Especially Baker Mayfield, who ended up busting, and then Lamar Jackson.
8:52He busted even more. And then there's the running backs who were drafted in the top 10 rounds by ADP.
8:59Like quarterback, we had a pretty big miss at the top of the list at running back in Alvin Kamara.
9:05He played 3.8 PPR points per game below expected, when his market score was plus 2.8.
9:11That's a big miss. But the other players at the top of that list, Brees Hall, played slightly above expected.
9:17Zach Charbonnet, well above expected. And then Devon Achan and Jameer Gibbs.
9:22Both of them crushed last year. Now on the flip side, market score didn't like Ja'Cory Krosky-Meritt.
9:27That was solid. It didn't like Nick Chubb, who barely squeezed into that range based on the ADP source that we're using over at FantasyData.com.
9:36But that was obviously a win. It didn't like RJ Harvey very much.
9:40That was a pretty good call. And then the other call out was Kyron Williams, which was kind of a miss.
9:47But Williams did start to see that dip in production as the season went on.
9:52So last year at running back, overall okay, but nothing amazing.
9:56Wide receiver and tight end really crushed last year.
9:59Listen to the top five values at wide receiver according to market score last season.
10:04Puka Nakua was first with a market score of 2.8.
10:07He crushed. Jalen Waddell was next and he played 2.2 points per game above expected.
10:12And then it was George Pickens. He destroyed. A.J.
10:15Brown was next. He technically actually played above ADP expectation, though it wasn't a great year.
10:21And then lastly, Chris Alave. I mean that's a solid, solid group of five players.
10:26You had three league winning wide receivers in that group.
10:29And then on the flip side, market score didn't like Marvin Harrison the most.
10:34That's a W. Stefan Diggs was on there. That was kind of whatever.
10:38But so was Cooper Cup, Justin Jefferson, and DK Metcalf.
10:41Market score literally said Justin Jefferson had a score of minus one last year.
10:46I think that's pretty cool. And then listen to the top four tight end values last year.
10:52The tight ends with the highest market scores. Tyler Warren, George Kittle, Tucker Craft, and Trey McBride.
10:57Here are the worst values. Evan Ingram, David Njoku, TJ Hawkinson, and Travis Kelsey.
11:02Now some of these names were predictable without using market score.
11:06Of course. A lot of them were targets. A lot of them were avoids in the draft guide last year.
11:12But just like the zap models, I think market score can serve as a metric that can ground us.
11:19If we're really high on a player, but market score says, hey, this is a red flag situation.
11:25Maybe we look into that player a little bit more.
11:28And I feel that way a little bit about guys being drafted here in 2026.
11:33Not so much a quarterback though. The player with the best market score is, drumroll please, Josh freaking Allen.
11:40Go figure. The model just loves him for obvious reasons.
11:43But he's sitting with a market score of 2.3.
11:46And that's at an overall ADP of 29th overall.
11:49At 29th overall, his expected points per game is 20.3.
11:52So market score implies something closer to 22.6. Other names at the top of the list right now include Jackson Dart, which I thought was pretty interesting.
12:01Cam Ward, which I thought was really interesting. Jalen Hurts once again.
12:05And then Justin Herbert. All players that I can definitely get behind in one way or another.
12:11Now on the flip side, the biggest call out is definitely Matthew Stafford.
12:15Beyond him, there aren't a ton of red flag players.
12:19But Stafford's got a score of minus 2.5, which really is a number that we don't see that much from a non-elite quarterback.
12:27Funny enough, back in 2022, Matthew Stafford was the QB 12 and he had a market score of minus 1.6.
12:33In nine games that year, he played 5.3 points per game below expected.
12:38Now I highly doubt that happens, but we know regression is coming for Stafford.
12:42So it's no surprise that he's at the bottom of the list when you consider cost, which is 94th overall in QB 13.
12:50The running back list actually shocked me a little bit.
12:53Kyle Monungay and Blake Corum, two players I literally just talked about last week as high floor, kind of low ceiling without an injury type of players.
13:02Market score loves them. They have scores of almost two.
13:06On the red flag side, it's Kyron Williams. So I think the model just doesn't like in general for a number of
13:13reasons, but it's Kyron Williams and Tony Pollard. The fact that my analysis on Pollard called him a fade, and then this
13:21is saying that he'll play 1.8 points per game below expected.
13:24It's not looking great. Now after last year's wide receiver showing, I was pretty interested to see what market score said about this year's group.
13:33And we got familiar faces at the top. Puka Nakua and George Pickens.
13:37Jordan Tyson was actually third on the list. A lot of that has to do with the fact that rookies get treated
13:44differently within the model because we don't have previous season data.
13:48And unsurprisingly, the market score model uses zap scores as an input because zap score is predictive.
13:54And the zap model loved Jordan Tyson. So this model likes him a lot too.
13:59Carnell Tate's really high too, as is Wondell Robinson, Alec Pierce, and Terry McLaurin.
14:03Market score just seems to really like this Tennessee passing attack, which is kind of frightening.
14:09On the flip side, as much as it pains me, it's not vibing much with Emeka Ibuka.
14:14That's something that's going to want to make me investigate further.
14:18It also doesn't really like Quentin Johnston. And then the last call out is CeeDee Lamb.
14:24So it likes Pickens at his ADP, but it doesn't like Lamb at his ADP.
14:29It doesn't mean that it likes Pickens straight up more than Lamb.
14:33Remember, this is all versus cost. And Lamb's a 10th overall pick according to this ADP.
14:38Pickens, 26th. And then lastly, tight end. I thought this was pretty funny.
14:42I mentioned some tight ends on last week's mailbag episode without even looking at market score.
14:48And literally three of the top four tight ends by market score are players that I mentioned.
14:53Greg Dolcich is number one. Tucker Craft is number two.
14:57Pat Friermuth is number three. And Jawan Johnson is number four.
15:00On the other end, it's got a bunch of rookie tight ends.
15:04And then Brock Bowers is actually viewed as overvalued.
15:07Though I wouldn't overthink that. David Njoku, Jake Ferguson, and Dallas Goddard round things off on the red flag side.
15:14Now, all of those names are going to change as the summer moves forward.
15:19Because average draft position changes. We're still very early on in this process.
15:23But as we get into August when our drafts are happening, we'll have a pretty good idea of which players market score
15:31is into and which players it isn't. And there's no doubt I'm going to be referencing those scores both on the podcast
15:38and in the draft guide this year. There's so much to still uncover with this metric.
15:43This is really the 2.0 of late round fantasy football.
15:47We've got this new website. We have this new members hub.
15:50But Brandon Gadula and I, we're also working on a ton of these different ways that we can dissect this game through numbers and analytics.
15:59Market score is awesome. It's something that we want to continue to develop and make better.
16:04But beyond market score, there's more on the way too.
16:07That's it for today's show though. Thanks to all of you for listening.
16:12If you yet subscribed to the Late Round Fantasy Football Podcast, make sure you are by searching for it pretty much anywhere podcasts can be found.
16:21And don't forget to follow me on Twitter and on Blue Sky at LateRoundQB.
16:25Thanks for listening everyone. I'll be back in your ears on Wednesday, live on YouTube for the Late Round Fantasy Football Show.
16:33And then on Friday, you get an episode of Late Round Perspectives.
16:37I'll talk to you then. This is an iHeart Podcast.
16:40Guaranteed human. Hello, everyone. I'm back.