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Mike's avatar

Hello, sports analytics apologist here. I saw your article referenced in a Defector article so thought I'd chime in.

First, as others have mentioned, I think this kind of observational analysis is super important to pressure-test sports analytics maxims like G42D8. Often times, these analytics ideas do not really incorporate any intangible and/or psychological factors that may be present in sports (momentum, clutch, chemistry, etc). I do think you are on to something but did have a few comments:

(Semantics point): G42D8 is not really based on modeling and empirical evidence, but rather math with strict assumptions. If you assume your OT win rate is 50% AND that you have enough time for exactly only one more offensive possession in regulation, you really only need your 2P conversion success rate to be ~35% in order for it to be worth it on paper. I read your previous article, so yes I know that the chances of winning the game are extremely low no matter what. G42D8 is not a silver bullet, but rather a last-ditch effort to improve win probability as much as possible. The reason I point this out is that the assumptions do some heavy lifting in the "G42" argument.

How many of the 17 wins in your "Kick" dataset did the comeback team have multiple regulation possessions after the first TD? G42D8 assumes that the comeback team only has time for one more possession in regulation. If comeback team scores the TD+XP, gets ball back and scores another TD+XP, and gets ball back again and kicks a FG, then I would argue that there was too much time on the clock for this truly to be a G42D8 scenario. The only outcome in which "Kick" would be better is if they make both XPs to send the game to OT, and then they win in OT (while in the counterfactual, they miss both 2P conversions so game does not reach OT).

Perhaps the argument is that analytics people are over-applying G42D8, and in cases where the comeback team has more bites at the apple. I have definitely seen Seth use it where there was clearly too much time in the 4th. I agree that there should be more nuance about when in the fourth quarter it actually applies. Or maybe it's that you cannot reliably predict how many more possessions you have left in a game, which makes G42D8 moot.

Another key assumption is that the probability of getting the ball back without surrendering points is independent of the decision to go for 2 or kick. In reality, missing a 2-point try might affect defensive morale or aggressiveness, just as converting it could give a psychological boost. That’s an interesting empirical angle to explore. Similarly, it would be interesting to analyze whether the comeback team is truly 50% in OT. Could be they are more likely to win because of something like momentum. Could be they are less likely to win because they are probably the inferior team.

Sample sizes are small, but they are always small in football so I'm not going to dismiss your analysis for that reason. It does mean though, as you mention, that we kind of have to look at this anecdotally, and understand the contexts of each game, which is why I asked about the context of the 17 wins earlier. At the end of the day, I just hope more teams continue to go for 2 so we can get more data!

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Woody's avatar

Is it possible to look at cases only where the trailing team scored the two regulation TDs required to fully test the theory? I.e., strip out times where they went for two/kicked the XP but then never scored again anyway.

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