Griff
495 posts

Griff
@boostmerchant
Sports Analytics | SDQL Bachelor
Katılım Nisan 2020
103 Takip Edilen1.1K Takipçiler

Pretty sure there’s models for expected make percentage that factor in distance, site, weather, etc
Would be interesting to see this same chart as “Opponent Made FG % Above Expected” to see who got relatively lucky/unlucky with opponent kickers
Warren Sharp@SharpFootball
Opponent's Made Field Goal % (2025)
97% - KC
95% - DEN
94% - DAL
93% - DET
92% - NO,BUF, CIN
91% - LV
90% - ARI
89% - TEN, LAC
88% - GB, CAR, BAL, NYJ
87% - PIT
86% - IND
84% - LAR, NYG
83% - JAX, MIA, PHI, NE
82% - CLE
81% - ATL, SEA, WAS
80% - TB, MIN
77% - CHI
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The last 5–6 weeks have been insane. Won more than ever, especially for this part of the season.
When I zoom out, it’s honestly wild that I get to do this for a living.
At 14–15 I was good at math, ultra-competitive, loved sports, and hoped to be a sports analyst one day.
Today I’ve somehow combined all of that, watching NBA games, going deep into the data, doing the research, and competing against other sharp minds.
On top of that, I started a company with one of my best friends, work every day with an amazing group of people, and pour everything I know into a product I’m genuinely proud of.
Very grateful and blessed. Life is good.
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Feel like this post should be about going for 2-for-1 instead of winning the jump ball
Josh Chambers@JoshChambers
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@BillsandBeers @JustifiedBecuz @john_iller @HalToHell Fourth down at the 1 yard line. Calling timeout over delay of game 100% of time
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It took 150 years for the smartest baseball minds in the world to figure out that the best hitters should hit the most
Stats@redsoxstats
League shift in wRC+ by spot in the order
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Technical free throws not being shot by the best free throw shooter on the floor
Still happens today
Kirk Goldsberry@kirkgoldsberry
What is the basketball equivalent to this?
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There are real people like this that are paid to talk about sports
ProFootballTalk@ProFootballTalk
These low-percentage outcomes seem to happen far more often than the low-percentage numbers would suggest.
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Griff retweetledi

Passing out of heavy formations (12p, 13p, etc.) is the current NFL meta right now, spearheaded by teams like the Seahawks, Patriots, Chiefs, and Rams (post bye).
I wanted to dig more into this through 10 weeks of the 2025 season, and I found some interesting data points:
Starting with efficiency out of these various formations, I grouped them by 1 TE (11, 01), 2 TE/FB (12, 21), and 3+ TE/FB (13, 22, 23) sets. Here are the results:
Yards per pass attempt:
+ 1 TE: 6.96
+ 2 TE/FB: 7.41
+ 3+ TE/FB: 7.67
Completion Percentage:
+ 1 TE: 64.2%
+ 2 TE/FB: 68.6%
+ 3+ TE/FB: 66.0%
A notable uptick in efficiency when passing out of heavier sets.
On the same note, I ran the correlation between running heavy personnel and team passing efficiency as a whole. I was pretty surprised when the R-squared (correlation) was just 0.052, indicating that passing efficiency was not really influenced by formation.
Just to experiment, I decided to remove three teams from the dataset. Those 3 teams were the ones above a 50% rate of heavy personnel, which were the Browns, Steelers, and Ravens. I deemed a greater than 50% rate to be the benchmark for where teams switch from running heavy personnel by choice to running heavy personnel out of necessity (lack of WR talent).
When removing these 3 teams, the R-squared shot up to 0.316, increasing the correlation between heavy personnel and total passing efficiency by over 6x. This 0.316 number is a VERY strong correlation for a non-descriptive stat (ie: total yards, TDs, etc.). For reference, this would be just slightly less effective in terms of predictiveness of offensive passing efficiency than a team's adjusted completion percentage, and more predictive than catchable throw rate.
Passing out of heavy personnel, therefore forcing defenses into more base sets with less capable pass-defenders on the field, has unlocked high-end passing efficiency for offenses. Look no further than the most efficient passing game in the NFL this year in the Seattle Seahawks (leading in EPA and yards per attempt) to see the perfect example of this, who is running heavy personnel at the 5th highest rate in the NFL.
All data here is of course per the @FantasyPtsData data suite.
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Kind of a crazy stat from @Brentley12 on @minakimes show
The last time the Panthers won as a favorite was Week 3 2021
Since then they are 0-10 as a favorite

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@knechthedots @BillSimmons Totally agree. The problem is the ceiling of a team like that is very limited IMO, add in the off court stuff and you can see why the market for him is not really there
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How do you open your pod with a Ja to Miami trade idea without mentioning that Miami has been running the same low-frequency pick and roll offense that Ja hated in Memphis last year? @BillSimmons
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Griff retweetledi

This will end up a massive Jets W
Adam Schefter@AdamSchefter
ESPN sources: Colts are trading two first-round picks to the Jets for CB Sauce Gardner.
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Griff retweetledi

NBA is back and we just dropped "Closing Lines Mode" 🔥
Plain hit rates suck and PropsMadness is always a step ahead. Here’s why 👇
Three angles on JJJ:
1) Current line (22.5): 42.5% hit rate (34/80) - line seems high
2) Closing Lines Mode: 53.8% (43/80) - basically a coin toss. Books adjust.
3) PropsMadness context: vs bad defenses like the Pelicans, he averaged 26.2 pts with an 80% hit rate (12/15) against closing lines.
Hit rates alone won't cut it. Books are getting smarter, so should you. Join PropsMadness.

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