Data & Analytics @NFL, with stops at Skidmore (Asst Prof), Brown (PhD), UMass (MS), and Bates (Math, 🏈)
Joined March 2012
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This says as much about ESPN as it does the Knicks
Betting markets were
Game 1: 90%
Game 2: 74%
Game 4: 96%
Game 5: 85%
It was a bunch of great comebacks, but as is often the case in every sport, not as extreme as the worldwide leader indicates
According to ESPN Analytics, in the 4 games the Spurs lost in the NBA Finals, they had a...
— 91.6% chance of winning Game 1 up 13 points midway thru the 3rd
— 72.8% chance of winning Game 2 up 2 points with 1 minute left in the 4th
— 99.6% chance of winning Game 4 up 20 points with 9:33 left in the 4th
— 95.4% chance of winning Game 5 up 10 points with 7:54 left in the 4th
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Related: @dcervone0 had a great post (only now found in the archives) about win probability extremes and switches/oscillations.
Fluctuations are more common than one would expect
web.archive.org/web/20200808…
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Michael Lopez retweeted
The team's ORTGs in the last 2 minutes of games 1 through 4:
NYK: 129
SA: 67
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Michael Lopez retweeted
Jun 13
Some data from USA's 4-1 win over Paraguay
🇺🇸 4-1 🇵🇾
#FIFAWorldCup #USMNT
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Michael Lopez retweeted
We have a model that uses tracking data to estimate how a play might end. Of the 75 threes attempted in Game 4, there was only *ONE* where the most likely outcome at the moment of the shot release was an offensive rebound:
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Michael Lopez retweeted
Jun 11
Clutch Win Probability Added leaderboard for the 1st four games of the 2026 NBA Finals.
This counts all potential clutch plays - field goals, free throws, rebounds, turnovers, steals, blocks, and assists.
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Michael Lopez retweeted
Jun 8
2026 FIFA World Cup Simulations
Top 5: 🇧🇷🇪🇸🇦🇷🏴🇫🇷
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Michael Lopez retweeted
Jun 6
82-0 🏒
Website by @WadlowBrendan
Historical ratings from me
Good luck and enjoy
nhl-82-0.com/
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Michael Lopez retweeted
Jun 3
Nice charts this morning from @EmilyGiam and @jonahesmith, showing day-to-day hotel prices in World Cup host markets in extreme detail.
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Michael Lopez retweeted
Jun 3
Eric Eager (Chief Nerd for the Panthers) was featured in s4e1 of Panthers Blueprint
Fans get a peek into Eric's war room setup:
👉live % odds of player availability
👉dynamic trade scenario risk calcs
👉GM Dan Morgan's "gut feel" instincts encoded as a weighted model feature
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Michael Lopez retweeted
Jun 2
In here is a promotion for Max Napolitano to Vice President, Football Administration and Strategy.
Miami made more analytics promotions, too:
Ella Summer was promoted to Director, Football Analytics and Rachael Kaplan was promoted to Football Analyst.
Jun 1
We have announced a series of promotions and additions to our personnel, front office and player performance staffs.
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Michael Lopez retweeted
May 28
We talked to nearly 100 people about youth sports in New Jersey and found a predatory industry that is leaving parents broke, exhausted and wondering how the games of their childhood took over their adult lives. Our six-month investigation: nj.com/sports/2026/05/the-sh…
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May 29
Happy 15th anniversary to @MandelSNY and I falling thru the TD Garden balcony at the end of Bruins Lightning Game 7
19 May 2016
tbt to 5 yrs ago, when @MandelSNY and I fell through TD Garden during Game 7 of the ECF archive.boston.com/sports/ho…
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Michael Lopez retweeted
May 28
The Raiders are hiring a Football Data Science Assistant:
workforcenow.adp.com/mascsr/…
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May 27
Stephanie Kovalchik (@StatsOnTheT) has a new book out with history of many sports analytics stories/people amazon.com/dp/3982847702?ref…
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May 23
So @tomhaberstroh’s research of players falling down was great, but one more thought:
Does a foul cause a fall down? Or does a fall down cause a foul?
We can backtrack the odds of a foul using Tom’s table
For SGA, his odds of drawing a foul were 5x higher when he fell down.
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May 23
Original research here
May 22
OK I did it. I tracked over 1,000 shots for SGA, Brunson, Harden, Spida and Wemby in the playoffs. Here's how often they fell: sports.yahoo.com/nba/article…
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Strongly recommend checking out a new #sportsanalytics book by (one of the best in the field) Stephanie Kovalchik (@StatsOnTheT ) called - 'Out of Left Field: Improbable stories in sports analytics' leftfieldanalytics.com/ Order it now! sellercentral.amazon.com/nms…
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May 22
Lamppost analytics OG
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NHL may be slow to brace analytics. Brian Burke: "Statistics are like a lamppost to a drunk," good for support not illumination #ssac13
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