Tom Bliss (@DataWithBliss) / X

Tom Bliss

1,626 posts

Tom Bliss

@DataWithBliss

Sr. Manager, Football Ops Data Scientist at @NFL. Alum of @Columbia (Data Science) and @UWMadison (Physics/Astronomy). Born / raised in Oakland, CA 🇬🇾🇺🇸.

New York, NY

datawithbliss.com

Joined September 2018

Tom Bliss
@DataWithBliss
Jul 19, 2023
Using linear optimization, here is how the 65 Power 5 teams from last season could be put into 5 conferences (each with 13 teams):
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Tom Bliss
@DataWithBliss
Jul 18, 2023
Using linear optimization, here is how NFL divisions could be recreated if they were built to minimize distance between teams: (due to large computational times required for confirming divisional grouping with lowest distances, this map may not represent global minimum)
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Tom Bliss
@DataWithBliss
Feb 13, 2024
Using our framework, 2023 KC had the most win prob added via luck of any playoff team since 2018. Most significant plays for KC: - BUF missed FG with 1:47 left (+18.7%) - BUF dropped 54 yd pass with 8:23 left (+18.3%) - Recovery of SF muffed punt with 2:42 left in Q3 (+15.6%)
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Tom Bliss
@DataWithBliss
Oct 29, 2024
Ball land locations of Hail Mary attempts via NGS:
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Tom Bliss
@DataWithBliss
Dec 1, 2021
For each NFL team, here are the top 5 colleges in terms of % of snaps played during the 2021 season. Which college does your team have the most snaps from? (Credit to @JEvanReid for idea)
Tom Bliss
@DataWithBliss
Jun 8, 2022
For each NFL team, here is the % of snaps by the player's team that drafted them or signed them as undrafted FA:
Tom Bliss
@DataWithBliss
Dec 25, 2023
Cody Davis: - Data science degree from Texas Tech - Former Big Data Bowl judge - Scored TD in NFL game
NFL
@NFL
Dec 25, 2023
Another Patriots TD! 📺: #NEvsDEN on @nflnetwork 📱: Stream on #NFLPlus atnfl.co/NEvsDEN
00:00
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Tom Bliss
@DataWithBliss
Oct 2, 2025
New dynamic kickoff -- where have teams kicked the ball thru week 4?
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Tom Bliss
@DataWithBliss
May 17, 2022
Using our analysis where we estimated value of travel, rest and playing at home while accounting for team strength, here are wins added via matchups and schedule advantages for each team in 2022:
Tom Bliss
@DataWithBliss
Jan 26, 2021
Here is how NFL defensive personnel groupings have changed across seasons. While the 4-3-4 (4 DL, 3 LBs, 4 DBs) was the most popular grouping in 2007, the 4-2-5 (4 DL, 2 LBs, 5 DBs) was the most popular grouping in 2020. As teams pass more, we see more DBs on the field.
Tom Bliss
@DataWithBliss
Oct 28, 2025
New dynamic kickoff -- where have teams kicked the ball thru week 8?
81K
Tom Bliss
@DataWithBliss
Dec 5, 2023
More NFL kickoffs than ever have resulted in a touchback in 2023, giving offenses more of an opportunity to pick where the want to start their possession. Here's what they've selected:
240K
Tom Bliss
@DataWithBliss
Nov 11, 2021
How does your team's head coach use their timeouts? Which head coach uses their timeouts most efficiently? We explore timeout usage at the #ExtraPoint. operations.nfl.com/gameday/analyt…
Tom Bliss
@DataWithBliss
Nov 10, 2022
Many things can affect the outcome of an NFL game - some of which are out of a team's control or based on "luck". Here we analyze how luck can affect NFL games by looking at events that are purely determined by opponent performance or lucky bounces. operations.nfl.com/gameday/analyt…