The Giants' sacks taken with Devin Singletary and without Devin Singletary
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Against what the season’s ratings expected, the Giants were 0.3 sacks over with Devin Singletary and 0.6 sacks over without Devin Singletary over their last 35 games, 32 games against 3. The plain averages are 2.9 and 3.0, a difference of 0.1. Expected was 0.2 sacks higher with Devin Singletary than without Devin Singletary. Both games after a bye were with Devin Singletary. Both games on a short week were with Devin Singletary.
Devin Singletary, running back: 733 rushing yards, 194 carries and 37 receptions in 32 of those 35 games.
3 games without Devin Singletary is still too small a sample for the statistics to say much, but maybe you can find something if you squint.
sacks taken a game over expected
A −0.2 difference in sacks taken over expected with Devin Singletary vs without Devin Singletary is about what you’d expect.
A −0.1 difference in sacks taken with Devin Singletary vs without Devin Singletary is about what you’d expect.
The games
| Side | Date | Game | Result | sacks taken | Expected |
|---|---|---|---|---|---|
| Oct 20, 2024 | vs PHI | L | 8 | 2.5 | |
| Oct 28, 2024 | @ PIT | L | 4 | 2.5 | |
| Nov 3, 2024 | vs WAS | L | 2 | 2.6 | |
| Nov 10, 2024 | vs CAR (neutral) | L | 2 | 2.4 | |
| Nov 24, 2024 | vs TB | L | 4 | 2.7 | |
| Nov 28, 2024 | @ DAL | L | 6 | 2.7 | |
| Dec 8, 2024 | vs NO | L | 2 | 2.6 | |
| Dec 15, 2024 | vs BAL | L | 3 | 2.9 | |
| Dec 22, 2024 | @ ATL | L | 3 | 2.2 | |
| Dec 29, 2024 | vs IND | W | 0 | 2.5 | |
| Jan 5, 2025 | @PHI | L | 0 | 3.0 | |
| Sep 7, 2025 | @WAS | L | 2 | 2.8 | |
| Sep 14, 2025 | @DAL | L | 3 | 2.3 | |
| Sep 21, 2025 | vs KC | L | 2 | 2.3 | |
| Sep 28, 2025 | vs LAC | W | 6 | 2.5 | |
| Oct 5, 2025 | @NO | L | 1 | 3.0 | |
| Oct 9, 2025 | vsPHI | W | 2 | 2.7 | |
| Oct 19, 2025 | @ DEN | L | 4 | 3.5 | |
| Oct 26, 2025 | @PHI | L | 5 | 2.6 | |
| Nov 2, 2025 | vs SF | L | 2 | 2.0 | |
| Nov 9, 2025 | @ CHI | L | 4 | 2.4 | |
| Nov 16, 2025 | vs GB | L | 2 | 2.5 | |
| Nov 23, 2025 | @ DET | L | 1 | 3.3 | |
| Dec 1, 2025 | @ NE | L | 2 | 2.5 | |
| Dec 14, 2025 | vsWAS | L | 1 | 2.9 | |
| Dec 21, 2025 | vs MIN | L | 5 | 3.0 | |
| Dec 28, 2025 | @ LV | W | 2 | 2.5 | |
| Jan 4, 2026 | vsDAL | W | 4 | 2.2 | |
| Sep 13, 2026 | vsDAL | W | 2 | 2.3 | |
| Sep 21, 2026 | @ LA | L | 2 | 2.3 | |
| Sep 27, 2026 | vs TEN | W | 3 | 2.4 | |
| Oct 4, 2026 | vs ARI | W | 4 | 2.5 | |
| Oct 11, 2026 | @WAS | T | 2 | 2.5 | |
| Oct 18, 2026 | vsNO | L | 5 | 2.3 | |
| Oct 25, 2026 | @ HOU | W | 3 | 2.8 |
Method
- Expected is an offense and a defense a team, fit over every game of its season between two teams in the table with the game being read left out, minus 0.1 in 2024, plus 0.0 in 2025, plus 0.0 in 2026 for the home team (the edge the fit finds once strength is in), nothing at a neutral site.
- Each expected number is then fit to the season’s games: a game bears out about 51% in 2024, 61% in 2025, 20% in 2026 of the difference the model predicts.
- The shuffle keeps the season’s shape: the games are cut in two where one date leaves the least variance, each game is read against its stretch, and the sides are shuffled only inside each stretch.
- Who played is read from the snap counts, which name every player who took a snap on offense, defense or special teams.