The Eagles' sacks taken with Saquon Barkley and without Saquon Barkley
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Against what the season’s ratings expected, the Eagles were 0.7 sacks over with Saquon Barkley and 0.4 sacks under without Saquon Barkley in 2026, 6 games against 2. The plain averages are 3.2 and 2.0, a difference of 1.2. All 3 away games were with Saquon Barkley. All 3 division games were with Saquon Barkley. All 4 first-half games were with Saquon Barkley.
Saquon Barkley, running back: 274 rushing yards, 56 carries and 7 receptions in 6 games this season.
2 games without Saquon Barkley 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 +1.1 difference in sacks taken over expected with Saquon Barkley vs without Saquon Barkley is about what you’d expect.
A +1.2 difference in sacks taken with Saquon Barkley vs without Saquon Barkley is about what you’d expect.
The games
| Side | Date | Game | Result | sacks taken | Expected |
|---|---|---|---|---|---|
| Sep 13, 2026 | vs WAS | W | 3 | 2.5 | |
| Sep 20, 2026 | @ TEN | W | 3 | 2.4 | |
| Sep 28, 2026 | @ CHI | L | 2 | 2.7 | |
| Oct 4, 2026 | vs LA | L | 4 | 2.3 | |
| Oct 11, 2026 | vs JAX (neutral) | L | 1 | 2.5 | |
| Oct 18, 2026 | vs CAR | L | 3 | 2.2 | |
| Oct 26, 2026 | vs DAL | L | 2 | 2.4 | |
| Nov 1, 2026 | @WAS | L | 5 | 2.4 |
Method
- Expected is an offense and a defense a team, fit over every 2026 game between two teams in the table with the game being read left out, plus 0.0 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 20% 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.