The Giants' turnovers with Najee Harris and without Najee Harris
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Against what the season’s ratings expected, the Giants were 0.7 turnovers over with Najee Harris and 0.8 turnovers under without Najee Harris over their last 35 games, 5 games against 2. The plain averages are 2.0 and 0.5, a difference of 1.5.
Najee Harris, running back: 99 rushing yards, 31 carries and 1 reception in 5 of those 35 games.
2 games without Najee Harris is still too small a sample for the statistics to say much, but maybe you can find something if you squint.
turnovers a game over expected
with Najee Harris
+0.7
without Najee Harris
−0.8
02
A +1.5 difference in turnovers over expected with Najee Harris vs without Najee Harris is about what you’d expect.
plain
2.0
0.5
01234
A +1.5 difference in turnovers with Najee Harris vs without Najee Harris is about what you’d expect.
The games
with Najee Harriswithout Najee Harris
| Side | Date | Game | Result | turnovers | Expected |
|---|---|---|---|---|---|
| Oct 20, 2024 | vs PHI | L | 0 | 1.6 | |
| Oct 28, 2024 | @ PIT | L | 2 | 1.5 | |
| Nov 3, 2024 | vs WAS | L | 1 | 1.2 | |
| Nov 10, 2024 | vs CAR (neutral) | L | 3 | 1.0 | |
| Nov 24, 2024 | vs TB | L | 1 | 1.2 | |
| Nov 28, 2024 | @ DAL | L | 2 | 1.3 | |
| Dec 8, 2024 | vs NO | L | 1 | 1.1 | |
| Dec 15, 2024 | vs BAL | L | 1 | 1.1 | |
| Dec 22, 2024 | @ ATL | L | 3 | 1.1 | |
| Dec 29, 2024 | vs IND | W | 0 | 1.4 | |
| Jan 5, 2025 | @PHI | L | 1 | 1.6 | |
| Sep 7, 2025 | @WAS | L | 0 | 1.1 | |
| Sep 14, 2025 | @DAL | L | 1 | 1.1 | |
| Sep 21, 2025 | vs KC | L | 2 | 1.1 | |
| Sep 28, 2025 | vs LAC | W | 0 | 1.2 | |
| Oct 5, 2025 | @NO | L | 5 | 1.1 | |
| Oct 9, 2025 | vsPHI | W | 0 | 1.2 | |
| Oct 19, 2025 | @ DEN | L | 1 | 1.2 | |
| Oct 26, 2025 | @PHI | L | 0 | 1.2 | |
| Nov 2, 2025 | vs SF | L | 0 | 1.1 | |
| Nov 9, 2025 | @ CHI | L | 1 | 1.3 | |
| Nov 16, 2025 | vs GB | L | 2 | 1.1 | |
| Nov 23, 2025 | @ DET | L | 1 | 1.2 | |
| Dec 1, 2025 | @ NE | L | 1 | 1.2 | |
| Dec 14, 2025 | vsWAS | L | 1 | 1.1 | |
| Dec 21, 2025 | vs MIN | L | 1 | 1.2 | |
| Dec 28, 2025 | @ LV | W | 0 | 1.2 | |
| Jan 4, 2026 | vsDAL | W | 1 | 1.1 | |
| Sep 13, 2026 | vsDAL | W | 1 | 1.3 | |
| Sep 21, 2026 | @ LA | L | 1 | 1.3 | |
| Sep 27, 2026 | vs TEN | W | 0 | 1.3 | |
| Oct 4, 2026 | vs ARI | W | 3 | 1.2 | |
| Oct 11, 2026 | @WAS | T | 2 | 1.3 | |
| Oct 18, 2026 | vsNO | L | 4 | 1.3 | |
| Oct 25, 2026 | @ HOU | W | 0 | 1.3 |
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 2% 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.
- 28 games in 2024 and 2025 are neither with Najee Harris nor without Najee Harris: Najee Harris had no game for the team those seasons, and sit out.