
Ohio’s carries with Duncan Brune and without Duncan Brune
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Against what the season’s ratings expected, Ohio was 1.4 carries over with Duncan Brune and 1.2 carries over without Duncan Brune over its last 25 games, 18 games against 4. The plain averages are 39.9 and 40.6, a difference of 0.7. All 4 games after a bye were with Duncan Brune. All 3 of Tim Albin’s games were without Duncan Brune. All 12 of Brian Smith’s games were with Duncan Brune.
Duncan Brune, running back: 1,048 rushing yards, 211 carries and 10 receptions in 20 of those 25 games, 26% of Ohio’s carries in those games.
carries a game over expected
with Duncan Brune
+1.4
without Duncan Brune
+1.2
-10010
A +0.2 difference in carries over expected with Duncan Brune vs without Duncan Brune is about what you’d expect.
plain
39.9
40.6
304050
A −0.7 difference in carries with Duncan Brune vs without Duncan Brune is about what you’d expect.
The games
with Duncan Brunewithout Duncan Brune
| Side | Date | Game | Result | carries | Expected |
|---|---|---|---|---|---|
| Nov 29, 2024 | vs | W | 40 | 36.0 | |
| Dec 7, 2024 | vs | W | 44 | 36.4 | |
| Dec 20, 2024 | vs | W | 43 | 43.4 | |
| Aug 28, 2025 | @ | L | 31 | 35.3 | |
| Sep 6, 2025 | vs | W | 47 | 39.5 | |
| Sep 13, 2025 | @ | L | 34 | 33.3 | |
| Sep 20, 2025 | vsGGardner-Webb | W | 47 | — | |
| Sep 27, 2025 | vs | W | 36 | 39.6 | |
| Oct 4, 2025 | @ | L | 36 | 40.5 | |
| Oct 18, 2025 | vs | W | 50 | 42.2 | |
| Oct 25, 2025 | @ | W | 42 | 41.2 | |
| Nov 4, 2025 | vs | W | 28 | 39.8 | |
| Nov 11, 2025 | @ | L | 39 | 36.9 | |
| Nov 18, 2025 | vs | W | 56 | 43.5 | |
| Nov 28, 2025 | @ | W | 54 | 44.8 | |
| Dec 23, 2025 | vs | W | 39 | 37.2 | |
| Sep 5, 2026 | @ | L | 33 | 31.9 | |
| Sep 12, 2026 | vs | W | 46 | 37.8 | |
| Sep 19, 2026 | @ | L | 28 | 34.4 | |
| Sep 26, 2026 | vsSStonehill | W | 48 | — | |
| Oct 3, 2026 | @ | W | 39 | 33.3 | |
| Oct 10, 2026 | vs | W | 50 | 35.0 | |
| Oct 17, 2026 | @SSacramento State | W | 41 | — | |
| Oct 24, 2026 | vs | W | 24 | 37.5 | |
| Nov 3, 2026 | @ | W | 26 | 35.9 |
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, plus 0.1 in 2024, plus 0.3 in 2025, plus 0.7 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 73% in 2024, 74% in 2025, 61% 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.
- Gardner-Webb, Stonehill, Sacramento State have no other game in the table, so those games have no expected number and sit out the second figure.
- Who played is read from the schools’ box scores’ participation lists for 21 of these 25 games; in the other 4 a player is counted as in them when the box score has a stat for him.