Putting Up Numbers· college football

Tulsa’s rushing yards with Baylor Hayes and without Baylor Hayes

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Against what the season’s ratings expected, Tulsa was 15.2 yards over with Baylor Hayes and 75.4 yards under without Baylor Hayes over its last 25 games, 15 games against 3. The plain averages are 170.9 and 167.0, a difference of 3.9. Expected was 12.1 yards lower with Baylor Hayes than without Baylor Hayes. Both opponents outside the major colleges were without Baylor Hayes. Both games after a bye were with Baylor Hayes.

Baylor Hayes, quarterback: 3,501 passing yards, 508 pass attempts and 307 completions in 16 of those 25 games, 10% of Tulsa’s rushing yards in those games.

rushing yards a game over expected

A +90.6 difference in rushing yards over expected with Baylor Hayes vs without Baylor Hayes is unusual: shuffle which games were with Baylor Hayes and it comes up 3 times in 100.

A +3.9 difference in rushing yards with Baylor Hayes vs without Baylor Hayes is about what you’d expect.

The games

with Baylor Hayeswithout Baylor Hayes
Tulsa’s games, last 25 games, each marked with Baylor Hayes or without Baylor Hayes
SideDateGameResultrushing yardsExpected
Oct 26, 2024vsUTSAW67100.5
Nov 2, 2024@UABL187150.2
Nov 14, 2024vsEast CarolinaL106143.0
Nov 23, 2024@South FloridaL223120.3
Nov 30, 2024vsFlorida AtlanticL64181.8
Aug 30, 2025vsAAbilene ChristianW268—
Sep 6, 2025@New Mexico StateL141204.9
Sep 13, 2025vsNavyL140142.7
Sep 19, 2025@Oklahoma StateW205150.5
Sep 27, 2025vsTulaneL93143.7
Oct 4, 2025@MemphisL71152.0
Oct 16, 2025@East CarolinaL147143.8
Oct 25, 2025vsTempleL141214.5
Nov 8, 2025@Florida AtlanticL196203.1
Nov 15, 2025vsOregon StateW296166.3
Nov 22, 2025@ArmyW230119.0
Nov 29, 2025vsUABL198181.9
Sep 5, 2026vsOklahoma StateW136138.5
Sep 12, 2026@Sam HoustonW244147.2
Sep 19, 2026vsEEast Texas A&MW290—
Sep 26, 2026@ArkansasL65146.5
Oct 1, 2026vsNorth TexasL141153.8
Oct 10, 2026@NavyL98104.8
Oct 17, 2026@RiceW150156.7
Oct 23, 2026vsArmyL148168.5

Method

Read against .

  • 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 5.9 in 2025, plus 8.0 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 77% in 2025, 60% 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.
  • Abilene Christian, East Texas A&M 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, which name every player who entered the game.
  • With him means he was the team’s quarterback that game, at least half of its pass attempts; a game he left early or came into late reads as without him.
  • 5 games in 2024 are neither with Baylor Hayes nor without Baylor Hayes: Baylor Hayes had no game for the team that season, and sit out.