Putting Up Numbers· college football

San Jose State’s rushing yards with Jabari Bates and without Jabari Bates

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Against what the season’s ratings expected, San Jose State was 30.5 yards under with Jabari Bates and 10.7 yards over without Jabari Bates over its last 25 games, 14 games against 9. The plain averages are 97.6 and 140.6, a difference of 43.0. All 4 ranked opponents were with Jabari Bates. Both opponents outside the major colleges were with Jabari Bates. All 10 nonconference games were with Jabari Bates.

Jabari Bates, running back: 841 rushing yards, 189 carries and 10 receptions in 16 of those 25 games, 54% of San Jose State’s rushing yards in those games.

rushing yards a game over expected

A −41.2 difference in rushing yards over expected with Jabari Bates vs without Jabari Bates is a bit unusual: shuffle which games were with Jabari Bates and it comes up 12 times in 100.

A −43.0 difference in rushing yards with Jabari Bates vs without Jabari Bates is about what you’d expect.

The games

with Jabari Bateswithout Jabari Bates
San Jose State’s games, last 25 games, each marked with Jabari Bates or without Jabari Bates
SideDateGameResultrushing yardsExpected
Nov 16, 2024vsBoise StateL3876.8
Nov 22, 2024vsUNLVL3381.9
Nov 29, 2024vsStanfordW6197.0
Dec 24, 2024vsSouth Florida (neutral)L162106.5
Aug 29, 2025vsCentral MichiganL75155.2
Sep 6, 2025@TexasL8961.4
Sep 20, 2025vsIdahoW198—
Sep 27, 2025@StanfordL52100.8
Oct 3, 2025vsNew MexicoW15786.1
Oct 11, 2025@WyomingL43155.4
Oct 17, 2025@Utah StateL194138.3
Nov 1, 2025vsHawaiiW175121.7
Nov 8, 2025vsAir ForceL94147.7
Nov 15, 2025@NevadaL123125.8
Nov 22, 2025@San Diego StateL133121.0
Nov 29, 2025vsFresno StateL113140.4
Aug 29, 2026@USCL10299.8
Sep 4, 2026@Eastern MichiganW139110.7
Sep 12, 2026vsCCal PolyW255—
Sep 19, 2026vsFresno StateL91135.4
Oct 3, 2026@HawaiiW78144.8
Oct 9, 2026vsWyomingL75154.2
Oct 17, 2026@UTEPW233132.3
Oct 24, 2026@NevadaL65101.5
Oct 31, 2026vsNew MexicoL48109.0

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 3.8 in 2024, 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 75% in 2024, 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.
  • Idaho, Cal Poly 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 15 of these 25 games; in the other 10 a player is counted as in them when the box score has a stat for him.