Putting Up Numbers· college football

San Jose State’s carries with Jabari Bates and without Jabari Bates

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Against what the season’s ratings expected, San Jose State was 2.7 carries under with Jabari Bates and 0.6 carries under without Jabari Bates over its last 25 games, 14 games against 9. The plain averages are 28.3 and 28.2, a difference of 0.0. Expected was 1.1 carries higher with Jabari Bates than without Jabari Bates. 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, 42% of San Jose State’s carries in those games.

carries a game over expected

A −2.1 difference in carries over expected with Jabari Bates vs without Jabari Bates is about what you’d expect.

A +0.0 difference in carries 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
SideDateGameResultcarriesExpected
Nov 16, 2024vsBoise StateL2123.5
Nov 22, 2024vsUNLVL2425.5
Nov 29, 2024vsStanfordW1925.5
Dec 24, 2024vsSouth Florida (neutral)L3529.5
Aug 29, 2025vsCentral MichiganL2430.3
Sep 6, 2025@TexasL2926.6
Sep 20, 2025vsIdahoW26—
Sep 27, 2025@StanfordL1329.0
Oct 3, 2025vsNew MexicoW3426.2
Oct 11, 2025@WyomingL2829.2
Oct 17, 2025@Utah StateL2730.0
Nov 1, 2025vsHawaiiW2627.8
Nov 8, 2025vsAir ForceL1725.6
Nov 15, 2025@NevadaL2529.2
Nov 22, 2025@San Diego StateL3629.2
Nov 29, 2025vsFresno StateL2628.5
Aug 29, 2026@USCL2433.2
Sep 4, 2026@Eastern MichiganW3430.6
Sep 12, 2026vsCCal PolyW44—
Sep 19, 2026vsFresno StateL3234.2
Oct 3, 2026@HawaiiW3432.7
Oct 9, 2026vsWyomingL2835.8
Oct 17, 2026@UTEPW3533.6
Oct 24, 2026@NevadaL3032.0
Oct 31, 2026vsNew MexicoL3530.9

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 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.
  • 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.