Putting Up Numbers· college football

San Jose State’s third-down conversion rate with Jabari Bates and without Jabari Bates

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Against what the season’s ratings expected, San Jose State was 2.8 percentage points under with Jabari Bates and 3.1 percentage points over without Jabari Bates over its last 25 games, 14 games against 9. The plain averages are 36.7% and 43.2%, a difference of 6.5%. 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.

third-down conversion rate a game over expected

A −5.9% difference in third-down conversion rate over expected with Jabari Bates vs without Jabari Bates is about what you’d expect.

A −6.5% difference in third-down conversion rate 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
SideDateGameResult3rd downsExpected
Nov 16, 2024vsBoise StateL53.8%37.3%
Nov 22, 2024vsUNLVL25.0%37.0%
Nov 29, 2024vsStanfordW54.5%42.0%
Dec 24, 2024vsSouth Florida (neutral)L31.6%40.1%
Aug 29, 2025vsCentral MichiganL50.0%47.1%
Sep 6, 2025@TexasL26.7%35.4%
Sep 20, 2025vsIdahoW70.0%—
Sep 27, 2025@StanfordL33.3%38.5%
Oct 3, 2025vsNew MexicoW66.7%37.0%
Oct 11, 2025@WyomingL31.6%38.4%
Oct 17, 2025@Utah StateL52.9%37.7%
Nov 1, 2025vsHawaiiW50.0%40.4%
Nov 8, 2025vsAir ForceL45.5%47.7%
Nov 15, 2025@NevadaL30.8%42.3%
Nov 22, 2025@San Diego StateL40.0%36.1%
Nov 29, 2025vsFresno StateL25.0%41.8%
Aug 29, 2026@USCL45.5%32.9%
Sep 4, 2026@Eastern MichiganW31.3%40.8%
Sep 12, 2026vsCCal PolyW25.0%—
Sep 19, 2026vsFresno StateL35.3%36.2%
Oct 3, 2026@HawaiiW26.7%37.4%
Oct 9, 2026vsWyomingL33.3%37.7%
Oct 17, 2026@UTEPW46.2%39.5%
Oct 24, 2026@NevadaL7.1%33.3%
Oct 31, 2026vsNew MexicoL38.5%36.1%

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 0.6% in 2024, plus 0.7% in 2025, plus 1.4% 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 50% in 2024, 56% in 2025, 40% 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.