Putting Up Numbers· college football

Hawaii’s total yards with Cam Barfield and without Cam Barfield

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Against what the season’s ratings expected, Hawaii was 8.9 yards over with Cam Barfield and 19.7 yards under without Cam Barfield over its last 25 games, 22 games against 2. The plain averages are 390.9 and 357.0, a difference of 33.9. All 11 away games were with Cam Barfield. All 7 night games were with Cam Barfield. All 5 games after a bye were with Cam Barfield.

Cam Barfield, running back: 583 rushing yards, 136 carries and 41 receptions in 23 of those 25 games.

2 games without Cam Barfield is still too small a sample for the statistics to say much, but maybe you can find something if you squint.

total yards a game over expected

A +28.6 difference in total yards over expected with Cam Barfield vs without Cam Barfield is about what you’d expect.

A +33.9 difference in total yards with Cam Barfield vs without Cam Barfield is about what you’d expect.

The games

with Cam Barfieldwithout Cam Barfield
Hawaii’s games, last 25 games, each marked with Cam Barfield or without Cam Barfield
SideDateGameResulttotal yardsExpected
Nov 2, 2024@Fresno StateW346317.6
Nov 9, 2024vsUNLVL375305.7
Nov 16, 2024@Utah StateL309442.1
Nov 30, 2024vsNew MexicoW590428.5
Aug 23, 2025vsStanfordW306393.6
Aug 30, 2025@ArizonaL293298.3
Sep 6, 2025vsSam HoustonW417499.1
Sep 13, 2025vsPPortland StateW357—
Sep 20, 2025vsFresno StateL314337.3
Sep 27, 2025@Air ForceW543410.9
Oct 11, 2025vsUtah StateW549429.2
Oct 18, 2025@Colorado StateW437431.0
Nov 1, 2025@San Jose StateL496405.2
Nov 8, 2025vsSan Diego StateW395339.0
Nov 21, 2025@UNLVL231446.6
Nov 29, 2025vsWyomingW421369.4
Dec 24, 2025vsCaliforniaW395379.1
Aug 29, 2026@StanfordL325402.4
Sep 5, 2026vsUNLVL294400.2
Sep 12, 2026vsNew Mexico StateW420353.2
Sep 26, 2026@WyomingL328377.3
Oct 3, 2026vsSan Jose StateL438390.4
Oct 10, 2026@Arizona StateL317314.3
Oct 17, 2026vsNew MexicoL300333.2
Oct 24, 2026@Northern IllinoisW509388.5

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 6.1 in 2024, plus 7.7 in 2025, plus 12.1 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 79% in 2024, 79% in 2025, 67% 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.
  • Portland State has no other game in the table, so that game has no expected number and sits 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.