Putting Up Numbers· college football

Kansas State’s points with Garrett Oakley and without Garrett Oakley

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Against what the season’s ratings expected, Kansas State was 0.3 points over with Garrett Oakley and 0.1 points under without Garrett Oakley over its last 25 games, 19 games against 4. The plain averages are 30.0 and 29.3, a difference of 0.7. Expected was 2.3 points lower with Garrett Oakley than without Garrett Oakley. Both neutral-site games were with Garrett Oakley. All 5 ranked opponents were with Garrett Oakley. Both opponents outside the major colleges were with Garrett Oakley.

Garrett Oakley, tight end: 756 receiving yards and 69 receptions in 20 of those 25 games.

points a game over expected

A +0.4 difference in points over expected with Garrett Oakley vs without Garrett Oakley is about what you’d expect.

A +0.7 difference in points with Garrett Oakley vs without Garrett Oakley is about what you’d expect.

The games

with Garrett Oakleywithout Garrett Oakley
Kansas State’s games, last 25 games, each marked with Garrett Oakley or without Garrett Oakley
SideDateGameResultpointsExpected
Nov 2, 2024@HoustonL1926.8
Nov 16, 2024vsArizona StateL1429.3
Nov 23, 2024vsCincinnatiW4126.6
Nov 30, 2024@Iowa StateL2126.6
Dec 26, 2024vsRutgers (neutral)W4429.8
Aug 23, 2025vsIowa State (neutral)L2126.6
Aug 30, 2025vsNNorth DakotaW38—
Sep 6, 2025vsArmyL2129.0
Sep 12, 2025@ArizonaL1724.4
Sep 27, 2025vsUCFW3429.3
Oct 4, 2025@BaylorL3434.6
Oct 11, 2025vsTCUW4127.2
Oct 25, 2025@KansasW4228.0
Nov 1, 2025vsTexas TechL2018.9
Nov 15, 2025@Oklahoma StateW1437.3
Nov 22, 2025@UtahL4718.7
Nov 29, 2025vsColoradoW2435.4
Sep 5, 2026vsNNichollsW71—
Sep 12, 2026vsWashington StateW3428.7
Sep 19, 2026vsTulaneW3126.4
Sep 26, 2026@CincinnatiL2627.8
Oct 10, 2026vsHoustonL1622.2
Oct 17, 2026vsKansasW3524.8
Oct 24, 2026@Arizona StateL1730.7
Oct 31, 2026@ColoradoL2422.7

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 1.5 in 2024, plus 1.5 in 2025, plus 1.9 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, 78% in 2025, 66% 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.
  • North Dakota, Nicholls 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 20 of these 25 games; in the other 5 a player is counted as in them when the box score has a stat for him.