Putting Up Numbers· college football

Kansas’ points with Mason Ellis and without Mason Ellis

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Against what the season’s ratings expected, Kansas was 0.6 points over with Mason Ellis and 0.4 points over without Mason Ellis over its last 25 games, 12 games against 11. The plain averages are 31.2 and 25.1, a difference of 6.1. Both top-10 opponents were without Mason Ellis. Both opponents outside the major colleges were with Mason Ellis. All 6 nonconference games were with Mason Ellis.

Mason Ellis, defender: 10 of those 25 games.

points a game over expected

A +0.2 difference in points over expected with Mason Ellis vs without Mason Ellis is about what you’d expect.

A +6.1 difference in points with Mason Ellis vs without Mason Ellis is a bit unusual: shuffle which games were with Mason Ellis and it comes up 8 times in 100.

The games

with Mason Elliswithout Mason Ellis
Kansas’ games, last 25 games, each marked with Mason Ellis or without Mason Ellis
SideDateGameResultpointsExpected
Oct 26, 2024@Kansas StateL2726.4
Nov 9, 2024vsIowa State (neutral)W4524.3
Nov 16, 2024@BYUW1724.5
Nov 23, 2024vsColorado (neutral)W3725.3
Nov 30, 2024@BaylorL1731.9
Aug 23, 2025vsFresno StateW3128.8
Aug 29, 2025vsWWagnerW46—
Sep 6, 2025@MissouriL3119.7
Sep 20, 2025vsWest VirginiaW4132.0
Sep 27, 2025vsCincinnatiL3430.3
Oct 4, 2025@UCFW2726.3
Oct 11, 2025@Texas TechL1715.3
Oct 25, 2025vsKansas StateL1730.6
Nov 1, 2025vsOklahoma StateW3834.8
Nov 8, 2025@ArizonaL2022.6
Nov 22, 2025@Iowa StateL1425.0
Nov 28, 2025vsUtahL2124.7
Sep 4, 2026vsLLong Island UniversityW51—
Sep 11, 2026vsMissouriL2121.0
Sep 19, 2026vsArizona State (neutral)L1735.8
Oct 3, 2026vsMiddle TennesseeW5534.1
Oct 10, 2026@UtahL2420.3
Oct 17, 2026@Kansas StateL2428.9
Oct 24, 2026vsBaylorW2524.5
Oct 31, 2026@TCUL1617.8

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.
  • Wagner, Long Island University 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.