Putting Up Numbers· college football

James Madison’s third-down conversion rate with George Pettaway and without George Pettaway

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Against what the season’s ratings expected, James Madison was 1.6 percentage points over with George Pettaway and 3.3 percentage points under without George Pettaway over its last 25 games, 20 games against 3. The plain averages are 43.3% and 43.0%, a difference of 0.3%. Expected was 6.0 percentage points lower with George Pettaway than without George Pettaway. Both opponents outside the major colleges were with George Pettaway. All 5 games while ranked were with George Pettaway. All 10 nonconference games were with George Pettaway.

George Pettaway, running back: 1,160 rushing yards, 185 carries and 18 receptions in 21 of those 25 games.

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

third-down conversion rate a game over expected

A +4.8% difference in third-down conversion rate over expected with George Pettaway vs without George Pettaway is about what you’d expect.

A +0.3% difference in third-down conversion rate with George Pettaway vs without George Pettaway is about what you’d expect.

The games

with George Pettawaywithout George Pettaway
James Madison’s games, last 25 games, each marked with George Pettaway or without George Pettaway
SideDateGameResult3rd downsExpected
Nov 30, 2024vsMarshallL30.8%36.7%
Dec 18, 2024vsWestern Kentucky (neutral)W43.8%42.5%
Aug 30, 2025vsWWeber StateW53.8%—
Sep 5, 2025@LouisvilleL41.2%36.4%
Sep 20, 2025@LibertyW60.0%46.1%
Sep 27, 2025vsGeorgia SouthernW61.5%48.8%
Oct 4, 2025@Georgia StateW28.6%49.5%
Oct 11, 2025vsLouisianaW47.1%46.2%
Oct 18, 2025vsOld DominionW75.0%35.6%
Oct 28, 2025@Texas StateW54.5%43.9%
Nov 8, 2025@MarshallW41.7%43.7%
Nov 15, 2025vsAppalachian StateW57.1%46.2%
Nov 22, 2025vsWashington StateW36.4%40.0%
Nov 29, 2025@Coastal CarolinaW45.5%42.7%
Dec 5, 2025vsTroyW14.3%46.4%
Dec 20, 2025@OregonL40.9%36.5%
Sep 5, 2026vsLibertyW40.0%34.5%
Sep 12, 2026vsWWagnerW62.5%—
Sep 19, 2026@San Diego StateW30.8%44.3%
Sep 26, 2026@Old DominionW33.3%36.1%
Oct 3, 2026vsMarshallW50.0%38.3%
Oct 10, 2026@Georgia SouthernW31.3%36.0%
Oct 17, 2026vsGeorgia StateW50.0%33.1%
Oct 22, 2026@Appalachian StateL13.3%40.6%
Oct 29, 2026vsTroyL38.9%40.5%

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 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.
  • Weber State, Wagner 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 23 of these 25 games; in the other 2 a player is counted as in them when the box score has a stat for him.