Putting Up Numbers· women's college basketball

Lafayette’s points allowed at home and away

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Against what the season’s ratings expected, Lafayette was 5.9 points over at home and 4.2 points under away in 2025-26, 12 games against 18. The plain averages are 65.8 and 61.0, a difference of 4.8. Expected was 5.4 points lower at home than away.

Lafayette’s +10.2 at home vs away over expected ranks 3rd of the 363 teams with 6 games on each side in 2025-26 through Mar 9.

points allowed a game over expected

A +10.2 difference in points allowed over expected at home vs away is rare: shuffle which games were at home and it comes up once in 100.

A +4.8 difference in points allowed at home vs away is a bit unusual: shuffle which games were at home and it comes up 17 times in 100.

The games

at homeaway
Lafayette’s games, 2025-26, each marked at home or away
SideDateGameResultpoints allowedExpected
Nov 3, 2025@VillanovaL7082.2
Nov 6, 2025@RiderL6554.8
Nov 9, 2025vsLe MoyneL8253.6
Nov 13, 2025vsSaint Peter'sW5851.0
Nov 16, 2025@Saint FrancisW5558.1
Nov 20, 2025@WagnerW5355.2
Nov 25, 2025@PittsburghW5968.0
Nov 30, 2025@NJITL7171.3
Dec 4, 2025@Fairleigh DickinsonL6966.0
Dec 7, 2025vsMaristL7959.2
Dec 20, 2025@RutgersL5469.4
Dec 31, 2025@ColgateL6358.3
Jan 3, 2026vsLoyola MarylandW5257.6
Jan 7, 2026@Boston UniversityW6462.6
Jan 10, 2026vsNavyL9769.0
Jan 14, 2026@BucknellW4956.6
Jan 17, 2026@Holy CrossL7066.5
Jan 21, 2026vsBoston UniversityL6659.7
Jan 24, 2026@LehighL6272.2
Jan 28, 2026vsBucknellW5653.4
Jan 31, 2026vsAmerican UniversityL7057.7
Feb 4, 2026@NavyL6274.1
Feb 7, 2026vsArmyL6265.8
Feb 11, 2026@Loyola MarylandL6559.4
Feb 14, 2026vsLehighW5969.7
Feb 18, 2026vsHoly CrossL5364.8
Feb 21, 2026@American UniversityW4162.3
Feb 28, 2026@ArmyL6168.6
Mar 4, 2026vsColgateW5556.1
Mar 9, 2026@ArmyL6568.3

Method

Read against .

  • Expected is an offense and a defense a team, fit over every 2025-26 game between two teams in the table with the game being read left out, minus 1.3 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 94% 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.