Putting Up Numbers· women's college basketball

Saint Louis’ points at home and away

, ,

Against what the season’s ratings expected, Saint Louis was 5.1 points under at home and 5.8 points over away in 2025-26, 15 games against 13. The plain averages are 62.8 and 66.1, a difference of 3.3.

Saint Louis’ −10.9 at home vs away over expected ranks 362nd of the 363 teams with 6 games on each side in 2025-26.

points a game over expected

A −10.9 difference in points over expected at home vs away is rare: shuffle which games were at home and it comes up less than once in 100.

A −3.3 difference in points at home vs away is about what you’d expect.

The games

at homeaway
Saint Louis’ games, 2025-26, each marked at home or away
SideDateGameResultpointsExpected
Nov 3, 2025@Missouri StateL6657.9
Nov 6, 2025vsMiddle TennesseeL5561.0
Nov 9, 2025vsNorthern IowaW6260.0
Nov 12, 2025vsSouthern IndianaL5263.0
Nov 15, 2025@Murray StateL8868.3
Nov 21, 2025@Illinois StateL7561.4
Nov 25, 2025vsSMU (neutral)W7066.0
Nov 26, 2025vsStetson (neutral)L6766.8
Dec 3, 2025vsSt. BonaventureW7663.7
Dec 7, 2025vsEvansvilleW7272.9
Dec 14, 2025vsMissouriL6665.8
Dec 17, 2025vsJacksonville StateW7462.5
Dec 20, 2025@OhioW8067.2
Dec 28, 2025vsHHealth Sciences & PharmacyW132—
Dec 31, 2025@DuquesneW7262.6
Jan 3, 2026vsDavidsonL5556.6
Jan 7, 2026vsVCUL3966.0
Jan 11, 2026@Loyola ChicagoL6457.7
Jan 14, 2026@La SalleW6661.4
Jan 18, 2026vsDaytonW6267.5
Jan 21, 2026@FordhamW6763.6
Jan 24, 2026vsLoyola ChicagoL5960.7
Jan 28, 2026@George WashingtonL6257.6
Jan 31, 2026@George MasonL5155.4
Feb 4, 2026vsRichmondL4458.0
Feb 8, 2026@Rhode IslandL4352.2
Feb 11, 2026vsFordhamL3968.2
Feb 14, 2026@DaytonL6364.7
Feb 21, 2026vsSaint Joseph'sL5458.3
Feb 25, 2026vsDuquesneL6465.8
Feb 28, 2026@DavidsonL6253.5
Mar 4, 2026vsFordham (neutral)W6864.9
Mar 5, 2026vsLa Salle (neutral)L5163.7

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, plus 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.
  • Health Sciences & Pharmacy has no other game in the table, so that game has no expected number and sits out the second figure.