Putting Up Numbers· men's college basketball

Belmont’s rebounds at home and away

, ,

Against what the season’s ratings expected, Belmont was 3.3 rebounds under at home and 4.1 rebounds over away in 2025-26, 14 games against 14. The plain averages are 30.7 and 35.1, a difference of 4.3.

Belmont’s −7.4 at home vs away over expected ranks 364th of the 365 teams with 6 games on each side in 2025-26.

rebounds a game over expected

A −7.4 difference in rebounds over expected at home vs away is rare: shuffle which games were at home and it comes up less than once in 100.

A −4.3 difference in rebounds at home vs away is a bit unusual: shuffle which games were at home and it comes up 6 times in 100.

The games

at homeaway
Belmont’s games, 2025-26, each marked at home or away
SideDateGameResultreboundsExpected
Nov 3, 2025vsAir ForceW2132.2
Nov 8, 2025vsTennessee StateW3730.9
Nov 15, 2025@Oral RobertsW4231.1
Nov 19, 2025vsLipscombW4134.5
Nov 21, 2025vsFFiskW57—
Nov 24, 2025vsSaint Francis (neutral)W3033.2
Nov 26, 2025vsToledo (neutral)W3432.0
Nov 30, 2025@CharlestonW3831.4
Dec 3, 2025vsRichmondL3132.4
Dec 7, 2025@Middle TennesseeW3929.1
Dec 13, 2025vsUICW2730.6
Dec 16, 2025@EvansvilleW3331.4
Dec 19, 2025@UC IrvineW4131.8
Dec 29, 2025@Indiana StateL3332.4
Jan 1, 2026vsBradleyW3233.2
Jan 4, 2026vsSouthern IllinoisL2931.4
Jan 7, 2026@Northern IowaW3129.4
Jan 10, 2026@DrakeW3932.9
Jan 13, 2026vsValparaisoW2432.0
Jan 17, 2026@Southern IllinoisW3730.3
Jan 24, 2026vsIllinois StateW2330.5
Jan 28, 2026@ValparaisoW2731.1
Jan 31, 2026vsMurray StateW2832.1
Feb 3, 2026vsDrakeW2434.5
Feb 6, 2026@UICW2729.9
Feb 9, 2026@BradleyL4531.7
Feb 12, 2026vsNorthern IowaW2430.5
Feb 15, 2026@Murray StateW3431.1
Feb 21, 2026vsIndiana StateW3133.2
Feb 25, 2026vsEvansvilleW3232.1
Mar 1, 2026@Illinois StateL2529.7
Mar 6, 2026vsDrake (neutral)L2534.0

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 0.4 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 87% 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.
  • Fisk has no other game in the table, so that game has no expected number and sits out the second figure.