🐻⬇️🏀

American Int'l

Also known as: American Int'l
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1059 (#120) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1089 (#109) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1097 (#74) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +4.9 (#119) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +6.3 (#260) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.632 (#312) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +10.9 More → 0.808 (#180) NetEff +10.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.1 More → 0.531 (#393) AdjNet +1.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.5 More → 0.543 (#394) AdjNet +1.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.0 | AdjD 66.2 More → 0.541 (#366) AdjO 68.0 | AdjD 66.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.7 | AdjD 63.5 More → 0.639 (#132) AdjO 69.7 | AdjD 63.5
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.711 (#166) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.704 (#168) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 21 More → 1151 (#74) RD 104 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 @ St. Thomas Aquinas W 73 - 58
2025-11-16 vs D'Youville W 72 - 46
2025-11-19 @ Southern Conn. St. W 69 - 68
2025-11-22 @ Felician W 65 - 41
2025-11-25 @ Assumption W 71 - 52
2025-11-30 @ Post L 79 - 81
2025-12-03 @ Adelphi L 54 - 56
2025-12-06 vs Pace W 88 - 67
2025-12-17 @ Staten Island L 63 - 65
2025-12-19 vs Dominican (NY) W 68 - 56
2025-12-20 vs Queens (NY) W 80 - 51
2026-01-10 vs Assumption W 68 - 53
2026-01-14 @ Bentley L 61 - 76
2026-01-17 vs Southern Conn. St. L 39 - 70
2026-01-21 vs Saint Michael's W 81 - 66
2026-01-24 @ Saint Anselm W 67 - 52
2026-01-28 @ Pace W 67 - 50
2026-01-31 vs Southern N.H. W 92 - 85
2026-02-04 @ Franklin Pierce W 77 - 58

2026 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Chelsea Reeves - 19 29.0 16.4 5.2 3.5 2.1 0.3 3.1 8.8 15.6 129 5.6 36.1 52.4 46.3 79.3 2.69 67.9 59.8
Keyvanna Bennett - 19 28.8 13.9 8.0 1.2 1.7 0.4 2.6 13.4 9.3 142 6.2 35.6 42.0 28.6 71.0 4.8 46.4 42.4
Ruzgar Christina Boyle - 19 26.9 12.3 2.3 1.3 1.3 0.2 1.0 12.6 3.7 66 2.8 20.7 37.5 31.4 64.3 -1.91 47.3 46.7
Tia-Marie Martinez - 19 26.6 8.4 2.8 2.6 1.3 0.0 1.7 6.6 6.8 113 5.1 30.7 41.6 44.1 100.0 3.65 60.8 58.0
Eden Monka - 19 25.0 5.4 5.7 1.3 0.6 0.5 1.3 5.5 6.6 61 2.8 19.1 34.3 35.7 68.4 0.69 42.3 36.7
Sarai Gurley - 19 15.7 4.2 1.8 0.7 1.3 0.3 1.0 4.0 3.4 10 0.4 4.7 38.2 35.3 45.5 -3.21 46.7 46.1
Peyton Grant - 18 11.9 3.7 0.8 0.7 0.7 0.0 0.3 3.4 2.2 55 2.5 37.8 38.7 34.7 50.0 0.41 52.5 52.4
Ahliya Phillips - 19 15.5 2.0 1.8 1.1 0.6 0.1 1.1 2.5 1.9 58 2.4 22.8 25.0 15.4 63.2 -1.21 33.7 27.1
Jemima Lacroix - 13 8.4 1.9 2.6 0.4 0.6 0.4 0.4 2.0 3.5 -4 -0.3 -5.3 23.1 0 86.7 1.47 38.3 23.1
Masha Andrushchenko - 11 5.4 1.5 0.4 0.5 0.0 0.2 0.6 1.5 0.5 35 2.7 148.1 35.3 35.7 0 0.6 50.0 50.0
Jada Bryant - 17 6.0 1.1 1.2 0.1 0.2 0.3 0.2 0.7 2.0 16 0.8 51.8 50.0 0 66.7 -2.32 56.4 50.0
Alicia Aznar Chamorro - 16 8.3 1.0 1.3 0.2 0.4 0.0 0.4 1.3 1.2 -9 -0.5 -6.2 28.6 20.0 75.0 0.44 35.1 31.0
Eunice M'Bikata - 9 2.3 0.0 0.4 0.1 0.0 0.0 0.2 0.0 0.3 -24 -2.7 -73.6 0 0 0 -3.59 0 0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG