🐻⬇️🏀

St. Lawrence

Also known as: St. Lawrence
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 → 998 (#386) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1023 (#343) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1020 (#291) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -6.7 (#209) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +2.6 (#308) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.634 (#376) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.1 More → 0.439 (#382) AdjNet -2.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.4 More → 0.429 (#384) AdjNet -2.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.6 | AdjD 66.5 More → 0.456 (#386) AdjO 64.6 | AdjD 66.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.1 | AdjD 60.7 More → 0.641 (#163) AdjO 67.1 | AdjD 60.7
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 → 0.596 (#315) 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 → 0.611 (#306) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 146 | GP 6 More → 1014 (#347) RD 146 | GP 6

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-01-23 vs RIT W 75 - 60
2026-01-24 vs Ithaca L 52 - 55
2026-01-30 vs Vassar W 57 - 56
2026-01-31 vs Bard W 82 - 30
2026-02-06 @ Ithaca L 72 - 75
2026-02-07 @ RIT W 82 - 64

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%
Adam Dudzinski - 6 32.9 16.3 7.5 1.2 2.0 1.0 1.7 11.7 14.7 2 0.1 0.4 42.9 40.6 69.4 2.57 57.1 52.1
Tate Kuiper - 6 28.0 12.3 2.2 2.3 3.0 0.0 1.0 7.7 11.2 - - - 50.0 40.9 90.5 - 67.0 59.8
Lenny Buddington - 6 26.5 7.8 5.3 3.2 2.0 0.3 0.8 5.5 12.3 - - - 36.4 33.3 84.0 - 53.4 39.4
Colton Suriano - 6 28.1 7.8 3.0 0.7 1.7 0.7 0.5 7.5 5.8 13 0.6 3.6 37.8 35.1 0.0 0.61 51.2 52.2
Caden Mirliani - 6 22.8 7.3 3.7 0.8 0.5 0.3 0.5 7.0 5.2 -3 -0.8 -7.1 40.5 27.8 38.5 -0.18 46.1 46.4
Brayden Shepardson - 6 15.6 6.7 1.0 0.3 1.0 0.0 0.8 6.0 2.2 0 0.0 0.0 33.3 21.1 92.3 0.08 47.9 38.9
Dan Anderson - 6 26.3 5.7 2.2 2.0 1.0 0.0 1.8 6.2 2.8 45 2.1 11.4 35.1 33.3 75.0 5.42 43.9 41.9
Charlie VonOehsen - 5 6.0 1.8 1.0 0.4 0.4 0.0 0.2 1.6 1.8 31 2.6 51.8 37.5 60.0 0 0.48 56.2 56.2
Alexi Twahili - 5 7.4 1.6 1.8 0.2 0.0 0.2 0.4 1.2 2.2 - - - 33.3 0.0 100.0 - 51.5 33.3
Troy McPherson - 4 5.1 1.5 0.8 0.2 0.8 0.0 0.2 1.0 2.0 - - - 50.0 50.0 0 - 75.0 75.0

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