🐻⬇️🏀

Colgate Raiders

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Colgate Raiders
Program History
Coach: Matt Langel

Model Outputs

2015-2016
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 → 889 (#236) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 917 (#233) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More → 957 (#238) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -6.6 (#260) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -7.4 (#269) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.397 (#220) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.2 More → 0.236 (#269) AdjNet -10.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.3 More → 0.233 (#267) AdjNet -10.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.9 | AdjD 72.7 More → 0.371 (#256) AdjO 66.9 | AdjD 72.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.8 | AdjD 72.1 More → 0.426 (#231) AdjO 68.8 | AdjD 72.1
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 → 0.324 (#264) 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 → 0.334 (#264) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 154 | GP 29 More → 876 (#255) RD 154 | GP 29

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 @ George Mason Patriots W 66 - 53
2015-11-16 vs Cornell Big Red L 98 - 101
2015-11-19 @ UAlbany Great Danes L 67 - 88
2015-11-24 @ Fordham Rams L 58 - 84
2015-11-28 @ UMBC Retrievers W 71 - 63
2015-12-01 @ Binghamton Bearcats L 50 - 69
2015-12-05 @ TCU Horned Frogs L 49 - 76
2015-12-08 @ Syracuse Orange L 51 - 78
2015-12-10 vs Utica Pioneers W 90 - 68
2015-12-13 vs New Hampshire Wildcats W 75 - 59
2015-12-23 @ Georgia Tech Yellow Jackets L 60 - 76
2015-12-30 vs Lafayette Leopards W 77 - 70
2016-01-03 @ American University Eagles W 56 - 37
2016-01-06 @ Holy Cross Crusaders L 63 - 65
2016-01-09 vs Navy Midshipmen L 68 - 71
2016-01-13 vs Army Black Knights W 80 - 66
2016-01-16 @ Bucknell Bison W 84 - 73
2016-01-20 vs Boston University Terriers W 85 - 78
2016-01-24 vs Holy Cross Crusaders W 76 - 61
2016-01-24 @ Loyola Maryland Greyhounds - Postponed
2016-01-27 @ Lehigh Mountain Hawks L 70 - 79
2016-01-30 vs American University Eagles L 49 - 54
2016-02-01 @ Loyola Maryland Greyhounds L 65 - 68
2016-02-06 @ Navy Midshipmen W 58 - 55
2016-02-08 @ Army Black Knights L 72 - 82
2016-02-13 vs Bucknell Bison W 91 - 81
2016-02-17 @ Boston University Terriers L 68 - 71
2016-02-21 vs Loyola Maryland Greyhounds W 93 - 90
2016-02-24 vs Lehigh Mountain Hawks L 54 - 71
2016-02-27 @ Lafayette Leopards L 77 - 79
2016-03-03 @ Army Black Knights L 72 - 79

2016 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Jordan Swopshire Jordan Swopshire F 25 24.9 10.4 4.8 0.8 0.3 0.2 1.6 0.5 14.4 - - - - 58.3 60.0 76.5 - 664.8 70.8
Tom Rivard Tom Rivard F 25 23.9 10.1 4.4 1.1 0.6 0.4 1.6 0.7 14.2 - - - - 50.0 80.0 0 - 700.0 61.1
Sean O'Brien Sean O'Brien G 25 26.8 8.9 2.0 2.2 1.0 0.1 0.5 0.5 13.2 - - - - 25.0 12.5 100.0 - 861.8 29.2
Alex Ramon Alex Ramon G 25 23.4 7.2 3.0 1.5 0.6 0.2 1.6 0.4 10.6 - - - - 44.4 0.0 100.0 - 916.0 44.4
Malcolm Regisford Malcolm Regisford F 17 20.6 6.0 6.0 0.5 0.1 0.5 1.1 0.2 11.7 - - - - 50.0 0 50.0 - 1045.1 50.0
Jordan Robertson Jordan Robertson G 23 17.0 5.9 2.0 0.3 0.2 0.1 0.7 0.3 7.5 - - - - 12.5 0.0 0 - 843.8 12.5
Dave Krmpotich Dave Krmpotich F 23 14.2 4.6 2.1 0.3 0.3 0.4 1.1 0.4 6.2 - - - - 77.8 0 60.0 - 473.2 77.8
David Favorite David Favorite G 11 8.7 2.7 0.5 0.2 0.1 0.0 0.1 0.2 3.2 - - - - 50.0 50.0 0 - 750.0 75.0
Andrew Bargmann Andrew Bargmann G 3 6.3 2.3 0.7 0.3 0.0 0.0 0.0 0.0 3.3 - - - - 0 0 0 - 0 0
Dana Batt Dana Batt C 22 13.5 2.0 2.5 0.2 0.3 0.4 0.5 0.1 4.8 - - - - 33.3 0 0 - 750.0 33.3
Francisco Amiel Francisco Amiel G 25 10.0 1.1 0.8 0.8 0.7 0.2 0.5 0.1 3.0 - - - - 0.0 0.0 0 - 450.0 0.0
Nathan Harries Nathan Harries G 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Sam Lindgren Sam Lindgren F 3 3.3 0.0 1.0 0.3 0.0 0.0 0.3 0.0 1.0 - - - - 0 0 0 - 0 0
Ryan Diew Ryan Diew G 1 1.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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