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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

2017 Team Stats (3 games)

60.3
PPG
75.7
Opp
-15.3
Margin
34.5%
FG%
25.0%
3P%
67.7%
FT%
36.3
RPG
12.3
APG
16.3
TO
-
Est. poss./game
65.0
Adj PPG
71.3
Adj Opp PPG
#267
Scoring Rank

Model Outputs

2016-2017
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 → 836 (#266) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 822 (#305) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More → 937 (#266) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → -6.8 (#268) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More → -4.5 (#234) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.307 (#270) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.4 More → 0.233 (#276) AdjNet -10.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.4 More → 0.231 (#275) AdjNet -10.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.0 | AdjD 71.3 More → 0.361 (#267) AdjO 65.0 | AdjD 71.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.4 | AdjD 69.2 More → 0.435 (#236) AdjO 66.4 | AdjD 69.2
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 → 0.326 (#262) 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 → 0.340 (#256) 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 31 More → 839 (#283) RD 154 | GP 31

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 @ Syracuse Orange L 55 - 83
2016-11-16 @ Cornell Big Red W 67 - 63
2016-11-19 @ NJIT Highlanders L 68 - 74
2016-11-23 @ Penn State Nittany Lions L 59 - 72
2016-11-26 @ Columbia Lions L 78 - 81
2016-11-29 vs Union Garnet Chargers W 91 - 68
2016-12-02 @ The Citadel Bulldogs L 101 - 108
2016-12-03 vs Campbell Fighting Camels L 71 - 73
2016-12-04 @ South Carolina Upstate Spartans L 65 - 71
2016-12-07 vs Binghamton Bearcats L 64 - 73
2016-12-10 vs UAlbany Great Danes L 66 - 74
2016-12-19 @ Notre Dame Fighting Irish L 62 - 77
2016-12-22 @ Duquesne Dukes L 57 - 70
2016-12-30 @ Lafayette Leopards W 85 - 75
2017-01-02 vs American University Eagles L 64 - 67
2017-01-05 vs Holy Cross Crusaders L 61 - 67
2017-01-08 @ Navy Midshipmen L 55 - 67
2017-01-11 @ Army Black Knights W 79 - 76
2017-01-14 vs Bucknell Bison L 69 - 83
2017-01-18 @ Boston University Terriers W 67 - 58
2017-01-21 vs Loyola Maryland Greyhounds W 52 - 49
2017-01-25 vs Lehigh Mountain Hawks L 62 - 76
2017-01-29 @ American University Eagles W 70 - 65
2017-02-01 @ Holy Cross Crusaders L 50 - 56
2017-02-04 vs Navy Midshipmen W 55 - 52
2017-02-08 vs Army Black Knights W 70 - 58
2017-02-13 @ Bucknell Bison L 58 - 75
2017-02-15 vs Boston University Terriers L 68 - 69
2017-02-19 @ Loyola Maryland Greyhounds W 66 - 56
2017-02-22 @ Lehigh Mountain Hawks L 69 - 87
2017-02-25 vs Lafayette Leopards L 69 - 73
2017-03-02 @ Lehigh Mountain Hawks L 72 - 77

2017 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%
Will Rayman Will Rayman F 20 28.9 13.8 4.3 0.8 0.7 0.6 2.2 3.4 14.5 -57 26 -2.2 -3.1 42.6 40.0 65.7 -0.49 164.9 52.9
Sean O'Brien Sean O'Brien G 20 36.0 12.5 2.5 4.0 1.1 0.0 2.5 2.9 14.7 -88 26 -3.4 -4.0 37.9 40.0 88.9 -1.56 201.7 51.7
Jordan Swopshire Jordan Swopshire F 20 26.3 10.3 4.5 1.4 0.7 0.2 1.9 2.0 13.2 -19 26 -0.7 -1.2 25.0 19.2 90.5 2.03 210.2 31.2
Malcolm Regisford Malcolm Regisford F 20 25.3 8.2 6.8 1.1 0.4 0.8 2.2 2.2 13.0 -44 26 -1.7 -2.9 46.7 0 52.4 -0.59 152.1 46.7
Tom Rivard Tom Rivard F 20 19.6 7.1 3.6 1.2 0.6 0.2 1.6 1.3 9.8 -79 26 -3.0 -6.3 26.9 25.0 77.8 -1.57 237.0 30.8
Francisco Amiel Francisco Amiel G 20 27.2 5.2 2.3 2.2 1.0 0.0 1.9 1.2 7.5 -31 26 -1.2 -1.9 24.0 5.9 57.1 0.67 183.4 26.0
Nathan Harries Nathan Harries G 13 18.4 4.6 1.7 1.2 0.5 0.2 0.8 2.0 5.4 -42 15 -2.8 -6.6 46.2 25.0 66.7 -1.84 95.9 50.0
Jordan Robertson Jordan Robertson G 16 14.7 3.8 1.4 0.4 0.2 0.4 0.9 0.9 4.5 -104 21 -5.0 -16.7 28.6 37.5 100.0 -4.59 183.3 39.3
Dave Krmpotich Dave Krmpotich F 6 5.0 2.8 1.5 0.3 0.0 0.3 0.5 0.5 4.0 -6 5 -1.2 -10.9 66.7 0 0 -2.33 283.3 66.7
Andrew Bargmann Andrew Bargmann G 14 9.2 2.1 1.0 0.3 0.5 0.0 0.6 0.4 2.9 21 18 1.2 5.3 40.0 25.0 80.0 0.97 201.4 50.0
Dana Batt Dana Batt C 19 8.9 1.8 1.7 0.2 0.2 0.1 0.8 0.4 2.7 -83 25 -3.3 -16.0 50.0 0 0 -5.53 212.5 50.0
Sam Lindgren Sam Lindgren F 5 3.2 1.4 0.4 0.4 0.2 0.2 0.0 0.4 2.2 15 5 3.0 66.2 50.0 0 0 1.67 175.0 50.0
David Favorite David Favorite G 5 2.4 0.0 0.0 0.0 0.0 0.0 0.0 0.2 -0.2 13 5 2.6 63.0 0.0 0.0 0 1.19 0.0 0.0
Ryan Diew Ryan Diew G 2 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.5 -0.5 - - - - 0.0 0.0 0 -0.88 0.0 0.0
Milan Williams Milan Williams - 1 1.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 0 0
Jack Buckmelter Jack Buckmelter - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Dylan Whitbread Dylan Whitbread - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 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