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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

2015 Team Stats (1 games)

65.0
PPG
44.0
Opp
+21.0
Margin
47.4%
FG%
40.9%
3P%
40.0%
FT%
33.0
RPG
19.0
APG
10.0
TO
-
Est. poss./game
63.9
Adj PPG
64.9
Adj Opp PPG
#180
Scoring Rank

Model Outputs

2014-2015
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 → 1022 (#154) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 979 (#195) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More → 1017 (#141) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -1.3 (#182) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → -1.7 (#201) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.523 (#159) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.2 More → 0.408 (#194) AdjNet -3.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.3 More → 0.406 (#195) AdjNet -3.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.9 | AdjD 64.9 More → 0.477 (#180) AdjO 63.9 | AdjD 64.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.5 | AdjD 66.3 More → 0.504 (#168) AdjO 66.5 | AdjD 66.3
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 → 0.475 (#180) 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 → 0.481 (#180) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 142 | GP 32 More → 982 (#187) RD 142 | GP 32

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-15 @ La Salle Explorers L 52 - 57
2014-11-18 @ Cornell Big Red L 52 - 58
2014-11-22 @ Campbell Fighting Camels W 54 - 48
2014-11-24 @ James Madison Dukes L 71 - 77
2014-11-26 vs UAlbany Great Danes L 71 - 75
2014-11-29 @ Arizona State Sun Devils L 71 - 78
2014-12-03 vs Sacred Heart Pioneers L 70 - 71
2014-12-06 @ Ohio State Buckeyes L 50 - 70
2014-12-09 vs SUNY Morrisville Mustangs W 88 - 52
2014-12-11 vs Binghamton Bearcats W 65 - 44
2014-12-14 @ New Hampshire Wildcats L 57 - 63
2014-12-22 @ Syracuse Orange L 43 - 78
2014-12-28 @ Columbia Lions L 64 - 69
2014-12-31 @ Lehigh Mountain Hawks W 68 - 61
2015-01-03 vs Bucknell Bison W 68 - 62
2015-01-07 vs Holy Cross Crusaders W 74 - 60
2015-01-10 @ American University Eagles L 69 - 71
2015-01-14 vs Boston University Terriers W 62 - 53
2015-01-17 @ Navy Midshipmen W 65 - 53
2015-01-21 @ Army Black Knights L 64 - 65
2015-01-24 vs Loyola Maryland Greyhounds W 59 - 58
2015-01-28 vs Lafayette Leopards L 54 - 59
2015-01-31 @ Bucknell Bison W 71 - 69
2015-02-05 @ Holy Cross Crusaders L 60 - 70
2015-02-07 vs American University Eagles W 59 - 43
2015-02-11 @ Boston University Terriers W 76 - 69
2015-02-14 vs Navy Midshipmen L 69 - 70
2015-02-18 vs Army Black Knights W 84 - 69
2015-02-22 @ Loyola Maryland Greyhounds L 78 - 80
2015-02-25 @ Lafayette Leopards W 95 - 83
2015-02-28 vs Lehigh Mountain Hawks W 61 - 55
2015-03-05 vs Navy Midshipmen W 72 - 62
2015-03-08 vs American University Eagles L 62 - 73

2015 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%
Damon Sherman-Newsome Damon Sherman-Newsome G 30 31.6 15.1 3.5 2.0 0.6 0.2 1.9 1.6 17.9 53 25 2.1 3.0 42.6 27.6 50.0 0.03 412.4 51.1
Ethan Jacobs Ethan Jacobs C 30 28.2 12.5 4.3 1.1 0.3 1.2 1.5 1.1 16.8 51 25 2.0 3.2 45.5 14.3 87.5 1.09 512.0 47.0
Luke Roh Luke Roh G 30 33.0 10.3 6.0 2.6 0.8 0.3 1.8 1.0 17.2 -9 25 -0.4 -0.5 73.3 0 58.8 -6.78 413.6 73.3
Matt McMullen Matt McMullen F 30 33.5 9.6 6.6 2.1 1.0 0.8 1.6 1.0 17.6 90 25 3.6 4.8 58.1 50.0 90.0 1.41 406.8 71.0
Pat Moore Pat Moore G 24 13.4 3.6 0.8 0.8 0.1 0.0 0.4 0.5 4.5 2 20 0.1 0.3 45.5 40.0 0 -1.4 395.5 63.6
Alex Ramon Alex Ramon G 28 12.8 2.7 1.4 0.9 0.6 0.0 0.6 0.3 4.7 -56 24 -2.3 -8.9 55.6 100.0 83.3 -6.98 326.5 66.7
Andrew Bargmann Andrew Bargmann G 3 3.7 2.7 0.3 0.3 0.7 0.0 0.3 0.0 3.7 - - - - 0 0 0 - 0 0
Nathan Harries Nathan Harries G 3 13.0 1.7 0.7 0.3 0.0 0.0 0.3 0.0 2.3 - - - - 0 0 0 - 0 0
Jordan Robertson Jordan Robertson G 11 8.5 1.6 0.7 0.2 0.1 0.2 0.6 0.5 1.6 13 10 1.3 5.5 50.0 50.0 0 0.38 150.0 66.7
John Fenton John Fenton C 29 9.1 1.1 1.8 0.0 0.2 0.2 0.3 0.1 3.0 11 24 0.5 2.1 0.0 0 0 -0.66 550.0 0.0
Sean O'Brien Sean O'Brien G 28 7.7 1.0 0.9 0.4 0.2 0.0 0.5 0.1 2.0 -21 24 -0.9 -4.9 0.0 0.0 0.0 -1.31 594.3 0.0
Anthony DeRiggs Anthony DeRiggs G 4 2.2 0.5 0.2 0.0 0.0 0.0 0.0 0.0 0.8 -6 5 -1.2 -30.8 0 0 0 -1.78 0 0
Nic Lane Nic Lane G 4 1.5 0.5 0.2 0.0 0.0 0.0 0.2 0.0 0.5 -9 5 -1.8 -67.9 0 0 0 -2.4 0 0
Austin Tillotson Austin Tillotson G 1 35.0 0.0 4.0 10.0 1.0 0.0 2.0 4.0 9.0 132 25 5.3 6.8 0.0 0.0 0 7.44 0.0 0.0
Wyatt Hagerty Wyatt Hagerty - 3 7.7 0.0 1.7 0.0 0.0 0.0 0.3 0.0 1.3 - - - - 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