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Colgate Raiders

Also known as: Colgate Raiders
Program History

2016 Team Stats (3 games)

64.0
PPG
83.7
Opp
-19.7
Margin
36.1%
FG%
38.0%
3P%
73.0%
FT%
37.7
RPG
10.3
APG
16.7
TO
-
Est. poss./game
58.5
Adj PPG
70.1
Adj Opp PPG
#289
Scoring Rank

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 โ†’ 727 (#291) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 733 (#314) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +74 elo More โ†’ 905 (#285) HCA +74 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -12.3 (#289) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -11.3 (#285) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.131 (#306) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -19.3 More โ†’ 0.098 (#292) AdjNet -19.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -19.3 More โ†’ 0.096 (#291) AdjNet -19.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.5 | AdjD 70.1 More โ†’ 0.259 (#289) AdjO 58.5 | AdjD 70.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.4 | AdjD 69.0 More โ†’ 0.335 (#285) AdjO 61.4 | AdjD 69.0
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 โ†’ 0.206 (#292) 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 โ†’ 0.218 (#290) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 147 | GP 30 More โ†’ 756 (#311) RD 147 | GP 30

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-15 @ Kent State Golden Flashes L 71 - 76
2015-11-18 @ Cornell Big Red L 60 - 73
2015-11-22 vs Monmouth Hawks L 80 - 86
2015-11-27 @ DePaul Blue Demons L 46 - 96
2015-12-05 @ LIU Brooklyn Blackbirds W 63 - 53
2015-12-07 @ Binghamton Bearcats L 56 - 63
2015-12-09 vs UConn Huskies L 50 - 94
2015-12-13 vs Gonzaga Bulldogs L 50 - 80
2015-12-19 vs St. Bonaventure Bonnies L 38 - 62
2015-12-22 @ Lafayette Leopards W 72 - 59
2015-12-28 vs Siena Saints W 52 - 50
2016-01-02 vs American University Eagles L 37 - 49
2016-01-06 vs Holy Cross Crusaders L 71 - 80
2016-01-09 @ Navy Midshipmen L 41 - 51
2016-01-13 @ Army Black Knights L 55 - 67
2016-01-16 vs Bucknell Bison L 51 - 71
2016-01-20 @ Boston University Terriers W 72 - 63
2016-01-23 vs Loyola Maryland Greyhounds L 49 - 65
2016-01-30 @ American University Eagles L 56 - 64
2016-02-03 @ Holy Cross Crusaders L 61 - 70
2016-02-06 vs Navy Midshipmen L 58 - 62
2016-02-10 vs Army Black Knights L 55 - 78
2016-02-13 @ Bucknell Bison L 60 - 79
2016-02-17 vs Boston University Terriers L 58 - 71
2016-02-21 @ Loyola Maryland Greyhounds L 38 - 55
2016-02-24 @ Lehigh Mountain Hawks L 74 - 83
2016-02-27 vs Lafayette Leopards W 70 - 55
2016-03-02 vs Lehigh Mountain Hawks W 82 - 72
2016-03-05 vs Lafayette Leopards W 80 - 68
2016-03-07 @ Army Black Knights L 62 - 89

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%
J. Bynum J. Bynum C 3 28.7 16.3 1.7 1.0 0.0 0.0 1.7 15.3 2.0 -183 25 -7.3 -10.6 39.1 46.2 100.0 -2.01 52.8 52.2
J. Stockill J. Stockill F 3 25.7 12.3 7.7 0.3 0.3 2.3 0.7 13.3 9.0 -154 25 -6.2 -8.7 35.0 0 81.8 -0.76 41.3 35.0
K. Curtis K. Curtis G 3 27.7 10.0 3.7 2.7 2.0 0.0 3.3 8.3 6.7 -136 25 -5.4 -8.3 32.0 43.8 87.5 0.58 52.6 46.0
A. Etheridge A. Etheridge G 3 19.0 9.0 0.3 0.0 0.7 0.0 2.7 9.3 -2.0 -92 25 -3.7 -9.7 32.1 33.3 83.3 -1.87 44.1 39.3
R. Butler R. Butler G 1 26.0 8.0 3.0 4.0 1.0 0.0 6.0 7.0 3.0 -34 9 -3.8 -5.7 57.1 0 0 1.38 57.1 57.1
K. Stone K. Stone G 3 17.7 4.7 2.3 0.3 0.3 0.0 1.0 4.7 2.0 -67 25 -2.7 -6.5 35.7 30.0 50.0 -1.75 47.0 46.4
M. Chandler M. Chandler F 3 20.7 4.3 5.7 0.3 1.0 1.3 1.7 3.0 8.0 -57 25 -2.3 -6.5 55.6 0.0 100.0 -0.12 63.0 55.6
J. Barcello J. Barcello F 2 30.0 2.5 8.0 2.5 1.0 0.5 1.0 2.0 11.5 -100 22 -4.5 -11.7 50.0 0 25.0 -3.95 43.4 50.0
C. Koren C. Koren G 3 15.0 2.0 1.3 1.3 0.0 0.3 0.3 3.0 1.7 -70 24 -2.9 -10.9 33.3 0.0 0.0 -3.16 30.4 33.3
M. Carroll M. Carroll G 3 3.3 1.0 0.3 0.3 0.0 0.0 0.3 1.0 0.3 -22 16 -1.4 -16.9 33.3 33.3 0 -3.26 50.0 50.0
T. Pozsonyi T. Pozsonyi F 3 8.7 0.0 0.7 1.0 0.3 0.0 1.0 1.0 0.0 -85 24 -3.5 -12.2 0.0 0 0 -2.82 0.0 0.0
S. King S. King F 3 5.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 -27 20 -1.4 -10.7 0.0 0.0 0 -1.3 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