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Colgate

Also known as: Colgate Raiders
Program History

2013 Team Stats (4 games)

59.0
PPG
66.2
Opp
-7.2
Margin
42.2%
FG%
30.8%
3P%
64.4%
FT%
36.8
RPG
12.5
APG
14.3
TO
-
Est. poss./game
61.6
Adj PPG
68.0
Adj Opp PPG
#267
Scoring Rank

Model Outputs

2012-2013
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†’ 747 (#295) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 861 (#270) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 922 (#279) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ -6.8 (#266) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ -7.3 (#276) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.256 (#285) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -12.1 More โ†’ 0.199 (#274) AdjNet -12.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -12.1 More โ†’ 0.196 (#274) AdjNet -12.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.6 | AdjD 68.0 More โ†’ 0.358 (#267) AdjO 61.6 | AdjD 68.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.7 | AdjD 67.0 More โ†’ 0.383 (#279) AdjO 61.7 | AdjD 67.0
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†’ 0.295 (#278) 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†’ 0.299 (#279) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 157 | GP 32 More โ†’ 846 (#277) RD 157 | GP 32

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 @ Illinois Fighting Illini L 55 - 75
2012-11-11 @ Marquette Golden Eagles L 63 - 84
2012-11-14 vs Marist Red Foxes W 74 - 60
2012-11-17 @ Elon Phoenix L 35 - 41
2012-11-18 vs Coppin State Eagles W 88 - 84
2012-11-21 @ Saint Francis Red Wolves W 85 - 76
2012-11-25 @ Syracuse Orange L 51 - 87
2012-12-01 @ Cornell Big Red L 63 - 70
2012-12-05 @ Quinnipiac Bobcats L 56 - 67
2012-12-08 vs UAlbany Great Danes L 61 - 67
2012-12-18 @ Providence Friars L 45 - 79
2012-12-22 @ St. Francis Brooklyn Terriers L 61 - 73
2012-12-28 vs Binghamton Bearcats W 74 - 47
2012-12-30 vs New Hampshire Wildcats W 65 - 63
2013-01-02 @ Columbia Lions L 59 - 66
2013-01-05 @ Dartmouth Big Green W 78 - 62
2013-01-12 vs American University Eagles L 63 - 72
2013-01-16 vs Bucknell Bison L 59 - 73
2013-01-19 @ Lehigh Mountain Hawks L 45 - 60
2013-01-23 vs Army Black Knights W 93 - 90
2013-01-26 @ Navy Midshipmen W 70 - 56
2013-01-30 @ Lafayette Leopards L 40 - 69
2013-02-02 vs Holy Cross Crusaders W 63 - 45
2013-02-06 vs NJIT Highlanders L 58 - 77
2013-02-09 @ American University Eagles L 55 - 70
2013-02-13 @ Bucknell Bison L 61 - 69
2013-02-16 vs Lehigh Mountain Hawks W 64 - 60
2013-02-20 @ Army Black Knights L 63 - 77
2013-02-24 vs Navy Midshipmen W 59 - 46
2013-02-27 vs Lafayette Leopards L 67 - 80
2013-03-02 @ Holy Cross Crusaders L 59 - 74
2013-03-06 @ Lehigh Mountain Hawks L 64 - 71

2013 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
Murphy Burnatowski Murphy Burnatowski F 32 30.4 17.4 5.1 1.3 1.2 0.8 2.0 4.4 19.5 -128 22 -5.8 -8.4 44.0 25.9 82.8 -0.07 181.1 48.9
Pat Moore Pat Moore G 31 27.5 9.8 2.5 1.5 0.3 0.0 1.3 2.7 10.0 -124 21 -5.9 -9.3 44.7 48.9 75.0 -1.5 165.7 58.2
Brandon James Brandon James F 26 18.6 8.1 5.0 1.0 0.5 0.2 1.9 1.8 11.0 -114 19 -6.0 -15.0 52.1 25.0 47.1 -4.15 189.3 56.2
Mitch Rolls Mitch Rolls G 32 28.1 7.2 1.8 2.8 0.5 0.1 1.9 1.8 8.5 -141 22 -6.4 -9.6 33.9 29.6 70.0 -0.77 169.6 40.7
Damon Sherman-Newsome Damon Sherman-Newsome G 32 21.2 6.1 2.6 1.2 0.5 0.2 1.5 1.5 7.5 -72 22 -3.3 -7.1 47.9 34.8 94.4 0.61 173.5 56.2
John Brandenburg John Brandenburg C 32 19.6 5.1 3.3 0.6 0.4 0.8 1.1 1.8 7.3 -104 22 -4.7 -10.4 49.2 0 64.7 -2.11 122.6 49.2
Luke Roh Luke Roh G 32 29.1 4.7 6.6 3.5 0.8 0.4 2.1 1.0 12.8 -114 22 -5.2 -7.9 36.4 0 43.8 -0.15 188.6 36.4
Clayton Graham Clayton Graham F 31 10.2 2.6 2.4 0.5 0.1 0.3 0.5 0.4 4.9 -48 22 -2.2 -9.3 50.0 0 60.0 -1.28 215.1 50.0
Matt McMullen Matt McMullen F 31 11.3 2.5 2.9 0.6 0.1 0.1 0.5 0.5 5.1 -44 22 -2.0 -8.2 52.9 50.0 25.0 -1.93 205.2 61.8
Chad Johnson Chad Johnson G 30 8.6 1.9 1.1 0.3 0.3 0.1 0.6 0.8 2.3 -58 21 -2.8 -13.5 43.5 66.7 0 -3.25 123.9 47.8
Lazar Bogdanovic Lazar Bogdanovic F-C 10 3.3 0.4 0.6 0.0 0.0 0.0 0.0 0.1 0.9 -3 5 -0.6 -10.3 0.0 0 0 -1.56 200.0 0.0
Alex Ramon Alex Ramon G 8 2.8 0.4 0.5 0.2 0.1 0.0 0.2 0.2 0.8 -2 5 -0.4 -6.0 50.0 50.0 0 -1.64 75.0 75.0
Jared Accettura Jared Accettura G 8 1.2 0.2 0.4 0.0 0.1 0.0 0.1 0.1 0.5 - - - - 100.0 0 0 -0.7 100.0 100.0

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