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Princeton

Also known as: Princeton Tigers, Princeton
Program History

2016 Team Stats (8 games)

75.4
PPG
71.0
Opp
+4.4
Margin
46.3%
FG%
39.4%
3P%
71.6%
FT%
31.3
RPG
12.5
APG
11.0
TO
-
Est. poss./game
76.7
Adj PPG
68.2
Adj Opp PPG
#67
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†’ 1196 (#64) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1209 (#45) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 1125 (#32) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +8.5 (#73) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +9.6 (#57) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.800 (#30) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.5 More โ†’ 0.771 (#83) AdjNet +10.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.6 More โ†’ 0.774 (#82) AdjNet +10.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.7 | AdjD 68.2 More โ†’ 0.683 (#67) AdjO 76.7 | AdjD 68.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.2 | AdjD 69.0 More โ†’ 0.678 (#37) AdjO 77.2 | 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†’ 0.726 (#58) 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†’ 0.725 (#57) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 128 | GP 28 More โ†’ 1160 (#72) RD 128 | GP 28

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 @ Rider Broncs W 64 - 56
2015-11-21 vs Saint Peter's Peacocks W 75 - 72
2015-11-25 vs Lafayette Leopards W 104 - 52
2015-11-30 vs Fairleigh Dickinson Knights W 91 - 61
2015-12-05 @ Stony Brook Seawolves L 77 - 91
2015-12-08 @ Saint Joseph's Hawks L 50 - 62
2015-12-12 @ Lipscomb Bisons W 78 - 64
2015-12-17 vs Liberty Flames W 77 - 72
2015-12-19 @ Maryland Terrapins L 61 - 82
2015-12-22 vs Bucknell Bison W 89 - 77
2015-12-29 @ Miami Hurricanes L 64 - 76
2016-01-03 @ Hampton Pirates W 89 - 59
2016-01-05 @ Norfolk State Spartans W 83 - 74
2016-01-09 @ Pennsylvania Quakers W 73 - 71
2016-01-24 vs Bryn Athyn Lions W 100 - 44
2016-01-29 @ Brown Bears W 83 - 59
2016-01-30 @ Yale Bulldogs L 75 - 79
2016-02-05 vs Harvard Crimson W 83 - 62
2016-02-06 vs Dartmouth Big Green W 83 - 70
2016-02-12 @ Cornell Big Red W 85 - 56
2016-02-13 @ Columbia Lions W 88 - 83
2016-02-19 vs Yale Bulldogs W 75 - 63
2016-02-20 vs Brown Bears W 77 - 66
2016-02-26 vs Columbia Lions W 88 - 83
2016-02-27 vs Cornell Big Red W 74 - 60
2016-03-04 @ Harvard Crimson L 71 - 73
2016-03-05 @ Dartmouth Big Green W 84 - 65
2016-03-08 vs Pennsylvania Quakers W 72 - 71
2016-03-16 @ Virginia Tech Hokies L 81 - 86

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%
Henry Caruso Henry Caruso F 24 27.8 16.0 6.3 1.6 1.5 0.1 1.7 4.1 19.7 177 24 7.4 11.7 55.1 53.6 66.0 0.24 161.4 62.8
Devin Cannady Devin Cannady - 24 21.2 10.9 2.5 1.2 1.2 0.2 1.2 2.4 12.4 166 24 6.9 14.1 44.8 40.6 88.1 4.02 171.3 56.0
Steven Cook Steven Cook F 24 26.8 10.7 4.3 1.3 1.1 0.7 1.3 3.0 13.8 187 24 7.8 12.6 46.6 41.0 76.9 2.76 163.2 57.5
Spencer Weisz Spencer Weisz F 24 31.0 10.5 5.3 3.8 0.9 0.1 1.4 3.2 16.1 211 24 8.8 12.5 47.4 44.4 88.2 1.14 151.5 60.5
Amir Bell Amir Bell G 24 26.4 8.9 2.6 2.5 0.9 0.2 1.8 2.5 10.8 201 24 8.4 13.9 44.3 34.8 50.0 1.94 158.6 50.8
Pete Miller Pete Miller F 24 20.9 6.1 5.9 1.6 0.5 1.2 1.4 2.2 11.6 128 24 5.3 11.8 44.4 0 36.4 -1.16 124.9 44.4
Myles Stephens Myles Stephens G 24 14.3 5.7 2.2 0.3 0.5 0.4 0.8 1.8 6.4 70 24 2.9 9.1 52.3 30.0 83.3 -1.66 131.0 55.7
Noah Bramlage Noah Bramlage F 14 8.1 3.0 1.2 0.8 0.1 0.1 0.5 0.2 4.5 1 14 0.1 0.4 0.0 0 0.0 -1.59 541.2 0.0
Alec Brennan Alec Brennan F 24 9.7 2.9 2.3 0.5 0.5 0.5 0.6 0.8 5.2 83 24 3.5 16.6 47.4 33.3 44.4 -0.14 150.3 52.6
Khyan Rayner Khyan Rayner G 16 6.6 2.2 0.7 0.3 0.1 0.0 0.2 0.5 2.6 -9 15 -0.6 -4.6 25.0 50.0 50.0 -3.46 197.1 31.2
Jackson Forbes Jackson Forbes F 19 5.4 1.7 0.8 0.3 0.2 0.0 0.3 0.4 2.3 -12 16 -0.8 -5.5 14.3 0.0 0 -3.01 228.6 14.3
Mike LeBlanc Mike LeBlanc F 12 6.3 1.7 0.9 0.4 0.3 0.0 0.2 0.3 2.8 -25 11 -2.3 -16.9 0.0 0.0 0 -3.78 250.0 0.0
Aaron Young Aaron Young G 18 4.7 1.5 0.4 0.5 0.1 0.0 0.2 0.1 2.3 6 17 0.4 4.1 0.0 0.0 100.0 -1.42 718.1 0.0
Mike Washington Mike Washington G 14 4.2 1.1 0.9 0.4 0.0 0.0 0.4 0.3 1.6 -12 12 -1.0 -10.5 50.0 0.0 0 -1.92 187.5 50.0
Elias Berbari Elias Berbari G 6 1.8 0.0 0.2 0.2 0.0 0.0 0.0 0.0 0.3 8 7 1.1 37.3 0 0 0 -0.06 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