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Yale

Also known as: Yale Bulldogs
Program History

2018 Team Stats (19 games)

65.5
PPG
64.2
Opp
+1.3
Margin
39.6%
FG%
26.6%
3P%
66.2%
FT%
36.9
RPG
12.2
APG
15.2
TO
-
Est. poss./game
67.4
Adj PPG
64.4
Adj Opp PPG
#127
Scoring Rank

Model Outputs

2017-2018
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†’ 1111 (#112) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1110 (#99) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 1122 (#48) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ +2.9 (#131) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More โ†’ +3.4 (#124) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.599 (#127) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +4.6 More โ†’ 0.630 (#131) AdjNet +4.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.6 More โ†’ 0.631 (#131) AdjNet +4.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.4 | AdjD 64.4 More โ†’ 0.567 (#127) AdjO 67.4 | AdjD 64.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.7 | AdjD 63.1 More โ†’ 0.581 (#106) AdjO 66.7 | AdjD 63.1
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†’ 0.637 (#106) 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†’ 0.639 (#104) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 92 | GP 32 More โ†’ 1144 (#81) RD 92 | GP 32

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs LIU Brooklyn Blackbirds W 62 - 51
2017-11-13 vs Colgate Raiders W 82 - 56
2017-11-19 @ Kansas Jayhawks L 75 - 81
2017-11-21 @ TCU Horned Frogs W 82 - 72
2017-11-26 vs Army Black Knights L 65 - 82
2017-11-29 vs Providence Friars L 51 - 55
2017-12-02 @ Binghamton Bearcats W 73 - 69
2017-12-06 @ Stony Brook Seawolves W 77 - 71
2017-12-09 @ Central Connecticut Blue Devils W 75 - 62
2017-12-12 @ Saint Peter's Peacocks W 70 - 49
2017-12-21 vs Indiana Hoosiers L 68 - 72
2017-12-28 vs UC Davis Aggies L 61 - 71
2017-12-29 @ Hartford Hawks L 70 - 78
2018-01-12 vs Brown Bears W 77 - 63
2018-01-19 @ Brown Bears L 71 - 81
2018-01-26 @ Harvard Crimson L 73 - 97
2018-01-27 @ Dartmouth Big Green W 57 - 39
2018-02-02 vs Princeton Tigers W 73 - 59
2018-02-03 vs Pennsylvania Quakers L 54 - 69
2018-02-09 @ Columbia Lions W 73 - 50
2018-02-10 @ Cornell Big Red W 65 - 55
2018-02-16 vs Dartmouth Big Green L 62 - 64
2018-02-17 vs Harvard Crimson W 69 - 63
2018-02-23 vs Cornell Big Red W 69 - 56
2018-02-24 vs Columbia Lions W 66 - 59
2018-03-02 @ Pennsylvania Quakers L 52 - 64
2018-03-03 @ Princeton Tigers L 53 - 64
2018-03-10 @ Princeton Tigers L 57 - 78
2018-03-15 @ Northeastern Huskies W 68 - 58
2018-03-20 @ Binghamton Bearcats W 70 - 64
2018-03-24 vs South Alabama Jaguars W 76 - 74
2018-03-29 @ Central Arkansas Sugar Bears W 54 - 50

2018 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%
J. Berkowitz J. Berkowitz F 19 34.3 14.5 6.4 0.9 0.4 0.7 1.8 9.5 11.5 -39 23 -1.7 -2.1 59.1 32.3 72.9 -2.86 64.9 61.9
T. Simpson T. Simpson G 19 34.9 13.5 4.5 1.9 4.2 0.4 2.1 12.7 9.7 -10 23 -0.4 -0.5 40.1 30.4 60.9 -0.85 47.6 45.0
R. Barahman R. Barahman G 19 32.5 12.8 4.4 3.8 1.9 0.2 3.6 12.4 7.1 33 23 1.4 2.0 37.7 29.7 57.5 3.51 44.8 41.7
E. Andrews E. Andrews F 19 23.9 8.2 2.8 1.3 1.4 0.4 1.5 7.4 5.2 -3 23 -0.1 -0.3 41.1 23.3 85.3 0.14 49.7 44.7
T. Andrew T. Andrew G 15 17.9 5.4 1.5 0.7 0.3 0.2 1.2 5.3 1.5 -21 17 -1.2 -2.7 27.5 31.7 90.0 -1.28 45.6 39.4
M. Gorman M. Gorman F 19 22.8 4.1 6.8 0.9 0.6 0.4 1.7 5.4 5.7 -7 23 -0.3 -0.6 28.4 15.8 59.3 -1.69 33.8 29.9
M. Santucci M. Santucci G 19 21.3 2.7 2.0 1.6 0.3 0.1 1.3 4.0 1.4 41 23 1.8 3.6 21.1 20.7 46.7 1.66 30.9 28.9
A. Cade A. Cade F 16 5.8 2.6 1.9 0.2 0.2 0.4 0.4 1.5 3.2 31 17 1.8 10.6 62.5 0.0 64.7 2.73 65.1 62.5
A. Maund A. Maund F 19 9.4 1.7 2.0 0.4 0.3 0.2 1.1 2.0 1.5 25 22 1.1 4.8 39.5 0.0 33.3 0.44 39.3 39.5
A. Chavarin A. Chavarin F 2 3.5 1.5 2.0 0.0 0.5 0.0 0.5 0.5 3.0 - - - - 0.0 0 75.0 - 54.3 0.0
G. Nelson G. Nelson G 9 4.0 1.3 0.0 0.2 0.1 0.0 0.1 1.3 0.2 - - - - 33.3 33.3 0 - 50.0 50.0
B. Davies B. Davies F 13 6.2 0.9 1.2 0.4 0.6 0.2 0.5 1.1 1.7 17 13 1.3 8.7 28.6 0.0 100.0 -0.33 38.1 28.6
A. Aguirre A. Aguirre G 5 1.6 0.8 0.0 0.2 0.2 0.0 0.0 1.4 -0.2 - - - - 14.3 0.0 100.0 -1.6 25.4 14.3

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