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Fordham

Also known as: Fordham Rams, Fordham
Program History

2016 Team Stats (1 games)

55.0
PPG
70.0
Opp
-15.0
Margin
38.9%
FG%
19.0%
3P%
56.3%
FT%
34.0
RPG
9.0
APG
14.0
TO
-
Est. poss./game
68.1
Adj PPG
67.1
Adj Opp PPG
#147
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†’ 1032 (#151) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1008 (#167) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 969 (#214) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +1.2 (#146) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -0.6 (#173) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.580 (#132) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.0 More โ†’ 0.585 (#136) AdjNet +3.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.0 More โ†’ 0.586 (#136) AdjNet +3.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.1 | AdjD 67.1 More โ†’ 0.524 (#147) AdjO 68.1 | AdjD 67.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.5 | AdjD 68.2 More โ†’ 0.461 (#198) AdjO 66.5 | AdjD 68.2
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†’ 0.520 (#156) 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†’ 0.507 (#160) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 116 | GP 30 More โ†’ 1031 (#143) RD 116 | GP 30

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-14 @ UT Arlington Mavericks L 72 - 77
2015-11-17 vs Queens (NY) QUEENS COLLEGE (NY) W 76 - 57
2015-11-21 vs Fairleigh Dickinson Knights W 85 - 62
2015-11-24 vs Colgate Raiders W 84 - 58
2015-11-28 vs Manhattan Jaspers W 87 - 64
2015-12-02 vs St. John's Red Storm W 73 - 57
2015-12-05 vs Central Connecticut Blue Devils W 86 - 54
2015-12-08 vs Long Island University Sharks W 89 - 84
2015-12-13 vs Coppin State Eagles W 92 - 55
2015-12-19 vs Maine Black Bears W 70 - 53
2015-12-22 @ Boston College Eagles L 55 - 64
2016-01-03 @ George Washington Revolutionaries L 63 - 69
2016-01-06 vs La Salle Explorers W 66 - 61
2016-01-10 vs Richmond Spiders L 82 - 93
2016-01-13 @ VCU Rams L 54 - 88
2016-01-16 @ Saint Joseph's Hawks L 55 - 80
2016-01-20 vs George Mason Patriots W 73 - 62
2016-01-24 vs Dayton Flyers L 50 - 64
2016-01-27 @ Rhode Island Rams L 63 - 79
2016-01-30 @ Massachusetts Minutemen W 78 - 72
2016-02-06 vs Saint Joseph's Hawks L 60 - 82
2016-02-10 vs St. Bonaventure Bonnies L 72 - 76
2016-02-13 @ Richmond Spiders L 67 - 71
2016-02-17 vs Massachusetts Minutemen W 76 - 66
2016-02-20 @ Saint Louis Billikens L 68 - 76
2016-02-24 @ La Salle Explorers W 56 - 53
2016-02-27 vs Davidson Wildcats W 91 - 82
2016-03-02 @ Duquesne Dukes W 78 - 69
2016-03-05 vs Rhode Island Rams W 64 - 61
2016-03-10 vs Richmond Spiders L 55 - 70
2016-03-16 vs Boston University Terriers L 66 - 69

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%
Ryan Rhoomes Ryan Rhoomes F 28 32.3 15.1 10.2 1.4 0.7 1.9 1.9 0.7 26.8 174 25 7.0 10.1 63.2 0 71.4 4.07 960.1 63.2
Mandell Thomas Mandell Thomas G 23 27.0 11.9 3.4 2.0 1.8 0.2 1.5 0.9 17.0 159 21 7.6 12.0 65.0 60.0 50.0 3.52 629.6 80.0
Joseph Chartouny Joseph Chartouny G 24 32.5 10.9 5.0 6.2 2.1 0.2 3.0 1.0 20.5 149 22 6.8 9.5 30.4 44.4 55.6 2.62 485.9 39.1
Christian Sengfelder Christian Sengfelder F 27 30.3 10.1 5.1 1.0 0.7 0.2 1.3 0.3 15.5 121 24 5.0 7.4 14.3 0.0 50.0 0.32 1725.9 14.3
Antwoine Anderson Antwoine Anderson G 26 24.4 8.5 2.3 2.6 1.2 0.3 2.4 0.2 12.3 26 22 1.2 2.1 33.3 0.0 50.0 -1.66 1598.8 33.3
Jon Severe Jon Severe G 26 16.9 7.2 1.7 1.5 1.0 0.3 1.8 0.3 9.5 79 23 3.4 7.9 75.0 75.0 100.0 -0.67 1101.9 93.8
David Pekarek David Pekarek F 27 19.1 5.7 2.2 0.7 0.3 0.4 1.4 0.5 7.4 -30 24 -1.2 -3.2 21.4 22.2 100.0 -3.85 514.1 28.6
Nych Smith Nych Smith - 15 12.0 3.3 0.7 1.1 0.5 0.1 0.5 0.2 5.1 - - - - 66.7 66.7 75.0 - 525.2 100.0
Nemanja Zarkovic Nemanja Zarkovic G 28 18.0 3.1 1.4 1.2 0.6 0.0 0.5 0.1 5.6 -30 25 -1.2 -3.1 75.0 50.0 0 -4.32 1075.0 87.5
Jesse Bunting Jesse Bunting F 18 7.7 2.0 1.1 0.2 0.3 0.3 0.5 0.2 3.2 -19 19 -1.0 -6.2 100.0 0 0 -3.98 600.0 100.0
Thomas Sanchez Thomas Sanchez G 2 2.0 1.5 0.0 0.0 0.0 0.0 0.0 1.0 0.5 - - - - 50.0 100.0 0 - 75.0 75.0
Chris Downing Chris Downing F 2 2.0 1.0 0.5 0.0 0.5 0.0 0.0 0.0 2.0 - - - - 0 0 0 - 0 0
Ryan Canty Ryan Canty C 17 5.5 0.5 1.8 0.1 0.4 0.4 0.4 0.1 2.8 -56 17 -3.3 -27.7 50.0 0 0 -6.11 225.0 50.0
Matt Massimino Matt Massimino G 2 2.0 0.0 0.5 0.5 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 0 0
Brenton Petty Brenton Petty G 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 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