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Fordham

Also known as: Fordham Rams
Program History

2015 Team Stats (2 games)

53.5
PPG
71.0
Opp
-17.5
Margin
33.0%
FG%
27.5%
3P%
84.6%
FT%
35.0
RPG
13.5
APG
18.5
TO
-
Est. poss./game
59.1
Adj PPG
53.6
Adj Opp PPG
#95
Scoring Rank

Model Outputs

2014-2015
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†’ 1220 (#69) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1150 (#75) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +86 elo More โ†’ 1060 (#91) HCA +86 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +5.7 (#97) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ +3.8 (#115) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.680 (#91) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.1 More โ†’ 0.761 (#92) AdjNet +10.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.2 More โ†’ 0.766 (#92) AdjNet +10.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.1 | AdjD 53.6 More โ†’ 0.622 (#95) AdjO 59.1 | AdjD 53.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.3 | AdjD 57.9 More โ†’ 0.554 (#120) AdjO 60.3 | AdjD 57.9
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†’ 0.673 (#94) 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†’ 0.661 (#96) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 33 More โ†’ 1146 (#76) RD 114 | GP 33

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs Iona Gaels L 51 - 72
2014-11-16 @ Syracuse Orange L 42 - 59
2014-11-18 vs Mount St. Mary's Mountaineers W 61 - 37
2014-11-21 vs Hofstra Pride W 60 - 46
2014-11-25 @ Delaware Blue Hens W 49 - 44
2014-11-28 @ Incarnate Word Cardinals W 74 - 42
2014-11-30 vs Drake Bulldogs L 56 - 62
2014-12-05 vs Seton Hall Pirates L 43 - 56
2014-12-07 @ Temple Owls W 71 - 64
2014-12-09 @ Central Connecticut Blue Devils W 72 - 36
2014-12-14 vs Manhattan Jaspers W 70 - 41
2014-12-29 vs Savannah State Tigers W 63 - 53
2014-12-30 vs Princeton Tigers L 53 - 67
2015-01-04 vs Richmond Spiders W 65 - 64
2015-01-08 @ La Salle Explorers W 70 - 59
2015-01-11 @ St. Bonaventure Bonnies W 72 - 62
2015-01-15 vs Saint Joseph's Hawks W 57 - 47
2015-01-18 vs VCU Rams W 60 - 51
2015-01-21 vs Massachusetts Minutewomen W 65 - 42
2015-01-24 @ Saint Louis Billikens L 50 - 54
2015-01-28 @ Davidson Wildcats W 66 - 45
2015-01-31 vs Duquesne Dukes L 46 - 56
2015-02-05 vs St. Bonaventure Bonnies W 54 - 51
2015-02-08 @ Saint Joseph's Hawks W 48 - 47
2015-02-15 @ Rhode Island Rams L 56 - 71
2015-02-18 vs Dayton Flyers L 45 - 59
2015-02-21 @ George Washington Revolutionaries L 65 - 83
2015-02-25 @ George Mason Patriots W 79 - 55
2015-03-01 vs Davidson Wildcats W 54 - 46
2015-03-06 vs Richmond Spiders W 46 - 45
2015-03-07 @ George Washington Revolutionaries L 60 - 72
2015-03-19 vs Central Connecticut Blue Devils W 70 - 67
2015-03-22 @ St. John's Red Storm L 63 - 77

2015 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%
G. Davis G. Davis F 2 13.0 9.5 7.0 0.5 0.5 1.0 2.5 6.5 9.5 22 29 0.8 2.3 38.5 0 90.0 -1.16 54.6 38.5
S. Clark S. Clark F 2 31.5 8.5 4.5 3.0 0.5 0.5 1.0 9.0 7.0 120 29 4.1 5.7 27.8 25.0 83.3 3.53 41.2 33.3
E. Tapio E. Tapio F 2 30.0 8.0 3.5 3.0 0.5 0.5 2.5 6.0 7.0 102 29 3.5 5.0 58.3 0.0 100.0 1.35 62.1 58.3
A. Gjerkes A. Gjerkes G 1 26.0 8.0 1.0 1.0 1.0 0.0 4.0 4.0 3.0 49 9 5.4 24.3 75.0 66.7 0 2.07 100.0 100.0
D. Burns D. Burns G 2 18.5 7.5 3.5 0.0 1.0 0.0 1.5 6.5 4.0 81 29 2.8 6.0 38.5 25.0 80.0 0.71 49.3 42.3
T. Ruffin T. Ruffin G 2 30.0 4.0 3.0 2.0 1.0 0.0 4.5 6.5 -1.0 114 29 3.9 5.0 30.8 0.0 0 1.87 30.8 30.8
C. Gaskin C. Gaskin - 1 9.0 3.0 0.0 1.0 1.0 0.0 0.0 3.0 2.0 - - - - 33.3 50.0 0 - 50.0 50.0
K. Gibson K. Gibson G 2 6.5 3.0 0.5 1.0 0.5 0.0 0.5 1.5 3.0 11 10 1.1 8.8 66.7 0 66.7 -1.11 69.4 66.7
H. Missry H. Missry G 1 16.0 3.0 0.0 0.0 0.0 0.0 1.0 7.0 -5.0 49 28 1.8 2.9 14.3 14.3 0 -1.71 21.4 21.4
A. Fomina A. Fomina G 2 15.5 3.0 2.0 0.0 0.5 0.0 2.0 5.0 -1.5 35 27 1.3 5.2 20.0 40.0 0 0.33 30.0 30.0
B. Zappeij B. Zappeij G 2 4.5 3.0 0.0 0.0 0.0 0.0 0.5 2.5 0.0 13 7 1.9 16.4 40.0 40.0 0 -0.87 60.0 60.0
T. Durant T. Durant - 2 17.0 0.0 1.5 3.0 0.0 0.0 0.5 2.5 1.5 36 27 1.3 4.4 0.0 0 0 -1.62 0.0 0.0
D. Padovano D. Padovano F 2 8.0 0.0 2.0 0.0 0.5 0.0 0.5 3.0 -1.0 31 28 1.1 4.0 0.0 0.0 0 0.46 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