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Fordham

Also known as: Fordham Rams, Fordham
Program History

2015 Team Stats (4 games)

61.8
PPG
65.2
Opp
-3.5
Margin
39.6%
FG%
33.3%
3P%
67.5%
FT%
35.5
RPG
12.0
APG
14.0
TO
-
Est. poss./game
64.2
Adj PPG
66.8
Adj Opp PPG
#209
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†’ 949 (#208) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 878 (#272) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 919 (#286) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -2.3 (#202) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -1.0 (#194) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.301 (#268) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.7 More โ†’ 0.424 (#189) AdjNet -2.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.6 More โ†’ 0.424 (#189) AdjNet -2.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.2 | AdjD 66.8 More โ†’ 0.443 (#209) AdjO 64.2 | AdjD 66.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.4 | AdjD 66.9 More โ†’ 0.444 (#241) AdjO 64.4 | AdjD 66.9
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†’ 0.417 (#218) 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†’ 0.417 (#220) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 133 | GP 30 More โ†’ 921 (#233) RD 133 | GP 30

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs New York Institute Of Technology Yellow Jackets W 94 - 77
2014-11-16 @ Penn State Nittany Lions L 54 - 73
2014-11-20 @ Maryland Terrapins L 50 - 66
2014-11-23 vs UMass Lowell River Hawks L 57 - 64
2014-11-29 vs Maryland Eastern Shore Hawks L 66 - 72
2014-12-01 vs Siena Saints W 69 - 67
2014-12-10 vs Monmouth Hawks W 68 - 58
2014-12-14 @ St. John's Red Storm L 53 - 74
2014-12-22 vs Manhattan Jaspers L 57 - 71
2014-12-28 vs Howard Bison W 74 - 59
2014-12-31 vs South Carolina State Bulldogs W 74 - 54
2015-01-04 vs VCU Rams L 58 - 75
2015-01-07 @ Rhode Island Rams L 65 - 68
2015-01-10 vs Dayton Flyers L 58 - 76
2015-01-14 @ Saint Joseph's Hawks L 55 - 66
2015-01-17 @ La Salle Explorers L 49 - 60
2015-01-22 vs George Washington Revolutionaries L 59 - 79
2015-01-28 vs Rhode Island Rams L 63 - 64
2015-02-01 @ Dayton Flyers L 77 - 101
2015-02-04 vs Massachusetts Minutemen L 72 - 78
2015-02-07 vs Saint Louis Billikens W 83 - 65
2015-02-11 @ Richmond Spiders L 71 - 73
2015-02-15 vs Saint Joseph's Hawks W 69 - 55
2015-02-18 @ George Mason Patriots W 80 - 68
2015-02-21 @ Davidson Wildcats L 57 - 76
2015-02-25 vs La Salle Explorers W 63 - 48
2015-02-28 @ Massachusetts Minutemen L 74 - 82
2015-03-04 vs Duquesne Dukes L 66 - 81
2015-03-07 @ St. Bonaventure Bonnies L 52 - 66
2015-03-11 vs George Mason Patriots W 71 - 65
2015-03-12 @ VCU Rams L 57 - 63

2015 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%
Mandell Thomas Mandell Thomas G 27 34.6 13.0 4.1 3.3 2.3 0.4 2.0 3.7 17.6 -21 23 -0.9 -1.2 41.0 35.3 76.8 3.48 141.2 47.0
Christian Sengfelder Christian Sengfelder F 27 33.4 11.1 6.7 0.7 0.6 0.4 1.6 3.0 14.9 -50 23 -2.2 -2.8 48.8 48.6 70.0 -0.4 169.5 59.4
Eric Paschall Eric Paschall - 2 19.0 10.0 3.0 1.0 0.0 1.0 1.0 8.0 6.0 -19 19 -1.0 -1.4 43.8 50.0 60.0 0.33 54.9 53.1
Bryan Smith Bryan Smith G 27 23.1 6.3 3.1 2.0 0.8 0.3 1.3 1.9 9.3 -56 23 -2.4 -4.1 34.6 20.0 72.2 -1.21 142.7 39.4
Ryan Rhoomes Ryan Rhoomes F 27 29.6 6.2 8.6 0.8 0.4 1.2 1.3 1.3 14.6 -25 23 -1.1 -1.6 55.6 0 63.3 0.29 170.7 55.6
Jon Severe Jon Severe G 19 17.9 6.2 2.4 1.2 0.8 0.2 2.0 1.5 7.3 -26 16 -1.6 -3.8 32.1 33.3 100.0 -0.93 185.6 37.5
Antwoine Anderson Antwoine Anderson G 25 19.0 4.8 1.2 2.5 0.8 0.2 2.1 1.7 5.7 -25 22 -1.1 -2.7 42.9 37.5 55.6 -1.43 103.7 46.4
Nemanja Zarkovic Nemanja Zarkovic G 24 14.1 3.3 0.9 1.2 0.3 0.0 1.2 0.8 3.6 -93 19 -4.9 -14.6 40.0 27.3 50.0 -5.56 191.6 47.5
Manny Suarez Manny Suarez C 17 8.3 2.1 2.3 0.2 0.2 1.0 0.7 1.2 3.8 -3 15 -0.2 -1.1 35.0 44.4 66.7 1.1 82.1 45.0
Erando Halilaj Erando Halilaj - 4 1.8 0.5 0.2 0.2 0.0 0.0 0.2 0.2 0.5 - - - - 100.0 0 0 - 100.0 100.0
Dekeba Battee-Aston Dekeba Battee-Aston F 23 4.3 0.2 0.6 0.1 0.1 0.0 0.3 0.3 0.3 -29 19 -1.5 -17.3 0.0 0.0 0 -3.76 25.0 0.0
Nihad Musovic Nihad Musovic G 4 1.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Matt Massimino Matt Massimino G 8 1.5 0.0 0.1 0.0 0.0 0.0 0.1 0.1 -0.1 3 7 0.4 20.1 0.0 0 0 -0.4 0.0 0.0
Zaire Thompson Zaire Thompson G 8 2.8 0.0 0.5 0.2 0.4 0.0 0.4 0.0 0.8 12 6 2.0 34.1 0 0 0 0.78 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