Fordham
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
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. More โ | 969 (#214) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +1.2 (#146) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More โ | 0.585 (#136) | AdjNet +3.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.586 (#136) | AdjNet +3.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. More โ | 1031 (#143) | RD 116 | GP 30 |
2016 Schedule & Results
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
- | 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
|
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
|
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
|
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
|
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
|
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
|
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
|
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