Fordham
2017 Team Stats (1 games)
71.0
PPG
82.0
Opp
-11.0
Margin
39.7%
FG%
34.6%
3P%
70.6%
FT%
22.0
RPG
12.0
APG
6.0
TO
-
Est. poss./game
63.5
Adj PPG
65.3
Adj Opp PPG
#197
Scoring Rank
Model Outputs
2016-2017
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 | 964 (#188) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 944 (#214) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 933 (#269) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -1.7 (#194) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -2.1 (#199) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.359 (#241) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.454 (#180) | AdjNet -1.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.454 (#180) | AdjNet -1.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.459 (#197) | AdjO 63.5 | AdjD 65.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.436 (#232) | AdjO 63.1 | AdjD 65.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.433 (#206) | 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 | 0.428 (#208) | 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 | 958 (#199) | RD 133 | GP 31 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Javontae Hawkins
|
G | 17 | 32.3 | 15.4 | 5.2 | 0.8 | 0.9 | 0.6 | 2.6 | 1.5 | 18.9 | -46 | 31 | -1.5 | -2.1 | 52.0 | 50.0 | 100.0 | -1.96 | 452.3 | 60.0 |
Christian Sengfelder
|
F | 17 | 31.4 | 13.2 | 5.2 | 0.8 | 0.8 | 0.2 | 0.5 | 1.3 | 18.5 | 47 | 32 | 1.5 | 2.0 | 45.5 | 50.0 | 66.7 | 4.98 | 482.4 | 56.8 |
Joseph Chartouny
|
G | 14 | 32.6 | 13.0 | 4.3 | 4.9 | 3.4 | 0.1 | 3.1 | 1.5 | 20.9 | 5 | 29 | 0.2 | 0.2 | 47.6 | 66.7 | 87.5 | 1.86 | 371.1 | 61.9 |
Antwoine Anderson
|
G | 17 | 33.3 | 10.6 | 2.2 | 3.2 | 1.4 | 0.2 | 2.6 | 1.2 | 13.9 | -21 | 32 | -0.7 | -0.9 | 50.0 | 25.0 | 50.0 | -0.28 | 415.9 | 55.0 |
Prokop Slanina
|
F | 12 | 17.2 | 5.6 | 3.3 | 0.8 | 0.8 | 0.9 | 1.2 | 0.3 | 9.8 | - | - | - | - | 75.0 | 100.0 | 100.0 | - | 686.5 | 87.5 |
Will Tavares
|
G | 16 | 19.8 | 4.1 | 2.1 | 1.1 | 1.1 | 0.1 | 1.6 | 0.1 | 6.9 | -68 | 31 | -2.2 | -4.7 | 0.0 | 0.0 | 0 | -3.47 | 3300.0 | 0.0 |
C. Havsa
|
G | 10 | 15.2 | 3.5 | 1.1 | 1.3 | 0.8 | 0.2 | 1.0 | 0.9 | 5.0 | -15 | 19 | -0.8 | -2.6 | 44.4 | 20.0 | 0 | 0.3 | 194.4 | 50.0 |
Nemanja Zarkovic
|
G | 7 | 21.4 | 3.4 | 1.7 | 1.1 | 1.1 | 0.0 | 0.4 | 0.0 | 7.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
David Pekarek
|
F | 8 | 13.5 | 2.1 | 1.1 | 0.9 | 0.4 | 0.2 | 1.1 | 0.5 | 3.1 | - | - | - | - | 25.0 | 25.0 | 50.0 | - | 174.2 | 37.5 |
Sinan Saglam
|
- | 3 | 4.7 | 1.7 | 0.7 | 0.3 | 0.0 | 0.3 | 0.0 | 1.7 | 1.3 | - | - | - | - | 40.0 | 0.0 | 100.0 | - | 46.0 | 40.0 |
Jesse Bunting
|
F | 16 | 12.1 | 1.6 | 2.5 | 0.3 | 0.6 | 0.4 | 0.4 | 0.2 | 4.9 | -93 | 28 | -3.3 | -13.7 | 33.3 | 0 | 0 | -7.5 | 433.3 | 33.3 |
Chuba Ohams
|
F | 12 | 15.5 | 1.5 | 3.4 | 0.8 | 0.9 | 0.6 | 1.5 | 0.2 | 5.6 | -44 | 24 | -1.8 | -5.8 | 50.0 | 0 | 0.0 | -2.65 | 312.5 | 50.0 |
Thomas Sanchez
|
G | 6 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6 | 8 | 0.8 | 23.6 | 0 | 0 | 0 | 0.8 | 0 | 0 |
Chris Downing
|
F | 3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Brenton Petty
|
G | 3 | 1.7 | 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