Syracuse
2018 Team Stats (12 games)
61.4
PPG
65.8
Opp
-4.4
Margin
38.3%
FG%
29.4%
3P%
76.5%
FT%
35.4
RPG
8.3
APG
12.3
TO
-
Est. poss./game
68.3
Adj PPG
57.4
Adj Opp PPG
#45
Scoring Rank
Model Outputs
2017-2018
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 | 1299 (#34) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1212 (#37) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1083 (#59) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +12.0 (#43) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +12.0 (#32) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.624 (#101) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.884 (#42) | AdjNet +17.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.886 (#42) | AdjNet +17.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.730 (#45) | AdjO 68.3 | AdjD 57.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.648 (#45) | AdjO 65.3 | AdjD 58.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.785 (#34) | 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 | 0.772 (#35) | 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 | 1230 (#37) | RD 91 | GP 37 |
2018 Schedule & Results
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tyus Battle
|
G | 35 | 39.1 | 19.4 | 3.0 | 2.0 | 1.5 | 0.2 | 2.4 | 7.5 | 16.1 | 96 | 32 | 3.0 | 3.3 | 33.7 | 27.3 | 83.1 | 1.36 | 113.0 | 39.4 |
Oshae Brissett
|
- | 35 | 38.0 | 15.1 | 8.8 | 1.0 | 1.1 | 0.8 | 1.9 | 5.9 | 19.0 | 98 | 32 | 3.1 | 3.5 | 33.8 | 30.5 | 79.1 | 1.76 | 107.8 | 39.9 |
Frank Howard
|
G | 35 | 38.3 | 14.3 | 3.3 | 4.6 | 1.6 | 0.3 | 3.5 | 6.3 | 14.3 | 110 | 32 | 3.4 | 3.8 | 34.7 | 31.0 | 85.7 | 1.86 | 105.3 | 41.7 |
Marek Dolezaj
|
F | 35 | 28.1 | 5.8 | 4.8 | 1.6 | 0.8 | 0.8 | 1.3 | 2.1 | 10.3 | 108 | 32 | 3.4 | 5.2 | 57.3 | 33.3 | 72.4 | 3.63 | 115.1 | 58.0 |
Paschal Chukwu
|
C | 35 | 27.4 | 5.3 | 6.9 | 0.4 | 0.7 | 2.5 | 1.1 | 1.1 | 13.6 | 123 | 32 | 3.8 | 6.0 | 70.0 | 0 | 68.2 | 2.51 | 155.8 | 70.0 |
Matthew Moyer
|
F | 33 | 17.0 | 3.2 | 3.6 | 0.5 | 0.4 | 0.3 | 0.7 | 0.6 | 6.8 | 10 | 30 | 0.3 | 0.8 | 50.0 | 0.0 | 60.0 | -1.2 | 201.1 | 50.0 |
Bourama Sidibe
|
C | 28 | 12.2 | 2.6 | 3.2 | 0.1 | 0.4 | 0.6 | 0.9 | 0.7 | 5.3 | -16 | 25 | -0.6 | -2.2 | 35.0 | 0 | 50.0 | -2.25 | 149.6 | 35.0 |
Howard Washington
|
G | 17 | 6.1 | 1.1 | 0.8 | 0.5 | 0.2 | 0.1 | 0.4 | 0.4 | 2.1 | 4 | 16 | 0.2 | 1.7 | 50.0 | 33.3 | 50.0 | -2.87 | 110.0 | 58.3 |
Shaun Belbey
|
G | 3 | 0.7 | 0.7 | 0.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 1.3 | - | - | - | - | 0 | 0 | 0 | -1.09 | 0 | 0 |
Patrick Herlihy
|
F | 4 | 1.0 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | - | - | - | - | 0 | 0 | 0 | -1.43 | 0 | 0 |
Braedon Bayer
|
G | 9 | 1.9 | 0.2 | 0.4 | 0.0 | 0.1 | 0.1 | 0.1 | 0.0 | 0.8 | 13 | 8 | 1.6 | 31.1 | 0 | 0 | 0 | 1.17 | 0 | 0 |
Adrian Autry
|
G | 3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.3 | - | - | - | - | 0.0 | 0.0 | 0 | -1.09 | 0.0 | 0.0 |
Ray Featherston
|
G | 3 | 0.7 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | - | 0 | 0 | 0 | -1.09 | 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