UMBC
2017 Team Stats (2 games)
87.0
PPG
83.5
Opp
+3.5
Margin
53.4%
FG%
38.6%
3P%
73.3%
FT%
29.5
RPG
15.5
APG
10.0
TO
-
Est. poss./game
77.5
Adj PPG
79.6
Adj Opp PPG
#200
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 | 982 (#182) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1023 (#157) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1027 (#134) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -2.6 (#203) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -3.2 (#213) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.573 (#126) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.378 (#206) | AdjNet -4.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.374 (#206) | AdjNet -4.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.453 (#200) | AdjO 77.5 | AdjD 79.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.482 (#184) | AdjO 77.9 | AdjD 78.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.472 (#187) | 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 | 0.477 (#184) | 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 (#142) | RD 97 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jairus Lyles
|
G | 20 | 34.7 | 19.9 | 6.8 | 2.5 | 1.9 | 0.1 | 2.0 | 7.5 | 21.7 | 120 | 31 | 3.9 | 4.8 | 47.0 | 30.8 | 66.7 | 0.43 | 113.9 | 51.0 |
Will Darley
|
G | 22 | 30.5 | 16.6 | 4.1 | 1.6 | 0.5 | 0.1 | 1.5 | 3.8 | 17.7 | 123 | 33 | 3.7 | 5.2 | 50.0 | 38.1 | 85.4 | 1.27 | 174.1 | 59.5 |
Joe Sherburne
|
F | 22 | 27.1 | 10.5 | 3.5 | 1.5 | 0.6 | 0.3 | 1.1 | 3.0 | 12.3 | 156 | 33 | 4.7 | 7.3 | 48.5 | 50.0 | 92.9 | 3.86 | 160.8 | 62.1 |
Rodney Elliott
|
G | 16 | 20.5 | 9.4 | 1.8 | 1.9 | 0.7 | 0.0 | 1.1 | 1.7 | 11.0 | 8 | 26 | 0.3 | 0.7 | 59.3 | 42.9 | 66.7 | -2.7 | 243.9 | 70.4 |
K.J. Maura
|
G | 22 | 32.0 | 8.5 | 3.0 | 4.4 | 1.7 | 0.0 | 1.9 | 2.2 | 13.5 | 73 | 32 | 2.3 | 3.0 | 40.8 | 42.1 | 90.9 | -2.19 | 173.7 | 49.0 |
Jourdan Grant
|
G | 22 | 20.9 | 6.5 | 3.1 | 1.6 | 0.2 | 0.1 | 1.5 | 2.2 | 7.7 | 27 | 32 | 0.8 | 1.7 | 42.9 | 37.5 | 68.0 | -1.3 | 118.3 | 45.9 |
Nolan Gerrity
|
F | 21 | 17.5 | 6.0 | 5.0 | 0.5 | 0.4 | 0.8 | 1.2 | 1.5 | 10.0 | 67 | 32 | 2.1 | 5.3 | 59.4 | 0 | 75.0 | -1.93 | 153.2 | 59.4 |
Arkel Lamar
|
F | 20 | 15.2 | 4.7 | 4.0 | 0.6 | 0.9 | 0.6 | 0.8 | 1.1 | 8.8 | 26 | 31 | 0.8 | 2.3 | 27.3 | 16.7 | 66.7 | -0.95 | 199.4 | 31.8 |
Max Curran
|
F | 15 | 6.4 | 2.3 | 1.6 | 0.1 | 0.3 | 0.5 | 0.5 | 0.5 | 3.7 | 14 | 21 | 0.7 | 4.2 | 14.3 | 0.0 | 100.0 | -1.84 | 194.1 | 14.3 |
Sam Schwietz
|
F | 13 | 9.2 | 2.1 | 2.5 | 0.3 | 0.2 | 0.5 | 0.3 | 0.2 | 5.1 | 19 | 20 | 0.9 | 4.0 | 100.0 | 0 | 0 | 0.7 | 450.0 | 100.0 |
Malcolm Brent
|
G | 10 | 5.4 | 1.8 | 0.2 | 0.1 | 0.1 | 0.0 | 0.3 | 0.8 | 1.1 | 8 | 13 | 0.6 | 4.6 | 50.0 | 66.7 | 0.0 | -1.54 | 106.6 | 62.5 |
Daquon Ervin
|
G | 6 | 3.2 | 1.5 | 0.7 | 0.7 | 0.0 | 0.0 | 0.5 | 0.2 | 2.2 | -3 | 8 | -0.4 | -3.8 | 0.0 | 0.0 | 50.0 | -1.33 | 239.4 | 0.0 |
Ben Grace
|
G | 9 | 2.8 | 0.9 | 0.2 | 0.3 | 0.0 | 0.0 | 0.6 | 0.2 | 0.7 | 14 | 10 | 1.4 | 11.7 | 50.0 | 50.0 | 100.0 | -1.09 | 138.9 | 75.0 |
Ishmail Jabbie
|
G | 5 | 1.2 | 0.0 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Joel Wincowski
|
- | 3 | 2.7 | 0.0 | 0.0 | 0.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.7 | - | - | - | - | 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