Boston University
2017 Team Stats (1 games)
75.0
PPG
61.0
Opp
+14.0
Margin
45.5%
FG%
34.6%
3P%
61.5%
FT%
41.0
RPG
15.0
APG
16.0
TO
-
Est. poss./game
71.7
Adj PPG
72.7
Adj Opp PPG
#185
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 | 912 (#213) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 997 (#181) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1025 (#138) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -1.3 (#187) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -1.1 (#181) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.549 (#142) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.447 (#184) | AdjNet -1.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.446 (#184) | AdjNet -1.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.478 (#185) | AdjO 71.7 | AdjD 72.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.500 (#169) | AdjO 71.8 | AdjD 71.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.476 (#183) | 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 | 0.481 (#181) | 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 | 974 (#188) | RD 142 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Eric Fanning
|
G | 18 | 28.9 | 16.2 | 7.3 | 2.2 | 1.0 | 0.3 | 2.8 | 3.4 | 20.8 | 101 | 31 | 3.3 | 5.0 | 40.3 | 37.5 | 74.4 | 2.93 | 184.4 | 45.2 |
Justin Alston
|
F | 18 | 23.5 | 13.0 | 5.9 | 0.8 | 0.4 | 0.7 | 1.9 | 2.1 | 16.8 | 47 | 31 | 1.5 | 2.6 | 64.9 | 0 | 77.3 | -2.1 | 250.6 | 64.9 |
Cedric Hankerson
|
G | 18 | 27.8 | 10.6 | 2.3 | 1.2 | 1.9 | 0.1 | 1.0 | 2.4 | 12.6 | 39 | 30 | 1.3 | 1.9 | 22.7 | 22.2 | 37.5 | -0.15 | 201.0 | 31.8 |
Cheddi Mosely
|
G | 6 | 22.5 | 9.2 | 2.3 | 2.3 | 0.2 | 0.3 | 1.7 | 1.7 | 11.0 | - | - | - | - | 50.0 | 42.9 | 0 | - | 275.0 | 65.0 |
Tyler Scanlon
|
F | 18 | 25.6 | 8.7 | 3.3 | 1.1 | 0.9 | 0.2 | 0.7 | 1.3 | 12.2 | 92 | 31 | 3.0 | 5.1 | 34.8 | 38.9 | 50.0 | 2.34 | 326.6 | 50.0 |
Max Mahoney
|
F | 11 | 13.7 | 6.6 | 4.2 | 0.5 | 0.4 | 0.2 | 1.1 | 1.3 | 9.5 | 15 | 22 | 0.7 | 2.6 | 78.6 | 0 | 54.5 | -0.49 | 193.7 | 78.6 |
Nick Havener
|
F | 16 | 18.1 | 6.1 | 5.9 | 1.1 | 0.6 | 0.5 | 1.4 | 2.1 | 10.8 | 14 | 27 | 0.5 | 1.3 | 61.8 | 0 | 66.7 | 0.72 | 129.1 | 61.8 |
Kyle Foreman
|
G | 17 | 25.2 | 5.7 | 2.2 | 4.6 | 1.6 | 0.2 | 2.1 | 1.6 | 10.6 | 66 | 29 | 2.3 | 3.7 | 35.7 | 28.6 | 55.6 | -0.31 | 151.8 | 42.9 |
Eric Johnson
|
G | 15 | 18.9 | 4.5 | 1.9 | 2.3 | 0.6 | 0.1 | 1.2 | 0.9 | 7.3 | -4 | 26 | -0.2 | -0.4 | 28.6 | 22.2 | 50.0 | -2.21 | 228.5 | 35.7 |
Destin Barnes
|
F | 6 | 14.8 | 3.7 | 1.5 | 0.5 | 0.7 | 0.5 | 1.0 | 0.2 | 5.7 | - | - | - | - | 0.0 | 0 | 0 | - | 1100.0 | 0.0 |
Will Goff
|
G | 16 | 14.4 | 3.2 | 1.8 | 0.6 | 0.4 | 0.0 | 1.1 | 0.8 | 4.1 | 27 | 27 | 1.0 | 2.9 | 30.8 | 27.3 | 50.0 | -1.37 | 176.2 | 42.3 |
Blaise Mbargorba
|
C | 5 | 7.4 | 1.6 | 1.0 | 0.0 | 0.0 | 0.2 | 0.4 | 0.8 | 1.6 | - | - | - | - | 75.0 | 0 | 0 | - | 100.0 | 75.0 |
Cameron Curry
|
G | 5 | 2.6 | 0.8 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Dylan Haines
|
F | 12 | 5.5 | 0.8 | 1.2 | 0.1 | 0.0 | 0.2 | 0.4 | 0.4 | 1.4 | - | - | - | - | 0.0 | 0.0 | 66.7 | - | 71.2 | 0.0 |
Kamali Chambers
|
G | 8 | 4.6 | 0.8 | 0.2 | 0.4 | 0.0 | 0.0 | 0.2 | 0.1 | 1.0 | 4 | 15 | 0.3 | 2.0 | 100.0 | 0 | 0 | -1.33 | 300.0 | 100.0 |
Brandon Johnson
|
- | 5 | 1.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -0.2 | - | - | - | - | 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