Boston University
2022 Team Stats (3 games)
77.0
PPG
66.9
Opp
+4.0
Margin
48.5%
FG%
33.3%
3P%
80.7%
FT%
37.0
RPG
14.0
APG
10.0
TO
74.7
Pace
Model Outputs
2021-2022
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 → | 944 (#581) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1061 (#273) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1011 (#167) | HCA +115 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#308) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.1 (#278) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.4 (#229) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -20.3 (#573) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.936 (#6) | NetEff +24.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.538 (#195) | AdjO 72.1 | AdjD 70.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.455 (#447) | AdjO 68.5 | AdjD 70.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.685 (#204) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.157 (#578) | 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 → | 0.656 (#200) | 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 → | 0.212 (#569) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1023 (#202) | RD 145 | GP 31 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 898 (#482) | RD 350 | GP 1 |
2022 Schedule & Results
2022 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Caldwell
|
G | 1 | 35.0 | 19.0 | 6.0 | 2.0 | 5.0 | 0.0 | 0.0 | 0.0 | 32.0 | 34 | 1.1 | 1.4 | 0 | 0 | 0 | 0.48 | 0 | 0 |
Javante McCoy
|
- | 6 | 33.3 | 17.3 | 4.3 | 3.7 | 0.7 | 0.3 | 2.7 | 9.0 | 14.7 | - | - | - | 57.4 | 41.2 | 50.0 | 0.29 | 89.0 | 63.9 |
S. Mathon
|
F | 6 | 27.5 | 15.2 | 8.8 | 1.5 | 0.3 | 1.0 | 1.8 | 6.2 | 18.8 | 89 | 2.5 | 3.3 | 51.4 | 0 | 77.1 | 0.76 | 86.8 | 51.4 |
W. Whyte
|
- | 23 | 29.7 | 12.6 | 5.8 | 1.2 | 0.8 | 0.4 | 1.8 | 1.3 | 17.7 | 94 | 3.6 | 4.9 | 56.7 | 47.4 | 88.9 | 0.61 | 427.0 | 71.7 |
J. Faison
|
- | 1 | 32.0 | 11.0 | 3.0 | 5.0 | 0.0 | 0.0 | 1.0 | 7.0 | 11.0 | 88 | 4.4 | 7.4 | 57.1 | 60.0 | 0 | 0.38 | 78.6 | 78.6 |
J. Harper
|
- | 31 | 29.4 | 7.5 | 2.3 | 1.4 | 0.9 | 0.2 | 1.2 | 1.1 | 9.9 | 77 | 2.2 | 3.0 | 45.7 | 40.9 | 100.0 | 0.57 | 299.8 | 58.6 |
N. Zink
|
- | 5 | 14.2 | 7.4 | 1.8 | 0.4 | 0.4 | 0.4 | 0.2 | 1.0 | 9.2 | 11 | 1.8 | 5.9 | 100.0 | 0 | 100.0 | 0.08 | 340.1 | 100.0 |
F. Tynen
|
- | 31 | 24.6 | 6.3 | 3.4 | 1.3 | 0.6 | 0.1 | 1.2 | 0.6 | 9.8 | -24 | -0.7 | -1.2 | 68.4 | 66.7 | 93.3 | -0.34 | 378.9 | 73.7 |
D. Tate
|
- | 3 | 9.0 | 4.7 | 0.0 | 0.0 | 0.3 | 0.0 | 0.7 | 1.0 | 3.3 | 183 | 7.6 | 11.8 | 33.3 | 0 | 0 | 1.08 | 233.3 | 33.3 |
E. Brittain-Watts
|
G | 20 | 19.2 | 4.6 | 1.2 | 0.8 | 0.5 | 0.0 | 0.9 | 0.8 | 5.2 | -40 | -1.7 | -3.5 | 29.4 | 16.7 | 100.0 | -0.86 | 257.3 | 35.3 |
A. Duhart
|
F | 1 | 32.0 | 4.0 | 2.0 | 8.0 | 1.0 | 0.0 | 3.0 | 0.0 | 12.0 | 51 | 1.6 | 2.7 | 0 | 0 | 0 | 0.89 | 0 | 0 |
C. Jones
|
- | 24 | 10.3 | 3.1 | 0.9 | 0.2 | 0.4 | 0.1 | 0.4 | 0.6 | 3.7 | -60 | -3.0 | -4.3 | 35.7 | 36.4 | 0.0 | 1.27 | 259.7 | 50.0 |
Miles Brewster
|
G | 25 | 11.3 | 2.1 | 1.0 | 0.6 | 0.4 | 0.2 | 0.6 | 0.4 | 3.2 | -80 | -2.9 | -9.9 | 0.0 | 0.0 | 50.0 | -1.05 | 221.1 | 0.0 |
M. Chimezie
|
F | 28 | 9.2 | 1.9 | 2.6 | 0.3 | 0.2 | 0.3 | 0.4 | 0.3 | 4.6 | -26 | -0.8 | -3.7 | 44.4 | 0 | 0.0 | -0.52 | 250.9 | 44.4 |
Anthony Morales
|
- | 6 | 8.7 | 1.2 | 1.7 | 0.8 | 0.2 | 0.8 | 1.0 | 2.7 | 1.0 | 37 | 1.3 | 5.3 | 12.5 | 12.5 | 0 | 0.37 | 21.9 | 15.6 |
Garrett Pascoe
|
G | 5 | 13.6 | 1.0 | 1.2 | 0.8 | 0.4 | 0.2 | 0.6 | 1.0 | 2.0 | - | - | - | 20.0 | 50.0 | 0 | -0.3 | 50.0 | 30.0 |
T. Uzoegbu
|
- | 5 | 1.6 | 0.6 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Andrew Patnode
|
- | 7 | 2.6 | 0.6 | 0.3 | 0.3 | 0.0 | 0.0 | 0.1 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
G. Hammond
|
G | 1 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 50 | 3.3 | 17.3 | 0.0 | 0 | 0 | 0.19 | 0.0 | 0.0 |
J. Tab
|
- | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Warner
|
- | 1 | 7.0 | 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