Boston College
2026 Team Stats (28 games)
66.7
PPG
70.7
Opp
-4.0
Margin
40.8%
FG%
29.2%
3P%
63.7%
FT%
36.7
RPG
11.4
APG
10.4
TO
77.0
Pace
70.8
AdjO
67.8
AdjD
#131
Rank
Model Outputs
2025-2026
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 → | 942 (#223) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 896 (#257) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 899 (#672) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.4 (#135) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.1 (#170) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.368 (#254) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.633 (#133) | NetEff +4.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.596 (#136) | AdjNet +3.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.600 (#135) | AdjNet +3.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.568 (#131) | AdjO 70.8 | AdjD 67.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.448 (#499) | AdjO 66.9 | AdjD 69.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.718 (#209) | 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 → | 0.657 (#225) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 977 (#257) | RD 153 | GP 28 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F. Payne
|
G | 28 | 34.4 | 15.5 | 4.2 | 2.6 | 1.1 | 0.2 | 1.5 | 14.6 | 7.5 | -5 | -0.2 | -0.3 | 39.8 | 29.7 | 76.5 | 0.04 | 49.4 | 46.7 |
D. Hand Jr.
|
G | 25 | 30.4 | 12.2 | 4.5 | 1.3 | 0.6 | 0.1 | 1.8 | 11.4 | 5.6 | -14 | -0.7 | -1.3 | 32.4 | 21.8 | 70.2 | 0.39 | 44.6 | 37.5 |
B. Kapke
|
F | 28 | 27.7 | 11.0 | 5.9 | 0.8 | 0.4 | 0.3 | 1.4 | 8.7 | 8.4 | -81 | -3.9 | -7.3 | 48.1 | 34.9 | 69.7 | -0.48 | 56.8 | 54.1 |
J. Hastings
|
F | 28 | 21.8 | 6.8 | 5.5 | 0.7 | 0.5 | 1.5 | 0.9 | 4.4 | 9.7 | 75 | 3.6 | 8.2 | 61.0 | 0.0 | 48.2 | 1.07 | 59.6 | 61.0 |
L. Toews
|
G | 26 | 21.8 | 6.4 | 1.7 | 2.3 | 0.3 | 0.1 | 1.2 | 6.0 | 3.6 | -3 | -0.2 | -0.4 | 42.3 | 40.0 | 50.0 | 0.28 | 51.5 | 51.3 |
C. Forte
|
G | 28 | 23.6 | 5.6 | 2.4 | 2.9 | 0.9 | 0.2 | 1.2 | 5.6 | 5.1 | -13 | -0.6 | -1.4 | 33.1 | 26.9 | 54.2 | 0.03 | 42.9 | 39.8 |
A. Shaw
|
G | 28 | 25.8 | 4.5 | 6.3 | 0.7 | 0.6 | 1.2 | 1.0 | 3.3 | 8.9 | 18 | 0.9 | 1.5 | 52.7 | 14.3 | 59.1 | 0.66 | 56.1 | 53.8 |
C. Steger
|
- | 28 | 11.5 | 3.5 | 1.1 | 0.2 | 0.2 | 0.1 | 0.4 | 3.1 | 1.5 | 0 | 0.0 | 0.0 | 34.1 | 31.9 | 63.6 | 0.36 | 49.7 | 47.2 |
J. Asemota
|
- | 18 | 7.0 | 2.7 | 1.6 | 0.1 | 0.1 | 0.3 | 0.4 | 2.1 | 2.3 | 3 | 0.2 | 1.4 | 40.5 | 38.5 | 80.0 | 0.02 | 58.0 | 54.1 |
M. Radunovic
|
- | 16 | 9.5 | 2.2 | 1.9 | 0.2 | 0.1 | 0.1 | 0.9 | 3.2 | 0.5 | -1 | -0.1 | -0.3 | 25.5 | 23.1 | 50.0 | 0.09 | 32.6 | 31.4 |
K. Tchanda
|
- | 4 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.8 | 0.0 | -22 | -5.5 | -53.4 | 0.0 | 0.0 | 0 | -0.35 | 0.0 | 0.0 |
Jack Bailey
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -52 | -4.0 | -24.2 | - | - | - | 1.4 | - | - |
J. Di Donna
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Akbar Waheed III
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 63 | 2.7 | 4.2 | 0 | 0 | 0 | 0.34 | 0 | 0 |
Nick Petronio
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
W. Eggemeier
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | 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