Boston College Eagles
2022 Team Stats (10 games)
62.0
PPG
68.2
Opp
-6.2
Margin
39.4%
FG%
28.7%
3P%
67.3%
FT%
37.4
RPG
13.0
APG
20.2
TO
86.0
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 → | 792 (#380) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 928 (#319) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.2 (#188) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.079 (#341) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-24 | vs | Northeastern Huskies | W | 57 - 46 |
| 2021-12-19 | vs | North Carolina Tar Heels | L | 73 - 76 |
| 2021-12-30 | @ | Louisville Cardinals | L | 49 - 79 |
| 2022-01-16 | vs | Louisville Cardinals | L | 53 - 63 |
| 2022-01-20 | vs | Notre Dame Fighting Irish | W | 73 - 71 |
| 2022-01-27 | @ | Georgia Tech Yellow Jackets | L | 49 - 68 |
| 2022-01-30 | @ | Notre Dame Fighting Irish | L | 61 - 74 |
| 2022-02-10 | vs | NC State Wolfpack | L | 78 - 85 |
| 2022-02-15 | vs | Pittsburgh Panthers | W | 69 - 57 |
| 2022-03-03 | vs | Florida State Seminoles | L | 58 - 63 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Swartz
|
G | 10 | 32.5 | 16.1 | 5.1 | 1.9 | 0.7 | 0.1 | 3.4 | 13.9 | 6.6 | - | - | - | 38.1 | 35.7 | 79.5 | 0.67 | 50.8 | 45.3 |
Taylor Soule
|
- | 10 | 34.9 | 14.8 | 6.0 | 1.7 | 1.5 | 0.2 | 2.1 | 12.4 | 9.7 | - | - | - | 45.2 | 0.0 | 60.0 | -0.17 | 49.2 | 45.2 |
M. Gakdeng
|
F | 10 | 29.3 | 8.3 | 6.7 | 0.9 | 1.2 | 1.9 | 2.8 | 6.6 | 9.6 | 102 | 4.4 | 40.7 | 54.5 | 0 | 57.9 | 1.32 | 55.8 | 54.5 |
M. Dickens
|
G | 8 | 25.8 | 7.1 | 2.8 | 2.6 | 0.9 | 0.0 | 3.8 | 8.0 | 1.6 | - | - | - | 32.8 | 27.0 | 83.3 | 2.52 | 42.8 | 40.6 |
M. Garraud
|
G | 10 | 30.8 | 6.2 | 3.0 | 3.2 | 0.9 | 0.2 | 3.6 | 6.7 | 3.2 | - | - | - | 32.8 | 23.3 | 80.0 | 1.16 | 43.4 | 40.3 |
A. VanTimmeren
|
F | 10 | 17.0 | 4.2 | 2.7 | 0.1 | 0.1 | 0.1 | 1.2 | 4.2 | 1.8 | 40 | 1.8 | 10.4 | 35.7 | 33.3 | 55.6 | 1.0 | 45.7 | 44.0 |
D. Waggoner
|
G | 9 | 9.7 | 2.2 | 2.3 | 0.3 | 1.1 | 0.0 | 0.7 | 3.0 | 2.3 | 204 | 8.2 | 38.3 | 33.3 | 0.0 | 66.7 | 1.97 | 35.3 | 33.3 |
J. Batts
|
G | 7 | 13.7 | 2.0 | 2.6 | 0.9 | 0.4 | 0.4 | 2.1 | 2.9 | 1.3 | -18 | -1.2 | -7.8 | 35.0 | 0 | 0 | 0.42 | 35.0 | 35.0 |
K. Ivey
|
G | 9 | 12.4 | 1.9 | 1.2 | 2.1 | 0.7 | 0.0 | 0.9 | 2.4 | 2.6 | 145 | 5.8 | 23.5 | 31.8 | 33.3 | 0 | 1.24 | 38.6 | 38.6 |
C. Ford
|
C | 7 | 5.1 | 1.4 | 0.9 | 0.1 | 0.0 | 0.1 | 0.0 | 0.9 | 1.7 | - | - | - | 83.3 | 0 | 0.0 | 0.98 | 77.6 | 83.3 |
J. Lacey
|
F | 5 | 8.2 | 1.2 | 1.4 | 0.4 | 0.4 | 0.0 | 0.6 | 2.4 | 0.4 | 45 | 4.5 | 35.3 | 8.3 | 12.5 | 75.0 | 0.3 | 21.8 | 12.5 |
A. Daley
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1 | 0.3 | 1.3 | 0 | 0 | 0 | -0.01 | 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