Yale Bulldogs
2022 Team Stats (4 games)
53.8
PPG
56.8
Opp
-3.0
Margin
36.7%
FG%
27.8%
3P%
65.8%
FT%
33.5
RPG
12.5
APG
15.0
TO
76.4
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 → | 971 (#269) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 974 (#260) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.9 (#260) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.178 (#297) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-24 | @ | Boston University Terriers | W | 57 - 51 |
| 2021-12-14 | @ | Drexel Dragons | L | 52 - 59 |
| 2021-12-28 | vs | Army Black Knights | W | 68 - 50 |
| 2022-03-11 | @ | Columbia Lions | L | 38 - 67 |
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. Emsbo
|
F | 4 | 36.0 | 16.2 | 11.5 | 1.2 | 1.8 | 2.5 | 2.5 | 12.5 | 18.2 | -25 | -1.4 | -9.1 | 54.0 | 33.3 | 66.7 | 0.39 | 57.4 | 55.0 |
J. Clark
|
G | 4 | 33.8 | 10.5 | 3.0 | 5.5 | 1.0 | 0.8 | 3.0 | 13.2 | 4.5 | -22 | -1.5 | -10.1 | 32.1 | 28.6 | 100.0 | 0.6 | 39.0 | 37.7 |
K. Astrom
|
G | 4 | 31.2 | 9.0 | 2.2 | 2.0 | 2.0 | 0.2 | 2.5 | 8.5 | 4.5 | -77 | -5.5 | -33.8 | 32.4 | 35.3 | 88.9 | -0.18 | 47.4 | 41.2 |
C. McCann
|
G | 4 | 32.5 | 6.5 | 1.8 | 1.2 | 0.8 | 0.2 | 0.2 | 7.8 | 2.5 | -21 | -1.9 | -9.8 | 32.3 | 26.3 | 50.0 | 0.45 | 40.8 | 40.3 |
A. Cade
|
F | 3 | 22.7 | 4.3 | 5.7 | 1.0 | 0.3 | 0.0 | 3.0 | 4.3 | 4.0 | - | - | - | 46.2 | 0 | 16.7 | 0.16 | 41.6 | 46.2 |
R. Gallagher
|
G | 3 | 17.3 | 3.0 | 2.7 | 1.0 | 0.3 | 0.0 | 1.0 | 3.7 | 2.3 | - | - | - | 36.4 | 0 | 50.0 | 0.82 | 37.9 | 36.4 |
A. Lee
|
G | 3 | 12.3 | 2.7 | 1.0 | 0.3 | 0.0 | 0.0 | 1.0 | 4.0 | -1.0 | -17 | -1.4 | -7.8 | 25.0 | 33.3 | 0 | 1.3 | 33.3 | 33.3 |
M. Egger
|
G | 4 | 5.0 | 2.2 | 0.8 | 0.0 | 0.5 | 0.0 | 1.0 | 1.5 | 1.0 | 14 | 0.7 | 4.5 | 50.0 | 100.0 | 100.0 | 0.88 | 65.4 | 58.3 |
G. Thybulle
|
F | 3 | 8.0 | 1.3 | 1.0 | 0.7 | 0.3 | 0.0 | 0.7 | 1.7 | 1.0 | -2 | -0.2 | -1.5 | 40.0 | 0 | 0 | 0.27 | 40.0 | 40.0 |
E. van der Maas
|
G | 3 | 7.3 | 1.0 | 1.3 | 0.0 | 0.7 | 0.0 | 1.0 | 2.7 | -0.7 | - | - | - | 12.5 | 12.5 | 0 | 0.59 | 18.8 | 18.8 |
R. Nesbitt
|
G | 2 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | 0.0 | 0 | 0 | -0.14 | 0.0 | 0.0 |
H. Sabol
|
F | 2 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.5 | 0.0 | 2.0 | -0.5 | -42 | -4.2 | -19.1 | 0.0 | 0.0 | 0 | 0.33 | 0.0 | 0.0 |
B. McDonald
|
F | 3 | 2.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 44 | 6.3 | 27.7 | 0 | 0 | 0 | 0.45 | 0 | 0 |
N. McGill
|
G | 3 | 5.7 | 0.0 | 1.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.3 | 1.3 | -48 | -6.0 | -25.4 | 0.0 | 0 | 0 | 0.27 | 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