Yale Bulldogs
2025 Team Stats (3 games)
48.3
PPG
63.7
Opp
-15.4
Margin
34.2%
FG%
20.4%
3P%
67.6%
FT%
35.0
RPG
9.7
APG
18.0
TO
77.1
Pace
55.5
AdjO
71.4
AdjD
#319
Rank
Model Outputs
2024-2025
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 → | 790 (#307) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 705 (#334) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -16.5 (#319) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.040 (#351) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.040 (#350) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.050 (#326) | AdjNet -25.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.047 (#327) | AdjNet -25.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.191 (#319) | AdjO 55.5 | AdjD 71.4 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-01-31 | vs | Princeton Tigers | L | 38 - 74 |
| 2025-02-14 | @ | Pennsylvania Quakers | L | 59 - 71 |
| 2025-02-28 | @ | Cornell Big Red | W | 48 - 46 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Egger
|
G | 3 | 35.7 | 17.7 | 11.0 | 2.3 | 2.0 | 0.0 | 5.0 | 15.7 | 12.3 | -148 | -5.7 | -5.6 | 40.4 | 33.3 | 85.7 | -0.68 | 49.8 | 43.6 |
K. Capstraw
|
F | 3 | 32.7 | 7.3 | 3.7 | 2.3 | 1.0 | 0.3 | 3.3 | 7.7 | 3.7 | -147 | -5.4 | -6.4 | 43.5 | 14.3 | 50.0 | -0.67 | 46.1 | 45.7 |
A. Lee
|
G | 3 | 28.0 | 5.7 | 3.3 | 2.3 | 1.3 | 0.0 | 2.0 | 5.3 | 5.3 | 66 | 3.0 | 4.5 | 31.2 | 36.4 | 75.0 | 0.75 | 47.9 | 43.8 |
C. Moore
|
G | 3 | 13.0 | 4.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.3 | 5.0 | 0.0 | -8 | -0.3 | -0.3 | 40.0 | 33.3 | 25.0 | -0.12 | 41.8 | 43.3 |
G. Thybulle
|
F | 3 | 25.0 | 4.3 | 5.3 | 1.3 | 1.0 | 0.0 | 1.3 | 5.3 | 5.3 | -70 | -3.2 | -5.0 | 25.0 | 0 | 71.4 | 0.13 | 34.1 | 25.0 |
A. Guillen
|
F | 3 | 17.3 | 4.3 | 3.0 | 0.3 | 1.7 | 0.3 | 2.0 | 3.7 | 4.0 | -16 | -0.7 | -1.5 | 54.5 | 0.0 | 50.0 | 0.32 | 54.7 | 54.5 |
M. Chapman
|
G | 3 | 21.7 | 2.7 | 1.7 | 0.3 | 1.3 | 0.0 | 2.0 | 4.7 | -0.7 | -85 | -3.3 | -4.8 | 21.4 | 0.0 | 66.7 | 0.19 | 26.1 | 21.4 |
A. Long
|
G | 3 | 10.3 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 2.3 | -1.3 | 5 | 0.2 | 0.7 | 14.3 | 14.3 | 0 | 0.18 | 21.4 | 21.4 |
K. Odume
|
G | 3 | 10.7 | 0.7 | 1.0 | 0.3 | 0.0 | 0.0 | 0.7 | 3.3 | -2.0 | -38 | -1.5 | -3.3 | 10.0 | 0.0 | 0.0 | 0.18 | 9.6 | 10.0 |
L. Lesmond
|
G | 1 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -20 | -1.5 | -9.8 | 0.0 | 0.0 | 0 | -0.73 | 0.0 | 0.0 |
L. Lynn
|
G | 1 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -45 | -3.0 | -10.0 | 0.0 | 0.0 | 0 | -0.43 | 0.0 | 0.0 |
M. Schmidt
|
G | 2 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -28 | -1.3 | -5.3 | 0 | 0 | 0 | -0.34 | 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