Yale
2023 Team Stats (18 games)
75.0
PPG
65.0
Opp
+7.8
Margin
47.6%
FG%
38.8%
3P%
69.3%
FT%
35.5
RPG
13.6
APG
10.8
TO
76.5
Pace
Model Outputs
2022-2023
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 → | 1330 (#55) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1326 (#68) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +31.5 (#90) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.806 (#6) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.730 (#47) | NetEff +9.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.815 (#17) | AdjNet +12.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.815 (#17) | AdjNet +12.8 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-11 | @ | Eastern Washington Eagles | W | 74 - 60 |
| 2022-11-22 | vs | Vermont Catamounts | W | 73 - 44 |
| 2022-11-27 | @ | Colorado Buffaloes | L | 62 - 65 |
| 2022-11-30 | vs | Howard Bison | W | 86 - 40 |
| 2022-12-03 | @ | Stony Brook Seawolves | W | 77 - 72 |
| 2022-12-10 | @ | Kentucky Wildcats | L | 59 - 69 |
| 2023-01-06 | vs | Dartmouth Big Green | L | 77 - 81 |
| 2023-01-07 | vs | Harvard Crimson | W | 58 - 54 |
| 2023-01-13 | @ | Cornell Big Red | L | 82 - 94 |
| 2023-01-16 | vs | Brown Bears | W | 81 - 78 |
| 2023-01-21 | vs | Pennsylvania Quakers | W | 70 - 63 |
| 2023-01-28 | vs | Princeton Tigers | W | 87 - 65 |
| 2023-02-03 | @ | Harvard Crimson | W | 68 - 57 |
| 2023-02-04 | @ | Dartmouth Big Green | W | 72 - 53 |
| 2023-02-17 | @ | Pennsylvania Quakers | L | 64 - 66 |
| 2023-02-25 | vs | Cornell Big Red | W | 76 - 58 |
| 2023-03-04 | @ | Brown Bears | W | 84 - 75 |
| 2023-03-11 | vs | Cornell Big Red | W | 80 - 60 |
| 2023-03-12 | vs | Princeton Tigers | L | 65 - 74 |
| 2023-03-14 | @ | Vanderbilt Commodores | L | 62 - 71 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Knowling
|
- | 17 | 28.1 | 12.3 | 4.2 | 2.6 | 0.8 | 0.2 | 1.5 | 6.4 | 12.2 | - | - | - | 61.1 | 0 | 53.3 | - | 86.2 | 61.1 |
John Poulakidas
|
- | 20 | 30.1 | 11.9 | 3.1 | 1.2 | 0.7 | 0.5 | 1.1 | 7.7 | 8.8 | - | - | - | 37.3 | 38.5 | 86.5 | 0.02 | 70.6 | 48.7 |
August Mahoney
|
- | 20 | 29.4 | 11.5 | 3.4 | 1.6 | 0.8 | 0.1 | 1.1 | 6.0 | 10.2 | - | - | - | 54.2 | 47.1 | 87.5 | - | 83.6 | 67.5 |
Bez Mbeng
|
- | 20 | 30.1 | 11.4 | 4.2 | 3.1 | 1.6 | 0.1 | 2.5 | 7.5 | 10.2 | - | - | - | 47.7 | 39.6 | 61.7 | - | 64.3 | 54.0 |
EJ Jarvis
|
- | 20 | 23.2 | 11.3 | 5.8 | 0.5 | 0.8 | 1.5 | 1.4 | 7.0 | 11.4 | - | - | - | 49.6 | 47.4 | 69.2 | - | 69.0 | 52.8 |
I. Kelly
|
- | 20 | 18.6 | 6.2 | 3.5 | 1.3 | 0.1 | 0.6 | 1.3 | 3.0 | 7.5 | - | - | - | 61.7 | 42.9 | 58.1 | - | 84.9 | 64.2 |
Y. Gharram
|
- | 20 | 15.7 | 3.5 | 2.9 | 2.2 | 0.9 | 0.1 | 1.2 | 2.2 | 6.0 | - | - | - | 40.0 | 16.7 | 62.1 | 0.02 | 59.7 | 42.2 |
Jack Molloy
|
- | 19 | 13.0 | 3.2 | 2.2 | 0.8 | 0.2 | 0.1 | 0.3 | 2.9 | 3.2 | - | - | - | 32.7 | 26.7 | 57.1 | - | 52.5 | 40.0 |
Danny Wolf
|
- | 14 | 6.8 | 2.2 | 1.9 | 0.5 | 0.2 | 0.3 | 0.4 | 2.3 | 2.4 | - | - | - | 37.5 | 38.5 | 50.0 | 0.05 | 47.1 | 45.3 |
D. Arlington
|
- | 2 | 2.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 1.0 | -27 | -4.5 | -8.5 | 0.0 | 0 | 0 | -0.05 | 150.0 | 0.0 |
M. Feinberg
|
- | 16 | 8.4 | 1.4 | 2.1 | 0.6 | 0.2 | 0.0 | 0.2 | 0.9 | 3.1 | - | - | - | 26.7 | 20.0 | 33.3 | - | 62.4 | 30.0 |
N. Townsend
|
- | 6 | 2.8 | 0.7 | 0.3 | 0.0 | 0.2 | 0.0 | 0.0 | 0.5 | 0.7 | 27 | 2.5 | 3.9 | 33.3 | 0.0 | 0 | 1.12 | 66.7 | 33.3 |
E. Buyukhanli
|
- | 6 | 2.7 | 0.5 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 1.2 | - | - | - | 0.0 | 0 | 0 | - | 150.0 | 0.0 |
Teo Rice
|
- | 6 | 3.0 | 0.5 | 1.2 | 0.3 | 0.0 | 0.0 | 0.2 | 0.5 | 1.3 | - | - | - | 33.3 | 50.0 | 0 | - | 50.0 | 50.0 |
L. Kolaja
|
- | 4 | 3.8 | 0.5 | 1.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.5 | 1.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
Y. Basa-Ama
|
F | 6 | 5.3 | 0.3 | 1.5 | 0.0 | 0.5 | 0.2 | 0.3 | 0.2 | 2.0 | - | - | - | 0.0 | 0 | 0 | - | 100.0 | 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