Harvard Crimson
2024 Team Stats (4 games)
62.8
PPG
74.5
Opp
-11.7
Margin
36.2%
FG%
32.7%
3P%
81.0%
FT%
33.8
RPG
12.5
APG
15.5
TO
83.6
Pace
Model Outputs
2023-2024
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 → | 1103 (#106) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1123 (#126) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.0 (#68) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.608 (#148) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.414 (#58) | AdjNet -3.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.416 (#58) | AdjNet -2.9 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-06 | @ | Maryland Terrapins | L | 75 - 98 |
| 2023-11-19 | @ | Baylor Bears | L | 71 - 81 |
| 2023-12-28 | @ | Rhode Island Rams | L | 56 - 59 |
| 2024-03-01 | @ | Princeton Tigers | L | 49 - 60 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Turner
|
G | 3 | 37.3 | 22.3 | 7.3 | 4.7 | 2.0 | 0.0 | 4.0 | 25.0 | 7.3 | -34 | -4.9 | -4.5 | 32.0 | 26.9 | 80.0 | -0.37 | 41.1 | 36.7 |
L. Mullaney
|
G | 4 | 37.2 | 15.8 | 2.0 | 1.5 | 1.2 | 0.2 | 2.0 | 12.5 | 6.2 | -8 | -1.1 | -1.1 | 44.0 | 46.9 | 80.0 | -0.08 | 60.3 | 59.0 |
K. Krupa
|
F | 4 | 28.2 | 8.2 | 3.5 | 2.2 | 0.5 | 0.5 | 0.8 | 7.2 | 7.0 | -26 | -3.7 | -4.8 | 41.4 | 38.9 | 100.0 | -0.16 | 55.2 | 53.4 |
E. Rodriguez
|
G | 4 | 26.5 | 8.2 | 5.8 | 2.8 | 1.5 | 0.8 | 3.8 | 6.5 | 8.8 | -5 | -1.0 | -1.2 | 53.8 | 20.0 | 66.7 | 0.19 | 57.6 | 55.8 |
G. Anderson
|
G | 2 | 22.5 | 5.0 | 4.0 | 0.5 | 1.0 | 0.0 | 0.5 | 6.0 | 4.0 | -10 | -1.4 | -2.6 | 41.7 | 0.0 | 0 | 0.15 | 41.7 | 41.7 |
A. Wright
|
F | 4 | 16.8 | 3.8 | 4.5 | 0.2 | 0.0 | 0.5 | 1.2 | 4.5 | 3.2 | 15 | 2.1 | 3.8 | 27.8 | 0.0 | 83.3 | 0.33 | 36.3 | 27.8 |
K. White
|
G | 4 | 17.0 | 2.5 | 2.0 | 0.5 | 0.2 | 0.2 | 1.2 | 3.8 | 0.5 | 68 | 9.7 | 11.4 | 20.0 | 0.0 | 100.0 | 0.69 | 29.8 | 20.0 |
S. Glenn-Bello
|
G | 4 | 23.8 | 2.2 | 3.0 | 1.0 | 0.0 | 0.2 | 1.8 | 4.2 | 0.5 | - | - | - | 23.5 | 20.0 | 0 | - | 26.5 | 26.5 |
M. Hollensteiner
|
F | 3 | 5.7 | 2.0 | 0.3 | 0.0 | 0.7 | 0.0 | 0.0 | 2.0 | 1.0 | - | - | - | 33.3 | 40.0 | 0 | - | 50.0 | 50.0 |
M. Zaric
|
F | 4 | 7.0 | 1.2 | 1.0 | 0.5 | 0.2 | 0.0 | 0.5 | 1.5 | 1.0 | -8 | -1.0 | -2.2 | 16.7 | 0.0 | 75.0 | -0.18 | 32.2 | 16.7 |
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