Harvard Crimson
2024 Team Stats (27 games)
70.4
PPG
71.7
Opp
-1.3
Margin
43.9%
FG%
33.6%
3P%
70.2%
FT%
34.9
RPG
13.0
APG
12.1
TO
76.9
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 → | 1101 (#176) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1099 (#210) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +19.7 (#210) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.257 (#98) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.401 (#248) | NetEff -3.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.072 (#114) | AdjNet -22.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.071 (#114) | AdjNet -22.3 |
2024 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Mack
|
- | 24 | 33.3 | 17.2 | 4.0 | 4.8 | 1.3 | 0.1 | 2.5 | 13.6 | 11.3 | - | - | - | 41.0 | 34.1 | 81.3 | - | 54.2 | 47.9 |
C. Okpara
|
F | 26 | 30.5 | 16.5 | 5.0 | 2.0 | 0.8 | 0.7 | 2.4 | 11.8 | 10.9 | - | - | - | 47.9 | 33.8 | 67.3 | - | 56.8 | 52.3 |
L. Lesmond
|
- | 27 | 33.0 | 9.8 | 3.0 | 1.0 | 0.7 | 0.4 | 0.7 | 8.5 | 5.6 | - | - | - | 38.7 | 37.9 | 68.8 | - | 54.1 | 52.6 |
J. Ajogbor
|
C | 20 | 23.1 | 8.4 | 6.5 | 0.6 | 0.2 | 2.9 | 1.7 | 6.7 | 10.2 | - | - | - | 54.9 | 0 | 47.8 | - | 54.8 | 54.9 |
C. Pigge
|
- | 25 | 29.1 | 8.1 | 5.0 | 1.6 | 1.3 | 0.3 | 1.9 | 6.7 | 7.7 | - | - | - | 45.2 | 24.6 | 81.8 | - | 53.9 | 49.4 |
T. Batties II
|
- | 22 | 25.5 | 6.8 | 4.2 | 0.8 | 0.7 | 0.5 | 1.0 | 5.6 | 6.4 | -101 | -5.6 | -24.7 | 41.5 | 30.2 | 68.1 | -0.39 | 52.2 | 48.0 |
T. Simon
|
- | 24 | 13.8 | 4.3 | 2.1 | 1.0 | 0.7 | 0.2 | 0.7 | 3.1 | 4.6 | - | - | - | 44.0 | 36.7 | 87.0 | - | 61.1 | 56.0 |
D. Wojcik
|
- | 23 | 15.6 | 2.5 | 1.7 | 1.9 | 0.5 | 0.1 | 0.9 | 2.3 | 3.4 | - | - | - | 38.9 | 26.3 | 73.3 | - | 47.9 | 43.5 |
X. Nesbitt
|
- | 19 | 8.0 | 2.2 | 0.7 | 0.5 | 0.3 | 0.1 | 0.5 | 2.2 | 1.1 | - | - | - | 34.1 | 34.6 | 80.0 | - | 47.5 | 45.1 |
L. Ace-Nasteski
|
- | 25 | 12.3 | 2.2 | 3.1 | 0.3 | 0.3 | 0.0 | 0.5 | 1.7 | 3.8 | - | - | - | 50.0 | 25.0 | 46.2 | - | 51.5 | 51.2 |
M. Filipowski
|
- | 2 | 3.5 | 1.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.5 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
G. Cooper
|
- | 11 | 1.9 | 0.5 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.3 | 0.3 | - | - | - | 66.7 | 50.0 | 0 | - | 83.3 | 83.3 |
C. Rich
|
- | 13 | 2.2 | 0.5 | 0.3 | 0.0 | 0.2 | 0.0 | 0.0 | 0.6 | 0.3 | - | - | - | 25.0 | 0.0 | 50.0 | - | 30.7 | 25.0 |
P. Pitts
|
- | 8 | 1.1 | 0.2 | 0.0 | 0.0 | 0.1 | 0.0 | 0.2 | 0.4 | -0.2 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
E. Nelson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -1 | -0.2 | -4.5 | - | - | - | -0.07 | - | - |
S. Silverstein
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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