Dartmouth Big Green
2024 Team Stats (2 games)
53.0
PPG
65.5
Opp
-12.5
Margin
34.5%
FG%
28.1%
3P%
77.8%
FT%
36.0
RPG
7.5
APG
13.0
TO
73.9
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 → | 982 (#219) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1028 (#213) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.5 (#326) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.428 (#214) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.011 (#104) | AdjNet -38.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.011 (#104) | AdjNet -38.7 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-08 | vs | Navy Midshipmen | W | 65 - 52 |
| 2024-03-01 | @ | Pennsylvania Quakers | L | 41 - 79 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Ariik
|
F | 1 | 37.0 | 13.0 | 15.0 | 0.0 | 0.0 | 1.0 | 4.0 | 12.0 | 13.0 | - | - | - | 50.0 | 0 | 50.0 | - | 50.5 | 50.0 |
N. Minicozzi
|
G | 2 | 30.5 | 12.5 | 5.0 | 1.5 | 1.0 | 0.0 | 0.5 | 8.0 | 11.5 | -85 | -14.2 | -13.8 | 50.0 | 50.0 | 83.3 | -0.84 | 67.1 | 62.5 |
V. Page
|
G | 2 | 37.0 | 7.5 | 4.0 | 1.5 | 2.0 | 0.0 | 2.5 | 9.0 | 3.5 | -92 | -15.3 | -17.3 | 33.3 | 0.0 | 75.0 | -1.05 | 38.0 | 33.3 |
M. Curtis
|
G | 2 | 29.5 | 6.5 | 2.0 | 1.0 | 0.0 | 0.0 | 2.0 | 10.5 | -3.0 | -79 | -13.2 | -12.1 | 23.8 | 10.0 | 66.7 | -0.63 | 29.1 | 26.2 |
M. Boyd
|
G | 2 | 20.5 | 6.0 | 4.0 | 0.5 | 0.0 | 0.0 | 2.0 | 2.0 | 6.5 | -41 | -6.8 | -11.5 | 75.0 | 66.7 | 100.0 | -0.44 | 104.2 | 100.0 |
C. Meyer
|
F | 2 | 27.0 | 5.0 | 4.5 | 2.5 | 0.0 | 0.0 | 3.0 | 8.5 | 0.5 | -75 | -12.5 | -12.0 | 29.4 | 0 | 0 | -0.67 | 29.4 | 29.4 |
C. MacDonald
|
F | 2 | 14.5 | 4.5 | 3.0 | 0.0 | 0.5 | 0.0 | 0.0 | 5.5 | 2.5 | -29 | -4.8 | -21.0 | 27.3 | 0 | 75.0 | -0.23 | 35.3 | 27.3 |
C. Washburn
|
G | 2 | 12.0 | 3.0 | 1.0 | 0.5 | 0.5 | 0.0 | 0.5 | 1.5 | 3.0 | -37 | -6.2 | -7.0 | 66.7 | 66.7 | 0 | -0.27 | 100.0 | 100.0 |
O. Lawlor
|
F | 1 | 7.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | - | - | - | 0.0 | 0 | 75.0 | - | 31.5 | 0.0 |
L. Stuart
|
G | 2 | 2.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
C. Foltz
|
G | 2 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Tate
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
L. Banovic
|
F | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 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