Dartmouth Big Green
2022 Team Stats (4 games)
47.8
PPG
67.8
Opp
-20.0
Margin
31.6%
FG%
23.5%
3P%
66.7%
FT%
38.0
RPG
10.0
APG
17.8
TO
79.4
Pace
Model Outputs
2021-2022
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 → | 989 (#216) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 967 (#269) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.3 (#328) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.428 (#208) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-30 | @ | Drexel Dragons | L | 44 - 67 |
| 2021-12-13 | @ | UTSA Roadrunners | L | 39 - 49 |
| 2021-12-28 | vs | Massachusetts Minutewomen | - | Preview |
| 2022-02-08 | @ | Brown Bears | L | 56 - 70 |
| 2022-03-04 | vs | Harvard Crimson | L | 52 - 85 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Niekelski
|
F | 4 | 15.5 | 8.2 | 4.0 | 0.2 | 0.5 | 0.0 | 1.5 | 7.5 | 4.0 | - | - | - | 46.7 | 37.5 | 50.0 | 0.38 | 52.0 | 51.7 |
M. Curtis
|
G | 3 | 21.7 | 7.7 | 2.0 | 1.3 | 0.3 | 0.0 | 2.7 | 7.3 | 1.3 | -173 | -10.2 | -82.2 | 31.8 | 23.1 | 85.7 | 0.28 | 45.9 | 38.6 |
D. Ariik
|
F | 4 | 19.0 | 5.8 | 6.8 | 0.5 | 0.5 | 0.8 | 0.8 | 6.5 | 7.0 | -14 | -0.7 | -5.8 | 38.5 | 0 | 50.0 | 0.48 | 40.2 | 38.5 |
C. Washburn
|
G | 4 | 21.2 | 5.2 | 4.8 | 0.5 | 0.8 | 1.2 | 2.0 | 5.5 | 5.0 | -72 | -3.6 | -18.5 | 31.8 | 28.6 | 71.4 | 0.44 | 41.9 | 36.4 |
M. Boyd
|
G | 4 | 25.0 | 5.0 | 3.8 | 2.0 | 1.2 | 0.0 | 2.0 | 6.2 | 3.8 | -43 | -2.0 | -14.6 | 24.0 | 42.9 | 83.3 | 0.75 | 36.2 | 30.0 |
A. Harland
|
G | 4 | 14.0 | 4.8 | 0.5 | 0.8 | 0.2 | 0.0 | 0.8 | 3.0 | 2.5 | - | - | - | 58.3 | 62.5 | 0 | -0.21 | 79.2 | 79.2 |
J. Abejon
|
G | 4 | 17.5 | 2.8 | 1.5 | 1.5 | 0.5 | 0.2 | 2.0 | 6.2 | -1.8 | - | - | - | 20.0 | 10.0 | 0 | 0.73 | 22.0 | 22.0 |
K. Douglas
|
G | 4 | 22.5 | 2.5 | 1.2 | 0.8 | 0.8 | 0.0 | 0.8 | 4.5 | 0.0 | - | - | - | 16.7 | 12.5 | 66.7 | 0.3 | 25.9 | 22.2 |
E. Koch
|
F | 4 | 12.5 | 2.5 | 3.5 | 0.2 | 0.5 | 0.0 | 0.8 | 5.0 | 1.0 | - | - | - | 25.0 | 0.0 | 0 | 0.38 | 25.0 | 25.0 |
V. Page
|
G | 4 | 16.5 | 2.5 | 2.2 | 1.8 | 0.2 | 0.0 | 2.5 | 4.0 | 0.2 | -32 | -1.6 | -15.1 | 25.0 | 0.0 | 66.7 | 0.16 | 28.9 | 25.0 |
R. Jennings
|
F | 4 | 10.2 | 1.8 | 1.0 | 0.2 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | - | - | - | 37.5 | 0 | 50.0 | 0.09 | 39.4 | 37.5 |
I. DiGiovanni
|
F | 2 | 6.0 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | 1.0 | - | - | - | 33.3 | 0 | 50.0 | -0.12 | 38.7 | 33.3 |
K. Mitchell
|
G | 4 | 6.8 | 0.2 | 0.2 | 0.5 | 0.0 | 0.0 | 0.8 | 0.2 | 0.0 | - | - | - | 0.0 | 0 | 50.0 | 1.48 | 26.6 | 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