Dartmouth Big Green
2023 Team Stats (16 games)
74.7
PPG
72.6
Opp
+3.7
Margin
46.4%
FG%
34.7%
3P%
73.7%
FT%
34.6
RPG
12.4
APG
13.6
TO
79.5
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 → | 1090 (#200) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1027 (#290) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.6 (#304) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.307 (#94) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.345 (#260) | NetEff -5.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.282 (#92) | AdjNet -8.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.280 (#91) | AdjNet -8.2 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-11 | vs | Bryant Bulldogs | L | 70 - 89 |
| 2022-11-12 | vs | Massachusetts College of Liberal Arts Mohawks | W | 107 - 52 |
| 2022-11-27 | @ | UTSA Roadrunners | W | 78 - 77 |
| 2022-11-30 | vs | Northern Vermont - Johnson Badgers | W | 99 - 41 |
| 2022-12-03 | vs | Cal State Bakersfield Roadrunners | W | 79 - 54 |
| 2022-12-16 | @ | South Florida Bulls | L | 55 - 59 |
| 2023-01-01 | vs | Cornell Big Red | L | 63 - 74 |
| 2023-01-06 | @ | Yale Bulldogs | W | 81 - 77 |
| 2023-01-07 | @ | Brown Bears | L | 70 - 77 |
| 2023-01-14 | vs | Pennsylvania Quakers | W | 75 - 71 |
| 2023-01-16 | @ | Harvard Crimson | W | 60 - 59 |
| 2023-01-21 | @ | Princeton Tigers | L | 90 - 93 |
| 2023-01-28 | vs | Columbia Lions | W | 83 - 73 |
| 2023-02-03 | vs | Brown Bears | L | 61 - 73 |
| 2023-02-04 | vs | Yale Bulldogs | L | 53 - 72 |
| 2023-02-17 | @ | Cornell Big Red | L | 83 - 95 |
| 2023-02-25 | @ | Pennsylvania Quakers | L | 79 - 89 |
| 2023-03-04 | vs | Harvard Crimson | W | 87 - 82 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adelekun, Dame
|
- | 16 | 23.4 | 14.7 | 7.1 | 3.1 | 0.8 | 1.8 | 2.2 | 9.2 | 16.1 | - | - | - | 61.9 | 36.4 | 54.0 | - | 67.3 | 63.3 |
Ryan Cornish
|
G | 18 | 28.4 | 13.7 | 3.7 | 2.7 | 1.4 | 0.2 | 2.4 | 10.0 | 9.4 | 12 | 1.1 | 1.9 | 43.3 | 32.1 | 74.6 | 0.73 | 60.0 | 50.6 |
Dusan Neskovic
|
- | 15 | 27.1 | 12.1 | 3.3 | 1.4 | 0.3 | 0.1 | 2.5 | 8.8 | 5.9 | - | - | - | 47.0 | 41.2 | 74.4 | 0.04 | 60.7 | 57.6 |
B. Mitchell-Day
|
- | 16 | 16.6 | 6.8 | 2.5 | 0.8 | 0.2 | 0.5 | 0.9 | 4.6 | 5.2 | -5 | -0.3 | -0.6 | 52.7 | 31.8 | 70.8 | 0.8 | 63.9 | 57.4 |
C. Krystkowiak
|
- | 18 | 20.2 | 5.6 | 3.5 | 0.6 | 0.5 | 0.2 | 1.2 | 3.7 | 5.3 | - | - | - | 50.7 | 44.4 | 60.0 | - | 67.9 | 62.7 |
I. Robinson
|
- | 18 | 20.9 | 5.5 | 2.3 | 1.2 | 0.6 | 0.0 | 1.3 | 4.5 | 3.8 | - | - | - | 37.0 | 40.0 | 78.6 | - | 56.8 | 49.4 |
J. Munro
|
F | 16 | 13.6 | 5.3 | 2.6 | 1.1 | 0.1 | 0.4 | 0.6 | 3.6 | 5.2 | 10 | 0.7 | 1.2 | 50.9 | 31.6 | 73.3 | 0.87 | 66.8 | 56.1 |
C. Haskins
|
F | 9 | 18.1 | 3.9 | 1.6 | 1.3 | 0.6 | 0.2 | 1.1 | 3.4 | 3.0 | -9 | -0.7 | -1.3 | 35.5 | 32.0 | 0 | 0.26 | 56.5 | 48.4 |
J. Williams
|
F | 14 | 8.5 | 3.6 | 0.9 | 0.1 | 0.2 | 0.1 | 0.4 | 3.1 | 1.5 | 47 | 1.2 | 2.2 | 39.5 | 39.3 | 62.5 | 1.94 | 53.7 | 52.3 |
Jeremiah Johnson
|
G | 15 | 17.7 | 3.6 | 1.8 | 0.5 | 0.3 | 0.1 | 0.9 | 2.5 | 2.8 | -6 | -0.3 | -0.5 | 39.5 | 38.5 | 94.4 | 1.19 | 58.8 | 46.1 |
Romeo Myrthil
|
G | 15 | 14.8 | 3.1 | 1.3 | 0.9 | 0.9 | 0.3 | 0.7 | 2.4 | 3.3 | - | - | - | 47.2 | 36.4 | 80.0 | 0.03 | 60.2 | 58.3 |
R. McRae III
|
- | 16 | 10.1 | 2.6 | 1.8 | 0.5 | 0.2 | 0.2 | 0.8 | 2.2 | 2.4 | 62 | 5.6 | 9.0 | 42.9 | 28.6 | 53.3 | 1.51 | 50.5 | 48.6 |
J. Blaufeld
|
- | 5 | 8.4 | 2.4 | 0.4 | 0.2 | 0.8 | 0.0 | 0.4 | 2.2 | 1.2 | - | - | - | 27.3 | 0.0 | 50.0 | - | 47.0 | 27.3 |
N. Ogbu
|
- | 5 | 5.6 | 2.4 | 2.4 | 0.6 | 0.0 | 0.4 | 0.2 | 2.6 | 3.0 | - | - | - | 46.2 | 0.0 | 0 | - | 46.2 | 46.2 |
Connor Christensen
|
F | 4 | 6.8 | 1.8 | 2.5 | 0.8 | 0.5 | 0.0 | 0.8 | 1.8 | 3.0 | - | - | - | 28.6 | 33.3 | 50.0 | - | 40.0 | 35.7 |
P. Hudson
|
- | 5 | 5.0 | 1.0 | 0.8 | 0.4 | 0.6 | 0.0 | 0.0 | 0.4 | 2.4 | - | - | - | 100.0 | 0 | 100.0 | - | 102.5 | 100.0 |
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