US Merchant Marine Academy Mariners
2022 Team Stats (1 games)
48.0
PPG
106.0
Opp
-58.0
Margin
23.1%
FG%
21.2%
3P%
55.0%
FT%
38.0
RPG
11.0
APG
23.0
TO
96.8
Pace
Model Outputs
2021-2022
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 995 (#354) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -23.5 (#840) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -28.7 (#623) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.417 (#535) | AdjO 67.2 | AdjD 70.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.119 (#608) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.162 (#609) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 854 (#560) | RD 350 | GP 1 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-13 | @ | Long Island University Sharks | L | 48 - 106 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Robinson
|
- | 1 | 22.0 | 10.0 | 1.0 | 4.0 | 0.0 | 0.0 | 4.0 | 9.0 | 2.0 | 56 | 2.5 | 6.1 | 22.2 | 28.6 | 57.1 | -0.12 | 41.4 | 33.3 |
J. Kauffman
|
F | 1 | 18.0 | 9.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 8.0 | 3.0 | - | - | - | 37.5 | 50.0 | 0 | - | 56.2 | 56.2 |
G. Green
|
G | 1 | 11.0 | 6.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | 5.0 | 161 | 6.4 | 12.6 | 33.3 | 33.3 | 100.0 | 0.97 | 69.4 | 50.0 |
B. Bomboy
|
G | 1 | 22.0 | 5.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 6.0 | 3.0 | - | - | - | 33.3 | 20.0 | 0 | - | 41.7 | 41.7 |
B. McDonough
|
F | 1 | 27.0 | 4.0 | 7.0 | 1.0 | 0.0 | 0.0 | 1.0 | 9.0 | 2.0 | - | - | - | 22.2 | 0.0 | 0.0 | -0.58 | 19.4 | 22.2 |
B. Bristow
|
- | 1 | 20.0 | 4.0 | 5.0 | 1.0 | 1.0 | 0.0 | 3.0 | 8.0 | 0.0 | - | - | - | 25.0 | 0.0 | 0.0 | - | 22.5 | 25.0 |
I. Vencel
|
- | 1 | 21.0 | 4.0 | 4.0 | 1.0 | 1.0 | 0.0 | 1.0 | 5.0 | 4.0 | - | - | - | 20.0 | 0 | 100.0 | - | 34.0 | 20.0 |
D. Spina
|
G | 1 | 19.0 | 2.0 | 1.0 | 0.0 | 2.0 | 0.0 | 5.0 | 6.0 | -6.0 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
I. Nix
|
F | 1 | 13.0 | 2.0 | 6.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 3.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
D. Zalescik
|
- | 1 | 7.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | -1.0 | - | - | - | 0.0 | 0.0 | 66.7 | - | 23.1 | 0.0 |
J. Bucher
|
F | 1 | 15.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 5.0 | 2.0 | -4.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
B. Allison
|
- | 1 | 5.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 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