Le Moyne Dolphins
2025 Team Stats (11 games)
74.7
PPG
79.9
Opp
-8.3
Margin
43.8%
FG%
31.0%
3P%
71.7%
FT%
35.2
RPG
15.5
APG
14.5
TO
83.4
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 → | 960 (#587) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +4.9 (#305) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.463 (#440) | AdjO 72.2 | AdjD 73.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.563 (#303) | 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 → | 0.529 (#304) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 902 (#480) | RD 157 | GP 30 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-06 | vs | Cal State Northridge Matadors | L | 75 - 97 |
| 2024-11-13 | @ | UConn Huskies | L | 49 - 90 |
| 2024-11-16 | @ | St. Bonaventure Bonnies | L | 52 - 71 |
| 2024-11-22 | vs | UT Martin Skyhawks | W | 65 - 53 |
| 2024-11-23 | @ | Texas A&M-Corpus Christi Islanders | L | 61 - 82 |
| 2024-11-25 | @ | UT Rio Grande Valley Vaqueros | L | 77 - 97 |
| 2024-11-29 | @ | Manhattan Jaspers | W | 81 - 77 |
| 2024-12-03 | vs | Army Black Knights | L | 100 - 103 |
| 2024-12-07 | vs | Binghamton Bearcats | L | 62 - 72 |
| 2024-12-14 | vs | SUNY Delhi Broncos | W | 106 - 51 |
| 2024-12-18 | @ | Dartmouth Big Green | W | 80 - 76 |
| 2024-12-22 | @ | Notre Dame Fighting Irish | L | 62 - 91 |
| 2024-12-29 | @ | Niagara Purple Eagles | L | 69 - 88 |
| 2025-01-03 | @ | Long Island University Sharks | L | 62 - 78 |
| 2025-01-20 | vs | Stonehill Skyhawks | W | 73 - 72 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Robby Carmody
|
G | 11 | 26.2 | 13.4 | 2.3 | 0.8 | 0.9 | 0.3 | 1.5 | 8.4 | 7.7 | -133 | -5.5 | -9.7 | 45.7 | 42.9 | 88.2 | 0.44 | 64.2 | 55.4 |
O. Owens
|
F | 9 | 34.4 | 12.2 | 8.7 | 2.3 | 0.4 | 1.6 | 1.6 | 9.1 | 14.6 | -113 | -5.7 | -8.5 | 47.6 | 17.9 | 75.0 | -0.24 | 56.2 | 50.6 |
D. Koroma
|
F | 15 | 27.8 | 11.3 | 6.9 | 1.9 | 1.1 | 0.4 | 2.2 | 6.6 | 12.7 | -127 | -4.4 | -7.7 | 70.7 | 50.0 | 54.5 | -0.36 | 71.4 | 73.2 |
AJ Dancler
|
- | 14 | 26.8 | 9.5 | 2.8 | 2.9 | 1.1 | 0.2 | 2.4 | 8.1 | 5.9 | -144 | -6.3 | -9.4 | 40.7 | 42.9 | 70.8 | 0.16 | 53.8 | 51.3 |
Z. Tekin
|
G | 14 | 27.3 | 8.0 | 2.5 | 3.9 | 1.8 | 0.1 | 2.4 | 6.6 | 7.2 | -232 | -11.0 | -21.4 | 35.5 | 12.0 | 81.1 | -0.94 | 48.1 | 37.1 |
N. Fouts
|
F | 15 | 22.7 | 7.6 | 3.7 | 1.6 | 0.8 | 0.4 | 1.1 | 5.9 | 7.1 | -63 | -3.0 | -5.7 | 46.1 | 37.5 | 71.4 | 0.02 | 56.3 | 52.8 |
W. Amica
|
G | 10 | 19.9 | 6.0 | 2.2 | 1.4 | 0.7 | 0.2 | 1.6 | 6.5 | 2.4 | -71 | -4.4 | -17.2 | 33.8 | 31.2 | 78.6 | 0.06 | 42.2 | 37.7 |
T. Mosquera
|
G | 7 | 15.6 | 5.9 | 1.7 | 0.4 | 0.1 | 0.1 | 1.1 | 5.9 | 1.3 | 2 | 2.0 | 11.6 | 39.0 | 31.0 | 0 | -1.11 | 50.0 | 50.0 |
D. Jones Jr.
|
- | 15 | 21.7 | 5.7 | 2.4 | 0.5 | 0.4 | 0.1 | 0.6 | 5.4 | 3.1 | 219 | 6.6 | 9.5 | 34.6 | 34.6 | 75.0 | 2.75 | 48.8 | 45.7 |
F. Bagatskis
|
F | 5 | 23.0 | 5.6 | 2.4 | 1.0 | 0.4 | 0.0 | 1.0 | 7.0 | 1.4 | -55 | -9.2 | -27.1 | 20.0 | 17.2 | 64.3 | -0.34 | 34.0 | 27.1 |
J. Blakley
|
G | 10 | 12.5 | 4.4 | 1.6 | 0.5 | 0.4 | 0.0 | 0.3 | 4.5 | 2.1 | -66 | -2.8 | -36.8 | 33.3 | 34.4 | 75.0 | -0.22 | 47.0 | 45.6 |
D. Garang
|
- | 3 | 9.3 | 2.3 | 0.7 | 2.0 | 1.0 | 0.0 | 0.3 | 3.7 | 2.0 | -2 | -0.1 | -0.4 | 27.3 | 20.0 | 0 | 0.06 | 31.8 | 31.8 |
S. Donnelly
|
- | 3 | 4.7 | 2.0 | 1.7 | 0.3 | 0.0 | 0.0 | 0.3 | 0.3 | 3.3 | 3 | 1.5 | 40.0 | 100.0 | 100.0 | 75.0 | -1.43 | 108.7 | 150.0 |
I. Nyakundi
|
F | 7 | 4.7 | 1.9 | 1.3 | 0.1 | 0.0 | 0.3 | 0.4 | 1.6 | 1.6 | 64 | 9.1 | 329.6 | 45.5 | 0.0 | 33.3 | -1.07 | 43.4 | 45.5 |
K. Thomas
|
- | 3 | 4.7 | 1.3 | 1.7 | 0.3 | 0.0 | 0.0 | 0.0 | 1.0 | 2.3 | 2 | 0.2 | 5.3 | 66.7 | 0 | 0.0 | -0.86 | 51.5 | 66.7 |
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