Maine-Fort Kent Bengals
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2023 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 → | 992 (#485) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -24.0 (#646) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.418 (#580) | AdjO 72.8 | AdjD 76.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.183 (#592) | 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 → | 0.221 (#596) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 823 (#645) | RD 350 | GP 1 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-11 | @ | Maine Black Bears | L | 45 - 90 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Guerrero
|
- | 1 | 28.0 | 13.0 | 3.0 | 0.0 | 3.0 | 0.0 | 5.0 | 0.0 | 14.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
N. Huynh
|
- | 1 | 18.0 | 12.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 11.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
H. Andrade
|
- | 1 | 37.0 | 7.0 | 4.0 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 13.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Petty
|
- | 1 | 39.0 | 6.0 | 2.0 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 11.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
B. Sherrod
|
- | 1 | 15.0 | 5.0 | 3.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Lisenbee
|
F | 1 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
V. Culibrk
|
- | 1 | 24.0 | 2.0 | 1.0 | 0.0 | 2.0 | 0.0 | 2.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
D. Franz
|
- | 1 | 27.0 | 0.0 | 4.0 | 1.0 | 0.0 | 1.0 | 3.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Evans
|
- | 1 | 12.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | -15 | -1.2 | -4.0 | 0 | 0 | 0 | 0.39 | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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