Keene State Owls
Season:
2022
2022 Team Stats (1 games)
54.0
PPG
92.0
Opp
-38.0
Margin
34.4%
FG%
36.4%
3P%
100.0%
FT%
29.0
RPG
10.0
APG
12.0
TO
74.8
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 → | 969 (#440) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 937 (#570) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 996 (#351) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -19.4 (#778) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.2 (#539) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.448 (#469) | AdjO 68.1 | AdjD 70.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.239 (#512) | 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 → | 0.276 (#512) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 914 (#421) | RD 350 | GP 1 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-13 | @ | New Hampshire Wildcats | L | 54 - 92 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
O. Brito
|
G | 1 | 26.0 | 15.0 | 2.0 | 0.0 | 2.0 | 1.0 | 3.0 | 10.0 | 7.0 | - | - | - | 60.0 | 75.0 | 0 | - | 75.0 | 75.0 |
J. Hunter
|
F | 1 | 32.0 | 9.0 | 7.0 | 2.0 | 2.0 | 0.0 | 2.0 | 8.0 | 10.0 | 32 | 0.9 | 2.5 | 50.0 | 33.3 | 0 | 0.96 | 56.2 | 56.2 |
M. Bonney-Liles
|
G | 1 | 28.0 | 7.0 | 5.0 | 1.0 | 0.0 | 0.0 | 2.0 | 6.0 | 5.0 | - | - | - | 33.3 | 50.0 | 100.0 | - | 50.9 | 41.7 |
J. Cichon
|
G | 1 | 30.0 | 6.0 | 3.0 | 4.0 | 0.0 | 0.0 | 2.0 | 13.0 | -2.0 | - | - | - | 23.1 | 0.0 | 0 | - | 23.1 | 23.1 |
M. Jean Baptiste
|
G | 1 | 30.0 | 6.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 9.0 | -2.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
T. Dill
|
G | 1 | 13.0 | 5.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 1.0 | - | - | - | 25.0 | 33.3 | 100.0 | - | 51.2 | 37.5 |
J. Santos
|
G | 1 | 17.0 | 3.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 5.0 | - | - | - | 50.0 | 100.0 | 0 | - | 75.0 | 75.0 |
J. Williams
|
F | 1 | 8.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | -1.0 | -84 | -3.4 | -4.5 | 25.0 | 50.0 | 0 | 2.24 | 37.5 | 37.5 |
L. Prayer
|
G | 1 | 8.0 | 0.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
L. Hicks
|
G | 1 | 8.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | - | - | - | 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