Centenary (NJ)
Season:
2026
Also known as: Centenary (NJ)
Program History
Model Outputs
2025-2026
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 → | 988 (#206) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 879 (#287) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1002 (#435) | HCA +56 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 963 (#580) | HCA +56 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -17.3 (#341) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -13.8 (#595) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -17.0 (#638) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.212 (#344) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.047 (#364) | AdjNet -25.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.045 (#365) | AdjNet -26.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.149 (#365) | AdjO 64.0 | AdjD 83.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.488 (#434) | AdjO 74.7 | AdjD 75.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.317 (#655) | AdjO 66.3 | AdjD 74.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.350 (#540) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.265 (#611) | 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 → | 0.341 (#554) | 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 → | 0.283 (#604) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 909 (#471) | RD 73 | GP 44 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-02-11 | vs | Saint Elizabeth | W | 90 - 87 |
| 2026-02-14 | @ | Immaculata | W | 94 - 85 |
| 2026-02-18 | @ | Gwynedd Mercy | W | 76 - 70 |
| 2026-02-21 | vs | Neumann | L | 58 - 71 |
| 2026-02-26 | @ | Gwynedd Mercy | L | 77 - 96 |
2026 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kenneth Rankin | - | 2 | 39.5 | 25.5 | 10.0 | 1.5 | 1.0 | 0.5 | 4.0 | 19.0 | 15.5 | - | - | - | - | 50.0 | 28.6 | 64.7 | - | 56.1 | 52.6 |
| Justin Carbone | - | 2 | 36.5 | 18.0 | 6.5 | 1.5 | 1.0 | 0.0 | 1.0 | 13.5 | 12.5 | - | - | - | - | 44.4 | 54.5 | 100.0 | - | 60.7 | 55.6 |
| Devin Strickland | - | 2 | 28.9 | 14.5 | 3.5 | 3.5 | 2.0 | 0.0 | 1.0 | 15.0 | 7.5 | - | - | - | - | 43.3 | 0.0 | 60.0 | - | 45.0 | 43.3 |
| Naire Preston | - | 2 | 22.9 | 8.5 | 2.5 | 2.5 | 0.5 | 0.5 | 1.0 | 7.5 | 6.0 | - | - | - | - | 33.3 | 41.7 | 100.0 | - | 53.5 | 50.0 |
| Jasir Lane | - | 2 | 29.6 | 8.0 | 11.5 | 1.5 | 1.0 | 0.0 | 2.5 | 7.5 | 12.0 | - | - | - | - | 33.3 | 0 | 66.7 | - | 42.2 | 33.3 |
| Domenic Raymond | - | 2 | 10.4 | 4.5 | 2.5 | 0.0 | 0.0 | 0.5 | 1.0 | 2.5 | 4.0 | - | - | - | - | 60.0 | 0 | 75.0 | - | 66.6 | 60.0 |
| Jack Martin | - | 2 | 13.2 | 3.5 | 2.0 | 1.0 | 1.0 | 0.5 | 0.5 | 3.0 | 4.5 | - | - | - | - | 50.0 | 50.0 | 0 | - | 58.3 | 58.3 |
| Darnelle Forrest | - | 2 | 19.1 | 3.0 | 3.5 | 2.5 | 0.0 | 0.0 | 1.0 | 5.0 | 3.0 | - | - | - | - | 20.0 | 0.0 | 100.0 | - | 27.6 | 20.0 |
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