Rogers State Hillcats
2022 Team Stats (1 games)
31.0
PPG
91.0
Opp
-60.0
Margin
20.8%
FG%
11.1%
3P%
58.3%
FT%
27.0
RPG
1.0
APG
19.0
TO
77.3
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 → | 974 (#402) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1012 (#317) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#284) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.6 (#490) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -22.4 (#590) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.447 (#474) | AdjO 66.9 | AdjD 69.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.115 (#612) | 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 → | 0.155 (#613) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 901 (#472) | RD 350 | GP 1 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-23 | @ | Oral Roberts Golden Eagles | L | 31 - 91 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Jackson
|
G | 1 | 30.0 | 8.0 | 5.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 | 4.0 | - | - | - | 37.5 | 0.0 | 100.0 | -0.38 | 45.0 | 37.5 |
T. Dean
|
G | 1 | 28.0 | 7.0 | 3.0 | 0.0 | 2.0 | 0.0 | 4.0 | 6.0 | 2.0 | - | - | - | 16.7 | 0.0 | 83.3 | - | 40.5 | 16.7 |
P. Lawrence
|
G | 1 | 28.0 | 6.0 | 2.0 | 0.0 | 1.0 | 0.0 | 1.0 | 10.0 | -2.0 | - | - | - | 30.0 | 0.0 | 0.0 | - | 28.7 | 30.0 |
B. Peacock
|
F | 1 | 13.0 | 3.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 5.0 | -3.0 | - | - | - | 20.0 | 50.0 | 0 | - | 30.0 | 30.0 |
D. Pullum
|
G | 1 | 23.0 | 3.0 | 2.0 | 0.0 | 2.0 | 0.0 | 1.0 | 8.0 | -2.0 | - | - | - | 12.5 | 25.0 | 0 | - | 18.8 | 18.8 |
J. Coblin
|
G | 1 | 9.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | -1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
J. Price
|
G | 1 | 17.0 | 2.0 | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 2.0 | 4.0 | -72 | -3.8 | -15.5 | 50.0 | 0.0 | 0 | -1.03 | 50.0 | 50.0 |
C. Starks
|
G | 1 | 16.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0.0 | - | 0.0 | 0.0 |
U. Obineke
|
F | 1 | 20.0 | 0.0 | 1.0 | 1.0 | 1.0 | 0.0 | 3.0 | 6.0 | -6.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
J. Saracco
|
C | 1 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
G. Gessert
|
G | 1 | 9.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | -3.0 | - | - | - | 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