Idaho State Bengals
2022 Team Stats (1 games)
52.0
PPG
71.5
Opp
-7.1
Margin
32.0%
FG%
0.0%
3P%
66.7%
FT%
43.0
RPG
3.0
APG
20.0
TO
83.2
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 → | 1078 (#215) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 991 (#336) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 902 (#605) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.5 (#287) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.6 (#348) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.061 (#292) | NetEff -20.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.406 (#563) | AdjO 64.3 | AdjD 68.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.415 (#379) | 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 → | 0.397 (#397) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 830 (#588) | RD 141 | GP 30 |
2022 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Sorensen
|
G | 2 | 17.0 | 8.0 | 3.5 | 1.0 | 0.0 | 0.0 | 3.5 | 3.5 | 5.5 | -106 | -3.8 | -6.9 | 57.1 | 0.0 | 85.7 | -0.34 | 79.4 | 57.1 |
J. Rodriguez
|
- | 28 | 20.4 | 7.8 | 4.1 | 0.3 | 0.5 | 0.1 | 1.2 | 0.5 | 11.1 | -76 | -2.7 | -5.4 | 14.3 | 0.0 | 66.7 | -0.09 | 711.5 | 14.3 |
B. Parker
|
- | 30 | 18.8 | 7.4 | 2.8 | 1.0 | 0.6 | 0.6 | 1.4 | 0.7 | 10.3 | 12 | 0.7 | 7.2 | 47.6 | 0.0 | 100.0 | 0.3 | 509.6 | 47.6 |
A. Smellie
|
- | 30 | 32.0 | 6.7 | 3.4 | 1.9 | 0.7 | 0.1 | 1.6 | 0.5 | 10.8 | -151 | -5.0 | -6.5 | 42.9 | 0.0 | 50.0 | -0.47 | 576.5 | 42.9 |
T. Cool
|
G | 2 | 28.0 | 6.0 | 3.5 | 2.5 | 1.5 | 0.5 | 2.5 | 3.5 | 8.0 | -134 | -4.6 | -5.9 | 28.6 | 0.0 | 50.0 | 0.02 | 76.1 | 28.6 |
M. Porter
|
F | 2 | 14.5 | 5.0 | 3.5 | 0.0 | 0.0 | 0.5 | 0.5 | 4.5 | 4.0 | -157 | -5.2 | -11.4 | 22.2 | 0 | 66.7 | -0.96 | 43.0 | 22.2 |
N. Robinson
|
G | 1 | 16.0 | 4.0 | 1.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | 4.0 | -69 | -6.3 | -8.4 | 0 | 0 | 0 | 0.18 | 0 | 0 |
Aj Burgin
|
G | 28 | 13.1 | 3.7 | 1.8 | 0.6 | 0.4 | 0.1 | 0.5 | 0.5 | 5.5 | -75 | -2.6 | -8.0 | 14.3 | 0.0 | 50.0 | -0.29 | 329.9 | 14.3 |
D. Carr
|
- | 30 | 20.4 | 3.5 | 3.0 | 0.2 | 0.3 | 0.3 | 0.6 | 0.2 | 6.5 | -124 | -4.1 | -8.0 | 40.0 | 25.0 | 50.0 | -0.62 | 622.1 | 50.0 |
R. Economou
|
G | 1 | 3.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 63 | 4.8 | 16.2 | 0 | 0 | 0 | 0.46 | 0 | 0 |
L. Stormark
|
- | 1 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Taylor III
|
G | 2 | 3.0 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | -91 | -4.0 | -13.0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
G. Buzangu
|
C | 2 | 2.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 1.0 | -9 | -0.7 | -9.1 | 0 | 0 | 0 | -0.06 | 0 | 0 |
P. Tamba
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6 | 0.4 | 4.4 | 0 | 0 | 0 | 0.22 | 0 | 0 |
M. Vail
|
F | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 15 | 0.9 | 5.5 | 0 | 0 | 0 | 0.17 | 0 | 0 |
J. Wall
|
F | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 15 | 3.0 | 17.7 | 0 | 0 | 0 | 0.25 | 0 | 0 |
J. Nagle
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 52 | 2.3 | 12.5 | 0 | 0 | 0 | 0.34 | 0 | 0 |
K. Karstetter
|
F | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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