Colorado State
2022 Team Stats (8 games)
64.6
PPG
66.0
Opp
+7.4
Margin
41.8%
FG%
33.9%
3P%
70.2%
FT%
27.3
RPG
12.9
APG
11.1
TO
72.2
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 → | 1234 (#109) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1360 (#65) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1068 (#96) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.3 (#73) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +18.4 (#88) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.635 (#37) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.316 (#180) | NetEff -6.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.505 (#64) | AdjNet +0.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.505 (#64) | AdjNet +0.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.616 (#106) | AdjO 69.3 | AdjD 64.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.885 (#48) | 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 → | 0.856 (#53) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1298 (#26) | RD 118 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
David Roddy
|
- | 22 | 33.9 | 18.9 | 7.4 | 3.2 | 0.9 | 1.0 | 2.5 | 6.1 | 22.7 | - | - | - | 56.7 | 40.5 | 63.6 | 1.76 | 131.2 | 63.1 |
Isaiah Stevens
|
- | 31 | 34.7 | 14.7 | 3.2 | 4.7 | 1.2 | 0.1 | 1.7 | 4.3 | 18.0 | 197 | 6.4 | 7.7 | 48.9 | 52.3 | 84.8 | 1.24 | 154.6 | 57.5 |
B. Horvath
|
F | 2 | 33.5 | 13.0 | 4.5 | 3.5 | 1.0 | 0.5 | 1.0 | 6.5 | 15.0 | 209 | 6.1 | 7.9 | 53.8 | 0.0 | 50.0 | 1.2 | 93.7 | 53.8 |
J. Allen-Tovar
|
F | 2 | 31.0 | 11.0 | 5.0 | 0.5 | 0.5 | 1.0 | 1.5 | 4.5 | 12.0 | 31 | 1.0 | 1.7 | 77.8 | 75.0 | 0 | 0.69 | 122.2 | 94.4 |
J. Tonje
|
- | 23 | 25.3 | 9.3 | 2.6 | 0.7 | 0.4 | 0.2 | 1.0 | 2.4 | 9.7 | 165 | 5.5 | 8.9 | 33.9 | 24.1 | 81.0 | 1.51 | 163.2 | 40.2 |
K. Moore
|
- | 22 | 25.3 | 6.6 | 2.6 | 1.9 | 1.1 | 0.0 | 1.0 | 2.3 | 9.0 | 129 | 4.4 | 7.3 | 27.5 | 20.0 | 66.7 | 0.72 | 135.2 | 34.3 |
Dischon Thomas
|
- | 22 | 16.0 | 6.1 | 3.1 | 1.1 | 0.4 | 0.4 | 0.7 | 2.0 | 8.3 | 97 | 3.1 | 8.0 | 40.0 | 50.0 | 100.0 | 0.73 | 139.1 | 54.4 |
C. Jacobs
|
G | 24 | 20.2 | 5.5 | 4.0 | 0.7 | 0.8 | 0.3 | 0.8 | 1.9 | 8.6 | 180 | 6.0 | 11.9 | 35.6 | 6.7 | 87.5 | 1.56 | 126.8 | 36.7 |
F. Lacis
|
F | 1 | 23.0 | 4.0 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 11.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Moors
|
- | 31 | 12.4 | 4.0 | 2.5 | 0.7 | 0.3 | 0.4 | 0.6 | 0.7 | 6.5 | 45 | 1.5 | 4.9 | 50.0 | 0 | 66.7 | 0.38 | 218.5 | 50.0 |
Jalen Lake
|
G | 31 | 14.0 | 3.6 | 1.1 | 0.5 | 0.4 | 0.3 | 0.4 | 1.5 | 4.0 | 47 | 1.5 | 4.5 | 37.5 | 33.3 | 83.3 | 0.1 | 111.6 | 49.0 |
C. Simmons
|
G | 1 | 14.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | -47 | -2.1 | -6.4 | 0 | 0 | 0 | -0.07 | 0 | 0 |
I. Rivera
|
G | 24 | 11.0 | 2.8 | 1.3 | 0.4 | 0.4 | 0.2 | 0.4 | 0.8 | 3.9 | 31 | 1.0 | 3.3 | 27.8 | 20.0 | 44.4 | 0.05 | 150.3 | 33.3 |
A. Thistlewood
|
F | 19 | 11.5 | 1.4 | 1.6 | 0.5 | 0.2 | 0.1 | 0.2 | 0.7 | 2.8 | 56 | 2.3 | 7.9 | 23.1 | 18.2 | 0 | 0.27 | 100.0 | 30.8 |
C. Baker-Mazara
|
- | 2 | 11.0 | 1.0 | 2.0 | 0.0 | 1.0 | 0.5 | 0.0 | 0.0 | 4.5 | 86 | 2.8 | 8.4 | 0 | 0 | 0 | 0.7 | 0 | 0 |
L. Moerman
|
C | 1 | 23.0 | 1.0 | 4.0 | 1.0 | 1.0 | 3.0 | 0.0 | 0.0 | 10.0 | -184 | -6.8 | -14.1 | 0 | 0 | 0 | -1.26 | 0 | 0 |
B. Hebb
|
G | 11 | 3.2 | 0.5 | 0.1 | 0.2 | 0.0 | 0.0 | 0.4 | 0.1 | 0.4 | -20 | -1.8 | -20.0 | 0.0 | 0 | 0 | -0.45 | 300.0 | 0.0 |
H. Dhaliwal
|
C | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Lufile
|
F | 1 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 131 | 4.7 | 11.6 | 0 | 0 | 0 | 1.07 | 0 | 0 |
M. Howell
|
G | 1 | 12.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | -56 | -1.8 | -3.5 | 0 | 0 | 0 | 0.3 | 0 | 0 |
T. Young
|
- | 4 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -57 | -2.4 | -4.5 | 0 | 0 | 0 | 0.07 | 0 | 0 |
N. Bassett
|
- | 4 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Jennissen
|
- | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
R. Corner
|
C | 1 | 5.0 | 0.0 | 4.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 7.0 | 3 | 0.4 | 3.0 | 0 | 0 | 0 | 0.09 | 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