Kansas State
2022 Team Stats (8 games)
65.1
PPG
67.3
Opp
+1.7
Margin
40.9%
FG%
31.7%
3P%
66.7%
FT%
28.3
RPG
9.0
APG
10.4
TO
75.6
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 → | 1130 (#185) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1379 (#52) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 965 (#533) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.8 (#47) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +22.2 (#45) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.341 (#88) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.142 (#250) | NetEff -16.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.656 (#47) | AdjNet +5.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.659 (#47) | AdjNet +5.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.607 (#119) | AdjO 73.0 | AdjD 68.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.833 (#94) | 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 → | 0.796 (#102) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1100 (#147) | RD 134 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Pack
|
G | 27 | 33.3 | 17.4 | 3.8 | 2.3 | 1.3 | 0.1 | 1.4 | 6.5 | 17.1 | 97 | 3.3 | 4.2 | 45.7 | 43.5 | 84.1 | 1.84 | 121.2 | 57.1 |
Ma. Smith
|
G | 29 | 31.9 | 13.0 | 8.4 | 1.7 | 1.0 | 0.0 | 1.9 | 4.0 | 18.2 | -143 | -4.8 | -8.3 | 42.6 | 34.1 | 69.7 | 2.6 | 145.2 | 48.7 |
M. Nowell
|
- | 26 | 30.3 | 12.5 | 3.5 | 4.8 | 2.2 | 0.0 | 2.4 | 4.2 | 16.5 | - | - | - | 34.3 | 24.0 | 81.6 | 0.94 | 130.3 | 39.8 |
M. McGuirl
|
G | 27 | 27.7 | 7.8 | 3.4 | 2.0 | 1.2 | 0.1 | 1.4 | 3.4 | 9.7 | 6 | 0.2 | 0.3 | 40.7 | 35.4 | 41.7 | 0.46 | 109.1 | 50.0 |
S. Miguel
|
- | 24 | 24.8 | 7.0 | 3.8 | 1.6 | 0.7 | 0.1 | 1.8 | 3.4 | 7.9 | 4 | 0.2 | 0.2 | 34.6 | 5.9 | 63.6 | 0.2 | 92.6 | 35.2 |
I. Massoud
|
- | 30 | 24.0 | 6.6 | 2.7 | 0.3 | 0.8 | 0.3 | 0.7 | 2.2 | 7.8 | - | - | - | 31.8 | 36.1 | 87.5 | 1.51 | 135.5 | 41.7 |
Kaosi Ezeagu
|
- | 24 | 12.8 | 4.2 | 2.7 | 0.2 | 0.2 | 0.3 | 0.8 | 0.7 | 6.1 | 51 | 2.0 | 6.0 | 58.8 | 0 | 43.8 | 0.76 | 208.0 | 58.8 |
M. Lewis
|
F | 1 | 22.0 | 4.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | 4.0 | 33 | 1.0 | 1.8 | 0 | 0 | 0 | 0.56 | 0 | 0 |
M. Johnson
|
G | 2 | 11.5 | 4.0 | 3.5 | 1.0 | 0.0 | 0.5 | 1.0 | 0.0 | 8.0 | 239 | 6.5 | 13.5 | 0 | 0 | 0 | 1.7 | 0 | 0 |
L. Stamps
|
C | 1 | 17.0 | 4.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | -39 | -3.0 | -7.5 | 0 | 0 | 0 | -0.01 | 0 | 0 |
D. Bradford
|
C | 27 | 14.7 | 3.3 | 1.8 | 0.2 | 0.1 | 0.4 | 0.9 | 0.5 | 4.4 | 14 | 0.5 | 1.3 | 61.5 | 0 | 66.7 | -0.03 | 281.3 | 61.5 |
K. Taylor
|
F | 1 | 22.0 | 2.0 | 4.0 | 1.0 | 1.0 | 0.0 | 3.0 | 0.0 | 5.0 | 10 | 0.3 | 0.5 | 0 | 0 | 0 | 0.2 | 0 | 0 |
L. Kasubke
|
- | 28 | 12.0 | 1.9 | 1.0 | 0.5 | 0.3 | 0.0 | 0.5 | 0.7 | 2.5 | -43 | -1.4 | -4.4 | 47.4 | 25.0 | 0 | -0.5 | 136.8 | 52.6 |
C. Linguard Jr.
|
- | 14 | 7.3 | 1.4 | 1.0 | 0.0 | 0.1 | 0.2 | 0.1 | 0.5 | 2.1 | -50 | -3.3 | -4.9 | 42.9 | 0.0 | 50.0 | 0.49 | 87.7 | 42.9 |
L. Landers
|
- | 10 | 7.0 | 0.9 | 1.2 | 0.1 | 0.1 | 0.0 | 0.2 | 0.1 | 2.0 | 19 | 1.9 | 9.9 | 0.0 | 0.0 | 0 | 0.05 | 450.0 | 0.0 |
S. Lewis
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 32 | 4.0 | 6.0 | - | - | - | 0.41 | - | - |
M. Edwards
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
D. Honas
|
G | 5 | 0.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Brooks
|
F | 4 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
B. Howard
|
F | 1 | 8.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | -22 | -1.8 | -5.7 | 0 | 0 | 0 | 0.07 | 0 | 0 |
T. Passmore
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 81 | 5.4 | 40.9 | 0 | 0 | 0 | 1.05 | 0 | 0 |
J. Lucas
|
- | 1 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | -205 | -6.6 | -8.1 | 0 | 0 | 0 | 0.47 | 0 | 0 |
T. Harris
|
- | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -191 | -3.0 | -5.1 | 0 | 0 | 0 | -0.36 | 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