Kansas State Wildcats
2022 Team Stats (14 games)
61.9
PPG
68.3
Opp
-6.4
Margin
40.2%
FG%
27.4%
3P%
80.0%
FT%
31.0
RPG
15.1
APG
14.2
TO
76.4
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 → | 1096 (#128) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1237 (#61) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +46.4 (#23) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.914 (#27) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-01-02 | vs | Baylor Bears | W | 68 - 59 |
| 2022-01-11 | vs | Iowa State Cyclones | L | 70 - 73 |
| 2022-01-15 | @ | Texas Tech Lady Raiders | L | 45 - 64 |
| 2022-01-23 | vs | Oklahoma Sooners | W | 94 - 65 |
| 2022-01-26 | @ | Texas Longhorns | L | 48 - 66 |
| 2022-01-29 | vs | TCU Horned Frogs | W | 63 - 54 |
| 2022-02-02 | @ | Iowa State Cyclones | L | 55 - 70 |
| 2022-02-05 | vs | Texas Tech Lady Raiders | W | 82 - 75 |
| 2022-02-09 | @ | Baylor Bears | L | 50 - 95 |
| 2022-02-23 | vs | Texas Longhorns | L | 51 - 62 |
| 2022-02-26 | @ | Oklahoma Sooners | L | 69 - 72 |
| 2022-03-11 | @ | Texas Longhorns | L | 65 - 72 |
| 2022-03-19 | @ | Washington State Cougars | W | 50 - 40 |
| 2022-03-21 | @ | NC State Wolfpack | L | 57 - 89 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Lee
|
C | 14 | 32.4 | 21.9 | 9.0 | 1.0 | 1.0 | 2.4 | 1.6 | 15.4 | 18.2 | -17 | -1.4 | -7.8 | 56.7 | 0 | 81.6 | 1.3 | 61.6 | 56.7 |
S. Sundell
|
G | 14 | 32.6 | 10.1 | 2.9 | 5.1 | 0.6 | 0.6 | 3.0 | 8.6 | 7.9 | - | - | - | 37.5 | 33.3 | 82.9 | 1.25 | 51.1 | 44.6 |
B. Glenn
|
G | 14 | 28.1 | 8.4 | 2.8 | 1.3 | 1.9 | 0.3 | 1.6 | 7.0 | 6.1 | 71 | 3.1 | 22.9 | 36.7 | 33.3 | 87.5 | 0.65 | 51.0 | 42.3 |
J. Glenn
|
G | 14 | 32.5 | 6.1 | 3.9 | 2.1 | 1.7 | 0.3 | 1.2 | 7.1 | 5.8 | - | - | - | 32.0 | 26.8 | 50.0 | 0.5 | 40.4 | 39.5 |
E. Ebert
|
G | 13 | 21.8 | 4.9 | 2.5 | 1.8 | 0.8 | 0.1 | 2.2 | 5.0 | 2.8 | 65 | 3.4 | 64.0 | 29.2 | 33.3 | 73.9 | 0.08 | 42.6 | 36.2 |
L. Macke
|
F | 14 | 15.4 | 3.9 | 1.7 | 1.3 | 0.6 | 0.1 | 1.1 | 3.4 | 3.2 | - | - | - | 38.3 | 19.0 | 88.2 | 1.4 | 50.5 | 42.6 |
C. Goodrich
|
G | 13 | 12.9 | 3.0 | 1.7 | 1.3 | 0.2 | 0.0 | 1.6 | 2.8 | 1.8 | - | - | - | 40.5 | 0 | 69.2 | 1.17 | 45.6 | 40.5 |
R. Dallinger
|
G | 13 | 15.4 | 2.7 | 1.2 | 0.9 | 0.3 | 0.0 | 0.9 | 3.9 | 0.2 | - | - | - | 23.5 | 20.6 | 100.0 | 2.01 | 33.2 | 30.4 |
J. Moore
|
G | 11 | 8.8 | 1.2 | 1.5 | 0.5 | 0.3 | 0.1 | 0.7 | 1.4 | 1.5 | -29 | -1.5 | -18.7 | 33.3 | 0.0 | 50.0 | 0.95 | 36.8 | 33.3 |
T. Lauterbach
|
C | 13 | 5.9 | 0.8 | 1.1 | 0.1 | 0.1 | 0.4 | 0.2 | 1.5 | 0.8 | - | - | - | 21.1 | 0.0 | 100.0 | 0.61 | 27.1 | 21.1 |
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