Kansas State
2023 Team Stats (23 games)
78.3
PPG
73.3
Opp
+2.4
Margin
46.2%
FG%
34.1%
3P%
76.6%
FT%
35.0
RPG
16.7
APG
14.1
TO
82.4
Pace
Model Outputs
2022-2023
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 → | 1093 (#197) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1360 (#42) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +35.4 (#56) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.606 (#31) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.601 (#114) | NetEff +3.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.812 (#18) | AdjNet +12.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.813 (#18) | AdjNet +12.7 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Nowell
|
- | 28 | 38.4 | 19.1 | 3.6 | 8.2 | 2.7 | 0.0 | 3.9 | 12.8 | 17.0 | - | - | - | 39.7 | 35.9 | 89.5 | - | 62.3 | 49.3 |
K. Johnson
|
- | 28 | 35.2 | 17.7 | 7.1 | 1.9 | 0.9 | 0.2 | 3.0 | 12.1 | 12.7 | 43 | 4.8 | 22.7 | 49.6 | 39.0 | 72.1 | 0.62 | 64.5 | 54.3 |
N. Tomlin
|
- | 28 | 27.0 | 9.6 | 5.5 | 1.2 | 1.2 | 0.9 | 1.3 | 6.8 | 10.3 | - | - | - | 50.8 | 26.8 | 74.5 | - | 63.1 | 53.7 |
D. Sills
|
- | 27 | 30.2 | 8.3 | 3.7 | 2.0 | 0.9 | 0.4 | 1.3 | 5.2 | 8.8 | - | - | - | 45.0 | 23.1 | 76.7 | - | 63.3 | 49.3 |
Cam Carter
|
- | 28 | 26.1 | 6.1 | 3.0 | 1.3 | 1.0 | 0.3 | 1.5 | 5.4 | 4.8 | - | - | - | 39.1 | 35.7 | 69.2 | 0.17 | 52.3 | 47.4 |
I. Massoud
|
- | 27 | 16.4 | 5.8 | 1.8 | 0.5 | 0.2 | 0.1 | 0.6 | 4.4 | 3.5 | - | - | - | 39.8 | 42.3 | 88.9 | - | 60.1 | 53.8 |
David N'Guessan
|
- | 21 | 17.9 | 5.7 | 2.8 | 0.6 | 0.7 | 0.4 | 0.8 | 2.8 | 6.7 | - | - | - | 72.9 | 50.0 | 43.8 | - | 82.1 | 74.6 |
A. Iyiola
|
- | 26 | 11.2 | 3.5 | 2.7 | 0.4 | 0.3 | 0.3 | 0.8 | 1.9 | 4.5 | - | - | - | 60.0 | 0.0 | 77.8 | - | 68.3 | 60.0 |
T. Greene
|
- | 25 | 9.5 | 2.2 | 1.9 | 0.2 | 0.3 | 0.1 | 0.3 | 1.6 | 2.7 | - | - | - | 46.3 | 9.1 | 26.7 | - | 57.8 | 47.6 |
N. Awbrey
|
- | 6 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.3 | 0.0 | - | - | - | 0.0 | 0.0 | 75.0 | - | 39.9 | 0.0 |
J. Colbert
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 38 | 4.2 | 5.9 | - | - | - | 0.75 | - | - |
N. Pack
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -94 | -7.2 | -11.3 | - | - | - | -0.18 | - | - |
D. Bradford
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 36 | 4.5 | 20.9 | - | - | - | 0.59 | - | - |
S. Lewis
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -8 | -0.5 | -0.9 | - | - | - | 0.58 | - | - |
M. Edwards
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -25 | -2.1 | -5.5 | - | - | - | 0.39 | - | - |
D. Finister
|
G | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | -23 | -1.4 | -2.0 | 0 | 0 | 0 | 0.95 | 0 | 0 |
T. Manning
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 34 | 3.8 | 6.7 | - | - | - | 0.92 | - | - |
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