Kansas Jayhawks
2023 Team Stats (14 games)
71.9
PPG
69.2
Opp
+2.7
Margin
41.6%
FG%
32.9%
3P%
72.7%
FT%
43.6
RPG
12.4
APG
15.2
TO
87.6
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 → | 1042 (#182) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1207 (#78) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.2 (#63) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.603 (#150) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | @ | Saint Mary's Gaels | W | 73 - 53 |
| 2022-12-08 | @ | Arizona Wildcats | W | 77 - 50 |
| 2022-12-16 | vs | Tulsa Golden Hurricane | W | 81 - 62 |
| 2022-12-21 | @ | Nebraska Cornhuskers | L | 79 - 85 |
| 2022-12-31 | @ | Oklahoma State Cowgirls | W | 80 - 65 |
| 2023-01-04 | vs | Texas Tech Lady Raiders | W | 77 - 59 |
| 2023-01-07 | vs | Baylor Bears | L | 62 - 75 |
| 2023-01-10 | @ | Texas Longhorns | L | 59 - 72 |
| 2023-01-14 | @ | Oklahoma Sooners | L | 74 - 80 |
| 2023-01-21 | @ | Iowa State Cyclones | L | 50 - 64 |
| 2023-02-04 | vs | Texas Longhorns | L | 65 - 68 |
| 2023-02-19 | vs | Oklahoma Sooners | L | 80 - 86 |
| 2023-03-01 | vs | Iowa State Cyclones | W | 98 - 93 |
| 2023-03-09 | vs | TCU Horned Frogs | L | 52 - 57 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Z. Franklin
|
G | 14 | 39.2 | 17.1 | 3.7 | 2.9 | 0.8 | 0.1 | 2.4 | 14.7 | 7.6 | - | - | - | 46.1 | 48.5 | 76.7 | - | 53.1 | 50.0 |
T. Jackson
|
C | 14 | 32.9 | 15.7 | 14.1 | 1.1 | 1.5 | 3.4 | 2.3 | 10.0 | 23.6 | - | - | - | 64.3 | 0 | 57.1 | - | 64.4 | 64.3 |
H. Kersgieter
|
G | 13 | 35.5 | 13.1 | 5.9 | 1.6 | 1.8 | 0.5 | 1.8 | 12.3 | 8.8 | - | - | - | 35.6 | 32.9 | 78.9 | - | 48.1 | 43.8 |
W. Mayberry
|
G | 14 | 33.7 | 9.9 | 3.1 | 3.5 | 1.0 | 0.5 | 2.3 | 11.1 | 4.6 | - | - | - | 31.0 | 23.1 | 75.0 | - | 40.0 | 34.8 |
C. Prater
|
G | 13 | 25.8 | 8.5 | 5.2 | 1.7 | 1.1 | 0.5 | 2.8 | 8.2 | 6.0 | - | - | - | 34.6 | 43.8 | 81.1 | - | 45.0 | 37.9 |
I. Chatzileonti
|
F | 8 | 29.1 | 7.1 | 5.6 | 0.9 | 0.5 | 0.6 | 2.5 | 7.4 | 4.9 | - | - | - | 37.3 | 25.0 | 85.7 | - | 43.7 | 38.1 |
M. Vuksic
|
G | 7 | 4.9 | 1.7 | 0.7 | 0.1 | 0.0 | 0.0 | 0.1 | 2.1 | 0.3 | - | - | - | 26.7 | 30.8 | 0 | - | 40.0 | 40.0 |
Z. Telegdy
|
F | 11 | 6.9 | 1.7 | 0.7 | 0.3 | 0.2 | 0.0 | 0.5 | 1.7 | 0.7 | - | - | - | 36.8 | 33.3 | 100.0 | - | 47.8 | 44.7 |
S. Strom
|
G | 14 | 11.4 | 1.4 | 1.6 | 0.6 | 0.3 | 0.0 | 1.3 | 2.1 | 0.5 | - | - | - | 20.7 | 26.3 | 100.0 | - | 31.8 | 29.3 |
N. Eltayeb
|
C | 13 | 4.7 | 1.4 | 2.1 | 0.1 | 0.0 | 0.2 | 0.5 | 0.9 | 2.2 | - | - | - | 66.7 | 0 | 66.7 | - | 67.6 | 66.7 |
K. Jessen
|
F | 7 | 4.3 | 0.6 | 0.1 | 0.3 | 0.1 | 0.0 | 0.4 | 0.3 | 0.4 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
D. Papadopoulou
|
C | 1 | 3.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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