Kansas Jayhawks
2024 Team Stats (12 games)
65.0
PPG
71.7
Opp
-6.7
Margin
41.5%
FG%
30.6%
3P%
70.4%
FT%
33.2
RPG
8.5
APG
14.9
TO
79.7
Pace
Model Outputs
2023-2024
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 → | 1052 (#155) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1178 (#92) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.9 (#63) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.603 (#152) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.715 (#39) | AdjNet +8.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.718 (#39) | AdjNet +8.1 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-24 | @ | Virginia Tech Hokies | L | 58 - 59 |
| 2023-11-25 | @ | UConn Huskies | L | 63 - 71 |
| 2023-12-30 | vs | West Virginia Mountaineers | L | 60 - 85 |
| 2024-01-10 | vs | Baylor Bears | W | 87 - 66 |
| 2024-01-16 | @ | Texas Longhorns | L | 56 - 91 |
| 2024-01-20 | @ | Kansas State Wildcats | L | 58 - 69 |
| 2024-02-21 | @ | Baylor Bears | L | 61 - 69 |
| 2024-02-25 | vs | Kansas State Wildcats | W | 58 - 55 |
| 2024-03-02 | vs | Oklahoma Sooners | W | 83 - 74 |
| 2024-03-09 | @ | Texas Longhorns | L | 60 - 76 |
| 2024-03-23 | vs | Michigan Wolverines | W | 81 - 72 |
| 2024-03-25 | @ | USC Trojans | L | 55 - 73 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Nichols
|
G | 12 | 32.1 | 17.6 | 2.8 | 2.0 | 1.2 | 0.1 | 3.1 | 12.0 | 8.6 | 39 | 4.3 | 4.0 | 43.1 | 41.4 | 85.2 | 0.37 | 57.7 | 47.2 |
Z. Franklin
|
G | 12 | 36.8 | 11.7 | 2.8 | 2.0 | 0.9 | 0.0 | 1.1 | 11.0 | 5.3 | 30 | 3.3 | 3.1 | 40.9 | 22.9 | 70.6 | 0.29 | 47.6 | 43.9 |
H. Kersgieter
|
G | 12 | 33.6 | 11.5 | 5.5 | 1.2 | 2.0 | 0.0 | 2.5 | 9.9 | 7.8 | 30 | 3.3 | 3.1 | 41.2 | 36.0 | 66.7 | 0.33 | 51.7 | 48.7 |
T. Jackson
|
C | 12 | 26.2 | 10.9 | 9.7 | 0.9 | 1.0 | 2.3 | 2.3 | 8.6 | 13.9 | 37 | 4.1 | 4.4 | 50.5 | 0 | 51.9 | 0.52 | 52.0 | 50.5 |
W. Mayberry
|
G | 12 | 32.1 | 6.8 | 2.5 | 1.8 | 1.1 | 0.0 | 2.0 | 8.3 | 1.8 | 8 | 1.0 | 1.0 | 31.0 | 32.4 | 57.1 | 0.13 | 38.6 | 37.0 |
R. Cobbins
|
G | 12 | 18.1 | 2.5 | 2.6 | 0.2 | 0.3 | 0.0 | 1.3 | 2.6 | 1.7 | 8 | 0.8 | 1.5 | 41.9 | 27.3 | 50.0 | 0.07 | 47.1 | 46.8 |
S. Gill
|
G | 11 | 9.4 | 2.0 | 0.9 | 0.1 | 0.4 | 0.4 | 0.5 | 2.0 | 1.2 | 4 | 0.4 | 1.5 | 36.4 | 0.0 | 66.7 | 0.07 | 42.4 | 36.4 |
L. Conesa
|
G | 4 | 6.8 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | 2.2 | -2.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
D. Papadopoulou
|
C | 12 | 8.2 | 1.2 | 1.8 | 0.1 | 0.0 | 0.0 | 0.9 | 0.7 | 1.4 | 0 | 0.0 | 0.0 | 62.5 | 0 | 66.7 | -0.15 | 65.8 | 62.5 |
Z. Telegdy
|
F | 6 | 6.5 | 0.7 | 0.8 | 0.5 | 0.5 | 0.2 | 0.2 | 0.7 | 1.8 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
P. Gaines
|
F | 4 | 2.5 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | - | - | - | 0 | 0 | 100.0 | - | 113.6 | 0 |
M. Smith
|
F | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 20 | 3.3 | 3.6 | 0 | 0 | 0 | 0.05 | 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