Kansas City Roos
2026 Team Stats (26 games)
67.3
PPG
69.8
Opp
-2.5
Margin
41.7%
FG%
33.6%
3P%
64.6%
FT%
35.3
RPG
13.0
APG
14.6
TO
83.9
Pace
61.0
AdjO
71.0
AdjD
#274
Rank
Model Outputs
2025-2026
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 → | 762 (#321) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 692 (#340) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 863 (#564) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -10.1 (#272) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.7 (#278) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.136 (#307) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.163 (#281) | NetEff -13.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.152 (#273) | AdjNet -14.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.149 (#271) | AdjNet -15.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.286 (#274) | AdjO 61.0 | AdjD 71.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.408 (#445) | AdjO 62.5 | AdjD 66.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.547 (#274) | 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 → | 0.496 (#283) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 824 (#526) | RD 159 | GP 26 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Em. Bennett
|
G | 24 | 29.6 | 13.3 | 4.0 | 1.3 | 1.2 | 0.3 | 1.9 | 15.1 | 3.2 | -49 | -2.2 | -3.3 | 35.1 | 35.9 | 66.7 | 1.74 | 41.6 | 39.6 |
El. Bennett
|
G | 26 | 29.5 | 13.0 | 8.2 | 1.4 | 1.2 | 0.1 | 2.2 | 9.7 | 12.0 | -49 | -2.2 | -3.3 | 59.1 | 0.0 | 44.8 | 1.74 | 58.0 | 59.1 |
T. Trotter
|
G | 25 | 26.2 | 9.8 | 1.8 | 3.2 | 1.4 | 0.2 | 2.6 | 9.1 | 4.8 | -42 | -1.8 | -3.3 | 38.6 | 35.7 | 76.3 | 0.16 | 48.4 | 44.1 |
Z. Harrell
|
G | 26 | 30.7 | 7.8 | 6.0 | 1.8 | 1.4 | 0.3 | 1.9 | 7.1 | 8.3 | -159 | -6.6 | -9.1 | 41.3 | 33.3 | 84.5 | -1.35 | 48.2 | 41.6 |
K. Bannerman
|
F | 26 | 18.9 | 6.7 | 4.5 | 0.9 | 0.8 | 0.8 | 1.0 | 6.0 | 6.7 | -120 | -5.5 | -13.9 | 41.7 | 25.9 | 66.1 | -0.95 | 48.2 | 43.9 |
J. Winter
|
G | 26 | 16.4 | 5.7 | 1.0 | 0.5 | 0.2 | 0.2 | 0.3 | 5.2 | 2.0 | -76 | -3.5 | -7.1 | 35.8 | 36.4 | 80.0 | -1.35 | 54.3 | 53.7 |
J. Adaramoye
|
F | 10 | 10.0 | 3.4 | 3.0 | 0.3 | 0.4 | 0.4 | 0.7 | 3.0 | 3.8 | 3 | 0.2 | 0.5 | 50.0 | 20.0 | 75.0 | -0.43 | 53.5 | 51.7 |
T. Chears
|
G | 13 | 7.3 | 2.8 | 0.3 | 0.2 | 0.8 | 0.0 | 0.8 | 3.3 | 0.1 | -28 | -4.7 | -54.1 | 27.9 | 57.1 | 56.2 | 1.01 | 37.0 | 32.6 |
F. Amode
|
F | 17 | 11.6 | 2.7 | 3.1 | 0.3 | 0.4 | 0.2 | 1.2 | 2.2 | 3.2 | -54 | -4.2 | -14.8 | 50.0 | 0 | 36.4 | -0.91 | 48.2 | 50.0 |
H. Majoros
|
G | 21 | 8.0 | 2.5 | 0.4 | 0.0 | 0.2 | 0.1 | 0.2 | 3.3 | -0.3 | -44 | -2.8 | -18.7 | 27.5 | 22.0 | 100.0 | 0.22 | 37.9 | 37.0 |
A. Febres
|
G | 22 | 14.1 | 2.5 | 1.0 | 2.6 | 0.9 | 0.1 | 1.4 | 1.9 | 3.9 | -110 | -5.0 | -14.6 | 51.2 | 45.5 | 87.5 | -1.44 | 60.6 | 57.3 |
C. Frances
|
F | 15 | 10.0 | 2.4 | 1.6 | 0.5 | 0.3 | 0.1 | 0.4 | 1.5 | 3.0 | -70 | -7.0 | -76.9 | 68.2 | 0 | 100.0 | -1.62 | 73.1 | 68.2 |
C. Andrews
|
G | 9 | 9.2 | 1.8 | 0.2 | 0.1 | 0.9 | 0.0 | 0.4 | 1.6 | 1.0 | -29 | -3.2 | -37.6 | 42.9 | 0.0 | 57.1 | 1.43 | 46.8 | 42.9 |
L. Hatcher
|
G | 15 | 4.7 | 1.6 | 0.6 | 1.1 | 0.3 | 0.0 | 0.8 | 1.9 | 0.9 | -45 | -4.5 | -94.2 | 31.0 | 0 | 54.5 | 0.63 | 35.5 | 31.0 |
N. Thomas
|
G | 19 | 11.9 | 1.3 | 0.9 | 0.5 | 0.4 | 0.2 | 0.8 | 1.2 | 1.2 | 33 | 8.2 | 16.7 | 34.8 | 0 | 66.7 | 1.92 | 42.4 | 34.8 |
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