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Kansas City Roos

Also known as: Kansas City Roos
Program History

2026 Team Stats (28 games)

70.0
PPG
84.1
Opp
-14.1
Margin
41.3%
FG%
30.7%
3P%
67.9%
FT%
33.4
RPG
12.1
APG
12.8
TO
82.0
Pace
64.7
AdjO
83.5
AdjD
#358
Rank

Model Outputs

2025-2026
Catalog

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 → 532 (#365) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 598 (#363) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 996 (#387) HCA +109 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 800 (#704) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → -18.6 (#357) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -8.9 (#465) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -22.3 (#627) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.063 (#362) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -21.5 More → 0.062 (#326) NetEff -21.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -24.5 More → 0.055 (#356) AdjNet -24.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -24.6 More → 0.055 (#356) AdjNet -24.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.7 | AdjD 83.5 More → 0.154 (#358) AdjO 64.7 | AdjD 83.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.2 | AdjD 77.6 More → 0.401 (#610) AdjO 73.2 | AdjD 77.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.8 | AdjD 80.3 More → 0.226 (#699) AdjO 66.8 | AdjD 80.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.286 (#490) Blend of Elo, BT, Margin, PythLog, PtsOD
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.189 (#585) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.250 (#563) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.234 (#582) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 2 More → 891 (#522) RD 350 | GP 2
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 163 | GP 28 More → 702 (#701) RD 163 | GP 28

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%
Karmello Branch Karmello Branch - 25 29.7 12.7 2.8 1.6 0.4 0.2 1.5 11.1 5.0 -158 -7.5 -26.5 37.1 34.1 86.0 -1.51 52.3 48.2
J. Petty J. Petty - 28 31.2 11.5 3.9 1.6 1.2 0.4 2.0 9.7 7.0 -126 -5.0 -19.2 39.9 34.4 85.5 -0.77 54.0 49.6
C. Evans C. Evans - 27 30.0 11.5 2.2 3.7 1.5 0.0 2.7 10.3 5.9 - - - 41.7 24.4 70.1 - 48.3 43.5
K. Grady II K. Grady II - 27 25.7 9.9 3.4 1.1 1.0 0.1 1.4 8.5 5.7 -137 -5.7 -23.9 39.6 27.6 80.6 -1.62 51.6 46.5
C. Dockery C. Dockery - 27 22.7 7.4 6.1 0.9 0.5 0.3 1.4 5.1 8.8 -106 -4.8 -21.0 51.8 32.1 58.3 -0.9 57.5 55.1
J. Palm J. Palm - 28 25.3 7.2 5.8 1.3 0.6 0.8 1.1 6.8 7.8 -100 -4.3 -18.8 46.1 23.8 41.5 -1.09 47.4 47.4
T. Booker-Lowery T. Booker-Lowery - 23 10.5 4.8 1.7 0.3 0.3 0.2 0.8 4.6 2.0 - - - 41.0 34.5 53.8 - 47.2 45.7
D'Andre Harrison D'Andre Harrison - 4 12.0 4.0 2.2 0.2 0.5 0.0 0.2 3.2 3.5 6 1.0 22.9 46.2 0.0 66.7 -0.05 51.2 46.2
A. Scott A. Scott - 26 12.8 3.8 2.8 0.5 0.2 0.4 0.8 3.2 3.8 -75 -3.4 -26.6 48.8 0.0 52.9 -0.68 50.5 48.8
K. Bundy K. Bundy - 6 13.0 3.0 1.2 1.2 1.0 0.0 1.2 3.3 1.8 -12 -2.0 -16.2 20.0 23.1 77.8 -0.12 37.6 27.5
Jamaria Clark Jamaria Clark - 25 11.9 2.8 0.5 0.9 0.4 0.0 0.6 3.0 1.1 -94 -4.7 -23.7 29.7 22.2 94.1 -0.83 43.0 36.5
Babacar Mbengue Babacar Mbengue F 22 8.5 1.2 1.6 0.3 0.0 0.9 0.5 1.1 2.5 -34 -1.9 -19.5 48.0 0 21.4 -0.35 43.3 48.0
M. Sims M. Sims G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
C. Curtis Jr. C. Curtis Jr. G 0 - 0.0 0.0 0.0 - - - - - 226 10.8 20.4 - - - 1.63 - -
Jason Hilliard Jason Hilliard F 0 - 0.0 0.0 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