Capital City Go-Go
2026 Team Stats (42 games)
113.0
PPG
113.9
Opp
+3.0
Margin
47.5%
FG%
36.6%
3P%
74.3%
FT%
42.1
RPG
25.0
APG
14.4
TO
106.4
Pace
99.6
AdjO
90.2
AdjD
#5
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 → | 1023 (#14) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1047 (#11) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#17) | HCA +40 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.5 (#3) | HCA +0.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.8 (#12) | HCA +1.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.662 (#7) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.673 (#5) | NetEff +7.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.601 (#9) | AdjNet +3.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.601 (#9) | AdjNet +3.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.702 (#5) | AdjO 99.6 | AdjD 90.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.519 (#12) | AdjO 118.7 | AdjD 117.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.539 (#12) | 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 → | 0.535 (#13) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 995 (#17) | RD 82 | GP 50 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-12-20 | @ | OKL | W | 125 - 86 |
| 2025-12-22 | vs | SXF | L | 103 - 116 |
| 2025-12-27 | @ | CPS | W | 122 - 100 |
| 2026-01-01 | @ | WES | W | 139 - 90 |
| 2026-01-03 | @ | MNE | L | 109 - 112 |
| 2026-01-07 | vs | MCC | W | 112 - 104 |
| 2026-01-09 | vs | MCC | W | 114 - 106 |
| 2026-01-14 | vs | LIN | L | 101 - 104 |
| 2026-01-15 | vs | RAP | L | 104 - 115 |
| 2026-01-17 | vs | RAP | W | 101 - 99 |
| 2026-01-19 | @ | TEX | W | 113 - 102 |
| 2026-01-22 | @ | AUS | L | 103 - 110 |
| 2026-01-23 | @ | AUS | W | 112 - 96 |
| 2026-01-30 | vs | WIS | L | 99 - 124 |
| 2026-01-31 | vs | WIS | W | 110 - 98 |
| 2026-02-07 | vs | BHM | L | 116 - 122 |
| 2026-02-11 | @ | GBO | L | 119 - 136 |
| 2026-02-12 | @ | GBO | L | 107 - 119 |
| 2026-02-19 | vs | OSC | W | 113 - 110 |
| 2026-02-21 | @ | NOB | - | Preview |
| 2026-02-22 | @ | NOB | - | Preview |
| 2026-02-24 | vs | BHM | L | 112 - 126 |
| 2026-02-26 | @ | WES | L | 112 - 124 |
| 2026-02-28 | vs | CPS | W | 137 - 117 |
| 2026-03-03 | @ | GRG | - | Preview |
| 2026-03-05 | @ | GRG | W | 126 - 120 |
| 2026-03-08 | @ | CLC | - | Preview |
| 2026-03-10 | @ | CLC | L | 111 - 127 |
| 2026-03-17 | vs | SCW | W | 137 - 130 |
| 2026-03-18 | vs | WCB | W | 133 - 122 |
| 2026-03-20 | vs | WCB | W | 154 - 143 |
| 2026-03-22 | vs | LIN | - | Preview |
| 2026-03-27 | @ | DEL | L | 128 - 132 |
| 2026-03-28 | @ | DEL | - | Preview |
| 2026-04-01 | @ | CLC | - | Preview |
| 2026-04-03 | @ | GBO | - | Preview |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Will Riley | G | 2 | 30.5 | 28.0 | 3.0 | 3.5 | 2.0 | 0.5 | 2.5 | 18.0 | 16.5 | - | - | - | 44.4 | 18.2 | 81.8 | - | 61.3 | 47.2 |
| Chris Livingston | G | 10 | 34.2 | 23.7 | 8.3 | 1.9 | 1.2 | 0.7 | 1.4 | 15.0 | 19.4 | - | - | - | 58.7 | 33.3 | 83.8 | - | 71.3 | 62.0 |
| Alondes Williams | G | 19 | 35.3 | 21.4 | 5.6 | 5.1 | 1.4 | 0.5 | 2.9 | 15.2 | 15.8 | - | - | - | 47.4 | 39.4 | 79.0 | - | 64.3 | 56.1 |
| Sharife Cooper | G | 8 | 31.9 | 18.8 | 4.2 | 6.9 | 1.8 | 0.1 | 3.5 | 14.1 | 14.1 | - | - | - | 47.8 | 34.8 | 65.4 | - | 60.3 | 54.9 |
| Skal Labissiere | F | 26 | 30.3 | 18.5 | 7.4 | 2.1 | 0.5 | 2.1 | 1.5 | 13.5 | 15.5 | - | - | - | 51.1 | 36.4 | 83.3 | - | 64.5 | 58.9 |
| Julian Reese | F | 3 | 31.3 | 17.7 | 9.7 | 3.0 | 0.3 | 1.3 | 1.7 | 13.7 | 16.7 | - | - | - | 53.7 | 0 | 62.5 | - | 59.5 | 53.7 |
| Keshon Gilbert | G | 19 | 28.8 | 14.8 | 4.8 | 6.5 | 1.3 | 0.2 | 3.5 | 10.6 | 13.6 | - | - | - | 47.3 | 20.0 | 78.0 | - | 62.1 | 49.3 |
| Jamir Watkins | F | 3 | 31.0 | 14.3 | 7.7 | 1.7 | 2.7 | 0.3 | 1.7 | 12.0 | 13.0 | - | - | - | 41.7 | 33.3 | 57.1 | - | 55.0 | 50.0 |
| AJ Johnson | G | 3 | 28.3 | 13.3 | 4.0 | 3.0 | 1.0 | 0.0 | 2.3 | 16.3 | 2.7 | - | - | - | 30.6 | 25.0 | 66.7 | - | 39.7 | 36.7 |
| Kadary Richmond | G | 18 | 26.8 | 13.1 | 5.6 | 5.7 | 1.3 | 0.6 | 1.8 | 10.5 | 13.9 | - | - | - | 49.7 | 36.2 | 79.2 | - | 59.1 | 54.2 |
| Damari Monsanto | G | 28 | 17.0 | 11.0 | 2.9 | 1.0 | 0.7 | 0.2 | 0.8 | 8.1 | 6.8 | - | - | - | 44.5 | 42.9 | 85.7 | - | 65.0 | 60.4 |
| Nolan Hickman | G | 25 | 29.6 | 10.4 | 2.6 | 3.6 | 0.9 | 0.3 | 1.6 | 8.9 | 7.2 | - | - | - | 42.2 | 37.6 | 72.2 | - | 56.3 | 54.0 |
| Leaky Black | G | 20 | 34.9 | 10.1 | 8.3 | 3.4 | 1.8 | 0.8 | 0.8 | 8.1 | 15.5 | - | - | - | 48.4 | 43.9 | 53.8 | - | 60.6 | 59.6 |
| Chris Mantis | G | 27 | 20.6 | 8.0 | 2.1 | 1.0 | 0.4 | 0.1 | 0.6 | 6.2 | 4.8 | - | - | - | 45.8 | 44.0 | 40.0 | - | 63.2 | 63.4 |
| Akoldah Gak | C | 26 | 16.3 | 7.3 | 3.8 | 1.1 | 0.5 | 0.7 | 0.8 | 5.2 | 7.5 | - | - | - | 62.7 | 16.7 | 63.2 | - | 66.7 | 63.4 |
| Jonathan Pierre | - | 13 | 10.7 | 5.7 | 2.4 | 0.3 | 0.2 | 0.2 | 0.2 | 3.8 | 4.8 | - | - | - | 51.0 | 47.6 | 66.7 | - | 73.5 | 71.4 |
| Trae Hannibal | - | 4 | 17.0 | 4.2 | 4.5 | 1.8 | 1.2 | 0.0 | 1.2 | 3.8 | 6.8 | - | - | - | 40.0 | 0.0 | 60.0 | - | 49.4 | 40.0 |
| Micah Parrish | - | 2 | 15.5 | 3.5 | 1.0 | 0.5 | 1.0 | 0.0 | 0.0 | 3.0 | 3.0 | - | - | - | 33.3 | 0.0 | 100.0 | - | 54.3 | 33.3 |
| Eric Ayala | - | 7 | 8.6 | 2.1 | 2.0 | 0.3 | 0.0 | 0.0 | 0.1 | 1.9 | 2.4 | - | - | - | 38.5 | 37.5 | 33.3 | - | 52.4 | 50.0 |
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