Charlotte 49ers
2026 Team Stats (33 games)
73.9
PPG
74.3
Opp
-0.4
Margin
45.9%
FG%
35.3%
3P%
72.1%
FT%
34.5
RPG
13.0
APG
11.7
TO
75.8
Pace
72.7
AdjO
71.7
AdjD
#149
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 → | 1051 (#137) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 979 (#201) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1021 (#145) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.5 (#153) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.4 (#163) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.477 (#192) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.591 (#145) | NetEff +3.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.540 (#150) | AdjNet +1.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.540 (#150) | AdjNet +1.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.522 (#149) | AdjO 72.7 | AdjD 71.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.520 (#212) | AdjO 72.7 | AdjD 71.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.760 (#171) | 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 → | 0.721 (#172) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1089 (#146) | RD 123 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Bradford
|
- | 33 | 28.3 | 13.5 | 3.8 | 1.5 | 1.0 | 0.1 | 2.0 | 9.8 | 8.2 | -33 | -1.4 | -2.4 | 45.4 | 29.6 | 78.4 | -0.16 | 57.0 | 50.3 |
D. Mingo
|
- | 32 | 27.7 | 12.7 | 3.4 | 4.6 | 0.9 | 0.0 | 2.1 | 9.5 | 10.1 | 24 | 1.0 | 1.8 | 43.3 | 37.1 | 75.9 | 0.31 | 56.9 | 52.0 |
A. Bonke
|
- | 33 | 25.7 | 10.7 | 8.2 | 1.0 | 0.2 | 1.5 | 1.6 | 7.3 | 12.7 | 3 | 0.4 | 0.8 | 57.4 | 33.3 | 66.0 | 0.11 | 62.1 | 59.9 |
D. Harrison
|
G | 29 | 21.2 | 10.0 | 2.3 | 0.8 | 0.3 | 0.1 | 1.0 | 7.2 | 5.3 | 6 | 1.0 | 22.9 | 46.6 | 39.9 | 80.0 | 0.09 | 64.1 | 61.8 |
A. Conyers
|
F | 31 | 19.4 | 7.5 | 1.5 | 0.4 | 0.3 | 0.2 | 0.6 | 5.9 | 3.4 | -7 | -0.3 | -0.8 | 41.2 | 35.9 | 83.3 | -0.12 | 58.4 | 55.2 |
M. Freeman
|
- | 27 | 17.1 | 6.4 | 2.0 | 1.2 | 0.5 | 0.0 | 0.9 | 5.4 | 3.9 | -15 | -0.6 | -1.7 | 40.4 | 36.1 | 65.8 | 0.05 | 53.2 | 50.7 |
D. Gomez
|
- | 2 | 19.5 | 5.0 | 3.5 | 0.5 | 0.5 | 1.5 | 0.5 | 3.5 | 7.0 | -9 | -4.5 | -9.2 | 57.1 | 66.7 | 0 | -0.0 | 71.4 | 71.4 |
S. Elliott
|
F | 33 | 17.0 | 4.1 | 2.7 | 1.0 | 0.3 | 0.6 | 0.6 | 3.5 | 4.7 | 31 | 1.3 | 3.9 | 47.4 | 24.0 | 50.0 | 0.51 | 51.0 | 50.0 |
J. Elouna Eyenga
|
- | 24 | 18.4 | 3.5 | 3.0 | 0.7 | 0.4 | 0.1 | 0.9 | 2.9 | 3.9 | -88 | -0.3 | -5.2 | 45.7 | 29.6 | 56.5 | -1.06 | 53.0 | 51.4 |
K. Mading
|
C | 17 | 7.6 | 3.3 | 1.0 | 0.1 | 0.1 | 0.3 | 0.4 | 2.3 | 2.0 | -52 | -4.0 | -19.3 | 56.4 | 35.7 | 77.8 | -0.66 | 65.2 | 62.8 |
E. Butler
|
- | 27 | 13.4 | 3.2 | 2.0 | 0.7 | 0.2 | 0.3 | 0.6 | 2.3 | 3.6 | 5 | 0.2 | 0.7 | 46.8 | 42.9 | 80.0 | 0.15 | 59.6 | 54.0 |
R. Villar
|
- | 32 | 11.9 | 3.2 | 1.6 | 1.2 | 0.6 | 0.0 | 0.6 | 2.1 | 4.0 | 10 | 0.5 | 1.6 | 38.8 | 29.6 | 81.5 | -0.18 | 57.3 | 44.8 |
K. Blackmon
|
- | 28 | 10.8 | 2.0 | 1.2 | 0.4 | 0.2 | 0.0 | 0.4 | 1.8 | 1.8 | -33 | -1.6 | -5.9 | 31.4 | 32.4 | 63.6 | -0.26 | 47.0 | 42.2 |
N. Richart
|
F | 23 | 6.7 | 0.3 | 1.3 | 0.3 | 0.1 | 0.2 | 0.2 | 0.2 | 1.9 | -22 | -1.6 | -9.1 | 75.0 | 0 | 25.0 | -0.48 | 53.2 | 75.0 |
A. Bailey
|
- | 4 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1 | -0.3 | -18.0 | 0 | 0 | 0.0 | -0.02 | 0.0 | 0 |
Frank Oguche
|
G | 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