Arkansas
2026 Team Stats (37 games)
90.2
PPG
81.0
Opp
+9.2
Margin
50.1%
FG%
38.2%
3P%
75.1%
FT%
36.0
RPG
17.2
APG
9.0
TO
83.7
Pace
93.8
AdjO
73.2
AdjD
#17
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 β | 1374 (#8) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 1279 (#25) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 1148 (#18) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 953 (#596) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | +20.2 (#17) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +31.6 (#16) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +11.5 (#209) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β | 0.774 (#37) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More β | 0.973 (#15) | NetEff +37.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.953 (#20) | AdjNet +26.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.954 (#20) | AdjNet +26.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More β | 0.867 (#17) | AdjO 93.8 | AdjD 73.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.759 (#19) | AdjO 89.6 | AdjD 77.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.557 (#172) | AdjO 78.9 | AdjD 76.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.955 (#14) | 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. More β | 0.728 (#202) | 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 β | 0.940 (#14) | 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 β | 0.688 (#203) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 1346 (#15) | RD 92 | GP 37 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 1025 (#218) | RD 133 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Darius Acuff Jr.
|
- | 36 | 35.2 | 23.5 | 3.1 | 6.4 | 0.8 | 0.3 | 2.2 | 16.5 | 15.4 | 143 | 6.5 | 8.5 | 48.4 | 44.0 | 80.9 | 1.14 | 61.1 | 56.1 |
Meleek Thomas
|
- | 37 | 30.5 | 15.6 | 3.8 | 2.5 | 1.5 | 0.2 | 1.0 | 12.6 | 10.1 | 198 | 9.0 | 14.5 | 43.3 | 41.6 | 84.3 | 2.1 | 56.2 | 52.1 |
T. Brazile
|
- | 36 | 31.5 | 13.1 | 7.3 | 1.6 | 1.5 | 1.6 | 1.1 | 9.0 | 15.0 | 130 | 5.9 | 12.2 | 52.6 | 34.1 | 71.7 | 0.78 | 62.7 | 59.6 |
B. Richmond III
|
- | 37 | 27.6 | 11.2 | 4.3 | 2.0 | 1.1 | 0.8 | 1.2 | 8.2 | 10.0 | 150 | 7.1 | 13.2 | 56.3 | 25.9 | 78.4 | 1.48 | 61.7 | 58.8 |
M. Ewin
|
F | 37 | 21.0 | 9.8 | 5.7 | 1.0 | 0.7 | 1.1 | 1.2 | 6.0 | 11.2 | 123 | 5.9 | 13.6 | 59.0 | 75.0 | 73.9 | 1.23 | 64.8 | 59.7 |
K. Knox
|
- | 22 | 22.2 | 8.1 | 4.5 | 1.2 | 0.7 | 0.5 | 1.0 | 6.3 | 7.7 | 85 | 4.0 | 7.9 | 46.0 | 37.7 | 72.7 | 0.73 | 58.0 | 55.4 |
D.J. Wagner
|
- | 35 | 23.6 | 7.4 | 1.6 | 2.4 | 0.9 | 0.3 | 0.7 | 6.0 | 5.9 | 114 | 5.2 | 10.1 | 42.9 | 34.6 | 72.4 | 0.65 | 55.0 | 51.7 |
N. Pringle
|
F | 35 | 18.9 | 4.6 | 3.9 | 0.6 | 0.4 | 0.5 | 0.8 | 2.4 | 6.7 | 130 | 5.2 | 12.7 | 72.9 | 0 | 55.9 | 1.31 | 70.5 | 72.9 |
Isaiah Sealy
|
- | 19 | 6.9 | 2.9 | 1.3 | 0.6 | 0.3 | 0.3 | 0.3 | 1.8 | 3.2 | 21 | 1.9 | 9.3 | 50.0 | 0.0 | 75.0 | -0.16 | 59.4 | 50.0 |
J. Karuletwa
|
- | 9 | 2.6 | 0.6 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.6 | 0.4 | -16 | -2.7 | -38.8 | 20.0 | 20.0 | 100.0 | -0.23 | 42.5 | 30.0 |
A. Kelley
|
- | 7 | 1.6 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | -18 | -3.0 | -76.1 | 50.0 | 100.0 | 50.0 | -0.21 | 69.4 | 75.0 |
E. DΕΎafiΔ
|
- | 7 | 2.3 | 0.4 | 0.1 | 0.0 | 0.1 | 0.1 | 0.6 | 0.0 | 0.3 | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
Amere Brown
|
- | 7 | 1.7 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | -0.4 | -18 | -3.0 | -67.3 | 0.0 | 0.0 | 25.0 | -0.22 | 8.7 | 0.0 |
Paulo Semedo
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 2 | 2.0 | 129.7 | - | - | - | 0.05 | - | - |
Karim Rtail
|
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