Toledo Rockets
2026 Team Stats (29 games)
65.9
PPG
62.2
Opp
+3.7
Margin
42.8%
FG%
29.7%
3P%
74.3%
FT%
37.4
RPG
13.0
APG
17.7
TO
81.2
Pace
62.9
AdjO
61.9
AdjD
#151
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 → | 1086 (#125) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1008 (#172) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1058 (#114) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.4 (#145) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.0 (#121) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.568 (#148) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.594 (#146) | NetEff +3.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.586 (#144) | AdjNet +3.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.587 (#143) | AdjNet +3.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.522 (#151) | AdjO 62.9 | AdjD 61.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.608 (#119) | AdjO 63.1 | AdjD 58.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.805 (#136) | 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 → | 0.778 (#134) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1082 (#152) | RD 122 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
P. Anumgba
|
G | 29 | 29.8 | 13.4 | 3.7 | 2.0 | 2.0 | 0.0 | 2.4 | 11.8 | 6.8 | 53 | 2.4 | 3.7 | 40.5 | 34.1 | 79.0 | 3.43 | 51.2 | 47.2 |
K. Carruthers
|
G | 28 | 29.8 | 12.0 | 3.1 | 3.1 | 1.2 | 0.2 | 3.2 | 9.8 | 6.6 | 14 | 0.7 | 1.0 | 41.1 | 28.8 | 81.0 | -0.5 | 52.8 | 46.5 |
F. Fedd-Robinson
|
G | 21 | 28.5 | 12.0 | 7.2 | 2.2 | 1.2 | 0.6 | 3.0 | 9.4 | 10.8 | 22 | 1.0 | 1.5 | 51.5 | 23.8 | 72.4 | 0.93 | 56.1 | 52.8 |
E. Weaver
|
G | 29 | 27.7 | 9.5 | 3.9 | 0.8 | 1.0 | 0.2 | 1.8 | 8.4 | 5.3 | -11 | -0.5 | -1.1 | 37.9 | 34.4 | 78.7 | -0.92 | 52.1 | 49.0 |
M. Diala
|
F | 27 | 21.3 | 7.4 | 5.0 | 1.2 | 0.8 | 0.2 | 1.7 | 5.8 | 7.1 | 24 | 1.2 | 2.3 | 53.8 | 0.0 | 67.4 | 1.26 | 56.5 | 53.8 |
E. Cole
|
PF | 24 | 24.9 | 6.8 | 5.0 | 1.4 | 0.6 | 0.7 | 1.5 | 6.1 | 6.9 | 75 | 3.6 | 5.7 | 44.2 | 15.9 | 81.2 | 2.78 | 50.6 | 46.6 |
E. Carrier
|
C | 27 | 10.7 | 3.6 | 3.0 | 0.7 | 0.3 | 0.3 | 0.9 | 2.6 | 4.4 | -25 | -1.3 | -6.0 | 47.1 | 33.3 | 78.4 | -2.65 | 55.6 | 47.9 |
C. Dykstra
|
G | 29 | 20.9 | 2.7 | 2.2 | 1.9 | 0.5 | 0.1 | 1.9 | 2.5 | 3.1 | 16 | 0.8 | 1.9 | 41.7 | 0.0 | 64.3 | -2.53 | 46.3 | 41.7 |
A. Hocevar
|
G | 24 | 10.7 | 2.6 | 2.4 | 0.6 | 0.2 | 0.1 | 1.3 | 2.5 | 2.1 | -44 | -2.2 | -8.5 | 31.7 | 24.1 | 66.7 | -1.46 | 43.8 | 37.5 |
C. VandenBosch
|
G | 14 | 10.6 | 2.4 | 1.0 | 0.1 | 0.3 | 0.0 | 0.3 | 2.9 | 0.5 | - | - | - | 31.7 | 23.1 | 25.0 | - | 38.6 | 39.0 |
L. Puot
|
F | 19 | 6.6 | 1.4 | 1.3 | 0.4 | 0.2 | 0.2 | 0.5 | 0.9 | 2.0 | -2 | -0.1 | -1.2 | 52.9 | 75.0 | 50.0 | -0.75 | 60.7 | 61.8 |
K. Braden
|
G | 2 | 5.5 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.5 | 1.0 | -0.5 | -19 | -6.3 | -31.6 | 50.0 | 0.0 | 0 | -0.95 | 50.0 | 50.0 |
D. Robinson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
E. Dykstra
|
G | 20 | 4.5 | 0.0 | 0.2 | 0.1 | 0.1 | 0.1 | 0.3 | 0.6 | -0.3 | -19 | -1.4 | -15.7 | 0.0 | 0.0 | 0.0 | -4.12 | 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