Toyota Antelopes
Season:
2025
Also known as: Toyota Antelopes
Program History
2025 Team Stats (2 games)
56.5
PPG
101.5
Opp
-45.0
Margin
32.8%
FG%
25.4%
3P%
86.7%
FT%
25.0
RPG
16.5
APG
16.0
TO
81.8
Pace
66.8
AdjO
93.1
AdjD
#16
Rank
Model Outputs
2025
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 → | 941 (#13) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 881 (#14) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 995 (#12) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -37.1 (#16) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -22.5 (#17) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.000 (#16) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.000 (#16) | NetEff -59.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.008 (#16) | AdjNet -33.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.007 (#16) | AdjNet -34.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.084 (#16) | AdjO 66.8 | AdjD 93.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.444 (#12) | AdjO 80.6 | AdjD 83.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.122 (#16) | 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 → | 0.177 (#16) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 847 (#15) | RD 350 | GP 2 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-05-10 | @ | Dallas Wings | L | 52 - 119 |
| 2025-05-12 | @ | New York Liberty | L | 61 - 84 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Miura
|
NA | 2 | 31.5 | 13.5 | 1.5 | 3.0 | 0.0 | 0.0 | 3.0 | 12.5 | 2.5 | - | - | - | 32.0 | 33.3 | 100.0 | - | 49.6 | 44.0 |
Y. Onodera
|
G | 2 | 27.0 | 9.5 | 2.0 | 7.0 | 1.0 | 0.0 | 2.0 | 12.5 | 5.0 | - | - | - | 28.0 | 30.8 | 100.0 | - | 37.3 | 36.0 |
M. Kaneda
|
G | 2 | 25.5 | 8.0 | 1.0 | 0.5 | 1.5 | 0.0 | 0.0 | 5.5 | 5.5 | - | - | - | 45.5 | 44.4 | 100.0 | - | 67.3 | 63.6 |
M. Okamoto
|
NA | 2 | 22.5 | 6.0 | 4.0 | 0.5 | 0.0 | 0.5 | 0.5 | 9.0 | 1.5 | - | - | - | 27.8 | 20.0 | 0 | - | 33.3 | 33.3 |
U. Tanaka
|
NA | 2 | 21.0 | 5.5 | 4.5 | 1.0 | 2.0 | 1.0 | 1.0 | 9.5 | 3.5 | - | - | - | 26.3 | 10.0 | 0 | - | 28.9 | 28.9 |
Heilala Palei
|
C | 2 | 16.0 | 4.0 | 3.0 | 0.5 | 0.0 | 0.0 | 2.0 | 3.5 | 2.0 | - | - | - | 57.1 | 0 | 0 | - | 57.1 | 57.1 |
M. Nagata
|
G | 2 | 20.0 | 4.0 | 2.5 | 1.0 | 0.5 | 0.0 | 2.5 | 2.5 | 3.0 | - | - | - | 60.0 | 0.0 | 66.7 | - | 63.3 | 60.0 |
S. Amaka Okonkwo
|
C | 2 | 22.5 | 3.5 | 6.5 | 0.0 | 0.5 | 0.5 | 1.5 | 2.0 | 7.5 | - | - | - | 75.0 | 0 | 50.0 | - | 71.7 | 75.0 |
R. Furuki
|
G | 2 | 15.0 | 2.5 | 0.0 | 3.0 | 0.0 | 0.0 | 3.5 | 5.5 | -3.5 | - | - | - | 9.1 | 10.0 | 100.0 | - | 21.0 | 13.6 |
Chinami Yokoyama
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
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