Melbourne United
Season:
2026
Also known as: MEL
Program History
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 → | 968 (#22) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 999 (#20) | HCA +65 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.8 (#23) | HCA +2.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.202 (#31) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.497 (#21) | AdjO 110.2 | AdjD 110.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.420 (#23) | 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 → | 0.443 (#22) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 935 (#24) | RD 350 | GP 1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Donovan Clingan
|
C | 2 | 9.0 | 7.5 | 1.5 | 0.0 | 0.0 | 0.5 | 0.0 | 5.0 | 4.5 | - | - | - | 60.0 | 42.9 | 0 | - | 75.0 | 75.0 |
Dylan Harper
|
G | 2 | 9.5 | 6.0 | 3.0 | 0.5 | 0.5 | 0.5 | 0.5 | 5.0 | 5.0 | - | - | - | 40.0 | 33.3 | 100.0 | - | 55.1 | 50.0 |
Reed Sheppard
|
G | 2 | 9.0 | 6.0 | 0.5 | 0.5 | 1.0 | 0.0 | 0.0 | 3.0 | 5.0 | - | - | - | 66.7 | 66.7 | 0 | - | 100.0 | 100.0 |
Jeremiah Fears
|
G | 2 | 5.5 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.5 | 3.0 | 3.5 | - | - | - | 66.7 | 66.7 | 0 | - | 83.3 | 83.3 |
Stephon Castle
|
G | 2 | 9.0 | 5.0 | 1.5 | 3.0 | 0.0 | 0.0 | 0.5 | 5.0 | 4.0 | - | - | - | 40.0 | 0.0 | 100.0 | - | 46.0 | 40.0 |
Ace Bailey
|
PG | 2 | 5.5 | 2.5 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.5 | 3.0 | - | - | - | 40.0 | 25.0 | 0 | - | 50.0 | 50.0 |
Collin Murray-Boyles
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 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