BILBAO BASKET
Model Outputs
2013-2014 latest available
No materialized model snapshot for 2016 yet, so this section is showing the latest available team-model rows.
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 → | 1025 (#16) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 949 (#38) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +4.4 (#12) | HCA +4.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.634 (#10) | - |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2016-10-19 | vs | ALBA BERLIN | W | 93 - 86 |
| 2016-10-26 | vs | LIETUVOS RYTAS VILNIUS | W | 80 - 76 |
| 2016-11-02 | @ | MONTAKIT FUENLABRADA | L | 78 - 89 |
| 2016-11-09 | vs | KHIMKI MOSCOW REGION | L | 72 - 91 |
| 2016-11-23 | @ | ALBA BERLIN | W | 92 - 88 |
| 2016-11-30 | @ | LIETUVOS RYTAS VILNIUS | L | 71 - 83 |
| 2016-12-07 | vs | MONTAKIT FUENLABRADA | W | 97 - 83 |
| 2016-12-14 | @ | KHIMKI MOSCOW REGION | L | 78 - 99 |
2016 Roster
Minutes by Position
Not enough player minute data to plot.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BAMFORTH, SCOTT | - | 8 | 25.9 | 13.0 | 3.0 | 2.8 | 0.4 | 0.1 | 1.9 | 10.2 | 7.1 | 1 | 0.1 | 0.2 | 47.6 | 40.5 | 90.0 | - | - | - |
| HERVELLE, AXEL | - | 8 | 25.2 | 8.0 | 3.9 | 2.6 | 1.4 | 0.1 | 0.9 | 5.6 | 9.5 | -39 | -4.9 | -7.7 | 48.9 | 44.4 | 57.1 | - | - | - |
| TODOROVIC, DEJAN | - | 8 | 19.8 | 8.5 | 3.8 | 1.5 | 0.6 | 0.1 | 1.6 | 6.8 | 6.1 | -50 | -6.2 | -12.6 | 44.4 | 36.4 | 88.9 | - | - | - |
| MUMBRU, ALEX | - | 8 | 19.4 | 10.2 | 1.5 | 2.2 | 0.9 | 0.0 | 2.4 | 7.6 | 4.9 | -12 | -1.5 | -3.1 | 42.6 | 25.7 | 80.8 | - | - | - |
| LAPORNIK, MIHA | - | 8 | 18.2 | 6.9 | 1.5 | 0.5 | 0.4 | 0.1 | 0.5 | 5.2 | 3.6 | -14 | -1.8 | -3.9 | 42.9 | 38.5 | 64.3 | - | - | - |
| BORG, TOBIAS | - | 8 | 17.8 | 4.5 | 1.8 | 3.9 | 0.6 | 0.0 | 0.8 | 3.5 | 6.5 | 17 | 2.1 | 4.8 | 42.9 | 45.5 | 77.8 | - | - | - |
| BUVA, IVAN | - | 7 | 19.5 | 13.1 | 4.4 | 1.0 | 0.4 | 0.1 | 1.3 | 9.1 | 8.7 | -26 | -3.7 | -7.6 | 60.9 | 44.4 | 76.9 | - | - | - |
| ERIC, MICHAEL | - | 7 | 18.6 | 10.0 | 4.1 | 0.4 | 0.7 | 1.0 | 2.0 | 6.0 | 8.3 | -4 | -0.6 | -1.2 | 66.7 | 0.0 | 56.0 | - | - | - |
| TABU, JONATHAN | - | 5 | 22.7 | 5.8 | 1.6 | 3.2 | 0.6 | 0.0 | 1.2 | 8.0 | 2.0 | -15 | -3.0 | -5.3 | 22.5 | 25.0 | 100.0 | - | - | - |
| MENDIA, BORJA | - | 8 | 10.9 | 1.4 | 0.6 | 0.0 | 0.1 | 0.0 | 0.2 | 0.8 | 1.1 | 21 | 2.6 | 9.7 | 50.0 | 50.0 | 100.0 | - | - | - |
| NIKOLIC, DANILO | - | 7 | 10.6 | 2.6 | 1.1 | 0.4 | 0.3 | 0.1 | 0.3 | 2.9 | 1.4 | -28 | -4.0 | -15.1 | 35.0 | 30.8 | 0.0 | - | - | - |
| SALGADO, JAVI | - | 8 | 7.9 | 1.1 | 0.5 | 1.5 | 0.0 | 0.0 | 0.6 | 2.1 | 0.4 | -26 | -3.2 | -16.5 | 23.5 | 9.1 | 0.0 | - | - | - |
| DE LA RUA, DANIEL | - | 1 | 47.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 7 | 7.0 | 6.0 | 100.0 | 100.0 | 0.0 | - | - | - |
| VUCETIC, VASILIJE | - | 1 | 9.5 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 | -9 | -9.0 | -38.0 | 0.0 | 0.0 | 75.0 | - | - | - |
| LLORENTE, SERGIO | - | 3 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | -0.7 | -3 | -1.0 | -13.4 | 0.0 | 0.0 | 0.0 | - | - | - |
| IRIARTE, DAVID | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 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