Marc Bartra’s goals at home and away
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Against his share of what his opponents usually allowed defenders, Marc Bartra was 0.14 goals over at home and 0.50 goals over away in 2026-27, 5 games against 5. The plain averages are 0.20 and 0.60, a difference of 0.40. Both games vs top-half teams were away.
goals a game over expected
at home
+0.14
away
+0.50
01
A −0.36 difference in goals over expected at home vs away is about what you’d expect.
plain
0.20
0.60
00.511.52
A −0.40 difference in goals at home vs away is about what you’d expect.
The games
at homeaway
| Side | Date | Game | Result | goals | Expected |
|---|---|---|---|---|---|
| Aug 21, 2026 | vs | W | 0 | 0.14 | |
| Aug 29, 2026 | @ | L | 1 | 0.12 | |
| Sep 4, 2026 | vs | W | 0 | 0.11 | |
| Sep 8, 2026 | @ | W | 2 | 0.11 | |
| Sep 14, 2026 | @ | W | 0 | 0.19 | |
| Sep 20, 2026 | @ | T | 0 | 0.06 | |
| Oct 14, 2026 | vs | W | 0 | 0.01 | |
| Oct 21, 2026 | vs | W | 0 | 0.01 | |
| Oct 25, 2026 | @ | T | 0 | -0.01 | |
| Oct 31, 2026 | vs | W | 1 | 0.01 |
Method
- Expected is what the opponent allowed defenders in its other 2026-27 games, plus 0.01 for the home team (half the league’s home edge for defenders that season), nothing at a neutral site, scaled to his share of his team’s defenders’ goals in his games, 80%.
- Each expected number is then fit to the season’s games: a game bears out about 82% of the difference the model predicts.
- The shuffle keeps the season’s shape: the games are cut into stretches, one a 10 games, where the dates leave the least variance, each game is read against its stretch, and the sides are shuffled only inside each stretch.