Pascal Gross’ goals at home and away
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Against his share of what his opponents usually allowed midfielders, Pascal Gross was 0.18 goals over at home and 0.34 goals over away in 2026-27, 4 games against 5. The plain averages are 0.25 and 0.40, a difference of 0.15. Both games vs top-half teams were away.
4 games at home is still too small a sample for the statistics to say much, but maybe you can find something if you squint.
goals a game over expected
at home
+0.18
away
+0.34
00.5
A −0.16 difference in goals over expected at home vs away is about what you’d expect.
plain
0.25
0.40
00.51
A −0.15 difference in goals at home vs away is about what you’d expect.
The games
at homeaway
| Side | Date | Game | Result | goals | Expected |
|---|---|---|---|---|---|
| Aug 23, 2026 | vs Aston Villa | W | 0 | 0.06 | |
| Aug 30, 2026 | @ Chelsea | L | 1 | 0.04 | |
| Sep 5, 2026 | vs Leeds United | T | 0 | 0.06 | |
| Sep 13, 2026 | @ Coventry City | W | 1 | 0.06 | |
| Sep 19, 2026 | vs Arsenal | W | 1 | 0.03 | |
| Oct 10, 2026 | @ Sunderland | W | 0 | 0.12 | |
| Oct 18, 2026 | vs Crystal Palace | W | 0 | 0.13 | |
| Oct 25, 2026 | @ Liverpool | L | 0 | 0.06 | |
| Oct 31, 2026 | @ Manchester City | W | 0 | 0.03 |
Method
- Expected is what the opponent allowed midfielders in its other 2026-27 games, plus 0.10 for the home team (half the league’s home edge for midfielders that season), nothing at a neutral site, scaled to his share of his team’s midfielders’ goals in his games, 23%.
- Each expected number is then fit to the season’s games: a game bears out about 68% 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.