Jonathan David’s goals at home and away
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Against his share of what his opponents usually allowed forwards, Jonathan David was 0.32 goals over at home and 0.18 goals under away in 2026-27, 3 games against 6. The plain averages are 0.67 and 0.17, a difference of 0.50. Both league games after a Champions League game were away.
3 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
+0.32
away
−0.18
00.5
A +0.49 difference in goals over expected at home vs away is about what you’d expect.
plain
0.67
0.17
00.51
A +0.50 difference in goals at home vs away is about what you’d expect.
The games
at homeaway
| Side | Date | Game | Result | goals | Expected |
|---|---|---|---|---|---|
| Sep 9, 2026 | @ | L | 0 | 0.29 | |
| Sep 13, 2026 | @ | W | 1 | 0.32 | |
| Sep 16, 2026 | vs | W | 1 | 0.51 | |
| Sep 20, 2026 | vs | W | 1 | 0.25 | |
| Oct 10, 2026 | @ | W | 0 | 0.43 | |
| Oct 13, 2026 | vs | W | 0 | 0.29 | |
| Oct 17, 2026 | @ | W | 0 | 0.29 | |
| Oct 20, 2026 | @ | T | 0 | 0.25 | |
| Oct 31, 2026 | @ | W | 0 | 0.47 |
Method
- Expected is what the opponent allowed forwards in its other 2026-27 games, plus 0.09 for the home team (half the league’s home edge for forwards that season), nothing at a neutral site, scaled to his share of his team’s forwards’ goals in his games, 43%.
- Each expected number is then fit to the season’s games: a game bears out about 83% 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.