Jonathan Clauss’ goals at home and away
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Against his share of what his opponents usually allowed defenders, Jonathan Clauss was 0.20 goals over at home and 0.17 goals under away in 2026-27, 5 games against 4. The plain averages are 0.40 and 0.00, a difference of 0.40.
4 games away 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
+0.20
away
−0.17
00.5
A +0.37 difference in goals over expected at home vs away is a bit unusual: shuffle which games were at home and it comes up 13 times in 100.
plain
0.40
0.00
00.51
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 22, 2026 | vs Lorient | T | 0 | 0.13 | |
| Aug 30, 2026 | @ Paris FC | L | 0 | -0.01 | |
| Sep 5, 2026 | vs Le Mans | T | 0 | 0.22 | |
| Sep 12, 2026 | @ AJ Auxerre | L | 0 | 0.50 | |
| Sep 20, 2026 | vs Lille | W | 0 | 0.31 | |
| Oct 11, 2026 | vs Strasbourg | W | 1 | 0.11 | |
| Oct 18, 2026 | @ Lyon | L | 0 | 0.09 | |
| Oct 23, 2026 | @ Brest | W | 0 | 0.10 | |
| Oct 30, 2026 | vs Stade Rennais | W | 1 | 0.22 |
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, 100%.
- 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.