Etta Eyong’s goals at home and away
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Against his share of what his opponents usually allowed forwards, Etta Eyong was 0.13 goals under at home and 0.91 goals under away in 2026-27, 3 games against 3. The plain averages are 0.33 and 0.00, a difference of 0.33. Expected was 0.44 goals lower at home than 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
−0.13
away
−0.91
-1-0.500.5
A +0.78 difference in goals over expected at home vs away is a bit unusual: shuffle which games were at home and it comes up 10 times in 100.
plain
0.33
0.00
00.51
A +0.33 difference in goals at home vs away is about what you’d expect.
The games
at homeaway
| Side | Date | Game | Result | goals | Expected |
|---|---|---|---|---|---|
| Aug 16, 2026 | @ | L | 0 | 0.67 | |
| Aug 24, 2026 | @ | T | 0 | 1.13 | |
| Aug 29, 2026 | vs | W | 0 | 0.59 | |
| Oct 21, 2026 | vs | W | 1 | 0.35 | |
| Oct 25, 2026 | @ | L | 0 | 0.92 | |
| Oct 31, 2026 | vs | L | 0 | 0.46 |
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, 100%.
- 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.