Andrei Radu’s goals prevented at home and away
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Against his share of what his opponents usually allowed goalkeepers, Andrei Radu was 0.38 goals over at home and 0.31 goals over away in 2026-27, 6 games against 5. The plain averages are 0.38 and 0.31, a difference of 0.07. All 3 games vs top-half teams were at home. Both games vs bottom-half teams were away.
goals prevented a game over expected
at home
+0.38
away
+0.31
01
A +0.07 difference in goals prevented over expected at home vs away is about what you’d expect.
plain
0.38
0.31
01
A +0.07 difference in goals prevented at home vs away is about what you’d expect.
The games
at homeaway
| Side | Date | Game | Result | Prevented | Expected |
|---|---|---|---|---|---|
| Aug 22, 2026 | @ Valencia | T | 0.36 | -0.00 | |
| Aug 27, 2026 | vs Osasuna | L | -0.54 | -0.01 | |
| Aug 30, 2026 | vs Athletic Club | L | 1.70 | 0.00 | |
| Sep 3, 2026 | @ Real Sociedad | T | 1.16 | 0.00 | |
| Sep 7, 2026 | @ Getafe | T | -0.04 | -0.00 | |
| Sep 13, 2026 | vs Málaga | T | -0.45 | -0.00 | |
| Sep 19, 2026 | vs Racing Santander | W | 0.62 | 0.00 | |
| Oct 11, 2026 | @ Elche | T | 0.39 | -0.00 | |
| Oct 18, 2026 | vs Alavés | W | 0.73 | -0.00 | |
| Oct 25, 2026 | vs Real Betis | T | 0.21 | -0.00 | |
| Oct 31, 2026 | @ Rayo Vallecano | L | -0.34 | -0.00 |
Method
- Expected goals are this site’s model of each shot’s chance, from where it was taken, whether it was a header, and how it was set up (a cross, a through ball, a headed pass, or no pass at all), fit on the 105,024 non-penalty shots of the five leagues and the Champions League since 2024-25 and within 3% of the goals scored in each season. Penalties are left out.
- Expected is what the opponent allowed goalkeepers in its other 2026-27 games, plus 0.00 for the home team (half the league’s home edge for goalkeepers that season), nothing at a neutral site, scaled to his share of his team’s goalkeepers’ goals prevented in his games, 100%.
- Each expected number is then fit to the season’s games: a game bears out about -1% 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.