Putting Up Numbers· Soccer

Thibaut Courtois’ goals prevented at home and away

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Against his share of what his opponents usually allowed goalkeepers, Thibaut Courtois was 0.36 goals over at home and 0.25 goals under away in 2026-27, 7 games against 6. The plain averages are 0.36 and -0.25, a difference of 0.60. Both games vs bottom-half teams were away. Both league games after a Champions League game were at home.

goals prevented a game over expected

A +0.60 difference in goals prevented over expected at home vs away is a bit unusual: shuffle which games were at home and it comes up 17 times in 100.

A +0.60 difference in goals prevented at home vs away is a bit unusual: shuffle which games were at home and it comes up 18 times in 100.

The games

at homeaway
Thibaut Courtois’ games, 2026-27, each marked at home or away
SideDateGameResultPreventedExpected
Aug 22, 2026@EspanyolW0.16-0.00
Aug 26, 2026vsReal SociedadW-0.280.00
Aug 30, 2026vsMálagaW0.24-0.00
Sep 4, 2026@Real BetisL0.07-0.00
Sep 8, 2026vsInternazionaleW0.43-0.00
Sep 12, 2026vsRayo VallecanoW0.08-0.00
Sep 15, 2026@ElcheW-1.18-0.00
Sep 20, 2026@Atlético MadridL0.850.00
Oct 10, 2026vsVillarrealW0.95-0.00
Oct 14, 2026@AS RomaW-1.640.00
Oct 18, 2026vsSevillaW0.740.00
Oct 21, 2026vsRB LeipzigW0.34-0.00
Nov 1, 2026@Racing SantanderW0.260.00

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.