Putting Up Numbers· Soccer

Girona’s goals at home and away

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Against what the season’s ratings expected, Girona was 0.14 goals under at home and 0.05 goals under away in 2025-26, 19 games against 19. The plain averages are 1.11 and 0.95, a difference of 0.16. Expected was 0.25 goals higher at home than away.

Girona’s −0.10 at home vs away over expected ranks 75th of the 103 teams with 5 games on each side in 2025-26.

goals a game over expected

A −0.10 difference in goals over expected at home vs away is about what you’d expect.

A +0.16 difference in goals at home vs away is about what you’d expect.

The games

at homeaway
Girona’s games, 2025-26, each marked at home or away
SideDateGameResultgoalsExpected
Aug 15, 2025vsRayo VallecanoL11.09
Aug 24, 2025@VillarrealL01.05
Aug 30, 2025vsSevillaL01.47
Sep 14, 2025@Celta VigoT10.92
Sep 20, 2025vsLevanteL01.49
Sep 23, 2025@Athletic ClubT11.10
Sep 26, 2025vsEspanyolT01.36
Oct 4, 2025vsValenciaW21.28
Oct 18, 2025@BarcelonaL10.78
Oct 25, 2025vsReal OviedoT31.32
Oct 31, 2025@GetafeL10.69
Nov 8, 2025vsAlavésW11.34
Nov 23, 2025@Real BetisT10.93
Nov 30, 2025vsReal MadridT10.94
Dec 7, 2025@ElcheL01.15
Dec 12, 2025@Real SociedadW21.16
Dec 21, 2025vsAtlético MadridL01.14
Jan 4, 2026@MallorcaW21.06
Jan 10, 2026vsOsasunaW11.22
Jan 16, 2026@EspanyolW21.02
Jan 26, 2026vsGetafeT10.95
Jan 31, 2026@Real OviedoL01.19
Feb 8, 2026@SevillaT11.17
Feb 16, 2026vsBarcelonaW21.00
Feb 23, 2026@AlavésT21.04
Mar 1, 2026vsCelta VigoL11.18
Mar 7, 2026@LevanteT11.19
Mar 14, 2026vsAthletic ClubW31.29
Mar 21, 2026@OsasunaL01.00
Apr 6, 2026vsVillarrealW11.27
Apr 10, 2026@Real MadridT10.68
Apr 21, 2026vsReal BetisL21.15
Apr 25, 2026@ValenciaL11.06
May 1, 2026vsMallorcaL01.41
May 11, 2026@Rayo VallecanoT10.83
May 14, 2026vsReal SociedadT11.46
May 17, 2026@Atlético MadridL00.89
May 23, 2026vsElcheT11.37

Method

Read against .

  • Expected is an offense and a defense a team, fit over every 2025-26 game between two teams in the table with the game being read left out, plus 0.16 for the home team (the edge the fit finds once strength is in), nothing at a neutral site.
  • Each expected number is then fit to the season’s games: a game bears out about 75% 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.