Putting Up Numbers· Soccer

VfL Wolfsburg’s goals at home and away

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Against what the season’s ratings expected, VfL Wolfsburg was 0.25 goals under at home and 0.20 goals over away in 2025-26, 17 games against 17. The plain averages are 1.24 and 1.41, a difference of 0.18. Expected was 0.27 goals higher at home than away.

VfL Wolfsburg’s −0.45 at home vs away over expected ranks 96th of the 103 teams with 5 games on each side in 2025-26.

goals a game over expected

A −0.45 difference in goals over expected at home vs away is about what you’d expect.

A −0.18 difference in goals at home vs away is about what you’d expect.

The games

at homeaway
VfL Wolfsburg’s games, 2025-26, each marked at home or away
SideDateGameResultgoalsExpected
Aug 23, 2025@1. FC Heidenheim 1846W31.53
Aug 31, 2025vsMainzT11.45
Sep 13, 2025vsFC CologneT31.59
Sep 21, 2025@Borussia DortmundL00.96
Sep 27, 2025vsRB LeipzigL01.38
Oct 4, 2025@FC AugsburgL11.37
Oct 18, 2025vsVfB StuttgartL01.44
Oct 25, 2025@Hamburg SVW11.20
Nov 2, 2025vsTSG HoffenheimL21.40
Nov 7, 2025@Werder BremenL11.34
Nov 22, 2025vsBayer LeverkusenL11.27
Nov 30, 2025@Eintracht FrankfurtT11.54
Dec 6, 2025vs1. FC Union BerlinW31.47
Dec 13, 2025@Borussia MönchengladbachW31.09
Dec 20, 2025vsSC FreiburgL31.46
Jan 11, 2026@Bayern MunichL10.82
Jan 14, 2026vsSt. PauliW21.54
Jan 17, 2026vs1. FC Heidenheim 1846T11.89
Jan 24, 2026@MainzL11.18
Jan 30, 2026@FC CologneL01.47
Feb 7, 2026vsBorussia DortmundL11.18
Feb 15, 2026@RB LeipzigT21.02
Feb 21, 2026vsFC AugsburgL21.59
Mar 1, 2026@VfB StuttgartL01.17
Mar 7, 2026vsHamburg SVL11.46
Mar 14, 2026@TSG HoffenheimT11.19
Mar 21, 2026vsWerder BremenL01.65
Apr 4, 2026@Bayer LeverkusenL30.92
Apr 11, 2026vsEintracht FrankfurtL11.80
Apr 18, 2026@1. FC Union BerlinW21.25
Apr 25, 2026vsBorussia MönchengladbachT01.49
May 3, 2026@SC FreiburgT11.29
May 9, 2026vsBayern MunichL01.12
May 16, 2026@St. PauliW31.23

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.