Putting Up Numbers· Soccer

1. FC Heidenheim 1846’s goals at home and away

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Against what the season’s ratings expected, 1. FC Heidenheim 1846 was 0.03 goals under at home and 0.08 goals under away in 2025-26, 17 games against 17. The plain averages are 1.35 and 1.06, a difference of 0.29.

1. FC Heidenheim 1846’s +0.05 at home vs away over expected ranks 56th of the 103 teams with 5 games on each side in 2025-26.

goals a game over expected

A +0.05 difference in goals over expected at home vs away is about what you’d expect.

A +0.29 difference in goals at home vs away is about what you’d expect.

The games

at homeaway
1. FC Heidenheim 1846’s games, 2025-26, each marked at home or away
SideDateGameResultgoalsExpected
Aug 23, 2025vsVfL WolfsburgL11.74
Aug 30, 2025@RB LeipzigL01.03
Sep 13, 2025vsBorussia DortmundL01.13
Sep 20, 2025@Hamburg SVL11.11
Sep 27, 2025vsFC AugsburgW21.50
Oct 5, 2025@VfB StuttgartL01.08
Oct 18, 2025vsWerder BremenT21.46
Oct 25, 2025@TSG HoffenheimL11.10
Nov 1, 2025vsEintracht FrankfurtT11.71
Nov 8, 2025@Bayer LeverkusenL00.96
Nov 22, 2025vsBorussia MönchengladbachL01.40
Nov 29, 2025@1. FC Union BerlinW21.16
Dec 6, 2025vsSC FreiburgW21.41
Dec 13, 2025@St. PauliL11.24
Dec 21, 2025vsBayern MunichL01.03
Jan 10, 2026vsFC CologneT21.55
Jan 13, 2026@MainzL11.09
Jan 17, 2026@VfL WolfsburgT11.47
Jan 24, 2026vsRB LeipzigL01.29
Feb 1, 2026@Borussia DortmundL20.79
Feb 7, 2026vsHamburg SVL01.42
Feb 15, 2026@FC AugsburgL01.33
Feb 22, 2026vsVfB StuttgartT31.20
Feb 28, 2026@Werder BremenL01.30
Mar 7, 2026vsTSG HoffenheimL21.31
Mar 14, 2026@Eintracht FrankfurtL01.49
Mar 21, 2026vsBayer LeverkusenT31.09
Apr 4, 2026@Borussia MönchengladbachT21.04
Apr 11, 2026vs1. FC Union BerlinW31.38
Apr 19, 2026@SC FreiburgL11.20
Apr 25, 2026vsSt. PauliW21.45
May 2, 2026@Bayern MunichT30.65
May 10, 2026@FC CologneW31.24
May 16, 2026vsMainzL01.40

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.