Putting Up Numbers· Soccer

St. Pauli’s goals at home and away

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Against what the season’s ratings expected, St. Pauli was 0.12 goals under at home and 0.16 goals under away in 2025-26, 17 games against 17. The plain averages are 1.00 and 0.71, a difference of 0.29.

St. Pauli’s +0.05 at home vs away over expected ranks 59th 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
St. Pauli’s games, 2025-26, each marked at home or away
SideDateGameResultgoalsExpected
Aug 23, 2025vsBorussia DortmundT30.71
Aug 29, 2025@Hamburg SVW20.76
Sep 14, 2025vsFC AugsburgW21.20
Sep 19, 2025@VfB StuttgartL00.78
Sep 27, 2025vsBayer LeverkusenL10.88
Oct 4, 2025@Werder BremenL01.00
Oct 19, 2025vsTSG HoffenheimL01.11
Oct 25, 2025@Eintracht FrankfurtL01.19
Nov 1, 2025vsBorussia MönchengladbachL01.10
Nov 9, 2025@SC FreiburgL10.90
Nov 23, 2025vs1. FC Union BerlinL01.22
Nov 29, 2025@Bayern MunichL10.43
Dec 6, 2025@FC CologneT11.04
Dec 13, 2025vs1. FC Heidenheim 1846W21.45
Dec 21, 2025@MainzT00.84
Jan 14, 2026@VfL WolfsburgL11.17
Jan 17, 2026@Borussia DortmundL20.49
Jan 23, 2026vsHamburg SVT01.12
Jan 27, 2026vsRB LeipzigT10.94
Jan 31, 2026@FC AugsburgL10.98
Feb 7, 2026vsVfB StuttgartW20.95
Feb 14, 2026@Bayer LeverkusenL00.66
Feb 22, 2026vsWerder BremenW21.16
Feb 28, 2026@TSG HoffenheimW10.80
Mar 8, 2026vsEintracht FrankfurtT01.45
Mar 13, 2026@Borussia MönchengladbachL00.84
Mar 22, 2026vsSC FreiburgL11.16
Apr 5, 2026@1. FC Union BerlinT10.91
Apr 11, 2026vsBayern MunichL00.73
Apr 17, 2026vsFC CologneT11.30
Apr 25, 2026@1. FC Heidenheim 1846L01.28
May 3, 2026vsMainzL11.05
May 9, 2026@RB LeipzigL10.68
May 16, 2026vsVfL WolfsburgL11.43

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.