Putting Up Numbers· Soccer

Michael Olise’s goals at home and away

, ,

Against his share of what his opponents usually allowed midfielders, Michael Olise was 1.20 goals over at home and 0.04 goals over away in 2026-27, 5 games against 5. The plain averages are 1.40 and 0.20, a difference of 1.20.

goals a game over expected

A +1.17 difference in goals over expected at home vs away is a bit unusual: shuffle which games were at home and it comes up 9 times in 100.

A +1.20 difference in goals at home vs away is a bit unusual: shuffle which games were at home and it comes up 9 times in 100.

The games

at homeaway
Michael Olise’s games, 2026-27, each marked at home or away
SideDateGameResultgoalsExpected
Aug 28, 2026vsVfB StuttgartW10.10
Sep 5, 2026@Schalke 04T00.16
Sep 10, 2026vsBodo/GlimtW20.38
Sep 13, 2026@SV ElversbergW00.21
Sep 18, 2026vs1. FC Union BerlinW30.23
Oct 10, 2026@FC AugsburgT00.06
Oct 13, 2026@Viking FKT00.31
Oct 17, 2026vsRB LeipzigW10.17
Oct 25, 2026@SC FreiburgW10.06
Oct 31, 2026vsBorussia DortmundT00.10

Method

  • Expected is what the opponent allowed midfielders in its other 2026-27 games, plus 0.10 for the home team (half the league’s home edge for midfielders that season), nothing at a neutral site, scaled to his share of his team’s midfielders’ goals in his games, 50%.
  • Each expected number is then fit to the season’s games: a game bears out about 68% 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.