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Bundesliga Matchday 9 · 2026-27

Bundesliga 2026-27 · Matchday 10 · Fri, Nov 20 – Sun, Nov 22

Bundesliga predictions, matchday 10

Every Bundesliga match of the matchday, forecast from the goals each club has scored and let in this season, rated against the opponents it has played, and from where it finished last season. Win, draw or loss, as chances. No betting information goes in. Tested on 5,330 league matches of 2021-22 to 2025-26, each forecast from the matches before it, the favourite won 70.4% of the matches that had a winner.

Built on the results our source has through 8 Nov; it is updated by volunteers, so the latest matchdays can arrive late and the ratings catch up when they do.

Updated 10 Nov, 02:56 UTC. Each forecast is frozen at kickoff and scored when the match is played. How it has done

MatchKickoffHomeDrawAway
Bayern v Köln Fri, Nov 20 86%11%4%
Leverkusen v Paderborn Sat, Nov 21 67%21%12%
Elversberg v Freiburg Sat, Nov 21 33%26%41%
Gladbach v Dortmund Sat, Nov 21 15%23%62%
Frankfurt v Hoffenheim Sat, Nov 21 44%24%32%
Union Berlin v Leipzig Sat, Nov 21 20%24%56%
Schalke v Stuttgart Sat, Nov 21 22%26%52%
Augsburg v Mainz Sun, Nov 22 44%26%30%
Werder v HSV Sun, Nov 22 52%26%22%

Bayern v Köln

Fri, Nov 20 · 20:30 CET

Bayern by 2.5 goals on average, with home advantage.

Likeliest scores
2–0 13%3–0 13%4–0 10%
Goals expected
Bayern 3.0 Köln 0.5

Leverkusen v Paderborn

Sat, Nov 21 · 15:30 CET

Leverkusen by 1.3 goals on average, with home advantage.

Likeliest scores
2–0 12%1–0 12%1–1 10%
Goals expected
Leverkusen 2.1 Paderborn 0.8

Elversberg v Freiburg

Sat, Nov 21 · 16:00 CET

Freiburg by 0.2 goals on average, even with Elversberg at home.

Likeliest scores
1–1 12%1–2 9%0–1 8%
Goals expected
Elversberg 1.4 Freiburg 1.6

Gladbach v Dortmund

Sat, Nov 21 · 16:00 CET

Dortmund by 1.1 goals on average, even with Gladbach at home.

Likeliest scores
0–1 12%0–2 11%1–1 11%
Goals expected
Gladbach 0.8 Dortmund 1.9

Frankfurt v Hoffenheim

Sat, Nov 21 · 16:00 CET

Frankfurt by 0.3 goals on average, with home advantage.

Likeliest scores
1–1 10%2–1 9%2–2 7%
Goals expected
Frankfurt 1.8 Hoffenheim 1.5

Union Berlin v Leipzig

Sat, Nov 21 · 16:00 CET

Leipzig by 0.8 goals on average, even with Union Berlin at home.

Likeliest scores
1–1 11%0–1 10%1–2 10%
Goals expected
Union Berlin 1.0 Leipzig 1.9

Schalke v Stuttgart

Sat, Nov 21 · 18:30 CET

Stuttgart by 0.7 goals on average, even with Schalke at home.

Likeliest scores
1–1 12%0–1 11%0–2 10%
Goals expected
Schalke 1.0 Stuttgart 1.7

Augsburg v Mainz

Sun, Nov 22 · 15:30 CET

Augsburg by 0.3 goals on average, with home advantage.

Likeliest scores
1–1 12%2–1 9%1–0 8%
Goals expected
Augsburg 1.7 Mainz 1.3

Werder v HSV

Sun, Nov 22 · 17:30 CET

Werder by 0.7 goals on average, with home advantage.

Likeliest scores
1–1 12%1–0 11%2–1 9%
Goals expected
Werder 1.7 HSV 1.0

How good is it?

This season so far: 81 matches forecast, the favourite won 68.8% of those with a winner (ranked probability score 0.204, against 0.227 for the league’s usual shares of home wins, draws and away wins). The 54 matches played before the forecasts went live were forecast afterwards from what was known before kickoff.

Before it went live, the method was run through 10,660 league matches of ten seasons (the Premier League, La Liga and the Bundesliga, 2016-17 to 2025-26), each forecast only from the matches played before its matchday. Its two settings were picked on the first five seasons, and the table is the 5,330 matches of the five after, which it was never fitted to (2021-22 to 2025-26):

ForecastWinner picked rightRanked probability scoreLog loss
Ours: goals70.4%0.2000.983
The table (points) only70.6%0.2010.984
Only the league’s usual shares of home wins, draws and away wins59.6%0.2291.068

The ranked probability score and log loss grade the chances, not just the pick: lower is better. A draw is the hardest result to call; about one match in four ends level whatever the clubs, so “winner picked right” counts only matches that had a winner.

What goes in, and what doesn’t

  • This season. Each club’s goal difference (a match counts at most 3 goals) and how many goals its matches have, rated against the opponents it has played.
  • Last season. Each club starts from where it finished, with 90% of its distance from average kept (a club new to the league starts like last season’s weakest). The matches played pull it away from there. That share and the strength of the rating were picked on the first five seasons of the test.
  • Home advantage. Worth about a third of a goal.

Not in it: line-ups, injuries and suspensions, transfers, shots and chances, and the betting line.

Power rankings · How the luck is measured