Bundesliga predictions: the league where the result tells you least
Published · Updated 2026-08-29
Every statistical superlative about goals in our dataset belongs to the Bundesliga. What makes German football genuinely different for a forecaster, though, is not the scoring on its own — it is that the scoring is extreme while the results are utterly ordinary. Those two facts together move the interesting question away from who wins.
Ordinary results, extraordinary goals
From 1,530 Bundesliga matches in our dataset:
- 3.18 goals per match — the highest of the nine domestic leagues we cover, clear of the Eredivisie’s 3.08 and a different sport from the Championship’s 2.54.
- 61.0% of matches go over 2.5 goals, and both teams score in 60.1%. It is the only league we model where both clear 60%.
- The outcome split: 44.1% home, 24.9% draw, 31.0% away — within a point of our all-competition average of 44.1 / 25.4 / 30.5.
Read those together. The Bundesliga is not unusual about who wins. It is unusual about how much scoring it takes to get there. A model that carries an English or Spanish scoring assumption into Germany will underprice goals in every fixture and be roughly right about every result — which is the wrong way round, because the result is the market everyone else is already pricing carefully.
The clean sheet almost nobody keeps
The sharpest single number in German football is defensive. A Bundesliga home side keeps a clean sheet in just 26.0% of matches — the lowest rate of any competition we cover, against 35.4% in Brazil’s Série A and a 30.7% average across our whole dataset.
That one figure propagates everywhere. It is why BTTS sits at 60.1%, why the both-teams-to-score market is a poor source of long prices in Germany, and why “this side has a good defence” is a claim that needs unusually strong evidence here before a model should act on it. Roughly three Bundesliga home teams in four concede at least once.
Fewer one-goal games, and what that does to the draw
Only 32.6% of Bundesliga matches finish with a one-goal margin — again the lowest we record, against 42.5% in Brazil. At the other end, 20.2% finish with a margin of three or more.
This is where high scoring feeds back into the result market, and it works against intuition. More goals does not mean more chaos in the 1X2 column; it means fewer level scorelines survive to full time. A 1-1 is a fragile state in a league averaging over three goals. So the Bundesliga’s draw rate sits below Serie A’s — 24.9% against 27.1% — not because German teams are more decisive by temperament, but because the arithmetic of a higher scoring rate thins out the diagonal of the score grid.
Our model gets this for free rather than by rule. Draw probability is not a parameter we set per league; it falls out of the fitted scoring rates, which is the point of pricing from a full scoreline distribution rather than from three separate opinions.
What 306 matches a season does to a rating
The Bundesliga runs eighteen clubs, so a season is 306 matches — around a fifth fewer than the 380 played in England, Spain or Italy, and well under half the Championship’s 552.
For a rating model that is a real constraint, not a footnote. Each club plays 34 league matches instead of 38, so every result carries proportionally more weight in the fit, ratings move faster per match, and the early-season period in which a promoted club’s rating is mostly prior rather than evidence lasts a larger share of the campaign. Our September Bundesliga probabilities are, honestly, softer than our March ones — and more so than the same comparison in a 380-match league.
Where to check whether we price it well
Every Bundesliga fixture gets 1X2, Over/Under 2.5 and both-teams-to-score probabilities, refreshed through the day, alongside form, head-to-head and the model’s verdict, on the Bundesliga hub. The goals markets have their own boards: Over/Under 2.5 and BTTS across every league we cover.
You will not find an accuracy percentage in this article, deliberately. Static text cannot be audited and a number written in August is stale by October. Every Bundesliga prediction we publish is settled after full time and recorded per league and per market on the track record, misses given the same billing as hits. How the model is built, and where it is weak, is set out on how it works and in more depth in our write-up of the Dixon-Coles model.
In the league of goals, the goals lines are where you should check us hardest.