FOOTGuides › Win/draw/loss probabilities explained (1X2)
Guide
Win/draw/loss probabilities explained (1X2)
Three numbers decide every football prediction. Here is what they mean, what they don't, and how to use them well.
Updated 2026-10-19 · by the Footalytics team
What 1X2 stands for
1 is the home win, X is the draw, 2 is the away win. A probability for each — say 55% / 25% / 20% — is the model's full reading of the match. The three always sum to 100%, and every one of them is larger than you might expect: even the favourite's opponent wins this match one time in five.
How to read a probability honestly
A 55% favourite wins roughly 11 of 20 replays — and loses 9. A 90% favourite still drops points one time in ten, which over a 38-game season is several matches. The right use is comparative: 55% means clearly ahead but far from safe; 70%+ means a strong favourite; anything below 45% means the model genuinely cannot separate the sides.
Why draws are the hardest outcome
Draws need two things at once: neither side good enough to win and neither bad enough to lose. Early-season ratings are noisy, one red card flips a tight match, and a late goal converts three points into one. Naive models systematically under-rate draws — which is precisely the bias the Dixon-Coles correction exists to fix.
From 1X2 to the rest of the numbers
The same scoreline distribution produces over/under 2.5, both teams to score and exact-score probabilities, so all of a match's numbers are internally consistent. If the model says 1–0 is the top line, the win probability, the under 2.5 probability and the “no BTTS” probability will all tell the same story.
No odds, ever
Footalytics publishes probabilities and grades them in public — no odds and no betting advice. A probability is a reading of the match; what you do with that reading is entirely up to you, and 18+ applies.
FAQ
What does 1X2 mean in football predictions?
1 = home win, X = draw, 2 = away win. Footalytics gives each outcome a probability that sums to 100% with the other two.
Is a 60% probability high?
Yes — it means the model expects that side to win about three of every five replays. In football, where favourites drop points constantly, 60% is a clear edge, not a formality.
Why isn't a 90% favourite certain to win?
Because one match is one sample: red cards, early goals and rotation all live in the remaining 10%. Over many matches the model's 90% calls do win about nine times in ten — that is what calibration means.
Where can I see today's 1X2 probabilities?
The today page lists every fixture; official picks carry published probabilities and are graded after full time on the accuracy dashboard.