Football predictions for today: a probability, not a tip
Football predictions should not be a feeling from the sofa. Our system takes match history, runs it through a statistical model and returns a probability for every result — together with an explanation of why it came out that way. This page walks through exactly how such a prediction is built.
🎯 A prediction is a probability, not a certainty
Every day we publish one complete football prediction for free — with a number next to every outcome and the reasoning behind it. We do not promise certainty that nobody has. We promise you will see where the number came from.
Futbaldata vs SynotTip: how the football predictions differ
| What you get | Futbaldata | SynotTip |
|---|---|---|
| A probability for every possible match result | ||
| A daily football prediction for free, no sign-up | ||
| A statistical model (Poisson, XGBoost) under the hood | ||
| An explanation of why the model decided the way it did | ||
| Public history of predictions, misses included | ||
| Context beyond the table (lineups, weather, motivation) | ||
| Comparing the prediction against the odds to find value | ||
| The ability to place a bet and get paid out | ||
| A licence to operate betting games |
The last two rows are not a typo. SynotTip is a licensed bookmaker and does something different from us: we compute probabilities, they accept bets. That is exactly why the two services do not compete — use them side by side.
Why our football predictions are worth a look
1. A number instead of an adjective
"The home side is in form" is not a prediction. A prediction is a probability distribution: how many percent for the home win, how many for the draw, how many for the away win. Only with a number can you tell whether a bookmaker's odds make sense or are just good marketing.
2. A model you can check
There is no secret sauce here. The base is made of well-established statistical methods — the Poisson distribution for modelling goal counts and gradient boosting (XGBoost) for outcome probabilities. These are techniques you can read up on and verify independently.
3. Context the table cannot see
Raw numbers have no idea that the home side is missing both centre-backs, that the match is played in pouring rain, or that the visitors are already safe from relegation and thinking about the holidays. A language model adds precisely those things on top of the statistics: lineups, injuries, weather, stakes and the motivation of both sides.
4. A history nothing gets deleted from
Predictions that missed stay in the system just like the ones that landed. You can check the current results at any time on the homepage in the Statistics section. Nobody has a reason to trust a platform that only shows its best days.
5. We earn from satisfaction, not from your losses
A bookmaker makes money because the average bettor loses over the long run — that is how the business model is built, and there is nothing shady about it, it is simply a different business. Futbaldata does not accept bets. You come back only if the predictions make sense, which makes model quality our only product.
How a football prediction is built: from data to probability
A prediction is not one button. It is a chain of steps where each one works with the output of the previous one. Here is how it runs on our side:
Step 1 — Collecting the data
The system pulls the history of both teams: results, goals scored and conceded, shots, home and away form, head-to-head meetings and league position. On top of that come squad news and lineups, injuries, the kick-off time and the weather forecast at the venue. Without clean inputs the rest of the chain is pointless.
Step 2 — The statistical model
A team's attacking and defensive strength translates into an expected number of goals. The Poisson distribution turns those expectations into the probability of every exact scoreline; summing those scorelines into groups produces the probability of a win, a draw, a loss, over/under and both teams scoring. In parallel, XGBoost learns from completed matches and captures relationships that plain Poisson is too simple to see.
Step 3 — The context correction
The model has no way of knowing on its own that the key striker got injured in training yesterday. This layer adds the factors that never appear in a table: confirmed lineups, what the match means to each side, fatigue from the previous round, travel and weather. The result is a shift in the probabilities, not a rewrite — the data stays the foundation.
Step 4 — The output and the reasoning
Out comes a probability distribution across the possible results plus a text explaining which factors moved the numbers and in which direction. Only that output is a football prediction. What you do with it is your decision.
A prediction is not a tip. And the difference matters.
A prediction answers the question "how likely is this to happen?". It is a number about the match and has nothing to do with odds.
A tip answers the question "is it worth betting on?". It only exists once you compare the prediction with the odds somebody is actually offering you.
A worked example (an illustration, not our track record): say the model gives the home win 55%. Odds of 1.60 correspond to a probability of roughly 62%, so you would be backing something less likely than what you are paying for — the prediction is decent, but the tip is not. The very same model at odds of 2.20 (roughly 45%) says something completely different.
That is why you will find predictions here, not promises. Whether and how much to stake is your call — and it is made only after looking at the current odds.
See today's football prediction
One complete prediction every day for free — with probabilities and with the reasoning. No sign-up, no payment.
Frequently Asked Questions
What exactly is a football prediction?
It is the probability of each match outcome calculated from data — for example how many percent go to the home win, the draw and the away win. It is not a guarantee and cannot be read as one. A single match is largely down to chance; predictions only make sense over a long-run average.
Is a football prediction the same as a forecast?
Yes, they are the same thing. People use both words for the same output, and in Slovak the query is often typed without diacritics as "futbalove predikcie". Behind every variant sits the same content: a number, not a certainty.
What is the difference between a prediction and a tip?
A prediction says how likely an outcome is. A tip says whether it is worth backing at a specific price. Without odds a tip simply does not exist — which is why we look at the prediction first and at the bookmaker's offer second.
Which models do you use for football predictions?
We combine the Poisson distribution for modelling goal counts with gradient boosting (XGBoost) for outcome probabilities. On top of that runs a language model that fills in context: lineups, injuries, weather, travel and the motivation of both teams.
What is your success rate?
The current figures are publicly available on the homepage in the Statistics section and are updated continuously. We deliberately leave them out of articles — a number in the text goes stale in a month, the table on the homepage does not.
Can I place a bet with you?
No. We are not a bookmaker and we do not accept bets. For the betting itself you need a licensed operator such as SynotTip, Tipsport, Fortuna or Niké. We only supply the input for your decision.
Related pages
Warning: Gambling is prohibited for persons under 18 years of age. Play responsibly. Futbaldata does not operate a bookmaker, does not accept bets and is not responsible for your betting decisions.