Upcoming Matches
| Match | Home / Draw / Away | Prediction | Result |
|---|
Live Matches
| Match | Home / Draw / Away | Prediction | Result |
|---|---|---|---|
 Pri MC Torque Peñarol ... | 1 36% X 25% 2 39% | X @ 3.18 |
1-1 |
 Maj New York RB St. Louis City ... | 1 23% X 22% 2 55% | 2 @ 1.96 |
1-2 |
Finished Matches
| Match | Home / Draw / Away | Prediction | Result |
|---|---|---|---|
 Fri United States Chile ... | 1 50% X 23% 2 27% | 1 @ 1.46 |
2-1 Final score4-2
|
| Fri Mexico Peru ... | 1 58% X 21% 2 21% | 1 @ 1.45 |
2-1 Final score1-1
|
 Lig Medellín Millonarios ... | 1 35% X 26% 2 39% | X @ 3.64 |
1-1 Final score2-2
|
| Fri Papua New Guinea Solomon Islands ... | 1 27% X 22% 2 51% | 2 @ 2.41 |
1-2 Final score1-1
|
| Fri Fiji New Caledonia ... | 1 56% X 22% 2 22% | 1 @ 1.59 |
2-1 Final score0-1
|
 Wom OL Lyonnes W Chelsea W ... | 1 45% X 23% 2 32% | 1 @ 1.39 |
2-1 |
 Pri Cienciano Los Chankas ... | 1 60% X 21% 2 19% | 1 @ 1.39 |
2-1 |
How We Predict Correct Scores
A correct score tip is only as good as the goal expectation behind it. Ours is not a single number pulled from a table — it is blended from three separate sources, then run through a probability model. Here is the whole chain, in order.
Attack against defence
Each side’s attacking output is set against what the opponent actually concedes. That gives a first goal expectation for both teams — not a league-average guess, but this specific matchup.
Recent form counts most
The goal history is weighted across three windows: the last 15 matches at 20%, the last 6 at 30% and the last 3 at 50%. A team that has changed gear in the past fortnight moves the model straight away.
The league sets the level
A 2-1 means something different in the Eredivisie than in Ligue 2. The scoring level of the competition itself — measured over its last 80 matches — makes up 35% of the goal environment, so low-scoring leagues stay low-scoring.
Rest days and home ground
A side coming off six days‘ rest against one that played 48 hours ago gets a 10% swing. Home advantage is applied last and deliberately small, at 3% — enough to matter, not enough to decide the tip on its own.
Every scoreline gets a probability
The two goal expectations run through a Poisson distribution across a full matrix — every result from 0-0 up to 10-10. Nothing is cut off at 4-4 the way most models do, so a genuine 5-3 stays possible when the data supports it.
The scoreline must match the call
All scorelines are grouped into home win, draw and away win. The 1X2 badge is decided first, then the most likely scoreline within that group is published — so you never see a draw badge next to a 2-1.
One Thing We Deliberately Leave Switched Off
Plain Poisson slightly underrates low-scoring results such as 0-0 and 1-1. The standard remedy is a Dixon-Coles correction, and it is built into our model — but it currently runs at zero. A single correction value applied across a hundred different competitions does more damage than it repairs, and we have not calibrated it per league yet. Until we have, straight Poisson is the more honest answer. When that changes, it will change here first.
Why Correct Score Is the Hardest Bet — and Why It Still Pays
Be clear about what this market is. Even a well-modelled fixture rarely gives any single scoreline more than a 12 to 14% chance, and the most likely result in an average match — usually 1-1 or 1-0 — lands around one time in nine. That is not a flaw in the model, it is the nature of football.
The reason people bet it anyway is the price. A correct score pays 6/1, 9/1 or more where a 1X2 pick pays evens. You are trading strike rate for return. Two things follow from that: keep the stakes proportionate, and judge the market over months rather than over a weekend.
Where correct score predictions genuinely help is as a sanity check on other bets. If our model has 2-1 and 1-1 as the two most likely results, that tells you more about an Over 2.5 Goals or both teams to score selection than the headline percentage does.
How to Read Today’s Correct Score Tips
Each card carries the predicted scoreline, the 1X2 call it belongs to and the odds. Once the match finishes, the scoreline is marked green if it landed exactly and the 1X2 badge is marked separately — so you can see when the model read the match correctly but missed the exact result, which happens far more often than a clean hit.
Fixtures are covered across more than 90 competitions, from the Premier League and La Liga to second tiers and South America. Tomorrow’s fixtures appear as soon as the data supports them — see tomorrow’s football predictions for the full card.
Correct Score FAQs
What is a correct score bet?
You back the exact final score of a match — 2-1, 0-0, 3-2. Nothing else counts: a 2-0 loses a 2-1 bet even though the right team won. Because it is so specific, the odds are far longer than on any other football market.
How accurate are correct score predictions?
Honestly: any single scoreline is a long shot. The most likely result in a typical match sits around 10 to 14%. A model earns its keep not by being right often, but by being right more often than the price implies. Judge it over a season, never over one weekend.
What is the most common football score?
Across most European leagues 1-1 and 1-0 are the two most frequent results, followed by 2-1 and 2-0. In lower-scoring competitions 0-0 climbs the list; in high-scoring ones 2-1 and 3-1 do. That is exactly why the league’s own scoring level feeds into our model rather than a single global average.
Do you use xG for correct score predictions?
We build our own goal expectation from attack and defence output, recent form and league context, then run it through a Poisson distribution. It serves the same purpose as published xG figures but is calculated from results across every competition we cover, including those where shot-level xG data is not available.
Are these correct score tips free?
Yes — no account, no email, no subscription. The reasoning is on the page as well, which is the part most tipping sites keep to themselves.
Can I check the numbers behind a prediction?
Yes. The football statistics section holds the scoring averages, streaks and league context each prediction is built from, team by team. If a scoreline looks wrong to you, the data that produced it is two clicks away.
