Correct score predictions today

A correct score prediction names the exact final score of a football match, such as 2-1 to the home side, and puts a percentage on how likely that scoreline is. The correct score predictions for today are in the dated list above, and each fixture carries its three likeliest scorelines with a probability for each. Kick-off times are given in WAT, EAT, SAST and GMT. It is the same call whether you say football or soccer, and it is the hardest one in the game to land, so the percentage matters more than the score beside it.

Naming the winner is a little like saying it will rain this afternoon, while naming the score is like saying how many millimetres will fall. Both are forecasts, and the second is wrong far more often, even when the forecaster is good. What follows explains how to read each call, how the numbers are produced, how often exact scores come in and what the track record shows, misses included.

What Is A Correct Score Prediction, And How Does It Differ From A 1X2 Pick?

A 1X2 pick has three possible outcomes and an over/under pick has two, so each outcome starts with a healthy share of the probability. A correct score pick spreads the same match across dozens of possible scorelines, and only one of them pays. That is why the prices are long, and why even a good prediction of correct score misses most of the time. The market rules are explained under correct score meaning, and the table below shows how one result settles across the related markets.

How Do You Read The Correct Score Predictions For Today?

Each row in the list is one fixture. In order, you get the two teams, the kick-off in four zones (GMT for Accra, WAT for Lagos, SAST for Johannesburg, EAT for Nairobi and Kampala), then three scorelines with a percentage against each and a plain line of reasoning. The gap between the first and third percentages tells you how confident the call is. When the three sit close together the match is open, and that is worth more to you than the headline score.

Readers in Lagos, Accra, Nairobi, Kampala and Johannesburg often follow evening Premier League and AFCON kick-offs after work or school, and a 20:00 GMT start in the English winter is 20:00 in Accra, 21:00 in Lagos, 22:00 in Johannesburg and 23:00 in Nairobi and Kampala.

The competitions readers across the five countries follow most are flagged: the Premier League, La Liga, the Champions League, the Nigerian and South African leagues, and AFCON and World Cup qualifiers. The reasoning often turns on an African name, because whether an attacker such as Mohamed Salah, Victor Osimhen, Ademola Lookman or Mohammed Kudus starts changes how many goals a side can expect. If you want the result, goals and both teams to score calls for the same matches, they are under today's predictions.

How Are Correct Score Predictions Produced?

Every call starts with goal expectancy, an estimate of how many goals each side would score on average if this exact pairing were played many times. It is built from each team's attacking and defensive record and from home advantage. Turning expected goals into exact scores uses the Poisson distribution, an approach used early on for football by Michael Maher in his 1982 paper 'Modelling association football scores' in Statistica Neerlandica. The distribution gives the chance of each side scoring nought, one, two or more, and combining the two sides gives a probability for every scoreline.

A plain Poisson model treats the two teams' goals as unrelated, which makes it underestimate low scores such as 0-0 and 1-1. Mike Dixon and Stuart Coles published a correction for that in 1997, and the predictions here use an adjustment of the same type. What does the percentage mean, then? It is a long run frequency, so if a scoreline is rated at 10%, calls like it should land about once in ten. The reference price is one divided by the probability, which makes 10% a price of 10.00.

How Often Does The Exact Score Actually Come In?

Less often than most people expect, and the reason is arithmetic. In English top flight football the most common scores have been 1-0 and 2-1, and even the likeliest scoreline in a match carries a probability well short of even odds. Put the other way round, the best available pick misses in most matches, and that is the model working properly. A study of English top flight scores found that 1-0 was the most common score in every Premier League season from 1992-93 to 2008-09, and that 2-1 took over from 2009-10.

The honest test of any set of correct score tips is the base rate. Somebody who called the most common scoreline for every match, with no thought at all, would still be right now and then, so one hit on 1-1 proves very little. A prediction earns its keep when it shows that the match in front of you differs from the average one.

Which Scorelines Are Most Likely In Which Competitions?

The answer follows the goals. Where a competition averages more goals per game, 2-1 tends to rise up the list. A tighter competition pulls 1-0 and 1-1 back to the top. The 2022 World Cup carried both stories: it produced a record 172 goals in 64 matches, about 2.69 per match, and yet Morocco reached the semi-final by beating Portugal 1-0, and Cameroon beat Brazil by the same score.

Africa Cup of Nations finals involving the countries we write for have often been decided by one or two goals. Nigeria won the 2013 final 1-0 against Burkina Faso, South Africa took the 1996 title at home by beating Tunisia 2-0, and Ghana beat Uganda 2-0 in the 1978 final. A handful of famous matches is an anecdote and not a sample, although it could be argued that knockout games reward caution. At the far end sits Austria's 7-5 win over Switzerland in 1954, the highest scoring match in World Cup history, and that long tail of rare results is where the variance of this market lives.

How Have Past Correct Score Picks Done?

Every past call is kept and dated, and the misses stay up alongside the hits. You will find them in the record, where the hit rate for exact scores is set against the base rate of picking the most common scoreline every time. Read it with sample size in mind, because a few hits in a row say little, while several hundred calls landing about as often as their percentages suggested say a great deal.

Where Do The Predictions Come From, And When Are They Updated?

The predictions come from the model described above, run on match results for each competition. The list is rebuilt each day for that day's fixtures, each call shows when it was last updated, and nothing is changed once a match has kicked off. That cut-off matters, because a call edited after the first goal would be commentary and not prediction. If you look up a correct score for today late in the evening, check the time beside the call first.

Which Related Markets Fit The Same Match?

A scoreline is several opinions packed into one. A predicted 2-1 home win also says home win on the 1X2, over 2.5 goals and yes on both teams to score (GG to many readers). If you agree with the read but not the risk, a broader market carries the same opinion at a shorter price with a far better chance of landing. Half time/full time and total goals sit in between, while an accumulator of correct scores multiplies several small probabilities together.

What Does A Correct Score Prediction Not Tell You?

It does not tell you what will happen, only what is likeliest and by how much. Exact scores are among the highest variance markets in football, long losing runs are normal even when the probabilities are sound, and no call here is a promise about money. Betting is for adults aged 18 and over, and the helpline for your country is shown alongside the calls. So, read the percentage before the scoreline, and leave the match alone when the price on offer is shorter than the reference price beside the call.