Methodology

How We Make Predictions

A strength rating for each side, adjusted for the situation, converted into a probability and published as it comes, in six steps with no tipster override.

10sports rated
6steps
1tip per fixture
0human overrides

Every rating on this site is produced by a model, not by a tipster, and the number it produces is published as it comes. The method is the same six steps for all ten sports. What feeds step two is different in each, and has to be.

  • No human override. Nobody adjusts a number because a fixture feels wrong.
  • One tip per fixture, named to its market, so the call can be judged.
  • Calibration over strike rate. Of everything rated 60 percent, close to 60 percent should win.
  • The limits are published too, including where the model is weakest.
TA Written by Tolulope Afuwape, Sports Analyst at AccuratePredict Reviewed by Olufemi Osunyingbo, editorial lead and co-founder · Last updated

How Is a Prediction Made, Step by Step?

The same six steps run on every sport. What goes into step two is different in each.

  1. Collect the data Fixtures, results, line ups and odds arrive from API-Sports for every sport we rate. Nothing is typed in by hand, which is what lets the same process run on 300 fixtures a day.
  2. Rate each side Each team or fighter carries a strength rating built from results, scoring and conceding rates, and the quality of who they played. Recent matches count more than old ones, on a decay rather than a cutoff.
  3. Adjust for the situation Home advantage, rest days, travel, confirmed absences and whether the fixture matters to either side. A team already promoted in May is not the team that played in March.
  4. Turn the gap into a probability The difference between two ratings becomes a percentage for each outcome. Three percentages where a draw is possible, two where it is not, and they always total 100.
  5. Pick one call per fixture Across the markets we rate, the tip is the selection with the best combination of probability and odds. One per fixture, named to its market, so you are never guessing which outcome it is on.
  6. Publish, settle and count The call goes live with its probability attached. When the fixture ends it is marked won or lost on its own page and added to the published record. Nothing is edited afterwards.

What Goes Into the Model, and What Stays Out?

Only what can be collected consistently for every fixture in a competition.

In: results and scorelines Home and away records are kept separately because they behave differently. Goals or points scored and conceded, and the strength of the opposition in each of those matches.
In: schedule and context Rest days between fixtures, travel, confirmed team news, and whether either side still has anything to play for in the competition.
In: the market odds Bookmaker odds are a strong probability estimate in their own right. They are read as an input and compared against, never copied.
Out: opinion Pundit views, public sentiment and social media are not inputs. They cannot be collected consistently and they are already in the odds.
Out: anything uneven A variable available for the Premier League but not the NPFL would quietly make our African coverage worse than our European coverage, so it is not used at all.
Out: the human override Nobody adjusts a number because a fixture feels wrong. The analysts write about the number. They do not change it.

Why Is Each Sport Modelled Differently?

The framework is shared. The inputs are not, and cannot be.

Football, hockey, handball, rugby Three outcomes, because these can end level. Draw rates vary enormously: roughly 25 percent in football, 22 in hockey, 7 in handball and 3 in rugby. Using one draw rate across all four would be wrong three times.
Basketball, volleyball, baseball, NFL, AFL Two outcomes, because these games end level rarely or never (NFL and AFL draws are possible but rare). The interesting question is usually the margin rather than the winner, which is why the handicap matters more here.
Baseball The starting pitcher is the single largest input, worth more than the rest of the line up combined. No other sport we cover has one player who moves the number that far.
MMA No handicap exists, because a bout has no score. The middle market is method of victory instead, which separates a wrestler beating a striker from the reverse.
Home advantage is not a constant It is worth several points in basketball, less in baseball, and close to nothing in MMA where a neutral venue is the norm. It is fitted per sport, not assumed.
Markets per sport Football carries twenty markets because the data supports them. The other sports carry three each, because those three are available for every competition we cover and the rest are not.

What Can This Method Not Do?

The honest boundaries, because a method described without them is a sales page.

It cannot know what has not happened A red card in the second minute, an injury in the warm up, a goalkeeper having the game of his life. These are not knowable and no model can rate them.
It is weaker where data is thin A top European league gives thousands of matches to learn from. A lower division in a smaller association gives far fewer, and the ratings there are correspondingly less certain. The percentage does not shout about this, and it should be read with it in mind.
It does not beat the market by default Bookmaker odds are themselves a very good probability estimate. Where our number and the odds disagree, we are sometimes right and sometimes not. That is measurable and it is measured, on the accuracy page.
It has no intuition Removing the tipster override removes one source of error and adds another: the model will occasionally miss something a person would have caught. We accept that trade because it is the one that can be audited.
Its percentages can run high in some markets A stated 72 percent should win about 72 times in 100. Checked against settled results, some markets come in below what was stated: in an October 2026 trial, football under goals tips in mismatched games won less often than their stated probability. When that happens the market is recalibrated, and the gap stays visible in the published record rather than being written out of it.

About Our Prediction Method

What the model reads, what it ignores, and where it is uncertain

How we make predictions: a strength rating for each side, adjusted for the situation, converted into a probability, and published with the number attached. The same six step process runs on all ten sports, and no human overrides the output before it goes live.

What Goes In

Results and scorelines, home and away records kept separately because they behave differently, goals or points scored and conceded, the strength of the opposition in each of those matches, rest days between fixtures, travel, confirmed team news, and competition context such as whether either side still has anything to play for. Recent matches are weighted more heavily than old ones on a decay, so form matters without a single bad afternoon erasing a season.

What Is Deliberately Left Out

Pundit opinion, public sentiment, social media, and anything we cannot get consistently for every fixture in a competition. A variable available for the Premier League but not the NPFL would quietly make our African coverage worse than our European coverage, so it is not used at all. This is also why we rate three markets on the non football sports rather than twenty: the other seventeen are not available everywhere.

Probability, Not Prophecy

A call rated 62 percent is expected to lose nearly four times in ten. That is the model working, not failing. The test of a probability is calibration: of everything rated at 60 percent, close to 60 percent should win, no more. A model whose 60 percent calls land 85 percent of the time is mislabelled rather than brilliant. Our published accuracy record is there so this can be checked rather than taken on trust.

Why We Publish One Tip and Not Ten

A page listing every market with a percentage against each is a page that will always have been right about something. One call per fixture, named and settled in public, is a claim that can fail. That is the point. The analysts who write around the number are on the team page, the rules they work to are in the editorial policy, and the model's output for today is on the all sports hub.

Frequently Asked Questions

What people ask about how the predictions are produced.

Question 1

How do I win a bet every day?

Answer 1You do not, and no method does. Even a well rated 75 percent pick loses one time in four, and a day of bets is several of those multiplied together. What a model can do is put the probability on your side over many bets: compare our probability with the odds, stake only where the gap is in your favour, and judge the result over a month, not a day. The responsible gambling page explains why daily wins is the wrong target.
Question 2

Which betting market is the easiest to win?

Answer 2The ones at the shortest odds, which is the same as saying the ones that pay least. Over 1.5 goals and double chance on a strong favourite land most of the time, and the bookmaker sets the odds accordingly. Easy to win and worth betting are different questions, and the probability column against the odds answers the second one.
Question 3

How are AccuratePredict predictions calculated?

Answer 3Each side gets a strength rating from results, scoring and conceding rates and the quality of the opposition, weighted towards recent matches. That is adjusted for home advantage, rest, travel and confirmed absences, and the gap between the two ratings becomes a probability for each outcome.
Question 4

Do people override the model?

Answer 4No. The output is published as the model produces it. That removes one source of error and introduces another, since a model has no intuition and will sometimes miss what a person would catch.
Question 5

Why are the percentages different shapes on different sports?

Answer 5Because some sports can be drawn and some cannot. Football, hockey, handball and rugby carry three percentages. Basketball, volleyball, baseball, NFL, AFL and MMA carry two.
Question 6

What does a 62 percent prediction actually mean?

Answer 6That we expect the outcome roughly six times in ten, and expect it not to happen nearly four times in ten. A 62 percent call that loses is not a failed prediction, it is the other four.
Question 7

Is the model the same for every sport?

Answer 7No. The framework is the same but the inputs are not. A baseball model that ignored the starting pitcher would be worthless, and a pitcher does not exist in handball. Home advantage is worth several points in basketball and close to nothing in MMA.
Question 8

Where does the data come from?

Answer 8API-Sports, across every sport we rate, for fixtures, results, line ups and odds. We do not use any variable we cannot obtain consistently for every competition we cover.
Question 9

Does the model use bookmaker odds?

Answer 9Yes. The market odds are read as an input and compared against, because it is a strong probability estimate in its own right. It is never copied: where our rating and the odds disagree, the call follows our rating and the record shows how that went.
Question 10

How do I know the method works?

Answer 10Check the accuracy record. Every settled call is there, won and lost, and every individual prediction stays on its own fixture page next to the final score.
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