How to Read AI Correct Score Predictions: A Worked Example
Updated: Sep 21
Read an exact-score percentage as one possible outcome. A high Over 2.5 probability does not eliminate lower-scoring results, and agreement between related markets does not guarantee a selection.
This worked example explains the displayed software output for Benfica vs Gil Vicente. It replaces the earlier suggestion that a goal-total percentage could automatically discard alternative correct scores. The original images remain available below.
The original software screen
The screen lists 2-1 at 8.33%, 3-1 at 8.21% and 2-0 at 7.63%. It also displays Over 2.5 at 75.76% and Over 3.5 at 56.45%. Those are separate model outputs, not one guaranteed result.
Step 1: identify the market and all the alternatives
An exact score fixes the number of goals for both sides. A goals market covers many scorelines. Keep the three listed alternatives visible rather than choosing a successful score after the event and presenting it as the only original prediction.
Step 2: distinguish one score from a group of scores
Over 2.5 covers every result with at least three total goals. A 2-0 result falls outside that group, but remains possible. If the model's Over 2.5 estimate is 75.76%, the complementary Under 2.5 estimate is 24.24%. An individual 2-0 estimate of 7.63% can sit inside that remaining probability. There is no contradiction.
Step 3: do not turn a lean into an elimination rule
Likewise, Over 3.5 at 56.45% does not make a three-goal result impossible. It describes a group of outcomes and cannot, on its own, prove that 3-1 is a better selection than 2-1. Related outputs may come from the same underlying information, so treating them as independent confirmations can be misleading.
Step 4: separate the displayed record from performance claims
The supplied selection record shows 3-1 with decimal odds of 10.29. This documents what that record displays. The two images alone are not an independent audit of when the selection was made, the bookmaker price available to every customer, or the product's overall success rate.
Step 5: evaluate the full record
For a fair assessment, retain the original prediction timestamp, the fixture, every selected market, the available price and every later result, including losses. Distinguish a hit among several displayed scores from one score explicitly selected in advance. Neither the largest displayed percentage nor one successful example establishes profitability.
Frequently asked questions
Can a likely Over 2.5 outcome coexist with a 2-0 score estimate?
Yes. Over 2.5 and Under 2.5 divide the possible totals. A 2-0 estimate can occupy part of the Under 2.5 probability even when Over 2.5 is more likely.
Does the highest displayed score percentage mean it will happen?
No. It is one estimated possibility. Other outcomes, including scores not shown in the shortlist, remain possible.
Does this screen prove the software uses a Poisson model?
No. A list of probabilities does not reveal the underlying algorithm. The calculation method must be established from product documentation.
Continue with the main guides
Correct-score football prediction guide · What software data can be verified · Premier League correct-score examples
Explore the product
Check the Correct Score Football Software listing for its current features, compatibility and access terms. The product provides analysis; it does not guarantee a result.
Publisher: AI Football Tips. Prepared with AI assistance from the supplied software and selection images. 18+. Predictions are uncertain; past examples do not guarantee future accuracy or returns.