1X2 Predictions Yesterday

Yesterday's 1X2 Prediction Results

The Yesterday 1X2 page is a historical results view rather than a forward-looking forecast page. Each completed fixture should preserve the probabilities that were published before kick-off and compare them with the actual Home, Draw or Away result.

This makes the page useful for reviewing model behaviour rather than simply showing yesterday's football scores.

Predicted Outcome vs Actual Result

The most important distinction on a historical prediction page is between what the model estimated before the match and what subsequently happened.

A Correct Prediction Means the Leading 1X2 Outcome Matched the Result

If Home was the model's highest probability before kick-off and the home team later won the match, the leading 1X2 prediction can be recorded as correct.

If the match instead finished as a draw or away win, the prediction should be recorded as incorrect even if one of those alternatives carried a substantial probability.

Example of a correct Home prediction

Home 57%, Draw 27%, Away 16% produces a leading selection of Home. If the match finishes 2-0, the leading prediction is correct.

Example of an incorrect Home prediction

The same probability distribution followed by a 1-1 final score means the Draw occurred instead. The model's leading pick was therefore incorrect.

Why All Three Probabilities Should Remain Visible

A Correct or Incorrect label alone loses important information about the quality of the original forecast.

Consider two losing Home predictions:

Both predictions are technically incorrect, but the probability distributions describe very different levels of pre-match uncertainty.

Prediction Accuracy Should Be Read with Sample Size

A percentage becomes much more informative when the number of settled predictions behind it is visible.

For example, 70% accuracy from ten matches provides much weaker evidence than 70% across several thousand settled fixtures.

Daily sample size

The number of completed 1X2 predictions from yesterday should be shown alongside any daily accuracy rate.

Rolling sample size

Historical 7-day, 30-day or 90-day records can provide additional context without allowing one unusually strong or weak day to dominate the user's impression.

Home, Draw and Away Accuracy Should Be Separated

A model can perform differently across the three possible 1X2 outcomes.

Home predictions

Track how often matches led by the Home probability actually finish as home victories.

Draw predictions

Draws are a separate result class and should not be hidden inside a single global accuracy figure.

Away predictions

The same analysis should be applied to fixtures where Away was the model's top-ranked outcome.

The example structure above is for presentation only. Betiball should populate it from settled historical prediction data.

Confidence Bands Can Make Yesterday's Results More Useful

Grouping settled predictions by their original probability can help users see whether higher-confidence forecasts actually perform better over time.

These labels should be treated as presentation bands rather than guarantees. The important test is whether historical settlement rates rise as the predicted probability increases.

Calibration Is More Informative Than Win Rate Alone

A prediction system should not only be judged by how many leading picks were correct. Its percentages should also reflect the frequency with which events actually occur.

If outcomes assigned approximately 70% probability occur around seven times in ten across a sufficiently large sample, that is evidence of useful calibration. If they occur only half the time, the model may be overconfident even if many individual picks were correct.

Why calibration matters

It tests whether the probability itself carries useful information.

Why yesterday is only one observation window

A single day is naturally noisy. Daily results are useful for transparency, while model quality should be assessed across larger historical samples.

Confidence Gap Shows How Close the Forecast Was

The gap between the highest and second-highest probabilities can help describe whether the model had a clear preference.

A simple Confidence Gap can be calculated as:

Highest 1X2 Probability − Second-Highest 1X2 Probability

Both examples favour Home, but the first represents a much clearer model preference.

Yesterday's Final Score Should Not Replace the Original Forecast

Once the result is known, there is a natural temptation to explain the prediction with hindsight. A credible historical page should instead preserve the information that existed before kick-off.

Keep the original probability

Do not recalculate the pre-match percentage after the result is known and overwrite the historical record.

Keep the original prediction

The top-ranked outcome shown before kick-off should remain visible even when it was wrong.

Add the final score separately

The actual result should be appended as settlement information rather than replacing the original analysis.

Correct Score and 1X2 Accuracy Are Different Measurements

A correct 1X2 prediction does not require an exact-score forecast to be correct.

If Home was predicted and the match finished 3-2, the Home 1X2 prediction is correct even if an expected score of 2-0 was shown beforehand.

A High Probability Can Still Produce a Losing Prediction

Football outcomes remain uncertain. Even if an event has a genuine 80% probability, it would still be expected to fail roughly one time in five over a very large sample.

That is why individual upsets do not automatically prove that a probability model is poor. The relevant question is whether forecasts perform as expected across a sufficiently large number of comparable predictions.

Low-Probability Outcomes Should Occur Sometimes

A healthy probability model does not imply that the lowest-ranked outcome never happens.

If Away was estimated at 15%, occasional away victories are entirely compatible with the forecast. The model would become questionable if outcomes assigned around 15% occurred far more or far less often than expected across a large sample.

This distinction is important when reviewing yesterday's surprising results.

Yesterday's Results Can Reveal Overconfidence

A model becomes overconfident when its high probability estimates settle less often than the percentages imply.

Example

If a large sample of predictions marked near 80% wins only 62% of the time, the model's probabilities may be too aggressive.

Underconfidence

The reverse can also occur. If 60% predictions repeatedly settle at a much higher rate, the model may be assigning too little probability to its strongest outcomes.

These questions require larger historical datasets, but yesterday's fixtures should remain part of that audit trail.

League-Level Accuracy Can Reveal Differences Hidden Globally

A single global accuracy figure can obscure how model performance varies between competitions.

High-data leagues

Major competitions may provide deeper and more consistent team, player and event data.

Lower-data competitions

Some leagues offer fewer reliable inputs or shorter historical samples.

Competitive structure

Leagues with very different levels of parity can also produce different Home, Draw and Away distributions.

Where sample size allows, Betiball can therefore break historical results down by competition alongside the global total.

Home Advantage Should Be Audited Rather Than Assumed

Home teams often receive a different baseline from away sides, but the strength of that effect varies by league, season and club.

Yesterday's results can help evaluate whether the model's home-win probabilities are calibrated correctly rather than simply assuming home advantage has a fixed value everywhere.

Home predictions with large gaps

Track whether strong Home selections settle at appropriately high rates.

Balanced fixtures

Where Home, Draw and Away probabilities are close, the venue effect should not make the result appear more certain than the data supports.

Draw Predictions Need Their Own Historical Review

The Draw is often the least intuitive outcome to evaluate because it is neither a home nor away victory, but it should be treated as a complete result class.

Draw probability calibration

Matches given similar draw probabilities can be grouped to see how often they actually finish level.

Do not evaluate Draw only when it is the top pick

A 30% Draw probability still contributes to calibration even if Home was the leading outcome.

Low-scoring environments

Expected goal level can provide useful context because scorelines such as 0-0 and 1-1 form part of the draw distribution.

Yesterday's Results Should Be Final Before They Are Audited

A prediction should only be treated as settled when the relevant match result is final under the rules used by the product.

Postponed matches

A postponed fixture should not be counted as a correct or incorrect prediction.

Abandoned matches

The competition's official determination should be considered before adding the match to settled performance.

Pending corrections

If the data feed has not yet confirmed the official final result, the fixture should remain unresolved rather than being prematurely added to the accuracy calculation.

Regulation Result and Penalty Shoot-Out Result Should Not Be Mixed

A standard 1X2 result normally concerns the relevant regulation match period unless the product explicitly defines another settlement rule.

A knockout match can therefore finish level for 1X2 purposes even if one side later advances through extra time or a penalty shoot-out.

IFAB Law 10 distinguishes the match result from penalties taken after the match to determine which team progresses.:contentReference[oaicite:1]{index=1}

Compare Yesterday's Result with Other 1X2 Matchdays

The Yesterday page provides the historical checkpoint in Betiball's matchday structure.

• All 1X2 Predictions
• 1X2 Predictions Yesterday
• 1X2 Predictions Today
• 1X2 Predictions Tomorrow
• 1X2 Predictions This Weekend
• All Football Predictions from Yesterday
• Football Fixtures
• Football Live Scores

Review Yesterday's Other Prediction Markets

A single match can be evaluated across several independent prediction markets. Historical results should remain separate because each market answers a different question.

How Betiball Should Report Yesterday's 1X2 Accuracy

A trustworthy historical results view should report performance in a way that cannot be improved retrospectively by hiding unsuccessful picks.

Count every eligible settled prediction

All qualifying predictions published before kick-off should remain in the dataset.

Keep incorrect predictions visible

Losses are part of the model record and should not disappear after settlement.

Preserve the original timestamp

The historical record should show when the prediction was last calculated before the match.

Preserve probability revisions

If probabilities changed after team news, the site can retain both the earlier version and the final pre-match version instead of silently rewriting history.

Separate cancelled and unresolved fixtures

Matches without a valid settled outcome should not distort the accuracy denominator.

Publish methodology consistently

The same definition of Correct and Incorrect should be applied across all dates and competitions.

Common Questions About Yesterday's 1X2 Predictions

What does 1X2 mean?

1 means Home Win, X means Draw and 2 means Away Win.

What is a correct 1X2 prediction?

The model's leading pre-match Home, Draw or Away outcome must match the actual settled result.

Why show yesterday's probabilities after the result is known?

Keeping the original probabilities creates a transparent historical record and allows users to evaluate uncertainty, calibration and model performance.

Does a wrong prediction mean the probability was necessarily bad?

No. A probabilistic forecast allows alternative outcomes to occur. Its quality is better judged across a large sample than from a single match.

Can a 75% prediction lose?

Yes. A 75% estimate still assigns 25% probability to other outcomes.

Why is sample size important?

Short runs can be dominated by randomness. Larger samples provide stronger evidence about whether prediction probabilities are performing consistently.

Should penalty shoot-outs count as an Away or Home win?

Not automatically. Standard 1X2 settlement should follow the defined match period. Penalty shoot-outs are separate from the match result under the official Laws.:contentReference[oaicite:2]{index=2}

Where can I see today's predictions?

Visit 1X2 Predictions Today for current fixtures.

Where can I see tomorrow's matches?

Visit 1X2 Predictions Tomorrow.

How the Official Match Result Is Determined

Under IFAB Law 10, the team scoring more recognised goals is the winner; when both teams score the same number of goals, or neither scores, the match is drawn. The Law also distinguishes procedures such as a penalty shoot-out from the match itself.:contentReference[oaicite:3]{index=3}

For the official framework, see IFAB Law 10 – Determining the Outcome of a Match.

Historical Results Should Be Used for Review, Not Certainty

Betiball provides football statistics and probability estimates rather than guaranteed results. Yesterday's settled fixtures can help evaluate how the model behaved, but a strong historical run does not guarantee the outcome of today's or tomorrow's matches.

Learn more about Betiball through About Us, FAQ, Terms of Use, Privacy Policy, Avoid Scam and Contact Us.

If you choose to gamble, only do so where legal and if you meet the applicable age requirements. Historical prediction accuracy should never be treated as a promise of future results. See Responsible Gaming for further information.