MetaPred vs Forebet: Which Prediction Site is More Accurate?
A data-driven comparison of MetaPred and Forebet. See how their prediction accuracy stacks up across 2,850+ analyzed matches.
MetaPred and Forebet are both popular football prediction platforms, but they take fundamentally different approaches. Forebet uses a proprietary mathematical algorithm. MetaPred aggregates predictions from 8 providers — including Forebet — and calculates a consensus.
Which method produces better results? We compared them using real data from thousands of matches.
Head-to-Head Overview
| MetaPred | Forebet | |
|---|---|---|
| Accuracy | 52.7% | 49.4% |
| Predictions analyzed | 2,850 | 2,850 |
| Approach | Multi-source aggregation | Single algorithm |
| Ranking (out of 8) | 2nd | 7th |
| Accuracy difference | — | MetaPred is +3.3pp more accurate |
Over the same set of matches, MetaPred outperforms Forebet by 3.3 percentage points. That gap may seem small on a per-match basis, but across hundreds of predictions it represents a significant difference in the number of correct outcomes.
Accuracy Comparison
Let's look at the numbers in detail:
MetaPred: 52.7% accuracy across 2,850 tracked predictions. MetaPred ranks 2nd out of the 8 providers we track, behind only Statarea (54.3%).
Forebet: 49.4% accuracy across 2,850 tracked predictions. Forebet ranks 7th out of 8 providers, placing it below the average accuracy of 50.8% across all tracked sites.
The difference: MetaPred gets approximately 3 more predictions correct out of every 100. Over 1,000 predictions, that translates to roughly 33 additional correct outcomes — a meaningful edge for anyone following predictions consistently.
How Each Site Works
MetaPred: The Aggregation Approach
MetaPred does not generate its own predictions from scratch. Instead, it:
- Collects predictions from 8 different providers (Statarea, Forebet, RueDesJoueurs, FootballPredictions, Vitibet, OneMillionPredictions, BettingClosed, and its own model).
- Normalizes the data so different prediction formats are comparable.
- Identifies consensus — when 5 or more providers agree on an outcome, the prediction carries higher confidence.
- Presents the aggregated view with transparency about which providers agree and which disagree.
The principle is simple: combining multiple independent models reduces the impact of any single model's errors. This is the same concept behind ensemble methods in machine learning.
Forebet: The Single-Algorithm Approach
Forebet uses its own proprietary mathematical model that factors in:
- Historical match data and head-to-head records
- Team form and recent results
- Home and away performance
- Statistical probability calculations
The model produces probability percentages for each outcome (home win, draw, away win) and selects the most probable result as its prediction.
Feature Comparison
| Feature | MetaPred | Forebet |
|---|---|---|
| Prediction accuracy | 52.7% | 49.4% |
| Approach | Multi-source consensus | Single algorithm |
| Prediction types | 1X2, BTTS, Over/Under | 1X2, BTTS, Over/Under, Correct Score, HT/FT |
| League coverage | Major European leagues | Extensive (100+ leagues) |
| Provider transparency | Shows all 8 provider predictions | Shows only its own model |
| Free to use | Yes | Yes |
| Confidence indicators | Consensus level across providers | Probability percentages |
Forebet has an edge in league coverage and the number of bet types offered. MetaPred has the advantage in accuracy and transparency — you can see exactly which providers agree or disagree on each prediction.
When to Use Each
When Forebet is useful
- Niche leagues: If you follow a smaller league that MetaPred does not cover, Forebet likely has predictions for it.
- As one data point: Forebet works best when used alongside other sources rather than in isolation. Treating it as one input among many reduces the risk of following a single incorrect prediction.
- Correct score and specialty bets: Forebet offers more bet types, which can be useful if you are looking beyond standard 1X2 predictions.
When MetaPred is the better choice
- Accuracy priority: If getting the highest percentage of correct predictions matters to you, MetaPred's 52.7% accuracy is measurably better than Forebet's 49.4%.
- Consensus view: MetaPred shows you where multiple providers agree, which is a stronger signal than any single algorithm's output.
- Risk reduction: The multi-source approach smooths out individual provider errors, delivering more consistent results over time.
- Transparency: MetaPred lets you see all 8 provider predictions side by side, so you can form your own view based on the level of agreement.
Conclusion
The data is clear: MetaPred's multi-source aggregation approach delivers a measurable accuracy advantage over Forebet's single-algorithm model. A 3.3 percentage point difference (52.7% vs 49.4%) is significant when applied across a large number of predictions.
This does not mean Forebet has no value. It covers more leagues, offers more bet types, and provides a useful data point. But if you are choosing between the two based on accuracy alone, MetaPred delivers better results.
The broader lesson is that no single prediction model is best on every match. Combining multiple sources — whether you do it manually or let MetaPred do it automatically — is the smarter strategy for consistent results.
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