TRANSPARENCY & HISTORY

Verifiable history of Foresportia performance

Explore the historical results of picks generated by Foresportia. Compare our modes, markets and your own profiles on settled, verifiable matches.

Data updated on

View performance
Verifiable results No manual deletion Backend history preserved
PERFORMANCE SUMMARY

What the current filter shows

Mode Performance
Verified picks 111 Settled matches in the current scope
Success rate 75.70% Main indicator for comparing settings
Correct picks 84 Winning predictions among verified picks
Analysed source Foresportia Canonical thresholds for the selected mode
Quick read

Performance mode currently shows 75.7% success rate across 111 verified picks.

MarketChoose what you want to verify
Mode / ProfileForesportia modes or saved profile
Create or edit a profile →
LeagueGlobal view or a specific competition
Probability thresholdManually refine the current market
55%

PERFORMANCE OVER TIME

Cumulative correct picks

The simple view only shows the cumulative progression of correct picks.

The curve shows the cumulative number of correct picks over time.
VERIFIED RESULTS

Latest picks matching the filter

Each row links a published prediction to its actual result.

View methodology →
TRANSPARENCY & METHODOLOGY

A page designed to verify Foresportia, not promise an outcome

Picks are archived by the backend, matched with final scores, then shown here with their market, probability and outcome. Performance, High performance and Ultra high performance use the same canonical configurations as Top AI Picks.

View methodology

AI football picks performance: Double Chance, DNB, BTTS, Over/Under

Foresportia tracks performance across several AI football pick types (Double Chance, Draw No Bet, 1X2, BTTS, Over 2.5, Under 2.5), with filters by probability threshold and league, plus match-by-match verification.

This page extends the core 1X2 history by showing how Foresportia probabilities behave on derivative markets. The goal is not to stack picks blindly, but to measure how each market reacts to real football results once you control for sample size, league context and the selected threshold. A high win rate on a tiny sample is not the same as durable reliability on a large one.

The verification method is straightforward: each pick type has a clear definition, each threshold is explicit and every displayed result comes from settled matches. That makes it possible to compare Double Chance, DNB, BTTS and Over/Under on a consistent basis, then connect each setting to verifiable fixtures. In practice, this page works as a proof layer for market-specific reading, not as a promise page.