Picks history

Verifiable football picks performance

Choose a pick type, adjust the threshold and check the impact on matches that have already settled.

Data updated on

Methodology and engine versions documented View method
View picks history 1X2 history

Current filter statistics

These figures depend on the selected pick type, threshold, profile and leagues.

Winning volume Correct results 376 Number of winning picks on settled matches.
Analyzed base Analyzed matches 545 Volume used to judge the selected market and threshold.
Main signal Success rate 68.99% The first number to compare when testing settings.

Filters

Step 1
Choose the pick type

Start with the market you want to evaluate, then refine the threshold below.

Step 2
Higher means fewer picks, but usually stronger quality.
55%
Create profile

Step 3
Keep "All leagues" for the broadest view.

History

Cumulative correct picks

Cumulative curve: a steeper slope means more correct picks over the period.

Matches

FAQ - how to read picks performance

Why a different threshold for each pick type?

Each market has a different difficulty (1X2 vs BTTS vs Over/Under). A tailored threshold makes comparisons more meaningful.

Why show "verifiable" matches?

So you can check everything: transparency is the best protection against marketing hype.

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.