The mean value of the selected metric across the historical sample.
DiscoverMatch Finder
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FOOTBALL · DISCOVER
Find the signal.
Inspect the evidence.
Build transparent statistical rules against upcoming fixtures. StatMindX checks historical samples and shows exactly why each match passed.
Rule-based discovery Evidence first Upcoming fixtures
How to use Match FinderDescribe the type of upcoming fixture you want to find, then verify why every returned match satisfied every rule.
- 1
Choose the fixture season, date window and competitions that define the upcoming-match search universe.
- 2
Build one or more rules. Every rule uses its own metric, perspective, period, sample and split.
- 3
Remember that rules are combined with AND logic: a fixture appears only when every configured condition passes.
- 4
Set the minimum valid sample and decide whether incomplete historical samples are acceptable.
- 5
Open the evidence for each result and inspect the observed value, target, sample coverage and historical season provenance.
Key terms
The percentage of sample games in which the selected line or threshold condition was met.
Every selected historical match contains the requested metric. Turning this off allows partial samples that still satisfy the minimum valid-match requirement.
Controls whether early-season evidence can extend into the previous season or must remain inside the fixture season.
A Match Finder result means the historical rules matched. It is not a prediction that the upcoming fixture will repeat those historical outcomes.
01 · SCOPE
Choose the search universe
Set the date range and competitions StatMindX should inspect.
0 competitions selected · Season0 upcoming fixtures in scope
Fixture season controls which upcoming fixtures can enter the search. Historical evidence is controlled separately in Data Quality.
02 · RULES
Build the research question
Every condition is evaluated independently and every rule must pass for a fixture to appear.
Quick startsTransparent templates you can edit.
RULE 01Home team · Corners for average over last 10, at the upcoming match venue, ≥ 5.
03 · DATA QUALITY
Control the evidence standard
Define how much historical data can support every rule and how strictly StatMindX should treat early-season samples.
REUSABLE RESEARCH
Save this query
Saved searches reopen with a fresh date window relative to today.
QUERY READYSeason · 0 competitions · 1 rule · automatic evidence