Documentation

KickLeak Wiki

A single guide to understand metrics, filters, and key platform features.

You can start from the Metrics tab or the Match Analyzer tab, based on what you need.

Back to Match Analyzer

Metrics: quick guide

Core metrics

Core metrics are mainly used to evaluate signal stability and reliability.

Confidence: indicates how clear the signal appears for a specific outcome.

Overall Confidence: overall reading of the match; useful as a first filter.

Market-specific Confidence: confidence focused on a specific market (1X2, U/O 2.5, BTTS, Scoreline).

Agreement: in practical use, helps you see whether the signal looks more consistent or more uncertain.

Reliability: in practical use, helps you see whether that match profile tends to be more stable over time.

Context metrics

Context metrics describe the match, but they do not replace core metrics.

Match Type: match category; useful to compare matches with similar characteristics.

Form (if present): summarizes a team recent trend.

Averages (if present): provide a summary of typical values; use them as support, not as the only criterion.

What Match Analyzer is

Match Analyzer is a tool to explore upcoming matches with custom filters and sorting.

It does not give a pre-packaged list: you decide which matches to see and which criteria to use.

In practice, it helps you move from a broad match list to a clearer and easier-to-read selection.

Basic workflow in 5 steps

  1. Choose the time window first (today, tomorrow, or next days) to reduce the list immediately.
  2. Apply core filters (competitions, match type, minimum thresholds) based on your goal.
  3. Sort results to see first the matches that are most useful for your analysis.
  4. Open match details to inspect the game context more deeply.
  5. Compare core metrics and context metrics for a more complete reading.

Filters: what they are, when to use them, how to combine them

Days ahead

Defines the time horizon for the match list.

When to use it: always as the first step, to avoid overly broad analysis.

Example: if you want a quick review, set Today or Tomorrow before any other filter.

Competitions

Select the competitions to include in the search.

When to use it: when you want to focus only on leagues you know better.

Useful combination: Competitions + Match Type for a more focused list.

Match Type

Filters matches by game category.

When to use it: when you want to compare matches with similar profiles.

Useful combination: Match Type + Reliability to check context and stability together.

Min Agreement

Sets a minimum Agreement threshold.

When to use it: when you want to reduce matches with less consistent signals.

Useful combination: Min Agreement + Agreement DESC sort to push steadier matches to the top.

Min Reliability

Sets a minimum Reliability threshold.

When to use it: when you want a selection with more regular historical behavior.

Useful combination: Min Reliability + Min Confidence Overall for a stronger filter.

Min Confidence

Groups confidence minimum thresholds.

When you use multiple confidence thresholds together, a match must satisfy all of them.

Example: Overall + 1X2 helps avoid matches that look strong overall but weak on the market you care about.

Confidence Overall

General match confidence. A good starting point when you do not want to start from a specific market.

Confidence 1X2

Confidence dedicated to the 1-X-2 full-time result. Use it if this market is your focus.

Confidence U/O 2.5

Confidence dedicated to total goals over/under 2.5.

Confidence BTTS

Confidence dedicated to the Both Teams To Score market.

Confidence Scoreline

Confidence dedicated to exact scores. It is usually a more selective filter.

Sorting: how to use it well

Sort by

Chooses the main criterion that decides what you see first in the list.

When to use it: right after filtering, to rank results by your current priority.

Direction

DESC shows higher values first; ASC shows lower values first or earlier kickoffs.

When to use it: to decide whether to start from stronger cases or from a chronological view.

Sort: Match Type

Useful to read matches in similar groups.

Sort: Reliability

Useful when you want to see more stable profiles first.

Sort: Agreement

Useful when you want to start from matches with more consistent signals.

Sort: Confidence Overall

Useful for a general selection before focusing on one market.

Sort: Confidence 1X2

Useful if your main goal is to review 1X2-oriented matches first.

Sort: Confidence U/O 2.5

Useful if you want to start from matches that look clearer on total goals.

Sort: Confidence BTTS

Useful for a BTTS-oriented review.

Sort: Confidence Scoreline

Useful when you want to prioritize matches with clearer exact-score signals.

Sort: Match date/time

Useful to organize your analysis in chronological order.

Result limit

Result limit caps the final number of matches shown after filtering and sorting.

When to use it: enabled for a quick shortlist; disabled for a full overview.

Example: Result limit 8 + Agreement sort to get a short and ordered list immediately.

Mini practical scenarios

Scenario 1: quick daily review

Set Today, add a minimum Overall Confidence filter, and sort by kickoff: you get a clear checklist in time order.

Scenario 2: compare similar matches

Filter by one or two Match Types, then sort by Reliability: read first the profiles that appear more stable in your set.

Scenario 3: reduce uncertainty

Use Min Agreement together with Min Confidence: reduce noise and make the list more selective before opening match details.

Final takeaway

To use Match Analyzer in a simple way: start from time, apply a few key filters, sort by priority, then review match details.

Look first at core metrics (Confidence, Agreement, Reliability) and use context metrics to complete your reading.