13-day market analysis
Filters
VIP members only
What are Filters?
- 1.The system scans the played matches of the last 13 settled days.
- 2.The real opening odds are split into narrow odds bands.
- 3.For each band, it counts which outcomes occurred and how many times.
- 4.No outcome that cannot be calculated from at least 3 matches is shown.
- 5.Results are ranked with a sample-size adjustment and the list arrives ready.
You do not need to make any selection on the page; the list arrives ready and refreshes every time the analysis runs. The results are historical performance information, not predictions.
The played matches of the last 13 settled days are scanned to answer, by counting, the question: "when a market's opening odd was inside this band, which outcomes occurred and how often?" You do not need to select anything — the list refreshes itself every time the analysis is run.
What does the Filters page do?
Filters is a results table that scans the played matches of the most recent settled days and answers, in aggregate, the question "when a market's opening odd was in this band, which outcomes occurred and how often?" It looks at outcomes accumulated at band level, not at a single match.
How it works
- 1.The system scans the played matches of the most recent settled days; today and any future date are excluded under all circumstances.
- 2.Opening odds are split into narrow proportional bands. The bands do not overlap, so the same match is never counted in two bands.
- 3.For each band, outcome families (match result, over/under, both teams to score and so on) are counted separately.
- 4.Rows are ranked not by raw percentage but by how far the outcome deviates from its own base rate — so outcomes that are already common do not fill the list.
Data source and coverage
The scan runs on real archived opening odds and real match scores. Outcomes are not stored, they are derived from the score; if a score is corrected, the next run reports the corrected number.
- Last 13 settled days
- Scanning window
- 3 matches
- Minimum sample
What the result means
Every row states three things together: how often the outcome occurred inside that band, how many matches it was calculated from, and the outcome's overall base rate. Without the base rate a percentage is meaningless on its own — if an outcome already happens in most matches, a high percentage carries no information.
Limitations
- ·If a band does not contain at least a minimum number of matches, no row is produced at all; percentages are never drawn from small samples.
- ·Band boundaries are exact, so two very close odds can fall into different bands.
- ·The window is limited to the most recent settled days and does not cover the whole archive.
- ·Past data is not a guarantee of future results; the final judgement is always the reader's.
Frequently asked questions
How do you filter betting odds?
On this page filtering takes two steps: you choose the market type and the outcome type. The system splits the matches of the most recent settled days into odds bands and shows how often that outcome occurred in each band. Your selection is written into the address bar, so the result can be shared.
Where do the odds statistics come from?
The statistics are produced from our own archive: imported real opening odds and the matches' real final scores. No ready-made statistics list is taken from outside, and no number is entered by hand.
Why does the sample size next to a percentage matter?
Because the same percentage could come from 4 matches or from 400, and those two do not mean the same thing. That is why this page never shows a percentage without its sample, and marks rows built on small samples separately.
What does base rate mean?
It is how often an outcome occurs across the whole window with no filter applied. A band's percentage only becomes meaningful when compared against that base rate; if there is no deviation from the base, the band carries no extra information about that outcome.
Related pages
This page is an analysis tool, not betting advice. See our Editorial Principles for how we publish and correct, and the Data Centre for the scope of the underlying data.