Research transparency
Research Data and Sources
Betting Maths publishes the inputs, derived data and calculation methods behind its original research wherever practical, so readers can inspect what was measured and reproduce the arithmetic.
Current public datasets
Premier League 2025/26
Opening-weekend 1X2 margins
Ten Premier League matches with Bet365, market-average and best-available opening and closing 1X2 prices, plus Betting Maths-derived book percentages.
- Underlying source
- Football-Data.co.uk, 2025/26 English Premier League CSV (E0)
- Sample
- All 10 matches in the opening Premier League round, 15–18 August 2025
- Derived fields
- Opening book %, closing book %, and best-available combined book %
- Published by Betting Maths
- 20 August 2026
One dataset, several research questions
The public CSV currently supports four separate observed-data studies. Reusing the same underlying sample is deliberate: it lets us ask different questions about bookmaker-specific prices, market averages, cross-bookmaker maximum prices and opening-versus-closing movement without quietly changing the matches being analysed.
This also makes the work easier to audit. A reader can download one file and reproduce the headline calculations across the entire Premier League research series.
How derived data is created
When Betting Maths uses an external dataset, we try to preserve a clear distinction between the source fields and the figures we calculate ourselves.
- Source odds remain identifiable in the downloadable file.
- Derived book percentages are calculated from the stated formula.
- Rounding is applied only for presentation; the methodology page explains the general approach.
- Sample size and date range are stated on the research page.
- Important limitations are published alongside the findings.
Primary and secondary sources
For mathematical research, the strongest source is often the underlying data itself. For rules, definitions or regulatory claims, Betting Maths prefers primary sources such as official bookmaker/exchange rules, GOV.UK, the Gambling Commission or the organisation responsible for the rule being described.
Secondary sources may be used for context, but they should not replace an available primary source for an important factual claim.
Reproducibility
A reader should be able to take the published inputs and get materially the same answer. That does not mean every page needs a downloadable spreadsheet, but original research should disclose enough information to test the result.
Example: for decimal odds 2.00, 3.50 and 4.00:
Book % = (1/2.00 + 1/3.50 + 1/4.00) × 100 = 103.57%
If a future analysis depends on modelling assumptions rather than directly observed data, those assumptions will be stated explicitly.
Corrections
If a derived dataset contains a transcription or calculation error, we will correct the public file and the associated article. Material corrections should be noted on the affected page.