Backtesting

Arbitrage Report

Find all arbitrage bets based on specific filtering criteria. For example, identify all arbitrage opportunities between your main bookmaker and the bookmakers you compare it with, with 3%+ profitability and a minimum lifetime of 3 seconds. GGR is calculated for all bets and grouped by sport, league and event.

How it works

The report is built on historical data from the Archive. For every arbitrage found, a single $1 stake is split between the two legs in proportion to the odds:

Stake for odds1 = 1/odds1 / (1/odds1 + 1/odds2)
Stake for odds2 = 1/odds2 / (1/odds1 + 1/odds2)

Profit is then calculated from the actual event outcome, which lets you assess how effective the odds were.

Configuration Parameters

• Choose event type: Live or Prematch.
• Choose sports: Pick one or more sports for the analysis.
• Set time period: Define the time range (e.g., specific dates) for which you want to analyze data.
• Select the main bookmaker: Choose the main bookmaker whose odds will be compared to others.
• Choose other bookmakers for comparison: Select the bookmakers that will be used to compare odds against the main bookmaker.
• Set minimum arbitrage percentage (min_arb): Set the lowest percentage of arbitrage bet for which bets will be included (default is any arbitrage bet above 0%).
• Set minimum arbitrage time (min_arb_age): Specify the minimum time (in seconds) from when you find an arbitrage bet to when it’ no longer available (default > 4 seconds).
• Filter by markets: default: all available markets in our system.
• Filter by leagues: default: all leagues.
• Choose table format: Decide how to display the profit – either by “Sports – Event” or by” Sports – Event – Market”.

Examples of the Reports
Sports – Event

Sports – Event – Market

Table Fields

• kind – Live or Prematch event
• sport_name – Sport name
• league_name – League name
• start_time – Event start date and time
• event_name – Event name
• period_name – Name of the period during which the arbitrage situation occurred
• score_type – Type of market where the arbitrage situation occurred
• (e.g., corners, yellow cards, etc.)
• market_title – Market name where the arbitrage situation occurred
• bookmaker_1 – Main bookmaker
• bookmaker_2 – The second bookmaker involved in the arbitrage situation
• cnt_arb – Number of arbitrage situations
• turnover1 – Total stakes for the main bookmaker
• turnover2 – Total stakes for the second bookmaker involved in the arbitrage situation
• profit1 – Profit for the main bookmaker
• profit2 – Profit for the second bookmaker involved in the arbitrage situation
• ggr1 – Calculated as (profit1 / turnover1) * 100%
• ggr2 – Calculated as (profit2 / turnover2) * 100%