Reporting

The Reporting section of the MTS Console provides a centralised and interactive view of betting ticket activity and system behaviour. It allows operators and analysts to monitor key business indicators such as turnover, profit, margin, and rejection rates—across various filters like bookmaker, sub-bookmaker, bet type, or time frame.

The section is divided into three tabs:

• Summary

• Detailed

• MTS – Model Rejections

Summary tab

The Summary tab offers a high-level snapshot of your betting operation’s health. It is ideal for daily checks, weekly overviews, or quick performance reviews with stakeholders.

Filters

You can customise the view by selecting:

• Data Aggregations: Daily / Monthly

• Bookmaker / Sub-Bookmaker

• Start Date / End Date

• Bet Type

• Live / Prematch / Mixed bets

Key Performance Indicators (KPIs)

At the top of the page, six performance metrics are displayed:

• Accepted Tickets by Day

• Accepted Turnover by Day

• Average Stake by Day

• Profit by Day

• Margin by Day

Below the KPIs are key visual breakdowns:

• Accepted Tickets by Liveness (Live, Prematch, Mixed)

• Accepted Tickets by Bet Type (Singles, Multiples)

• Unsettled Tickets Ratio

• Rejected Tickets Ratio

• Accepted Tickets Trend over time

Use the Measure dropdown to switch between:

• Tickets

• Turnover

• Profit

• Margin

Detailed tab

The Detailed tab provides a day-by-day or month-by-month breakdown of your KPIs in a tabular format. This view is particularly useful for data analysts, finance teams, and operations managers who want granular visibility over time.

Key Figures By Day/Month

Each row in the table corresponds to a calendar date/month and includes:

• Accepted Tickets

• Accepted Turnover

• Average Stake

• Profit

• Margin

• Expected Profit

• Efficiency (% of Expected Profit realised)

• Rejected Tickets and Turnover

• Rejected Stake, Profit, Margin

• Unsettled Tickets and Turnover, Expected Profit and expected Completion Time (last settlement date)

Daily Trend Graph

The lower part of the screen provides a time-series visual of the Accepted Tickets Trend, useful for identifying cyclical patterns, betting spikes, or drop-offs.

Use the Measure dropdown to switch between:

• Tickets

• Turnover

• Profit

• Margin

MTS – Model rejections tab

This tab gives deep insight into why bets are being rejected by the system. It's especially helpful for support teams, risk managers, and integration stakeholders looking to address open issues or understand model-driven restrictions.

Rejected tickets overview

The top section includes:

• Rejected Tickets Ratio

• Rejected Tickets by Day

• Rejected Turnover

• Rejected Expected Profit

• Rejected Expected Margin

• Daily Rejected Ticket Trend

Rejection breakdown table

The main table outlines daily data and breaks it down by Rejection reason, including:

• Market expired

• Odds offset limits

• Exceeded liability

• Max payout breach

• Invalid market

• Event not found or inactive

• Internal system rules

• Others

Each reason includes:

• Count of rejected tickets

• Associated turnover

• Average stake

• Estimated profit impact

Rejection reason bar chart

A horizontal bar chart ranks rejection reasons by ticket volume, highlighting key systemic or model-related limitations.

Use cases

• Finance teams can track profitability and efficiency on a daily or monthly basis.

• Risk teams can investigate high rejection rates by specific reason and date.

• Customer service can cross-reference ticket rejections for dispute resolution.

• Product teams can monitor the performance of new bet types or features.

• Account managers can prepare data-backed insights for operator reviews.