Opta Vision

Bringing event & tracking data together to generate powerful new insights

Opta Vision combines Stats Perform’s industry leading Opta event data with player tracking to create a single, merged dataset, delivering richer performance insights to professional teams and exciting new opportunities for broadcasters and publishers to generate new storylines.

Unique tactical insights, communicated to audiences in real-time.
Objective off-the-ball trend detection, generating new talking points to fuel debates and analysis.
Greater context to passing data, identifying standout performers to inform editorial content and player profiling.

Introducing Opta Vision (00:01:19)

Models Available Through Opta Vision

Shape Analysis

Trained on millions of tracking data points, Shape Analysis automatically identifies the true shape of both teams on the field, in and out of possession, as well as detecting how they change and evolve throughout a game in real time.

Expected Pass Completion

Expected Pass Completion (xP) attributes a value to every pass attempted in a game, based on the probability of the pass being completed. The model takes into account the location of each player on the field, the pressure being applied by the defensive team and several other contextual pass factors.

Pass Options & Availability

This model is applied to identify the total viable pass options for a player on the ball, as well as establishing which teammates are available to them as a potential receiver.

Expected Threat

Expected Threat (xThreat) establishes the likelihood of a shot happening within the next ten seconds of play, if a player were to receive a pass from a teammate. The model takes into account the on-field movement of all players, both defensive and offensive, before assigning a probability for a shot occurring.

Pass Option Quality

By combining Expected Pass Completion and Expected Threat outputs, Pass Option Quality can be applied to highlight the areas of the pitch where a team’s high quality passing options exist – and the outcomes based on whether a team, or their individual players, are strong at exploiting them.

Data Points Available Through Opta Vision

Line Breaking Passes

Using on-field player positional data captured by tracking sources, Qwinn is able to accurately capture all situations where a player’s pass successfully breaks an opposition line, which is recorded as a qualifier to a pass.

Pressure Intensity

Pressure Intensity automatically identifies when defensive players are approaching the player in possession with the aim of winning the ball back or limiting passing options. Taking into account the three closest opposition players to the ball, a pressure level is captured for every open play pass.

How do we create the models?

Opta Vision’s tracking data includes stadium feeds from camera systems installed at match venues and, for the first time, remote tracking collection from video sources, leveraging cutting-edge computer vision technology.

The overall process encompasses five key stages, covering:

Stage 1 – Video Capture: Match footage is collected from in-stadia cameras and remote feeds.
Stage 2 – Live Data Generation: Highly skilled analysts use bespoke software to collect consistent, accurate event data. At the same time, 25Hz tracking data of all players and the ball is generated from stadium cameras, at 25 frames per second, in parallel to real-time remote tracking capture.
Stage 3 – Real Time QA: Live QA of stadium tracking in-venue, in parallel with QA of remote tracking.
Stage 4 – AI Modelling: Qwinn intelligence is applied live to enrich data sources, generating new data points and predictive metrics
Stage 5 – Enriched Outputs: Advanced performance insights are generated and delivered live to customers via Opta Vision feeds.

Opta Vision in Action

Communicate player role changes

Shape Analysis automatically detects when a player switches role on the pitch, providing an objective, data-driven alert of a tactical tweak made by a team.

Analyse a player’s passing tendencies

Better understand how a player typically attempts to distribute the ball. Do they attempt safe, low risk passes, or do they look to penetrate the opposition?

Identify proactive players

If a player is not seeing much of the ball, how proactive are they being in getting involved? Compare each player to see who is making the most effort to get away from their opponent to receive a pass.

Which players break opposition lines?

Line breaking passes have the potential to cause significant disruption to a team’s defence. Identify the players who regularly put their opposition under pressure as a result of these passes.

Enhance Your Analysis of Players and Teams

Provide a deeper level of live insight and analysis, using the most sophisticated advanced Opta metrics.

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