1. Abstract

Arrigo is Driblab's latest innovative solution, seamlessly integrating event and tracking data to offer a robust set of metrics. Purpose-built to enhance data-driven decision-making, Arrigo delivers deep insights into player actions, team dynamics, and strategic execution. Covering critical areas of gameplay Arrigo empowers teams to analyze real-time strategies, identify performance patterns, and make data-informed adjustments for optimized outcomes on the pitch.

2. Match Preprocessing

2.1.1 Data Retrieval

Tracking Data

• The Driblab API is used to obtain an AWS link, enabling the download of the tracking JSONL file.

Event Data

• Event data is retrieved through the Wyscout API, capturing detailed in-game events.

Offsets

• Two types of offsets are applied to synchronize data effectively:
  1. Footage Offsets: Derived from video footage, capturing ball and player detections.
  2. Event Offsets: Obtained from Wyscout to align accurately with the events data.
• We calculate the Offset Diff, representing the difference between these offsets across game halves (including both extra-time halves). This difference is essential for synchronizing tracking detections with event data.e

2.1.2 Data Merging and Synchronization

The integration of tracking data with Wyscout events is achieved through a left join. In this process, the tracking JSONL data remains unaltered, while each event is matched and repeated for the duration it covers.

For example:

If an event lasts for several frames, it will be appended to each corresponding row in the tracking data for that duration. This approach ensures that tracking data aligns consistently with event occurrences, allowing a detailed, frame-by-frame analysis of actions relative to player movements.