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Passing Statistics

Passing statistics measure how effectively a player or team moves the ball between teammates.
These metrics help evaluate ball circulation, buildup play, and chance creation through passes. Passing data is derived from event-based match tracking, where each pass is recorded with:

• Player
• Receiver
• Result (success / fail)
• Location on the pitch
• Timestamp

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Passing Metrics

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Passing Accuracy

Passing accuracy measures the percentage of successful passes relative to total attempts. $$\text{Passing Accuracy} = \frac{\text{Success Passes}}{\text{Total Passes}} \times 100$$

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Short Pass Accuracy

Short pass accuracy evaluates the effectiveness of short-distance distribution. $$\text{Short Pass Accuracy} = \frac{\text{Success Short Pass}}{\text{Total Short Pass}} \times 100$$

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Long Pass Accuracy

Long pass accuracy measures a player’s ability to successfully deliver long-distance passes. $$\text{Long Pass Accuracy} = \frac{\text{Success Long Pass}}{\text{Total Long Pass}} \times 100$$

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Failed Passes

Failed passes represent passes that did not reach a teammate. $$\text{Failed Passes} = \text{Total Passes} - \text{Success Passes}$$

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Relationship Between Passing Metrics

Passing metrics are logically related. Total Passes ├── Success Passes └── Failed Passes Total Short Pass ├── Success Short Pass └── Failed Short Pass Total Long Pass ├── Success Long Pass └── Failed Long Pass

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Tactical Interpretation

Passing statistics help analysts evaluate:

• Team buildup structure
• Ball circulation speed
• Playmaking influence
• Possession stability

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Key Passes and Chance Creation

A Key Pass is defined as a pass that directly leads to a shot attempt. Player A → Pass → Player B → Shot Key passes are a fundamental indicator of creative contribution. They are closely linked with:

• Assists
• Chances created
• Expected Threat (xT)

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Example Passing Scenario

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Related Statistics