# Soccer Action Spotting on SoccerNet v1 (test)

Source: [Soccer Action Spotting on SoccerNet v1 (test)](<https://www.sota2.com/research/sota/soccer-action-spotting-on-soccernet-v1-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:38:57.172Z

Evaluation of Soccer Action Spotting performance on the test split of the SoccerNet v1 dataset, reporting metrics for Cards, Subs, Goals, and overall Average.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Soccer Action Spotting |
| Dataset (including any stated split) | SoccerNet v1 (test) |
| Metric | Cards |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Cards](<https://www.sota2.com/research/sota/soccer-action-spotting-on-soccernet-v1-test.md?metric=Cards>): Higher is better; unit: SCALAR.

- [Subs](<https://www.sota2.com/research/sota/soccer-action-spotting-on-soccernet-v1-test.md?metric=Subs>): Higher is better; unit: SCALAR.

- [Goals](<https://www.sota2.com/research/sota/soccer-action-spotting-on-soccernet-v1-test.md?metric=Goals>): Higher is better; unit: SCALAR.

- [Average](<https://www.sota2.com/research/sota/soccer-action-spotting-on-soccernet-v1-test.md?metric=Average>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Cards | Result date | Report paper |
| --- | --- | --- | --- |
| multi-tower temporal convolutional network | 63.1 | Not recorded | 68fa675d1e209131cea15e13 |
| Giancola et. al | 52.1 | Not recorded | 68fa675d1e209131cea15e13 |

### multi-tower temporal convolutional network

Cards: 63.1. Result ID: 698d31278b517eb4331fb3fe.

[Reporting paper](<https://www.sota2.com/research/paper/68fa675d1e209131cea15e13.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa675d1e209131cea15e13.md>)

Recorded evaluation configuration: {"tolerance (delta)":"60s","backbone":"ResNet"}. This record does not assert independent reproduction.

### Giancola et. al

Cards: 52.1. Result ID: 698d31278b517eb4331fb3fd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa675d1e209131cea15e13.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65821e209131cea0aa33.md>)

Recorded evaluation configuration: {"tolerance (delta)":"60s"}. This record does not assert independent reproduction.

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