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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19244247 |
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| _version_ | 1866901083432943616 |
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| author | Daniel, Morgan Murray, Roan Lyons, Aiden |
| author_facet | Daniel, Morgan Murray, Roan Lyons, Aiden |
| contents | <p>A throw-level dataset of 279,859 dart throws from 1,361 professional <br>matches (9,011 legs, 245 players, 15 competitions) sourced via the <br>Sportradar Darts API, covering September 2025 to March 2026. Each row <br>corresponds to a single dart throw and contains game-state variables <br>(remaining scores before/after, leg, throw index, checkout flags), <br>player and opponent identifiers, observed segment label, and derived <br>bust/gameshot flags. Collected to support pre-throw intent prediction <br>for automated darts broadcast spotting.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19244247 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Professional Darts Throw-Level Intent Dataset (2025–2026) Daniel, Morgan Murray, Roan Lyons, Aiden <p>A throw-level dataset of 279,859 dart throws from 1,361 professional <br>matches (9,011 legs, 245 players, 15 competitions) sourced via the <br>Sportradar Darts API, covering September 2025 to March 2026. Each row <br>corresponds to a single dart throw and contains game-state variables <br>(remaining scores before/after, leg, throw index, checkout flags), <br>player and opponent identifiers, observed segment label, and derived <br>bust/gameshot flags. Collected to support pre-throw intent prediction <br>for automated darts broadcast spotting.</p> |
| title | Professional Darts Throw-Level Intent Dataset (2025–2026) |
| url | https://doi.org/10.5281/zenodo.19244247 |