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A gradient-boosted tree framework that quantifies confidence in tennis players across their history of matches. Data was taken from the Jeff Sackman datasite. The model holds multi-functionality, using these derived confidence quantifiers to predict the outcome in future matches between any two relevant players.

active 2025-09-252025-09-25 (UTC)

Complete coverage26,403 / 26,403 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
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Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-09-25 to 2025-09-25. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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Recent activity

Latest issues, pull requests and releases

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.