Historical model records for Tianqi-1 (360 matches, 4 Jan – 20 Sep 2026) will be published here for verification, once the records have been transferred from the system that currently holds them. We are not claiming that a searchable record is available yet — this page will show the data itself when it is.
—Matches, to be published
—First publication
—Latest publication
—With a final score
How this page will work.Published is the moment the analysis went out — always before Kick-off, and that ordering is the whole point: it is what separates a record from a story told afterwards. Each dimension is marked ✓ hit or ✗ miss against the final score, using the definitions below so that the marking is reproducible rather than a matter of opinion. Rows with no score yet will be shown as pending.
Full-time — marked a hit when the published full-time call matches the final result (home win / draw / away win).
Half-time — marked a hit when the published half-time call matches the result at half-time.
Handicap — marked a hit when the published handicap call matches the result after the published handicap line is applied to the final score.
Important. This page is a historical record of published analysis. It is not betting advice, not a recommendation to gamble, and not a forecast. A past record — good or bad — does not tell you what will happen next. SXS provides football data and information services only.
Published
Kick-off
League
Match
Full-time
Half-time
Handicap
Final score
Record
Historical model records are being prepared for publication.
The records cover 360 matches, 4 January 2026 to 20 September 2026. When they are published, the table above is the format they will take — one row per match, with the publication timestamp, the model output for each dimension, the final score, and the hit/miss marking.
The table is driven by a data file rather than typed in by hand, which is deliberate: a record that can be edited by hand is not worth much. When the file below is populated, the table appears automatically.
/uk/records/data.json
Corrections. If a row is missing, if a score does not match the official record, or if a publication timestamp is wrong, tell us and we will correct it on the page. We will not silently delete a losing row.