SYNATHRA.Sport v0.5 — Demo Page

event-chain riskdomain transferfrozen score

Demo claim: the same frozen score keeps ranking power across five football validation groups, including club football and women's international football.

What the demo shows

1. Event stream input
The model reads football event data and constructs event states, risk signals, and chain context.
2. Frozen score
Every event receives the same frozen hybrid_score_v0_1; no local weights are fitted for Ligue 1 or WWC 2023 in the v0.5 release claim.
3. Short-horizon validation
Events are ranked by score and checked against future goals, high-xG shots, and shots within the next 10 events.
4. Domain-transfer result
The score retains signal in men’s international tournaments, club football, and women’s international football.

Primary metric: future_goal_h10

group_key domain_shift_type target_role observations positives top10_lift roc_auc average_precision
FIFA World Cup 2018 same_family_cross_season base_v0_4 71838 590 4.677836 0.741665 0.098395
FIFA World Cup 2022 same_family_cross_season base_v0_4 234637 1808 4.977812 0.748289 0.111904
Ligue 1 2021/2022 club_transfer v0_5_candidate 101766 810 4.678828 0.734050 0.096429
UEFA Euro 2024 cross_competition_mens_international base_v0_4 187924 1140 4.763006 0.756462 0.069080
Women's World Cup 2023 gender_transfer v0_5_candidate 226118 1664 4.843707 0.729025 0.089754

How to read top10_lift

A top10_lift of 4.0 means that events in the highest-scored 10% contain about four times the future-goal rate of the average event population.

Demo narrative

event в†’ chain context в†’ frozen hybrid score в†’ short-horizon danger ranking в†’ explanation

Boundary

This demo does not forecast the final score of a match. It identifies and explains event-chain risk before future danger appears.