SPX Quant Engine · Match Research Note · #1340615
◆ SPX Quant Forecast
Sign in to read the full archive
The full settled-report archive, SHA256 verification, match facts, the Quant Arena and your personal accuracy dashboard are free — just create an account.
Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Sligo Rovers
4-2-3-1Player 18065G
Player 20021D
J. MahonD
Player 424326D
Player 551425
J. Doyle-Hayes
Player 355667M
Player 69714M
Owen EldingM
Player 69619M
Player 69692F
Waterford
4-3-1-2S. McMullanG
Player 129717D
D. LeahyD
Player 407941
Player 130849D
Player 378841M
J. OlayinkaM
Player 286386M
C. NoonanM
Player 317984F
Player 82045F
Sligo Rovers named a notably stronger XI than its recent baseline.
Post-Match Deep Analytics
Key absences, beyond-outcome calls and per-player tactical visuals — the shot-based panels finalize from official match data after full-time.
Shot-quality scatter · pass-success grid · key absences · expected shots · beyond-outcome calls — the full tactical deep-dive is a Premium feature →
Integrity Lock
This report's latest stage was generated at 2025-06-13T18:45:00.000Z and its canonical JSON hashed with SHA256. Each prior stage carries its own hash inside the corresponding tab so you can audit every step independently.
Model v4.01 · Public beta: every published forecast is timestamped and model-versioned. When the beta period ends (June 2027), per-fixture pre-kickoff forecasts become immutable under our SHA256 audit policy.