SPX Quant Engine · Match Research Note · #1554372
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AI Match Report · Engine Read
The confirmed-lineups read the Engine favored Larne (44%), and the live read grew to 94% by the 75-minute checkpoint as the match bore it out. Final: 0-1, a Larne win.
What we grade: only the forecast we SHA256-stamped before kickoff — the number on the public record. That was Larne (a lean, not a strong call), so this match is a hit in our published record. The in-play line is shown for transparency, never graded after the fact.
SPX xG
ⓘLineup Analysis
Tre Fiori
3-4-1-2Michele NardiG
Alex SirriD
Simone ReaD
A. D'AddarioD
Federico BenedettiniM
Matteo PrandelliF
Larne
3-5-2R. FergusonG
A. DonnellyD
S. McClellandD
Matt RidleyD
S. GrahamD
C. GallagherM
D. BentM
T. CosgroveD
M. LustyF
Player 82299F
Lineup-strength edge unavailable for this fixture.
Post-Match Deep Analytics
Two lifecycle groups: pre-match signals (available before kickoff) and per-player analytics that 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 an Engine Room feature →
Integrity Lock
This report's latest stage was generated at 2026-06-27T19:30:47.557Z and its canonical JSON hashed with SHA256 — locked at lineup confirmation. Each prior stage carries its own hash inside the corresponding tab so you can audit every step independently.
Model v4.56 · 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.