SPX Quant Engine · Match Research Note · #1490959
◆ SPX Quant Forecast
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Player Performance
final match ratingsGuabirá
Blooming
Official per-player match ratings from post-match data — descriptive, not a model output.
◆ Similar Matches
historical recordMatch Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
Guabirá
3-5-2Player 65739G
Player 70787D
Player 531459D
Player 307058D
Player 562683
Player 358688M
Player 543450
Player 65667M
S. GilM
Player 146664F
Player 65766F
Blooming
4-4-2Player 76757G
Player 354353D
Player 196037D
G. ValverdeD
Moisés VillarroelD
Player 354038M
Player 195123M
Player 51853M
Player 65613M
Player 65674F
Player 531417
Blooming named a modestly stronger XI than its recent baseline.
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.
Integrity Lock
This report's latest stage was generated at 2025-12-13T21:30:00.000Z 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.