SPX Quant Engine · Match Research Note · #1202379


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Match Analysis
Timeline, stats, lineups, player ratings and AI insights — live during the match.
SPX xG
ⓘLineup Analysis
TuS Koblenz
4-1-3-2Player 178442G
Player 482587D
Player 109705D
Player 90982D
Player 334152D
Player 428915M
Player 482588M
Player 200200M
Player 427424M
Player 482589F
Player 25814F
VfL Wolfsburg
3-4-2-1K. GrabaraG
C. ZesigerD
S. BornauwD
M. LacroixD
J. KamińskiM
Y. GerhardtM
M. SvanbergM
R. BakuM
P. WimmerF
L. MajerF
J. WindF
VfL Wolfsburg 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 2026-06-09T02:36:46.517Z 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.