Per-game context for today: candidate density, included selections, and edge concentration by matchup.
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How To Read This
Flow: candidate bets are generated from profitable historical profiles, then collapsed into executable tickets
(straight/parlay/round robin), then stake-optimized for each mode.
Math: `mu_per_1u = (win_prob_adj * profit_if_win_per_1u) - (1 - win_prob_adj)`.
`Exp ROI` shown per ticket is expected return on stake.
Today Tickets (Selected Mode)
Auto-saved daily by pipeline
Manual save controls hidden (autosave enabled).
Type
Tickets
Included
Total Stake (u)
Avg Exp ROI
Bet Description
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Today vs Historical Baseline
Bucket
Historical
Today Included
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Saved Tickets (Today / Mode)
ID
Type
Stake
Status
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Candidate Diagnostics (Detailed)
This shows each candidate pick, the market odds vs fair odds ("should be"), and why it was or was not selected for the final slip.