BANKROLL · ANALYSIS
—net
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Loading ledger…
Most staked
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by dollars staked
Heaviest team
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by slips
Worst league
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net
Worst band
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priced ROI
01
The Read
the verdict first — evidence below · segments overlap; the cluster module quantifies it
02
The Curve
real ledger · settled bets by date placed · coral shading = underwater vs prior peak
EQUITY · CUMULATIVE NET
ACTUAL
WITHOUT PP 4-PICKS
REAL DATA — bankroll_equity_daily.csv
03
Who You Ride
SORT
who you back, ranked by exposure · tape = leg-isolated W–L; ALLOC P/L = each slip’s net split across its players
04
Habit Loops
the pairs you keep stacking vs the legs that actually hit · pair net attributed whole; don't sum
05
Price Discipline
actual hit rate (fill) vs implied by the price taken (marker) · fill short of the marker = you overpaid
06
Where It Concentrates
tile size = slip volume · color = net · current-team basis
07
Structural Cuts
the same loss through three lenses · overlap % = share of the row's loss dollars inside the primary cluster (01)
08
The Tape
the receipts — biggest single slips both ways
Exposure & breakdowns from the analysis contract — bankroll_analysis_builder.py.
Census authoritative for net/slips; legs decorate. Toggle DATA (top-right) for the full source list + live row counts.