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Research preview

Model Lab

Baseline vs challenger paper-trading. Every variant is evaluated on the exact same auto-logged fixtures as the live track record — only the filter rule (which picks to take) and staking rule change. No money is attached; this is how a quant desk evolves a model in public.

Universe (12 months)
324
195 settled
Baseline ROI (staked)
-3.46%
Baseline (live) · 127W · 68L · 65.1% win
Leading challenger
Favourites only
-0.71% ROI · 166 settled
Baseline Brier
0.2112
Lower = better calibrated
Snapshot generated 8/20/2026, 5:49:07 AM12 variants tracked · click any card for detail

Variants

· 12 models · same fixtures

Cumulative profit (staked units)

· Same fixtures · different rules
Baseline (live) is the model actually running on the track record today — every auto-logged pick at its recommended stake, no extra filter. Every other line replays the exact same fixtures with one rule changed, so any gap is caused by the rule, not by luckier bets. Baseline leads on total units because it takes the most bets; the filtered variants have far higher ROI on a much smaller sample.

Side-by-side metrics

VariantPicksSettledW–LWin%Flat ROIStaked ROI+/− unitsAvg edgeCLVBrier
Baseline (live)
3241951276865.1%-4.81%-3.46%-16.51u-1.61pp-1.61pp0.2112
Baseline · edge ≥ 3pp
11010.0%-100.00%-100.00%-1.11u+3.23pp+3.23pp0.3120
Baseline · edge ≥ 7pp
0000+0.00u+0.00pp
Baseline · half stake
3241951276865.1%-4.81%-3.46%-8.25u-1.61pp-1.61pp0.2112
Baseline · ≥ 4 books
2721951276865.1%-4.81%-3.46%-16.51u-1.47pp-1.47pp0.2112
Edge ≥ 5pp
0000+0.00u+0.00pp
Market-shrunk
11010.0%-100.00%-100.00%-1.00u+2.26pp+3.23pp0.3013
Market-shrunk · light
441325.0%-58.25%-58.25%-2.33u+2.41pp+2.68pp0.3790
Favourites only
2691661165069.9%-0.71%-0.71%-1.18u-1.78pp-1.78pp0.2037
Value underdogs
0000+0.00u+0.00pp
Calibrated (Platt-lite)
21010.0%-100.00%-100.00%-1.00u+2.36pp+1.99pp0.3023
Calibrated · strong shrink
41010.0%-100.00%-100.00%-1.00u+2.72pp+0.13pp0.1877

Methodology

· How a variant gets promoted

Every variant is scored on the same auto-logged picks the live baseline model sees. Variants only differ in their filter rule (which picks they take) and staking rule. Outcomes (won / lost / void) come from the same reconciled results — no rewriting history.

  • Baseline is whatever you see on the public track record today (recommended stake, no filter).
  • Challenger variants paper-trade alongside. No money is attached.
  • A challenger is promoted to baseline only when it beats the live model on staked ROI over ≥100 settled picks with positive CLV. Single-week noise doesn't move the needle.
  • Brier score is computed on each variant's emitted probability (calibrated/shrunk variants use the transformed prob), so calibration improvements show up directly.

Research only. Past simulated performance is not indicative of future results.

Monte Carlo simulator

· Stress-test any model: ours or yours

Runs thousands of simulated betting seasons against the inputs below to show the full distribution of outcomes — not just the average. Use it to see how often a model bankrupts, what a realistic worst-case looks like, and whether the median path is actually profitable. Upload your own picks as CSV to bootstrap from real history instead of assumed parameters.

Bring your own model (optional)

CSV with columns edge_pct, odds, stake (header optional, stake optional). When uploaded, the simulator samples real picks instead of using the edge% / odds inputs below. Staking rule from inputs is used when stake is 0 or missing.

Expected EV per bet
Decimal (1.91 = -110)
Starting balance
Bets per simulated season
% of starting bankroll
Simulated seasons
Set your inputs (or upload a CSV) and hit Run simulation to see the distribution of outcomes.
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