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Strategy Lab / signal-weighted

Signal Weighted Challenger

Experimental shortlist ranking that gives EV, calibrated probability, comparison score, and odds quality a more active role than the live production strategy.

Strategy Lab

Experimental strategy

This strategy family is tracked against the live TipSignal baseline, but it does not power the production picks, analytics, or bankroll pages. Use the lab to compare behavior, not to follow the picks in real betting.

Live config
optimizer-2026-04-13T23-17-31-241Z
Current challenger live version
Candidate
optimizer-2026-04-13T23-17-31-241Z
Latest challenger candidate version
Full ROI vs baseline
-3.32 pts
Current live challenger against current live baseline
Simulator edge
+11.4%
Challenger profit edge versus production, as a share of the starting stack
Current test thesis

What this challenger is trying to prove

Experimental shortlist ranking that gives EV, calibrated probability, comparison score, and odds quality a more active role than the live production strategy.

The key comparison is always this challenger's current live config versus the production baseline's current live config. Candidate promotion happens inside this challenger family only and does not affect the live site automatically. The challenger tabs below still expose legacy SAFE_ODDS and HIGH_ODDS snapshot views for research continuity; they are not the same thing as the newer strategy-engine modes.

Track outputs

Independent artifacts

  • Own live config, candidate config, and config history.
  • Own legacy SAFE_ODDS and HIGH_ODDS snapshot artifacts for side-by-side research.
  • Own simulator artifact with the same VOID, REVIEW, and daily staking logic as production.
  • Own optimizer reports and baseline comparison layer for the snapshot-era ranking pipeline.
Optimizer comparison

Current live challenger versus current live production

The cards below are optimizer-report comparisons in ROI points, hit rate, and drawdown. They are not the same thing as simulator bankroll profit, and they still belong to the legacy SAFE_ODDS/HIGH_ODDS ranking world rather than the newer official/hybrid/v2 strategy-mode layer.

Open optimizer track
recent
-3.29 pts
Baseline ROI-2.01%
Challenger ROI-5.30%
Hit-rate delta-4.61 pts
Drawdown delta+1.44u
medium
-3.32 pts
Baseline ROI-2.63%
Challenger ROI-5.96%
Hit-rate delta-4.62 pts
Drawdown delta+16.38u
full
-3.32 pts
Baseline ROI-2.63%
Challenger ROI-5.96%
Hit-rate delta-4.62 pts
Drawdown delta+16.38u
Simulator money comparison

Which track makes more bankroll money in the simulator

This comparison uses the simulator artifacts rather than the optimizer report. It is the cleaner view if your main question is simply which track has made more money since the optimizer-era start date.

Starting stack
Each strategy keeps its own bankroll. These cards scale to the same starting-stack setting used by the simulator page.
Baseline final bankroll
€6,844.92
Production bankroll from its own simulator track
Baseline profit
-€3,155.08
Production simulator profit
Challenger final bankroll
€7,988.17
Challenger bankroll from its own simulator track
Challenger profit
-€2,011.83
Challenger simulator profit