Diagnostic pain

Are You Running Bad — or Playing Bad?

There is no honest switch that labels a downswing 'variance' or 'bad play'. The useful move is to inspect repeating decisions with a sample that can support a conclusion.

What the symptom may mean

A candidate area worth inspecting.

What it does not prove

A single number is not a verified leak.

What to check next

Sample strength, then the hands behind the stat.

Diagnostic map:

Why your results can't answer the question alone

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All-in EV doesn't measure every decision

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How sample size changes confidence

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What variance can explain

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What variance cannot explain

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Look at decisions instead of only outcomes

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Find repeating mistakes across the downswing

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How to separate bad results from bad patterns

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Questions

Can all-in EV tell me if I am a winning player?
All-in EV is one noisy signal. It does not measure the many decisions that never go all-in, and it is still sample-dependent.
Do you detect variance automatically?
No. Short-term results are uncertain. The product looks for repeating decision patterns and will say when the evidence is insufficient.

Investigate the database, not just the graph.

Use the database you already built. Post-session analysis only.

Analyze my decisions