Is Your Betting Record Statistically Significant?

Every punter has hot streaks and cold streaks. The question that matters is: over your full sample, are your results genuinely better than expected — or just variance? This calculator answers that question using the same statistical test used in medical research and scientific studies.

How It Works

Enter your total bets, wins, and average decimal odds. The calculator compares your actual win rate against the expected win rate implied by the odds. If you bet at average odds of 1.90 (implied 52.6%), you need to win more than 52.6% of the time to be profitable. But how much more, and for how many bets, before we can say it is not just luck?

Understanding the Results

The z-score measures how many standard deviations your results are from expected. Higher is better. The p-value is the probability that your results could happen by pure chance. Lower is better — a p-value below 0.05 (5%) is the standard threshold for statistical significance, meaning there is less than a 5% chance your results are due to luck alone.

Why Sample Size Matters

Even genuinely profitable bettors need hundreds of bets before their edge becomes statistically significant. If you have a 3% edge (winning 55% when odds imply 52%), you typically need 500+ bets at similar odds before the result becomes conclusive. This is why tracking every bet with a betting tracker is essential.

The Harsh Truth

Most punters who think they have an edge are actually within normal variance. This calculator will tell you honestly whether your track record stands up to scrutiny — or whether you need more data before drawing conclusions.