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Measure profit, ROI, yield, and hit rate to see how your betting approach performed over the sample entered.
Enter the total amount staked and the total return received to calculate the ROI of your bets. A simple way to understand performance, compare strategies, and avoid guesswork.
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The betting ROI calculator shows how much a strategy returned relative to the total amount staked. In plain terms: it answers whether, after all the entries in the period, you ended up above or below what you invested.
ROI in betting is the percentage of return obtained on the total amount staked. It measures financial results, not just hit rate.
ROI = ((Total return - Total staked) ÷ Total staked) × 100Imagine you placed 20 bets on football matches, with $50 on each one. The total staked was $1,000. At the end of the period, your winning bets returned $1,120 in total.
| Metric | Value |
|---|---|
| Total staked | $1.000 |
| Total return | $1.120 |
| Profit | $120 |
| ROI | 12% |
That doesn't mean the next bet will win. It only means that, in that sample, the strategy had a positive return.
| Metric | What it measures | Common mistake |
|---|---|---|
| Accuracy rate | How many bets won | Thinking that hitting more always leads to profit |
| ROI/Yield | Return relative to the total amount staked | Ignoring the size of the odds |
| Absolute profit | How much money is left over | Comparing strategies with different bankrolls |
In betting, hitting many bets isn't enough. A strategy can have a high hit rate and poor ROI if the odds are too low. It can also have a lower hit rate and positive ROI when it gets better odds.
Shows a positive return for the sample entered. Compare the period and number of bets.
Shows a negative return for the sample entered. Compare more periods to investigate the pattern.
Strategy close to breakeven; the odds pricing may be tight.
Compare more bets and periods to assess how consistently the pattern appears.
More observations help you assess how consistently the result appears.
The calculator describes a set of bets, not an isolated bet. It allows you to compare periods, leagues, markets, or strategies.
Predora shows historical Return alongside sample size, hit rate, market, and league. Explore Performance and Return history to compare how the Active Model performed across different segments.
After measuring ROI and yield, compare that reading with probability, odds, EV, market, and base. Less guesswork, more data-driven analysis.
Explore Predora.siROI in betting is the percentage of financial return on the total amount staked in a sample.
In practice, both usually measure the percentage profit or loss on the total amount staked.
Compare the sample size, time period, odds, and staking assumptions. Review additional periods to assess how consistently the positive result appears.
It depends on the market, the odds, the volume, and the risk. The most important thing is to measure with a sufficient base and compare consistent samples.
Not necessarily. If the odds are too low, a high hit rate can still generate poor returns.
Yes, as long as you separate markets, leagues, and periods to avoid mixing samples with different risks.