Betting ROI Calculator — Track Profitability & Win Rate
Calculate your sports betting ROI and track your long-term profitability. Enter your betting record to see win rate, return on investment, and key performance metrics.
Odds format
Saved for all betting calculators
Number of bets placed
Number of winning bets
Total amount wagered
Total winnings received (including returned stakes)
ROI
+5.00%
Return on Investment
Total Profit / Loss
+$50.00
Win Rate
55.00%
Implied Avg Odds
-110
Average Stake
$10.00
Avg Profit / Bet
+$0.50
Avg Return / Bet
$10.50
* ROI is shown as a flat line based on your current stats. Track your results over time to see the actual trend.
You are profitable at 5.00% ROI. Every $100 staked has returned $105.00 on average. Keep tracking to confirm this edge is real and not variance.
Last reviewed · How we check our calculators
How it differs: this calculator measures the return on a betting record, everything staked against everything won. For the return on a single investment or trade, use the ROI Calculator.
How to Use the Betting ROI Calculator
Enter four numbers from your betting records: total bets placed, total winning bets, total amount staked (the sum of every wager), and total returned (the sum of all payouts received, including your returned stake on winning bets). Your performance breakdown updates as you type.
The primary result is your ROI percentage — displayed in green if positive and red if negative. A positive ROI means you have returned more money than you staked over this sample. You also see your win rate, average stake per bet, average profit per bet, and the implied average odds you have been betting at.
For meaningful results, you need a large enough sample. ROI calculated from 20 bets is almost entirely variance. Aim for at least 200–500 bets before drawing conclusions about whether your results reflect genuine skill or luck.
The Formula
All metrics are calculated from four aggregate inputs:
- Total Profit: P = Total Returned − Total Staked
- ROI: ROI = (P ÷ Total Staked) × 100
- Win Rate: W = (Wins ÷ Total Bets) × 100
- Average Stake: avg_stake = Total Staked ÷ Total Bets
- Average Profit Per Bet: avg_profit = P ÷ Total Bets
- Implied Average Odds: avg_odds = (1 + ROI/100) ÷ (Win Rate/100)
The implied average odds figure is derived from your win rate and ROI together. It represents the average odds you would need to have been betting at to produce your observed ROI given your win rate, shown in the format you pick with the Odds format switch. Compare this to what you actually bet at to check for data entry errors or identify whether your results are driven by odds selection, win rate, or both.
Note that this calculator uses aggregate data only. Individual bet tracking (amount, odds, result per bet) provides far more analytical power — you can segment by sport, league, bet type, and time period. Aggregate ROI is the starting point for performance analysis, not the end point.
Practical Examples
Example 1 — Typical Recreational Bettor
Over a football season a bettor places 200 bets, mostly at −110 (1.909 decimal odds). They win 95 bets and lose 105. Total staked: $2,000. Total returned: 95 wins × $10 stake × 1.909 = $1,813.55.
- Total profit: −$186.45
- ROI: −9.3%
- Win rate: 47.5%
- Break-even win rate at 1.909 odds: 52.4%
The bettor won nearly half their bets but still lost money because −110 odds require a 52.4% win rate to break even. Their 47.5% win rate is 4.9 points below the threshold — a common outcome for recreational bettors paying the full sportsbook vig.
Example 2 — Sharp Bettor with Positive ROI
A professional bettor places 1,000 bets over six months, averaging $100 per bet. Total staked: $100,000. Total returned: $103,500. Win rate: 54%.
- Total profit: +$3,500
- ROI: +3.5%
- Average profit per bet: +$3.50
- Implied average odds: (1 + 0.035) / 0.54 ≈ 1.917
A 3.5% ROI over 1,000 bets is statistically significant and represents a genuine edge. At $100 average stake, this generates $3,500 profit per 1,000 bets placed. Scaled to $1,000 average stake, the same edge yields $35,000 — illustrating why bankroll size and bet sizing are critical to monetizing a genuine edge.
Example 3 — Identifying Variance vs Skill
Two bettors each show +5% ROI after 50 bets. One has a 60% win rate at low odds (1.83); the other has a 40% win rate at higher odds (2.625). Both look identical in ROI. However, the high-odds bettor's results are far more volatile — 50 bets at 40% win rate have a much wider confidence interval. Neither result is statistically meaningful at 50 bets. After 500 bets, the picture becomes much clearer.
Frequently Asked Questions
Most recreational bettors have a negative ROI of −5% to −10%, reflecting the sportsbook's vig. Breaking even is already better than average. A consistent +2% to +5% ROI over 1,000+ bets is considered strong and represents a genuine edge. Professional bettors typically target +3% to +8% ROI, understanding that higher ROI usually means lower volume or niche markets. ROI above +10% is exceptional and difficult to sustain at meaningful stake sizes because bookmakers will limit or close accounts.
As a rough guide, you need at least 500 bets to start drawing conclusions, and 1,000+ bets for reasonable confidence. With 100 bets, even a truly skilled bettor can show negative ROI purely from variance, and a lucky recreational bettor can show +20% ROI. The standard error of a betting ROI estimate decreases with the square root of sample size. With 500 bets at ~50% win rate, the 95% confidence interval for your 'true' ROI is approximately ±4–6 percentage points around your observed ROI.
In most betting contexts, ROI and yield are used interchangeably to mean (profit / total staked) × 100. Some analysts distinguish between them when varying stake sizes are involved: yield uses total turnover (sum of all stakes) in the denominator, while ROI sometimes refers to return on bankroll rather than return on total turnover. When tracking your own performance, use total turnover (all stakes summed) as the denominator for the most useful comparison across different time periods and stake levels.
Yes, always segment your ROI. Aggregate ROI hides crucial information. You might have +10% ROI on Premier League games but −8% ROI on NFL — aggregated, these cancel to something that looks mediocre but masks a strong edge in one area. Similarly, you might be profitable on totals and losing on spreads. The goal of tracking is to identify where your edge actually lies so you can increase volume on profitable segments and reduce or eliminate losing segments. Most serious bettors use a spreadsheet or dedicated tracking software to record sport, league, bet type, odds, and result for every bet.
Yes. Enter the total staked across all bets regardless of individual stake size — the aggregate ROI calculation remains valid. However, be aware that varying stake sizes can distort some derived metrics like implied average odds. If you use a staking system like Kelly Criterion (where stakes vary based on perceived edge), your ROI on total turnover is the correct metric. Your ROI per bet unit (as if all bets were $1) would give a different and potentially misleading picture.
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