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Win Rate Versus ROI: Why They Are Not the Same
Win rate counts how often graded decisions win. ROI measures net profit relative to risk. Because prices differ, a higher win rate does not automatically produce a better return.
Win rate ignores the price paid
A win at -200 and a win at +200 both count as one win, but their unit returns are very different. Win percentage alone cannot show how much risk was required or how much profit the wins generated.
Pushes should be reported separately rather than silently counted as wins or losses. A clear record states the denominator used for win percentage.
ROI includes risk and return
ROI incorporates the odds and unit result of each graded pick through net profit and total risk. A lower win rate can be profitable at sufficiently positive average odds, while a high win rate can lose money when prices require too much risk.
Average odds help explain the relationship, but a per-pick ledger is stronger than an average because it preserves the actual distribution of prices and unit sizes.
Use multiple metrics together
A responsible record review considers graded pick count, wins, losses, pushes, net units, risk units, ROI, average odds, and the time period. CLV can provide separate market-comparison context when valid closing data exists.
None of these metrics alone proves repeatable skill. They describe different parts of the observed record.
Example: two records with different prices
Record A goes 6-4 on ten one-unit risks at -150. Each win earns about 0.67 units, so six wins earn about 4.00 units while four losses cost 4.00 units. The 60% win rate is approximately break-even before rounding.
Record B goes 4-6 at +200. Four wins earn 8.00 units and six losses cost 6.00 units, producing +2.00 units despite a 40% win rate. The example shows why price and ROI are necessary context.
Common mistakes
- Ranking records by win percentage without considering average odds.
- Treating a push as a loss to simplify the denominator.
- Comparing a small short-term record with a large all-time record.
- Assuming higher ROI automatically means lower risk or more consistent results.
Important limitations
- Average odds can hide a wide range of individual prices.
- ROI can be dominated by a few large positive-odds outcomes.
- Short periods can produce unstable win-rate and ROI estimates.
- Neither metric measures future certainty.
Frequently asked questions
What is a good win rate?
There is no universal answer because the break-even rate depends on the odds and grading rules.
Can two records have the same win rate but different ROI?
Yes. Different prices, unit sizes, and pushes can produce different net returns.
Should I ignore win rate?
No. Use it with ROI, net units, average odds, sample size, and the complete pick ledger.
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PickProof Learn content is for informational recordkeeping and analytics education. It does not place picks, accept funds, provide individualized advice, or guarantee performance. Odds, scores, grading, closing lines, and calculated metrics may be delayed, corrected, incomplete, or unavailable.