Hit Rate

Hit rate is the share of settled bets that won, expressed as a percentage. Trackers and tipster services call the same ratio win rate or strike rate.

Hit rate = (winning bets / settled bets) × 100

Hit rate carries no profitability signal on its own. Every hit rate has a break-even threshold set by the prices it was bet at, and any comparison of hit rates without Average Odds is worthless.

70% of wagers at odds 1.30 — loses money
30% of wagers at odds 3.50 — makes money

The Break-Even Hit Rate

The break-even hit rate is the win frequency that returns exactly what was staked, no more and no less. It equals one divided by the average odds — the same conversion that turns any price into its implied probability.

Break-even hit rate = 1 / average odds

Average odds	Break-even hit rate
1.30	76.9%
1.50	66.7%
1.70	58.8%
1.90	52.6%
2.00	50.0%
2.50	40.0%
3.00	33.3%

60% at average 2.00 — clears break-even by 10 points
60% at average 1.50 — sits 6.7 points below break-even, a losing record despite the healthy rate
60% at average 1.70 — clears break-even by just over a point

American prices convert to decimal first:

−110 → 1 + 100 / 110 = 1.91, demanding 52.4%
−150 → 1 + 100 / 150 = 1.67, demanding 59.9%

Line shopping — taking the best available price on each bet — lifts the average odds of the whole record, and with it the edge, without changing a single pick.

Worked Example

100 bets of $100 each at a 53% hit rate, at two price levels:

At odds 1.90: 53 wins × $90 profit = $4,770
              47 losses × $100 loss   = −$4,700
              Net = +$70 on $10,000 → +0.7% ROI

At odds 1.70: 53 wins × $70 profit = $3,710
              47 losses × $100 loss   = −$4,700
              Net = −$990 on $10,000 → −9.9% ROI

Hit Rate by Bet Type and Market

The bets themselves set the natural win rate. That rate is the implied probability of the price, 1 divided by the decimal odds:

a 1.30 favorite carries 76.9%
a 2.00 side carries 50%
a 4.00 longshot carries 25%

An accumulator stretches the count. Five independent legs at 2.00 carry 0.5 to the fifth, about a 3% hit rate, and every added leg multiplies the probability down. When the market prices efficiently, the observed rate settles near these implied figures.

The Variance Problem

A high hit rate produces a smooth, steady profit path; a low one produces a choppy one that tests discipline. The reason is variance: the standard deviation of returns scales with the price.

For a bet at decimal odds d with win probability p, the variance of a single unit result is p(1−p)·d².

At odds 1.70 with a 65% true win rate: expected profit 10.5% per unit, standard deviation about 0.81 units
At odds 4.40 with a 25% true win rate: the same expected profit, standard deviation 1.91 units, more than twice the swing

Streaks follow naturally. A bettor with a 60% hit rate sees a streak of four or more consecutive losses about once or twice per 100 settled bets, and the longest losing run usually comes in at four or five.

A 40% hit rate bettor over 300 settled bets faces a longest losing streak near ten. A drought that long looks like the process broke; at a 40% win rate it is the expected behavior.

Stake-Weighted Hit Rate

Trackers that weight each bet by its stake rather than counting each as one unit shift the focus from win frequency to where the money goes. The stake-weighted hit rate divides total stake placed on winning bets by total stake across all bets — the share of money that won, not the share of bets that won.

Simple hit rate = 5 wins / 10 bets = 50%
Stake-weighted hit rate = $260 / $600 = 43.3%

Ten bets at uniform odds: five of $20 and five of $100. Three of the small bets win and two of the large ones, five winners overall. The simple hit rate reads 50%, but the stake-weighted rate is 43.3% because more money sat on the losing tickets: $340 rode on losers against $260 on winners.

The gap between the two figures is itself informative; a wide divergence means stake sizing, not selection, drove the results. Trackers that report only the simple rate can hide a record where most of the money lost while the win count looked healthy.

Hit Rate, ROI, and Yield

ROI and Yield translate win rate and prices into the bottom line. The two formulas read the same record from slightly different denominators:

ROI = (net profit / total staked) × 100
Yield = (net profit / total turnover) × 100

Under even-stake betting the distinction is academic, because the two denominators match. They diverge when stakes vary or voids enter the picture, the same way hit rate and stake-weighted hit rate part ways.

A high hit rate with a low ROI points at short-priced favorites held close to break-even
A low hit rate with a high ROI points at long shots where rare wins carry the profit

Statistical Significance

Hit rate converges toward the true win rate as the sample grows, but slowly — the standard error of a proportion is √(p(1−p)/n).

At a 50% true rate:

100 bets give a standard error of 5 points
1,000 bets give 1.6 points
10,000 give 0.5 points

A 53% observed rate over 100 bets is well within noise; the same over 10,000 bets is almost certainly real.

The standard error peaks at 50%, where p(1−p) is largest, and narrows toward the extremes, so a 70% rate on favorites carries a tighter band than a 50% one. The practical signal is unchanged: sample size decides whether any observed rate means anything.

A tipster advertising a 65% hit rate over 30 bets offers noise: the standard error is close to nine points, and the plausible true rate at two standard errors runs from under 50% to over 80%.

What Hit Rate Cannot Tell You

Hit rate measures outcomes, never prices. It cannot tell whether the winners were bought at value and the losers at bad prices, and that gap is where records are won and lost. Two bettors can cash the same share of bets while one takes every winner a step above break-even and the other a step below it.

CLV and EV judge the price side instead. CLV compares each bet with the market’s final line, EV with your own probability estimate, and both answer the question hit rate never reaches: was the bet any good?

Push and Void Handling

Pushes and voided bets are excluded from hit rate in well-designed trackers: a push returns the stake and carries no information about selection skill. Trackers that count pushes as losses or wins distort the rate. Before comparing hit rates between services, check how each treats pushes — Return on Investment stays reliable under either convention, hit rate does not.

Hit Rate in Trackers

The same ratio runs under two labels: some trackers call it hit rate, others win rate. It sits on nearly every tracker dashboard, and the grouping decides what the number tells a bettor:

Bettin.gs — hit rate per tipster, the number that separates the tipster earning their cut from the one eating the bankroll
Betdiary — hit rate per period, next to turnover, ROI, and net profit
Betty — win rate and accuracy per league and bet type
Pikkit — win rate with splits down to league, team, and player
BettingTracker — win rate on the main dashboard next to ROI
Bet Analytix — hit rate among the analytics set
Bet Metrics Lab — win rate per staking strategy in the simulator

The grouping changes the question a hit rate answers — per tipster, per market, per strategy — while the break-even rule stays the same: read any of these numbers against the average odds behind it.

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