What does a -2.2% edge mean?

A negative edge of -2.2% means the price (+162) is worse than fair value (+168). You can still win, but the long-run math is against you.

Does a positive edge mean the bet is likely to win?

No. The market still implies about a 38.2% chance this hits at the offered odds. A +EV bet pays more than its true probability warrants — most +EV bets at long odds still lose individually.

How are fair odds calculated?

Sportsbook prices on the same market are de-vigged and averaged to estimate a true win probability. Using the available market price, we estimate 37.3%, which converts to fair odds of +168.

Why does this grade differ from the sportsbook's advertised lift?

Books quote lifts vs their own original line, which already includes margin. We compare the price to a vig-free consensus, so an advertised lift can still grade poorly if the underlying line was inflated.

Should I bet every bet that grades well?

Grading is a price-quality signal, not a guarantee. Even a B-grade bet can lose. Size within your bankroll, account for correlation, and don't chase results.

Cristina Bucsa vs Polina Kudermetova - Set 1 Winner — B Grade — Modest Edge Play (52/100)

All analyses

AiOddsLab

Bet365

Better Off PassingBalancedB

Price or risk doesn't justify it

Cristina Bucsa vs Polina Kudermetova - Set 1 Winner

Nothing to anchor a fair price against. Not a knock on your read — just an honest "we don't know."

Stake idea · Balanced

0.5u · Half

Reasonable spot — half a unit keeps it fun.

Your odds

+162

Fair odds

+168

Edge

—

Settle the debate

One brand · 3 sizes

Save as image

Send link

Inside angles

Researching…

Pulling weather, lineups, head-to-head, and schedule spots…

Angles are surfaced only when backed by a specific fact. Verify lineups and weather close to game time.

AI breakdown

Verdict: This single-leg bet on Cristina Bucsa to win Set 1 offers a good offered price for a potentially even matchup.

Value: the matchup no consensus market to compare against, so the value here is in finding your own edge at this offered price.
Market context: At +162, this price implies about a 38% chance of Cristina Bucsa winning Set 1.
Status: the matchup no notable injury signal for this matchup.
Social: Reddit doesn't provide significant insight into this match.
Risk: As a single-leg bet, your risk is tied directly to the outcome of Set 1.

Smart insight: The outcome of this bet hinges entirely on Cristina the matchup performance in the first set, making early match form crucial. Similar profile: the matchup tennis moneyline bets on a specific set often have higher volatility compared to match-winner markets. Counter-case: the matchup a consensus market, it's harder to gauge if the offered price truly represents value or if it's fair. Live context: the matchup any last-minute news or line movement closer to match time.

Stake suggestion: the matchup stake.

How this bet was graded

Grade B · 52/100 · Better Off Passing

Cristina Bucsa vs Polina Kudermetova - Set 1 Winner at +162 on Bet365: we couldn't match this slip to enough comparable market prices to compute a trustworthy consensus fair value, so no edge % is shown — anything we'd print would just echo the book's own vig. The grade leans on price lift vs the original (+0.0%), leg count, and variance. Treat it as directional.

Frequently asked questions

Why isn't an edge % shown?

We couldn't match this slip to enough comparable market prices to compute a trustworthy fair value. Rather than show a number derived from the offered price itself (which would just echo the book's vig), we leave the edge unstated. The grade still reflects price lift vs the original, variance, and confidence.

Does the grade still mean something?

Yes. B (52/100) is built from the price lift, leg count, variance, and any verified context signals — it's directional. Treat it as a sanity check, not a precise EV figure.

Should I bet every A-grade ticket?

Grading is a price-quality signal, not a prediction. Even an B-grade ticket can lose. Size within your bankroll, account for correlation between legs, and use Inside Angles above to spot factors the price hasn't absorbed yet.