What does a -2.2% edge mean?

A negative edge of -2.2% means the price (-125) is worse than fair value (-119). 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 55.6% 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 54.3%, which converts to fair odds of -119.

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.

Match Winner: Xinyu Wang — B Grade — Modest Edge Play (48/100)

All analyses

AiOddsLab

Bet365

Better Off PassingBalancedB

Price or risk doesn't justify it

Match Winner: Xinyu Wang

We'd rather tell you "we can't grade this" than fake a number. Pass, or stake it like entertainment.

Stake idea · Balanced

0.5u · Half

Reasonable spot — half a unit keeps it fun.

Your odds

-125

Fair odds

-119

Edge

—

Settle the debate

One brand · 3 sizes

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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 pick on Xinyu Wang to win the match is a straightforward moneyline play with a decent offered price.

Value: the matchup there's no direct market consensus to compare against, a price of -125 offers a nice return for a single-leg tennis match.
Market context: At -125, the sportsbook is implying Xinyu Wang has about a 55.6% chance of winning, which is a common range for competitive tennis matches.
Status: the matchup no notable injury signal for Xinyu Wang.
Social: the matchup data on social media to gauge public sentiment.
Risk: This is a single-leg bet, so the risk is directly tied to the outcome of this specific match.

Smart insight: The value of this bet hinges entirely on Xinyu the matchup performance on the day and whether their implied probability is accurate for this specific matchup. Similar profile: the matchup tennis moneyline bets at short odds are common and generally reflect a clear favorite in the market. Counter-case: The biggest challenge for any single-leg moneyline in tennis is the inherent variance of individual match performance. Live context: the matchup for any very late news or line movement before the match begins.

Stake suggestion: standard

How this bet was graded

Grade B · 48/100 · Better Off Passing

Match Winner: Xinyu Wang at -125 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 (48/100) 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.