All analyses
Verdict: Better Off Passing. Rating 37 out of 100. Grade F.
Ai
AiOddsLab
Bet365
Better Off PassingBalancedF

Price or risk doesn't justify it

Tommy's Two On Target

Not enough confirmed value to recommend — skip unless this is a tiny entertainment play.

Stake idea · Balanced
0.1u · Lottery
Long shot energy — small stake, big screenshot if it hits.
Your odds
+550
Fair odds
+622
Edge
Price bump+8%
Ai

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AI breakdown

Verdict: This bet puts the spotlight on the matchup attacking prowess with some exciting individual player props!

  • Value: The offered price of +550 is slightly lower than the estimated fair odds of +622, resulting in a negative EV of -9.97%.
  • Market context: The sportsbook is offering a price that's a small step up from their original +500, but it still falls short of the calculated fair value.
  • Status: No notable injury signals for the players involved.
  • Social: the matchup data to gauge social sentiment for this specific parlay.
  • Risk: 3-leg parlay variance. With 3 independent conditions required, hit rate compounds quickly and one miss voids the ticket. No verifiable correlation signal from the inputs provided.

Smart insight: Harry the matchup ability to consistently register shots on target will be a major factor in driving this bet's potential. Similar profile: This is a 3-leg SGP featuring team and player shot props in soccer, which are often priced tightly against estimated fair odds. Counter-case: The juiced nature of the parlay, where the offered price is below the fair odds, works against profitability here. Live context: the matchup lineups near tip-off.

Stake suggestion: the matchup stake.

How this bet was graded

Grade F · 37/100 · Better Off Passing

We graded Tommy's Two On Target at +550 on Bet365 — a 3-leg ticket by comparing the offered price to a vig-free consensus of the wider market. The ticket centers on England, Harry Kane, Bukayo Saka. The bet earned a F grade (37/100), which we label "Better Off Passing".

The headline number is edge versus fair: -9.97%. That figure is the long-run expected return per dollar staked, assuming the market consensus is an unbiased estimate of true probability. At odds this long, even a strongly positive edge cashes infrequently — single-bet variance dominates short samples. Because we couldn't fully match this market across other books, fair value here was derived from the host book's own posted line — treat the edge as directional rather than precise.

Fair odds calculation

Fair +622 · Implied 13.9%

Fair odds represent the price you'd see in a perfectly efficient, zero-margin market. To compute them we pull current prices from the available sportsbooks on the same market, strip out each book's vig, and average the resulting no-vig probabilities. The averaged probability for this outcome lands at 13.9%, which converts to fair odds of +622.

Compared to the offered price of +550 (a +8.3% move from the original line), that produces an edge of -9.97%. In plain English: if the market is right about the true probability, you'd expect to lose about 10.0 cents on every dollar staked, on average, across many bets of this exact shape.

Historical context

Big dogs (+500 to +1500) · Soccer · parlay

Across AiOddsLab's database, we've scored 1,000 graded Soccer bets, average edge of +9.17%, average rating 48/100.

Narrowing to the same market type, 447 graded parlay tickets, average edge of +15.60%, average rating 47/100. This is the closest apples-to-apples reference for the bet you're looking at.

Filtering by odds range alone (big dogs (+500 to +1500)), 215 graded tickets, average edge of +2.79%, average rating 44/100.

In the trailing 90 days, 1,000 graded Soccer bets, average edge of +9.17%, average rating 48/100. Compare that to the all-time baseline above to see whether grading and outcomes have drifted recently.

Stats update as new tickets are analyzed and graded. Sample sizes below 5 are suppressed.

Why the market disagrees

The wider market is pricing this outcome tighter than Bet365's line suggests is reasonable. With an edge of -10.0%, you're paying a premium versus the consensus fair price of +622. The bet can still win — odds are not destiny — but the price embeds a built-in disadvantage that compounds across repeated wagers. Shopping the same market at a sharper book, or waiting for the line to move, is usually the correct response.

Frequently asked questions

What does a -10.0% edge mean?

Edge measures the gap between the price you're getting (+550) and the fair price implied by the broader market (+622). A negative edge of -10.0% means the price is worse than fair value. You can still win the bet, but the long-run math is against you.

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

No. Edge and win probability are different things. The market still implies roughly a 15.4% chance this hits at the offered odds. A +EV bet is one that pays more than its true probability warrants — most +EV bets at long odds still lose individually. The edge only shows up across many similar wagers.

How are fair odds calculated?

Fair odds are derived by taking sportsbook prices on the same market, removing the bookmaker's vig (the built-in margin), and averaging the resulting no-vig probabilities. For this bet we used the available market price to estimate a true win probability of 13.9%, which converts to fair odds of +622. The offered price of +550 is then compared against that fair line to compute edge.

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

Sportsbooks usually advertise the percentage lift over their own original price, which they set with house margin built in. Our grade compares the offered price to a vig-free market consensus, so a "+50%" advertised lift can still grade poorly if the original line was already inflated, and a small lift can grade well if it pushes a fair price into +EV territory.

Should I bet every bet that grades well?

Grading is a price-quality signal, not a guarantee. Even an F-grade bet can lose, and you should size stakes within your bankroll, account for correlation between legs, and consider your own information about the matchup. This tool helps you avoid bad prices — it doesn't replace judgment or responsible bankroll management.