All analyses
Verdict: Better Off Passing. Rating 39 out of 100. Grade F.
Ai
AiOddsLab
FanDuel
Better Off PassingF

Price or risk doesn't justify it

4 leg Parlay

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

Your odds
+18377
Fair odds
+18793
Edge
Ai

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AI breakdown

Verdict: This 4-leg home run parlay offers a slight negative expected value compared to fair odds.

  • Value: The boosted odds of +18377 are worse than the combined devigged fair odds of +18793, resulting in an EV of -2.20%.
  • Market context: The sportsbook is offering a less favorable price than the calculated fair odds.
  • Status: No notable injury signal.
  • Social: the matchup data on social media pulse for this specific boost.
  • Risk: This is a high-variance 4-leg parlay, with each leg being a longshot home run prop.

Smart insight: The probability of all four specific players hitting home runs is inherently low, making this boost extremely sensitive to even small discrepancies in individual leg probabilities. Similar profile: This is a very high-odds, 4-player home run parlay, a category of bet that typically resolves significantly below fair value due to compounded probabilities. Counter-case: The primary reason to fade is the negative expected value coupled with the extreme multi-leg parlay variance of home run props. Live context: the matchup lineups near tip-off.

Recommendation: Pass.

How this bet was graded

Grade F · 39/100 · Better Off Passing

We graded 4 leg Parlay at +18377 on FanDuel — a 4-leg ticket by comparing the offered price to a vig-free consensus of the wider market. The ticket centers on Cal Raleigh, Kyle Schwarber, Shohei Ohtani and others. The bet earned a F grade (39/100), which we label "Better Off Passing".

The headline number is edge versus fair: -2.20%. 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 +18793 · Implied 0.5%

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 0.5%, which converts to fair odds of +18793.

Compared to the offered price of +18377 (a +0.0% move from the original line), that produces an edge of -2.20%. In plain English: if the market is right about the true probability, you'd expect to lose about 2.2 cents on every dollar staked, on average, across many bets of this exact shape.

Historical context

Longshots (+1500 and up) · MLB · parlay

Across AiOddsLab's database, we've scored 337 graded MLB bets, 13.0% hit rate on settled tickets, average edge of +324.89%, average rating 47/100. That sample gives a baseline expectation for what a "fair" hit rate looks like in this sport — use it to sanity-check your own bankroll math.

Narrowing to the same market type, 179 graded parlay tickets, 0.0% hit rate on settled tickets, average edge of +579.93%, average rating 48/100. This is the closest apples-to-apples reference for the bet you're looking at.

Filtering by odds range alone (longshots (+1500 and up)), 146 graded tickets, 0.0% hit rate on settled tickets, average edge of +29.11%, average rating 45/100.

In the trailing 90 days, 337 graded MLB bets, 13.0% hit rate on settled tickets, average edge of +324.89%, average rating 47/100. 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 FanDuel's line suggests is reasonable. With an edge of -2.2%, you're paying a premium versus the consensus fair price of +18793. 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 -2.2% edge mean?

Edge measures the gap between the price you're getting (+18377) and the fair price implied by the broader market (+18793). A negative edge of -2.2% 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 0.5% 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 0.5%, which converts to fair odds of +18793. The offered price of +18377 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.