All analyses
Verdict: Better Off Passing. Rating 54 out of 100. Grade B.
Ai
AiOddsLab
FanDuel
Better Off PassingB

Price or risk doesn't justify it

Shohei Ohtani - Home Runs Over 0.5

Your price is worse than fair (-2.1% vs fair). Skip unless you have a strong independent read.

Your odds
+270
Fair odds
+278
Edge
-2.1%
Est. true win chance26.5%
Ai

Settle the debate

Save as image
Send link

AI breakdown

Verdict: A standalone single-leg "Shohei Ohtani to hit a Home the matchup" boost at +270 presents a neutral value with no market comparison.

  • Value: With unknown original odds and no consensus, the quantitative edge is undefined, indicating neutral value.
  • Market context: the matchup are no alternative market odds provided for comparison, making a direct market context assessment impossible.
  • Status: the matchup is no notable injury signal for any player.
  • Social: the matchup social data available to gauge public sentiment.
  • Risk: This is a single-leg prop bet, which inherently carries less multi-leg parlay variance but still depends on a specific high-volatility event.

Smart insight: This bet's expected value is extremely sensitive to Shohei the matchup actual probability of hitting a home run, which can fluctuate with pitcher matchups and ballparks. Similar profile: This is a single-leg player prop for a highly impactful but infrequent outcome (home run), often priced with significant variance across books. Counter-case: The lack of any original odds or market consensus makes it impossible to determine if this boosted price represents a true edge or merely a sportsbook offering. Live context: the matchup lineups near tip-off.

  • Recommendation: Pass

How this bet was graded

Grade B · 54/100 · Better Off Passing

We graded Shohei Ohtani - Home Runs Over 0.5 at +270 on FanDuel by comparing the offered price to a vig-free consensus of the wider market. The ticket centers on Shohei Ohtani. The bet earned a B grade (54/100), which we label "Better Off Passing".

The headline number is edge versus fair: -2.12%. That figure is the long-run expected return per dollar staked, assuming the market consensus is an unbiased estimate of true probability. 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 +278 · Implied 26.5%

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 26.5%, which converts to fair odds of +278.

Compared to the offered price of +270 (a +0.0% move from the original line), that produces an edge of -2.12%. In plain English: if the market is right about the true probability, you'd expect to lose about 2.1 cents on every dollar staked, on average, across many bets of this exact shape.

Historical context

Midrange dogs (+200 to +500) · MLB · player_prop

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, 52 graded player_prop tickets, average edge of +0.00%, average rating 50/100. This is the closest apples-to-apples reference for the bet you're looking at.

Filtering by odds range alone (midrange dogs (+200 to +500)), 66 graded tickets, average edge of +24.45%, average rating 50/100.

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 -2.1%, you're paying a premium versus the consensus fair price of +278. 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 -2.1% edge mean?

Edge measures the gap between the price you're getting (+270) and the fair price implied by the broader market (+278). A negative edge of -2.1% 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 27.0% 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 26.5%, which converts to fair odds of +278. The offered price of +270 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 B-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.