All analysesVerdict: Better Off Passing. Rating 62 out of 100. Grade B.
Ai
AiOddsLab
FanDuel
62/ 100
Better Off PassingB
Price or risk doesn't justify it
Juan Soto to record a hit
Your price is worse than fair (-2.2% vs fair). Skip unless you have a strong independent read.
Your odds
-300
Fair odds
-275
Edge
-2.2%
Est. true win chance73.3%
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Ai
AiOddsLab
Fair Price conf.
FanDuel
62/ 100
Better Off PassingB
Juan Soto to record a hit
Your price is worse than fair (-2.2% vs fair). Skip unless you have a strong independent read.
Win probability — your price vs fair
-2.2% edge
Your odds imply75.0%
Fair line implies73.3%
$100 → your payout
$133
$100 → fair payout
$136
You give up
−$3
Your odds
-300
Fair odds
-275
Edge
-2.2%
Grade BConfidence Fair Price
Graded vs the book's own price. Fair value devigged from FanDuel's line — treat the edge as an estimate.
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AI breakdown
Verdict: This boost offers no discernible value over standard market pricing.
Value: The FanDuel boost to -300 for Juan Soto to record a hit presents no edge or ROI.
Market context: the matchup original or consensus odds, it's impossible to compare the boosted price to its fair market value.
Status: Juan Soto is active.
Social: the matchup is insufficient data to gauge social pulse on Reddit.
Risk: This is a single-leg bet, minimizing parlay variance, but the price is heavily juiced.
Smart insight: This bet's expected value is entirely dependent on the true underlying probability of Juan Soto getting a hit, which is not provided.
Similar profile: the matchup player prop boosts are often used to attract action rather than offer true value.
Counter-case: The lack of transparency on original odds and market consensus means the -300 could be a standard, un-boosted line.
Live context: the matchup lineups near tip-off.
Recommendation: Pass
How this bet was graded
Grade B · 62/100 · Better Off Passing
We graded Juan Soto to record a hit at -300 on FanDuel by comparing the offered price to a vig-free consensus of the wider market. The ticket centers on Juan Soto. The bet earned a B grade (62/100), which we label "Better Off Passing".
The headline number is edge versus fair: -2.22%. That figure is the long-run expected return per dollar staked, assuming the market consensus is an unbiased estimate of true probability. On a heavy favorite, a small percentage edge still matters because stake sizes are typically large. Because we couldn't fully match this market across other books, fair value here was derived from the host book's pre-boost line — treat the edge as directional rather than precise.
Fair odds calculation
Fair -275 · Implied 73.3%
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 73.3%, which converts to fair odds of -275.
Compared to the boosted price of -300 (a +0.0% move from the original line), that produces an edge of -2.22%. 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
Favorites (-400 to -150) · MLB · player_prop
Across AiOddsLab's database, we've scored 306 graded MLB bets, 13.0% hit rate on settled tickets, average edge of +356.89%, 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, 37 graded player_prop tickets, average edge of +0.00%, average rating 48/100. This is the closest apples-to-apples reference for the bet you're looking at.
In the trailing 90 days, 306 graded MLB bets, 13.0% hit rate on settled tickets, average edge of +356.89%, 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 -275. 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 (-300) and the fair price implied by the broader market (-275). 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 75.0% 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 73.3%, which converts to fair odds of -275. The boosted price of -300 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 boosted 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.