There is no single sportsbook that posts the best odds across every sport, market and state. What the public data shows instead is that pricing quality is driven less by brand and more by three measurable factors: how competitive a state’s licensing market is, which bet type is being priced, and whether an operator runs a “reduced juice” model. Based on 2025 regulator filings, the national sportsbook hold sits just above 10%, but that figure masks a wide spread between the tightest and loosest markets and bet types.
Key takeaways
- U.S. commercial sportsbooks held $16.96 billion of a $166.94 billion handle in 2025, an implied national hold just above 10%.
- Hold rate is a market-structure signal as much as an operator signal: competitive, multi-license states tend to produce tighter margins than thin, single- or dual-operator markets.
- The arithmetic gap between standard -110 pricing and reduced-juice -105 or -102 pricing is small per bet but compounds meaningfully over large bet volumes.
- Academic betting-market studies that track tens of thousands of settled lines find average built-in margins in the low single digits for liquid markets, rising sharply for props, futures and smaller fields.
- GamblScout’s algorithm treats “odds quality” as one scored input among several observable, scraped signals rather than a marketing claim taken at face value.
Table of contents
Why “best odds” is the wrong first question
Marketing copy routinely claims an operator offers “the best odds in the business.” That claim is almost never independently auditable on a per-bet basis, because sportsbooks reprice thousands of lines continuously and few publish historical odds feeds for outside verification. What is auditable is the aggregate outcome of that pricing: the hold rate, or gross gaming revenue divided by total handle, reported to state regulators every month. Hold is an imperfect proxy — it reflects customer behavior and parlay mix as well as pricing discipline — but it is the only figure that is both public and comparable across operators and states.
A second, academically grounded proxy is the overround: the amount by which the implied probabilities of all outcomes in a market exceed 100%.
Gamblers commonly use the overround to estimate a bookmaker’s profit margin, and this quantity has been used in various academic studies to proxy for bookmaker profitability, which is correct if each bet on a contest has the same expected return.
That caveat matters:
if bookmakers set higher profit margins for bets with lower probabilities of winning, an equal-weighted average of loss rates across available bets will be higher than the simple overround calculation predicts
. In plain terms, a sportsbook can look cheap on its headline moneyline while quietly extracting more margin on the longshot side of the same market.
Overround occurs when the sum of the implied probabilities for all possible event results is above 100%, whereas the vigorish is the bookmaker’s percentage profit on the total stakes made on the event.
That distinction is why two sportsbooks can post identical-looking odds yet carry different effective margins once settlement patterns are accounted for.
What the 2025 numbers show
U.S. commercial sports wagering revenue reached $16.96 billion in 2025, climbing 22.8%, on a total handle that rose 11% to $166.94 billion.
Dividing those two figures gives an implied national hold just above 10% — up from the prior year, when
total revenue from commercial sports betting operations across the United States was $13.78 billion, up 24.8 percent compared to the prior year
on a smaller handle base.
State-regulated sportsbooks generated $3.71 billion in taxes in 2025, up 32.4% year-over-year
, which tracks the revenue growth rather than the handle growth — a reminder that tax receipts rise fastest when hold rises, not simply when betting volume rises.
Company-level filings tell a related story. In its most recent quarterly report, DraftKings disclosed that
sportsbook handle increased by $1.0 billion, or 10.0%, to $11.4 billion in the three months ended September 30, 2025, from $10.4 billion in the same period of 2024
. In the same filing, the company reported that
sportsbook net revenue margin decreased by 1.1 percentage points, to 5.2% in the three months ended September 30, 2025, from 6.3% a year earlier, primarily driven by customer-friendly sports outcomes
. That single data point illustrates why quarter-to-quarter “which book has better odds” claims are unreliable: a large share of the variance in realized margin is driven by which side of games actually won, not by how the lines were set.
State-by-state hold reveals market structure
Because every state licenses a different number of operators, applies different tax rates, and allows different bet types, the hold rate an operator posts in one jurisdiction is not a clean read on its national pricing philosophy. States with more licensed mobile operators competing for the same bettor base generally see tighter effective pricing, since bettors can shop lines across apps before placing a bet. States with fewer licenses, higher tax rates that get passed through in product design, or heavier parlay and same-game-parlay promotion tend to show structurally higher hold, independent of any single operator’s intent. Our regional deep-dive coverage breaks down how licensing structure, tax rate and operator count interact across markets in more detail.
This is also why comparing a national sportsbook’s hold in a mature, competitive market like New Jersey to its hold in a newer, thinner market is close to meaningless without controlling for the state’s structure. A bettor evaluating “best odds” should therefore weight state-level competitive density at least as heavily as any single operator’s brand reputation.
The math of vig and reduced juice
Most point-spread and total markets in the U.S. are priced at -110 on both sides. A minority of operators and bet types use narrower “reduced juice” pricing. The break-even win rate required to profit at each price point follows directly from the implied-probability formula described in academic treatments of the overround:
| Odds | Risk to win $100 | Implied probability (one side) | Two-way overround | Break-even win rate |
|---|---|---|---|---|
| -110 | $110 | 52.38% | 4.76% | 52.38% |
| -108 | $108 | 51.92% | 3.85% | 51.92% |
| -105 | $105 | 51.22% | 2.44% | 51.22% |
| -102 | $102 | 50.50% | 1.00% | 50.50% |
The gap between -110 and -105 is a little over one percentage point of required win rate per bet. That looks trivial on a single wager but compounds across volume, which is precisely the mechanism bettors in our micro-betting coverage need to account for, since high-frequency, single-play wagering multiplies the number of times any given margin is paid.
Which operators actually run tighter margins
Peer-reviewed and working-paper research on bookmaker pricing gives a useful external benchmark, because academic datasets track odds across many thousands of settled games rather than a single promotional snapshot. One widely cited study of North American sports lines reported that
the average vig in its dataset was 1.93%, but is always positive, resulting in revenue for the sportsbook over a long run of games
, drawing on a sample where
valid betting lines existed for more than 99.3% of games across MLB, NBA, NFL and NHL during the sample period
. That is a meaningfully lower average margin than the typical -110 retail price, which reflects the fact the study pooled moneyline markets — where vig compresses as favorites get shorter — rather than evenly priced spread markets.
Tennis betting-market research shows the same pattern of variation by liquidity. A replication study of bookmaker pricing efficiency found
mean overround figures in the 5.7% to 6.2% range across different subsets of WTA matches
— wider than the headline NFL/NBA spread vig, consistent with the general rule that lower-liquidity markets carry higher built-in margin. This is the same dynamic that shows up in our pari-mutuel payout analysis, where takeout on thinner pools runs well above what bettors see on mainline team-sport markets.
The favorite-longshot bias hiding in plain sight
A sportsbook can advertise a low overround on its marquee moneyline while still extracting above-average margin from recreational bettors, because margin is rarely distributed evenly across a market. The academic literature on this point is explicit:
if bookmakers set higher profit margins for bets with lower probabilities of winning, as implied by the evidence on favorite-longshot bias, an equal-weighted average of loss rates across available bets will be higher than the simple overround-based estimate suggests
. Practically, this means a headline “lowest vig” claim about a moneyline favorite tells a bettor little about the price being charged on the underdog, on alternate lines, or on same-game parlays built from the same market.
Frequently asked questions
What is a sportsbook’s hold rate and why does it matter here?
Hold rate is gross gaming revenue divided by total handle, reported monthly to state regulators. It is a public, auditable figure, unlike individual odds quotes, which is why it functions as the best available proxy for average pricing aggressiveness across an operator’s full book, even though it also reflects customer bet mix and outcome variance.
Does a lower hold rate always mean better odds for bettors?
Generally, yes, but with caveats. Hold can fall in a given month simply because favorites covered more often than the market expected, not because pricing changed. Multi-month trends and state-level comparisons within the same competitive structure are more reliable than single-month snapshots.
Is it worth switching to a reduced-juice sportsbook?
For high-volume bettors, the compounding math favors tighter pricing: moving from -110 to -105 lowers the required break-even win rate by roughly 1.2 percentage points. For low-volume, promotion-driven bettors, bonus value can outweigh the per-bet pricing difference, so the answer depends on betting frequency.
Why do sportsbooks post different odds on the same game?
Operators balance liability differently, price in anticipated bet mix, and apply different vig structures by market type. Shopping lines across licensed books in the same state, rather than assuming any one operator is uniformly cheapest, is the only way to capture these differences.
Methodology
For odds-related scoring, GamblScout’s algorithm ingests scraped line snapshots across licensed operators, cross-references them against publicly reported monthly hold and handle data, and weights price competitiveness alongside market depth and line-update frequency rather than relying on self-reported marketing claims. The underlying scoring weights and scraping approach are documented in our scoring system and algorithmic weights hub and our data scraping and technical engine hub. Full category coverage, including other odds and market-specific breakdowns, is available on the Sportsbook & Odds Analysis hub.
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