NBA preseason, typically running from early to mid-October, presents a fundamentally different betting challenge than the regular season. Rotations are unpredictable by design — coaches use these games to evaluate roster fringe players, test experimental lineups, and manage veteran minutes. Star players frequently sit entire halves or don't dress at all, and minutes restrictions can shift dramatically from one game to the next without public announcement. This makes preseason one of the most volatile betting markets in professional sports. The scoring patterns and pace of play can swing wildly depending on which unit is on the floor, and the competitive intensity varies game to game as teams prioritize development over wins.
Vig on NBA preseason lines tends to run noticeably wider than during the regular season. Sportsbooks face the same uncertainty bettors do — limited information on rotations, untested roster combinations, and coaching strategies that prioritize evaluation over outcomes. Books compensate for this added risk by building in larger margins, particularly on totals and spreads where minute distributions have an outsized effect. Moneyline markets on perceived mismatches may carry tighter juice, but across the board, bettors should expect to pay more for preseason action than they would once the regular season tips off.
The sharpest edges in preseason betting often come from information asymmetry: tracking coach press conferences, injury reports, and beat reporter updates about expected rotations can provide a meaningful advantage. Home-court advantage is significantly diminished, as many preseason games are played at neutral sites or smaller arenas, and teams show little urgency about protecting home floor. The most competitive lines typically appear later in the preseason schedule, when rotations begin to stabilize and books have more data to work with. Early-schedule games, where rosters are still being trimmed and minutes are most experimental, tend to carry the widest margins and the least predictable outcomes.
Analysis updated September 6, 2026. Odds data above refreshes hourly.
Miami Heat @ Toronto Raptors
Best moneyline price: Toronto Raptors +102 at betPARX; Miami Heat -115 at Pinnacle.
| Side | Market | Best Line | Worst |
|---|---|---|---|
| Toronto Raptors | Moneyline | betPARX: +102 | -110 |
| Miami Heat | Moneyline | Pinnacle: -115 | -130 |
| Toronto Raptors +1.5 | Spread | FanDuel: -110 | -125 |
| Miami Heat -1.5 | Spread | DraftKings: -105 | -115 |
| Over 227.5 | Total | DraftKings: -110 | -120 |
| Under 227.5 | Total | betPARX: -109 | -120 |
Utah Jazz @ Denver Nuggets
Best moneyline price: Denver Nuggets -160 at FanDuel; Utah Jazz +136 at DraftKings.
| Side | Market | Best Line | Worst |
|---|---|---|---|
| Denver Nuggets | Moneyline | FanDuel: -160 | -165 |
| Utah Jazz | Moneyline | DraftKings: +136 | +130 |
| Over 237.5 | Total | betPARX: -109 | -110 |
| Under 237.5 | Total | DraftKings: -110 | -112 |
| Denver Nuggets -3.5 | Spread | betPARX: -108 | -115 |
| Utah Jazz +3.5 | Spread | FanDuel: -105 | -113 |
Golden State Warriors @ Los Angeles Clippers
Best moneyline price: Los Angeles Clippers +126 at FanDuel; Golden State Warriors -135 at DraftKings.
| Side | Market | Best Line | Worst |
|---|---|---|---|
| Los Angeles Clippers | Moneyline | FanDuel: +126 | +114 |
| Golden State Warriors | Moneyline | DraftKings: -135 | -154 |
| Los Angeles Clippers +2.5 | Spread | betPARX: -108 | -110 |
| Golden State Warriors -2.5 | Spread | DraftKings: -110 | -113 |
| Over 224.5 | Total | betPARX: -107 | -110 |
| Under 224.5 | Total | DraftKings: -110 | -114 |
Frequently Asked Questions
What are the best NBA Preseason lines today?
The table below shows which sportsbook has the best available price on each side of every upcoming NBA Preseason event. Line shopping across multiple books can save you 1–3% per bet compared to sticking with a single sportsbook.
What is vig (vigorish) in sports betting?
Vig — short for vigorish, also called juice or overround — is the margin a sportsbook builds into its odds. It's the difference between the true probability of an outcome and what the odds imply. Lower vig means you keep more of your winnings on every bet. For example, a standard -110/-110 line has about 4.76% vig.
How often is this data updated?
We pull fresh odds from The Odds API every hour, on the hour (UTC). Each snapshot captures the latest lines from every sportsbook that has posted odds. The timestamp at the top of the page shows the most recent refresh.
How is the vig grade calculated?
Each sportsbook is graded on average vig: A+ (under 2%) is exchange-level pricing, A (2–3%) very competitive, B+ (3–4%) above average, B (4–5%) the industry standard, C+ (5–6%) slightly below average, C (6–7%) below average, D (7–8%) high vig, D− (8–10%) very high, F (10%+) predatory.
Why does lower vig matter for bettors?
Lower vig directly impacts your long-term returns. A bettor placing $1,000 per week at a book with 4% vig loses roughly $40/week to the house edge. At 2% vig, that drops to $20/week — a $1,040 difference over a year. For serious bettors, shopping for lower vig is one of the most reliable ways to improve profitability.
What sportsbooks do you track?
We track both regulated US sportsbooks (DraftKings, FanDuel, BetMGM, Caesars) and offshore books (Bovada, BetOnline, MyBookie, BetUS, LowVig.ag, BetAnything). Data comes from The Odds API, which aggregates real-time lines from licensed sources.
How We Calculate These Numbers
- Data Source
- All odds on this page come from The Odds API, which aggregates real-time lines from licensed US and offshore sportsbooks. We track moneyline, spread, and totals markets across every sport with active betting lines.
- Update Frequency
- We pull a fresh snapshot of every tracked market every hour, on the hour (UTC). Each snapshot captures the latest lines from every sportsbook that has posted odds for a given event. The timestamp at the top of each page tells you exactly when the data was last refreshed.
- Vig Calculation
- Vig (short for vigorish, also called juice or overround) measures the margin a sportsbook builds into its odds. We calculate it by converting the odds on each side of a market to implied probabilities, summing those probabilities, and subtracting 100%. For example, a market priced at -110/-110 implies 52.38% on each side — a total of 104.76%, meaning a vig of 4.76%. Lower vig means better value for bettors because you keep more of your winnings.
- Per-Market Breakdown
- We compute vig separately for each market type: moneyline (h2h), point spreads, and totals (over/under). The "average vig" shown for each sportsbook is the mean across all market types weighted by the number of events sampled in each market.
- Grading Scale
- Every sportsbook receives a letter grade based on its average vig: A+ (under 2%) is exchange-level pricing. A (2–3%) is very competitive. B+ (3–4%) is above average. B (4–5%) is the industry standard — a -110/-110 line is 4.76%. C+ (5–6%) is slightly below average. C (6–7%) is below average. D (7–8%) is high vig. D− (8–10%) is very high vig. F (10%+) is predatory pricing. See the full Vig Index Methodology for formulas, worked examples, and known limitations.
- Trend Tracking
- We store daily snapshots for 30 days, allowing us to show 24-hour and 7-day vig trends. A downward trend (improving) means sportsbooks are tightening their lines — often in response to increased competition or higher betting volume as a season heats up.