Pinnacle dominates WTA China Open with 1.03% less vig than the runner-up LowVig.ag. The spread between #1 and #17 is 5.54% — book choice matters significantly for WTA China Open.

The WTA China Open, held annually in Beijing as a prestigious WTA 1000 event, presents a compelling betting market due to the volatile nature of women's tennis. Unlike men's best-of-five formats at Grand Slams, the WTA's best-of-two-sets structure means upsets occur with greater frequency, creating value opportunities for sharp bettors who understand matchup dynamics. Market depth for the China Open is generally strong given its top-tier tournament status — moneylines, set betting, game totals, and prop markets are widely available at major sportsbooks. However, liquidity tends to thin out considerably in early rounds when lesser-known qualifiers face seeded players, which directly impacts how aggressively books shade their lines.

Vig on WTA China Open markets tends to run moderately wide compared to ATP equivalents, largely because the perceived unpredictability of the women's game leads sportsbooks to build in extra margin as a hedge against variance. For marquee matches involving top-10 players, margins typically tighten to the 4-6% range across competitive books, but early-round matchups featuring unranked or qualifying-round players can see vig climb to 7-9% or higher. Bettors comparing odds across multiple sportsbooks can often shave significant margin, particularly on these less prominent matches where pricing discrepancies between books are most pronounced.

The China Open typically takes place in late September or early October, falling during a critical stretch of the WTA season when players are either pushing for WTA Finals qualification or managing accumulated fatigue and injuries from a long campaign. This timing is a key factor bettors should weigh — motivation levels vary wildly, and late-season withdrawals or underperformances from fatigued stars are common. Beijing's outdoor hard courts and occasionally humid conditions can also influence play styles, favoring aggressive baseliners who can dictate points quickly. Surface form from the preceding North American and Asian hard-court swing provides useful predictive data, and bettors who track recent head-to-head records and performance on similar court speeds will find edges that casual markets often overlook.

Analysis updated September 6, 2026. Odds data above refreshes hourly.

WTA China Open Sportsbook Vig Rankings

# Sportsbook Avg Vig Grade 24h Moneyline Spreads Totals Events
1 Pinnacle 3.28% B+ ↓ 0.41% 2.98% 3.42% 3.45% 16
2 LowVig.ag 4.31% B ↓ 0.05% 4.09% 4.33% 4.51% 15
3 BetOnline.ag 4.31% B ↓ 0.05% 4.09% 4.33% 4.51% 15
4 FanDuel 4.47% B ↑ 0.03% 4.47% — — 24
5 DraftKings 4.81% B — 4.81% — — 24
6 Hard Rock Bet 5.25% C+ ↑ 0.14% 5.25% — — 23
7 Fanatics 5.30% C+ ↑ 0.03% 5.30% — — 16
8 888sport 5.53% C+ ↑ 0.03% 5.53% — — 23
9 BetMGM 5.93% C+ ↓ 0.14% 5.93% — — 21
10 BetAnything 6.01% C — 4.38% 6.84% 6.90% 15
11 Bovada 6.14% C ↑ 0.05% 4.57% 6.85% 6.92% 18
12 theScore Bet (ESPN Bet) 6.70% C ↑ 0.23% 6.70% — — 16
13 BetRivers 6.80% C ↑ 0.18% 5.49% 7.47% 7.38% 24
14 Bally Bet 6.82% C ↑ 0.18% 5.49% 7.56% 7.38% 24
15 betPARX 6.82% C ↑ 0.18% 5.49% 7.56% 7.38% 24
16 Caesars 7.93% D ↓ 0.16% 6.73% 8.74% 8.93% 24
17 ReBet 8.82% D- ↑ 0.02% 8.49% 9.33% 8.63% 24

Upcoming Events

MatchupTimeCoverage
Ann Li @ Ashlyn KruegerOct 2, 11:00 PM EDT16 books
Maria Camila Osorio Serrano @ Coco GauffOct 2, 11:00 PM EDT17 books
Lin Zhu @ Donna VekicOct 2, 11:00 PM EDT17 books
Elise Mertens @ Katie VolynetsOct 2, 11:00 PM EDT17 books
Elina Svitolina @ Katerina SiniakovaOct 3, 12:30 AM EDT17 books
Paula Badosa @ Jelena OstapenkoOct 3, 12:30 AM EDT17 books
Storm Hunter @ Maria SakkariOct 3, 12:30 AM EDT17 books
Iga Swiatek @ Xinyu GaoOct 3, 1:00 AM EDT16 books
Harriet Dart @ Iva JovićOct 3, 2:00 AM EDT17 books
Leylah Fernandez @ Kamilla RakhimovaOct 3, 2:00 AM EDT17 books
Anastasia Zakharova @ Belinda BencicOct 3, 2:30 AM EDT17 books
Anna Kalinskaya @ Qinwen ZhengOct 3, 2:30 AM EDT17 books
Cristina Bucsa @ Sun XinranOct 3, 3:30 AM EDT17 books
Kimberly Birrell @ Marie BouzkovaOct 3, 3:30 AM EDT17 books
Xinyu Wang @ Sonay KartalOct 3, 7:00 AM EDT15 books
Alina Charaeva @ Elena RybakinaOct 3, 8:30 AM EDT17 books
Aryna Sabalenka @ Nikola BartunkovaOct 3, 11:00 PM EDT9 books
Taylah Preston @ Daria SnigurOct 3, 11:00 PM EDT10 books
Diana Shnaider @ Ekaterina AlexandrovaOct 3, 11:00 PM EDT10 books
Liudmila Samsonova @ Karolina MuchovaOct 3, 11:00 PM EDT10 books
Mirra Andreeva @ Polina KudermetovaOct 3, 11:00 PM EDT9 books
Naomi Osaka @ Sara BejlekOct 3, 11:00 PM EDT9 books
Dayana Yastremska @ Sinja KrausOct 4, 12:00 AM EDT11 books
Viktorija Golubic @ Linda NoskovaOct 4, 12:00 AM EDT11 books

Best Line Leaders

Which sportsbook offers the best odds most often across 24 events:

#SportsbookBest Lines
1Pinnacle66
2Bally Bet36
3BetRivers25
4LowVig.ag21
5FanDuel13
6ReBet12
7betPARX12
8BetOnline.ag7
9888sport7
10Hard Rock Bet6
11DraftKings6
12Caesars4
13Bovada3

Frequently Asked Questions

Which sportsbook has the lowest vig for WTA China Open?

Pinnacle currently has the lowest average vig for WTA China Open at 3.28%, earning a grade of B+.

How do sportsbook odds compare for WTA China Open?

We compare 17 sportsbooks for WTA China Open. The vig ranges from 3.28% (Pinnacle) to 8.82% (ReBet).

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.