The top 3 books are tightly clustered — only 0.40% separates them.

The WTA Charleston Open, held annually on green clay at Credit One Stadium in Charleston, South Carolina, presents a distinctive betting landscape shaped by surface dynamics and tournament structure. Clay court tennis produces longer rallies and more predictable outcomes for baseline-heavy players, but green clay — a slightly faster variant of traditional red clay — introduces enough pace variation to create genuine value in the odds. The tournament typically draws a mix of top-30 players and rising talent, which means match outcomes can be less predictable than at Premier Mandatory events. For bettors, this translates to broader markets on some matches but thinner liquidity on early-round contests featuring lesser-known qualifiers, where sportsbooks tend to price in wider margins to protect against information asymmetry.

Vig on WTA Charleston Open matches generally runs wider than what bettors find at Grand Slams or WTA 1000 events, where higher betting volume and sharper market competition push margins down. For marquee matchups in the quarterfinals and beyond, competitive books may offer margins in the 4-6% range on match winner markets, but early-round lines — particularly involving qualifiers or players outside the top 100 — can see vig climb to 7-9% or higher. Shopping lines across multiple sportsbooks becomes especially important here, as the spread between the sharpest and softest books on the same match can represent significant edge over time.

The tournament typically runs in early April, falling during a transitional stretch in the WTA calendar as the tour shifts from hard court season to the European clay swing. This timing matters: player form data from the preceding hard court events doesn't always translate cleanly, and early-season clay results can be volatile. Key factors shaping Charleston odds include players' clay court win rates, fatigue from the Miami Open which often precedes it by just days, and Charleston's humid coastal weather, which can slow ball speed and favor grinders. Historical head-to-head records on clay carry more predictive weight here than overall tour matchup data, and bettors who dig into surface-specific stats often find mispriced lines, particularly in the first two rounds.

Analysis updated August 23, 2026. Odds data above refreshes hourly.

WTA Charleston Open Sportsbook Vig Rankings

# Sportsbook Avg Vig Grade Moneyline Spreads Totals Events
1 LowVig.ag 4.19% B 3.97% 4.62% 3.98% 1
2 BetOnline.ag 4.19% B 3.97% 4.62% 3.98% 1
3 BetMGM 4.59% B 4.59% 1
4 DraftKings 4.83% B 4.83% 1
5 Hard Rock Bet 5.00% C+ 5.00% 1
6 888sport 5.00% C+ 5.00% 1
7 Fanatics 5.14% C+ 5.14% 1
8 theScore Bet (ESPN Bet) 5.39% C+ 5.39% 1
9 BetRivers 5.90% C+ 5.64% 5.97% 6.10% 1
10 FanDuel 6.03% C 6.03% 1
11 Bovada 6.05% C 4.44% 6.78% 6.93% 1
12 betPARX 6.05% C 5.64% 5.97% 6.54% 1
13 Bally Bet 6.05% C 5.64% 5.97% 6.54% 1
14 BetUS 6.68% C 6.35% 6.78% 6.93% 1
15 BetAnything 6.95% C 6.93% 6.98% 1

Best Line Leaders

Which sportsbook offers the best odds most often across 1 events:

#SportsbookBest Lines
1LowVig.ag3
2Bovada1
3theScore Bet (ESPN Bet)1
4BetRivers1

Frequently Asked Questions

Which sportsbook has the lowest vig for WTA Charleston Open?

LowVig.ag currently has the lowest average vig for WTA Charleston Open at 4.19%, earning a grade of B.

How do sportsbook odds compare for WTA Charleston Open?

We compare 15 sportsbooks for WTA Charleston Open. The vig ranges from 4.19% (LowVig.ag) to 6.95% (BetAnything).

When do small vig differences matter for WTA Charleston Open?

The top two books (LowVig.ag and BetOnline.ag) are separated by just 0.00%. While small, this adds up over volume — a bettor placing $1,000/week saves roughly $0 per week by choosing the lower-vig book.

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.