WTA Tour · Tennis · Aug 13, 2026 14:00 UTC

Ashlyn KruegervsLois Boisson

Totals show 5.2% gap—sharp sources favoring one side, 16 hours to serve

Offered2.38Fair price2.26+5.2% above fair
A SAMPLE OF BOOKMAKERS ON THIS MATCH · right now — every price against the same no-vig fair
BookmakerSideOddsVs fair
duelLois Boisson3.15-4.0%
duelAshlyn Krueger1.42-5.4%
20BetAshlyn Krueger1.40-6.8%
ESPN BETAshlyn Krueger1.38-7.8%
20BetLois Boisson3.00-8.6%
WinpotLois Boisson3.00-8.6%
WinpotAshlyn Krueger1.33-11.2%
ESPN BETLois Boisson2.90-11.6%

Margins and best-price rates for every book we track

At detection—16 hours before Ashlyn Krueger and Lois Boisson take the court on the WTA Tour—the totals market reveals a pricing split among bookmakers. Sharp consensus sits 5.2% below one operator's current quote, a measurable disagreement with real settlement value.

When multiple sportsbooks can't converge on a price, the outlier is exposed—and the sharpest operators have already marked where the fair line sits.

Three independent sharp sources anchor the consensus, so this reference point is not one book's view but a cluster of professional pricing.

This signal aligns with 4 historically profitable patterns from our Playbook, with the strongest pattern showing a cumulative +30.5% return on settled bets.

Historical, aggregate data on settled bets — not betting advice and not a guarantee. Markets adapt; edges fade; variance is real.

AN EXAMPLE OF THE MEMBER VIEW · what members see on a bet like this — shown for a different, already-settled match PRO
Ekaterina Alexandrova vs Kristina Liutova · WTA Tour · Tennis — flagged side Kristina Liutova @ 3.10
81 Omen Score

This is the complete breakdown members get for every live signal. The example below is a DIFFERENT match, already settled — its market is closed, so full disclosure costs nothing. Everything is real except values marked 🔒, which are members-only (decoy digits shown).

Why this bet
+12.0%
Entry edge
+7.2%
Edge near close
+0.8%
Risk-adjusted edge
2.89
Fair price (no-vig)
3.65
Entry odds
Quality
95/100
Confidence
3
Sharp books
Prime signal
Class
Market state: Strong sharp consensus (3+ books) · priced from: Sharp price
Sizing
4.5%
Recommended stake
3.4%
Full Kelly (theoretical max)
EV by devig methodthe same price run through every de-margining method
+9.7%
Shin
+8.4%
Power
+12.0%
Additive
-5.4%
Worst case
+12.0%
Multiplicative
Insights
High confidence + meaningful price gap — best risk-adjusted segment.
A sample of bookmakers on this betnear close — every price against the same no-vig fair
BookmakerOddsVs fair
Bwin3.10+7.2%
Sportingbet3.10+7.2%
Sportsinteraction3.10+7.2%
Superbet3.05+5.5%
Sx.Bet3.03+4.8%
Tailgate Exchange3.03+4.8%
Matchbook3.01+4.1%
Betway3.00+3.7%
Casumo3.00+3.7%
Unibet3.00+3.7%
Proline3.00+3.7%
Betjack3.00+3.7%
Risk & profitability profile
Heavy favoriteFavoriteCoin flipUnderdogLongshot
3.10 odds → 32% implied win probability
35%
Fair win probability
+4.1% 🔒
Expected ROI (model)
+7.4% 🔒
Cohort realized ROI
Proven Playbook matchesconditions are members-only
early value + short odds 🔒 (Any) — +7.9% settled ROI on 41% winners
consensus fade + late entry 🔒 (Any) — +6.3% settled ROI on 43% winners
steam entry + home side 🔒 (Any) — +4.3% settled ROI on 42% winners
Past performance

Based on 441 bets exactly like this one over the last 60 days

+7.0% 🔒
Closing line value
+7.7% 🔒
Average return
+6.3% 🔒
Beat the closing line
39%
Win rate
Likely ROI range: +3.2% to +8.3% 🔒
No reliable edge either way: too close to break-even to call
The endingthe part only a settled signal can show
Detected Jul 27, 12:51 UTC at 3.65 (+12.0% edge) → fair price at close 3.18 → closing-line value +2.4%
✅ Settled: WON · +2.65 units
A real, settled example — not a typical-results claim (read this signal's full story). The live breakdown for Ashlyn Krueger vs Lois Boisson is on the member board now · unlock with Pro
See the live board — free account

The strategies behind signals like this · More stories

Live market record · data refreshes with this page · How these numbers are made: methodology · the dataset — fair prices shown are margin-free. Spotted an error? Request a correction (include this page's URL).