WTA Tour · Tennis · Sep 04, 2026 15:00 UTC

Ann LivsLinda Noskova

STN Sports is paying 6.8% over the sharp consensus in the totals market, 27 hours before first serve

Offered at STN Sports2.28Fair price2.13+6.8% above fair

This story covers a single signal — right now the member board has 534 live signals across 262 matches, found the same way.

A SAMPLE OF BOOKMAKERS ON THIS MATCH · right now — every price against the same no-vig fair
BookmakerSideOddsVs fair
tailgate exchangeAnn Li4.00+1.7%
SX.betAnn Li3.98+1.2%
matchbookAnn Li3.94+0.2%
novigAnn Li3.92-0.3%
4cxAnn Li3.91-0.6%
betfair-exAnn Li3.85-2.1%
underdog-predictionsAnn Li3.85-2.1%
Betfair Exchange (Australia)Ann Li3.85-2.1%
prophet-xAnn Li3.84-2.3%
betssonAnn Li3.80-3.3%
ibetAnn Li3.80-3.3%
betsafeAnn Li3.80-3.3%
rizkAnn Li3.80-3.3%
boomersAnn Li3.80-3.3%
bet105Ann Li3.79-3.6%
campobetAnn Li3.75-4.6%
betanoAnn Li3.75-4.6%
coolbetAnn Li3.75-4.6%
isnAnn Li3.73-5.1%
betnowAnn Li3.73-5.1%

Margins and best-price rates for every book we track

27 hours before Ann Li vs Linda Noskova (WTA Tour), bookmakers disagree about the totals market — and one side of that disagreement is currently priced 6.8% above the sharp consensus at STN Sports, at decimal odds of 2.28. This is a live edge, not a post-mortem: the window is open as this page is generated.

The spread of prices across books is unusually wide right now — when bookmakers can't agree, someone is wrong, and the sharp consensus says which side.

44 independent sharp sources price this market, so the fair line behind that edge isn't one book's opinion.

Edges like this don't wait for first serve: in this market, they have typically held for about 2 hours before the price corrects.

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
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 Ann Li vs Linda Noskova is on the member board now · unlock with Pro
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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).