ITF Women · Tennis · Jul 18, 2026 06:00 UTC · avg book margin 8.3%

Maria KalyakinavsJiayi Wang

Kalyakina–Wang moneyline at Rushbet: 19.0% overvalue spotted live, market tightened +0.1% by start

Offered at Rushbet1.85Fair price1.56+19.0% above fair

This story covers a single signal — right now the member board has 486 live signals across 183 matches, found the same way.

The setup — the analysis as published at detection, written before the game and frozen for the record. The market it describes has since closed; the outcome is above.

Our board detected a pricing gap in the ITF Women moneyline between Maria Kalyakina and Jiayi Wang while bettors could still act. Rushbet's decimal odds of 1.85 sat 19.0% above the sharp consensus, and early action captured that rate during the live window.

Wang took the match 2–0. The backed moneyline cashed for +0.85 units on a unit stake.

What separates edge from outcome: the market drifted +0.1% toward the flagged side by kickoff. That closing-line value—the professional standard for evaluating bets across time—confirms the initial pricing was real, not hindsight bias. Individual scorelines are noise; price movement is signal.

Across 565 settled signals in this segment (tennis moneyline, fav-range odds), our board has posted +9.7% ROI.

Detection occurs live during the betting window, before first serve—not after. The same engine that built this story flags edges every day and surfaces them while action remains possible.

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
Jiri Lehecka vs Stefanos Tsitsipas · ATP World Tour · Tennis — flagged side Stefanos Tsitsipas @ 2.69
90 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
+6.0%
Entry edge
+5.1%
Edge near close
+0.5%
Risk-adjusted edge
2.56
Fair price (no-vig)
3.00
Entry odds
Quality
94/100
Confidence
3
Sharp books
Prime signal
Class
Market state: Strong sharp consensus (3+ books) · priced from: Sharp price
Sizing
0.97%
Recommended stake
3.0%
Full Kelly (theoretical max)
EV by devig methodthe same price run through every de-margining method
+4.7%
Shin
+4.1%
Power
+6.0%
Additive
+4.7%
Balanced
-5.4%
Worst case
+6.0%
Multiplicative
Insights
Price is 3.3σ from market consensus.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
Betano2.69+5.1%
bet1052.66+3.9%
SX.bet2.63+2.7%
Matchbook2.63+2.7%
Prophet X2.63+2.7%
Tailgate Exchange2.63+2.7%
STN Sports2.62+2.3%
Betfair Exchange2.62+2.3%
Betfair Exchange (AU)2.62+2.3%
4cx2.61+1.9%
Novig2.60+1.6%
Winpot2.60+1.6%
Risk & profitability profile
Heavy favoriteFavoriteCoin flipUnderdogLongshot
2.69 odds → 37% implied win probability
39%
Fair win probability
+6.2% 🔒
Expected ROI (model)
+3.0% 🔒
Cohort realized ROI
The endingthe part only a settled signal can show
Detected Sep 03, 13:10 UTC at 3.00 (+6.0% edge) → fair price at close 2.63 → closing-line value +7.5%
✅ Settled: WON · +2.00 units
A real, settled example — not a typical-results claim (read this signal's full story). The live breakdown for Maria Kalyakina vs Jiayi Wang is on the member board now · unlock with Pro
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Record settled · last updated Jul 18, 2026 12:21 UTC · 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).