ITF Women · Tennis · Jul 22, 2026 13:36 UTC · avg book margin 8.0%

Martha MatoulavsGabriela Ce

Martha Matoula over Gabriela Ce at 1xBet: moneyline priced 14.4% soft, market compressed before serve

Offered at 1xBet1.69Fair price1.48+14.4% above fair

Omenizer detected 6 bookmakers pricing this bet above the no-vig fair near close — this story covers one of them. Members see the full board, live.

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.

The moneyline at 1xBet for Martha Matoula vs Gabriela Ce (ITF Women) opened at decimal 1.69—a 14.4% overvalue relative to sharp consensus. The board surfaced the signal before the match began, when the price was still available to bettors willing to act on the inefficiency.

Matoula won 2–0. The backed bet returned +0.69 units on a 1-unit stake.

Scorelines are noise. What counts for long-term value: by serve time, 1xBet's decimal odds had shifted +6.3% in the backer's direction. That market movement—closing-line value—is the lens professionals use to assess whether signal preceded reality or chased it. CLV survives variance; results do not.

Across 620 settled signals in women's tennis moneyline at this odds depth, the segment has logged +11.2% ROI.

This detection happens live, the moment bookmakers post prices—before matches kick off, not after scorelines settle. The active board flags these gaps while betting windows remain open.

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 Martha Matoula vs Gabriela Ce is on the member board now · unlock with Pro
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Record settled · last updated Jul 23, 2026 12:42 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).