WTA Tour · Tennis · Aug 01, 2026 15:00 UTC · avg book margin 6.7%

Oksana SelekhmetevavsAoi Ito

Selekhmeteva–Ito 1–2: CampoBet's 16.4% mispricing moved sharply into kickoff

Offered at CampoBet3.67Fair price3.15+16.4% above fair

Omenizer detected 27 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.

Our detection system surfaced a WTA Tour moneyline at CampoBet trading 16.4% soft to sharp consensus before Oksana Selekhmeteva faced Aoi Ito. The decimal price of 3.67 sat live on the board while bettors could still act.

Match went 1–2. A 1-unit stake at the flagged odds returned +2.67 units.

The closing-line value is what counts: the market repriced +6.1% toward the flagged side between signal and the start of play. That kind of price motion is how professionals separate real edges from noise, because opening-to-close shifts encode market intelligence while match outcomes are variance.

Across 2493 settled plays in tennis moneyline signals at mid-range odds, the board has logged +7.8% ROI.

This detection runs live every day before play starts—not after results land. The board updates while liquidity remains and trades are still 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
Ekaterina Alexandrova vs Kristina Liutova · WTA Tour · Tennis — pick 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 pick
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 Oksana Selekhmeteva vs Aoi Ito is on the member board now · unlock with Pro
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Record settled · last updated Aug 02, 2026 06:52 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).