ITF Women · Tennis · Jul 30, 2026 12:30 UTC · avg book margin 8.1%

Herea–Penickova ITF final: 0–2 result cashed the 6.3% mispricing flagged at DraftKings, and the market repriced to confirm it

Offered at DraftKings3.50Fair price3.29+6.3% above fair

Omenizer detected 11 bookmakers pricing this bet above the no-vig fair near close — this story covers one of them. Members see the full board, live.

DraftKings offered decimal 3.50 on the Carmen Andreea Herea vs Annika Penickova (ITF Women) moneyline when our system detected it: the price sat 6.3% softer than sharp consensus. The signal went live while liquidity held, giving bettors the window to pull the trigger.

The match finished 0–2. On a flat 1-unit stake, the position returned +2.50 units.

What separates luck from skill in betting: closing-line value. Between detection and serve time, the market shifted +15.2% in favor of the flagged side—a repricing that matters because professionals track price motion, not scorelines. Scorelines scatter; market moves contain real information.

Over 2466 resolved bets flagged in this corner of the market—ITF tennis moneyline, mid-range odds tier—cumulative return sits at +7.6% ROI.

The engine running this analysis scans daily before play starts, not after final scores land. Its job: surface mispricings while the market still lets you trade. Check the live board to see edges as they drop.

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 Carmen Andreea Herea vs Annika Penickova is on the member board now · unlock with Pro
See the live board — free account

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Record settled · last updated Aug 01, 2026 06:33 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).