ITF Women · Tennis · Jul 18, 2026 06:00 UTC · avg book margin 8.3%
Kalyakina–Wang moneyline at Rushbet: 19.0% overvalue spotted live, market tightened +0.1% by start
This story covers a single signal — right now the member board has 648 live signals across 255 matches, found the same way.
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 matchPRO
FC U Craiova 1948 vs Maxline Vitebsk
· UEFA Champions League · Soccer — pick FC U Craiova 1948
@ 2.30
99Omen 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).
EV by devig methodthe same price run through every de-margining method
+3.1%
Shin
+3.0%
Power
+3.4%
Additive
-7.9%
Worst case
+3.4%
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
Bookmaker
Odds
Vs fair
Betanything
2.30
+13.5%
BetUS
2.25
+11.1%
BetOnline
2.25
+11.1%
SportsBetting.ag
2.25
+11.1%
Betmania
2.18
+7.6%
Betano
2.10
+3.7%
Bracco
2.04
+0.7%
Bet105
2.03
+0.2%
YouWager
2.02
-0.3%
Jazz Sports
2.00
-1.3%
Stake
1.98
-2.2%
Unibet
1.98
-2.2%
Risk & profitability profile
Heavy favoriteFavoriteCoin flipUnderdogLongshot
2.30 odds → 43% implied win probability
49%
Fair win probability
+8.7% 🔒
Expected ROI (model)
+3.3% 🔒
Cohort realized ROI
Proven Playbook matchesconditions are members-only
• closing drift + liquid market 🔒 (Soccer) — +8.0% settled ROI on 40% winners
• early value + short odds 🔒 (Any) — +7.2% settled ROI on 48% winners
• consensus fade + late entry 🔒 (Any) — +7.0% settled ROI on 43% winners
• steam entry + home side 🔒 (Any) — +6.9% settled ROI on 40% winners
Past performance
Based on 108 bets exactly like this one over the last 60 days
+6.9% 🔒
Closing line value
+7.7% 🔒
Average return
+4.0% 🔒
Beat the closing line
83%
Win rate
Likely ROI range: +1.0% to +7.0% 🔒
Statistically reliable winner: even the worst case is profitable
The endingthe part only a settled signal can show
Detected Jul 15, 06:20 UTC at 2.15 (+3.4% edge) → fair price at close 2.03 → closing-line value +2.7%
✅ Settled: WON · +1.15 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
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).