WTA Tour · Tennis · Jul 26, 2026 08:00 UTC · avg book margin 7.4%

Kotliar–Mazzola moneyline 2–1: BC.Game's 19.0% slack closed before serve

Offered at BC.Game2.26Fair price1.90+19.0% above fair

This story covers a single signal — right now the member board has 748 live signals across 343 matches, found the same way.

The WTA Tour moneyline between Yelyzaveta Kotliar and Alessandra Mazzola carried a pricing anomaly the board caught in real time: BC.Game quoted decimal 2.26, running 19.0% softer than sharp consensus. The detection surfaced while the window to bet remained open.

Match result: 2–1. A 1-unit stake at the flagged price returned +1.26 units.

Tennis moneylines at this price range have produced +6.5% ROI across 2229 tracked outcomes on the board.

The board identifies these discrepancies live as odds post, before competition starts—not afterward. Signals appear while backers can still act on them.

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
Sebastian Baez vs Arthur Rinderknech · ATP World Tour · Tennis — pick Sebastian Baez @ 2.00
77 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
+5.8%
Entry edge
+4.8%
Edge near close
+0.7%
Risk-adjusted edge
1.91
Fair price (no-vig)
2.10
Entry odds
Quality
95/100
Confidence
3
Sharp books
Prime pick
Class
Market state: Strong sharp consensus (3+ books) · priced from: Sharp price
Sizing
5.3%
Recommended stake
4.8%
Full Kelly (theoretical max)
EV by devig methodthe same price run through every de-margining method
+5.8%
Shin
+5.8%
Power
+5.8%
Additive
-1.2%
Worst case
+5.8%
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
Sx.Bet2.01+5.3%
Novig2.00+4.8%
CampoBet2.00+4.8%
DraftKings1.99+4.3%
Matchbook1.98+3.8%
Betfair Exchange1.97+3.3%
Betfair Exchange (AU)1.97+3.3%
Bet1051.96+2.8%
Winpot1.96+2.8%
Ninja Casino1.96+2.8%
Bodog1.95+2.3%
Betano1.95+2.3%
Risk & profitability profile
Heavy favoriteFavoriteCoin flipUnderdogLongshot
2.00 odds → 50% implied win probability
52%
Fair win probability
+5.5% 🔒
Expected ROI (model)
+6.4% 🔒
Cohort realized ROI
Proven Playbook matchesconditions are members-only
steam entry + home side 🔒 (Any) — +6.8% settled ROI on 41% winners
closing drift + liquid market 🔒 (Any) — +6.7% settled ROI on 43% winners
early value + short odds 🔒 (Any) — +4.4% settled ROI on 41% winners
consensus fade + late entry 🔒 (Any) — +2.3% settled ROI on 44% winners
Past performance

Based on 357 bets exactly like this one over the last 60 days

+4.4% 🔒
Closing line value
+2.2% 🔒
Average return
+1.4% 🔒
Beat the closing line
34%
Win rate
Likely ROI range: +4.0% to +5.9% 🔒
Statistically reliable loser: even the best case still loses
The endingthe part only a settled signal can show
Detected Jul 21, 18:05 UTC at 2.10 (+5.8% edge) → fair price at close 1.91 → closing-line value +4.0%
✅ Settled: WON · +1.10 units
A real, settled example — not a typical-results claim (read this signal's full story). The live breakdown for Yelyzaveta Kotliar vs Alessandra Mazzola is on the member board now · unlock with Pro
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Record settled · last updated Jul 28, 2026 05:42 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).