MLB · Baseball · Aug 08, 2026 19:15 EDT · avg book margin 10.9%

San Francisco GiantsvsDetroit Tigers

Totals market splits across books, 26 hours before first pitch — 2.1% separation from sharp consensus

Offered2.10Fair price2.06+2.1% above fair
A SAMPLE OF BOOKMAKERS ON THIS MATCH · right now — every price against the same no-vig fair
BookmakerSideOddsVs fair
1XBetDetroit Tigers1.96+2.1%
Tailgate ExchangeDetroit Tigers1.94+1.2%
NovigSan Francisco Giants2.11+0.4%
BetGRWSan Francisco Giants2.09-0.6%
SX BetSan Francisco Giants2.09-0.6%
STN SportsDetroit Tigers1.90-1.0%
4CxSan Francisco Giants2.08-1.0%
BetOpenlySan Francisco Giants2.08-1.0%
Sportsbetting.agSan Francisco Giants2.07-1.5%
BetOnlineSan Francisco Giants2.07-1.5%
LowVigSan Francisco Giants2.07-1.5%
FanDuelDetroit Tigers1.89-1.5%
BetsafeDetroit Tigers1.89-1.5%
iBetDetroit Tigers1.89-1.5%
RizkDetroit Tigers1.89-1.5%
BetssonDetroit Tigers1.89-1.5%
SX BetDetroit Tigers1.89-1.5%
bet105San Francisco Giants2.07-1.5%
BoomersDetroit Tigers1.89-1.5%
Prophet XSan Francisco Giants2.07-1.5%

Margins and best-price rates for every book we track

At detection, 26 hours before San Francisco Giants and Detroit Tigers (MLB) play, the totals market shows clear disagreement among bookmakers — one quoted side sits 2.1% above the aggregated sharp consensus. The dislocation is currently open; the window has not yet closed.

When books disagree this visibly, it signals genuine market uncertainty about where the true line should sit — and that gap points to which side the sharp operators favor.

Eight independent sharp sources form the consensus baseline, so the fair-value anchor behind the edge is not housed in any single book.

Our Playbook maps this setup to 4 historically profitable scenarios — the top pattern has recorded +8.4% ROI on its settled bets.

Across 678 settled bets in this exact niche — baseball totals at mid-range odds — the historical return stands at +2.9% ROI.

Pricing separations in this market have historically lasted roughly 20 hours before convergence toward the sharp consensus begins.

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
Cincinnati Reds vs St. Louis Cardinals · MLB · Baseball — flagged side Under 8.5 @ 2.15
79 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
+4.4%
Entry edge
+0.9%
Edge near close
+0.1%
Risk-adjusted edge
2.13
Fair price (no-vig)
2.25
Entry odds
Quality
80/100
Confidence
9
Sharp books
Prime signal
Class
Market state: Recreational consensus (no sharp anchor) · priced from: Market reference
Sizing
1.55%
Recommended stake
0.8%
Full Kelly (theoretical max)
Insights
Rec-book consensus only — no sharp anchor.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
Hard Rock2.15+0.9%
espn-bet2.10-1.4%
Hard Rock2.10-1.4%
1xBet2.08-2.3%
Matchbook2.08-2.3%
sport8882.05-3.8%
betparx1.96-7.9%
Bally Bet1.96-7.9%
BetRivers1.96-7.9%
PMU1.83-14.3%
Risk & profitability profile
Heavy favoriteFavoriteCoin flipUnderdogLongshot
2.15 odds → 47% implied win probability
47%
Fair win probability
+4.9% 🔒
Expected ROI (model)
+8.0% 🔒
Cohort realized ROI
The endingthe part only a settled signal can show
Detected Aug 17, 18:51 UTC at 2.25 (+4.4% edge) → fair price at close 2.13 → closing-line value +1.1%
✅ Settled: WON · +1.25 units
A real, settled example — not a typical-results claim (read this signal's full story). The live breakdown for San Francisco Giants vs Detroit Tigers is on the member board now · unlock with Pro
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The strategies behind signals like this · More stories

Live market record · data refreshes with this page · 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).