MLB · Baseball · Jul 26, 2026 20:00 UTC

Giants-Angels live repricing: 34-point swing in 67 minutes, 4cx left 31 points on the table for 12 minutes

31pp window, 12 min5%29%53% market median 4cx (slowest)

At the 67-minute mark of San Francisco Giants vs Los Angeles Angels (MLB), the live market shifted without any scoreboard event to trigger it. In a 5-minute span, San Francisco Giants' implied win probability collapsed from 45% to 11% across 140+ bookmakers—and the market held that new level. That is how information typically moves through a live market: fast, decisive, and sticky.

The repricing unfolded at different speeds across the board. espn-bet and 1xBet moved within 1 minute; among the 108 books that adjusted, the median lag was 1 minute. The outliers dragged: 4cx took 12 minutes, partypoker 4 minutes, bwin 4 minutes.

That 12-minute window has now closed, which is why we can review it in full detail. For the entire span, bettors holding fresh information could have positioned on Los Angeles Angels at 4cx's outdated price—a 31-point gap sitting visibly on the board for anyone watching. These pricing gaps appear on live markets regularly; spotting them while they remain open is the practical challenge.

Trying to front-run the fastest reprices is futile. What works instead: knowing which books tend to lag behind, and our data tracks those delays both before and during matches.

Historical, aggregate market data — not betting advice and not a guarantee. In-play prices move violently; markets adapt; 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
Boston Red Sox vs Baltimore Orioles · MLB · Baseball — pick Boston Red Sox @ 2.32
99 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
+2.5%
Entry edge
+0.1%
Edge near close
+0.0%
Risk-adjusted edge
2.32
Fair price (no-vig)
2.50
Entry odds
Quality
60/100
Confidence
2
Sharp books
Standard
Class
Market state: Sharp consensus (2 books) · priced from: Sharp price
Sizing
1.7%
Recommended stake
0.1%
Full Kelly (theoretical max)
EV by devig methodthe same price run through every de-margining method
+1.9%
Shin
+1.7%
Power
+2.5%
Additive
-4.9%
Worst case
+2.5%
Multiplicative
A sample of bookmakers on this betnear close — every price against the same no-vig fair
BookmakerOddsVs fair
FanDuel2.32+0.1%
Bovada2.30-0.8%
Espn-Bet2.30-0.8%
Betanysports2.30-0.8%
1xBet2.29-1.2%
Matchbook2.26-2.5%
BetUS2.25-2.9%
Gtbets2.25-2.9%
BetMGM2.25-2.9%
Coolbet2.25-2.9%
Sport8882.25-2.9%
Everygame2.25-2.9%
Risk & profitability profile
Heavy favoriteFavoriteCoin flipUnderdogLongshot
2.32 odds → 43% implied win probability
43%
Fair win probability
+1.5% 🔒
Expected ROI (model)
+6.2% 🔒
Cohort realized ROI
Proven Playbook matchesconditions are members-only
steam entry + home side 🔒 (Baseball) — +26.5% settled ROI on 53% winners
closing drift + liquid market 🔒 (Baseball) — +23.3% settled ROI on 57% winners
early value + short odds 🔒 (Baseball) — +14.7% settled ROI on 48% winners
consensus fade + late entry 🔒 (Any) — +7.1% settled ROI on 43% winners
Past performance

Based on 58 bets exactly like this one over the last 60 days

+1.2% 🔒
Closing line value
+2.7% 🔒
Average return
+2.0% 🔒
Beat the closing line
59%
Win rate
Likely ROI range: +7.2% to +3.0% 🔒
Statistically reliable winner: even the worst case is profitable
The endingthe part only a settled signal can show
Detected Jul 20, 14:54 UTC at 2.50 (+2.5% edge) → fair price at close 2.32 → closing-line value +5.2%
✅ Settled: WON · +1.50 units
A real, settled example — not a typical-results claim (read this signal's full story). The live breakdown for San Francisco Giants vs Los Angeles Angels is on the member board now · unlock with Pro
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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).