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

Tigers–Royals live swing: 57-point repricing in 6 minutes, PointsBet stranded 34 points behind for 16 minutes

34pp window, 16 min15%57%98% market median PointsBet (slowest)

The score moved to 4–5 roughly 15 minutes into Detroit Tigers vs Kansas City Royals (MLB). Within the next 6 minutes, Detroit Tigers' implied win probability collapsed from 88% to 31% across 139+ bookmakers—and stayed there. A shift that fast and that synchronized shows real information reaching the system.

Repricing speed fractured across the board. 1xBet and BC.Game finished within roughly 6 minutes; the median book that moved also took 6 minutes across 101 operators. The outliers holding their old quotes the longest: PointsBet (16 min), netbet (16 min), and PointsBet again (16 min).

That 16-minute lag has now closed, making the full picture publishable: for that span, anyone with the right read could have backed Kansas City Royals at PointsBet's stale prices—a 34-point gap sitting openly on the board the whole time. These temporary mispricings materialise constantly on live markets; catching them while they breathe is the hard part.

Outrunning the fastest reprices is not a realistic play. What works is isolating which operators consistently lag, then measuring how wide and how long their gaps tend to stay open. Our board does exactly that—tracking the lag signature on every match, pre-match and in-play.

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 Detroit Tigers vs Kansas City Royals 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).