FK Jablonec vs Karviná: Lineups, Predictions & Betting Tips
Czech First League
FK Jablonec vs Karviná Predictions
Home Win
FK Jablonec 3 - 0 Karviná
Visitor Picks (1x2) for FK Jablonec vs Karviná
Who will win?
1
FK Jablonec
x
Draw
2
Karviná
Saturday brings us FK Jablonec vs Karviná in the Czech Liga. Let's dig into the data and see where the value might be.
How Are They Looking?
FK Jablonec have been decent of late: 3W 2D 0L from the last 5.
Karviná are a mixed bag lately: 2W 1D 2L from the last 5. Two losses on the spin is a concern.
Breaking Down The Odds
The model is pretty confident here — FK Jablonec at 60.00% to win. Karviná are given just 13.30%, with the draw at 26.70%. The predicted scoreline? 3-0.
Goals, Goals, Goals?
BTTS is at 46.70% — could go either way on that one.
Goals markets: Over 1.5 at 60.00%, Over 2.5 at 50.00%, Over 3.5 at 40.00%. Pretty middle-of-the-road stuff.
Best Bet
Gun to our head? FK Jablonec to win at odds of 1.90. That's a 60.00% shout according to the numbers.
What The Bookies Say
Bookies have it: FK Jablonec 1.90, Draw 3.40, Karviná 3.70. BTTS Yes is 1.67, No is 2.10. Over 2.5 Goals at 1.91.
This preview was generated by our prediction algorithm. It crunches historical data, form, and stats to give you the numbers — but football being football, anything can happen. Bet responsibly.
David Shaw
Professional Sports Betting Analytics Expert & Algorithm Developer.
David Shaw is a pioneering figure in the sports betting analytics industry with over 12 years of specialized experience. He launched his first online sports data platform in 2014, quickly becoming the #1 ranked football tipster on Tipster Portal. Following the successful acquisition of his original platform, David founded FootyGuru365.com, which was also subsequently acquired as well as SoccerTips.ai.
David's crowning achievement is the development of the Betminer Algorithm - recognized as the world's most accurate football predictions algorithm. This sophisticated API now powers hundreds of major websites globally, providing cutting-edge predictions data to millions of users. He holds a degree in Computing from the University of the West of England, combining academic knowledge with real-world betting expertise.
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