England Women's Super League


Home Win
Manchester United W 2 - 2 London City Lionesses
Who will win?
1

Manchester United W
x
Draw
2

London City Lionesses
Manchester United W take on London City Lionesses in the FA WSL on Sunday, and we've crunched the numbers to see what's likely to happen.
Manchester United W have been decent of late: 3W 1D 1L from the last 5. They've won their last three, so momentum is with them.
London City Lionesses are ticking along nicely with 3 wins from 5 recently. Back-to-back wins have steadied the ship.
This is a coin flip, basically. Manchester United W 40.00%, London City Lionesses 40.00%, draw 20.00%. Take your pick. Scoreline prediction: 2-2.
Both Teams to Score sits at 52.00%. Not the strongest lean either way.
Goals expected here. Over 2.5 at 73.30% confidence. The Over 1.5 (80.00%) looks nailed on, and even Over 3.5 (40.00%) isn't crazy.
We're going with Over 2.5 Goals at 3.25. The algorithm puts this at 73.30%.
Market prices: Manchester United W win 1.33, London City Lionesses win 8.00, Draw 4.75. For goals, BTTS Yes 1.91 / No 1.80, Over 2.5 at 3.25.
This analysis was automatically generated by the Football Park prediction system. The model uses historical performance and statistical analysis — but remember, this is football, and upsets happen. Please bet responsibly.

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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