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Belgian football gave me a strange, useful education: a small league where the gap between sides is thin enough that how a match is paced matters as much as who is in it. I spent years in Brussels watching teams that could be ahead at the break and beaten by full time, and it taught me to think of a match in two halves rather than one result โ to ask not just who wins, but when the game actually turns. Half-time/full-time is one of the most misunderstood markets there is, and that's precisely why I like it. My work centres on how sides open matches โ the fast starters, the slow burners, the teams that tire after the hour โ and how a manager's in-game habits shape the second half through substitutions and shape changes. I pay close attention to fixtures where one side reliably comes from behind, because that pattern is where the real edge in this market hides. A correct outright pick can still be the wrong HT/FT call entirely. Ten years of writing this has made me wary of how a single early red card or a freak opener can rewrite the whole script. So I lean on tempo patterns and squad habits, quote prices I believe are fair, and explain the reasoning step by step rather than pretending I can time the chaos to the minute. โ Greta Janssens
HT/FT predictions built on how teams start, finish and shift through a match.
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National League HT/FT study: Away/Away lands 18.3% of matches across 7,686 games, above the rest of Europe. Base rates, eras, favourites and clubs.
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League Two HT/FT study: home sides converted 76.2% of half-time leads, the lowest of 22 European divisions. What the price does to that.
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Only 4.7% of League One matches are reversed after half-time. A HT/FT guide to club comeback records, half-time scores and season trends.
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In the Championship, 42.6% of matches are level at half-time and 39.3% of those stay drawn. See how the home price reshapes HT/FT outcomes.
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Premier League HT/FT study: Home/Home lands in 28.1% of 7,980 matches, fair odds 3.56. All nine results, season trends and club lead conversion.
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Learn how to convert expected goals into a correct-score probability matrix, test assumptions, handle uncertainty and interpret each scoreline.
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