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Saoirse Mullan | Over/Under Goals specialist at fixed-match.tips
Saoirse Mullan

Saoirse Mullan

Over/Under Goals specialist Methodical, evidence-led, measured 8 years

Football was the background noise of my whole childhood in Dublin โ€” the radio commentary, the arguments in the kitchen, the weekend ritual of it. But I only really fell for it when I stopped watching for my own side and started watching for the shape of a game: whether it would be a breathless, end-to-end affair or a tight, cagey grind where nothing moved. That single question โ€” open or closed โ€” became the spine of everything I write now. Over/under is a market people think they understand and usually don't. My read is built on tempo and chance quality far more than reputation: how quickly a side moves the ball forward, how high they press, how many genuine openings they actually manufacture rather than how much possession they hoard. I factor in the weather, the stakes, a heavy pitch, a cup tie that both teams are happy to leave at nil-nil. A famous attacking name on a wet night in a must-not-lose game can be the quietest under on the card. Eight years in, I hold real respect for how a single scrappy goal can swing a total I had read perfectly, or how a late onslaught can blow past a line that looked safe. So I stay with the underlying numbers, quote a fair price, and walk through why a game should flow or stall rather than guarantee you a goal count. โ€” Saoirse Mullan

Pages by Saoirse Mullan 7

Tips Over/Under Betting Tips

Over/Under Betting Tips

Over/under goals tips weighing tempo, chance quality, conditions and match context.

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Guide Serie A Over/Under Stats: Goals per Game, Fair Odds and Returns

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Championship over/under stats: only 47.7% of 11,590 matches went over 2.5 goals, so under 2.5 is the default. Lines, seasons, clubs, fair odds.

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Premier League Over/Under 2.5: Do the Goals Odds Get It Right?

Across 7,980 Premier League matches, over 2.5 landed 52.3% against a 51.8% priced chance. How the goals market prices, pays and shifts by season.

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Learn how to convert venue-specific football form into expected goals and a calibrated correct score probability matrix without overreacting to small samples.

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