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How FRAG Match Statistics Work (And Why They’re Worth Checking Before Every Match)

How FRAG Match Statistics Work (And Why They’re Worth Checking Before Every Match)

How FRAG Match Statistics Work (And Why They’re Worth Checking Before Every Match)

If you’ve ever landed on a match page on FRAG and wondered what all those numbers next to the team logos mean, this one’s for you. Every match page on the site carries a full match statistics breakdown – and it’s one of the most useful tools we offer for understanding a matchup before a single round has been played.

Here’s how it works, and why it’s worth a look before you tune in.

What match statistics actually shows

Open any match page and scroll past the stream links, and you’ll find four layers of data:

Head to Head – how the two teams have fared directly against each other, going back three months. When there’s history to show, you’ll see the actual record, each side’s win rate, average maps won, clean sheets, and any active streak within that head-to-head series specifically – separate from each team’s overall form. When there’s no recent history between the two sides, the page says so plainly rather than digging up stale results that don’t reflect current form.

Match Format Performance – a breakdown of each team’s win rate split by format: best-of-one, best-of-three, and best-of-five. This matters more than it sounds – a team can look dominant overall but actually be shakier in the specific format they’re about to play, or vice versa. Format splits with fewer than 5 matches get flagged with a small warning icon, so a shiny 100% win rate built on a single game doesn’t get mistaken for a real trend.

Recent Form – the last five results for each team, shown as a simple win/loss strip, plus their current streak. It’s the fastest way to see if a team is rolling or scrambling.

Performance Metrics – three numbers per team: Average Maps Won (how comfortably they tend to win series), Clean Sheet Rate (how often they win without dropping a single map), and Close Match Rate (how often their games go the distance). Together these paint a picture of how a team wins, not just whether they win.

Two examples from the same tournament

Two Round 4 matchups from The International 2026 show how differently this data can read depending on the matchup.

In one, two unbeaten teams met for the first time in months. One side had played only 6 matches in the prior three months but won every one of them, including a perfect record across best-of-three series. The other had played far more – 34 matches – with a strong but less flawless win rate and a very high clean sheet rate, suggesting that when they win, they tend to win clean. Neither number told you who’d win. Together, they told you what kind of match to expect: a red-hot but less battle-tested side against a proven, high-volume team that rarely lets series go the distance.

The other matchup was a different story. The two teams had already met once this tournament, so there was a real head-to-head record to show – a single prior match, won cleanly by one side. Both teams’ overall records over the past three months were close to a coin flip, both were mid-pack on wins and losses, and both carried modest two-game win streaks into the match. One team showed a notably higher win rate in best-of-five – but on just a single match, which the low-sample warning made clear wasn’t yet a real trend. It was a genuinely even matchup, and the stats reflected that rather than making one side look more dominant than it was.

Why it’s useful

Context before kickoff. A scoreline alone doesn’t tell you whether a team has been dominant or scraping by. Recent form and clean sheet rate fill that gap in seconds.

Format-specific insight. Overall win rate can be misleading if a team’s record is skewed by one format. Splitting performance by BO1/BO3/BO5 – with a clear flag on small samples – shows whether a team’s strength actually travels into the format they’re about to play, rather than just looking good on paper.

Faster viewing decisions. With dozens of matches running across a busy tournament week, stats help you quickly spot the games most likely to be close – or the upsets most likely to happen.

No digging required. All of this is pulled together automatically on every match page, across every game we cover – CS2, Dota 2, League of Legends, Valorant, and more. No need to cross-reference multiple sites or dig through match histories yourself.

Where to find it

Match statistics appear automatically on every match page across the site – just open any upcoming or live match and scroll down. You can browse by game on our live scores hubs for CS2, Dota 2, and League of Legends, or jump straight into an ongoing tournament like The International 2026 to see it in action across a full bracket.