Topic
Analytics and Data.
The numbers behind better decisions in rugby, from key metrics to pathway-wide data strategy.
Numbers only matter when they change a decision. This topic is about the metrics that actually move rugby outcomes, and how to use them without drowning in dashboards. We cover the key stats worth tracking for a single team, how to read them in the context of a game rather than in isolation, and how governing bodies and pathways build data strategies that span every age grade. The aim is to separate the numbers that inform selection, game plans, and player development from the ones that just look impressive in a report. Whether you are a coach trying to back a gut feeling with evidence or an analyst building a pathway-wide system, the posts here help you turn raw data into decisions you can defend.
We try to keep the maths grounded in decisions a coach or analyst actually makes on a Monday. Expect clear definitions, worked examples from real match situations, and warnings about the metrics that mislead more than they help. Whether you track five numbers or five hundred, the goal is the same: fewer arguments and better calls.
Every coach believes matches are won in the last twenty minutes by the team that is still standing. We split thousands of matches at half time and compared the halves. The fade is real, and it is far smaller than the folklore.
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We looked at every player wearing 16 to 23 across thousands of matches. They account for about a seventh of everything a team does, and at amateur level they are on the pitch far earlier than anyone plans for.
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Coaches build for multi-phase rugby. We collected tens of thousands of attacking sequences from every variety of rugby and counted the phases. The typical attack is over long before the plan gets going.
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We collected hundreds of thousands of carries and hundreds of thousands of tackles from every variety of rugby, each recorded with who won the contact. The ball carrier wins far more often than anyone admits, and the exceptions decide matches.
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We collected tens of thousands of scrums and lineouts from every variety of rugby. One of them hands the ball back nine times out of ten. The other is far less loyal, and it is not the one coaches worry about.
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We examined tens of thousands of consecutive tries from every variety of rugby to test rugby's favourite story. Scoring runs happen exactly as often as shuffling the scores at random predicts.
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Professional teams talk about ninety per cent. Across thousands of matches from every variety of rugby, the real amateur benchmark is lower, and the link to winning is the steepest we have found.
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More than thirty-five thousand lineouts from every variety of rugby, sorted by how many players stood in the line. The shortened lineout is everyone's favourite, and the numbers gently disagree.
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We rebuilt the half-time score in thousands of matches from every variety of rugby. About one trailing team in six completes the turnaround, and one number changes everything.
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We put tens of thousands of tries on a clock, from every variety of rugby. The final ten minutes really is the busiest window, but not by as much as the cliche says.
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We checked thousands of matches from every variety of rugby to see how often the team that strikes first goes on to win. The answer: usually, but not nearly always.
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Nearly seven hundred data points per match, across thousands of matches from every variety of rugby. Here is everything that happens in a typical game, in one place.
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Coaches say matches are won at the breakdown. We tested it, comparing each team's ruck work to whether they actually won, across thousands of matches.
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The knock-on is the least glamorous stat in rugby and one of the most costly. We measured how often teams give the ball back through their own hands.
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Possession is the number everyone quotes at half-time. We took the matches where we analysed both teams and asked whether the side with more of the ball actually wins.
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"Quick ball" is the most demanded thing at training, but nobody puts a number on it. We timed hundreds of thousands of breakdowns to find out how fast the ball really comes back.
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Penalties hand over territory, points and momentum, but where do they really come from? We collected the penalties teams give away, from amateurs to professionals across the men's and women's game.
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We collected over 13,000 tries, from amateurs to professionals across the men's and women's game, and counted the passes in the move that scored each one. The typical try is far shorter than the highlight reel suggests.
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The numbers are the easy part. Here are the uncomfortable truths about what data can and cannot do for your rugby team.
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We rebuilt the scoreboard for thousands of rugby matches, grassroots to professional. The average game is far more lopsided than the tight ones on TV, yet a third still finish within one score.
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Corner or posts? We labelled every conversion and penalty at goal, grassroots to professional. Kickers are far less reliable than TV suggests, and the break-even for going to the corner is about a third.
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We labelled over 13,000 rugby tries, from grassroots to the professional game, by the shirt number that scored them. The wing still tops it, but forwards take a far bigger slice than you would think.
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We traced nearly forty thousand tries back to the possession that produced them. Nearly two-thirds start at the set piece, the scrum try takes 12 seconds, and the turnover try takes 9.
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Two of these are professional tagging suites that assume a skilled operator with hours to spend. One takes that work off your plate entirely. An honest comparison of cost, hours and output for rugby.
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We tracked the scoreboard through 5,000 grassroots and school matches. The team leading at 20 minutes wins five times out of six, and the first try lands earlier than you think.
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An 80-minute match contains about 25 minutes of actual rugby. We measured ball-in-play time across roughly 5,000 senior-level matches, and the shape of the game will change how you train.
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AI will not win games on its own, but used well it builds a real edge. Here is how to turn match data, sharper decisions, and player development into wins.
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The Chicago Hounds went from Major League Rugby newcomers to top of the table fast. Here is how data-driven recruitment, and a custom league-wide dashboard, helped.
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Framesports has analysed millions of events across thousands of rugby matches. Here are the real numbers behind tackling, kicking, set piece, and scoring.
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Good scouting wins games before kickoff. Here is how AI helps you find an opponent's patterns, predict their plan, and build the training to beat it.
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Coaches obsess over getting into the 22, but in our data 43% of entries produce nothing. Where tries really come from, and why it argues for braver rugby.
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Across thousands of matches, tackle completion sits at 80.7% and only 14% of tackles are dominant. Here is what the collision battle in rugby actually looks like.
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We measured tens of thousands of kicks. The average is shorter than you think, the game is shifting fast to the contestable kick, and kicking is a smarter trade than it looks.
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AI is reshaping every industry, and rugby is no exception. Here are four ways it changes rugby analysis, and how to put each one to work for your team.
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What are the real lineout, scrum and restart success rates in rugby? We counted across thousands of matches, and worked out where improving them actually pays off.
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Every match throws off numbers that make great posts, and most clubs bin them. Here is how to turn rugby stats into branded content that grows your club.
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Set pieces are the most patterned part of rugby, which makes them the most analysable. Here is how AI sharpens your lineout, scrum, and restart battle.
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Queensland Rugby Union put the same analysis behind every club in the state, from GPS schools to grassroots and age group teams. Here is how it works.
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It is obvious now that AI is reshaping every sector on earth. Sport is no exception, and rugby certainly isn’t. From the way clubs plan training to how fans discover highlights, machine learning is already altering…
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Rugby is catching up. In the big US sports and global football, AI is already baked into how teams plan, train, scout, and even tell stories to fans. The NFL uses computer vision and predictive models to enrich…
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Rugby is entering a new phase. In the past, analysts spent hours tagging, exporting, and building decks before coaches could act. AI collapses that timeline. It turns raw video and data into answers, then delivers…
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You must never underestimate a gameplan. Rugby is not chess, yet there are thousands of variables swirling through every match that shape the likelihood of each team winning. A side with better players, facilities,…
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Everyone has watched Moneyball , the classic sports data film that probably nudged half the industry into analytics. It is brilliant because it shows how often organisations solve the wrong problem. Sport is full of…
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Every coach knows the staples. Kick meters, 22m entry conversion rate, carry dominance, tackle dominance, ruck speed, set piece efficiency, exit success, penalty count, and territory gains. These will always matter…
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GPS arrived in elite sport in the early 2000s and changed how coaches understood training and performance. At first, only the best players in a team wore a unit. Then the whole starting XV. Soon every professional…
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We often get asked: do you analyse sports other than rugby too?
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