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 because they capture how you control space, win collisions, and turn pressure into points. Ignore them and you’re flying blind.

A quick backdrop on rugby data

Rugby analysis grew from simple notational tagging to layered data streams that include event logs, GPS, and increasingly rich tracking. Most clubs now collect at least basic match events and physical data to guide selection, training loads, and injury risk management. The literature and practice are clear that performance analysis is embedded in modern coaching, even if methods and depth vary. Sport Performance Analysis+1

The core metrics, with the why

• 22m entries and conversion tell you whether territory becomes points. If you enter often but don’t score, the issue is execution, not field position.
  
  
  

• Kick meters and exit success reveal how reliably you relieve pressure and set up contests downfield.
  
  
  

• Carry and tackle dominance track the collision game. Dominant gains tilt ruck speed and shape the next phase before it starts.
  
  
  

• Ruck speed dictates whether defences can fold. Faster ball exposes edges and isolates pillars.
  
  
  

• Set piece returns go beyond win rates to outcomes after the first phase, especially off lineout in good zones.
  
  
  

• Penalty and turnover profile captures discipline and decision making under fatigue.
  
  
  

• Territory and possession with context matters more than raw shares. Where you play and when you keep the ball is the real story.
  These indicators are well established in both research and applied analysis, and they correlate with match outcomes across levels. Sport Performance Analysis+1
  
  
  

But the basics are now table stakes

Your opponents know them too. Most analysis platforms support playlists, event tagging, and standard KPIs. The market has matured, with multi-sport tools and rugby-specific options that help coaches review footage and share clips. That’s good for the sport, and each platform brings genuine strengths for different needs. framesports.ai

So how do you build a real edge when everyone has the same knowledge?

Where edges are found: granularity and context

Think of the classic metrics as headlines. Your advantage comes from the paragraphs beneath them.

• Collision quality, not just dominance
  Separate front-foot carries created by support shape from solo wins. Track post-contact meters by channel and defender type to find repeatable launches.
  
  
  

• Ruck architecture
  Measure width at ruck, reload speed of pods, and fold efficiency to spot overcommits that invite kicks or tip-ons.
  
  
  

• Kicking pressure and chase integrity
  Pair kick meters with hang time, launch point, and chase spacing. A 40-meter punt with no contest can be worse than a 30-meter kick that forces a messy return.
  
  
  

• Red-zone play families
  Tag patterns by family, not just call name. Then compare expected return by opponent profile and referee tendencies to pick high-percentage options late.
  
  
  

• Link phases and “momentum blocks”
  Group sequences of three to five phases and evaluate expected points added per block. This aligns analysis with how coaches script plays, not isolated events.
  
  
  

• Player load in context
  Merge GPS with event intensity to see which players make high-value contributions under fatigue. That’s a better selection lens than raw distance or tackle counts alone. Sport Performance Analysis+1
  
  
  

How FrameSports helps you capture that edge

At FrameSports, we agree the standard KPIs remain non-negotiable. The difference is what you can do next. Our rugby-first platform uses advanced AI and human expertise to collect hyper-granular data directly from your match footage, then layers it with context to drive better decisions.

• Hyper-granular event capture
  We break actions into micro-moments: carry type, body height, support picture, ruck geometry, kick contest quality, chase integrity, and more. That lets you answer questions like “Why did our 22m conversion dip when the bench came on?” rather than just “Did it dip?”
  
  
  

• Automated pipelines from any video
  We integrate with common cameras and hosting so your footage flows in without manual wrangling. Uploads from Veo, Hudl libraries, YouTube, Google Drive and others sync into a single workspace, ready for analysis. framesports.ai
  
  
  

• Rugby Xplorer and roster data
  Player identities, positions, and eligibility pull through to keep analysis tied to your pathway reality rather than anonymous numbers.
  
  
  

• From insight to action
  FrameSports turns findings into simple outputs for coaches and players. Automated, rugby-specific visual summaries and infographics highlight what matters for the next session. Individual development plans update as new games land, keeping players focused on two or three actionable themes instead of ten competing ideas.
  
  
  

• Engagement where players already are
  WhatsApp integration pushes clips, notes, and micro-tasks straight to athletes. Coaches can see who watched what and for how long, so you can reinforce, nudge, or simplify as needed.
  
  
  

• Human in the loop
  Analysts can refine tags, validate tricky moments, and add coaching language so your staff trusts the numbers. The blend of AI speed and rugby judgement is what makes the data usable on Monday.
  
  
  

A respectful note on the wider ecosystem

Platforms like Hudl, Catapult, Coach Logic, Veo, and others have helped normalise video analysis and data sharing in rugby. They’re valuable tools and suit different contexts. FrameSports focuses relentlessly on rugby specificity, speed from video to insight, and closing the loop with players so your work shows up on Saturday. framesports.ai

The takeaway

Keep tracking the staples. They will always be the heartbeat of rugby analytics. But the edge comes from seeing beneath those headlines, linking moments, and getting insights into the hands of players quickly. That’s exactly what FrameSports is built to do - collect the hyper-granular, add the context, and turn it into decisions that move the scoreboard.