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DASH by PlayIQ · 2026 Boys Pathway

The Selection Blueprint

Rep selection feels like a black box. It isn't. We measured every player in the four NSW & QLD pathway competitions and worked out what the picked ones actually do differently — position by position.

1,615player-seasons measured
4elite rep competitions
16position & age cohorts
0players named

Two groups. One gap.

Every player in these competitions was scored on DASH's NRL Readiness measure, then split in two. Everything below compares the typical player in each group.

Selection-ready

The standouts — the top ~26% on readiness within their own age group and position.

The pack

Everyone else in the same elite rep comps. Already good players. This is the bar to clear.

Shaded bars show the middle half of each group (25th–75th percentile); the solid line is the median. Every figure is a group average — no individual player is identified anywhere on this page, by design.

The benchmark checker

Where does your player sit?

Pick their age group and position. If you know their numbers, type one in and we'll show you exactly where it lands against both groups.

Age group
Position
Not our data alone

The evidence behind the pattern

Independent, peer-reviewed research that backs up what the DASH data shows.

Out-tackling your opponent is not a good sign

DASH's most counter-intuitive finding — teams that make more tackles spend longer in defence and concede more — is independently confirmed on every NRL season from 2018–2022. Volume of tackles isn't the goal; effective defence is.

Research Quarterly for Exercise and Sport, 2024 (Stats Perform NRL data)
The game gets harder up the grades — mostly in defence

Comparing scholarship, academy and senior rugby league, over 70% of the differences between levels were defensive actions, and collisions lost rose at senior level. The workload that climbs the ladder is physical and defensive.

Leeds Beckett, 147-player match-action study
Durable, physical players reach the top

Junior players tracked to professional outcomes were separated by physical and fitness qualities and durability with high accuracy. In the DASH data too, availability — games and minutes — and physical contribution beat flashy attacking stats.

Career-attainment studies, 580+ junior rugby league players
Being ahead at 16 isn't the whole story

Selection carries a relative-age and physical-maturity bias — roughly half of representative players are born in the first quarter of the year — and many professionals followed delayed trajectories. Read this as "where your player is now," not a verdict on who'll make it.

Australian junior RL relative-age & University of Sydney 224-player studies
The long game

The road to senior grade

Comparing the U21 players who were elevated to senior NSW/QLD Cup against those who weren't — the signature of a player who keeps climbing.

+51%more games played — availability above all
+66%more offloads — keeping the ball alive
+35%more tackle breaks per game
+26%more tackles — defensive workload
+22%more post-contact metres per game

The pattern is sharpest for middle forwards, where the players who reached seniors ran +42% more metres, made +39% more carries and +65% more tackle breaks. The middles who go up are genuine workhorses — high volume, hard carries, relentless defence.

The honest caveat

Anything measuring who got selected is partly measuring physical maturity, not just durable talent — so late-developing kids are its known blind spot. If your player isn't ahead at 16, that is not a verdict. Plenty of professionals were late bloomers who caught up and overtook. These are benchmarks, not predictions, and nothing here is a promise about any individual player's selection. Use them as a map of what to build, on your own child's timeline.

So what do you actually do with this?

Four steps, in order.

Find your child's position above.Read "what predicts stepping up" first — that's the trait the pathway rewards in that spot.
Be honest about where they sit.Are they closer to the pack line or the selection-ready line on the metrics that matter most?
Train the gap, not everything.Pick the one separator to attack this pre-season — the "what to work on" line tells you where to start.
Make it measurable.These are the exact metrics DASH tracks, so you can watch the gap close — not just hope it does.

Get the full Blueprint

All eight positions, both age groups, the research and the method — in one PDF you can keep and share with your player's coach. Free.

Not in one of these competitions? The bar is the same.

Wherever your player plays — club, school, another state — this is the standard the picked kids hit. With an IQ+ Game Review we score your player's own footage against these exact benchmarks. The courses turn each gap into drills you can run at home.

See IQ+ Game Review   Explore The Playbook

Method: DASH NRL Readiness Score — position-specific KPI percentiles benchmarked within age group and position, across SG Ball U19, Harold Matthews U17, Cyril Connell U17 and Mal Meninga U19 (2026), 1,615 player-seasons. "Selection-ready" = readiness ≥ 58 (Priority + Target tiers); "the pack" = below 58. Cohorts of fewer than 8 players are not published. Figures are cohort medians and quartiles. Aggregate data only — no individual players are identified. Benchmarks describe cohorts and never guarantee any individual's selection. © PlayIQ 2026.