Data-Driven NRL Prop Rankings Highlight Emerging Talent

AI Metrics Reshape Evaluation of Rugby League Forwards

The landscape of rugby league forward play is undergoing a quiet revolution, driven by advanced analytics that challenge traditional assessments of player value. The latest Red Bull High Flyer Player Rankings for props illustrate this shift, placing emerging talents above established representative stars based on rigorous data analysis.

While established names often dominate representative selection, the Performance Score Value (PSV) metric prioritises measurable impact on the scoreboard. This season, the data reveals a notable ascent from younger players and overlooked contenders, questioning the efficacy of subjective selection processes.

The Leading Contenders

1. Toby Couchman (St George Illawarra Dragons) +2.06
   Anchored to the bottom of the ladder, the Dragons have struggled, but Couchman's individual output remains exceptional. The 22-year-old has averaged 135 run metres per game across 10 appearances, providing a rare structural foundation for his side amid a 14-game losing streak.
2. Jason Taumalolo (North Queensland Cowboys) +2.03
   The Cowboys veteran continues to defy his age. At 33, Taumalolo is averaging nearly 160 metres per game, accumulating over 1500 metres this season and providing a cornerstone for Todd Payten's top-four contenders.
3. Jackson Ford (New Zealand Warriors)
   Overlooked for the New South Wales State of Origin side, Ford's statistical output presents a compelling case for selection. Averaging 180 metres per game for the second-placed Warriors, his work rate has been instrumental in supporting the club's playmakers throughout a disrupted campaign.
4. Moses Leota (Penrith Panthers)
   Stepping into a leadership role following the departure of James Fisher-Harris, Leota has become the structural core of the Panthers' pack. His efficiency, averaging over 100 metres per game, facilitates the attacking structures of the competition leaders.
5. Taniela Paseka (Manly Warringah Sea Eagles) +1.32
   Under the guidance of Kieran Foran, Paseka has realised his considerable potential. Averaging 130 metres per game, the Manly forward has provided the platform for the club's outside backs, contributing to their top-four positioning.
6. James Fisher-Harris (New Zealand Warriors)
   The Warriors skipper has brought significant value to the New Zealand franchise, averaging over 140 metres per game. His combination with Ford has established a dominant forward platform, highlighting the immediate returns of strategic roster moves.
7. Addin Fonua-Blake (Cronulla-Sutherland Sharks) +1.24
   While not reaching his absolute peak in every match, Fonua-Blake maintains a high baseline of performance. Averaging nearly 150 metres per game for the Sharks, his consistency was recognised with a New South Wales Origin debut this week.
8. Trey Mooney (Newcastle Knights)
   After limited opportunities at the Raiders, Mooney has found his footing at the Knights. The 24-year-old is averaging almost 100 metres per game and has crossed for five tries, playing a key role in Newcastle's rise to sixth on the ladder.
9. Jacob Saifiti (Newcastle Knights) +1.11
   The resurgence of the Knights has been underpinned by Saifiti's return to form. Averaging over 110 metres per game, the 30-year-old's performances earned him a recall to the New South Wales Origin squad.
10. Tevita Tatola (South Sydney Rabbitohs)
    Returning from significant injuries, Tatola has regained his best form for the Rabbitohs. Averaging nearly 120 metres per game, his durability has been central to South Sydney's rise from the bottom four into top-four contention.

Understanding the PSV Metric

The Performance Score Value operates not as a subjective rating out of ten, but as a relative measure of a player's direct contribution to the scoreboard. The system processes more than 15,000 data points per match, analysing every run, pass, kick, error and penalty.

Utilising a proprietary artificial intelligence model, the metric derives the intrinsic value of each action based on its impact on a team's likelihood of scoring. Positive actions, such as linebreaks, increase a player's PSV, while errors or penalties decrease it.

This allows for a standardised comparison across different positions, valuing overall impact over raw traditional statistics. Forwards generally build their scores through repeated involvements such as runs and tackles, while spine players and outside backs are more involved in scoring actions, leading to larger spikes in their scores. By quantifying every moment, the PSV model offers a more objective framework for assessing player merit, an approach that aligns with the growing demand for transparency and innovation in professional sports.