These two Valorant agents are still the best to climb ranks

TL;DR

  • Jett and Reyna maintain 49%+ win rates in Episode 6 despite newer agent releases
  • Self-sufficient duelist kits provide maximum impact with minimal team coordination requirements
  • Aggressive site-breaking abilities make these agents ideal for solo queue ranked climbing
  • Low learning curve combined with high skill ceiling enables rapid MMR improvement
  • Strategic agent selection based on playstyle preference accelerates rank progression

Valorant’s competitive landscape has reached unprecedented difficulty levels in Episode 6, creating new challenges for rank climbers. However, statistical evidence reveals two specific agents consistently outperform others in solo queue environments, providing reliable pathways through the demanding ranked ladder.

Seasoned players recognize that despite multiple agent additions since launch, the foundational Project: A roster continues dominating competitive play. While newer characters have introduced fresh dynamics, the original lineup maintains superior performance metrics across all skill tiers. Data analytics confirm two particular duelists from the 2020 launch remain essential components in victory-oriented team compositions.

Reyna and Jett continue demonstrating exceptional performance in Valorant’s fast-paced ranked matches. These duelists receive consistent selection due to their independently powerful ability kits that enable aggressive playmaking without extensive team support. Their sustained high victory percentages two years post-release defy typical meta evolution patterns.

Even with the introduction of additional duelist options to Valorant’s agent pool, these original characters maintain statistical superiority according to comprehensive gameplay data. Their design philosophy emphasizes individual impact over team coordination, making them ideal for unpredictable ranked environments where communication may be limited.

Blizt.gg statistics indicate 11% of players selecting Jett achieve a 49% win rate, an impressive statistic in competitive gaming. As part of Valorant’s inaugural agent roster, Jett has maintained consistent performance despite numerous balance adjustments and meta shifts. Her signature dash movements and precision dagger ultimate remain unparalleled in their combination of offensive pressure and defensive evasion capabilities.

Jett’s kit excels in creating unpredictable engagement angles and rapid repositioning opportunities. Mastering her Tailwind (dash) ability allows players to secure advantageous positions while minimizing retaliation risks. Her Cloudburst smokes provide temporary cover for site entries, while Updraft enables verticality that opponents frequently underestimate.

Conversely, Reyna demonstrates an 11.3% selection rate during Episode 6 with a marginally superior win percentage compared to Jett. Players frequently prioritize Reyna over alternative duelists due to her exceptionally self-reliant toolkit that facilitates independent site penetration using her blinding Leer ability. This makes her particularly effective in situations where team utility may be lacking or unreliable.

Reyna’s Devour and Dismiss abilities create snowball potential unmatched by other agents. Each elimination transforms into potential healing or invulnerability, enabling consecutive duel victories that can single-handedly shift round outcomes. Her Empress ultimate amplifies this potential, creating windows for multi-kill opportunities that rapidly accumulate round advantages.

Both agents specialize in aggressive site penetration, explaining their infrequent appearance together in team compositions. However, selecting either character substantially increases victory probabilities, especially for players mastering their distinctive playstyles. While alternative agents may show higher win rates in specific scenarios, Jett and Reyna offer lower skill floors while maintaining high skill ceilings, making them perfect for extended ranked sessions.

Common strategic errors include overextending without escape plans (Jett) or improperly timing soul orb usage (Reyna). Advanced optimization involves learning specific ability combinations for different map configurations and adapting playstyles based on defensive setups. For comprehensive agent mastery, consult our Class Guide to understand how different roles complement each other.

Jett typically excels on maps with vertical opportunities like Ascent and Bind, while Reyna dominates on close-quarters maps like Split and Haven where her duel-winning capabilities shine.

When utilizing support-oriented agents like Sage or Sova—who may demonstrate higher win rates in Platinum+ tiers—substantial team coordination becomes necessary for sustained victory streaks. In contrast, Jett and Reyna facilitate rapid progression through lower ranks while establishing consistent MMR growth. This durability explains why the duelist pair maintains competitive relevance years after their introduction.

While achieving target ranks using support characters remains possible, this approach typically involves slower, more methodical advancement. To maximize individual impact on matchmaking rating, selecting agents requiring minimal team support proves most effective, particularly for solo queue participants. Understanding weapon synergies through our Weapons Unlock guide can further enhance your performance with these agents.

For players transitioning between agent types, our Complete Guide provides essential transition strategies. Time investment for mastering these agents typically ranges from 15-25 hours for basic competency to 50+ hours for advanced optimization.

Action Checklist

  • Analyze your playstyle to determine whether Jett’s mobility or Reyna’s duel-winning better suits your approach
  • Practice essential ability combinations in Deathmatch before ranked play
  • Master 2-3 maps where your chosen agent excels, focusing on optimal ability placements
  • Review gameplay replays to identify positioning errors and ability misuse
  • Implement progressive difficulty training by starting in unrated, then competitive, then focusing on specific rank thresholds

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