This weird ARAM bug might give your team the same champion twice

League of Legends players recently encountered an unprecedented ARAM anomaly where duplicate champions appeared on the same team simultaneously. This programming flaw represents a significant departure from the game mode’s established champion selection protocols that have remained consistent since 2012.

Content creator Vandiril first documented this irregularity, showcasing compelling footage of a match featuring two Varus champions aligned together. For nearly a decade, ARAM’s design explicitly prevented identical champion selections within the same team composition. This technical glitch temporarily enabled players to experience unconventional team formations before developers implement necessary corrections.

What triggers this programming error remains undetermined, though evidence suggests connections to modifications introduced in update 11.8. Like most League patches, this release included ARAM-specific adjustments alongside broader game modifications. The VFX enhancements and balancing tweaks implemented appeared relatively minor on surface examination, yet somehow activated this unexpected system behavior.

Beyond the initial Varus duplication incident, additional reports emerged documenting similar occurrences. Brazilian server players witnessed Teemo appearing twice within one team composition, mirroring the earlier Varus scenario across different regional servers.

This technical malfunction surfaced shortly after Riot Games published an explanatory blog post detailing ARAM’s randomization mechanics. The development team clarified that champion selection operates through TeamBuilder technology, which tracks rerolled champions, bench availability, and current picks. This sophisticated system architecture typically ensures no two participants receive identical champions during selection phases.

“Simultaneous duplicate champion rerolls represent an impossibility within our current framework,” Riot’s statement emphasized. “TeamBuilder processes each reroll request sequentially rather than concurrently.”

Industry experts anticipate rapid deployment of a hotfix solution, given the clear unintentional nature of this champion duplication phenomenon. The bug’s emergence contradicts fundamental ARAM design principles that have governed the game mode since its introduction to the League ecosystem.

Is ARAM good for beginners?

All Random All Mid serves as an exceptional training ground for League newcomers due to its reduced competitive intensity compared to Summoner’s Rift matches. This condensed format enables participants to experiment with unfamiliar champions while honing essential combat fundamentals. However, ARAM doesn’t replicate the strategic map awareness or objective control required for traditional League gameplay. Novice players utilizing ARAM for practice primarily develop mechanical proficiency and champion familiarity rather than comprehensive game knowledge.

For optimal learning outcomes, beginners should focus on understanding ability rotations, positioning tactics, and teamfight coordination. Common mistakes include overextending without vision control and neglecting itemization adjustments based on team compositions. Advanced players can leverage ARAM for refining skillshot accuracy and rapid decision-making under constant engagement conditions.

Is every champion in ARAM?

The complete League of Legends champion roster remains accessible within ARAM matches. Participants receive randomized selections drawn from their personal champion collections combined with the current free rotation offerings. Gaining access to every available champion requires ownership of the entire character catalog, though free rotation provides substantial variety for most players.

Strategic reroll management becomes crucial for optimizing team compositions. Players should conserve rerolls for critical situations where team synergy depends on specific champion roles. Understanding champion availability patterns can significantly enhance strategic preparation for ARAM sessions.

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