PetiB's April 2025 Path Monthly Challenge Overview

PetiB's April 2025 Path Monthly Challenge

Table of Contents

• Overview
• Challenge Data: Champions & Usage
• Relics, Mutators & Bosses
• Ideal Lineups & Mutator Counters
• Monthly Relic Usage Survey
• Statistics & Averages
• Notes & References

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Overview

The April 2025 Path Monthly Challenge (Path Monthly) dataset curated by PetiB provides an expansive, data-rich view of player strategy, champion popularity, relative performance, and relic/mutator dynamics. The repository includes multiple interlinked tables: top champions by frequency, second-most-picked champions, total uses, per-player averages, and rank-based summaries. Additional sections cover mutator behavior, boss encounters, relic usage, and the composition of an Ideal Lineup across all stages. The data is organized into several blocks with cross-references to champions, relics, mutators, and star-level Constellations. Each block is designed to support deep analysis and reproducibility of insights from the event.

The original dataset contains over 100 tables, charts, and fields spanning dozens of champions, relays, and mutators. The extracted Markdown preserves the structure and key data points, including numeric metrics, percent shares, usage counts, and star-level annotations.

Challenge Data: Champions & Usage

The following data block presents the core ranking and champion-usage information for the April 2025 Path Monthly Challenge. It includes columns for Challenge, Most common %, 2nd most %, Champion (abc), Uses, Rank, Champion, Avg. uses / player. The first portion is shown below to illustrate the format and content. The full dataset is available in the embedded data dump under Data Tables.

Note: The dataset continues with rows 11 through 70, including additional champions and usage statistics. The values shown here reflect the precise formatting and data fields present in the source, including percent shares, usage counts, and per-player averages.

Relics, Mutators & Bosses

This section captures the Relic usage, mutator interactions, and boss-challenge data across multiple stages. It includes Mutator names, top counters, and the number of times players rely on relics across all stages. The data illustrates which relics were most effective against specific mutators and how often certain strategies appeared in top lineups. The section also summarizes Boss data for mid-boss and final-boss encounters, including top counters and the role of star-constellations in shaping outcomes.

• Mutator highlights include: Breakthrough Research, The Price Of Progress, Magic Number, Fortifications, Merciless Marksman, Savage Mysticism, Nautical Nuisance, Natural Magic, and more. Each mutator lists the top five counter champions and relics, as well as the number of times a given counter appeared as a first-choice for all stages.
• Bosses and Mutators: The data shows correlations between champion choices and mutator effects, with cycles of best counters across rounds. The Mutator section also provides a ranked list of the top 5 relics used per mutator and the frequency of their usage across all stages.

Ideal Lineups & Mutator Counters

The dataset includes several sections describing the “Ideal Lineup” at various stages, top relics used, and top champions used across all stages. This section presents an aggregated view of how the lineup was formed, including the top 5 relics, the top 20 most-used champions, and the relics that were least used in the ideal lineup. The sections below summarize notable patterns observed among players and the interplay between champion heartlines and artifact support.

• Top 5 relics used (and count) across all stages per champion
• Top 5 champs used (% - number of times as 1st choice for ALL stages, number of times as 2nd)
• Top 20 most used champs
• Unused champs in the Ideal Lineup

A compact view of the most relevant players and the champions they favored is given in the summary tables and charts within this section. The data shows how certain champions consistently appeared in top lineups, and which relics were common boosters of performance across stages.

Monthly Relic Usage Survey

This section catalogs the Relics used by champions across the April 2025 Path Monthly, detailing maximums per champion, counts, and which relics were most frequently chosen. The data includes per-champion breakdowns, as well as consolidated tables showing the total counts and the average relic usage per fight. The summary table below captures representative relic choices by champion.

• Example relics by champion: Echoing Spirit, The Grand General's Counterplan, Packed Powder, Hextech Rifle, Crownguard Inheritance, Perfect Hex Core, Luden's Tempest, The Beast Within, Found Fortune, Stalker's Blade, The Chameleon's Necklace.
• The dataset also lists the max counts and notes on convergence across the month to inform strategic decision-making.

Statistics & Averages

Key statistical summaries extracted from the dataset include:

• Avg. sum relic usage (max is 210): 155.78
• Avg. relics per fight: 2.23
• Winning round counts by round: 1 -> 5, 2 -> 18, 3 -> 35, 4 -> 18, 5 -> 14, 6 -> 9, 7 -> 4, 8 -> 1, 9 -> 1, 10 -> 0, 11 -> 0

These statistics provide a snapshot of how players navigated the challenges and how artifact choices influenced combat outcomes. The data indicates which relics and lineups frequently led to early victories and how the average relic usage per fight tracks against the maximum possible relics in the dataset.

Notes & References

• The data presented is a faithful transcription of the source dataset with anchor-ready headers and internal references where applicable.
• All numeric values reflect the original source and are included to support reproducibility and auditability of the results.
• The dataset includes multiple sections for mutators, bosses, and lineups, with cross-references across champions, relics, and mutators.

1. Data excerpt and tables reflect the April 2025 Path Monthly Challenge compilation.

2. The charts, tables, and mutator-champion counters are presented as-is to preserve fidelity.

3. If you need the full dataset beyond the excerpts shown here, please refer to the embedded data blocks in the source file or request a machine-readable export.