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data-center-system

Centralize player performance data collection, storage, and analysis for MVP calculations.

2|Updated Feb 7, 2026
Search Tags:#data-analytics#rankings#tournaments#market-value#player-stats#season-stats#mvps
One-click install
npx skills add https://github.com/Showiix/EsportManager2 --skill data-center-system
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-center-system
Source: https://github.com/Showiix/EsportManager2/tree/main/.claude/skills/data-center-system
Command: npx skills add https://github.com/Showiix/EsportManager2 --skill data-center-system

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data Center System centralizes collection, storage, and analysis of player performance data to support the honors system, MVP calculations, season evaluations, and market value tracking.

Core Features & Use Cases

  • Data collection & storage: Persist per-game and per-season statistics for players and teams.
  • Ranking & awards: Compute season impact rankings, position-based rankings, and MVP candidacy data.
  • Market value tracking: Track changes in player value driven by performance, championships, and activity.

Quick Start

Set up the data center to start collecting, storing, and analyzing player performance across seasons and tournaments to drive MVP calculations and market-value updates.

Frequently Asked Questions about data-center-system

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I centralize player stats to calculate MVP candidates and track market value?▼

Centralizing player stats involves collecting per-game and per-season performance data to compute MVP candidacy, generate rankings, and track market-value changes. This system exposes repository methods and Tauri commands for recording performances and querying award candidates.

How does computing season impact rankings work with player performance data?▼

Computing season impact rankings aggregates stored player performance data across seasons and tournaments to generate position-based rankings. It recombines yearly scores and regional title data into ranking items and award candidate lists.

Can I use Tauri commands to record per-game player statistics and recompute yearly scores?▼

Yes, the data center exposes Tauri commands for recording per-game player statistics and recomputing yearly scores. These commands interact directly with repository methods handling PlayerSeasonStatistics and PlayerTournamentStats.

Do I need tournament data to track player market value changes accurately?▼

Yes, tournament data is essential for tracking market value changes accurately. The system evaluates regional and international titles, season totals, and player activity to generate market-value trends alongside MVP calculations.

What's the best way to manage player performance data for season evaluations and awards?▼

The best way to manage player performance data is centralizing collection and storage of per-game statistics and season totals. This approach supports honors system calculations, MVP evaluations, and position-based ranking computations.

Does the data center handle both season totals and regional tournament stats?▼

Yes, the data center handles both season totals and regional tournament stats. It persists PlayerSeasonStatistics and PlayerTournamentStats, applying data across seasons and tournaments to generate ranking items and market-value trends.

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