League of Legends Team Rankings July 2026 – EGamersWorld Rating System

Welcome to the definitive source for League of Legends team rankings. The Global Power Score provides an objective, data-driven measure of competitive strength across all major regions. This page offers an accurate, real-time snapshot of the global professional League scene among all competitive circuits — LCK, LPL, LEC, LCS, LCP, and more.

How Do We Calculate LoL Teams Ranking

Our LoL power rankings utilizes custom-built algorithms with their own data to deliver the most accurate pro scene standings. The rating highlights a team’s true competitive potential — not temporary results or streaks of luck.

At the end of the day, what truly matters is who you beat and where you beat them. A victory at the World Championship carries more meaning than a routine regular-season match, which is why international results hold the most weight.

Weighted Event Significance

The value assigned to any match result is directly proportional to its competitive significance. International tournaments like LoL Worlds and MSI carry the highest weighting (K-Factor), followed by major regional playoffs (LCK, LPL, LEC, LCS). This ensures that a team’s performance on the global stage has a greater impact on their Global Power Score than domestic wins.

LoL Events and Tournaments: Global Competitive Calendar

Every great ranking begins with great tournaments. In our LoL events section, you can explore the full calendar of professional competitions that feed into the Global Power Score — from global stages like Worlds and MSI to regional leagues such as LCK, LPL, LEC, and LCS.

Each event contributes unique weighting to the ranking model, reflecting its prestige, format, and level of competition. This interconnected structure ensures that every result, no matter where it occurs, is placed in a proper global context.

Strength of Opponent Analysis

This League Teams Ranking uses an Elo-inspired model that rewards teams more heavily for defeating strong opponents.

Likewise, a loss to a lower-ranked team results in a more notable rating drop. This method reflects the true difficulty of a team’s competitive path.

Recency Bias for Form Assessment

To capture the current LoL pro team standings, the most recent matches carry greater influence.

This “recency bias” highlights teams in top form or those going through a slump, keeping rankings up to date and resistant to outdated results.

LoL Matches: Real-Time Competitive Results

Follow every team’s progress as it happens through our LoL matches hub. It provides live, upcoming, and past match data across all regions — including scorelines, schedules, and match histories that directly influence each team’s position in the League of Legends team rankings.

This integration between match performance and power score ensures that updates are immediate and transparent, giving fans and analysts an authentic view of the current competitive balance.

Competitive Breadth: Integrating All Tier-1 League Results

Our Global Power Score combines data from every Tier-1 professional circuit worldwide.This approach ensures that no successful team is overlooked, regardless of region, and allows for fair, consistent LoL power rankings updates across all major leagues.

Tracking Major Leagues (LPL, LCK, LEC, LCS)

The ranking system continuously updates with results from all leading League of Legends regions.

Among them, the LCK (Korea) and LPL (China) currently hold the highest base weighting due to their long-term dominance at international tournaments. Since 2011, teams from these two regions have won nearly all LoL Worlds and MSI titles — making their domestic results statistically stronger indicators of global competitiveness.

Meanwhile, results from LEC (Europe) and LCS (North America) are analyzed within the same model, calibrated through interregional matches at MSI and Worlds, ensuring balanced evaluation across the entire ecosystem.

The Importance of Dynamic Regional Rating

To maintain fairness, each team’s rating is constantly adjusted relative to the average strength of the regions it competes against.

This dynamic weighting prevents inflated scores based solely on local dominance and provides a realistic projection of how a team might perform on the LoL Worlds stage.