Dplus KIA Challengers vs T1 Academy — League of Legends Match Statistics

Dplus KIA Challengers vs T1 Academy

LoL LCK Challengers League Rounds 1-2

✔ FINISHED May 18, 2026 • 01:00 UTC-04:00

Game Scores

Detailed map-by-map statistics and halves performance breakdown.

Review the comprehensive game scores and individual round performance breakdowns between Dplus KIA Challengers and T1 Academy. This statistical scoreboard tracking captures regular halves data, overtime sequences, and aggregate totals for each selected game in the series.

Teams Game 1 Game 2 Game 3
Dplus KIA Challengers 13 - -
T1 Academy logo T1 Academy 16 - -

Dplus KIA Challengers vs T1 Academy

Match Statistics • May 18, 2026

Game #1

May 18, 2026 - 01:03 (UTC-04:00)

Dplus KIA Challengers
13
:
T1 Academy
16

Match Statistics - Game #1

Detailed game statistics for Game 1 between Dplus KIA Challengers and T1 Academy.

Review the comprehensive team performance metrics and head-to-head comparison for this esports showdown. This aggregate match telemetry highlights the strategic execution, objective control, and team combat efficiency between Dplus KIA Challengers and T1 Academy across all played maps.

Statistic Dplus KIA Challengers T1 Academy
Kills 13 16
Gold earned 64837 69259
Tower kills 2 8
Dragon kills 3 2
Nashor kills 0 1
Inhibitor kills 0 2
Cloud drake kills 0 1
Elder drake kills 0 0
Ocean drake kills 2 1
Hextech drake kills 0 0
Chemtech drake kills 0 0
Infernal drake kills 0 0
Mountain drake kills 1 0

Dplus KIA Challengers vs T1 Academy – Overview

This page presents detailed statistics for the League of Legends match between Dplus KIA Challengers and T1 Academy during LCK Challengers League Rounds 1-2 May 18, 2026. Review comprehensive performance metrics for each game in the series.

Statistics include kills, deaths, assists, gold difference over time, objective control, vision score, damage dealt, and team fight participation. Player breakdowns provide insights into laning performance and overall map impact.

Game-by-game statistics allow comparison of team compositions, objective control efficiency, and macro strategy execution. These metrics help explain momentum swings and decisive plays.

The statistics overview delivers structured esports data for deeper analysis of competitive League of Legends matches.