Kled LoL Stats, Builds, Counters and Synergies

RiftMind tracks Kled champion stats by role, including win rate, pick rate, builds, counters, matchups, and synergies for League of Legends draft analysis.

Updated 2026-11-15. Data is current for LoL patch 26.22 (all regions, low elo and high elo).

Kled role performance snapshot

  1. Kled Top stats - Kled Top has 51.0% win rate, 1.4% pick rate, and 15,072 ranked games in the current RiftMind data set. Win rate changed -0.2 percentage points from the comparison patch. Pick rate changed +0.0 percentage points from the comparison patch.

Top 5 Low Elo Kled counter matchups

  1. Illaoi Top - Low Elo data: Kled Top vs Illaoi Top, 45.4% observed win rate, -3.7 percentage points vs expected, 1,011 games, 3-patch window 26.20-26.22.
  2. Volibear Top - Low Elo data: Kled Top vs Volibear Top, 49.2% observed win rate, -1.5 percentage points vs expected, 1,300 games, 3-patch window 26.20-26.22.
  3. Garen Top - Low Elo data: Kled Top vs Garen Top, 47.7% observed win rate, -1.4 percentage points vs expected, 1,875 games, 3-patch window 26.20-26.22.
  4. Darius Top - Low Elo data: Kled Top vs Darius Top, 49.6% observed win rate, -1.4 percentage points vs expected, 2,081 games, 3-patch window 26.20-26.22.
  5. Teemo Top - Low Elo data: Kled Top vs Teemo Top, 48.1% observed win rate, -1.1 percentage points vs expected, 1,324 games, 3-patch window 26.20-26.22.

Top 5 Low Elo champions Kled is good against

  1. Gangplank Top - Low Elo data: Kled Top vs Gangplank Top, 52.9% observed win rate, +1.3 percentage points vs expected, 1,428 games, 3-patch window 26.20-26.22.
  2. Malphite Top - Low Elo data: Kled Top vs Malphite Top, 50.5% observed win rate, +1.2 percentage points vs expected, 1,459 games, 3-patch window 26.20-26.22.
  3. Lux Support - Low Elo data: Kled Top vs Lux Support, 53.4% observed win rate, +1.1 percentage points vs expected, 2,910 games, 3-patch window 26.20-26.22.
  4. Yone Top - Low Elo data: Kled Top vs Yone Top, 52.2% observed win rate, +1.1 percentage points vs expected, 1,897 games, 3-patch window 26.20-26.22.
  5. Morgana Support - Low Elo data: Kled Top vs Morgana Support, 51.8% observed win rate, +0.9 percentage points vs expected, 1,763 games, 3-patch window 26.20-26.22.

Top 5 Low Elo Kled strongest synergies

  1. Malzahar Mid - 53.1% win rate with Kled Top (+0.7 points vs expected), 1,897 games.
  2. Vex Mid - 54.7% win rate with Kled Top (+0.7 points vs expected), 1,093 games.
  3. Viktor Mid - 54.7% win rate with Kled Top (+0.6 points vs expected), 1,606 games.
  4. Lissandra Mid - 52.4% win rate with Kled Top (+0.6 points vs expected), 1,185 games.
  5. Ahri Mid - 54.1% win rate with Kled Top (+0.5 points vs expected), 2,666 games.

Top 5 Low Elo Kled weakest synergies

  1. Yasuo Mid - 49.9% win rate with Kled Top (-1.5 points vs expected), 2,225 games.
  2. Yone Mid - 50.0% win rate with Kled Top (-1.2 points vs expected), 2,094 games.
  3. Zed Mid - 50.2% win rate with Kled Top (-0.9 points vs expected), 1,632 games.
  4. Samira ADC - 49.6% win rate with Kled Top (-0.7 points vs expected), 1,059 games.
  5. Aphelios ADC - 51.5% win rate with Kled Top (-0.5 points vs expected), 1,458 games.

Top 5 High Elo Kled counter matchups

  1. Fiora Top - High Elo data: Kled Top vs Fiora Top, 44.8% observed win rate, -3.0 percentage points vs expected, 1,027 games, 3-patch window 26.20-26.22.
  2. Yone Top - High Elo data: Kled Top vs Yone Top, 49.4% observed win rate, -1.9 percentage points vs expected, 1,462 games, 3-patch window 26.20-26.22.
  3. Ambessa Top - High Elo data: Kled Top vs Ambessa Top, 51.1% observed win rate, -1.5 percentage points vs expected, 1,054 games, 3-patch window 26.20-26.22.
  4. Garen Top - High Elo data: Kled Top vs Garen Top, 48.9% observed win rate, -1.1 percentage points vs expected, 1,100 games, 3-patch window 26.20-26.22.
  5. Rell Support - High Elo data: Kled Top vs Rell Support, 43.8% observed win rate, -1.1 percentage points vs expected, 1,006 games, 3-patch window 26.20-26.22.

Top 5 High Elo champions Kled is good against

  1. Malphite Top - High Elo data: Kled Top vs Malphite Top, 50.3% observed win rate, +1.5 percentage points vs expected, 1,098 games, 3-patch window 26.20-26.22.
  2. Ezreal ADC - High Elo data: Kled Top vs Ezreal ADC, 57.8% observed win rate, +1.4 percentage points vs expected, 2,791 games, 3-patch window 26.20-26.22.
  3. Olaf Top - High Elo data: Kled Top vs Olaf Top, 52.4% observed win rate, +1.4 percentage points vs expected, 1,270 games, 3-patch window 26.20-26.22.
  4. Camille Top - High Elo data: Kled Top vs Camille Top, 51.5% observed win rate, +1.0 percentage points vs expected, 1,341 games, 3-patch window 26.20-26.22.
  5. Jax Top - High Elo data: Kled Top vs Jax Top, 52.6% observed win rate, +0.8 percentage points vs expected, 1,567 games, 3-patch window 26.20-26.22.

Top 5 High Elo Kled strongest synergies

  1. Syndra Mid - 53.0% win rate with Kled Top (+0.8 points vs expected), 1,989 games.
  2. Seraphine Support - 53.6% win rate with Kled Top (+0.4 points vs expected), 1,356 games.
  3. Ashe ADC - 52.3% win rate with Kled Top (+0.4 points vs expected), 1,096 games.
  4. Lissandra Mid - 54.4% win rate with Kled Top (+0.3 points vs expected), 1,212 games.
  5. Viktor Mid - 50.0% win rate with Kled Top (+0.3 points vs expected), 1,693 games.

Top 5 High Elo Kled weakest synergies

  1. Yone Mid - 48.2% win rate with Kled Top (-0.7 points vs expected), 1,283 games.
  2. Zed Mid - 49.8% win rate with Kled Top (-0.5 points vs expected), 1,384 games.
  3. Yasuo Mid - 51.8% win rate with Kled Top (-0.5 points vs expected), 1,328 games.
  4. Tristana ADC - 50.7% win rate with Kled Top (-0.4 points vs expected), 1,719 games.
  5. Lucian ADC - 47.5% win rate with Kled Top (-0.4 points vs expected), 1,789 games.

How RiftMind calculates these stats

RiftMind calculates these statistics from Ranked Solo/Duo match records filtered by patch, region, rank scope, champion, and role.

Champion role, build, rune, and item summaries use patch-specific aggregates, while counter and synergy pages compare observed results with role-adjusted expectations over a rolling patch window.

Read the full methodology for the data filters and interpretation guidance.