
- Siegesrate
- 49.2%
- Pickrate
- 9.8%
Elektrisieren Beste Champions
- Patch
- 26.20
- Spiele mit Rune
- 64.306
- Lane
- Alle Lanes
- Tier
- Alle Tiers
- Zuletzt aktualisiert
- 15. Okt. 2026 UTC
- Methodik
- Datenmethodik
- Autor
- Dakota Chinnick
Schaden: 70–240 (+0.1 zusätzlicher Angriffsschaden, + 0.05 Fähigkeitsstärke) Schaden.
Abklingzeit: 20 Sekunden
„Wir nannten sie die Donnerfürsten, weil die bloße Erwähnung ihrer Blitze grenzenloses Unheil heraufbeschwören konnte.“
- Runenbaum
- Dominanz · Schlüsselstein
- Abklingzeit
- 20s
- Siegesrate
- 49.2%−0.2 vs. Reihenschnitt
- Pickrate
- 9.8%
- Bester Champion
- Fizz · 52.2%
- Am meisten gespielt von
- Ahri
Beste Champions für Elektrisieren
Patch 26.20 · Alle RängeFizz führt mit 52.2% Siegesrate mit Elektrisieren; 66 Champions spielen die Rune in diesem Patch.
- 1
FizzMid52.2% mit Rune−0.3 vs. Championschnitt3.734 Spiele - 2
NaafiriMid54.2% mit Rune+3.2 vs. Championschnitt286 Spiele - 3
AuroraTop54.1% mit Rune+0.6 vs. Championschnitt268 Spiele
Sortiert nach Siegesrate mit der Rune, bereinigt um die Stichprobengröße: Kleine Stichproben werden zum Runendurchschnitt gezogen, damit ein Champion mit ein paar Dutzend glücklichen Spielen nicht ganz oben landet. Als bester Champion gilt nur, wer 200+ Spiele hat.
Alle Champions, die Elektrisieren nehmen
140 Champion- und Lane-Kombinationen mit 30+ Spielen. Suche einen Champion oder filtere nach Lane und Tier.
Rang | Champion | Lane | Tier | Siegesrate | Δ SR | Nutzungsanteil | Spiele | Top Runen Build |
|---|---|---|---|---|---|---|---|---|
| 1 | Support | S | 64.0% | +3.1 | 58.7% | 111 | ||
| 2 | Top | S | 59.3% | +2.5 | 50.4% | 118 | — | |
| 3 | Mid | S | 52.2% | -0.3 | 91.8% | 3.734 | — | |
| 4 | Mid | S | 55.4% | +0.5 | 82.8% | 193 | — | |
| 5 | Mid | S | 54.2% | +3.2 | 33.0% | 286 | ||
| 6 | Top | S | 54.1% | +0.6 | 89.6% | 268 | ||
| 7 | Mid | S | 51.9% | +1.2 | 57.0% | 1.265 | — | |
| 8 | Top | S | 62.1% | +11.3 | 30.1% | 58 | ||
| 9 | Mid | S | 53.2% | +3.5 | 44.0% | 329 | — | |
| 10 | Jungle | S | 52.4% | +1.0 | 59.7% | 519 | ||
| 11 | Jungle | S | 53.2% | +0.2 | 58.2% | 280 | — | |
| 12 | Support | S | 59.1% | +10.0 | 10.0% | 66 | — | |
| 13 | Mid | S | 51.2% | -0.2 | 86.4% | 2.096 | ||
| 14 | Mid | S | 51.6% | -0.5 | 71.7% | 777 | — | |
| 15 | Mid | S | 52.0% | +2.3 | 60.5% | 442 | — | |
| 16 | ADC | S | 58.7% | -1.8 | 88.7% | 63 | ||
| 17 | Jungle | S | 56.6% | +5.9 | 2.8% | 76 | — | |
| 18 | Mid | S | 53.4% | -1.3 | 53.1% | 163 | — | |
| 19 | Mid | S | 50.8% | -0.2 | 81.8% | 4.717 | ||
| 20 | Support | S | 54.1% | +3.7 | 3.1% | 122 | — | |
| 21 | Mid | S | 56.7% | +1.3 | 56.3% | 67 | — | |
| 22 | Support | A | 63.3% | +9.3 | 60.0% | 30 | — | |
| 23 | Support | A | 53.3% | +1.8 | 5.7% | 135 | — | |
| 24 | Mid | A | 51.4% | -0.1 | 10.0% | 442 | — | |
| 25 | Mid | A | 51.0% | +0.8 | 50.9% | 590 | ||
| 26 | Support | A | 51.1% | +0.6 | 22.0% | 509 | — | |
| 27 | Mid | A | 52.5% | +3.5 | 12.6% | 162 | — | |
| 28 | Support | A | 52.0% | +0.0 | 44.4% | 200 | ||
| 29 | Jungle | A | 52.0% | +1.1 | 16.2% | 202 | — | |
| 30 | ADC | A | 53.2% | -1.9 | 9.3% | 109 | — | |
| 31 | Jungle | A | 51.8% | +1.3 | 13.4% | 195 | — | |
| 32 | Top | A | 57.9% | +9.9 | 4.1% | 38 | — | |
| 33 | Top | A | 53.8% | +3.9 | 5.6% | 80 | — | |
| 34 | Top | A | 53.6% | +2.0 | 67.7% | 84 | — | |
| 35 | Support | A | 52.7% | +1.8 | 1.6% | 110 | — | |
| 36 | Jungle | A | 52.6% | +1.4 | 17.7% | 116 | — | |
| 37 | Mid | A | 50.3% | +0.8 | 58.2% | 1.883 | — | |
| 38 | Support | A | 50.4% | +0.1 | 44.4% | 1.265 | — | |
| 39 | ADC | A | 57.6% | +3.0 | 75.0% | 33 | — | |
| 40 | Top | A | 53.1% | +2.7 | 52.9% | 64 | ||
| 41 | Mid | A | 56.3% | +8.0 | 57.1% | 32 | — | |
| 42 | Mid | A | 50.5% | +0.3 | 13.9% | 273 | — | |
| 43 | Mid | A | 50.1% | +0.6 | 75.0% | 971 | ||
| 44 | Mid | A | 50.2% | +0.8 | 22.0% | 512 | — | |
| 45 | Top | A | 50.2% | +1.0 | 68.7% | 406 | ||
| 46 | Jungle | A | 52.1% | +3.5 | 2.5% | 73 | — | |
| 47 | Mid | A | 52.7% | +1.5 | 1.5% | 55 | — | |
| 48 | Support | A | 53.1% | -0.4 | 67.1% | 49 | ||
| 49 | Mid | A | 49.9% | -3.2 | 28.6% | 971 | — | |
| 50 | Mid | A | 49.8% | -0.2 | 92.4% | 1.356 | ||
| 51 | Jungle | A | 52.4% | -0.3 | 1.6% | 42 | — | |
| 52 | Support | A | 51.0% | +1.7 | 78.5% | 51 | ||
| 53 | Top | A | 51.4% | -2.0 | 82.2% | 37 | ||
| 54 | Support | A | 49.4% | +0.0 | 84.7% | 1.448 | ||
| 55 | Mid | A | 49.4% | +0.5 | 85.9% | 2.181 | ||
| 56 | Support | A | 50.0% | +2.4 | 3.9% | 38 | — | |
| 57 | ADC | B | 50.0% | +1.7 | 62.1% | 36 | ||
| 58 | Mid | B | 49.3% | +1.0 | 72.4% | 1.212 | ||
| 59 | Jungle | B | 49.3% | -0.1 | 85.6% | 1.320 | ||
| 60 | Jungle | B | 49.1% | -0.4 | 2.4% | 57 | — | |
| 61 | Support | B | 49.0% | +0.4 | 70.8% | 51 | ||
| 62 | Support | B | 48.9% | -0.8 | 0.8% | 47 | — | |
| 63 | Top | B | 49.2% | -0.7 | 76.8% | 1.014 | ||
| 64 | Jungle | B | 48.9% | +0.3 | 3.4% | 90 | — | |
| 65 | Top | B | 48.8% | -1.3 | 4.7% | 82 | — | |
| 66 | Support | B | 48.3% | -2.0 | 0.8% | 58 | — | |
| 67 | Mid | B | 48.2% | -0.6 | 65.1% | 56 | — | |
| 68 | ADC | B | 48.1% | -3.3 | 12.1% | 52 | — | |
| 69 | Top | B | 49.0% | +0.2 | 66.1% | 649 | — | |
| 70 | Top | B | 47.8% | +0.8 | 34.3% | 46 | — | |
| 71 | Jungle | B | 49.0% | +0.2 | 52.9% | 847 | ||
| 72 | Mid | B | 49.0% | -0.2 | 52.1% | 1.846 | — | |
| 73 | Jungle | B | 46.9% | -2.4 | 1.0% | 32 | — | |
| 74 | Top | B | 48.0% | +1.0 | 18.5% | 75 | — | |
| 75 | Top | B | 47.1% | -0.4 | 86.4% | 51 | ||
| 76 | Top | B | 46.9% | -3.4 | 9.2% | 49 | — | |
| 77 | Support | B | 46.2% | -4.9 | 0.8% | 39 | — | |
| 78 | Top | B | 45.7% | -5.7 | 0.7% | 35 | — | |
| 79 | Jungle | B | 48.3% | -4.7 | 4.2% | 203 | — | |
| 80 | Mid | B | 47.0% | -3.7 | 21.7% | 66 | — | |
| 81 | Mid | B | 45.0% | +1.6 | 48.2% | 40 | — | |
| 82 | Top | B | 46.6% | -3.4 | 38.4% | 73 | — | |
| 83 | ADC | B | 43.8% | +0.5 | 86.5% | 32 | ||
| 84 | Jungle | B | 47.1% | +2.8 | 25.7% | 104 | ||
| 85 | Support | B | 48.1% | -0.4 | 77.8% | 295 | — | |
| 86 | ADC | B | 45.6% | -5.6 | 69.5% | 57 | ||
| 87 | Support | B | 47.8% | +0.7 | 80.1% | 209 | — | |
| 88 | Mid | B | 45.3% | -2.7 | 29.9% | 53 | — | |
| 89 | Mid | B | 48.6% | +0.2 | 91.7% | 3.700 | ||
| 90 | Mid | B | 45.1% | -0.4 | 66.2% | 51 | — | |
| 91 | Jungle | B | 46.3% | -4.5 | 17.3% | 82 | — | |
| 92 | Top | B | 41.9% | -2.6 | 30.7% | 31 | — | |
| 93 | Support | B | 45.5% | -7.2 | 69.5% | 66 | ||
| 94 | Mid | B | 47.0% | +4.9 | 37.9% | 134 | — | |
| 95 | Mid | B | 46.4% | -7.1 | 29.5% | 97 | — | |
| 96 | Support | B | 47.6% | -4.3 | 4.2% | 229 | — | |
| 97 | Mid | B | 48.4% | -0.0 | 90.4% | 3.409 | ||
| 98 | Top | B | 42.9% | -6.1 | 9.1% | 42 | — | |
| 99 | Support | B | 42.5% | -5.0 | 33.3% | 40 | — | |
| 100 | ADC | B | 41.2% | -7.3 | 51.5% | 34 | — | |
| 101 | Jungle | B | 47.5% | -0.2 | 20.5% | 282 | ||
| 102 | Support | B | 45.6% | -3.9 | 4.7% | 90 | — | |
| 103 | Mid | B | 48.3% | +0.1 | 97.7% | 2.542 | ||
| 104 | Jungle | B | 47.8% | -1.9 | 23.3% | 467 | — | |
| 105 | Jungle | B | 44.4% | -0.2 | 25.1% | 72 | — | |
| 106 | ADC | C | 38.7% | -6.9 | 0.6% | 31 | — | |
| 107 | Support | C | 40.9% | -7.0 | 36.4% | 44 | — | |
| 108 | Support | C | 43.3% | +1.8 | 60.4% | 67 | — | |
| 109 | Top | C | 39.5% | -2.6 | 66.7% | 38 | ||
| 110 | Mid | C | 46.4% | -1.6 | 85.3% | 192 | ||
| 111 | Support | C | 43.9% | -4.6 | 11.3% | 82 | — | |
| 112 | Top | C | 41.8% | -7.4 | 21.5% | 55 | — | |
| 113 | Top | C | 46.6% | -2.7 | 16.1% | 232 | — | |
| 114 | Mid | C | 39.0% | -9.7 | 3.6% | 41 | — | |
| 115 | Jungle | C | 47.0% | -1.5 | 16.6% | 400 | ||
| 116 | Top | C | 40.4% | -5.2 | 45.6% | 57 | ||
| 117 | Support | C | 39.2% | -0.5 | 81.0% | 51 | — | |
| 118 | Support | C | 46.1% | +0.5 | 88.5% | 293 | ||
| 119 | Top | C | 43.5% | -5.5 | 4.5% | 115 | — | |
| 120 | Support | C | 46.1% | -1.2 | 23.2% | 306 | — | |
| 121 | Mid | C | 43.4% | -2.8 | 19.0% | 113 | — | |
| 122 | Jungle | C | 45.7% | -3.9 | 13.8% | 278 | — | |
| 123 | Support | C | 45.0% | -3.0 | 8.5% | 211 | — | |
| 124 | Mid | C | 47.1% | -2.8 | 37.2% | 1.625 | — | |
| 125 | Top | C | 38.3% | -7.5 | 45.8% | 60 | — | |
| 126 | Mid | C | 46.3% | -3.4 | 18.5% | 598 | — | |
| 127 | Mid | C | 32.5% | -13.4 | 1.6% | 40 | — | |
| 128 | Support | C | 44.0% | -0.3 | 65.2% | 184 | — | |
| 129 | Jungle | C | 46.0% | -0.2 | 10.5% | 506 | — | |
| 130 | Jungle | C | 38.2% | -4.1 | 8.8% | 68 | — | |
| 131 | Support | C | 31.8% | -4.4 | 75.9% | 44 | — | |
| 132 | Mid | C | 34.0% | -14.6 | 3.0% | 53 | — | |
| 133 | ADC | C | 43.6% | -3.3 | 7.0% | 291 | — | |
| 134 | ADC | C | 36.1% | +1.5 | 79.8% | 83 | ||
| 135 | Mid | C | 23.1% | -19.6 | 14.3% | 39 | — | |
| 136 | Jungle | C | 40.3% | -6.2 | 24.9% | 216 | — | |
| 137 | Top | C | 36.3% | -3.6 | 78.5% | 124 | ||
| 138 | Support | C | 42.1% | -6.0 | 11.3% | 394 | — | |
| 139 | Jungle | C | 41.0% | -4.2 | 15.2% | 395 | — | |
| 140 | Mid | C | 43.3% | -0.5 | 84.2% | 1.397 | — | |
Champions, die fast immer Elektrisieren nehmen
LeBlanc nimmt Elektrisieren in 98% seiner Spiele. Ein hoher Nutzungsanteil bedeutet, dass die Rune für diesen Champion Standard ist.
Champion-Tiers für Elektrisieren
Alle Champions, die Elektrisieren nehmen, gruppiert nach ihrer stichprobenbereinigten Siegesrate mit der Rune (S = beste 15%).
Sichere dir den entscheidenden Vorteil
Echtzeit-Overlays, automatisches Match-Tracking und exklusive Tools — alles, was du zum Klettern brauchst, kostenlos auf deinem PC.
- In-Game-Overlays
- Automatisches Match-Tracking
- Exklusive Desktop-Tools
Help us maintain accuracy! If you notice incorrect stats, missing data, or any issues, your feedback directly improves the quality of our data for the entire community.
FAQ zu den besten Champions für Elektrisieren – Patch 26.20
Welche Champions sind in Patch 26.20 am besten mit Elektrisieren?
Nach Siegesrate mit Elektrisieren: Fizz (52.2%), Naafiri (54.2%), Aurora (54.1%). 66 Champions spielen die Rune in diesem Patch.
Welche Champions nutzen Elektrisieren am häufigsten?
Die meisten Spiele mit Elektrisieren: Ahri (4.717), Fizz (3.734), Akali (3.700).
Auf welcher Lane wird Elektrisieren gespielt?
Elektrisieren wird meist auf Mid gespielt (66.4% ihrer Spiele).
Welcher Champion nimmt Elektrisieren am konsequentesten?
LeBlanc nimmt Elektrisieren in 98% seiner Spiele – der höchste Wert unter den 66 Champions, die sie nutzen.