PantheonEslesmeler
League of Legends patch 26.3 Pantheon eşleşme verileri. Her Pantheon eşleşmesi için win rate, performans istatistikleri ve en iyi buildler. Pantheon\'in kimi yendiğini ve koridorda kime kaybettiğini öğrenin.
Pantheon Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Pantheon performs against them. You'll get head-to-head win rates, laning stats, the best build and runes for the matchup, and early vs late game analysis — all based on real ranked data.
Pantheon esleme verileri League of Legends 26.3 yamasi icin. Asagidaki tablo, mevcut metadaki her sampiyona karsi Pantheon'in kazanma oranini, altin farkini ve performans istatistiklerini gosterir. En iyi Pantheon buildi, runleri, koridor istatistikleri ve erken vs gec oyun analizini iceren ayrintili bir dokum icin herhangi bir sampiyon adina tiklayin.
Rakip | Kazanma oranı | Maçlar | CS/dk | Hasar/dk | Altin/mac | Erken KO | Gec KO |
|---|---|---|---|---|---|---|---|
| 51.14% | 176 | 1.9 | 686 | 11,135 | 49.3% | 52.4% | |
| 50.36% | 139 | 1.5 | 684 | 10,511 | 50.0% | 50.6% | |
| 49.22% | 128 | 1.7 | 686 | 10,521 | 55.2% | 44.3% | |
| 47.66% | 128 | 1.4 | 650 | 10,168 | 46.0% | 49.2% | |
| 44.09% | 127 | 1.5 | 676 | 10,057 | 45.2% | 43.1% | |
| 59.63% | 109 | 5.5 | 902 | 12,570 | 53.2% | 64.5% | |
| 51.46% | 103 | 1.7 | 717 | 11,140 | 53.2% | 50.0% | |
| 56.04% | 91 | 1.6 | 671 | 9,838 | 58.7% | 53.3% | |
| 54.76% | 84 | 5.5 | 934 | 11,431 | 50.0% | 60.0% | |
| 41.67% | 84 | 2.3 | 737 | 11,353 | 46.7% | 38.9% | |
| 35.37% | 82 | 1.6 | 694 | 10,951 | 40.5% | 31.1% | |
| 55.84% | 77 | 1.7 | 719 | 10,904 | 47.2% | 63.4% | |
| 44.16% | 77 | 1.6 | 667 | 10,648 | 56.8% | 32.5% | |
| 57.53% | 73 | 4.1 | 754 | 11,356 | 59.5% | 55.6% | |
| 45.83% | 72 | 2.5 | 803 | 11,065 | 42.4% | 48.7% | |
| 42.25% | 71 | 5.5 | 914 | 11,495 | 44.1% | 40.5% | |
| 53.52% | 71 | 1.6 | 613 | 9,440 | 63.2% | 42.4% | |
| 44.12% | 68 | 2.9 | 818 | 12,731 | 42.3% | 45.2% | |
| 40.30% | 67 | 1.6 | 650 | 9,995 | 43.8% | 37.1% | |
| 49.25% | 67 | 4.0 | 782 | 11,270 | 51.6% | 47.2% | |
| 52.31% | 65 | 2.9 | 911 | 11,561 | 57.1% | 48.6% | |
| 57.81% | 64 | 2.4 | 749 | 11,912 | 76.2% | 48.8% | |
| 43.75% | 64 | 1.5 | 781 | 11,513 | 60.0% | 33.3% | |
| 42.86% | 63 | 1.4 | 653 | 10,331 | 41.4% | 44.1% | |
| 41.94% | 62 | 1.1 | 734 | 12,733 | 39.3% | 44.1% | |
| 45.90% | 61 | 5.1 | 1,064 | 11,833 | 68.0% | 30.6% | |
| 37.70% | 61 | 1.6 | 676 | 11,239 | 22.7% | 46.1% | |
| 40.98% | 61 | 5.7 | 889 | 11,588 | 42.3% | 40.0% | |
| 53.33% | 60 | 1.9 | 755 | 11,813 | 50.0% | 56.3% | |
| 33.90% | 59 | 1.4 | 659 | 9,223 | 35.5% | 32.1% | |
| 58.62% | 58 | 1.6 | 718 | 11,385 | 50.0% | 65.6% | |
| 43.86% | 57 | 4.0 | 1,063 | 11,680 | 37.9% | 50.0% | |
| 46.43% | 56 | 1.6 | 645 | 10,508 | 46.4% | 46.4% | |
| 50.00% | 56 | 4.4 | 841 | 12,304 | 56.5% | 45.5% | |
| 61.82% | 55 | 4.8 | 1,001 | 12,091 | 66.7% | 56.0% | |
| 46.30% | 54 | 2.7 | 770 | 12,235 | 38.5% | 53.6% | |
| 50.94% | 53 | 5.9 | 997 | 12,359 | 50.0% | 52.2% | |
| 48.08% | 52 | 2.3 | 838 | 12,875 | 33.3% | 58.1% | |
| 51.92% | 52 | 5.5 | 915 | 11,908 | 42.9% | 58.1% | |
| 46.15% | 52 | 4.6 | 1,047 | 12,022 | 54.2% | 39.3% | |
| 53.85% | 52 | 1.4 | 610 | 10,271 | 52.0% | 55.6% | |
| 56.00% | 50 | 2.6 | 801 | 11,356 | 56.5% | 55.6% | |
| 54.00% | 50 | 5.4 | 846 | 11,235 | 48.0% | 60.0% | |
| 48.94% | 47 | 5.4 | 919 | 11,043 | 44.0% | 54.5% | |
| 48.89% | 45 | 1.2 | 727 | 12,555 | 46.7% | 50.0% | |
| 50.00% | 44 | 1.3 | 678 | 12,472 | 46.7% | 51.7% | |
| 54.55% | 44 | 4.3 | 850 | 12,708 | 42.1% | 64.0% | |
| 50.00% | 42 | 3.6 | 755 | 11,300 | 31.3% | 61.5% | |
| 53.66% | 41 | 2.6 | 713 | 11,116 | 43.8% | 60.0% | |
| 46.15% | 39 | 4.5 | 843 | 12,610 | 50.0% | 43.5% | |
| 53.85% | 39 | 5.2 | 814 | 10,654 | 61.9% | 44.4% | |
| 51.28% | 39 | 1.6 | 757 | 10,164 | 55.0% | 47.4% | |
| 52.63% | 38 | 2.2 | 791 | 10,694 | 54.5% | 50.0% | |
| 63.16% | 38 | 2.3 | 799 | 11,753 | 59.1% | 68.8% | |
| 37.84% | 37 | 3.9 | 836 | 11,700 | 21.4% | 47.8% | |
| 54.05% | 37 | 5.2 | 979 | 12,256 | 52.9% | 55.0% | |
| 64.86% | 37 | 5.0 | 920 | 10,518 | 57.9% | 72.2% | |
| 50.00% | 36 | 5.0 | 815 | 11,615 | 61.5% | 43.5% | |
| 54.29% | 35 | 4.0 | 866 | 12,890 | 58.3% | 52.2% | |
| 57.14% | 35 | 5.5 | 991 | 12,124 | 66.7% | 47.1% | |
| 52.94% | 34 | 3.9 | 771 | 11,818 | 42.9% | 60.0% | |
| 38.24% | 34 | 1.5 | 726 | 10,706 | 42.9% | 35.0% | |
| 55.88% | 34 | 5.0 | 963 | 11,835 | 62.5% | 50.0% | |
| 33.33% | 33 | 3.8 | 755 | 11,095 | 40.0% | 27.8% | |
| 68.75% | 32 | 3.2 | 940 | 11,908 | 78.6% | 61.1% | |
| 41.94% | 31 | 5.9 | 894 | 11,575 | 38.9% | 46.1% | |
| 54.84% | 31 | 1.5 | 737 | 11,563 | 54.5% | 55.0% | |
| 54.84% | 31 | 1.9 | 740 | 10,657 | 46.7% | 62.5% | |
| 45.16% | 31 | 1.0 | 683 | 12,719 | 50.0% | 42.1% | |
| 63.33% | 30 | 4.8 | 948 | 11,534 | 75.0% | 50.0% | |
| 51.72% | 29 | 1.5 | 739 | 12,234 | 60.0% | 50.0% | |
| 48.28% | 29 | 5.4 | 1,078 | 12,200 | 60.0% | 42.1% | |
| 42.86% | 28 | 1.0 | 723 | 12,471 | 33.3% | 53.9% | |
| 42.86% | 28 | 5.2 | 891 | 12,505 | 46.1% | 40.0% | |
| 71.43% | 28 | 5.0 | 982 | 12,929 | 83.3% | 62.5% | |
| 35.71% | 28 | 1.7 | 782 | 11,690 | 42.9% | 28.6% | |
| 42.86% | 28 | 4.6 | 828 | 10,445 | 50.0% | 30.0% | |
| 51.85% | 27 | 1.8 | 681 | 9,965 | 56.3% | 45.5% | |
| 55.56% | 27 | 5.8 | 806 | 11,098 | 50.0% | 60.0% | |
| 74.07% | 27 | 1.5 | 743 | 9,787 | 78.6% | 69.2% | |
| 57.69% | 26 | 5.4 | 856 | 11,764 | 54.5% | 60.0% | |
| 46.15% | 26 | 5.9 | 975 | 11,181 | 46.1% | 46.1% | |
| 43.48% | 23 | 1.5 | 735 | 10,528 | 55.6% | 35.7% | |
| 60.87% | 23 | 5.3 | 893 | 9,295 | 75.0% | 28.6% | |
| 59.09% | 22 | 1.1 | 739 | 12,303 | 64.3% | 50.0% | |
| 27.27% | 22 | 1.3 | 679 | 13,149 | 37.5% | 21.4% | |
| 59.09% | 22 | 1.2 | 691 | 12,719 | 62.5% | 57.1% | |
| 66.67% | 21 | 1.6 | 725 | 11,745 | 80.0% | 54.5% | |
| 76.19% | 21 | 1.2 | 714 | 11,956 | 88.9% | 66.7% | |
| 61.90% | 21 | 1.4 | 819 | 13,070 | 60.0% | 63.6% | |
| 60.00% | 20 | 1.3 | 735 | 12,155 | 62.5% | 58.3% | |
| 45.00% | 20 | 1.6 | 703 | 12,363 | 44.4% | 45.5% | |
| 30.00% | 20 | 5.1 | 740 | 10,212 | 28.6% | 33.3% | |
| 42.11% | 19 | 5.7 | 939 | 11,440 | 40.0% | 44.4% | |
| 31.58% | 19 | 4.4 | 636 | 10,752 | 20.0% | 44.4% | |
| 42.11% | 19 | 5.4 | 804 | 11,499 | 55.6% | 30.0% | |
| 44.44% | 18 | 3.0 | 851 | 12,623 | 60.0% | 25.0% | |
| 33.33% | 18 | 6.0 | 976 | 14,472 | 40.0% | 30.8% | |
| 55.56% | 18 | 4.6 | 858 | 11,903 | 62.5% | 50.0% | |
| 66.67% | 18 | 2.4 | 730 | 12,045 | 66.7% | 66.7% | |
| 55.56% | 18 | 5.1 | 792 | 11,093 | 50.0% | 60.0% | |
| 44.44% | 18 | 5.0 | 791 | 12,085 | 62.5% | 30.0% | |
| 52.94% | 17 | 4.5 | 850 | 11,518 | 28.6% | 70.0% | |
| 29.41% | 17 | 1.0 | 732 | 13,005 | 16.7% | 36.4% | |
| 29.41% | 17 | 5.5 | 901 | 12,731 | 20.0% | 33.3% | |
| 41.18% | 17 | 5.8 | 799 | 11,317 | 14.3% | 60.0% | |
| 52.94% | 17 | 3.4 | 884 | 11,361 | 50.0% | 53.9% | |
| 64.71% | 17 | 1.1 | 726 | 13,225 | 83.3% | 54.5% | |
| 52.94% | 17 | 2.2 | 725 | 11,656 | 50.0% | 55.6% | |
| 68.75% | 16 | 3.9 | 836 | 12,745 | 40.0% | 81.8% | |
| 68.75% | 16 | 0.8 | 730 | 12,749 | 66.7% | 70.0% | |
| 50.00% | 16 | 4.5 | 770 | 12,005 | 25.0% | 75.0% | |
| 40.00% | 15 | 3.7 | 682 | 9,872 | 37.5% | 42.9% | |
| 60.00% | 15 | 1.9 | 757 | 13,582 | 50.0% | 63.6% | |
| 21.43% | 14 | 1.6 | 843 | 12,471 | 11.1% | 40.0% | |
| 21.43% | 14 | 4.2 | 753 | 10,222 | 14.3% | 28.6% | |
| 50.00% | 14 | 5.6 | 1,025 | 10,843 | 44.4% | 60.0% | |
| 42.86% | 14 | 5.5 | 1,012 | 12,355 | 60.0% | 33.3% | |
| 53.85% | 13 | 1.2 | 650 | 11,853 | 66.7% | 50.0% | |
| 53.85% | 13 | 5.4 | 955 | 10,391 | 42.9% | 66.7% | |
| 46.15% | 13 | 1.8 | 700 | 12,263 | 33.3% | 50.0% | |
| 61.54% | 13 | 0.9 | 718 | 12,277 | 85.7% | 33.3% | |
| 75.00% | 12 | 5.3 | 787 | 10,580 | 83.3% | 66.7% | |
| 58.33% | 12 | 4.8 | 677 | 11,168 | 83.3% | 33.3% | |
| 58.33% | 12 | 3.4 | 773 | 11,530 | 60.0% | 57.1% | |
| 50.00% | 12 | 5.5 | 950 | 11,801 | 57.1% | 40.0% | |
| 58.33% | 12 | 5.1 | 766 | 11,845 | 40.0% | 71.4% | |
| 66.67% | 12 | 1.4 | 716 | 12,899 | 75.0% | 62.5% | |
| 36.36% | 11 | 4.6 | 783 | 12,650 | 0.0% | 66.7% | |
| 72.73% | 11 | 5.3 | 976 | 11,901 | 66.7% | 80.0% | |
| 54.55% | 11 | 1.9 | 926 | 14,978 | 33.3% | 62.5% | |
| 63.64% | 11 | 4.7 | 849 | 12,282 | 60.0% | 66.7% | |
| 50.00% | 10 | 5.4 | 773 | 11,894 | 50.0% | 50.0% | |
| 50.00% | 10 | 4.8 | 848 | 12,404 | 50.0% | 50.0% | |
| 50.00% | 10 | 4.0 | 1,050 | 14,487 | 100.0% | 44.4% | |
| 40.00% | 10 | 0.6 | 512 | 8,043 | 42.9% | 33.3% | |
| 50.00% | 10 | 4.4 | 754 | 12,299 | 66.7% | 42.9% | |
| 55.56% | 9 | 3.2 | 857 | 12,198 | 66.7% | 33.3% | |
| 33.33% | 9 | 4.2 | 680 | 13,072 | 33.3% | 33.3% | |
| 77.78% | 9 | 4.0 | 921 | 14,622 | 100.0% | 66.7% | |
| 44.44% | 9 | 1.5 | 730 | 10,940 | 25.0% | 60.0% | |
| 33.33% | 9 | 2.3 | 613 | 10,535 | 0.0% | 50.0% | |
| 44.44% | 9 | 4.3 | 625 | 9,987 | 80.0% | 0.0% | |
| 22.22% | 9 | 3.9 | 836 | 12,145 | 40.0% | 0.0% | |
| 62.50% | 8 | 5.0 | 769 | 10,070 | 50.0% | 75.0% | |
| 87.50% | 8 | 5.2 | 910 | 13,087 | 50.0% | 100.0% | |
| 50.00% | 8 | 1.3 | 847 | 16,621 | 0.0% | 57.1% | |
| 50.00% | 8 | 4.9 | 794 | 11,353 | 25.0% | 75.0% | |
| 57.14% | 7 | 1.7 | 707 | 12,486 | 0.0% | 66.7% | |
| 71.43% | 7 | 0.6 | 811 | 10,179 | 75.0% | 66.7% | |
| 42.86% | 7 | 4.9 | 748 | 10,556 | 75.0% | 0.0% | |
| 66.67% | 6 | 0.8 | 919 | 16,205 | 50.0% | 75.0% | |
| 16.67% | 6 | 2.3 | 808 | 9,520 | 0.0% | 33.3% | |
| 33.33% | 6 | 5.0 | 863 | 9,711 | 33.3% | 33.3% | |
| 33.33% | 6 | 4.3 | 908 | 15,764 | 0.0% | 50.0% | |
| 16.67% | 6 | 3.0 | 718 | 10,482 | 33.3% | 0.0% | |
| 66.67% | 6 | 3.4 | 987 | 11,978 | 66.7% | 66.7% | |
| 40.00% | 5 | 4.2 | 853 | 11,412 | 50.0% | 33.3% | |
Doğruluğu korumamıza yardım edin! Yanlış istatistikler, eksik veriler veya herhangi bir sorun fark ederseniz, geri bildiriminiz tüm topluluk için veri kalitemizi doğrudan iyileştirir.
Pantheon Matchups - Sik Sorulan Sorular
League of Legends'da Pantheon'in en iyi matchuplari nelerdir?
Pantheon'in patch 26.3'daki en iyi matchuplari Lux, Seraphine, and Morgana'i icerir. Pantheon bu sampiyonlara karsi en yuksek kazanma oranina sahiptir ve onlarla karsilatiginda lane'i domine edebilir. Ayrintili istatistikleri gormek icin matchup tablosundan herhangi bir rakibi secin.
Pantheon'in en kotu matchuplari nelerdir?
Pantheon'in en kotu matchuplari Jhin, Ezreal, and Zac'i icerir. Bu sampiyonlar Pantheon'e karsi avantajli kazanma oranlarina sahiptir ve Pantheon'in lane'deki zayifliklarini kullanabilir. Tam matchup analizini gormek icin tablodaki bir sampiyon adina tiklayin.
Pantheon matchup verilerini nasil kontrol ederim?
Pantheon matchup verilerini tam burada bu sayfada kontrol edebilirsiniz. Matchup tablosu her sampiyona karsi kazanma oranlari ve istatistikleri gosterir. Bu ozel Pantheon matchupu icin en iyi build, runeler, lane istatistikleri ve erken vs gec oyun analizini iceren ayrintili bir doekum gormek icin herhangi bir sampiyon adina tiklayin.
League of Legends'da Pantheon kimi counter yapar?
Pantheon patch 26.3'da Lux, Seraphine, and Morgana'i counter yapar. Bunlar Pantheon'in en yuksek kazanma oranlari ve en guclu lane performansina sahip oldugu en avantajli matchuplaridir. Herhangi bir ozel Pantheon matchupunu ayrintili olarak kesfetmek icin yukaridaki matchup seciciyi kullanin.
Lane'de Pantheon'i kim counter yapar?
Jhin, Ezreal, and Zac patch 26.3 sirasinda lane'de Pantheon'i counter yapar. Bu sampiyonlar Pantheon'e karsi en iyi kazanma oranlarina sahiptir. Ayrintili matchup stratejilerini ve onerilen buildleri gormek icin counters sekmesine bakin veya tablodaki bir sampiyona tiklayin.