
PoppyEslesmeler
League of Legends patch 26.3 Poppy eşleşme verileri. Her Poppy eşleşmesi için win rate, performans istatistikleri ve en iyi buildler. Poppy\'in kimi yendiğini ve koridorda kime kaybettiğini öğrenin.
Poppy Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Poppy 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.

Poppy esleme verileri League of Legends 26.3 yamasi icin. Asagidaki tablo, mevcut metadaki her sampiyona karsi Poppy'in kazanma oranini, altin farkini ve performans istatistiklerini gosterir. En iyi Poppy 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 |
|---|---|---|---|---|---|---|---|
| 53.54% | 99 | 1.3 | 488 | 9,497 | 46.3% | 58.6% | |
| 56.47% | 85 | 1.4 | 508 | 10,038 | 58.1% | 55.6% | |
| 48.05% | 77 | 1.2 | 462 | 9,634 | 43.8% | 51.1% | |
| 55.84% | 77 | 1.3 | 493 | 9,587 | 60.6% | 52.3% | |
| 38.89% | 72 | 1.4 | 490 | 9,177 | 43.2% | 34.3% | |
| 67.21% | 61 | 1.3 | 573 | 10,609 | 65.5% | 68.8% | |
| 54.24% | 59 | 1.3 | 520 | 10,384 | 61.5% | 48.5% | |
| 44.83% | 58 | 2.4 | 635 | 9,535 | 40.7% | 48.4% | |
| 52.63% | 57 | 1.4 | 515 | 9,978 | 54.2% | 51.5% | |
| 42.11% | 57 | 1.3 | 486 | 9,391 | 50.0% | 35.5% | |
| 44.00% | 50 | 2.5 | 613 | 10,379 | 43.5% | 44.4% | |
| 63.83% | 47 | 1.2 | 461 | 9,192 | 65.2% | 62.5% | |
| 48.94% | 47 | 1.4 | 463 | 8,886 | 59.1% | 40.0% | |
| 43.48% | 46 | 0.8 | 595 | 12,724 | 43.8% | 43.3% | |
| 38.64% | 44 | 1.4 | 459 | 8,729 | 50.0% | 29.2% | |
| 40.91% | 44 | 4.9 | 806 | 10,575 | 40.9% | 40.9% | |
| 45.45% | 44 | 4.2 | 847 | 11,586 | 61.1% | 34.6% | |
| 45.24% | 42 | 3.9 | 774 | 10,646 | 45.5% | 45.0% | |
| 38.46% | 39 | 1.3 | 521 | 9,358 | 50.0% | 30.4% | |
| 36.84% | 38 | 1.7 | 562 | 10,259 | 23.1% | 44.0% | |
| 50.00% | 38 | 1.3 | 568 | 9,126 | 53.9% | 41.7% | |
| 59.46% | 37 | 1.1 | 500 | 10,026 | 68.8% | 52.4% | |
| 50.00% | 34 | 3.6 | 960 | 11,423 | 60.0% | 45.8% | |
| 50.00% | 34 | 6.0 | 805 | 11,380 | 43.8% | 55.6% | |
| 55.88% | 34 | 5.8 | 900 | 11,401 | 64.7% | 47.1% | |
| 61.76% | 34 | 5.0 | 831 | 10,580 | 56.3% | 66.7% | |
| 58.82% | 34 | 1.1 | 505 | 9,205 | 60.0% | 57.1% | |
| 45.45% | 33 | 1.2 | 539 | 10,586 | 50.0% | 43.5% | |
| 42.42% | 33 | 3.8 | 742 | 11,946 | 40.0% | 43.5% | |
| 51.52% | 33 | 5.3 | 718 | 10,673 | 42.9% | 57.9% | |
| 65.63% | 32 | 1.3 | 540 | 9,781 | 69.2% | 63.2% | |
| 58.06% | 31 | 4.7 | 604 | 10,214 | 58.8% | 57.1% | |
| 38.71% | 31 | 1.3 | 419 | 8,357 | 40.0% | 36.4% | |
| 37.93% | 29 | 1.6 | 470 | 10,038 | 45.5% | 33.3% | |
| 50.00% | 28 | 1.1 | 499 | 9,216 | 46.7% | 53.9% | |
| 62.96% | 27 | 5.8 | 754 | 10,344 | 53.3% | 75.0% | |
| 53.85% | 26 | 5.2 | 698 | 11,122 | 44.4% | 58.8% | |
| 57.69% | 26 | 1.6 | 478 | 10,327 | 40.0% | 68.8% | |
| 53.85% | 26 | 1.4 | 475 | 9,363 | 50.0% | 58.3% | |
| 52.00% | 25 | 5.7 | 885 | 11,315 | 60.0% | 40.0% | |
| 33.33% | 24 | 5.2 | 840 | 10,886 | 36.4% | 30.8% | |
| 43.48% | 23 | 5.8 | 749 | 10,685 | 75.0% | 26.7% | |
| 52.17% | 23 | 1.0 | 661 | 12,353 | 60.0% | 46.1% | |
| 43.48% | 23 | 2.0 | 564 | 11,862 | 44.4% | 42.9% | |
| 40.91% | 22 | 4.6 | 560 | 12,081 | 57.1% | 33.3% | |
| 50.00% | 22 | 6.1 | 754 | 12,241 | 62.5% | 42.9% | |
| 36.36% | 22 | 2.0 | 609 | 11,500 | 22.2% | 46.1% | |
| 63.64% | 22 | 1.4 | 550 | 9,584 | 71.4% | 60.0% | |
| 54.55% | 22 | 1.4 | 449 | 9,166 | 50.0% | 58.3% | |
| 50.00% | 22 | 5.6 | 760 | 9,588 | 58.3% | 40.0% | |
| 50.00% | 22 | 1.3 | 528 | 9,793 | 45.5% | 54.5% | |
| 47.62% | 21 | 4.4 | 847 | 10,163 | 33.3% | 58.3% | |
| 38.10% | 21 | 2.4 | 712 | 11,276 | 40.0% | 36.4% | |
| 47.62% | 21 | 4.9 | 722 | 11,165 | 55.6% | 41.7% | |
| 52.38% | 21 | 1.7 | 496 | 9,872 | 75.0% | 22.2% | |
| 65.00% | 20 | 1.3 | 677 | 11,966 | 77.8% | 54.5% | |
| 57.89% | 19 | 2.1 | 628 | 11,317 | 50.0% | 61.5% | |
| 63.16% | 19 | 6.2 | 864 | 11,998 | 66.7% | 60.0% | |
| 63.16% | 19 | 3.8 | 745 | 10,995 | 77.8% | 50.0% | |
| 44.44% | 18 | 1.2 | 661 | 11,680 | 40.0% | 50.0% | |
| 33.33% | 18 | 1.5 | 519 | 9,697 | 33.3% | 33.3% | |
| 38.89% | 18 | 2.2 | 576 | 9,797 | 33.3% | 44.4% | |
| 61.11% | 18 | 1.0 | 601 | 11,463 | 71.4% | 54.5% | |
| 50.00% | 18 | 5.8 | 756 | 10,489 | 55.6% | 44.4% | |
| 29.41% | 17 | 5.0 | 780 | 11,885 | 28.6% | 30.0% | |
| 35.29% | 17 | 4.5 | 662 | 9,626 | 57.1% | 20.0% | |
| 29.41% | 17 | 1.3 | 407 | 9,356 | 25.0% | 33.3% | |
| 52.94% | 17 | 1.8 | 663 | 13,673 | 100.0% | 46.7% | |
| 70.59% | 17 | 1.0 | 623 | 14,089 | 42.9% | 90.0% | |
| 64.71% | 17 | 1.1 | 714 | 10,952 | 75.0% | 55.6% | |
| 31.25% | 16 | 1.3 | 687 | 12,044 | 0.0% | 45.5% | |
| 37.50% | 16 | 5.1 | 719 | 12,184 | 50.0% | 30.0% | |
| 31.25% | 16 | 0.8 | 517 | 10,160 | 20.0% | 50.0% | |
| 53.33% | 15 | 1.5 | 497 | 9,885 | 66.7% | 33.3% | |
| 33.33% | 15 | 0.9 | 546 | 10,038 | 40.0% | 20.0% | |
| 28.57% | 14 | 5.8 | 915 | 11,012 | 33.3% | 25.0% | |
| 46.15% | 13 | 1.5 | 506 | 9,225 | 60.0% | 37.5% | |
| 61.54% | 13 | 1.3 | 552 | 9,343 | 57.1% | 66.7% | |
| 53.85% | 13 | 0.8 | 597 | 11,250 | 57.1% | 50.0% | |
| 46.15% | 13 | 4.7 | 468 | 9,945 | 33.3% | 57.1% | |
| 41.67% | 12 | 1.4 | 536 | 12,190 | 33.3% | 44.4% | |
| 41.67% | 12 | 5.5 | 726 | 11,369 | 60.0% | 28.6% | |
| 16.67% | 12 | 4.9 | 749 | 10,768 | 0.0% | 28.6% | |
| 45.45% | 11 | 1.8 | 633 | 9,862 | 28.6% | 75.0% | |
| 63.64% | 11 | 5.9 | 836 | 13,059 | 100.0% | 50.0% | |
| 72.73% | 11 | 5.8 | 889 | 12,436 | 80.0% | 66.7% | |
| 54.55% | 11 | 0.7 | 536 | 11,564 | 66.7% | 40.0% | |
| 20.00% | 10 | 2.6 | 941 | 12,063 | 0.0% | 40.0% | |
| 70.00% | 10 | 6.4 | 881 | 10,716 | 71.4% | 66.7% | |
| 60.00% | 10 | 5.8 | 835 | 10,929 | 80.0% | 40.0% | |
| 40.00% | 10 | 1.4 | 571 | 12,047 | 50.0% | 33.3% | |
| 60.00% | 10 | 0.7 | 612 | 12,160 | 60.0% | 60.0% | |
| 70.00% | 10 | 5.3 | 732 | 11,081 | 66.7% | 75.0% | |
| 55.56% | 9 | 1.0 | 657 | 11,008 | 60.0% | 50.0% | |
| 55.56% | 9 | 3.9 | 718 | 10,297 | 50.0% | 66.7% | |
| 100.00% | 8 | 5.5 | 655 | 8,935 | 100.0% | 0.0% | |
| 50.00% | 8 | 6.0 | 1,319 | 10,485 | 25.0% | 75.0% | |
| 12.50% | 8 | 0.7 | 573 | 12,177 | 33.3% | 0.0% | |
| 25.00% | 8 | 5.3 | 802 | 11,770 | 50.0% | 16.7% | |
| 50.00% | 8 | 1.7 | 587 | 13,041 | 50.0% | 50.0% | |
| 62.50% | 8 | 2.1 | 486 | 9,706 | 50.0% | 75.0% | |
| 42.86% | 7 | 4.8 | 447 | 9,721 | 0.0% | 75.0% | |
| 50.00% | 6 | 2.8 | 577 | 11,920 | 0.0% | 60.0% | |
| 66.67% | 6 | 6.0 | 539 | 9,620 | 100.0% | 33.3% | |
| 50.00% | 6 | 4.7 | 684 | 8,939 | 50.0% | 50.0% | |
| 100.00% | 6 | 5.7 | 966 | 12,647 | 100.0% | 100.0% | |
| 33.33% | 6 | 0.9 | 639 | 11,258 | 25.0% | 50.0% | |
| 66.67% | 6 | 3.9 | 604 | 9,771 | 50.0% | 100.0% | |
| 33.33% | 6 | 3.1 | 844 | 13,809 | 50.0% | 25.0% | |
| 40.00% | 5 | 1.1 | 369 | 8,098 | 0.0% | 100.0% | |
| 60.00% | 5 | 6.2 | 921 | 13,268 | 0.0% | 75.0% | |
| 40.00% | 5 | 4.9 | 677 | 12,570 | 0.0% | 50.0% | |
| 80.00% | 5 | 5.8 | 555 | 10,004 | 66.7% | 100.0% | |
| 0.00% | 5 | 4.0 | 901 | 11,486 | 0.0% | 0.0% | |
| 40.00% | 5 | 2.1 | 863 | 15,246 | 0.0% | 40.0% | |
Doğruluğu korumamıza yardım edin! Yanlış istatistikler, eksik veriler veya herhangi bir sorun fark ederseniz, geri bildiriminiz tüm topluluk için veri kalitemizi doğrudan iyileştirir.
Poppy Matchups - Sik Sorulan Sorular
League of Legends'da Poppy'in en iyi matchuplari nelerdir?
Poppy'in patch 26.3'daki en iyi matchuplari Nami, Lux, and Thresh'i icerir. Poppy 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.
Poppy'in en kotu matchuplari nelerdir?
Poppy'in en kotu matchuplari Gragas, Ekko, and Olaf'i icerir. Bu sampiyonlar Poppy'e karsi avantajli kazanma oranlarina sahiptir ve Poppy'in lane'deki zayifliklarini kullanabilir. Tam matchup analizini gormek icin tablodaki bir sampiyon adina tiklayin.
Poppy matchup verilerini nasil kontrol ederim?
Poppy matchup verilerini tam burada bu sayfada kontrol edebilirsiniz. Matchup tablosu her sampiyona karsi kazanma oranlari ve istatistikleri gosterir. Bu ozel Poppy 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 Poppy kimi counter yapar?
Poppy patch 26.3'da Nami, Lux, and Thresh'i counter yapar. Bunlar Poppy'in en yuksek kazanma oranlari ve en guclu lane performansina sahip oldugu en avantajli matchuplaridir. Herhangi bir ozel Poppy matchupunu ayrintili olarak kesfetmek icin yukaridaki matchup seciciyi kullanin.
Lane'de Poppy'i kim counter yapar?
Gragas, Ekko, and Olaf patch 26.3 sirasinda lane'de Poppy'i counter yapar. Bu sampiyonlar Poppy'e karsi en iyi kazanma oranlarina sahiptir. Ayrintili matchup stratejilerini ve onerilen buildleri gormek icin counters sekmesine bakin veya tablodaki bir sampiyona tiklayin.