Laner Top Lane Terbaik - Statistik Lane Phase
Patch 26.20
136 champion Top Lane diurutkan berdasarkan performa melawan lawan lane di menit 15 pada patch 26.20, dari 63.002 game ranked. Irelia paling dominan di lane dengan rata-rata unggul +735 gold dan unggul di 63% game. Master Yi paling sering mengubah keunggulan gold jadi kemenangan (69%), sementara Anivia paling jago bangkit dari ketertinggalan (49%).
- Patch
- 26.20
- Laner terkuat
- Irelia · +735
- Lane win rate tertinggi
- Irelia · 63.0%
- Terbaik menutup keunggulan
- Master Yi · 68.9%
- Terbaik dari posisi tertinggal
- Anivia · 48.6%
- Solo kill terbanyak
- Irelia · 2.16
Top Lane
Semua rank
Gold lead di menit 15
Patch 26.20 · Semua rank · NA ranked Solo/Duo & Flex · Game: 63.002
Irelia adalah lane bully Top Lane di patch 26.20: rata-rata unggul +735 gold, +21,3 CS, dan +322 XP atas laner musuh di menit 15, dan unggul di 63% game. Di seluruh role, 29% champion dengan sampel penuh punya keunggulan gold yang jelas secara statistik di menit 15.
Menang lane dan menang game adalah dua skill berbeda. Master Yi mengubah keunggulan gold jadi kemenangan 69% dari waktu, terbaik di role ini, sementara Anivia menang 49% game yang dimulai dari ketertinggalan, profil comeback terkuat. Irelia mengambil solo kill terbanyak sebelum menit 15 (2.16 per game) dan Master Yi mendapat first blood di 28% game.
Angka ini berasal dari 63.002 game ranked Solo/Duo dan Flex di server North America, patch 26.20, Semua rank. Champion butuh 30 game dengan snapshot menit ke-15 sebelum angka lane ditampilkan dan 200 game agar bisa jadi sorotan halaman ini. Aplikasi desktop MetaBot membagi tabel yang sama ke bracket Iron–Silver, Gold–Platinum, dan Emerald+ serta menambahkan peta lane keunggulan gold terhadap scaling.
3 laner Top Lane terbaik
Peringkat | Champion | Profil | Gold @15 | CS @15 | XP @15 | WR Lane | Menang Saat Unggul | Menang Saat Tertinggal | Solo Kill | First Blood | Scaling | Win Rate | Pick Share | Match |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Lane bully | +735 | +21,3 | +322 | 63.0% | 58.1% | 35.1% | 2.16 | 23.6% | −6,7 | 49.7% | 1.8% | 2.231 | |
| 2 | Lane bully | +539 | +17,6 | +493 | 61.5% | 59.1% | 36.9% | 1.58 | 12.0% | −10,4 | 50.6% | 2.2% | 2.803 | |
| 3 | Lane bully | +490 | +15,4 | +518 | 62.5% | 58.5% | 36.6% | 1.47 | 9.0% | −5,9 | 50.4% | 1.2% | 1.517 | |
| 4 | Lane bully | +441 | +1,8 | +309 | 59.8% | 58.7% | 36.6% | 1.44 | 6.6% | +6,3 | 49.2% | 0.2% | 256 | |
| 5 | Lane bully | +409 | +7,2 | +140 | 57.7% | 61.4% | 35.9% | 1.74 | 25.8% | −2,5 | 50.5% | 1.9% | 2.383 | |
| 6 | Lane bully | +388 | −0,8 | +142 | 57.3% | 60.9% | 34.3% | 1.89 | 22.2% | −4,7 | 49.7% | 0.9% | 1.097 | |
| 7 | Lane bully | +386 | +8,3 | +461 | 58.8% | 58.0% | 35.5% | 1.87 | 12.8% | −5,5 | 49.0% | 2.0% | 2.551 | |
| 8 | Lane bully | +312 | +4,1 | +67 | 56.8% | 57.5% | 37.0% | 1.43 | 14.4% | −1,2 | 48.7% | 2.2% | 2.731 | |
| 9 | Lane bully | +309 | +6,3 | +306 | 57.5% | 59.7% | 37.1% | 1.67 | 13.6% | −3,4 | 50.1% | 2.3% | 2.895 | |
| 10 | Lane bully | +242 | +4,6 | +387 | 58.0% | 58.4% | 38.0% | 1.91 | 14.1% | −0,2 | 49.9% | 1.1% | 1.321 | |
| 11 | Lane bully | +239 | +5,4 | +103 | 57.9% | 60.5% | 38.9% | 1.09 | 7.3% | −8,4 | 51.4% | 2.3% | 2.923 | |
| 12 | Lane bully | +223 | +6,5 | +380 | 56.9% | 61.3% | 44.1% | 1.31 | 10.7% | −7,7 | 53.5% | 0.2% | 299 | |
| 13 | Lane bully | +216 | +3,1 | +406 | 57.7% | 61.7% | 36.8% | 1.74 | 10.7% | −0,9 | 51.0% | 4.3% | 5.424 | |
| 14 | Seimbang | +190 | +12,0 | +81 | 51.9% | 54.7% | 36.3% | 1.84 | 18.1% | +2,6 | 45.9% | 0.3% | 353 | |
| 15 | Lane bully | +166 | +5,8 | −6 | 53.0% | 58.3% | 35.6% | 1.76 | 15.7% | +1,5 | 47.6% | 3.6% | 4.545 | |
| 16 | Lane bully | +165 | +1,6 | +189 | 53.6% | 63.0% | 39.7% | 1.43 | 13.4% | −4,4 | 52.0% | 4.0% | 5.036 | |
| 17 | Lane bully | +139 | +7,6 | −54 | 51.7% | 59.8% | 38.9% | 1.39 | 14.4% | −3,7 | 49.9% | 1.1% | 1.431 | |
| 18 | Stabilizer | +138 | +1,5 | +421 | 51.9% | 65.0% | 48.6% | 1.42 | 13.2% | −11,7 | 56.8% | 0.2% | 234 | |
| 19 | Lane bully | +107 | +0,4 | 0 | 52.3% | 60.5% | 36.6% | 1.80 | 18.1% | −1,2 | 49.2% | 3.3% | 4.144 | |
| 20 | Lane bully | +93 | −2,2 | −10 | 51.8% | 61.7% | 38.5% | 1.77 | 20.6% | +0,1 | 50.6% | 4.4% | 5.570 | |
| 21 | Lane bully | +86 | −1,6 | −22 | 51.7% | 58.5% | 41.2% | 1.76 | 21.9% | −0,9 | 50.1% | 1.4% | 1.738 | |
| 22 | Seimbang | +76 | +1,7 | −110 | 50.5% | 60.9% | 39.6% | 1.73 | 18.7% | +5,0 | 50.2% | 1.1% | 1.387 | |
| 23 | Seimbang | +68 | −5,1 | +66 | 51.8% | 63.8% | 35.1% | 1.94 | 19.8% | −6,8 | 50.4% | 0.4% | 530 | |
| 24 | Seimbang | +61 | −2,4 | −255 | 51.3% | 57.4% | 37.9% | 1.42 | 17.0% | −2,4 | 47.9% | 1.3% | 1.643 | |
| 25 | Seimbang | +60 | −0,2 | +276 | 52.1% | 57.6% | 39.0% | 1.44 | 9.5% | +3,3 | 48.8% | 0.8% | 982 | |
| 26 | Seimbang | +43 | +7,2 | −134 | 50.2% | 59.5% | 39.3% | 1.52 | 17.1% | −2,9 | 49.4% | 1.6% | 1.991 | |
| 27 | Seimbang | +27 | +0,7 | −88 | 50.2% | 61.6% | 37.2% | 1.75 | 21.6% | +0,4 | 49.3% | 1.8% | 2.305 | |
| 28 | Seimbang | +16 | +3,1 | +127 | 51.0% | 58.1% | 39.0% | 1.28 | 8.6% | +1,4 | 48.9% | 1.6% | 1.958 | |
| 29 | Seimbang | +7 | +1,7 | +277 | 51.7% | 51.6% | 35.2% | 1.43 | 8.1% | +1,2 | 43.8% | 1.1% | 1.437 | |
| 30 | Seimbang | −5 | +12,1 | −103 | 50.2% | 53.4% | 39.4% | 0.91 | 3.7% | −5,1 | 46.5% | 0.4% | 482 | |
| 31 | Stabilizer | −6 | +4,4 | −84 | 49.4% | 61.9% | 41.3% | 1.31 | 10.8% | +0,7 | 51.4% | 3.9% | 4.911 | |
| 32 | Seimbang | −11 | −0,6 | +186 | 52.5% | 58.6% | 39.0% | 1.55 | 12.6% | +3,6 | 49.3% | 1.1% | 1.437 | |
| 33 | Seimbang | −13 | +4,5 | −64 | 50.7% | 63.0% | 38.5% | 1.59 | 15.4% | +3,7 | 50.8% | 3.7% | 4.674 | |
| 34 | Seimbang | −17 | −6,0 | −63 | 49.6% | 62.6% | 40.7% | 1.78 | 16.5% | −3,4 | 51.5% | 2.7% | 3.405 | |
| 35 | Seimbang | −22 | +5,3 | +159 | 51.8% | 58.5% | 39.9% | 1.34 | 8.9% | −0,4 | 49.6% | 0.5% | 637 | |
| 36 | Stabilizer | −24 | −3,8 | −103 | 49.9% | 65.2% | 41.3% | 1.79 | 15.5% | −3,2 | 52.9% | 0.6% | 805 | |
| 37 | Stabilizer | −34 | +2,1 | −47 | 47.1% | 57.2% | 42.4% | 0.99 | 6.2% | +2,4 | 49.4% | 1.3% | 1.673 | |
| 38 | Seimbang | −68 | −5,7 | +56 | 48.7% | 57.2% | 37.7% | 1.74 | 17.7% | +0,6 | 47.0% | 0.3% | 406 | |
| 39 | Stabilizer | −80 | −3,9 | −98 | 48.6% | 61.2% | 42.3% | 1.48 | 17.3% | −3,1 | 51.4% | 1.9% | 2.425 | |
| 40 | Stabilizer | −114 | +2,4 | −72 | 52.1% | 54.9% | 42.3% | 1.27 | 12.6% | +3,5 | 48.9% | 0.4% | 460 | |
| 41 | Seimbang | −126 | −8,7 | −469 | 46.2% | 59.6% | 39.8% | 1.22 | 14.7% | +3,9 | 49.2% | 0.5% | 591 | |
| 42 | Seimbang | −128 | −6,1 | +265 | 49.0% | 63.1% | 40.0% | 1.52 | 8.9% | +1,3 | 51.5% | 1.6% | 1.947 | |
| 43 | Scaler | −128 | −5,8 | −268 | 46.6% | 62.2% | 35.6% | 1.53 | 16.8% | +7,5 | 47.8% | 1.1% | 1.403 | |
| 44 | Scaler | −161 | +0,1 | −65 | 47.2% | 53.7% | 36.6% | 1.41 | 9.8% | +4,8 | 45.0% | 0.6% | 694 | |
| 45 | Scaler | −167 | −7,2 | +107 | 45.9% | 59.3% | 38.6% | 1.20 | 6.6% | +5,9 | 48.0% | 0.7% | 937 | |
| 46 | Scaler | −214 | −5,9 | +86 | 44.4% | 65.0% | 43.7% | 1.40 | 11.2% | +8,2 | 52.9% | 0.4% | 463 | |
| 47 | Scaler | −225 | −4,9 | −52 | 44.7% | 64.0% | 44.9% | 1.34 | 10.8% | +3,0 | 53.6% | 2.1% | 2.711 | |
| 48 | Scaler | −227 | −3,4 | −306 | 44.3% | 61.1% | 38.7% | 1.24 | 10.4% | +2,8 | 48.6% | 1.5% | 1.920 | |
| 49 | Stabilizer | −231 | −9,5 | +116 | 45.2% | 61.9% | 42.9% | 1.10 | 5.3% | −1,1 | 51.2% | 3.3% | 4.181 | |
| 50 | Seimbang | −250 | −6,4 | −173 | 44.1% | 60.4% | 39.0% | 1.44 | 15.5% | +0,3 | 48.6% | 1.4% | 1.770 | |
| 51 | Scaler | −263 | +0,6 | −340 | 43.6% | 67.7% | 38.3% | 0.86 | 8.5% | +2,5 | 50.9% | 0.2% | 234 | |
| 52 | Scaler | −272 | −3,1 | −182 | 46.7% | 54.2% | 37.3% | 1.04 | 12.7% | +4,6 | 45.0% | 0.3% | 338 | |
| 53 | Stabilizer | −279 | −16,2 | +90 | 44.2% | 68.9% | 46.9% | 1.31 | 11.7% | −9,8 | 56.9% | 0.2% | 239 | |
| 54 | Scaler | −313 | −8,0 | −185 | 43.4% | 62.5% | 41.5% | 1.42 | 11.7% | +7,3 | 50.5% | 1.3% | 1.594 | |
| 55 | Scaler | −358 | +4,0 | −651 | 41.5% | 61.5% | 41.4% | 0.86 | 11.3% | +4,2 | 49.6% | 1.2% | 1.538 | |
| 56 | Seimbang | −402 | −18,6 | −731 | 39.9% | 56.5% | 33.7% | 1.91 | 24.8% | −5,0 | 43.1% | 0.2% | 274 | |
| 57 | Scaler | −414 | −2,5 | −714 | 40.6% | 64.0% | 43.3% | 1.30 | 23.7% | +12,1 | 51.7% | 0.3% | 410 | |
| 58 | Scaler | −421 | −1,7 | −517 | 41.0% | 58.1% | 34.6% | 1.09 | 12.0% | +4,0 | 44.2% | 0.6% | 781 | |
| 59 | Scaler | −429 | −9,0 | −136 | 40.3% | 63.2% | 44.5% | 1.01 | 8.1% | +7,9 | 52.1% | 1.7% | 2.118 | |
| 60 | Scaler | −440 | −6,1 | −243 | 38.8% | 64.8% | 42.3% | 0.73 | 4.7% | +2,7 | 51.1% | 1.9% | 2.347 | |
| 61 | Scaler | −500 | −13,9 | −685 | 38.4% | 68.9% | 36.3% | 1.61 | 28.1% | +12,2 | 48.5% | 0.3% | 388 | |
| 62 | Scaler | −579 | −11,4 | −312 | 32.0% | 62.1% | 47.9% | 0.80 | 4.7% | +6,5 | 51.7% | 0.2% | 211 | |
| 63 | Scaler | −588 | −14,0 | −311 | 37.0% | 63.8% | 43.8% | 0.85 | 2.8% | +5,0 | 51.2% | 2.6% | 3.324 | |
| 64 | Stabilizer | −683 | −23,1 | −395 | 32.7% | 65.0% | 45.0% | 1.02 | 14.4% | −2,1 | 51.6% | 1.8% | 2.211 | |
| 65 | Scaler | −827 | −12,6 | −737 | 30.3% | 61.5% | 45.1% | 0.83 | 10.4% | +11,0 | 49.9% | 1.3% | 1.694 | |
| 66 | Lane bully | +1.296 | +31,7 | +210 | 75.6% | 55.9% | — | 1.74 | 23.4% | — | 55.3% | 0.0% | 47Sampel kecil | |
| 67 | Lane bully | +626 | +9,6 | +551 | 61.5% | 40.6% | — | 2.21 | 26.9% | — | 36.5% | 0.0% | 52Sampel kecil | |
| 68 | Lane bully | +514 | +7,6 | +644 | 58.9% | 54.5% | — | 2.14 | 14.0% | — | 49.1% | 0.1% | 57Sampel kecil | |
| 69 | Lane bully | +502 | +16,6 | +291 | 60.1% | 56.6% | 40.5% | 1.65 | 11.9% | +2,5 | 50.8% | 0.1% | 193Sampel kecil | |
| 70 | Seimbang | +501 | +18,7 | +147 | 64.0% | 65.6% | — | 1.64 | 20.0% | — | 46.0% | 0.0% | 50Sampel kecil | |
| 71 | Seimbang | +470 | +9,9 | +426 | 61.5% | 68.8% | — | 1.51 | 5.7% | — | 56.6% | 0.0% | 53Sampel kecil | |
| 72 | Seimbang | +442 | +16,8 | +508 | 51.6% | 60.6% | 38.7% | 2.00 | 14.1% | — | 50.0% | 0.1% | 64Sampel kecil | |
| 73 | Lane bully | +429 | +15,1 | +76 | 59.4% | 54.5% | 29.0% | 1.88 | 18.5% | −7,4 | 43.4% | 0.1% | 173Sampel kecil | |
| 74 | Lane bully | +400 | +15,5 | +233 | 58.3% | 60.0% | — | 1.44 | 9.8% | — | 52.5% | 0.1% | 61Sampel kecil | |
| 75 | Seimbang | +398 | +8,6 | +430 | 51.1% | — | — | 1.69 | 17.8% | — | 53.3% | 0.0% | 45Sampel kecil | |
| 76 | Lane bully | +375 | +2,0 | +235 | 54.3% | 47.1% | 44.1% | 2.02 | 17.6% | −1,5 | 45.8% | 0.1% | 131Sampel kecil | |
| 77 | Lane bully | +355 | +8,4 | +371 | 63.9% | 53.9% | 46.5% | 1.40 | 9.1% | −14,0 | 50.4% | 0.1% | 121Sampel kecil | |
| 78 | Seimbang | +351 | +6,8 | +551 | 61.4% | 57.1% | — | 1.90 | 10.2% | — | 47.5% | 0.1% | 59Sampel kecil | |
| 79 | Seimbang | +345 | +13,2 | +222 | 54.0% | — | — | 1.71 | 17.6% | — | 58.8% | 0.0% | 51Sampel kecil | |
| 80 | Lane bully | +280 | +7,0 | +339 | 58.4% | 57.4% | 40.3% | 1.45 | 13.2% | +6,3 | 50.0% | 0.1% | 190Sampel kecil | |
| 81 | Seimbang | +262 | +6,0 | −256 | 58.6% | 53.8% | 32.6% | 1.31 | 14.9% | +5,1 | 45.6% | 0.1% | 114Sampel kecil | |
| 82 | Seimbang | +238 | +2,9 | +221 | 57.9% | 54.5% | — | 1.46 | 21.1% | — | 42.1% | 0.1% | 57Sampel kecil | |
| 83 | Stabilizer | +230 | +1,3 | −149 | 49.4% | 59.5% | 41.9% | 1.57 | 26.7% | — | 51.2% | 0.1% | 86Sampel kecil | |
| 84 | Seimbang | +226 | 0,0 | +173 | 53.4% | 54.3% | 41.0% | 1.74 | 14.9% | −22,0 | 47.0% | 0.1% | 134Sampel kecil | |
| 85 | Seimbang | +221 | +7,7 | +139 | 57.4% | 61.5% | — | 0.90 | 4.3% | — | 55.1% | 0.1% | 69Sampel kecil | |
| 86 | Seimbang | +219 | +8,5 | −124 | 52.0% | 46.2% | 38.9% | 1.15 | 21.3% | — | 42.7% | 0.1% | 75Sampel kecil | |
| 87 | Seimbang | +191 | −2,9 | +43 | 53.2% | 44.6% | 31.9% | 1.78 | 15.2% | −6,4 | 39.9% | 0.1% | 158Sampel kecil | |
| 88 | Seimbang | +182 | +12,6 | −356 | 53.4% | 58.7% | 18.2% | 1.07 | 14.2% | −1,4 | 40.0% | 0.1% | 120Sampel kecil | |
| 89 | Stabilizer | +164 | +3,0 | +573 | 56.8% | 60.3% | 52.1% | 1.29 | 8.0% | −10,6 | 56.6% | 0.1% | 113Sampel kecil | |
| 90 | Seimbang | +158 | +11,1 | −455 | 53.8% | 52.6% | 36.7% | 1.42 | 28.3% | −13,0 | 45.3% | 0.1% | 106Sampel kecil | |
| 91 | Seimbang | +150 | −10,2 | −635 | 48.1% | 61.3% | 28.4% | 0.89 | 10.1% | +6,7 | 44.2% | 0.1% | 129Sampel kecil | |
| 92 | Seimbang | +116 | −4,1 | +41 | 57.4% | 57.1% | 30.8% | 1.99 | 18.4% | −1,2 | 45.6% | 0.1% | 125Sampel kecil | |
| 93 | Seimbang | +87 | −2,8 | +157 | 51.7% | 64.5% | — | 1.41 | 13.1% | — | 50.8% | 0.1% | 61Sampel kecil | |
| 94 | Seimbang | +86 | +6,3 | −155 | 47.8% | 52.3% | 29.2% | 1.38 | 20.2% | +11,3 | 41.5% | 0.1% | 94Sampel kecil | |
| 95 | Seimbang | +32 | −3,5 | −96 | 48.8% | 57.1% | 30.3% | 1.79 | 25.2% | +3,3 | 43.5% | 0.1% | 131Sampel kecil | |
| 96 | Seimbang | +32 | −0,9 | −273 | 53.7% | 63.9% | 32.3% | 1.43 | 22.1% | — | 50.0% | 0.1% | 68Sampel kecil | |
| 97 | Stabilizer | +13 | −3,7 | +372 | 50.8% | 58.1% | 48.3% | 1.72 | 14.5% | +1,6 | 53.2% | 0.1% | 186Sampel kecil | |
| 98 | Seimbang | +5 | −2,0 | −7 | 47.7% | 64.5% | 38.2% | 1.77 | 10.8% | — | 50.8% | 0.1% | 65Sampel kecil | |
| 99 | Seimbang | −12 | −5,7 | −95 | 46.5% | 52.2% | 39.6% | 1.69 | 20.8% | +4,6 | 44.6% | 0.1% | 101Sampel kecil | |
| 100 | Seimbang | −84 | −1,4 | −2 | 47.7% | — | — | 1.36 | 11.4% | — | 52.3% | 0.0% | 44Sampel kecil | |
| 101 | Seimbang | −87 | −8,1 | +146 | 49.2% | — | — | 1.25 | 6.7% | — | 46.7% | 0.1% | 60Sampel kecil | |
| 102 | Seimbang | −89 | −4,9 | −164 | 50.0% | — | — | 2.11 | 20.0% | — | 54.3% | 0.0% | 35Sampel kecil | |
| 103 | Seimbang | −100 | +5,7 | +63 | 51.7% | 50.8% | 40.4% | 0.98 | 8.5% | −6,8 | 45.8% | 0.1% | 118Sampel kecil | |
| 104 | Seimbang | −135 | −5,2 | −112 | 42.2% | — | — | 1.44 | 15.6% | — | 42.2% | 0.0% | 45Sampel kecil | |
| 105 | Seimbang | −156 | −6,2 | −152 | 43.3% | 50.9% | 38.9% | 1.20 | 12.5% | −5,8 | 44.5% | 0.1% | 128Sampel kecil | |
| 106 | Seimbang | −189 | −5,9 | −241 | 43.4% | 67.9% | 39.1% | 1.87 | 9.7% | +4,6 | 51.6% | 0.1% | 124Sampel kecil | |
| 107 | Stabilizer | −203 | −11,1 | −14 | 47.3% | 62.8% | 43.7% | 1.40 | 10.8% | +2,4 | 53.0% | 0.1% | 166Sampel kecil | |
| 108 | Snowballer | −211 | −5,9 | −191 | 43.9% | 65.3% | 32.6% | 1.08 | 6.0% | −6,8 | 47.6% | 0.1% | 166Sampel kecil | |
| 109 | Seimbang | −211 | −14,2 | −352 | 41.3% | 51.6% | 34.1% | 1.57 | 17.3% | — | 41.3% | 0.1% | 75Sampel kecil | |
| 110 | Seimbang | −219 | +3,7 | −175 | 43.2% | 50.7% | 36.4% | 1.27 | 9.5% | +20,0 | 43.0% | 0.1% | 158Sampel kecil | |
| 111 | Stabilizer | −234 | +8,0 | −206 | 47.9% | 55.6% | 45.5% | 1.56 | 18.2% | +5,9 | 50.0% | 0.1% | 170Sampel kecil | |
| 112 | Seimbang | −296 | −12,4 | −165 | 45.5% | 52.5% | 39.6% | 1.42 | 19.1% | −16,8 | 46.1% | 0.1% | 89Sampel kecil | |
| 113 | Scaler | −309 | −5,3 | +137 | 42.1% | 51.0% | 50.0% | 0.88 | 4.1% | +4,8 | 50.8% | 0.1% | 122Sampel kecil | |
| 114 | Seimbang | −349 | −6,1 | −300 | 37.2% | 66.7% | 40.7% | 0.90 | 7.5% | +0,5 | 51.0% | 0.1% | 147Sampel kecil | |
| 115 | Stabilizer | −350 | −12,0 | −402 | 41.7% | 58.3% | 47.8% | 1.68 | 17.9% | +9,2 | 51.3% | 0.1% | 117Sampel kecil | |
| 116 | Seimbang | −359 | −2,0 | −494 | 38.8% | 59.6% | 39.2% | 1.11 | 14.8% | +1,4 | 46.7% | 0.1% | 122Sampel kecil | |
| 117 | Seimbang | −388 | −1,1 | −707 | 35.5% | — | 22.4% | 1.06 | 14.3% | — | 31.2% | 0.1% | 77Sampel kecil | |
| 118 | Scaler | −393 | +1,3 | −189 | 43.0% | 52.5% | 52.8% | 0.92 | 2.2% | +3,1 | 52.7% | 0.1% | 93Sampel kecil | |
| 119 | Seimbang | −402 | −14,8 | −552 | 41.3% | 51.5% | 19.1% | 1.65 | 14.6% | — | 32.9% | 0.1% | 82Sampel kecil | |
| 120 | Seimbang | −489 | −10,5 | −183 | 33.3% | — | — | 0.73 | 0.0% | — | 51.5% | 0.0% | 33Sampel kecil | |
| 121 | Seimbang | −531 | −10,2 | −902 | 42.4% | — | — | 0.73 | 9.1% | — | 39.4% | 0.0% | 33Sampel kecil | |
| 122 | Seimbang | −586 | −17,1 | −896 | 34.6% | — | 38.2% | 1.50 | 23.1% | — | 42.3% | 0.0% | 52Sampel kecil | |
| 123 | Stabilizer | −669 | −20,4 | −295 | 27.3% | — | 50.0% | 1.11 | 8.9% | — | 58.9% | 0.0% | 56Sampel kecil | |
| 124 | Seimbang | −688 | −7,5 | −719 | 29.0% | — | 38.6% | 1.02 | 11.1% | — | 49.2% | 0.1% | 63Sampel kecil | |
| 125 | Stabilizer | −727 | −10,7 | −687 | 40.0% | 62.5% | 45.8% | 1.09 | 11.0% | — | 51.2% | 0.1% | 82Sampel kecil | |
| 126 | Stabilizer | −728 | −18,8 | −993 | 27.1% | — | 48.6% | 0.40 | 4.0% | — | 54.0% | 0.0% | 50Sampel kecil | |
| 127 | Stabilizer | −735 | −17,5 | −264 | 29.2% | 61.3% | 54.7% | 0.58 | 2.8% | −8,1 | 56.6% | 0.1% | 106Sampel kecil | |
| 128 | Seimbang | −754 | −14,2 | −477 | 32.0% | — | 39.2% | 0.99 | 10.5% | — | 48.7% | 0.1% | 76Sampel kecil | |
| 129 | Scaler | −783 | −7,9 | −918 | 30.1% | 58.0% | 39.7% | 0.51 | 5.4% | +18,8 | 44.6% | 0.1% | 168Sampel kecil | |
| 130 | Seimbang | −860 | −15,1 | −400 | 21.2% | — | — | 1.03 | 5.9% | — | 44.1% | 0.0% | 34Sampel kecil | |
| 131 | Scaler | −866 | −28,3 | −468 | 24.8% | — | 41.8% | 0.95 | 4.7% | +25,6 | 49.5% | 0.1% | 107Sampel kecil | |
| 132 | Scaler | −885 | −7,3 | −998 | 25.8% | 61.8% | 50.0% | 0.64 | 6.0% | +6,5 | 53.0% | 0.1% | 134Sampel kecil | |
| 133 | Seimbang | −1.099 | −20,5 | −1.053 | 23.9% | — | 31.4% | 0.59 | 10.9% | — | 39.1% | 0.0% | 46Sampel kecil | |
| 134 | Seimbang | −1.161 | −35,7 | −766 | 25.0% | — | 33.3% | 0.98 | 3.3% | — | 36.7% | 0.1% | 60Sampel kecil | |
| 135 | Seimbang | −1.216 | −29,0 | −723 | 26.7% | — | — | 0.70 | 13.3% | — | 53.3% | 0.0% | 30Sampel kecil | |
| 136 | Stabilizer | −1.652 | −32,4 | −1.644 | 11.1% | — | 57.5% | 0.60 | 6.3% | — | 58.3% | 0.0% | 48Sampel kecil | |
Setiap lane, dibagi per rank, live di aplikasi
Tab Lane Phase di aplikasi desktop menambahkan bracket Iron–Silver, Gold–Platinum, dan Emerald+, peta lane gold lead melawan scaling, dan breakdown per champion tentang bagaimana lead berubah jadi kemenangan.
- Bracket rank: Iron–Silver, Gold–Platinum, Emerald+
- Peta lane: gold lead di menit 15 vs scaling late game
- Konversi lead dan lane andalan untuk setiap champion
Arketipe lane Top Lane di patch 26.20
Setiap champion mendapat satu label dari angkanya sendiri: lane bully punya keunggulan gold yang jelas di menit 15, scaler kalah lane tapi menang di late game, snowballer mengubah keunggulan besar jauh lebih baik daripada bangkit dari ketertinggalan, dan stabilizer terus menang dari belakang. Hanya champion dengan 200 game atau lebih yang ditampilkan.
Lane bully
Konsisten menang lane dan menekan lawan sejak awal: unggul gold yang jelas secara statistik di menit 15.
Irelia+735 gold di menit 15, unggul di 63% lane
Illaoi+539 gold di menit 15, unggul di 62% lane
Heimerdinger+490 gold di menit 15, unggul di 63% lane
Zed+441 gold di menit 15, unggul di 60% lane
Tryndamere+409 gold di menit 15, unggul di 58% lane
Snowballer
Mengubah keunggulan besar jadi kemenangan jauh lebih sering daripada bangkit dari ketertinggalan.
Tidak ada champion Top Lane yang cocok dengan profil ini di patch saat ini.
Scaler
Bertahan di lane yang sulit dan makin sering menang semakin lama game berjalan.
Master Yi−500 gold di menit 15, win rate naik +12,2 poin di late game
Kayn−414 gold di menit 15, win rate naik +12,1 poin di late game
Kayle−827 gold di menit 15, win rate naik +11,0 poin di late game
Poppy−214 gold di menit 15, win rate naik +8,2 poin di late game
Ornn−429 gold di menit 15, win rate naik +7,9 poin di late game
Stabilizer
Sering bangkit dari ketertinggalan - kalah lane jarang berarti kalah game.
AniviaMenang 49% game dari posisi tertinggal (+138 gold di menit 15)
ZacMenang 47% game dari posisi tertinggal (−279 gold di menit 15)
ShenMenang 45% game dari posisi tertinggal (−683 gold di menit 15)
MalphiteMenang 43% game dari posisi tertinggal (−231 gold di menit 15)
SionMenang 42% game dari posisi tertinggal (−34 gold di menit 15)
Cara membaca statistik ini
Lawan lane adalah pemain musuh di role yang sama. Setiap selisih adalah angka champion ini dikurangi angka lawan di frame timeline 15:00 - gold, CS (minion plus monster), dan XP - dirata-rata dari semua game dan ditampilkan dengan interval kepercayaan 95%. Champion hanya disebut "unggul" atau "tertinggal" jika seluruh interval berada di satu sisi nol; jika tidak, selisihnya masih dalam margin kesalahan.
Lane win rate adalah persentase game dengan keunggulan gold sekecil apa pun di 15:00. Win rate saat unggul dan saat tertinggal membagi game yang sama berdasarkan keunggulan itu, dan setiap rate punya interval Wilson 95%; champion butuh 30 game dalam satu band sebelum angkanya ditampilkan. Band 1.000 gold memisahkan keunggulan dan ketertinggalan besar.
Solo kill menghitung kill tanpa bantuan pada lawan lane sebelum 15:00; first blood adalah persentase game saat pemain ini mendapatkannya. Scaling adalah win rate late game dikurangi early game, dibagi pada rata-rata durasi game populasi, dan butuh 40 game di tiap sisi. Champion dengan kurang dari 200 game diberi tag Sampel rendah dan tidak pernah jadi sorotan halaman.
Data: 63.002 game ranked Solo/Duo dan Flex di server North America, patch 26.20, semua rank digabung. Band rank mengelompokkan game berdasarkan tier pemain acuan: Iron–Silver, Gold–Platinum, dan Emerald ke atas. Remake dan antrean non-ranked tidak dihitung, dan lane hanya dihitung jika tepat satu pemain per tim memegang role tersebut.
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FAQ Lane Phase LoL - Top Lane, patch 26.20
Champion Top Lane mana yang paling sering menang lane di patch 26.20?
Irelia punya keunggulan lane Top Lane terbesar di patch 26.20: rata-rata unggul +735 gold dan +21,3 CS atas lawan lane di menit 15, unggul di 63% game, dari 2.231 game ranked.
Apa arti "unggul gold di menit 15"?
Ini adalah total gold champion ini dikurangi total gold lawan lane di menit ke-15 pada timeline match, dirata-rata dari semua game saat kedua pemain punya snapshot menit ke-15. Angka positif berarti champion biasanya unggul di lane; rentang kepercayaan di setiap halaman menunjukkan apakah keunggulan itu jelas secara statistik atau hanya noise.
Apakah menang lane berarti menang game?
Tidak otomatis. Di Top Lane, Master Yi mengubah keunggulan gold di menit 15 jadi kemenangan 69% dari waktu, sementara Anivia tetap menang 49% game yang dimulai dari ketertinggalan. Bandingkan kolom "win ahead" dan "win behind": champion dengan selisih besar sangat bergantung pada lane-nya, yang selisihnya kecil masih bisa bertahan dari lane yang buruk.
Champion Top Lane mana yang jadi lane bully saat ini?
Di patch 26.20, 19 champion Top Lane dengan sampel penuh punya keunggulan gold yang jelas secara statistik di menit 15. Yang terbesar: Irelia, Illaoi, Heimerdinger, Zed, Tryndamere. Lane bully di sini berarti seluruh rentang kepercayaan 95% dari keunggulan gold berada di atas nol, bukan sekadar rata-rata positif.
Apa itu lane win rate?
Persentase game champion saat punya keunggulan gold sekecil apa pun atas lawan lane di menit ke-15. Ini mengabaikan besarnya keunggulan, jadi dibaca bersama selisih gold: champion dengan lane win rate tinggi tapi selisih rata-rata kecil sering menang lane dengan tipis, sedangkan selisih besar dengan lane win rate sedang berarti sesekali menang telak.
Dari mana data ini berasal?
Dari 63.002 game ranked Solo/Duo dan Flex di server North America untuk patch 26.20, memakai timeline match Riot untuk snapshot menit ke-15. Semua rank digabung di halaman ini; aplikasi desktop MetaBot membagi tabel yang sama ke bracket Iron–Silver, Gold–Platinum, dan Emerald+. Remake dan antrean non-ranked tidak dihitung, dan lane hanya dihitung jika tepat satu pemain per tim memegang role tersebut.