Laner Top Lane Terbaik - Statistik Lane Phase
Patch 26.20
93 champion Top Lane diurutkan berdasarkan performa melawan lawan lane di menit 15 pada patch 26.20, dari 19.342 game ranked. Irelia paling dominan di lane dengan rata-rata unggul +752 gold dan unggul di 64% game. Dr. Mundo paling sering mengubah keunggulan gold jadi kemenangan (69%), sementara Ornn paling jago bangkit dari ketertinggalan (48%).
- Patch
- 26.20
- Laner terkuat
- Irelia · +752
- Lane win rate tertinggi
- Illaoi · 66.2%
- Terbaik menutup keunggulan
- Dr. Mundo · 68.8%
- Terbaik dari posisi tertinggal
- Ornn · 47.5%
- Solo kill terbanyak
- Irelia · 2.16
Top Lane
Gold–Platinum
Gold lead di menit 15
Patch 26.20 · Gold–Platinum · NA ranked Solo/Duo & Flex · Game: 19.342
Irelia adalah lane bully Top Lane di patch 26.20: rata-rata unggul +752 gold, +20,3 CS, dan +314 XP atas laner musuh di menit 15, dan unggul di 64% game. Di seluruh role, 31% champion dengan sampel penuh punya keunggulan gold yang jelas secara statistik di menit 15.
Menang lane dan menang game adalah dua skill berbeda. Dr. Mundo mengubah keunggulan gold jadi kemenangan 69% dari waktu, terbaik di role ini, sementara Ornn menang 48% game yang dimulai dari ketertinggalan, profil comeback terkuat. Irelia mengambil solo kill terbanyak sebelum menit 15 (2.16 per game) dan Tryndamere mendapat first blood di 26% game.
Angka ini berasal dari 19.342 game ranked Solo/Duo dan Flex di server North America, patch 26.20, Gold–Platinum. 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 | +752 | +20,3 | +314 | 64.1% | 57.5% | 30.6% | 2.16 | 24.5% | −5,1 | 47.9% | 1.8% | 682 | |
| 2 | Lane bully | +667 | +19,5 | +612 | 66.2% | 56.2% | 36.6% | 1.60 | 10.6% | −11,2 | 49.8% | 2.3% | 885 | |
| 3 | Lane bully | +512 | +1,9 | +304 | 61.9% | 59.4% | 33.3% | 2.01 | 22.9% | −4,2 | 49.3% | 0.9% | 367 | |
| 4 | Lane bully | +495 | +14,8 | +471 | 64.8% | 56.4% | 33.8% | 1.44 | 8.2% | −0,8 | 48.0% | 1.1% | 427 | |
| 5 | Lane bully | +403 | +7,0 | +176 | 59.0% | 56.9% | 31.8% | 1.81 | 25.5% | −8,2 | 46.7% | 2.1% | 805 | |
| 6 | Lane bully | +379 | +8,7 | +466 | 59.4% | 55.6% | 29.8% | 1.84 | 11.4% | −10,0 | 45.5% | 2.0% | 769 | |
| 7 | Lane bully | +298 | +3,6 | +463 | 59.8% | 61.5% | 36.7% | 1.73 | 11.3% | +0,3 | 51.4% | 4.3% | 1.658 | |
| 8 | Lane bully | +281 | +6,1 | +269 | 57.0% | 60.8% | 36.3% | 1.64 | 13.4% | −0,7 | 49.8% | 2.5% | 949 | |
| 9 | Lane bully | +269 | +2,9 | +28 | 55.5% | 58.7% | 35.9% | 1.44 | 14.1% | +5,1 | 48.1% | 2.3% | 874 | |
| 10 | Lane bully | +239 | +2,6 | +85 | 54.3% | 63.8% | 37.6% | 1.83 | 19.4% | −2,9 | 51.6% | 3.0% | 1.161 | |
| 11 | Lane bully | +194 | +5,7 | +32 | 52.9% | 56.3% | 33.0% | 1.82 | 15.4% | 0,0 | 45.3% | 3.8% | 1.480 | |
| 12 | Lane bully | +180 | +3,6 | +327 | 55.6% | 57.5% | 39.6% | 1.96 | 15.1% | +3,4 | 49.9% | 1.0% | 385 | |
| 13 | Lane bully | +169 | +8,7 | −3 | 50.4% | 60.9% | 37.1% | 1.42 | 16.0% | −2,5 | 49.5% | 1.0% | 400 | |
| 14 | Seimbang | +159 | +5,6 | +407 | 55.7% | 52.8% | 31.4% | 1.63 | 8.1% | −12,1 | 43.8% | 1.0% | 397 | |
| 15 | Lane bully | +157 | +4,1 | +48 | 53.0% | 64.0% | 40.6% | 1.08 | 6.4% | −10,1 | 52.8% | 2.1% | 815 | |
| 16 | Lane bully | +144 | +1,7 | +209 | 53.0% | 62.6% | 39.9% | 1.39 | 12.3% | −5,8 | 52.0% | 4.6% | 1.788 | |
| 17 | Stabilizer | +125 | +2,0 | −55 | 52.2% | 61.0% | 43.1% | 1.78 | 18.9% | +11,3 | 52.7% | 1.1% | 433 | |
| 18 | Seimbang | +114 | −4,2 | +55 | 50.9% | 59.1% | 31.8% | 1.99 | 22.2% | −2,9 | 46.1% | 0.6% | 230 | |
| 19 | Stabilizer | +57 | −2,3 | −28 | 53.1% | 58.6% | 43.7% | 1.79 | 21.7% | +2,3 | 51.5% | 1.4% | 561 | |
| 20 | Seimbang | +43 | +3,6 | +209 | 51.8% | 57.0% | 39.4% | 1.36 | 7.9% | +3,5 | 48.3% | 1.5% | 584 | |
| 21 | Stabilizer | +30 | −3,4 | −93 | 49.7% | 64.4% | 41.6% | 1.77 | 21.2% | −1,7 | 53.0% | 4.3% | 1.657 | |
| 22 | Seimbang | +25 | −0,5 | +242 | 51.0% | 50.3% | 37.6% | 1.43 | 10.3% | +1,6 | 43.8% | 0.8% | 290 | |
| 23 | Stabilizer | +21 | −2,9 | −300 | 50.7% | 60.3% | 41.2% | 1.38 | 18.3% | −2,6 | 50.5% | 1.3% | 503 | |
| 24 | Seimbang | +18 | +7,3 | −149 | 50.2% | 64.9% | 37.3% | 1.51 | 17.5% | −3,8 | 51.1% | 1.4% | 526 | |
| 25 | Seimbang | +16 | +5,8 | −88 | 49.6% | 60.6% | 41.0% | 1.28 | 11.1% | +0,6 | 50.9% | 4.0% | 1.567 | |
| 26 | Seimbang | +8 | −0,4 | +189 | 53.0% | 60.0% | 37.4% | 1.63 | 14.9% | +4,3 | 49.5% | 1.1% | 424 | |
| 27 | Seimbang | −10 | 0,0 | −147 | 49.9% | 60.4% | 40.7% | 1.71 | 19.5% | +1,7 | 50.7% | 1.9% | 728 | |
| 28 | Seimbang | −28 | +4,1 | −73 | 50.6% | 66.7% | 36.6% | 1.63 | 15.3% | +1,7 | 51.8% | 3.6% | 1.412 | |
| 29 | Stabilizer | −70 | −4,5 | −119 | 49.8% | 63.3% | 45.0% | 1.80 | 16.6% | −8,5 | 54.1% | 0.7% | 259 | |
| 30 | Stabilizer | −81 | −4,7 | +310 | 50.8% | 64.3% | 41.0% | 1.49 | 8.7% | +5,9 | 52.8% | 1.6% | 606 | |
| 31 | Stabilizer | −82 | +1,5 | −110 | 45.9% | 61.0% | 42.8% | 0.92 | 6.4% | +5,2 | 51.1% | 1.6% | 622 | |
| 32 | Seimbang | −115 | −4,8 | −140 | 47.7% | 60.6% | 40.0% | 1.45 | 17.1% | −2,5 | 49.7% | 2.4% | 944 | |
| 33 | Seimbang | −128 | −4,9 | −301 | 47.4% | 55.3% | 37.7% | 1.43 | 16.4% | +4,5 | 45.8% | 1.2% | 463 | |
| 34 | Snowballer | −147 | −5,3 | −31 | 46.1% | 66.7% | 30.7% | 1.49 | 16.2% | +1,8 | 47.9% | 1.3% | 507 | |
| 35 | Scaler | −157 | −4,2 | +41 | 47.0% | 67.2% | 44.7% | 1.33 | 11.2% | +5,1 | 55.3% | 2.2% | 854 | |
| 36 | Seimbang | −182 | −8,9 | −206 | 45.6% | 63.8% | 36.9% | 1.65 | 15.9% | −1,1 | 49.1% | 2.5% | 970 | |
| 37 | Scaler | −207 | −7,2 | +65 | 43.8% | 57.5% | 33.7% | 1.17 | 7.2% | +4,0 | 44.5% | 0.8% | 292 | |
| 38 | Seimbang | −215 | +2,8 | −293 | 48.4% | 62.7% | 35.7% | 1.19 | 11.3% | +5,8 | 48.8% | 0.6% | 248 | |
| 39 | Stabilizer | −217 | −8,8 | +102 | 45.4% | 61.0% | 42.9% | 1.08 | 4.9% | −3,3 | 51.0% | 3.2% | 1.247 | |
| 40 | Scaler | −263 | −4,0 | −291 | 44.9% | 61.5% | 34.3% | 1.30 | 11.1% | +4,0 | 46.5% | 1.4% | 561 | |
| 41 | Scaler | −275 | −0,3 | −288 | 45.0% | 56.8% | 34.5% | 1.28 | 10.7% | +11,0 | 45.3% | 0.6% | 214 | |
| 42 | Scaler | −335 | −8,4 | −205 | 42.4% | 62.8% | 38.8% | 1.43 | 9.7% | +8,2 | 49.2% | 1.4% | 545 | |
| 43 | Seimbang | −413 | +2,1 | −673 | 40.8% | 65.8% | 39.2% | 0.88 | 10.3% | −2,6 | 50.1% | 1.5% | 585 | |
| 44 | Scaler | −434 | −8,8 | −132 | 39.1% | 64.9% | 47.5% | 1.00 | 6.6% | +4,9 | 54.6% | 1.7% | 647 | |
| 45 | Scaler | −514 | −7,3 | −289 | 37.6% | 68.8% | 40.5% | 0.69 | 3.9% | +6,8 | 51.4% | 2.2% | 846 | |
| 46 | Scaler | −633 | −15,0 | −336 | 34.9% | 63.2% | 42.5% | 0.83 | 3.2% | +6,6 | 49.9% | 2.7% | 1.041 | |
| 47 | Stabilizer | −645 | −21,5 | −370 | 34.1% | 60.8% | 46.1% | 1.04 | 13.2% | −1,0 | 51.0% | 2.0% | 767 | |
| 48 | Scaler | −686 | −10,2 | −600 | 31.6% | 63.4% | 47.0% | 0.87 | 10.8% | +7,3 | 52.5% | 1.4% | 528 | |
| 49 | Lane bully | +565 | +19,9 | +211 | 67.2% | 51.2% | — | 1.67 | 7.9% | — | 46.0% | 0.2% | 63Sampel kecil | |
| 50 | Seimbang | +524 | +17,3 | −103 | 51.4% | — | — | 1.19 | 8.3% | — | 50.0% | 0.1% | 36Sampel kecil | |
| 51 | Seimbang | +462 | −0,5 | +372 | 63.4% | — | — | 2.24 | 14.6% | — | 46.3% | 0.1% | 41Sampel kecil | |
| 52 | Seimbang | +405 | +17,7 | −241 | 61.1% | — | — | 1.36 | 19.4% | — | 33.3% | 0.1% | 36Sampel kecil | |
| 53 | Seimbang | +386 | +16,3 | +537 | 60.3% | 60.0% | — | 2.07 | 10.3% | — | 51.7% | 0.1% | 58Sampel kecil | |
| 54 | Seimbang | +378 | +16,7 | +97 | 51.6% | 62.5% | 20.0% | 2.02 | 24.2% | — | 41.9% | 0.2% | 62Sampel kecil | |
| 55 | Seimbang | +365 | +0,2 | +143 | 57.7% | 51.2% | 23.3% | 1.54 | 4.2% | — | 38.9% | 0.2% | 72Sampel kecil | |
| 56 | Seimbang | +358 | +10,7 | +124 | 62.5% | — | — | 1.63 | 12.5% | — | 43.8% | 0.1% | 32Sampel kecil | |
| 57 | Stabilizer | +351 | +10,0 | +262 | 54.7% | 60.3% | 41.7% | 2.01 | 20.2% | +9,8 | 53.2% | 0.3% | 109Sampel kecil | |
| 58 | Seimbang | +259 | −3,2 | +602 | 60.4% | — | — | 1.65 | 8.3% | — | 68.8% | 0.1% | 48Sampel kecil | |
| 59 | Seimbang | +253 | −1,7 | +132 | 52.2% | — | — | 1.91 | 14.9% | — | 42.6% | 0.1% | 47Sampel kecil | |
| 60 | Seimbang | +252 | +7,6 | +524 | 57.3% | 56.9% | 18.4% | 1.41 | 16.7% | −13,7 | 41.1% | 0.2% | 90Sampel kecil | |
| 61 | Seimbang | +237 | +3,8 | +121 | 56.1% | 51.4% | — | 1.26 | 8.7% | — | 46.4% | 0.2% | 69Sampel kecil | |
| 62 | Seimbang | +193 | −5,2 | +57 | 45.9% | — | — | 2.03 | 35.1% | — | 40.5% | 0.1% | 37Sampel kecil | |
| 63 | Seimbang | +173 | +13,0 | +210 | 58.8% | — | — | 1.71 | 17.6% | — | 61.8% | 0.1% | 34Sampel kecil | |
| 64 | Seimbang | +128 | +0,4 | +457 | 48.8% | 66.7% | 36.6% | 1.48 | 13.6% | — | 50.6% | 0.2% | 81Sampel kecil | |
| 65 | Seimbang | +128 | −8,4 | −704 | 51.4% | — | — | 1.03 | 14.3% | — | 57.1% | 0.1% | 35Sampel kecil | |
| 66 | Stabilizer | +81 | −4,0 | −219 | 56.5% | 61.5% | 43.8% | 1.29 | 12.9% | +0,5 | 53.2% | 0.5% | 186Sampel kecil | |
| 67 | Stabilizer | +74 | +14,1 | −145 | 52.3% | 49.3% | 44.3% | 0.81 | 3.8% | −10,3 | 47.7% | 0.3% | 130Sampel kecil | |
| 68 | Seimbang | +1 | +6,3 | +287 | 55.0% | — | — | 1.05 | 10.0% | — | 35.0% | 0.1% | 40Sampel kecil | |
| 69 | Seimbang | −25 | −7,5 | −192 | 45.5% | — | — | 1.80 | 31.8% | — | 56.8% | 0.1% | 44Sampel kecil | |
| 70 | Seimbang | −42 | −2,1 | +150 | 51.2% | 58.7% | 40.0% | 1.91 | 20.8% | −8,8 | 49.6% | 0.3% | 125Sampel kecil | |
| 71 | Seimbang | −47 | −6,4 | +248 | 52.0% | — | — | 1.88 | 9.8% | — | 47.1% | 0.1% | 51Sampel kecil | |
| 72 | Seimbang | −49 | +6,9 | +13 | 49.3% | 54.3% | 25.0% | 1.58 | 12.7% | — | 39.4% | 0.2% | 71Sampel kecil | |
| 73 | Stabilizer | −106 | +5,2 | +165 | 51.0% | 55.8% | 44.6% | 1.26 | 6.5% | −3,5 | 51.0% | 0.4% | 153Sampel kecil | |
| 74 | Seimbang | −137 | −9,1 | −240 | 41.9% | — | — | 1.65 | 16.1% | — | 35.5% | 0.1% | 31Sampel kecil | |
| 75 | Stabilizer | −190 | +1,0 | −143 | 50.0% | 65.7% | 43.9% | 1.26 | 9.5% | +9,0 | 54.7% | 0.3% | 137Sampel kecil | |
| 76 | Seimbang | −204 | −6,3 | +109 | 47.4% | — | — | 0.79 | 13.2% | — | 55.3% | 0.1% | 38Sampel kecil | |
| 77 | Seimbang | −247 | −5,6 | −223 | 40.8% | — | — | 0.76 | 8.0% | — | 52.0% | 0.1% | 50Sampel kecil | |
| 78 | Seimbang | −248 | −19,7 | −554 | 41.8% | 57.6% | 34.8% | 1.99 | 28.4% | — | 44.4% | 0.2% | 81Sampel kecil | |
| 79 | Seimbang | −280 | −8,7 | −195 | 34.2% | — | — | 1.26 | 5.3% | — | 42.1% | 0.1% | 38Sampel kecil | |
| 80 | Stabilizer | −351 | −16,7 | +114 | 36.6% | — | 55.6% | 1.07 | 11.1% | — | 62.5% | 0.2% | 72Sampel kecil | |
| 81 | Scaler | −376 | −15,2 | −527 | 43.5% | 65.7% | 33.3% | 1.65 | 27.8% | +7,9 | 46.8% | 0.4% | 158Sampel kecil | |
| 82 | Seimbang | −383 | −1,9 | −732 | 36.7% | — | — | 0.93 | 20.0% | — | 40.0% | 0.1% | 30Sampel kecil | |
| 83 | Scaler | −390 | −9,4 | −156 | 42.3% | 64.8% | 51.5% | 1.40 | 8.3% | +13,7 | 56.8% | 0.4% | 169Sampel kecil | |
| 84 | Seimbang | −412 | −1,0 | −230 | 32.3% | — | — | 0.81 | 0.0% | — | 61.3% | 0.1% | 31Sampel kecil | |
| 85 | Scaler | −456 | −7,1 | −433 | 37.4% | 51.2% | 37.5% | 0.84 | 12.1% | +9,9 | 43.1% | 0.3% | 116Sampel kecil | |
| 86 | Seimbang | −469 | −14,2 | −109 | 38.5% | — | — | 0.60 | 5.0% | — | 57.5% | 0.1% | 40Sampel kecil | |
| 87 | Seimbang | −482 | −0,8 | −612 | 44.1% | 73.3% | 36.8% | 0.83 | 10.0% | — | 52.9% | 0.2% | 70Sampel kecil | |
| 88 | Seimbang | −505 | −15,9 | −438 | 42.9% | — | — | 1.46 | 14.3% | — | 42.9% | 0.1% | 35Sampel kecil | |
| 89 | Stabilizer | −531 | −5,1 | −864 | 34.6% | 63.9% | 57.4% | 1.15 | 22.1% | — | 59.6% | 0.3% | 104Sampel kecil | |
| 90 | Stabilizer | −710 | −14,4 | −349 | 23.8% | — | 50.0% | 0.88 | 4.7% | — | 53.1% | 0.2% | 64Sampel kecil | |
| 91 | Seimbang | −726 | −9,4 | −919 | 30.9% | — | 26.3% | 0.63 | 3.5% | — | 36.8% | 0.1% | 57Sampel kecil | |
| 92 | Stabilizer | −868 | −10,6 | −1.095 | 22.6% | — | 41.7% | 0.41 | 9.5% | — | 47.6% | 0.2% | 63Sampel kecil | |
| 93 | Stabilizer | −890 | −12,4 | −887 | 29.8% | — | 51.5% | 0.72 | 4.3% | — | 53.2% | 0.1% | 47Sampel 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+752 gold di menit 15, unggul di 64% lane
Illaoi+667 gold di menit 15, unggul di 66% lane
Kled+512 gold di menit 15, unggul di 62% lane
Heimerdinger+495 gold di menit 15, unggul di 65% lane
Tryndamere+403 gold di menit 15, unggul di 59% lane
Snowballer
Mengubah keunggulan besar jadi kemenangan jauh lebih sering daripada bangkit dari ketertinggalan.
CamilleMenang 73% dengan keunggulan 1.000+ gold, 31% saat tertinggal
Scaler
Bertahan di lane yang sulit dan makin sering menang semakin lama game berjalan.
Rumble−275 gold di menit 15, win rate naik +11,0 poin di late game
Zaahen−335 gold di menit 15, win rate naik +8,2 poin di late game
Kayle−686 gold di menit 15, win rate naik +7,3 poin di late game
Dr. Mundo−514 gold di menit 15, win rate naik +6,8 poin di late game
Nasus−633 gold di menit 15, win rate naik +6,6 poin di late game
Stabilizer
Sering bangkit dari ketertinggalan - kalah lane jarang berarti kalah game.
ShenMenang 46% game dari posisi tertinggal (−645 gold di menit 15)
WarwickMenang 45% game dari posisi tertinggal (−70 gold di menit 15)
PantheonMenang 44% game dari posisi tertinggal (+57 gold di menit 15)
OlafMenang 43% game dari posisi tertinggal (+125 gold di menit 15)
MalphiteMenang 43% game dari posisi tertinggal (−217 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: 19.342 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.
Lihat Juga
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 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 +752 gold dan +20,3 CS atas lawan lane di menit 15, unggul di 64% game, dari 682 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, Dr. Mundo mengubah keunggulan gold di menit 15 jadi kemenangan 69% dari waktu, sementara Ornn tetap menang 48% 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, 15 champion Top Lane dengan sampel penuh punya keunggulan gold yang jelas secara statistik di menit 15. Yang terbesar: Irelia, Illaoi, Kled, Heimerdinger, 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 19.342 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.