Laner Support Terbaik - Statistik Lane Phase
Patch 26.20
112 champion Support diurutkan berdasarkan performa melawan lawan lane di menit 15 pada patch 26.20, dari 62.877 game ranked. Elise paling dominan di lane dengan rata-rata unggul +559 gold dan unggul di 71% game. Milio paling sering mengubah keunggulan gold jadi kemenangan (68%), sementara Milio paling jago bangkit dari ketertinggalan (43%).
- Patch
- 26.20
- Laner terkuat
- Elise · +559
- Lane win rate tertinggi
- Elise · 71.4%
- Terbaik menutup keunggulan
- Milio · 67.7%
- Terbaik dari posisi tertinggal
- Milio · 43.3%
- Solo kill terbanyak
- LeBlanc · 0.22
Support
Semua rank
Gold lead di menit 15
Patch 26.20 · Semua rank · NA ranked Solo/Duo & Flex · Game: 62.877
Elise adalah lane bully Support di patch 26.20: rata-rata unggul +559 gold, +0,1 CS, dan −103 XP atas laner musuh di menit 15, dan unggul di 71% game. Di seluruh role, 48% champion dengan sampel penuh punya keunggulan gold yang jelas secara statistik di menit 15.
Menang lane dan menang game adalah dua skill berbeda. Milio mengubah keunggulan gold jadi kemenangan 68% dari waktu, terbaik di role ini, sementara Milio menang 43% game yang dimulai dari ketertinggalan, profil comeback terkuat. LeBlanc mengambil solo kill terbanyak sebelum menit 15 (0.22 per game) dan Mel mendapat first blood di 15% game.
Angka ini berasal dari 62.877 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 Support 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 | +559 | +0,1 | −103 | 71.4% | 52.4% | 33.8% | 0.16 | 10.7% | −1,6 | 47.1% | 0.2% | 261 | |
| 2 | Lane bully | +415 | +6,4 | +90 | 60.1% | 57.8% | 37.4% | 0.14 | 12.4% | −2,6 | 49.5% | 0.2% | 275 | |
| 3 | Lane bully | +371 | +5,0 | +91 | 64.0% | 54.0% | 35.2% | 0.19 | 14.7% | +5,5 | 47.2% | 0.9% | 1.083 | |
| 4 | Lane bully | +357 | +2,8 | +24 | 64.6% | 59.6% | 36.3% | 0.18 | 12.2% | −8,8 | 52.0% | 0.4% | 450 | |
| 5 | Lane bully | +347 | +0,7 | −87 | 64.3% | 53.6% | 32.5% | 0.22 | 12.7% | −1,1 | 45.6% | 0.3% | 331 | |
| 6 | Lane bully | +338 | +1,1 | −85 | 62.3% | 55.8% | 35.5% | 0.13 | 11.2% | −2,3 | 48.1% | 2.0% | 2.491 | |
| 7 | Lane bully | +322 | +1,3 | +109 | 62.4% | 60.1% | 34.2% | 0.06 | 3.9% | −0,6 | 50.4% | 3.1% | 3.910 | |
| 8 | Lane bully | +309 | +3,9 | +162 | 62.2% | 57.6% | 38.3% | 0.12 | 10.0% | −3,3 | 50.3% | 2.3% | 2.849 | |
| 9 | Lane bully | +294 | −2,5 | −112 | 61.8% | 55.4% | 36.4% | 0.12 | 12.1% | +1,8 | 48.1% | 2.8% | 3.484 | |
| 10 | Lane bully | +294 | +0,3 | −182 | 62.8% | 51.9% | 42.4% | 0.19 | 11.9% | +1,2 | 48.5% | 0.3% | 379 | |
| 11 | Lane bully | +285 | +2,9 | +174 | 62.5% | 58.0% | 36.4% | 0.18 | 5.1% | −1,3 | 50.0% | 1.7% | 2.087 | |
| 12 | Lane bully | +275 | +6,7 | +108 | 61.6% | 56.0% | 31.3% | 0.10 | 4.2% | +2,9 | 47.1% | 0.2% | 261 | |
| 13 | Lane bully | +269 | −1,4 | −366 | 59.0% | 55.5% | 24.8% | 0.13 | 13.8% | +0,6 | 42.9% | 0.5% | 637 | |
| 14 | Lane bully | +264 | +2,9 | +273 | 62.6% | 57.6% | 35.9% | 0.15 | 4.1% | −4,1 | 49.6% | 1.4% | 1.741 | |
| 15 | Lane bully | +244 | +7,0 | −2 | 59.9% | 57.9% | 30.9% | 0.13 | 11.0% | +3,8 | 47.2% | 0.2% | 246 | |
| 16 | Lane bully | +226 | +3,5 | +149 | 59.6% | 59.1% | 37.1% | 0.12 | 8.2% | −7,2 | 50.3% | 6.0% | 7.484 | |
| 17 | Lane bully | +164 | +2,7 | +55 | 56.9% | 60.5% | 40.1% | 0.10 | 7.2% | −0,5 | 51.6% | 2.1% | 2.694 | |
| 18 | Lane bully | +146 | +4,9 | +89 | 58.5% | 49.2% | 37.5% | 0.14 | 6.9% | +1,3 | 44.2% | 0.2% | 217 | |
| 19 | Lane bully | +138 | +3,0 | +51 | 58.1% | 60.7% | 33.7% | 0.15 | 7.8% | +0,1 | 49.6% | 0.4% | 490 | |
| 20 | Lane bully | +135 | +4,6 | +202 | 54.8% | 49.7% | 36.5% | 0.12 | 9.6% | −4,4 | 44.3% | 0.2% | 282 | |
| 21 | Lane bully | +131 | +1,5 | +102 | 56.5% | 58.0% | 36.6% | 0.12 | 6.7% | −0,7 | 48.7% | 2.0% | 2.567 | |
| 22 | Lane bully | +118 | +3,0 | +51 | 56.1% | 59.9% | 38.5% | 0.08 | 5.7% | +0,1 | 50.5% | 1.8% | 2.314 | |
| 23 | Lane bully | +112 | +5,0 | +21 | 52.6% | 59.9% | 36.8% | 0.10 | 4.8% | −4,4 | 49.1% | 0.5% | 660 | |
| 24 | Lane bully | +110 | +3,2 | −56 | 54.3% | 60.5% | 39.8% | 0.07 | 7.8% | +8,0 | 51.2% | 0.2% | 283 | |
| 25 | Lane bully | +108 | +1,6 | +70 | 56.1% | 60.4% | 38.0% | 0.07 | 6.5% | −2,3 | 50.6% | 3.9% | 4.955 | |
| 26 | Lane bully | +90 | +2,4 | +3 | 53.5% | 54.4% | 38.5% | 0.10 | 7.2% | −7,3 | 47.2% | 1.1% | 1.319 | |
| 27 | Lane bully | +88 | −1,2 | +54 | 54.5% | 61.7% | 37.8% | 0.08 | 7.7% | −1,5 | 50.9% | 5.5% | 6.854 | |
| 28 | Seimbang | +62 | −0,3 | −255 | 50.4% | 61.4% | 40.4% | 0.10 | 11.9% | −0,9 | 50.9% | 0.6% | 705 | |
| 29 | Seimbang | +55 | +2,8 | +18 | 53.6% | 64.0% | 37.1% | 0.09 | 10.1% | −1,9 | 51.3% | 0.5% | 643 | |
| 30 | Stabilizer | +19 | +2,1 | −95 | 53.1% | 60.8% | 42.8% | 0.09 | 8.9% | +3,5 | 51.9% | 0.5% | 617 | |
| 31 | Seimbang | +11 | −0,1 | −138 | 51.1% | 60.2% | 33.5% | 0.09 | 8.4% | +0,9 | 47.6% | 0.8% | 980 | |
| 32 | Seimbang | +11 | +4,2 | +45 | 52.2% | 52.2% | 34.7% | 0.12 | 9.0% | +2,4 | 43.7% | 0.5% | 567 | |
| 33 | Seimbang | −15 | −5,0 | −29 | 49.9% | 62.1% | 37.3% | 0.05 | 8.1% | −1,2 | 49.4% | 1.4% | 1.709 | |
| 34 | Seimbang | −61 | +2,9 | −86 | 45.0% | 59.4% | 39.6% | 0.06 | 6.6% | +1,3 | 48.5% | 0.6% | 726 | |
| 35 | Scaler | −70 | +0,9 | −108 | 47.8% | 63.2% | 41.8% | 0.06 | 7.8% | +2,6 | 52.2% | 1.0% | 1.295 | |
| 36 | Seimbang | −71 | −0,3 | +2 | 46.9% | 60.7% | 37.1% | 0.05 | 3.2% | −1,2 | 48.3% | 2.3% | 2.850 | |
| 37 | Seimbang | −88 | +2,6 | +270 | 45.2% | 63.2% | 40.5% | 0.04 | 3.4% | −0,7 | 50.7% | 1.2% | 1.549 | |
| 38 | Seimbang | −100 | +0,8 | −23 | 47.3% | 63.0% | 40.2% | 0.05 | 6.8% | −1,0 | 51.1% | 5.7% | 7.134 | |
| 39 | Stabilizer | −102 | −0,8 | −106 | 43.8% | 61.2% | 43.0% | 0.07 | 9.7% | −4,6 | 51.2% | 0.4% | 455 | |
| 40 | Seimbang | −113 | +2,7 | −16 | 43.7% | 56.1% | 39.0% | 0.05 | 3.7% | −2,8 | 46.4% | 0.6% | 761 | |
| 41 | Stabilizer | −126 | −0,8 | −47 | 45.9% | 63.8% | 42.7% | 0.04 | 6.2% | 0,0 | 52.2% | 4.2% | 5.307 | |
| 42 | Scaler | −129 | −0,5 | −90 | 45.0% | 62.6% | 39.3% | 0.06 | 7.8% | +1,8 | 49.8% | 4.8% | 5.980 | |
| 43 | Seimbang | −129 | −1,0 | −154 | 46.0% | 65.1% | 39.7% | 0.05 | 6.8% | −0,2 | 51.4% | 1.4% | 1.753 | |
| 44 | Scaler | −148 | −3,2 | −82 | 43.1% | 64.5% | 39.0% | 0.05 | 4.7% | +1,9 | 49.9% | 2.3% | 2.879 | |
| 45 | Stabilizer | −183 | −4,1 | −7 | 41.6% | 67.0% | 41.2% | 0.04 | 3.9% | −0,5 | 51.9% | 4.3% | 5.463 | |
| 46 | Seimbang | −184 | −3,1 | −89 | 42.5% | 64.1% | 40.2% | 0.07 | 6.2% | −2,2 | 50.4% | 3.1% | 3.947 | |
| 47 | Scaler | −186 | +3,3 | −28 | 42.8% | 67.3% | 42.4% | 0.05 | 7.2% | +4,0 | 53.0% | 0.8% | 1.018 | |
| 48 | Scaler | −217 | −0,9 | −65 | 40.6% | 62.6% | 42.4% | 0.03 | 3.0% | +5,2 | 50.6% | 0.7% | 899 | |
| 49 | Scaler | −218 | +0,3 | −139 | 39.1% | 65.7% | 39.2% | 0.03 | 4.7% | +1,7 | 49.5% | 1.5% | 1.931 | |
| 50 | Scaler | −221 | −2,7 | −15 | 39.9% | 67.4% | 40.0% | 0.04 | 4.6% | +3,2 | 51.0% | 3.8% | 4.789 | |
| 51 | Stabilizer | −243 | −3,6 | −108 | 39.5% | 66.2% | 41.1% | 0.04 | 4.4% | +0,1 | 51.1% | 1.7% | 2.117 | |
| 52 | Scaler | −251 | −3,8 | −35 | 38.1% | 65.1% | 42.9% | 0.02 | 3.1% | +6,4 | 51.3% | 2.5% | 3.210 | |
| 53 | Scaler | −253 | −1,3 | −89 | 39.7% | 66.7% | 40.2% | 0.03 | 4.5% | +8,1 | 50.6% | 2.1% | 2.697 | |
| 54 | Stabilizer | −257 | −2,2 | −181 | 39.7% | 64.3% | 43.1% | 0.04 | 4.4% | +0,2 | 51.6% | 1.9% | 2.348 | |
| 55 | Scaler | −290 | −3,1 | −53 | 35.6% | 67.7% | 43.3% | 0.02 | 2.3% | +3,8 | 51.7% | 2.9% | 3.654 | |
| 56 | Scaler | −366 | −10,4 | +233 | 35.5% | 64.5% | 38.2% | 0.03 | 2.7% | +8,4 | 47.5% | 2.1% | 2.600 | |
| 57 | Lane bully | +904 | +4,1 | +127 | 76.6% | 53.1% | — | 0.25 | 15.4% | — | 49.2% | 0.1% | 65Sampel kecil | |
| 58 | Lane bully | +785 | +11,5 | +75 | 80.0% | — | — | 0.19 | 19.4% | — | 29.0% | 0.0% | 31Sampel kecil | |
| 59 | Lane bully | +670 | +0,4 | −230 | 70.1% | 48.1% | 25.0% | 0.21 | 16.4% | −2,6 | 41.3% | 0.1% | 189Sampel kecil | |
| 60 | Lane bully | +574 | +9,8 | +209 | 75.0% | 51.9% | — | 0.18 | 8.2% | — | 46.6% | 0.1% | 73Sampel kecil | |
| 61 | Lane bully | +565 | +2,1 | −84 | 69.4% | 48.8% | — | 0.25 | 9.5% | — | 39.7% | 0.1% | 63Sampel kecil | |
| 62 | Lane bully | +541 | +1,7 | +229 | 74.4% | — | — | 0.20 | 14.6% | — | 36.6% | 0.0% | 41Sampel kecil | |
| 63 | Lane bully | +493 | +3,1 | −68 | 64.5% | 47.9% | 28.2% | 0.27 | 20.7% | +13,5 | 41.4% | 0.1% | 111Sampel kecil | |
| 64 | Lane bully | +471 | +8,8 | +33 | 67.3% | 27.0% | — | 0.09 | 7.1% | — | 26.8% | 0.0% | 56Sampel kecil | |
| 65 | Lane bully | +464 | +3,5 | +27 | 63.9% | 53.9% | 34.9% | 0.10 | 18.3% | +4,5 | 47.5% | 0.1% | 120Sampel kecil | |
| 66 | Lane bully | +446 | +3,1 | −143 | 69.0% | 59.2% | — | 0.14 | 11.0% | — | 53.4% | 0.1% | 73Sampel kecil | |
| 67 | Lane bully | +438 | +8,3 | −135 | 61.0% | 44.4% | — | 0.22 | 8.5% | — | 33.9% | 0.1% | 59Sampel kecil | |
| 68 | Lane bully | +412 | +5,8 | −209 | 66.1% | 40.5% | — | 0.26 | 13.8% | — | 36.2% | 0.1% | 58Sampel kecil | |
| 69 | Lane bully | +387 | +7,2 | +34 | 64.2% | 37.2% | — | 0.09 | 10.3% | — | 30.9% | 0.1% | 68Sampel kecil | |
| 70 | Lane bully | +331 | +10,1 | +232 | 61.1% | 55.9% | 29.2% | 0.11 | 5.3% | +1,5 | 45.6% | 0.1% | 169Sampel kecil | |
| 71 | Lane bully | +318 | +4,3 | +56 | 64.3% | — | — | 0.17 | 9.5% | — | 52.4% | 0.0% | 42Sampel kecil | |
| 72 | Seimbang | +309 | +9,7 | −17 | 63.3% | — | — | 0.07 | 13.3% | — | 56.7% | 0.0% | 30Sampel kecil | |
| 73 | Lane bully | +302 | +7,4 | +294 | 62.6% | 57.0% | 32.8% | 0.12 | 5.8% | −13,3 | 48.0% | 0.1% | 171Sampel kecil | |
| 74 | Seimbang | +300 | +8,6 | −167 | 56.1% | — | — | 0.12 | 12.2% | — | 46.3% | 0.0% | 41Sampel kecil | |
| 75 | Lane bully | +275 | +1,7 | −56 | 60.0% | 64.1% | — | 0.15 | 10.4% | — | 49.3% | 0.1% | 67Sampel kecil | |
| 76 | Lane bully | +256 | +0,7 | −27 | 58.7% | 56.3% | 42.0% | 0.15 | 15.3% | −6,4 | 50.8% | 0.1% | 124Sampel kecil | |
| 77 | Seimbang | +232 | +4,0 | −412 | 49.2% | 58.1% | 25.0% | 0.27 | 9.5% | — | 41.3% | 0.1% | 63Sampel kecil | |
| 78 | Lane bully | +227 | +3,8 | −24 | 57.5% | 60.0% | 32.4% | 0.02 | 7.7% | +3,3 | 48.4% | 0.1% | 91Sampel kecil | |
| 79 | Seimbang | +219 | +9,5 | −255 | 58.8% | 53.3% | — | 0.11 | 17.0% | — | 43.4% | 0.0% | 53Sampel kecil | |
| 80 | Seimbang | +217 | +12,1 | −6 | 50.0% | — | — | 0.09 | 17.1% | — | 48.6% | 0.0% | 35Sampel kecil | |
| 81 | Seimbang | +216 | +7,8 | +106 | 59.1% | — | — | 0.13 | 11.1% | — | 51.1% | 0.0% | 45Sampel kecil | |
| 82 | Seimbang | +203 | +14,5 | −39 | 60.6% | — | — | 0.09 | 12.1% | — | 33.3% | 0.0% | 33Sampel kecil | |
| 83 | Seimbang | +146 | +5,7 | +75 | 56.3% | 57.5% | 38.7% | 0.21 | 8.3% | — | 48.6% | 0.1% | 72Sampel kecil | |
| 84 | Seimbang | +136 | +7,2 | −179 | 58.9% | 50.9% | 35.1% | 0.04 | 7.7% | −12,8 | 44.0% | 0.1% | 91Sampel kecil | |
| 85 | Seimbang | +129 | +5,3 | +41 | 56.8% | — | — | 0.11 | 10.8% | — | 51.4% | 0.0% | 37Sampel kecil | |
| 86 | Seimbang | +124 | −1,3 | −340 | 60.7% | 58.8% | 18.2% | 0.09 | 7.1% | −17,5 | 43.5% | 0.1% | 85Sampel kecil | |
| 87 | Seimbang | +120 | +4,1 | +58 | 53.1% | — | — | 0.06 | 4.0% | — | 54.0% | 0.0% | 50Sampel kecil | |
| 88 | Seimbang | +114 | +1,5 | +38 | 54.8% | 55.8% | 33.8% | 0.08 | 7.6% | −5,5 | 45.9% | 0.1% | 157Sampel kecil | |
| 89 | Seimbang | +109 | +17,0 | +161 | 53.3% | 52.3% | 35.1% | 0.09 | 8.1% | +20,1 | 43.5% | 0.1% | 124Sampel kecil | |
| 90 | Seimbang | +107 | +5,8 | −37 | 57.9% | 58.6% | 33.3% | 0.03 | 5.0% | +4,4 | 47.9% | 0.1% | 121Sampel kecil | |
| 91 | Seimbang | +83 | +6,2 | −99 | 54.2% | 42.2% | 31.6% | 0.11 | 4.8% | — | 37.3% | 0.1% | 83Sampel kecil | |
| 92 | Seimbang | +73 | +16,0 | −72 | 50.0% | — | — | 0.14 | 2.0% | — | 44.0% | 0.0% | 50Sampel kecil | |
| 93 | Seimbang | +69 | +4,6 | −53 | 60.4% | 63.6% | 33.3% | 0.11 | 7.4% | −1,3 | 52.6% | 0.1% | 95Sampel kecil | |
| 94 | Seimbang | +50 | +11,7 | −22 | 47.4% | — | 20.0% | 0.16 | 3.4% | — | 37.9% | 0.1% | 58Sampel kecil | |
| 95 | Seimbang | +22 | +3,6 | −187 | 43.5% | — | 28.6% | 0.06 | 11.1% | — | 46.0% | 0.1% | 63Sampel kecil | |
| 96 | Stabilizer | +10 | +8,4 | −172 | 53.0% | 57.1% | 41.9% | 0.11 | 12.1% | — | 50.0% | 0.1% | 66Sampel kecil | |
| 97 | Seimbang | +4 | +9,8 | −232 | 48.4% | 45.2% | 33.3% | 0.12 | 9.0% | — | 37.3% | 0.1% | 67Sampel kecil | |
| 98 | Stabilizer | −3 | +0,2 | −410 | 52.8% | 50.0% | 50.0% | 0.10 | 13.7% | — | 49.3% | 0.1% | 73Sampel kecil | |
| 99 | Seimbang | −12 | +2,8 | −2 | 50.0% | 46.9% | 31.3% | 0.11 | 3.0% | — | 39.4% | 0.1% | 66Sampel kecil | |
| 100 | Stabilizer | −15 | +3,3 | −281 | 53.4% | 41.0% | 47.1% | 0.16 | 12.0% | — | 44.0% | 0.1% | 75Sampel kecil | |
| 101 | Seimbang | −18 | +19,4 | −29 | 51.5% | 51.4% | 27.3% | 0.17 | 4.3% | — | 39.1% | 0.1% | 69Sampel kecil | |
| 102 | Stabilizer | −41 | 0,0 | −70 | 48.9% | 72.8% | 49.0% | 0.06 | 6.9% | +1,6 | 60.8% | 0.1% | 189Sampel kecil | |
| 103 | Seimbang | −48 | +3,2 | −16 | 49.4% | 46.5% | 40.9% | 0.04 | 3.4% | — | 44.9% | 0.1% | 89Sampel kecil | |
| 104 | Seimbang | −53 | +1,5 | −175 | 48.0% | 62.8% | 36.6% | 0.10 | 6.0% | 0,0 | 48.9% | 0.1% | 184Sampel kecil | |
| 105 | Stabilizer | −53 | +5,8 | +154 | 47.1% | 61.2% | 43.6% | 0.10 | 2.9% | +10,3 | 51.4% | 0.1% | 105Sampel kecil | |
| 106 | Seimbang | −93 | +11,7 | −55 | 48.7% | — | — | 0.03 | 5.1% | — | 46.2% | 0.0% | 39Sampel kecil | |
| 107 | Seimbang | −110 | +13,9 | −159 | 45.5% | — | 36.7% | 0.02 | 3.6% | — | 47.3% | 0.0% | 55Sampel kecil | |
| 108 | Stabilizer | −128 | +2,1 | −264 | 46.5% | 51.5% | 42.1% | 0.11 | 8.3% | — | 45.8% | 0.1% | 72Sampel kecil | |
| 109 | Seimbang | −139 | +7,1 | −119 | 40.7% | — | 15.6% | 0.04 | 5.5% | — | 23.6% | 0.0% | 55Sampel kecil | |
| 110 | Seimbang | −227 | +8,7 | −160 | 45.8% | — | — | 0.19 | 4.2% | — | 37.5% | 0.0% | 48Sampel kecil | |
| 111 | Seimbang | −247 | +5,3 | −30 | 39.5% | 50.0% | 32.7% | 0.05 | 3.4% | — | 39.1% | 0.1% | 87Sampel kecil | |
| 112 | Scaler | −250 | −0,1 | −114 | 42.9% | 63.8% | 38.0% | 0.05 | 2.4% | +3,4 | 49.4% | 0.1% | 170Sampel 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 Support 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.
Snowballer
Mengubah keunggulan besar jadi kemenangan jauh lebih sering daripada bangkit dari ketertinggalan.
Tidak ada champion Support yang cocok dengan profil ini di patch saat ini.
Scaler
Bertahan di lane yang sulit dan makin sering menang semakin lama game berjalan.
Yuumi−366 gold di menit 15, win rate naik +8,4 poin di late game
Braum−253 gold di menit 15, win rate naik +8,1 poin di late game
Soraka−251 gold di menit 15, win rate naik +6,4 poin di late game
Renata Glasc−217 gold di menit 15, win rate naik +5,2 poin di late game
Taric−186 gold di menit 15, win rate naik +4,0 poin di late game
Stabilizer
Sering bangkit dari ketertinggalan - kalah lane jarang berarti kalah game.
AlistarMenang 43% game dari posisi tertinggal (−257 gold di menit 15)
AmumuMenang 43% game dari posisi tertinggal (−102 gold di menit 15)
TeemoMenang 43% game dari posisi tertinggal (+19 gold di menit 15)
LeonaMenang 43% game dari posisi tertinggal (−126 gold di menit 15)
NamiMenang 41% game dari posisi tertinggal (−183 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: 62.877 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
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FAQ Lane Phase LoL - Support, patch 26.20
Champion Support mana yang paling sering menang lane di patch 26.20?
Elise punya keunggulan lane Support terbesar di patch 26.20: rata-rata unggul +559 gold dan +0,1 CS atas lawan lane di menit 15, unggul di 71% game, dari 261 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 Support, Milio mengubah keunggulan gold di menit 15 jadi kemenangan 68% dari waktu, sementara Milio tetap menang 43% 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 Support mana yang jadi lane bully saat ini?
Di patch 26.20, 27 champion Support dengan sampel penuh punya keunggulan gold yang jelas secara statistik di menit 15. Yang terbesar: Elise, Sion, Mel, Zoe, LeBlanc. 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 62.877 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.