Laner Mid Lane Terbaik - Statistik Lane Phase
Patch 26.20
134 champion Mid Lane diurutkan berdasarkan performa melawan lawan lane di menit 15 pada patch 26.20, dari 63.008 game ranked. Irelia paling dominan di lane dengan rata-rata unggul +858 gold dan unggul di 68% game. Aurelion Sol paling sering mengubah keunggulan gold jadi kemenangan (70%), sementara Kog'Maw paling jago bangkit dari ketertinggalan (49%).
- Patch
- 26.20
- Laner terkuat
- Irelia · +858
- Lane win rate tertinggi
- Irelia · 67.9%
- Terbaik menutup keunggulan
- Aurelion Sol · 69.5%
- Terbaik dari posisi tertinggal
- Kog'Maw · 49.2%
- Solo kill terbanyak
- Irelia · 1.83
Mid Lane
Semua rank
Gold lead di menit 15
Patch 26.20 · Semua rank · NA ranked Solo/Duo & Flex · Game: 63.008
Irelia adalah lane bully Mid Lane di patch 26.20: rata-rata unggul +858 gold, +21,6 CS, dan +295 XP atas laner musuh di menit 15, dan unggul di 68% 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. Aurelion Sol mengubah keunggulan gold jadi kemenangan 70% dari waktu, terbaik di role ini, sementara Kog'Maw menang 49% game yang dimulai dari ketertinggalan, profil comeback terkuat. Irelia mengambil solo kill terbanyak sebelum menit 15 (1.83 per game) dan Tryndamere mendapat first blood di 22% game.
Angka ini berasal dari 63.008 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 Mid 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 | +858 | +21,6 | +295 | 67.9% | 57.5% | 30.4% | 1.83 | 19.9% | −7,9 | 48.6% | 1.4% | 1.749 | |
| 2 | Lane bully | +520 | +10,9 | +89 | 63.4% | 59.1% | 36.6% | 1.20 | 13.5% | −9,1 | 51.0% | 0.7% | 867 | |
| 3 | Lane bully | +506 | +4,5 | +259 | 65.0% | 61.7% | 40.3% | 1.10 | 11.8% | −5,1 | 54.4% | 0.3% | 373 | |
| 4 | Lane bully | +425 | −1,7 | +224 | 61.6% | 58.3% | 33.8% | 1.50 | 14.5% | −6,1 | 48.9% | 2.0% | 2.538 | |
| 5 | Lane bully | +390 | +6,1 | +109 | 60.0% | 61.8% | 38.5% | 1.34 | 22.4% | −10,7 | 52.7% | 0.2% | 241 | |
| 6 | Lane bully | +383 | −0,6 | +138 | 60.9% | 60.2% | 34.3% | 1.17 | 7.6% | +0,9 | 50.0% | 3.5% | 4.371 | |
| 7 | Lane bully | +354 | +13,4 | +205 | 59.6% | 54.8% | 32.7% | 1.18 | 10.5% | −1,4 | 45.9% | 2.0% | 2.522 | |
| 8 | Lane bully | +319 | +5,3 | −49 | 56.4% | 63.2% | 34.1% | 1.17 | 13.5% | −1,9 | 50.7% | 0.2% | 304 | |
| 9 | Lane bully | +318 | −7,0 | −60 | 56.8% | 59.1% | 34.2% | 1.30 | 14.8% | −2,4 | 48.5% | 3.0% | 3.772 | |
| 10 | Lane bully | +299 | +11,3 | +277 | 59.7% | 58.1% | 45.0% | 0.88 | 5.5% | −2,9 | 52.8% | 0.5% | 561 | |
| 11 | Lane bully | +292 | −1,3 | +33 | 55.6% | 64.4% | 34.5% | 1.13 | 16.8% | −5,5 | 51.3% | 0.2% | 273 | |
| 12 | Lane bully | +284 | −4,2 | −28 | 57.4% | 61.8% | 40.2% | 1.41 | 13.9% | −0,9 | 52.5% | 3.2% | 4.068 | |
| 13 | Lane bully | +273 | +11,4 | +57 | 56.0% | 54.7% | 28.0% | 1.19 | 12.9% | +6,5 | 42.6% | 0.2% | 272 | |
| 14 | Lane bully | +260 | −1,9 | −46 | 55.5% | 59.9% | 37.0% | 1.29 | 19.7% | +1,7 | 49.7% | 0.6% | 730 | |
| 15 | Lane bully | +256 | +0,6 | −133 | 50.7% | 66.5% | 31.3% | 1.06 | 12.6% | +6,7 | 49.0% | 0.4% | 461 | |
| 16 | Lane bully | +241 | −3,1 | +2 | 56.9% | 52.7% | 31.4% | 1.49 | 16.7% | +3,3 | 43.8% | 1.3% | 1.660 | |
| 17 | Lane bully | +166 | −7,0 | −101 | 54.3% | 59.8% | 37.8% | 1.25 | 16.4% | −2,7 | 49.7% | 0.6% | 748 | |
| 18 | Lane bully | +161 | +9,1 | +65 | 53.6% | 64.3% | 37.7% | 1.08 | 11.6% | −3,2 | 52.1% | 5.6% | 7.053 | |
| 19 | Lane bully | +160 | −3,9 | −222 | 53.7% | 59.2% | 37.0% | 0.97 | 16.1% | +3,5 | 49.0% | 1.0% | 1.287 | |
| 20 | Lane bully | +152 | −4,1 | +86 | 54.2% | 63.3% | 41.3% | 1.08 | 14.0% | −4,4 | 53.2% | 2.7% | 3.393 | |
| 21 | Seimbang | +150 | +3,9 | +76 | 55.3% | 53.6% | 27.6% | 1.28 | 16.9% | −2,4 | 42.1% | 0.3% | 354 | |
| 22 | Seimbang | +146 | +7,7 | −3 | 53.5% | 55.9% | 37.3% | 0.61 | 4.3% | −10,6 | 47.1% | 0.2% | 276 | |
| 23 | Lane bully | +104 | −8,9 | −286 | 52.7% | 60.6% | 39.3% | 0.41 | 5.7% | −0,5 | 50.3% | 1.6% | 1.971 | |
| 24 | Snowballer | +103 | +2,9 | +309 | 52.2% | 63.4% | 35.7% | 1.07 | 5.0% | +2,0 | 50.5% | 0.4% | 537 | |
| 25 | Lane bully | +98 | −3,0 | +118 | 54.2% | 58.3% | 35.6% | 1.30 | 15.1% | −0,8 | 48.2% | 2.1% | 2.603 | |
| 26 | Seimbang | +96 | −2,9 | +163 | 55.7% | 56.6% | 27.8% | 1.24 | 9.3% | −5,2 | 43.6% | 0.2% | 204 | |
| 27 | Seimbang | +90 | +0,6 | +137 | 52.8% | 58.6% | 39.5% | 0.86 | 8.1% | −15,5 | 49.9% | 0.3% | 381 | |
| 28 | Seimbang | +84 | −0,9 | −141 | 50.3% | 62.7% | 29.9% | 1.41 | 18.8% | −3,8 | 47.2% | 0.3% | 341 | |
| 29 | Stabilizer | +42 | −17,8 | −391 | 53.4% | 67.0% | 41.1% | 1.55 | 18.4% | −5,2 | 54.9% | 0.2% | 206 | |
| 30 | Seimbang | +31 | −1,0 | +81 | 51.3% | 60.5% | 35.3% | 1.18 | 17.1% | −1,5 | 48.3% | 1.3% | 1.674 | |
| 31 | Seimbang | +24 | −0,5 | +66 | 50.9% | 63.6% | 38.6% | 1.07 | 10.2% | −3,4 | 51.4% | 1.9% | 2.426 | |
| 32 | Stabilizer | +22 | −7,1 | +187 | 53.9% | 63.7% | 43.4% | 1.19 | 9.0% | −5,3 | 54.9% | 0.2% | 233 | |
| 33 | Seimbang | +19 | +14,9 | +107 | 51.8% | 60.5% | 39.6% | 0.57 | 2.9% | −1,9 | 50.5% | 3.9% | 4.911 | |
| 34 | Stabilizer | +12 | +7,1 | +119 | 51.8% | 62.6% | 49.2% | 0.92 | 8.3% | +1,5 | 56.3% | 0.2% | 254 | |
| 35 | Seimbang | +2 | +7,3 | +57 | 50.5% | 59.8% | 39.5% | 0.72 | 4.3% | +0,2 | 49.7% | 2.6% | 3.229 | |
| 36 | Seimbang | −16 | +1,7 | +126 | 49.3% | 63.2% | 39.7% | 0.92 | 8.1% | −5,3 | 51.3% | 2.9% | 3.620 | |
| 37 | Snowballer | −23 | −12,4 | −491 | 48.0% | 62.3% | 34.8% | 0.89 | 12.4% | +1,1 | 48.0% | 0.2% | 225 | |
| 38 | Seimbang | −24 | +3,1 | +43 | 49.3% | 66.9% | 36.4% | 1.17 | 9.3% | +0,9 | 51.2% | 5.1% | 6.474 | |
| 39 | Seimbang | −29 | −12,5 | −154 | 48.7% | 64.0% | 35.7% | 1.18 | 10.8% | −1,4 | 49.5% | 2.6% | 3.237 | |
| 40 | Seimbang | −30 | −3,3 | −36 | 50.7% | 59.6% | 36.9% | 1.16 | 9.7% | −1,0 | 48.5% | 3.2% | 4.036 | |
| 41 | Seimbang | −39 | 0,0 | +155 | 47.9% | 63.3% | 37.7% | 0.84 | 8.0% | +0,8 | 50.0% | 1.2% | 1.467 | |
| 42 | Seimbang | −42 | +3,6 | +72 | 50.2% | 61.8% | 40.1% | 0.79 | 7.1% | +0,4 | 50.7% | 1.8% | 2.220 | |
| 43 | Seimbang | −43 | +1,7 | +4 | 49.0% | 64.1% | 40.4% | 0.60 | 7.2% | −1,3 | 51.9% | 0.5% | 642 | |
| 44 | Stabilizer | −55 | +0,4 | +250 | 46.6% | 63.3% | 42.2% | 0.78 | 10.1% | −3,9 | 52.1% | 0.9% | 1.084 | |
| 45 | Stabilizer | −67 | −7,0 | −72 | 47.4% | 65.0% | 45.9% | 1.04 | 12.4% | −2,5 | 54.7% | 0.2% | 307 | |
| 46 | Stabilizer | −77 | −7,3 | +74 | 46.5% | 64.2% | 44.3% | 1.00 | 6.4% | −3,0 | 53.5% | 0.3% | 329 | |
| 47 | Scaler | −85 | +4,4 | +145 | 46.0% | 64.0% | 42.2% | 0.76 | 4.2% | +4,2 | 52.2% | 1.5% | 1.907 | |
| 48 | Scaler | −109 | −2,1 | +223 | 48.2% | 55.2% | 45.0% | 0.86 | 7.1% | +4,1 | 49.6% | 0.4% | 506 | |
| 49 | Seimbang | −120 | −2,6 | +175 | 46.7% | 61.6% | 40.2% | 0.73 | 4.2% | −0,5 | 50.3% | 1.7% | 2.193 | |
| 50 | Seimbang | −138 | +6,4 | +134 | 46.9% | 63.9% | 39.0% | 0.67 | 4.9% | −0,1 | 50.8% | 2.9% | 3.666 | |
| 51 | Seimbang | −148 | −0,9 | −18 | 46.8% | 60.2% | 35.7% | 1.07 | 11.4% | −3,0 | 47.7% | 0.4% | 501 | |
| 52 | Seimbang | −158 | −1,8 | −28 | 46.4% | 64.1% | 39.6% | 0.84 | 7.2% | +0,7 | 51.0% | 4.6% | 5.767 | |
| 53 | Seimbang | −181 | −12,3 | −93 | 46.3% | 63.5% | 36.9% | 1.38 | 17.2% | +1,3 | 49.2% | 2.8% | 3.543 | |
| 54 | Scaler | −188 | +3,2 | +93 | 46.5% | 65.1% | 39.3% | 0.84 | 5.6% | +4,1 | 51.3% | 2.0% | 2.487 | |
| 55 | Seimbang | −192 | −8,4 | +57 | 45.8% | 67.5% | 36.6% | 0.90 | 5.2% | −1,8 | 50.7% | 0.4% | 542 | |
| 56 | Seimbang | −195 | −2,3 | −63 | 46.3% | 66.0% | 38.6% | 0.83 | 9.4% | 0,0 | 51.5% | 0.6% | 721 | |
| 57 | Scaler | −253 | −7,6 | −367 | 41.1% | 69.2% | 40.2% | 0.52 | 7.5% | +13,6 | 52.0% | 0.4% | 456 | |
| 58 | Scaler | −275 | +4,8 | −61 | 41.9% | 59.9% | 35.9% | 0.75 | 5.9% | +1,9 | 46.1% | 1.3% | 1.599 | |
| 59 | Seimbang | −299 | −7,5 | −145 | 41.6% | 62.7% | 40.0% | 0.56 | 8.4% | −1,0 | 49.4% | 1.9% | 2.330 | |
| 60 | Scaler | −301 | +2,8 | −176 | 41.0% | 61.4% | 33.5% | 0.95 | 10.8% | +6,8 | 44.9% | 0.5% | 648 | |
| 61 | Scaler | −335 | −4,9 | −280 | 40.2% | 68.2% | 38.5% | 0.90 | 12.0% | +4,9 | 50.6% | 0.3% | 324 | |
| 62 | Scaler | −343 | −2,1 | −125 | 39.0% | 63.1% | 38.5% | 0.86 | 7.2% | +2,7 | 48.1% | 0.6% | 763 | |
| 63 | Snowballer | −347 | −7,7 | −93 | 44.0% | 64.8% | 35.1% | 0.67 | 2.2% | −2,3 | 48.2% | 0.4% | 504 | |
| 64 | Scaler | −384 | −4,0 | −195 | 40.1% | 66.5% | 41.5% | 0.52 | 2.2% | +6,2 | 51.4% | 3.5% | 4.428 | |
| 65 | Seimbang | −393 | −1,7 | −279 | 37.8% | 63.5% | 35.8% | 0.63 | 7.2% | −1,5 | 46.1% | 0.5% | 594 | |
| 66 | Scaler | −394 | −9,4 | −292 | 39.9% | 66.4% | 39.4% | 0.73 | 4.1% | +7,9 | 50.2% | 0.9% | 1.158 | |
| 67 | Scaler | −463 | −5,3 | −252 | 37.2% | 63.8% | 41.2% | 0.92 | 8.6% | +3,8 | 49.4% | 1.0% | 1.295 | |
| 68 | Scaler | −478 | +1,6 | −184 | 38.7% | 64.9% | 38.8% | 0.62 | 2.4% | +5,9 | 48.7% | 0.9% | 1.142 | |
| 69 | Scaler | −551 | −2,6 | −290 | 34.8% | 60.6% | 40.1% | 0.41 | 4.5% | +3,7 | 47.5% | 0.9% | 1.122 | |
| 70 | Scaler | −617 | −5,9 | −423 | 30.9% | 64.5% | 38.2% | 0.40 | 4.2% | +7,6 | 46.1% | 0.3% | 360 | |
| 71 | Scaler | −643 | −6,0 | −551 | 29.9% | 69.5% | 44.0% | 0.45 | 4.9% | +16,5 | 51.4% | 1.1% | 1.452 | |
| 72 | Scaler | −716 | −5,4 | −313 | 27.6% | 64.9% | 41.1% | 0.51 | 8.8% | +18,3 | 47.0% | 0.2% | 285 | |
| 73 | Lane bully | +946 | +15,6 | +78 | 62.9% | 63.6% | — | 1.30 | 18.6% | — | 48.6% | 0.1% | 70Sampel kecil | |
| 74 | Lane bully | +784 | +16,1 | +252 | 71.9% | 61.0% | — | 1.60 | 13.8% | — | 51.7% | 0.1% | 58Sampel kecil | |
| 75 | Lane bully | +692 | +16,4 | +600 | 64.2% | 60.5% | — | 1.45 | 13.4% | — | 50.7% | 0.1% | 67Sampel kecil | |
| 76 | Lane bully | +664 | +16,5 | +151 | 63.6% | 58.3% | 40.7% | 0.95 | 14.0% | +6,4 | 52.4% | 0.1% | 164Sampel kecil | |
| 77 | Seimbang | +525 | +4,2 | +87 | 63.3% | — | — | 1.03 | 9.7% | — | 41.9% | 0.0% | 31Sampel kecil | |
| 78 | Lane bully | +395 | +4,5 | +324 | 59.8% | 53.4% | 42.9% | 1.58 | 16.8% | +4,2 | 49.6% | 0.1% | 125Sampel kecil | |
| 79 | Lane bully | +366 | +10,0 | +92 | 53.7% | 61.1% | 37.1% | 0.87 | 9.6% | −5,2 | 50.4% | 0.1% | 135Sampel kecil | |
| 80 | Lane bully | +338 | −0,4 | +169 | 58.9% | 69.8% | 22.4% | 1.32 | 18.6% | +1,7 | 49.7% | 0.1% | 167Sampel kecil | |
| 81 | Seimbang | +318 | +0,2 | +254 | 59.2% | 59.5% | — | 1.51 | 13.7% | — | 45.2% | 0.1% | 73Sampel kecil | |
| 82 | Seimbang | +302 | −7,0 | −121 | 58.2% | 63.0% | 33.3% | 1.41 | 18.8% | — | 51.2% | 0.1% | 80Sampel kecil | |
| 83 | Stabilizer | +290 | +5,5 | +136 | 52.9% | 56.3% | 42.1% | 1.38 | 8.3% | +14,1 | 49.6% | 0.1% | 121Sampel kecil | |
| 84 | Seimbang | +206 | +0,6 | +44 | 59.6% | — | — | 1.19 | 17.0% | — | 46.8% | 0.0% | 47Sampel kecil | |
| 85 | Seimbang | +181 | +8,0 | +73 | 53.2% | 59.8% | 27.8% | 0.75 | 2.5% | −22,6 | 45.6% | 0.1% | 158Sampel kecil | |
| 86 | Stabilizer | +176 | +7,6 | +29 | 54.9% | 51.0% | 44.3% | 0.99 | 20.7% | +20,7 | 48.6% | 0.1% | 179Sampel kecil | |
| 87 | Seimbang | +130 | −6,3 | +248 | 60.0% | — | — | 1.06 | 8.6% | — | 62.9% | 0.0% | 35Sampel kecil | |
| 88 | Stabilizer | +124 | −0,5 | +130 | 52.1% | 66.1% | 43.9% | 1.34 | 13.4% | +2,8 | 55.5% | 0.1% | 119Sampel kecil | |
| 89 | Seimbang | +111 | +1,0 | −167 | 52.5% | 58.1% | — | 1.28 | 28.3% | — | 40.0% | 0.1% | 60Sampel kecil | |
| 90 | Seimbang | +98 | −5,0 | +331 | 53.7% | 66.7% | 36.4% | 1.25 | 6.3% | −14,6 | 53.1% | 0.1% | 96Sampel kecil | |
| 91 | Seimbang | +97 | −11,6 | −372 | 58.1% | — | — | 1.30 | 15.2% | — | 39.4% | 0.0% | 33Sampel kecil | |
| 92 | Seimbang | +94 | −7,5 | −288 | 40.5% | 63.3% | 34.1% | 1.39 | 26.0% | — | 45.5% | 0.1% | 77Sampel kecil | |
| 93 | Stabilizer | +75 | −7,8 | −210 | 50.6% | 62.8% | 52.4% | 0.99 | 17.6% | — | 57.6% | 0.1% | 85Sampel kecil | |
| 94 | Seimbang | +72 | −1,3 | +77 | 51.3% | — | — | 1.38 | 7.7% | — | 46.2% | 0.0% | 39Sampel kecil | |
| 95 | Seimbang | +67 | −7,6 | −60 | 53.1% | 48.8% | 34.2% | 1.58 | 21.7% | +5,9 | 43.4% | 0.1% | 83Sampel kecil | |
| 96 | Seimbang | +14 | +2,1 | −284 | 43.9% | 50.8% | 41.0% | 0.76 | 7.3% | −2,2 | 45.3% | 0.1% | 150Sampel kecil | |
| 97 | Seimbang | +6 | −12,6 | −84 | 52.7% | — | — | 1.21 | 8.9% | — | 48.2% | 0.0% | 56Sampel kecil | |
| 98 | Seimbang | −3 | −3,2 | +27 | 56.5% | 61.5% | 36.7% | 0.96 | 8.5% | — | 52.1% | 0.1% | 71Sampel kecil | |
| 99 | Seimbang | −27 | −7,1 | −165 | 47.8% | 59.3% | 33.9% | 1.56 | 22.4% | +1,7 | 47.4% | 0.1% | 116Sampel kecil | |
| 100 | Seimbang | −56 | +0,7 | −213 | 49.7% | 54.8% | 26.2% | 0.66 | 10.1% | +28,6 | 40.2% | 0.1% | 169Sampel kecil | |
| 101 | Stabilizer | −62 | −12,7 | −395 | 50.0% | 55.7% | 41.4% | 1.17 | 16.7% | +18,1 | 49.3% | 0.1% | 144Sampel kecil | |
| 102 | Seimbang | −68 | −3,3 | −59 | 50.0% | — | — | 0.98 | 13.0% | — | 47.8% | 0.0% | 46Sampel kecil | |
| 103 | Seimbang | −97 | +5,4 | −335 | 50.0% | — | — | 0.72 | 11.1% | — | 48.1% | 0.0% | 54Sampel kecil | |
| 104 | Seimbang | −101 | −8,1 | −85 | 53.7% | 66.7% | 29.0% | 1.37 | 16.4% | — | 49.3% | 0.1% | 67Sampel kecil | |
| 105 | Seimbang | −104 | −3,7 | −8 | 52.8% | — | — | 0.86 | 5.4% | — | 51.4% | 0.0% | 37Sampel kecil | |
| 106 | Seimbang | −135 | −5,0 | −367 | 45.1% | — | — | 0.82 | 15.7% | — | 49.0% | 0.0% | 51Sampel kecil | |
| 107 | Seimbang | −141 | −1,0 | −412 | 53.5% | — | — | 0.77 | 14.0% | — | 53.5% | 0.0% | 43Sampel kecil | |
| 108 | Seimbang | −142 | −11,2 | −257 | 48.4% | 62.2% | 33.3% | 1.22 | 13.7% | −2,9 | 48.4% | 0.1% | 95Sampel kecil | |
| 109 | Seimbang | −160 | +0,6 | −602 | 40.6% | — | — | 0.42 | 0.0% | — | 30.3% | 0.0% | 33Sampel kecil | |
| 110 | Seimbang | −181 | +1,9 | −461 | 45.1% | 66.7% | 38.4% | 0.57 | 11.9% | −2,9 | 51.5% | 0.1% | 134Sampel kecil | |
| 111 | Seimbang | −181 | −3,7 | +3 | 46.8% | — | — | 0.91 | 4.3% | — | 46.8% | 0.0% | 47Sampel kecil | |
| 112 | Seimbang | −196 | −3,1 | +150 | 49.1% | — | — | 0.71 | 5.5% | — | 60.0% | 0.0% | 55Sampel kecil | |
| 113 | Seimbang | −223 | −1,7 | −150 | 49.1% | 54.7% | 40.0% | 0.72 | 7.3% | +13,9 | 46.8% | 0.1% | 109Sampel kecil | |
| 114 | Seimbang | −225 | −10,9 | −251 | 47.1% | — | — | 1.21 | 20.6% | — | 44.1% | 0.0% | 34Sampel kecil | |
| 115 | Stabilizer | −244 | −5,4 | +56 | 42.1% | 67.2% | 44.8% | 0.61 | 7.0% | −7,7 | 54.1% | 0.1% | 157Sampel kecil | |
| 116 | Seimbang | −248 | −4,1 | −163 | 49.1% | — | — | 1.28 | 6.9% | — | 36.2% | 0.1% | 58Sampel kecil | |
| 117 | Seimbang | −256 | −19,8 | −621 | 42.5% | 73.5% | 34.8% | 1.12 | 17.1% | — | 52.4% | 0.1% | 82Sampel kecil | |
| 118 | Seimbang | −284 | −11,2 | −340 | 27.3% | — | — | 0.79 | 24.2% | — | 39.4% | 0.0% | 33Sampel kecil | |
| 119 | Seimbang | −313 | −15,3 | −94 | 46.6% | — | 35.5% | 1.03 | 17.2% | — | 51.7% | 0.1% | 58Sampel kecil | |
| 120 | Seimbang | −347 | −2,4 | −308 | 43.8% | — | — | 0.70 | 0.0% | — | 42.4% | 0.0% | 33Sampel kecil | |
| 121 | Seimbang | −423 | −1,6 | −203 | 47.2% | 55.9% | 21.1% | 0.40 | 0.0% | — | 37.5% | 0.1% | 72Sampel kecil | |
| 122 | Scaler | −441 | −4,4 | −157 | 39.8% | 58.6% | 41.5% | 0.69 | 5.1% | +1,9 | 48.0% | 0.1% | 177Sampel kecil | |
| 123 | Scaler | −473 | −7,1 | −106 | 37.5% | 70.0% | 42.0% | 0.66 | 8.1% | +3,5 | 52.8% | 0.1% | 161Sampel kecil | |
| 124 | Seimbang | −503 | −21,5 | −791 | 29.8% | — | 37.3% | 0.87 | 9.3% | — | 48.8% | 0.1% | 86Sampel kecil | |
| 125 | Seimbang | −509 | −20,8 | −201 | 35.7% | 50.0% | 31.5% | 0.84 | 17.6% | −3,3 | 38.8% | 0.1% | 85Sampel kecil | |
| 126 | Stabilizer | −509 | −19,8 | −142 | 32.1% | — | 45.3% | 1.00 | 11.4% | — | 49.4% | 0.1% | 79Sampel kecil | |
| 127 | Seimbang | −565 | −14,7 | −754 | 31.8% | — | 30.0% | 0.98 | 20.5% | — | 40.9% | 0.0% | 44Sampel kecil | |
| 128 | Seimbang | −646 | −11,4 | −593 | 30.3% | — | — | 0.33 | 0.0% | — | 54.5% | 0.0% | 33Sampel kecil | |
| 129 | Seimbang | −647 | −7,1 | −613 | 34.7% | — | 36.2% | 0.77 | 8.2% | — | 45.2% | 0.1% | 73Sampel kecil | |
| 130 | Scaler | −699 | −10,2 | −429 | 33.3% | 60.5% | 34.9% | 0.37 | 6.0% | +3,0 | 43.3% | 0.1% | 134Sampel kecil | |
| 131 | Seimbang | −720 | −36,7 | −850 | 24.4% | — | 35.5% | 0.67 | 4.7% | — | 39.5% | 0.0% | 43Sampel kecil | |
| 132 | Stabilizer | −861 | −12,8 | −73 | 23.4% | 64.7% | 47.7% | 0.31 | 2.7% | −2,9 | 51.4% | 0.1% | 146Sampel kecil | |
| 133 | Stabilizer | −1.148 | −32,1 | −839 | 24.4% | — | 54.8% | 0.44 | 0.0% | — | 53.7% | 0.0% | 41Sampel kecil | |
| 134 | Seimbang | −1.452 | −38,1 | −708 | 20.0% | — | — | — | 3.3% | — | 36.7% | 0.0% | 30Sampel 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 Mid 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+858 gold di menit 15, unggul di 68% lane
Naafiri+520 gold di menit 15, unggul di 63% lane
Gangplank+506 gold di menit 15, unggul di 65% lane
Diana+425 gold di menit 15, unggul di 62% lane
Tryndamere+390 gold di menit 15, unggul di 60% lane
Snowballer
Mengubah keunggulan besar jadi kemenangan jauh lebih sering daripada bangkit dari ketertinggalan.
Scaler
Bertahan di lane yang sulit dan makin sering menang semakin lama game berjalan.
Kayle−716 gold di menit 15, win rate naik +18,3 poin di late game
Aurelion Sol−643 gold di menit 15, win rate naik +16,5 poin di late game
Gwen−253 gold di menit 15, win rate naik +13,6 poin di late game
Kassadin−394 gold di menit 15, win rate naik +7,9 poin di late game
Smolder−617 gold di menit 15, win rate naik +7,6 poin di late game
Stabilizer
Sering bangkit dari ketertinggalan - kalah lane jarang berarti kalah game.
Kog'MawMenang 49% game dari posisi tertinggal (+12 gold di menit 15)
NeekoMenang 46% game dari posisi tertinggal (−67 gold di menit 15)
GragasMenang 44% game dari posisi tertinggal (−77 gold di menit 15)
KennenMenang 43% game dari posisi tertinggal (+22 gold di menit 15)
AniviaMenang 42% game dari posisi tertinggal (−55 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: 63.008 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 - Mid Lane, patch 26.20
Champion Mid Lane mana yang paling sering menang lane di patch 26.20?
Irelia punya keunggulan lane Mid Lane terbesar di patch 26.20: rata-rata unggul +858 gold dan +21,6 CS atas lawan lane di menit 15, unggul di 68% game, dari 1.749 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 Mid Lane, Aurelion Sol mengubah keunggulan gold di menit 15 jadi kemenangan 70% dari waktu, sementara Kog'Maw 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 Mid Lane mana yang jadi lane bully saat ini?
Di patch 26.20, 22 champion Mid Lane dengan sampel penuh punya keunggulan gold yang jelas secara statistik di menit 15. Yang terbesar: Irelia, Naafiri, Gangplank, Diana, 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 63.008 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.