Best ADC Laners - Lane Phase Stats
Patch 26.19
104 ADC champions ranked by how they do against their lane opponent at 15 minutes on patch 26.19, from 95,058 ranked games. Draven wins lane hardest at +847 gold ahead on average and is ahead in 65% of games. Jinx turns a gold lead into a win most often (70%), while Karthus recovers from a deficit best (49%).
- Patch
- 26.19
- Strongest laner
- Draven · +847
- Highest lane win rate
- Mel · 65.4%
- Best at closing a lead
- Jinx · 69.9%
- Best from behind
- Karthus · 49.0%
- Most solo kills
- Karthus · 0.38
Patch 26.19 · All ranks · NA ranked Solo/Duo & Flex · Games: 95,058
Draven is the ADC lane bully of patch 26.19: +847 gold, +9.0 CS and +94 XP ahead of the enemy laner at 15 minutes on average, and ahead in 65% of games. Across the role, 32% of champions with a full sample hold a statistically clear gold lead at 15.
Winning lane and winning the game are different skills. Jinx converts a gold lead into a win 70% of the time, the best in the role, while Karthus wins 49% of the games it starts behind, the strongest comeback profile. Karthus takes the most solo kills before 15 (0.38 per game) and Kalista draws first blood in 24% of games.
These numbers come from 95,058 ranked Solo/Duo and Flex games on the North American server, patch 26.19, All ranks. A champion needs 30 games with a 15-minute snapshot before any lane number is shown and 200 games before it can headline this page. The MetaBot desktop app splits the same table into Iron–Silver, Gold–Platinum and Emerald+ brackets and adds a lane map of gold lead against scaling.
Top 3 ADC laners
Rank | Champion | Profile | Gold @15 | CS @15 | XP @15 | Lane WR | Win Ahead | Win Behind | Solo Kills | First Blood | Scaling | Win Rate | Pick Share | Games |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Lane bully | +847 | +9.0 | +94 | 64.9% | 60.3% | 27.3% | 0.32 | 21.9% | −1.0 | 48.6% | 2.2% | 4,170 | |
| 2 | Lane bully | +563 | +11.5 | +322 | 65.4% | 55.5% | 34.6% | 0.29 | 18.1% | −6.5 | 48.0% | 0.7% | 1,382 | |
| 3 | Lane bully | +282 | −0.3 | −4 | 55.7% | 61.0% | 31.3% | 0.25 | 16.6% | +1.5 | 47.8% | 2.3% | 4,439 | |
| 4 | Lane bully | +247 | +1.1 | −35 | 54.0% | 63.3% | 31.1% | 0.20 | 23.7% | −3.9 | 48.4% | 1.0% | 1,983 | |
| 5 | Lane bully | +208 | −4.6 | −32 | 54.8% | 64.7% | 34.4% | 0.27 | 16.8% | +1.9 | 51.0% | 5.4% | 10,192 | |
| 6 | Lane bully | +175 | +2.3 | +150 | 55.4% | 60.6% | 37.3% | 0.21 | 17.0% | +0.2 | 50.2% | 8.0% | 15,151 | |
| 7 | Lane bully | +169 | +0.5 | +312 | 56.5% | 64.2% | 40.0% | 0.25 | 11.4% | −3.7 | 53.8% | 0.5% | 954 | |
| 8 | Stabilizer | +168 | +3.2 | +367 | 53.9% | 67.1% | 49.0% | 0.38 | 16.2% | −6.5 | 59.0% | 0.2% | 315 | |
| 9 | Lane bully | +164 | +3.9 | +65 | 55.3% | 57.4% | 31.3% | 0.21 | 17.5% | +0.2 | 45.7% | 2.7% | 5,094 | |
| 10 | Lane bully | +163 | +5.9 | +194 | 54.4% | 63.6% | 36.9% | 0.27 | 16.0% | −5.4 | 51.3% | 1.3% | 2,448 | |
| 11 | Lane bully | +157 | +2.4 | +54 | 52.8% | 60.7% | 36.0% | 0.27 | 16.5% | −3.2 | 49.5% | 0.5% | 847 | |
| 12 | Lane bully | +146 | +4.8 | −138 | 53.1% | 67.6% | 32.9% | 0.15 | 15.5% | +4.4 | 51.4% | 1.4% | 2,763 | |
| 13 | Lane bully | +142 | +1.4 | +85 | 52.9% | 62.8% | 31.6% | 0.21 | 12.6% | −10.8 | 48.3% | 1.6% | 2,953 | |
| 14 | Snowballer | +139 | −12.7 | 0 | 53.4% | 66.0% | 31.9% | 0.33 | 14.9% | −0.5 | 50.5% | 0.2% | 455 | |
| 15 | Lane bully | +116 | +7.1 | +6 | 52.4% | 62.6% | 35.5% | 0.17 | 14.4% | −1.3 | 49.7% | 9.3% | 17,724 | |
| 16 | Lane bully | +111 | +1.1 | −9 | 53.9% | 63.2% | 35.7% | 0.18 | 12.8% | +1.8 | 50.5% | 6.5% | 12,346 | |
| 17 | Balanced | +67 | −2.0 | +402 | 52.9% | 62.5% | 39.5% | 0.25 | 5.2% | −7.2 | 51.4% | 0.3% | 535 | |
| 18 | Balanced | +51 | +1.9 | +307 | 52.4% | 62.9% | 38.0% | 0.23 | 8.8% | −10.1 | 50.9% | 0.9% | 1,755 | |
| 19 | Lane bully | +45 | +2.9 | +118 | 51.5% | 57.8% | 32.4% | 0.21 | 16.3% | −4.1 | 45.6% | 4.4% | 8,303 | |
| 20 | Balanced | +38 | −7.4 | +313 | 55.1% | 65.5% | 35.9% | 0.30 | 12.4% | −12.5 | 51.9% | 0.1% | 210 | |
| 21 | Balanced | +34 | +0.9 | +308 | 55.2% | 63.1% | 38.2% | 0.29 | 7.5% | −5.8 | 52.0% | 0.2% | 371 | |
| 22 | Balanced | +32 | −2.0 | +221 | 53.1% | 64.3% | 38.6% | 0.24 | 11.9% | −8.1 | 52.3% | 0.4% | 809 | |
| 23 | Balanced | +14 | +1.3 | −21 | 49.8% | 63.3% | 36.1% | 0.20 | 16.8% | −3.6 | 49.7% | 6.3% | 11,970 | |
| 24 | Balanced | −23 | +1.3 | +40 | 49.7% | 65.3% | 37.5% | 0.20 | 13.2% | +3.2 | 51.5% | 2.3% | 4,300 | |
| 25 | Stabilizer | −28 | −2.1 | +17 | 48.4% | 69.8% | 41.3% | 0.25 | 13.7% | +0.3 | 54.9% | 1.1% | 2,117 | |
| 26 | Stabilizer | −28 | +1.4 | +363 | 50.3% | 67.4% | 41.7% | 0.26 | 5.8% | −6.3 | 54.7% | 0.5% | 868 | |
| 27 | Balanced | −31 | +3.7 | +214 | 51.1% | 59.7% | 36.4% | 0.21 | 7.6% | −3.3 | 48.4% | 0.4% | 761 | |
| 28 | Scaler | −36 | +0.3 | −55 | 49.0% | 65.7% | 36.7% | 0.16 | 11.7% | +2.8 | 50.8% | 5.0% | 9,525 | |
| 29 | Balanced | −36 | +5.2 | +10 | 49.4% | 61.2% | 37.1% | 0.12 | 11.1% | +1.5 | 48.9% | 1.8% | 3,455 | |
| 30 | Balanced | −42 | −5.5 | +366 | 49.2% | 67.7% | 37.5% | 0.20 | 13.6% | +1.4 | 52.6% | 0.6% | 1,211 | |
| 31 | Balanced | −101 | −10.9 | −200 | 46.9% | 64.9% | 29.1% | 0.17 | 13.7% | −10.2 | 46.2% | 0.1% | 212 | |
| 32 | Stabilizer | −105 | +11.3 | +186 | 48.2% | 65.2% | 43.8% | 0.11 | 3.2% | −15.8 | 53.8% | 0.2% | 342 | |
| 33 | Balanced | −114 | −3.8 | +133 | 48.4% | 62.6% | 39.0% | 0.18 | 11.2% | −4.9 | 50.3% | 0.4% | 803 | |
| 34 | Scaler | −122 | −1.4 | −123 | 46.4% | 65.6% | 35.5% | 0.18 | 11.2% | +6.4 | 49.6% | 3.6% | 6,797 | |
| 35 | Scaler | −162 | −10.6 | −126 | 45.8% | 65.8% | 38.2% | 0.28 | 18.9% | +8.1 | 50.9% | 3.2% | 6,098 | |
| 36 | Balanced | −243 | −2.2 | −183 | 43.6% | 69.9% | 39.3% | 0.13 | 11.2% | −1.5 | 52.5% | 8.7% | 16,543 | |
| 37 | Balanced | −243 | +1.5 | +236 | 45.0% | 64.0% | 38.5% | 0.19 | 6.5% | −2.3 | 50.0% | 1.0% | 1,930 | |
| 38 | Balanced | −247 | −1.6 | +114 | 44.7% | 66.1% | 40.9% | 0.22 | 6.7% | −3.9 | 52.2% | 0.3% | 584 | |
| 39 | Balanced | −247 | −1.1 | +34 | 43.0% | 66.7% | 37.1% | 0.34 | 12.7% | +0.9 | 49.3% | 0.1% | 268 | |
| 40 | Balanced | −299 | −4.8 | −94 | 43.0% | 64.6% | 38.2% | 0.16 | 15.2% | −1.0 | 49.6% | 5.2% | 9,902 | |
| 41 | Balanced | −359 | −5.4 | +68 | 39.7% | 64.5% | 40.6% | 0.17 | 4.2% | +0.3 | 50.1% | 1.3% | 2,488 | |
| 42 | Balanced | −369 | −2.3 | +123 | 41.9% | 68.8% | 38.3% | 0.19 | 7.2% | +0.4 | 51.1% | 0.2% | 419 | |
| 43 | Balanced | −376 | −4.4 | −21 | 39.6% | 59.5% | 39.8% | 0.20 | 12.1% | −1.9 | 47.9% | 0.1% | 215 | |
| 44 | Scaler | −397 | −10.6 | −47 | 42.6% | 61.2% | 41.4% | 0.14 | 7.4% | +5.6 | 49.6% | 0.3% | 673 | |
| 45 | Scaler | −410 | −8.6 | −210 | 40.7% | 66.9% | 37.3% | 0.17 | 15.4% | +5.0 | 49.2% | 2.5% | 4,841 | |
| 46 | Scaler | −619 | −8.0 | −128 | 34.7% | 67.0% | 41.3% | 0.13 | 7.1% | +6.8 | 50.2% | 2.2% | 4,148 | |
| 47 | Scaler | −676 | −7.9 | −196 | 32.4% | 67.2% | 42.4% | 0.16 | 5.7% | +3.8 | 50.2% | 0.3% | 574 | |
| 48 | Lane bully | +891 | +21.8 | +372 | 70.0% | 62.2% | 25.5% | 0.45 | 23.9% | −17.1 | 51.1% | 0.1% | 176Low sample | |
| 49 | Balanced | +570 | +3.5 | +316 | 65.7% | — | — | 0.46 | 8.6% | — | 42.9% | 0.0% | 35Low sample | |
| 50 | Lane bully | +505 | +3.5 | +464 | 57.5% | — | — | 0.32 | 9.8% | — | 65.9% | 0.0% | 41Low sample | |
| 51 | Balanced | +378 | +1.3 | +346 | 58.6% | 70.6% | — | 0.34 | 23.0% | — | 55.7% | 0.0% | 61Low sample | |
| 52 | Balanced | +302 | −18.4 | −88 | 52.9% | — | — | 0.55 | 21.6% | — | 56.9% | 0.0% | 51Low sample | |
| 53 | Balanced | +271 | −6.4 | −162 | 56.4% | — | — | 0.23 | 20.5% | — | 48.7% | 0.0% | 39Low sample | |
| 54 | Balanced | +236 | +1.5 | +67 | 60.0% | 72.2% | — | 0.26 | 8.2% | — | 68.9% | 0.0% | 61Low sample | |
| 55 | Balanced | +203 | +8.5 | +232 | 52.3% | — | — | 0.51 | 22.7% | — | 43.2% | 0.0% | 44Low sample | |
| 56 | Balanced | +174 | −8.9 | +90 | 57.9% | 42.4% | — | 0.37 | 8.5% | — | 44.1% | 0.0% | 59Low sample | |
| 57 | Balanced | +144 | +3.7 | +218 | 48.0% | — | — | 0.26 | 9.4% | — | 49.1% | 0.0% | 53Low sample | |
| 58 | Balanced | +133 | −7.8 | −39 | 60.8% | 58.1% | — | 0.26 | 9.8% | — | 51.0% | 0.0% | 51Low sample | |
| 59 | Stabilizer | +127 | +1.3 | +304 | 57.0% | 57.1% | 43.2% | 0.23 | 12.5% | — | 51.1% | 0.1% | 88Low sample | |
| 60 | Balanced | +119 | −3.9 | +43 | 51.4% | — | — | 0.17 | 42.9% | — | 51.4% | 0.0% | 35Low sample | |
| 61 | Balanced | +71 | −10.9 | +1 | 50.0% | 62.5% | 35.4% | 0.35 | 23.5% | +14.6 | 49.0% | 0.1% | 98Low sample | |
| 62 | Balanced | +54 | −6.5 | −29 | 47.8% | 40.6% | 34.3% | 0.36 | 26.1% | — | 39.1% | 0.0% | 69Low sample | |
| 63 | Balanced | +48 | −1.6 | +2 | 52.2% | — | — | 0.15 | 17.4% | — | 43.5% | 0.0% | 46Low sample | |
| 64 | Balanced | +47 | −11.7 | −69 | 48.8% | 53.8% | 28.0% | 0.35 | 24.2% | −2.1 | 41.0% | 0.1% | 161Low sample | |
| 65 | Stabilizer | +47 | −3.9 | +352 | 48.5% | 74.0% | 41.5% | 0.16 | 5.8% | −10.1 | 56.7% | 0.1% | 104Low sample | |
| 66 | Balanced | +25 | −7.0 | +101 | 53.7% | — | — | 0.54 | 19.5% | — | 43.9% | 0.0% | 41Low sample | |
| 67 | Balanced | +16 | −3.7 | −115 | 50.0% | — | — | 0.27 | 26.9% | — | 40.4% | 0.0% | 52Low sample | |
| 68 | Balanced | −5 | +1.0 | +297 | 50.4% | 62.1% | 40.0% | 0.18 | 9.8% | −21.5 | 51.5% | 0.1% | 132Low sample | |
| 69 | Balanced | −10 | −8.4 | +64 | 51.4% | 56.8% | 25.7% | 0.26 | 11.0% | — | 41.1% | 0.0% | 73Low sample | |
| 70 | Balanced | −28 | −5.4 | −79 | 50.0% | 61.7% | 34.0% | 0.28 | 13.0% | +2.3 | 47.9% | 0.1% | 192Low sample | |
| 71 | Balanced | −31 | −6.4 | +18 | 48.3% | 55.8% | 28.3% | 0.34 | 18.7% | +2.8 | 41.8% | 0.1% | 91Low sample | |
| 72 | Balanced | −53 | −10.3 | +56 | 51.4% | 67.6% | 37.1% | 0.33 | 18.1% | — | 52.8% | 0.0% | 72Low sample | |
| 73 | Balanced | −55 | −15.2 | −159 | 50.0% | 57.9% | 31.6% | 0.30 | 19.2% | — | 44.9% | 0.0% | 78Low sample | |
| 74 | Stabilizer | −61 | −1.9 | +156 | 47.5% | 62.5% | 45.2% | 0.12 | 11.9% | −10.5 | 53.4% | 0.1% | 118Low sample | |
| 75 | Balanced | −63 | −2.8 | −97 | 45.9% | — | — | 0.16 | 15.8% | — | 36.8% | 0.0% | 38Low sample | |
| 76 | Stabilizer | −118 | −19.8 | −302 | 42.5% | 64.9% | 46.0% | 0.43 | 31.8% | — | 53.4% | 0.1% | 88Low sample | |
| 77 | Balanced | −132 | −1.8 | +101 | 42.5% | 81.1% | 38.0% | 0.21 | 10.3% | — | 56.3% | 0.1% | 87Low sample | |
| 78 | Balanced | −173 | −5.4 | +194 | 48.8% | 67.5% | 33.3% | 0.18 | 14.5% | — | 49.4% | 0.0% | 83Low sample | |
| 79 | Snowballer | −174 | −2.9 | +64 | 52.5% | 64.1% | 31.0% | 0.33 | 14.5% | −4.8 | 48.4% | 0.1% | 124Low sample | |
| 80 | Balanced | −217 | −5.9 | +158 | 51.4% | — | — | 0.38 | 16.2% | — | 54.1% | 0.0% | 37Low sample | |
| 81 | Balanced | −232 | −1.3 | +49 | 48.2% | 62.5% | 34.9% | 0.32 | 11.9% | — | 48.8% | 0.0% | 84Low sample | |
| 82 | Stabilizer | −251 | −4.3 | +100 | 39.7% | — | 46.3% | 0.31 | 20.6% | — | 54.4% | 0.0% | 68Low sample | |
| 83 | Balanced | −269 | −7.1 | −47 | 51.6% | 59.4% | — | 0.18 | 19.4% | — | 46.8% | 0.0% | 62Low sample | |
| 84 | Balanced | −378 | −8.2 | −34 | 38.1% | — | 33.3% | 0.20 | 10.9% | — | 40.6% | 0.0% | 64Low sample | |
| 85 | Scaler | −379 | −8.4 | +260 | 39.2% | 73.7% | 37.3% | 0.24 | 7.1% | +3.7 | 52.0% | 0.1% | 98Low sample | |
| 86 | Balanced | −380 | −10.4 | −136 | 41.9% | — | — | 0.39 | 15.2% | — | 42.4% | 0.0% | 33Low sample | |
| 87 | Balanced | −393 | −10.6 | −215 | 40.5% | — | — | 0.11 | 18.4% | — | 23.7% | 0.0% | 38Low sample | |
| 88 | Balanced | −396 | −10.0 | −152 | 38.3% | — | — | 0.26 | 6.4% | — | 55.3% | 0.0% | 47Low sample | |
| 89 | Balanced | −440 | −4.4 | −13 | 42.0% | — | — | 0.16 | 7.8% | — | 60.8% | 0.0% | 51Low sample | |
| 90 | Balanced | −469 | +0.6 | +144 | 35.3% | 66.7% | 36.4% | 0.17 | 5.9% | −1.4 | 47.1% | 0.0% | 85Low sample | |
| 91 | Balanced | −490 | −10.8 | +108 | 39.3% | 66.7% | 35.4% | 0.13 | 4.6% | −7.7 | 47.2% | 0.1% | 108Low sample | |
| 92 | Balanced | −493 | −14.1 | −287 | 36.6% | — | — | 0.12 | 14.3% | — | 42.9% | 0.0% | 42Low sample | |
| 93 | Balanced | −494 | −5.3 | −105 | 40.8% | — | — | 0.16 | 8.2% | — | 53.1% | 0.0% | 49Low sample | |
| 94 | Balanced | −551 | −13.9 | −68 | 42.1% | — | — | 0.24 | 7.9% | — | 36.8% | 0.0% | 38Low sample | |
| 95 | Balanced | −555 | −8.8 | −328 | 38.5% | — | 40.6% | 0.08 | 9.6% | — | 51.9% | 0.0% | 52Low sample | |
| 96 | Balanced | −581 | −9.8 | −234 | 36.4% | — | — | 0.12 | 6.1% | — | 51.5% | 0.0% | 33Low sample | |
| 97 | Balanced | −618 | −5.6 | −83 | 35.3% | — | — | 0.09 | 11.8% | — | 35.3% | 0.0% | 34Low sample | |
| 98 | Balanced | −629 | −11.8 | −235 | 36.4% | — | 40.0% | 0.20 | 14.5% | — | 49.1% | 0.0% | 55Low sample | |
| 99 | Balanced | −701 | −28.0 | −13 | 36.7% | — | — | 0.10 | 13.3% | — | 50.0% | 0.0% | 30Low sample | |
| 100 | Balanced | −722 | −18.8 | −125 | 42.1% | — | — | 0.08 | 7.9% | — | 36.8% | 0.0% | 38Low sample | |
| 101 | Balanced | −738 | −11.4 | −221 | 20.5% | — | 37.1% | 0.20 | 11.1% | — | 48.9% | 0.0% | 45Low sample | |
| 102 | Balanced | −809 | −13.3 | −180 | 38.5% | — | — | 0.08 | 10.3% | — | 46.2% | 0.0% | 39Low sample | |
| 103 | Balanced | −1,184 | −11.9 | −435 | 23.1% | — | 13.3% | 0.10 | 10.3% | — | 28.2% | 0.0% | 39Low sample | |
| 104 | Balanced | −1,194 | −11.7 | −291 | 18.3% | — | 32.7% | 0.18 | 8.1% | — | 35.5% | 0.0% | 62Low sample | |
Every lane, split by rank, live in the app
The desktop Lane Phase tab adds the Iron–Silver, Gold–Platinum and Emerald+ brackets, a lane map of gold lead against scaling, and a per-champion breakdown of how leads turn into wins.
- Rank brackets: Iron–Silver, Gold–Platinum, Emerald+
- Lane map: gold lead at 15 against late-game scaling
- Lead conversion and favored lanes for every champion

ADC lane archetypes on patch 26.19
Every champion gets one label from its own numbers: a lane bully holds a clear gold lead at 15, a scaler loses lane but wins late, a snowballer converts big leads far better than it recovers, and a stabilizer keeps winning from behind. Only champions with 200 or more games are listed.
Lane bully
Wins lane consistently and pressures the opponent early: a statistically clear gold lead at 15.
Snowballer
Turns a big lead into a win far more often than it recovers from a deficit.
KatarinaWins 73% with a 1,000+ gold lead, 32% from behind
Scaler
Survives a rough lane and wins more the longer the game goes.
Twitch−162 gold at 15, win rate climbs +8.1 points into the late game
Smolder−619 gold at 15, win rate climbs +6.8 points into the late game
Aphelios−122 gold at 15, win rate climbs +6.4 points into the late game
Senna−397 gold at 15, win rate climbs +5.6 points into the late game
Vayne−410 gold at 15, win rate climbs +5.0 points into the late game
How to read these stats
The lane opponent is the enemy player in the same role. Every edge is this champion's number minus the opponent's at the 15:00 timeline frame - gold, CS (minions plus monsters) and XP - averaged across games and shown with a 95% confidence interval. A champion is only called "ahead" or "behind" when the whole interval sits on one side of zero; otherwise the edge is within the margin of error.
Lane win rate is the share of games with any gold lead at 15:00. Win rate when ahead and when behind split the same games by that lead, and every such rate carries a Wilson 95% interval; a champion needs 30 games in a band before the number is shown. The 1,000-gold bands isolate big leads and deficits.
Solo kills count unassisted kills on the lane opponent before 15:00; first blood is the share of games where this player took it. Scaling is the late-game win rate minus the early-game win rate, split at the population's average game length, and needs 40 games on each side. Champions under 200 games carry a Low sample tag and never headline the page.
Data: 95,058 ranked Solo/Duo and Flex games on the North American server, patch 26.19, all ranks combined. The rank bands group games by the seeded player's tier: Iron–Silver, Gold–Platinum and Emerald and above. Remakes and non-ranked queues are excluded, and a lane only counts when exactly one player per team holds the role.
See Also
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.
LoL Lane Phase FAQ - ADC, patch 26.19
Which ADC champion wins lane the most on patch 26.19?
Draven has the biggest ADC lane lead on patch 26.19: +847 gold and +9.0 CS ahead of the lane opponent at 15 minutes on average, ahead in 65% of games, over 4,170 ranked games.
What does "gold lead at 15" mean?
It is this champion's total gold minus the lane opponent's total gold at the 15-minute mark of the match timeline, averaged over every game where both players have a 15-minute snapshot. A positive number means the champion is usually ahead in lane; the confidence range on each page says whether that lead is statistically clear or within noise.
Does winning lane mean winning the game?
Not by itself. In ADC, Jinx turns a gold lead at 15 into a win 70% of the time, while Karthus still wins 49% of the games it starts behind. Compare the "win ahead" and "win behind" columns: a champion with a big gap between them lives and dies by its lane, one with a small gap can afford a rough laning phase.
Which ADC champions are lane bullies right now?
On patch 26.19, 15 ADC champions with a full sample hold a statistically clear gold lead at 15 minutes. The biggest: Draven, Mel, Samira, Kalista, Tristana. A lane bully here means the whole 95% confidence range of the gold edge sits above zero, not just a positive average.
What is lane win rate?
The share of a champion's games in which it had any gold lead over the lane opponent at the 15-minute mark. It ignores the size of the lead, so it pairs with the gold edge: a champion with a high lane win rate but a small average edge wins lane often by a little, while a big edge with a middling lane win rate means occasional blowouts.
Where does this data come from?
From 95,058 ranked Solo/Duo and Flex games on the North American server for patch 26.19, using Riot's match timelines for the 15-minute snapshot. All ranks are combined on this page; the MetaBot desktop app splits the same table into Iron–Silver, Gold–Platinum and Emerald+ brackets. Remakes and non-ranked queues are excluded, and a lane only counts when exactly one player per team holds the role.


