Best Mid Lane Laners - Lane Phase Stats
Patch 26.19
143 Mid Lane champions ranked by how they do against their lane opponent at 15 minutes on patch 26.19, from 95,189 ranked games. Irelia wins lane hardest at +797 gold ahead on average and is ahead in 68% of games. Gwen turns a gold lead into a win most often (70%), while Zilean recovers from a deficit best (50%).
- Patch
- 26.19
- Strongest laner
- Irelia · +797
- Highest lane win rate
- Renekton · 68.8%
- Best at closing a lead
- Gwen · 69.8%
- Best from behind
- Zilean · 49.7%
- Most solo kills
- Irelia · 1.80
Patch 26.19 · All ranks · NA ranked Solo/Duo & Flex · Games: 95,189
Irelia is the Mid Lane lane bully of patch 26.19: +797 gold, +21.0 CS and +271 XP ahead of the enemy laner at 15 minutes on average, and ahead in 68% 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. Gwen converts a gold lead into a win 70% of the time, the best in the role, while Zilean wins 50% of the games it starts behind, the strongest comeback profile. Irelia takes the most solo kills before 15 (1.80 per game) and Tryndamere draws first blood in 22% of games.
These numbers come from 95,189 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 Mid Lane 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 | +797 | +21.0 | +271 | 68.1% | 56.5% | 29.9% | 1.80 | 19.7% | −6.4 | 48.1% | 1.5% | 2,899 | |
| 2 | Lane bully | +588 | +7.5 | +196 | 62.8% | 64.8% | 36.3% | 1.32 | 22.1% | −3.3 | 53.8% | 0.2% | 398 | |
| 3 | Lane bully | +567 | +12.1 | +88 | 65.2% | 60.1% | 30.9% | 1.21 | 14.5% | −6.6 | 50.2% | 0.8% | 1,437 | |
| 4 | Lane bully | +552 | +5.0 | +424 | 68.8% | 58.8% | 42.7% | 1.48 | 16.8% | +2.2 | 53.7% | 0.1% | 244 | |
| 5 | Lane bully | +542 | +7.2 | +304 | 64.1% | 58.4% | 31.8% | 1.18 | 11.3% | −8.7 | 49.0% | 0.3% | 478 | |
| 6 | Lane bully | +433 | −2.4 | +190 | 60.8% | 60.4% | 36.1% | 1.51 | 16.9% | −3.5 | 51.0% | 1.9% | 3,570 | |
| 7 | Lane bully | +412 | −0.4 | +150 | 61.1% | 57.9% | 33.3% | 1.16 | 7.1% | −2.1 | 48.3% | 3.9% | 7,428 | |
| 8 | Lane bully | +408 | +13.4 | −54 | 58.2% | 57.9% | 36.6% | 0.86 | 8.8% | +7.7 | 49.5% | 0.2% | 297 | |
| 9 | Lane bully | +375 | −2.6 | +52 | 59.2% | 57.6% | 31.1% | 1.59 | 18.4% | +0.8 | 46.8% | 1.0% | 1,981 | |
| 10 | Lane bully | +366 | −3.6 | +6 | 60.2% | 61.7% | 38.7% | 1.40 | 13.8% | −4.3 | 52.7% | 3.4% | 6,536 | |
| 11 | Lane bully | +348 | +13.1 | +201 | 59.8% | 53.8% | 33.4% | 1.15 | 11.1% | −1.4 | 45.8% | 2.1% | 4,077 | |
| 12 | Lane bully | +348 | +7.6 | +146 | 57.7% | 63.6% | 34.9% | 1.07 | 14.2% | −8.4 | 51.3% | 0.2% | 310 | |
| 13 | Lane bully | +316 | +5.3 | +136 | 64.2% | 58.0% | 34.2% | 1.32 | 10.6% | −1.0 | 50.0% | 0.1% | 208 | |
| 14 | Lane bully | +307 | +5.4 | −30 | 55.7% | 61.8% | 35.9% | 1.08 | 12.4% | +5.4 | 50.5% | 0.3% | 509 | |
| 15 | Lane bully | +300 | +11.4 | +294 | 55.5% | 68.1% | 43.6% | 0.92 | 7.6% | −8.9 | 56.7% | 0.4% | 719 | |
| 16 | Lane bully | +263 | −0.8 | −215 | 55.0% | 60.5% | 30.4% | 1.11 | 11.7% | −5.9 | 47.1% | 0.4% | 737 | |
| 17 | Lane bully | +255 | +9.0 | +17 | 51.8% | 53.4% | 30.9% | 1.09 | 15.4% | +7.9 | 42.3% | 0.2% | 376 | |
| 18 | Lane bully | +253 | −3.2 | −136 | 55.7% | 58.4% | 32.8% | 1.04 | 14.9% | +2.5 | 47.1% | 1.0% | 1,838 | |
| 19 | Lane bully | +252 | −2.1 | −26 | 56.0% | 61.5% | 34.5% | 1.31 | 20.5% | −1.0 | 49.4% | 0.5% | 1,021 | |
| 20 | Lane bully | +235 | −8.3 | −137 | 54.5% | 61.4% | 32.5% | 1.31 | 15.5% | −2.1 | 48.4% | 2.9% | 5,504 | |
| 21 | Lane bully | +200 | +1.6 | +179 | 58.8% | 66.3% | 37.1% | 0.81 | 10.4% | −0.2 | 53.9% | 0.3% | 547 | |
| 22 | Lane bully | +196 | −7.7 | −93 | 55.5% | 63.9% | 37.9% | 1.26 | 15.5% | −0.9 | 52.4% | 0.5% | 1,011 | |
| 23 | Lane bully | +195 | +9.5 | +85 | 54.9% | 61.8% | 36.8% | 1.11 | 12.2% | −1.7 | 50.5% | 5.6% | 10,714 | |
| 24 | Balanced | +184 | +8.5 | +86 | 54.8% | 52.6% | 40.7% | 0.67 | 7.5% | −8.6 | 47.2% | 0.1% | 252 | |
| 25 | Snowballer | +168 | +0.2 | +266 | 57.3% | 68.6% | 33.7% | 1.43 | 14.1% | +4.1 | 53.5% | 0.1% | 213 | |
| 26 | Stabilizer | +154 | −1.8 | +82 | 52.0% | 67.6% | 41.8% | 1.43 | 19.9% | +5.0 | 55.5% | 0.1% | 281 | |
| 27 | Balanced | +127 | +3.9 | +35 | 52.7% | 56.1% | 31.7% | 1.19 | 16.4% | +4.4 | 44.6% | 0.3% | 475 | |
| 28 | Balanced | +123 | −3.8 | −109 | 54.3% | 62.3% | 32.2% | 1.17 | 13.1% | −0.5 | 48.3% | 0.2% | 458 | |
| 29 | Lane bully | +106 | −8.9 | −305 | 53.9% | 59.0% | 37.5% | 0.41 | 5.8% | +3.8 | 49.0% | 1.4% | 2,626 | |
| 30 | Balanced | +101 | −17.6 | −362 | 51.8% | 64.1% | 40.4% | 1.63 | 19.0% | −6.7 | 52.8% | 0.1% | 231 | |
| 31 | Lane bully | +86 | −5.1 | +45 | 51.9% | 62.1% | 36.3% | 1.10 | 14.3% | −3.9 | 49.6% | 2.4% | 4,524 | |
| 32 | Lane bully | +84 | −3.4 | +84 | 53.2% | 61.3% | 38.5% | 1.28 | 15.4% | +2.3 | 50.6% | 2.3% | 4,303 | |
| 33 | Lane bully | +82 | +0.3 | +99 | 52.4% | 59.6% | 35.5% | 1.20 | 14.9% | −2.5 | 48.4% | 1.3% | 2,473 | |
| 34 | Stabilizer | +58 | −3.0 | +173 | 55.3% | 55.7% | 43.0% | 1.17 | 6.9% | +3.3 | 50.0% | 0.2% | 306 | |
| 35 | Balanced | +32 | +2.3 | −94 | 54.0% | 63.4% | 34.7% | 0.67 | 4.3% | −3.8 | 50.2% | 0.2% | 422 | |
| 36 | Balanced | +29 | +7.0 | +71 | 51.8% | 59.2% | 40.0% | 0.72 | 4.6% | −1.0 | 49.7% | 2.4% | 4,479 | |
| 37 | Stabilizer | +28 | +2.1 | +139 | 51.2% | 63.7% | 41.1% | 0.96 | 9.1% | −1.8 | 52.7% | 3.1% | 5,839 | |
| 38 | Stabilizer | +14 | −0.5 | +83 | 50.4% | 62.4% | 41.1% | 1.08 | 10.2% | −3.2 | 51.7% | 2.1% | 3,996 | |
| 39 | Balanced | +7 | −2.7 | +14 | 51.0% | 57.9% | 37.3% | 1.18 | 10.0% | −0.2 | 47.8% | 2.9% | 5,572 | |
| 40 | Balanced | +3 | +15.0 | +102 | 50.9% | 61.6% | 40.1% | 0.56 | 2.6% | +1.9 | 51.0% | 3.9% | 7,443 | |
| 41 | Stabilizer | −28 | −5.3 | +108 | 50.1% | 62.9% | 41.7% | 1.03 | 6.4% | −3.3 | 52.5% | 0.2% | 453 | |
| 42 | Balanced | −35 | −11.8 | −140 | 47.7% | 63.6% | 35.7% | 1.15 | 11.9% | −2.5 | 49.0% | 2.6% | 5,014 | |
| 43 | Balanced | −38 | +4.0 | +89 | 49.6% | 60.3% | 40.6% | 0.79 | 7.3% | −2.7 | 50.3% | 1.8% | 3,329 | |
| 44 | Stabilizer | −41 | +6.6 | +102 | 49.2% | 59.3% | 45.1% | 0.95 | 7.4% | +0.5 | 52.3% | 0.2% | 363 | |
| 45 | Balanced | −44 | +2.7 | +18 | 48.9% | 65.7% | 38.4% | 1.16 | 10.3% | +0.8 | 51.8% | 4.5% | 8,631 | |
| 46 | Balanced | −48 | −5.6 | +87 | 52.4% | 61.8% | 36.7% | 1.16 | 12.6% | +7.3 | 50.2% | 0.2% | 317 | |
| 47 | Balanced | −49 | +1.7 | +38 | 45.5% | 60.0% | 39.4% | 0.60 | 6.4% | −2.7 | 48.5% | 0.5% | 1,006 | |
| 48 | Balanced | −69 | +1.1 | +131 | 48.2% | 62.0% | 38.8% | 0.93 | 4.9% | +2.3 | 50.1% | 0.4% | 778 | |
| 49 | Balanced | −71 | −2.0 | +211 | 49.3% | 61.9% | 40.3% | 0.73 | 4.4% | +0.5 | 50.8% | 1.7% | 3,152 | |
| 50 | Balanced | −88 | −13.3 | −426 | 48.3% | 63.9% | 39.2% | 0.83 | 12.5% | +5.8 | 50.8% | 0.2% | 327 | |
| 51 | Balanced | −99 | −1.3 | +107 | 48.1% | 62.4% | 39.0% | 0.81 | 8.3% | +1.2 | 50.1% | 1.3% | 2,403 | |
| 52 | Scaler | −107 | −1.5 | +277 | 48.7% | 61.9% | 41.2% | 0.86 | 6.0% | +5.9 | 51.5% | 0.5% | 855 | |
| 53 | Stabilizer | −113 | −2.6 | −52 | 48.4% | 66.3% | 44.1% | 1.00 | 13.2% | +6.3 | 55.0% | 0.3% | 567 | |
| 54 | Balanced | −123 | +0.7 | −141 | 46.6% | 53.6% | 31.0% | 0.70 | 6.7% | +0.6 | 41.6% | 0.1% | 238 | |
| 55 | Balanced | −128 | +6.5 | +155 | 46.7% | 63.5% | 40.0% | 0.68 | 5.7% | −1.1 | 50.8% | 2.6% | 5,014 | |
| 56 | Balanced | −136 | −12.5 | −67 | 47.2% | 61.8% | 38.4% | 1.35 | 16.9% | −1.3 | 49.4% | 3.0% | 5,741 | |
| 57 | Balanced | −144 | −8.1 | −120 | 47.2% | 57.5% | 40.6% | 0.95 | 8.1% | −7.6 | 48.6% | 0.2% | 432 | |
| 58 | Stabilizer | −164 | +3.3 | +76 | 46.5% | 59.2% | 41.3% | 0.69 | 4.1% | −3.9 | 49.6% | 1.5% | 2,899 | |
| 59 | Balanced | −179 | −0.8 | +163 | 44.9% | 61.2% | 39.1% | 0.73 | 9.4% | +0.4 | 49.0% | 0.9% | 1,713 | |
| 60 | Balanced | −195 | 0.0 | −498 | 45.1% | 52.5% | 32.9% | 0.69 | 9.3% | +11.9 | 41.9% | 0.1% | 270 | |
| 61 | Balanced | −206 | −2.1 | −59 | 44.5% | 64.6% | 40.6% | 0.77 | 6.6% | −1.1 | 51.1% | 4.5% | 8,567 | |
| 62 | Stabilizer | −206 | 0.0 | −60 | 46.7% | 63.0% | 41.1% | 0.79 | 6.5% | −4.2 | 51.2% | 0.3% | 566 | |
| 63 | Scaler | −222 | −6.4 | −346 | 43.9% | 69.8% | 39.3% | 0.52 | 4.4% | +2.4 | 52.9% | 0.5% | 945 | |
| 64 | Balanced | −224 | −1.3 | −449 | 43.7% | 69.1% | 39.2% | 0.47 | 8.4% | −5.1 | 52.2% | 0.1% | 226 | |
| 65 | Scaler | −239 | −2.7 | −211 | 43.0% | 67.0% | 43.5% | 0.79 | 8.8% | +3.6 | 53.8% | 0.2% | 444 | |
| 66 | Scaler | −265 | +2.8 | +56 | 44.0% | 65.5% | 41.5% | 0.91 | 6.0% | +7.6 | 52.1% | 2.2% | 4,267 | |
| 67 | Scaler | −269 | +0.7 | −208 | 41.5% | 58.8% | 33.9% | 0.67 | 6.2% | +5.6 | 44.6% | 0.5% | 905 | |
| 68 | Scaler | −280 | +3.5 | −93 | 42.1% | 60.9% | 35.8% | 0.74 | 6.0% | +3.3 | 46.5% | 1.2% | 2,358 | |
| 69 | Stabilizer | −289 | −0.5 | −68 | 41.5% | 60.5% | 42.1% | 0.85 | 6.2% | −0.7 | 50.0% | 0.6% | 1,061 | |
| 70 | Balanced | −299 | −9.3 | −14 | 44.0% | 59.4% | 40.0% | 0.91 | 5.4% | −1.2 | 48.9% | 0.5% | 886 | |
| 71 | Stabilizer | −317 | −5.6 | −68 | 42.4% | 69.0% | 41.0% | 0.62 | 2.9% | +0.5 | 52.8% | 0.7% | 1,418 | |
| 72 | Scaler | −319 | +2.9 | −176 | 40.6% | 62.2% | 37.4% | 1.01 | 10.6% | +4.0 | 47.7% | 0.5% | 961 | |
| 73 | Balanced | −329 | −7.1 | −160 | 39.7% | 63.4% | 40.1% | 0.55 | 8.0% | −0.2 | 49.4% | 1.8% | 3,479 | |
| 74 | Scaler | −409 | −5.7 | −229 | 38.9% | 65.5% | 42.8% | 0.95 | 9.6% | +2.2 | 51.5% | 0.9% | 1,789 | |
| 75 | Scaler | −413 | −4.1 | −166 | 38.5% | 64.4% | 42.8% | 0.55 | 2.4% | +3.3 | 51.0% | 3.7% | 7,019 | |
| 76 | Scaler | −418 | −9.3 | −323 | 39.3% | 68.8% | 38.8% | 0.71 | 3.8% | +11.9 | 50.3% | 1.1% | 2,062 | |
| 77 | Scaler | −439 | +1.9 | −166 | 39.5% | 62.9% | 38.3% | 0.60 | 2.6% | +6.3 | 47.9% | 1.0% | 1,864 | |
| 78 | Scaler | −456 | −4.4 | −253 | 34.2% | 67.2% | 38.8% | 0.39 | 3.0% | +14.8 | 48.6% | 0.2% | 370 | |
| 79 | Scaler | −482 | −0.4 | −210 | 35.8% | 61.4% | 37.1% | 0.41 | 3.8% | +6.2 | 45.7% | 1.0% | 1,970 | |
| 80 | Stabilizer | −487 | −5.3 | −100 | 32.8% | 59.3% | 48.8% | 0.62 | 5.2% | +0.9 | 52.6% | 0.1% | 249 | |
| 81 | Scaler | −540 | −8.2 | −217 | 36.4% | 64.4% | 42.3% | 0.69 | 5.8% | +7.9 | 50.9% | 0.1% | 291 | |
| 82 | Scaler | −615 | −10.8 | −269 | 33.2% | 54.4% | 40.1% | 0.47 | 5.3% | +9.4 | 45.1% | 0.2% | 415 | |
| 83 | Scaler | −641 | −4.9 | −522 | 31.8% | 68.0% | 43.7% | 0.41 | 4.2% | +8.2 | 51.5% | 1.1% | 2,127 | |
| 84 | Scaler | −724 | −7.8 | −398 | 31.0% | 66.4% | 35.4% | 0.48 | 5.9% | +15.1 | 44.8% | 0.2% | 460 | |
| 85 | Scaler | −764 | −14.0 | −21 | 23.2% | 77.8% | 49.7% | 0.26 | 4.0% | +6.4 | 56.4% | 0.1% | 202 | |
| 86 | Lane bully | +1,112 | +19.0 | +11 | 68.7% | 57.9% | — | 1.60 | 9.5% | +6.9 | 45.2% | 0.0% | 84Low sample | |
| 87 | Lane bully | +645 | +13.0 | +29 | 62.6% | 68.4% | 26.5% | 1.15 | 17.4% | — | 52.2% | 0.1% | 92Low sample | |
| 88 | Lane bully | +556 | −1.6 | +1 | 65.1% | — | — | 1.42 | 18.6% | — | 60.5% | 0.0% | 43Low sample | |
| 89 | Lane bully | +517 | −3.5 | +254 | 61.0% | 61.3% | 35.4% | 1.81 | 18.3% | −7.7 | 52.4% | 0.1% | 126Low sample | |
| 90 | Lane bully | +393 | +14.4 | +292 | 60.4% | 62.1% | 39.5% | 1.23 | 8.2% | −14.2 | 52.6% | 0.1% | 97Low sample | |
| 91 | Lane bully | +386 | +0.9 | +72 | 61.2% | 57.1% | 32.5% | 1.33 | 17.3% | +15.3 | 48.1% | 0.1% | 104Low sample | |
| 92 | Balanced | +345 | +5.9 | +82 | 56.9% | — | — | 0.98 | 15.4% | — | 42.3% | 0.0% | 52Low sample | |
| 93 | Lane bully | +289 | +8.9 | +15 | 55.7% | 65.1% | 28.8% | 1.10 | 19.9% | −16.7 | 49.0% | 0.1% | 151Low sample | |
| 94 | Balanced | +288 | −6.7 | −45 | 55.7% | 61.8% | — | 1.34 | 9.7% | — | 48.4% | 0.0% | 62Low sample | |
| 95 | Balanced | +278 | +3.1 | −52 | 59.0% | 69.4% | — | 1.21 | 12.9% | — | 59.7% | 0.0% | 62Low sample | |
| 96 | Balanced | +270 | +9.7 | +590 | 58.3% | 50.0% | 33.3% | 1.31 | 12.2% | — | 43.2% | 0.0% | 74Low sample | |
| 97 | Balanced | +257 | −6.4 | −203 | 55.9% | 63.2% | 25.0% | 1.07 | 12.3% | −9.2 | 47.1% | 0.1% | 138Low sample | |
| 98 | Balanced | +249 | +14.3 | +162 | 67.4% | — | — | 0.70 | 20.5% | — | 36.4% | 0.0% | 44Low sample | |
| 99 | Snowballer | +234 | −1.1 | +46 | 58.0% | 71.4% | 35.2% | 1.42 | 15.7% | +6.4 | 56.4% | 0.1% | 172Low sample | |
| 100 | Balanced | +229 | −6.2 | +108 | 57.1% | 59.4% | — | 1.12 | 12.3% | — | 45.6% | 0.0% | 57Low sample | |
| 101 | Balanced | +202 | −3.6 | −201 | 57.6% | — | — | 1.09 | 8.8% | — | 61.8% | 0.0% | 34Low sample | |
| 102 | Balanced | +174 | +7.3 | −524 | 55.6% | 46.7% | — | 0.66 | 17.9% | — | 33.9% | 0.0% | 56Low sample | |
| 103 | Stabilizer | +165 | +2.0 | −44 | 57.6% | 67.4% | 42.9% | 1.30 | 11.4% | −12.9 | 56.3% | 0.1% | 167Low sample | |
| 104 | Stabilizer | +154 | −12.4 | −237 | 56.3% | 44.4% | 50.0% | 1.37 | 20.6% | +11.9 | 46.6% | 0.1% | 131Low sample | |
| 105 | Balanced | +147 | −0.2 | +200 | 56.3% | 55.6% | — | 1.32 | 10.8% | — | 44.6% | 0.0% | 65Low sample | |
| 106 | Snowballer | +80 | −7.3 | −131 | 54.5% | 63.9% | 33.3% | 1.49 | 15.8% | +17.3 | 49.6% | 0.1% | 133Low sample | |
| 107 | Balanced | +54 | −7.0 | −153 | 53.3% | — | — | 0.90 | 10.0% | — | 53.3% | 0.0% | 30Low sample | |
| 108 | Balanced | +2 | −5.5 | −101 | 47.5% | — | — | 1.05 | 17.5% | — | 52.5% | 0.0% | 40Low sample | |
| 109 | Stabilizer | +1 | −4.8 | −259 | 44.3% | 74.5% | 44.1% | 1.32 | 17.4% | +7.9 | 56.9% | 0.1% | 109Low sample | |
| 110 | Snowballer | −25 | −5.3 | −43 | 57.0% | 55.3% | 34.4% | 0.83 | 8.6% | +9.8 | 46.4% | 0.1% | 151Low sample | |
| 111 | Stabilizer | −28 | −4.9 | −124 | 43.7% | 64.4% | 44.8% | 1.08 | 15.2% | +0.5 | 54.3% | 0.1% | 105Low sample | |
| 112 | Stabilizer | −32 | −6.2 | +142 | 53.7% | 65.5% | 44.0% | 1.06 | 8.0% | +5.3 | 55.2% | 0.1% | 163Low sample | |
| 113 | Stabilizer | −44 | −16.5 | −501 | 44.6% | 75.8% | 42.9% | 1.22 | 25.5% | +1.2 | 57.4% | 0.1% | 141Low sample | |
| 114 | Balanced | −118 | −9.2 | −269 | 47.8% | — | — | 0.89 | 13.0% | — | 52.2% | 0.0% | 46Low sample | |
| 115 | Snowballer | −119 | −12.5 | −385 | 49.2% | 58.4% | 34.8% | 1.08 | 17.5% | −2.8 | 47.0% | 0.1% | 183Low sample | |
| 116 | Balanced | −129 | −7.6 | −120 | 45.9% | 63.9% | 32.9% | 1.32 | 17.0% | −0.7 | 47.2% | 0.1% | 159Low sample | |
| 117 | Balanced | −175 | −1.3 | −423 | 40.0% | 62.5% | 28.3% | 0.94 | 12.0% | +4.4 | 42.0% | 0.1% | 100Low sample | |
| 118 | Balanced | −177 | +4.5 | −322 | 41.8% | 60.6% | 26.1% | 0.84 | 9.8% | — | 42.7% | 0.0% | 82Low sample | |
| 119 | Balanced | −179 | −10.2 | −328 | 48.4% | 51.6% | 36.4% | 0.88 | 7.7% | — | 44.6% | 0.0% | 65Low sample | |
| 120 | Balanced | −198 | −14.9 | +69 | 47.4% | 65.2% | 39.2% | 1.24 | 14.3% | +0.3 | 51.0% | 0.1% | 98Low sample | |
| 121 | Stabilizer | −205 | −0.2 | −91 | 42.4% | 74.4% | 47.2% | 0.59 | 4.3% | — | 58.1% | 0.1% | 93Low sample | |
| 122 | Stabilizer | −218 | −12.5 | −351 | 45.5% | 58.3% | 43.1% | 1.28 | 13.5% | +18.9 | 50.4% | 0.1% | 133Low sample | |
| 123 | Stabilizer | −255 | −5.0 | +126 | 42.1% | 68.8% | 42.7% | 0.79 | 5.8% | +0.7 | 53.7% | 0.1% | 190Low sample | |
| 124 | Stabilizer | −275 | −14.8 | −520 | 43.4% | 58.3% | 46.8% | 0.73 | 9.3% | +14.1 | 51.2% | 0.1% | 86Low sample | |
| 125 | Balanced | −323 | −1.7 | −588 | 33.3% | — | 13.3% | 0.91 | 4.3% | — | 23.4% | 0.0% | 47Low sample | |
| 126 | Stabilizer | −377 | −3.4 | −227 | 39.6% | 60.8% | 43.4% | 0.75 | 8.9% | −8.6 | 50.0% | 0.1% | 190Low sample | |
| 127 | Balanced | −459 | −11.5 | −151 | 39.0% | 68.8% | 36.0% | 1.14 | 19.3% | — | 48.2% | 0.0% | 83Low sample | |
| 128 | Balanced | −465 | −11.7 | −231 | 38.2% | — | 26.5% | 1.04 | 10.9% | — | 40.0% | 0.0% | 55Low sample | |
| 129 | Scaler | −511 | −5.5 | −512 | 32.3% | 56.1% | 38.4% | 0.77 | 10.9% | +5.3 | 43.8% | 0.1% | 128Low sample | |
| 130 | Balanced | −528 | −8.8 | −298 | 36.7% | — | 36.8% | 0.62 | 4.8% | — | 50.8% | 0.0% | 63Low sample | |
| 131 | Balanced | −552 | −11.3 | −838 | 40.5% | 68.8% | 29.8% | 0.81 | 20.3% | — | 45.6% | 0.0% | 79Low sample | |
| 132 | Scaler | −570 | −26.5 | −820 | 39.0% | 75.6% | 34.4% | 0.89 | 9.5% | +2.8 | 50.5% | 0.1% | 105Low sample | |
| 133 | Balanced | −599 | −13.9 | −330 | 35.8% | — | 38.2% | 0.87 | 17.0% | — | 45.3% | 0.0% | 53Low sample | |
| 134 | Balanced | −607 | −17.3 | −403 | 43.5% | 57.5% | 36.5% | 0.94 | 8.6% | −19.9 | 46.2% | 0.1% | 93Low sample | |
| 135 | Balanced | −623 | −8.6 | −668 | 29.2% | — | 29.4% | 0.65 | 6.3% | — | 39.6% | 0.0% | 48Low sample | |
| 136 | Scaler | −627 | −19.8 | −333 | 33.3% | 63.6% | 37.9% | 0.90 | 15.2% | +4.0 | 46.5% | 0.1% | 99Low sample | |
| 137 | Balanced | −663 | −17.8 | −532 | 30.6% | — | — | 0.58 | 8.3% | — | 52.8% | 0.0% | 36Low sample | |
| 138 | Balanced | −680 | −6.8 | −652 | 27.3% | — | — | 0.74 | 14.7% | — | 32.4% | 0.0% | 34Low sample | |
| 139 | Balanced | −735 | −22.8 | −325 | 38.9% | — | — | 0.89 | 7.9% | — | 50.0% | 0.0% | 38Low sample | |
| 140 | Balanced | −899 | −11.3 | −731 | 25.0% | — | 30.0% | 0.50 | 2.5% | — | 35.0% | 0.0% | 40Low sample | |
| 141 | Balanced | −1,148 | −40.8 | −1,067 | 22.0% | — | 35.9% | 0.66 | 16.0% | — | 38.0% | 0.0% | 50Low sample | |
| 142 | Balanced | −1,411 | −30.8 | −770 | 14.3% | — | 26.7% | 0.47 | 5.6% | — | 30.6% | 0.0% | 36Low sample | |
| 143 | Balanced | −1,454 | −32.4 | −866 | 14.9% | — | 40.0% | 0.27 | 2.1% | — | 39.6% | 0.0% | 48Low 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

Mid Lane 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.
Irelia+797 gold at 15, ahead in 68% of lanes
Tryndamere+588 gold at 15, ahead in 63% of lanes
Naafiri+567 gold at 15, ahead in 65% of lanes
Renekton+552 gold at 15, ahead in 69% of lanes
Gangplank+542 gold at 15, ahead in 64% of lanes
Snowballer
Turns a big lead into a win far more often than it recovers from a deficit.
AmbessaWins 78% with a 1,000+ gold lead, 34% from behind
Scaler
Survives a rough lane and wins more the longer the game goes.
Kayle−724 gold at 15, win rate climbs +15.1 points into the late game
Smolder−456 gold at 15, win rate climbs +14.8 points into the late game
Kassadin−418 gold at 15, win rate climbs +11.9 points into the late game
Ashe−615 gold at 15, win rate climbs +9.4 points into the late game
Aurelion Sol−641 gold at 15, win rate climbs +8.2 points into the late game
Stabilizer
Recovers from deficits often - a lost lane rarely means a lost game.
ZyraWins 49% of games from behind (−487 gold at 15)
Kog'MawWins 45% of games from behind (−41 gold at 15)
Cho'GathWins 44% of games from behind (−113 gold at 15)
MordekaiserWins 43% of games from behind (+58 gold at 15)
BrandWins 42% of games from behind (−289 gold at 15)
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: 95,189 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 - Mid Lane, patch 26.19
Which Mid Lane champion wins lane the most on patch 26.19?
Irelia has the biggest Mid Lane lane lead on patch 26.19: +797 gold and +21.0 CS ahead of the lane opponent at 15 minutes on average, ahead in 68% of games, over 2,899 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 Mid Lane, Gwen turns a gold lead at 15 into a win 70% of the time, while Zilean still wins 50% 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 Mid Lane champions are lane bullies right now?
On patch 26.19, 27 Mid Lane champions with a full sample hold a statistically clear gold lead at 15 minutes. The biggest: Irelia, Tryndamere, Naafiri, Renekton, Gangplank. 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 95,189 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.


