Best Mid Lane Laners - Lane Phase Stats
Patch 26.20
81 Mid Lane champions ranked by how they do against their lane opponent at 15 minutes on patch 26.20, from 10,440 ranked games. Irelia wins lane hardest at +696 gold ahead on average and is ahead in 64% of games. Hwei turns a gold lead into a win most often (72%), while Lissandra recovers from a deficit best (48%).
- Patch
- 26.20
- Strongest laner
- Irelia · +696
- Highest lane win rate
- Naafiri · 66.0%
- Best at closing a lead
- Hwei · 72.2%
- Best from behind
- Lissandra · 48.2%
- Most solo kills
- Irelia · 1.94
Mid Lane
Iron–Silver
Gold lead at 15
Patch 26.20 · Iron–Silver · NA ranked Solo/Duo & Flex · Games: 10,440
Irelia is the Mid Lane lane bully of patch 26.20: +696 gold, +20.2 CS and +234 XP ahead of the enemy laner at 15 minutes on average, and ahead in 64% of games. Across the role, 29% of champions with a full sample hold a statistically clear gold lead at 15.
Winning lane and winning the game are different skills. Hwei converts a gold lead into a win 72% of the time, the best in the role, while Lissandra wins 48% of the games it starts behind, the strongest comeback profile. Irelia takes the most solo kills before 15 (1.94 per game) and Irelia draws first blood in 20% of games.
These numbers come from 10,440 ranked Solo/Duo and Flex games on the North American server, patch 26.20, Iron–Silver. 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 | +696 | +20.2 | +234 | 63.7% | 60.2% | 31.1% | 1.94 | 19.9% | −6.5 | 49.5% | 1.4% | 297 | |
| 2 | Lane bully | +553 | +12.4 | +95 | 66.0% | 56.7% | 31.9% | 1.19 | 9.8% | +2.3 | 48.3% | 1.0% | 205 | |
| 3 | Lane bully | +442 | −2.4 | +283 | 60.9% | 54.9% | 37.8% | 1.62 | 11.1% | −4.1 | 48.0% | 2.1% | 433 | |
| 4 | Lane bully | +422 | −0.7 | +218 | 60.2% | 57.4% | 33.3% | 1.37 | 7.4% | +5.6 | 47.4% | 2.3% | 470 | |
| 5 | Lane bully | +402 | +14.3 | +223 | 61.5% | 57.5% | 35.3% | 1.25 | 9.0% | −4.2 | 48.8% | 2.8% | 592 | |
| 6 | Lane bully | +299 | −3.2 | +55 | 56.9% | 59.4% | 44.0% | 1.53 | 11.6% | +5.0 | 52.5% | 3.4% | 713 | |
| 7 | Lane bully | +291 | −8.2 | −93 | 54.8% | 59.0% | 35.8% | 1.44 | 14.8% | +6.1 | 49.3% | 2.8% | 588 | |
| 8 | Balanced | +203 | −1.2 | −142 | 50.9% | 58.6% | 37.5% | 1.10 | 18.5% | −9.4 | 48.7% | 1.1% | 232 | |
| 9 | Lane bully | +170 | −4.7 | +128 | 53.9% | 65.1% | 43.9% | 1.21 | 16.6% | −3.2 | 55.5% | 2.8% | 591 | |
| 10 | Lane bully | +154 | +8.0 | +40 | 52.9% | 66.9% | 36.9% | 1.21 | 10.3% | −4.6 | 53.1% | 5.6% | 1,170 | |
| 11 | Lane bully | +153 | +18.7 | +140 | 57.0% | 58.1% | 37.9% | 0.65 | 2.9% | −8.5 | 49.6% | 4.4% | 923 | |
| 12 | Balanced | +101 | +8.9 | +218 | 54.9% | 58.3% | 36.9% | 0.90 | 5.0% | +11.5 | 48.2% | 2.0% | 423 | |
| 13 | Balanced | +37 | +1.1 | +224 | 49.6% | 68.9% | 39.9% | 0.99 | 9.5% | −10.6 | 54.1% | 3.2% | 673 | |
| 14 | Balanced | +30 | −2.7 | −5 | 52.2% | 58.6% | 37.7% | 1.21 | 10.6% | −10.2 | 48.6% | 3.6% | 743 | |
| 15 | Balanced | +28 | −11.6 | −355 | 50.6% | 59.2% | 37.6% | 0.58 | 7.9% | −1.5 | 48.5% | 1.1% | 241 | |
| 16 | Snowballer | +23 | +3.1 | +58 | 52.3% | 66.8% | 36.0% | 1.27 | 10.0% | +2.0 | 51.7% | 6.4% | 1,339 | |
| 17 | Balanced | +15 | −0.6 | +64 | 50.6% | 63.4% | 36.0% | 1.10 | 11.1% | −6.1 | 50.0% | 2.7% | 558 | |
| 18 | Balanced | +15 | −4.9 | −178 | 53.7% | 52.8% | 29.2% | 1.41 | 12.6% | +8.7 | 41.7% | 1.1% | 230 | |
| 19 | Balanced | −36 | −5.6 | −34 | 49.4% | 61.0% | 36.4% | 1.27 | 12.8% | +2.4 | 48.9% | 1.7% | 352 | |
| 20 | Snowballer | −71 | −11.5 | −182 | 47.3% | 65.7% | 33.3% | 1.17 | 8.2% | −0.6 | 48.6% | 2.1% | 449 | |
| 21 | Balanced | −88 | +2.5 | +132 | 43.6% | 72.2% | 40.5% | 0.82 | 5.5% | −5.5 | 54.1% | 1.4% | 292 | |
| 22 | Balanced | −114 | −1.7 | +140 | 49.0% | 64.8% | 36.2% | 0.90 | 6.6% | +7.7 | 50.4% | 1.2% | 258 | |
| 23 | Stabilizer | −118 | +1.5 | 0 | 47.0% | 58.4% | 48.2% | 0.80 | 7.7% | +9.3 | 51.8% | 1.3% | 272 | |
| 24 | Balanced | −125 | +1.2 | +58 | 44.6% | 61.5% | 38.0% | 0.76 | 5.0% | +7.1 | 48.5% | 1.1% | 239 | |
| 25 | Scaler | −149 | −1.5 | −29 | 46.8% | 62.7% | 39.2% | 0.89 | 7.8% | +2.1 | 50.4% | 5.2% | 1,079 | |
| 26 | Scaler | −157 | +5.1 | +94 | 48.4% | 65.1% | 43.0% | 0.66 | 3.2% | +4.6 | 53.7% | 2.5% | 533 | |
| 27 | Balanced | −165 | −5.8 | −171 | 47.1% | 65.9% | 40.2% | 0.59 | 10.2% | −0.8 | 52.3% | 1.7% | 352 | |
| 28 | Balanced | −200 | −12.4 | −91 | 46.5% | 63.2% | 31.1% | 1.51 | 15.4% | −0.6 | 45.6% | 1.9% | 395 | |
| 29 | Balanced | −207 | −4.7 | −2 | 43.7% | 63.4% | 30.8% | 1.15 | 15.5% | −4.5 | 45.1% | 1.0% | 213 | |
| 30 | Scaler | −235 | −3.7 | +141 | 43.4% | 58.9% | 42.0% | 0.81 | 3.6% | +2.3 | 49.2% | 2.1% | 449 | |
| 31 | Scaler | −278 | −2.5 | −127 | 42.5% | 66.7% | 33.9% | 0.91 | 8.8% | +4.1 | 47.9% | 1.0% | 217 | |
| 32 | Scaler | −355 | −5.2 | −193 | 40.6% | 68.8% | 42.2% | 0.59 | 1.5% | +5.1 | 52.8% | 4.8% | 995 | |
| 33 | Scaler | −423 | +2.3 | −141 | 39.0% | 58.4% | 33.8% | 0.88 | 4.3% | +4.1 | 43.6% | 1.1% | 234 | |
| 34 | Scaler | −575 | −2.0 | −581 | 31.8% | 68.2% | 39.0% | 0.46 | 2.9% | +12.4 | 48.2% | 1.3% | 272 | |
| 35 | Scaler | −663 | −10.0 | −389 | 32.8% | 52.5% | 37.2% | 0.95 | 8.0% | +8.7 | 42.2% | 1.2% | 251 | |
| 36 | Lane bully | +862 | +10.5 | +481 | 66.7% | — | — | 1.38 | 23.5% | — | 55.9% | 0.2% | 34Low sample | |
| 37 | Lane bully | +850 | +10.7 | +471 | 59.4% | — | — | 1.19 | 6.3% | — | 53.1% | 0.1% | 32Low sample | |
| 38 | Lane bully | +843 | +21.7 | +411 | 66.0% | 57.6% | — | 1.18 | 15.7% | — | 49.0% | 0.2% | 51Low sample | |
| 39 | Lane bully | +562 | +7.0 | +245 | 65.0% | — | — | 1.20 | 7.3% | — | 65.9% | 0.2% | 41Low sample | |
| 40 | Balanced | +486 | +8.5 | +144 | 62.9% | — | — | 1.28 | 16.7% | — | 38.9% | 0.2% | 36Low sample | |
| 41 | Lane bully | +407 | +12.0 | +356 | 54.3% | — | — | 1.04 | 25.0% | — | 50.0% | 0.2% | 48Low sample | |
| 42 | Lane bully | +377 | −6.9 | +51 | 59.0% | 65.8% | 38.2% | 1.57 | 20.6% | −7.7 | 55.1% | 0.7% | 136Low sample | |
| 43 | Lane bully | +369 | +5.8 | +251 | 58.0% | 63.8% | 20.6% | 1.41 | 14.6% | — | 46.3% | 0.4% | 82Low sample | |
| 44 | Balanced | +364 | +5.7 | +177 | 52.3% | — | — | 1.47 | 20.0% | — | 40.0% | 0.2% | 45Low sample | |
| 45 | Lane bully | +360 | +7.4 | +295 | 63.2% | 76.7% | — | 1.06 | 2.9% | — | 68.6% | 0.3% | 70Low sample | |
| 46 | Balanced | +329 | −14.9 | −87 | 57.9% | — | — | 1.18 | 17.9% | — | 46.2% | 0.2% | 39Low sample | |
| 47 | Balanced | +273 | −0.8 | +6 | 54.0% | 61.8% | — | 1.65 | 29.2% | — | 47.7% | 0.3% | 65Low sample | |
| 48 | Stabilizer | +145 | +8.6 | +148 | 59.1% | 55.1% | 48.6% | 0.70 | 4.9% | +17.4 | 53.0% | 0.9% | 185Low sample | |
| 49 | Balanced | +118 | −3.6 | +389 | 54.5% | — | — | 1.34 | 6.8% | — | 63.6% | 0.2% | 44Low sample | |
| 50 | Balanced | +111 | −6.1 | −180 | 53.1% | — | — | 0.92 | 14.0% | — | 42.0% | 0.2% | 50Low sample | |
| 51 | Balanced | +103 | −12.7 | −310 | 55.8% | — | — | 1.63 | 14.0% | — | 44.2% | 0.2% | 43Low sample | |
| 52 | Balanced | +96 | −5.6 | +211 | 53.1% | — | — | 1.39 | 12.2% | — | 59.2% | 0.2% | 49Low sample | |
| 53 | Balanced | +93 | −2.2 | −213 | 51.1% | 67.4% | 34.1% | 1.07 | 11.0% | −5.4 | 50.5% | 0.4% | 91Low sample | |
| 54 | Balanced | +85 | +9.1 | −99 | 56.5% | — | — | 0.76 | 4.3% | — | 43.5% | 0.2% | 46Low sample | |
| 55 | Balanced | +82 | +7.1 | −156 | 47.7% | — | — | 0.77 | 4.5% | — | 40.9% | 0.2% | 44Low sample | |
| 56 | Stabilizer | +77 | −5.5 | +60 | 53.9% | 53.7% | 54.3% | 1.05 | 12.8% | — | 53.8% | 0.4% | 78Low sample | |
| 57 | Balanced | +57 | −4.1 | −208 | 54.3% | 58.8% | 32.6% | 1.29 | 17.3% | −12.0 | 48.0% | 0.5% | 98Low sample | |
| 58 | Balanced | −37 | −13.8 | −402 | 48.5% | — | — | 1.11 | 17.1% | — | 42.9% | 0.2% | 35Low sample | |
| 59 | Balanced | −62 | +0.1 | +39 | 54.5% | — | — | 0.65 | 8.8% | — | 47.1% | 0.2% | 34Low sample | |
| 60 | Balanced | −101 | −8.0 | −176 | 43.8% | — | — | 1.12 | 12.1% | — | 39.4% | 0.2% | 33Low sample | |
| 61 | Balanced | −111 | −1.1 | −46 | 45.1% | 56.7% | 31.5% | 1.32 | 13.3% | −4.4 | 43.7% | 0.7% | 135Low sample | |
| 62 | Stabilizer | −122 | +4.5 | −112 | 38.6% | 55.9% | 44.4% | 1.19 | 11.4% | — | 48.9% | 0.4% | 88Low sample | |
| 63 | Balanced | −123 | −2.0 | −5 | 47.0% | 72.6% | 35.7% | 0.98 | 15.3% | +4.8 | 53.3% | 0.7% | 137Low sample | |
| 64 | Stabilizer | −126 | −2.4 | +80 | 42.9% | 55.2% | 46.1% | 0.72 | 8.2% | −3.2 | 50.3% | 0.8% | 159Low sample | |
| 65 | Balanced | −127 | −2.2 | +79 | 45.7% | 72.9% | 26.3% | 0.91 | 2.9% | +1.1 | 47.6% | 0.5% | 105Low sample | |
| 66 | Balanced | −154 | −11.1 | +73 | 45.3% | 75.0% | 32.8% | 0.95 | 4.5% | −8.8 | 53.6% | 0.5% | 110Low sample | |
| 67 | Balanced | −155 | +6.6 | +76 | 47.6% | — | — | 1.10 | 14.3% | — | 42.9% | 0.2% | 42Low sample | |
| 68 | Stabilizer | −160 | +0.1 | −52 | 42.8% | 67.7% | 42.5% | 0.49 | 5.8% | −9.9 | 53.2% | 0.8% | 156Low sample | |
| 69 | Balanced | −182 | −2.0 | −209 | 48.5% | 54.5% | 25.7% | 0.59 | 4.4% | — | 39.7% | 0.3% | 68Low sample | |
| 70 | Stabilizer | −191 | −3.4 | +133 | 49.7% | 54.1% | 41.3% | 0.88 | 11.3% | +2.9 | 47.3% | 0.7% | 150Low sample | |
| 71 | Balanced | −217 | −7.4 | −105 | 50.9% | 65.5% | 37.7% | 0.75 | 1.8% | −16.5 | 51.8% | 0.5% | 110Low sample | |
| 72 | Scaler | −405 | −9.6 | −332 | 35.9% | 75.0% | 46.2% | 0.82 | 2.7% | +4.8 | 56.2% | 0.7% | 146Low sample | |
| 73 | Stabilizer | −435 | −4.0 | −208 | 32.7% | — | 48.6% | 0.65 | 3.8% | — | 53.8% | 0.3% | 52Low sample | |
| 74 | Balanced | −450 | −10.1 | −18 | 37.2% | — | — | 0.75 | 4.5% | — | 56.8% | 0.2% | 44Low sample | |
| 75 | Balanced | −487 | −3.2 | −419 | 38.3% | 58.8% | 33.3% | 0.39 | 3.7% | −9.2 | 42.5% | 0.6% | 134Low sample | |
| 76 | Stabilizer | −511 | −8.5 | −454 | 36.3% | 51.5% | 41.4% | 0.85 | 13.0% | — | 45.7% | 0.4% | 92Low sample | |
| 77 | Scaler | −526 | +0.2 | −148 | 39.1% | 64.8% | 38.1% | 0.62 | 2.9% | +9.0 | 48.2% | 0.7% | 139Low sample | |
| 78 | Stabilizer | −541 | −6.9 | −269 | 28.8% | — | 42.9% | 0.44 | 5.1% | — | 50.8% | 0.3% | 59Low sample | |
| 79 | Balanced | −670 | −0.8 | −463 | 35.2% | — | 30.4% | 0.49 | 2.7% | — | 45.2% | 0.3% | 73Low sample | |
| 80 | Balanced | −765 | −6.5 | −472 | 25.5% | — | 39.5% | 0.59 | 7.8% | — | 41.2% | 0.2% | 51Low sample | |
| 81 | Stabilizer | −909 | −15.5 | −788 | 20.8% | — | 42.1% | 0.42 | 6.3% | — | 47.9% | 0.2% | 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 26.20
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.
Scaler
Survives a rough lane and wins more the longer the game goes.
Aurelion Sol−575 gold at 15, win rate climbs +12.4 points into the late game
Annie−663 gold at 15, win rate climbs +8.7 points into the late game
Veigar−355 gold at 15, win rate climbs +5.1 points into the late game
Viktor−157 gold at 15, win rate climbs +4.6 points into the late game
Brand−278 gold at 15, win rate climbs +4.1 points into the late game
Stabilizer
Recovers from deficits often - a lost lane rarely means a lost game.
LissandraWins 48% of games from behind (−118 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: 10,440 ranked Solo/Duo and Flex games on the North American server, patch 26.20, 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 26.20
Which Mid Lane champion wins lane the most on patch 26.20?
Irelia has the biggest Mid Lane lane lead on patch 26.20: +696 gold and +20.2 CS ahead of the lane opponent at 15 minutes on average, ahead in 64% of games, over 297 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, Hwei turns a gold lead at 15 into a win 72% of the time, while Lissandra still wins 48% 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 26.20, 10 Mid Lane champions with a full sample hold a statistically clear gold lead at 15 minutes. The biggest: Irelia, Naafiri, Diana, Zed, Mel. 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 10,440 ranked Solo/Duo and Flex games on the North American server for patch 26.20, 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.