Best Mid Lane Laners - Lane Phase Stats

Patch 26.20

97 Mid Lane champions ranked by how they do against their lane opponent at 15 minutes on patch 26.20, from 19,383 ranked games. Irelia wins lane hardest at +949 gold ahead on average and is ahead in 68% of games. Annie turns a gold lead into a win most often (70%), while Aurelion Sol recovers from a deficit best (46%).

Patch
26.20
Strongest laner
Irelia · +949
Highest lane win rate
Irelia · 68.3%
Best at closing a lead
Annie · 69.8%
Best from behind
Aurelion Sol · 45.9%
Most solo kills
Irelia · 1.84

Patch 26.20 · Gold–Platinum · NA ranked Solo/Duo & Flex · Games: 19,383

Irelia is the Mid Lane lane bully of patch 26.20: +949 gold, +21.4 CS and +358 XP ahead of the enemy laner at 15 minutes on average, and ahead in 68% of games. Across the role, 27% of champions with a full sample hold a statistically clear gold lead at 15.

Winning lane and winning the game are different skills. Annie converts a gold lead into a win 70% of the time, the best in the role, while Aurelion Sol wins 46% of the games it starts behind, the strongest comeback profile. Irelia takes the most solo kills before 15 (1.84 per game) and Irelia draws first blood in 22% of games.

These numbers come from 19,383 ranked Solo/Duo and Flex games on the North American server, patch 26.20, Gold–Platinum. 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 @15CS @15XP @15Lane WRWin AheadWin BehindSolo KillsFirst BloodScalingWin RatePick ShareGames
1Lane bully+949+21.4+35868.3%58.3%31.5%1.8422.0%−12.049.4%1.4%528
2Lane bully+569+9.9+9963.7%64.7%37.9%1.2714.4%−1.754.9%0.7%264
3Lane bully+408−0.9+16861.5%57.0%36.1%1.197.9%−1.548.8%3.2%1,235
4Lane bully+383−1.2+17261.9%59.7%34.1%1.4515.1%−6.549.6%1.8%695
5Lane bully+310+12.9+16358.9%55.5%32.7%1.099.7%−2.546.4%1.9%733
6Lane bully+296−3.8−3559.1%60.6%44.3%1.4413.8%−4.653.9%3.1%1,208
7Lane bully+269−6.9−12055.7%57.1%35.5%1.1914.1%−7.147.3%2.9%1,128
8Lane bully+222+9.3+8955.1%64.0%39.7%1.0712.8%0.053.1%5.5%2,112
9Balanced+174−2.5−11149.8%51.8%37.2%1.3021.5%+1.045.9%0.6%233
10Lane bully+146−4.5+7955.7%63.9%35.4%1.1013.7%−1.851.4%2.9%1,122
11Lane bully+145−5.3−29953.2%58.9%41.4%0.9312.4%+7.851.0%1.3%492
12Balanced+134−5.4−9653.8%57.5%39.4%1.2219.7%−1.849.2%0.6%238
13Balanced+125−3.3−1454.1%51.4%33.5%1.4716.0%+6.343.5%1.2%474
14Lane bully+121−2.1+13855.8%60.0%38.6%1.3416.3%−2.151.0%2.1%802
15Lane bully+118−9.3−25153.2%59.3%36.5%0.415.0%+2.948.2%1.6%620
16Balanced+85+5.2+15653.4%64.6%41.0%0.886.9%−3.853.4%1.8%680
17Balanced+83+2.4+12753.6%63.4%39.2%0.667.1%−4.351.9%0.6%212
18Balanced+19+13.8+12251.2%58.0%37.8%0.542.5%−1.248.1%3.9%1,502
19Balanced+13−0.1+5950.8%63.6%37.2%1.1211.2%−0.650.5%2.0%774
20Balanced+12−0.4+4751.6%58.8%40.2%1.1716.5%+2.749.8%1.4%526
21Balanced+5+0.8+28148.9%58.0%37.0%0.8211.0%−5.447.0%0.9%362
22Stabilizer−10+4.7+18149.0%60.5%42.4%0.794.8%+5.551.4%1.7%642
23Balanced−11+7.1+3549.3%60.1%40.2%0.734.5%+2.050.0%3.0%1,171
24Balanced−24−12.5−12648.8%65.7%36.3%1.179.2%+3.250.9%2.5%960
25Balanced−36+2.1+10049.1%62.4%39.1%0.907.9%−3.350.5%2.8%1,069
26Balanced−59−10.8−348.8%62.6%37.8%1.5120.0%−6.350.0%2.4%930
27Balanced−60+2.5+648.1%63.6%37.5%1.109.8%−0.649.8%5.5%2,137
28Balanced−64−4.4−6350.5%60.5%36.1%1.169.4%+1.648.3%3.0%1,165
29Balanced−70−1.7+20947.1%63.4%40.4%0.724.4%0.051.1%2.3%871
30Balanced−77+6.9+20247.7%63.8%39.3%0.715.9%−4.051.0%3.4%1,334
31Balanced−82−1.3+9047.3%61.7%34.5%0.838.1%+3.347.1%1.3%493
32Stabilizer−147−5.7+16651.0%62.1%48.5%1.035.4%−8.054.9%0.5%204
33Snowballer−159+0.2−2247.9%67.5%34.3%0.816.7%−10.351.1%0.7%270
34Scaler−179−2.6−4045.4%60.7%40.4%0.787.0%+3.849.6%4.6%1,785
35Balanced−215+5.8−1744.0%56.0%33.8%0.737.0%+0.644.1%1.3%485
36Balanced−241+3.0+7245.7%64.3%40.8%0.824.3%−0.951.7%1.7%650
37Scaler−326−3.7−12741.1%69.8%39.0%0.908.9%+2.951.5%1.1%425
38Balanced−337−2.4−20938.8%60.7%40.8%0.816.5%0.048.4%0.7%277
39Balanced−387−8.4−20440.6%60.5%40.8%0.547.4%+0.648.6%2.0%760
40Scaler−398−4.0−18939.0%66.3%42.4%0.473.1%+6.951.9%3.3%1,274
41Scaler−423+0.6−16937.7%67.9%34.6%0.612.3%+7.146.9%0.8%303
42Scaler−433−9.5−33936.8%66.4%38.7%0.695.3%+7.848.6%0.8%319
43Scaler−535−3.5−27634.0%63.4%42.4%0.484.8%+6.350.1%0.9%335
44Scaler−733−9.0−66928.6%67.6%45.9%0.455.5%+19.952.2%1.4%527
45Lane bully+596+8.6+22063.6%64.7%48.7%1.2218.7%+5.058.9%0.3%107Low sample
46Balanced+569−1.3+20260.0%——1.5913.5%—54.1%0.1%37Low sample
47Lane bully+499+14.8−2261.2%60.0%—0.9216.3%—53.1%0.1%49Low sample
48Balanced+436+7.5+32254.3%——0.902.0%—49.0%0.1%49Low sample
49Lane bully+413−0.8+11357.6%69.4%44.4%1.039.1%−18.256.8%0.2%88Low sample
50Balanced+412+6.2+17656.4%——1.597.7%—51.3%0.1%39Low sample
51Lane bully+381+3.8+16462.8%57.9%37.8%0.909.8%−8.250.0%0.3%122Low sample
52Balanced+357+4.1+5259.1%——1.3618.2%—47.7%0.1%44Low sample
53Balanced+322−4.4−1752.8%——1.6425.0%—44.4%0.1%36Low sample
54Lane bully+300+12.3+34257.7%67.1%51.7%0.834.8%−2.559.9%0.4%147Low sample
55Balanced+292+9.7+10555.2%56.3%—1.2024.6%—50.8%0.2%61Low sample
56Balanced+254+6.4−14159.6%60.7%39.5%1.1114.9%−0.652.1%0.2%94Low sample
57Balanced+199+2.5−21254.5%55.2%35.7%0.9412.0%+17.946.4%0.3%125Low sample
58Balanced+158+4.1+42853.3%62.5%40.7%1.195.6%−3.352.6%0.5%196Low sample
59Balanced+136+3.5−9441.9%——0.917.0%—39.5%0.1%43Low sample
60Balanced+134+2.7+20851.1%53.5%32.4%1.0512.0%−9.643.7%0.4%142Low sample
61Balanced+113+3.1−7856.0%——0.8610.0%—46.0%0.1%50Low sample
62Balanced+84−5.5+23257.8%45.9%—1.459.4%—35.9%0.2%64Low sample
63Balanced+60+10.8−9350.0%50.0%30.6%1.1812.3%—41.1%0.2%73Low sample
64Balanced+52+2.7+151.2%57.1%38.3%1.1514.5%−2.747.6%0.3%124Low sample
65Stabilizer+38−18.0−43253.0%65.9%56.4%1.6718.8%−11.961.2%0.2%85Low sample
66Balanced+36−6.5−24148.6%——1.4310.8%—48.6%0.1%37Low sample
67Stabilizer+24+8.6+14253.8%61.9%52.8%0.786.3%—57.0%0.2%79Low sample
68Balanced+6−5.9+6953.3%——1.1912.9%—35.5%0.1%31Low sample
69Balanced+3−11.0−19353.1%——1.3024.2%—51.5%0.1%33Low sample
70Stabilizer−6−6.1−2543.9%63.9%45.7%1.2317.1%—53.7%0.2%82Low sample
71Stabilizer−14−2.4−37745.8%45.5%41.0%0.779.5%—43.2%0.2%74Low sample
72Balanced−19+7.8−15151.2%50.0%37.3%0.483.2%−17.944.0%0.3%125Low sample
73Balanced−39−0.5+26048.1%58.7%36.8%0.906.0%+7.047.4%0.3%133Low sample
74Balanced−62−7.5+18751.1%60.9%38.6%1.1710.9%−2.051.1%0.2%92Low sample
75Balanced−68−4.0+17950.0%——0.8913.0%—63.0%0.1%54Low sample
76Balanced−81+2.4−47147.7%——0.5820.0%—62.2%0.1%45Low sample
77Stabilizer−100−11.5−36744.3%—47.1%1.1312.9%—53.2%0.2%62Low sample
78Stabilizer−103−8.0−19941.6%67.6%45.1%0.685.5%+28.253.8%0.2%91Low sample
79Stabilizer−121−6.8+15042.7%68.2%47.5%1.019.6%−8.655.8%0.3%104Low sample
80Stabilizer−155−2.1−6248.8%58.8%41.7%0.959.6%+1.250.0%0.4%166Low sample
81Snowballer−157−3.8+1650.0%64.4%34.5%0.713.4%−4.049.2%0.5%177Low sample
82Balanced−165−3.3−34244.7%60.3%31.0%1.2713.6%−1.844.8%0.4%154Low sample
83Balanced−268+1.4−14041.1%67.9%33.3%0.879.9%−0.647.9%0.5%192Low sample
84Balanced−289−13.9−46241.9%——0.8719.4%—64.5%0.1%31Low sample
85Stabilizer−298−11.4−67838.8%—46.3%0.6919.4%—44.8%0.2%67Low sample
86Balanced−308+2.3−8140.6%——0.410.0%—40.6%0.1%32Low sample
87Scaler−312−6.5−22038.8%68.9%42.3%0.849.3%+2.052.5%0.3%118Low sample
88Balanced−351−20.3−14734.4%——0.889.4%—34.4%0.1%32Low sample
89Balanced−362−5.9−20438.1%——1.164.7%—58.1%0.1%43Low sample
90Balanced−379−7.5−19938.7%——0.7412.9%—61.3%0.1%31Low sample
91Scaler−410−2.7−32236.9%63.1%35.1%0.696.1%+4.545.3%0.5%179Low sample
92Scaler−510−2.3−40835.4%62.2%37.8%0.363.1%+6.546.5%0.3%129Low sample
93Balanced−553−6.5−69145.2%——0.7716.1%—51.6%0.1%31Low sample
94Stabilizer−643−10.2−44933.3%—42.1%0.655.3%—47.4%0.1%57Low sample
95Stabilizer−849−13.4+7324.5%—43.2%0.340.0%—48.0%0.1%50Low sample
96Scaler−965−9.1−50021.1%—39.4%0.438.6%+28.544.1%0.2%93Low sample
97Balanced−1,032−16.9−52921.1%—23.3%0.352.5%—35.0%0.1%40Low sample
MetaBot Desktop

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
MetaBot desktop app Lane Phase tab showing the mid lane leaderboard and a champion's lane profile

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.

  1. Irelia+949 gold at 15, ahead in 68% of lanes
  2. Naafiri+569 gold at 15, ahead in 64% of lanes
  3. Zed+408 gold at 15, ahead in 62% of lanes
  4. Diana+383 gold at 15, ahead in 62% of lanes
  5. Mel+310 gold at 15, ahead in 59% of lanes

Snowballer

Turns a big lead into a win far more often than it recovers from a deficit.

  1. SwainWins 82% with a 1,000+ gold lead, 34% from behind

Scaler

Survives a rough lane and wins more the longer the game goes.

  1. Aurelion Sol−733 gold at 15, win rate climbs +19.9 points into the late game
  2. Kassadin−433 gold at 15, win rate climbs +7.8 points into the late game
  3. Azir−423 gold at 15, win rate climbs +7.1 points into the late game
  4. Veigar−398 gold at 15, win rate climbs +6.9 points into the late game
  5. Ryze−535 gold at 15, win rate climbs +6.3 points into the late game

Stabilizer

Recovers from deficits often - a lost lane rarely means a lost game.

  1. MalphiteWins 49% of games from behind (−147 gold at 15)
  2. HweiWins 42% of games from behind (−10 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: 19,383 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.

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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: +949 gold and +21.4 CS ahead of the lane opponent at 15 minutes on average, ahead in 68% of games, over 528 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, Annie turns a gold lead at 15 into a win 70% of the time, while Aurelion Sol still wins 46% 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, 12 Mid Lane champions with a full sample hold a statistically clear gold lead at 15 minutes. The biggest: Irelia, Naafiri, Zed, Diana, 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 19,383 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.