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 @15CS @15XP @15Lane WRWin AheadWin BehindSolo KillsFirst BloodScalingWin RatePick ShareGames
1Lane bully+797+21.0+27168.1%56.5%29.9%1.8019.7%−6.448.1%1.5%2,899
2Lane bully+588+7.5+19662.8%64.8%36.3%1.3222.1%−3.353.8%0.2%398
3Lane bully+567+12.1+8865.2%60.1%30.9%1.2114.5%−6.650.2%0.8%1,437
4Lane bully+552+5.0+42468.8%58.8%42.7%1.4816.8%+2.253.7%0.1%244
5Lane bully+542+7.2+30464.1%58.4%31.8%1.1811.3%−8.749.0%0.3%478
6Lane bully+433−2.4+19060.8%60.4%36.1%1.5116.9%−3.551.0%1.9%3,570
7Lane bully+412−0.4+15061.1%57.9%33.3%1.167.1%−2.148.3%3.9%7,428
8Lane bully+408+13.4−5458.2%57.9%36.6%0.868.8%+7.749.5%0.2%297
9Lane bully+375−2.6+5259.2%57.6%31.1%1.5918.4%+0.846.8%1.0%1,981
10Lane bully+366−3.6+660.2%61.7%38.7%1.4013.8%−4.352.7%3.4%6,536
11Lane bully+348+13.1+20159.8%53.8%33.4%1.1511.1%−1.445.8%2.1%4,077
12Lane bully+348+7.6+14657.7%63.6%34.9%1.0714.2%−8.451.3%0.2%310
13Lane bully+316+5.3+13664.2%58.0%34.2%1.3210.6%−1.050.0%0.1%208
14Lane bully+307+5.4−3055.7%61.8%35.9%1.0812.4%+5.450.5%0.3%509
15Lane bully+300+11.4+29455.5%68.1%43.6%0.927.6%−8.956.7%0.4%719
16Lane bully+263−0.8−21555.0%60.5%30.4%1.1111.7%−5.947.1%0.4%737
17Lane bully+255+9.0+1751.8%53.4%30.9%1.0915.4%+7.942.3%0.2%376
18Lane bully+253−3.2−13655.7%58.4%32.8%1.0414.9%+2.547.1%1.0%1,838
19Lane bully+252−2.1−2656.0%61.5%34.5%1.3120.5%−1.049.4%0.5%1,021
20Lane bully+235−8.3−13754.5%61.4%32.5%1.3115.5%−2.148.4%2.9%5,504
21Lane bully+200+1.6+17958.8%66.3%37.1%0.8110.4%−0.253.9%0.3%547
22Lane bully+196−7.7−9355.5%63.9%37.9%1.2615.5%−0.952.4%0.5%1,011
23Lane bully+195+9.5+8554.9%61.8%36.8%1.1112.2%−1.750.5%5.6%10,714
24Balanced+184+8.5+8654.8%52.6%40.7%0.677.5%−8.647.2%0.1%252
25Snowballer+168+0.2+26657.3%68.6%33.7%1.4314.1%+4.153.5%0.1%213
26Stabilizer+154−1.8+8252.0%67.6%41.8%1.4319.9%+5.055.5%0.1%281
27Balanced+127+3.9+3552.7%56.1%31.7%1.1916.4%+4.444.6%0.3%475
28Balanced+123−3.8−10954.3%62.3%32.2%1.1713.1%−0.548.3%0.2%458
29Lane bully+106−8.9−30553.9%59.0%37.5%0.415.8%+3.849.0%1.4%2,626
30Balanced+101−17.6−36251.8%64.1%40.4%1.6319.0%−6.752.8%0.1%231
31Lane bully+86−5.1+4551.9%62.1%36.3%1.1014.3%−3.949.6%2.4%4,524
32Lane bully+84−3.4+8453.2%61.3%38.5%1.2815.4%+2.350.6%2.3%4,303
33Lane bully+82+0.3+9952.4%59.6%35.5%1.2014.9%−2.548.4%1.3%2,473
34Stabilizer+58−3.0+17355.3%55.7%43.0%1.176.9%+3.350.0%0.2%306
35Balanced+32+2.3−9454.0%63.4%34.7%0.674.3%−3.850.2%0.2%422
36Balanced+29+7.0+7151.8%59.2%40.0%0.724.6%−1.049.7%2.4%4,479
37Stabilizer+28+2.1+13951.2%63.7%41.1%0.969.1%−1.852.7%3.1%5,839
38Stabilizer+14−0.5+8350.4%62.4%41.1%1.0810.2%−3.251.7%2.1%3,996
39Balanced+7−2.7+1451.0%57.9%37.3%1.1810.0%−0.247.8%2.9%5,572
40Balanced+3+15.0+10250.9%61.6%40.1%0.562.6%+1.951.0%3.9%7,443
41Stabilizer−28−5.3+10850.1%62.9%41.7%1.036.4%−3.352.5%0.2%453
42Balanced−35−11.8−14047.7%63.6%35.7%1.1511.9%−2.549.0%2.6%5,014
43Balanced−38+4.0+8949.6%60.3%40.6%0.797.3%−2.750.3%1.8%3,329
44Stabilizer−41+6.6+10249.2%59.3%45.1%0.957.4%+0.552.3%0.2%363
45Balanced−44+2.7+1848.9%65.7%38.4%1.1610.3%+0.851.8%4.5%8,631
46Balanced−48−5.6+8752.4%61.8%36.7%1.1612.6%+7.350.2%0.2%317
47Balanced−49+1.7+3845.5%60.0%39.4%0.606.4%−2.748.5%0.5%1,006
48Balanced−69+1.1+13148.2%62.0%38.8%0.934.9%+2.350.1%0.4%778
49Balanced−71−2.0+21149.3%61.9%40.3%0.734.4%+0.550.8%1.7%3,152
50Balanced−88−13.3−42648.3%63.9%39.2%0.8312.5%+5.850.8%0.2%327
51Balanced−99−1.3+10748.1%62.4%39.0%0.818.3%+1.250.1%1.3%2,403
52Scaler−107−1.5+27748.7%61.9%41.2%0.866.0%+5.951.5%0.5%855
53Stabilizer−113−2.6−5248.4%66.3%44.1%1.0013.2%+6.355.0%0.3%567
54Balanced−123+0.7−14146.6%53.6%31.0%0.706.7%+0.641.6%0.1%238
55Balanced−128+6.5+15546.7%63.5%40.0%0.685.7%−1.150.8%2.6%5,014
56Balanced−136−12.5−6747.2%61.8%38.4%1.3516.9%−1.349.4%3.0%5,741
57Balanced−144−8.1−12047.2%57.5%40.6%0.958.1%−7.648.6%0.2%432
58Stabilizer−164+3.3+7646.5%59.2%41.3%0.694.1%−3.949.6%1.5%2,899
59Balanced−179−0.8+16344.9%61.2%39.1%0.739.4%+0.449.0%0.9%1,713
60Balanced−1950.0−49845.1%52.5%32.9%0.699.3%+11.941.9%0.1%270
61Balanced−206−2.1−5944.5%64.6%40.6%0.776.6%−1.151.1%4.5%8,567
62Stabilizer−2060.0−6046.7%63.0%41.1%0.796.5%−4.251.2%0.3%566
63Scaler−222−6.4−34643.9%69.8%39.3%0.524.4%+2.452.9%0.5%945
64Balanced−224−1.3−44943.7%69.1%39.2%0.478.4%−5.152.2%0.1%226
65Scaler−239−2.7−21143.0%67.0%43.5%0.798.8%+3.653.8%0.2%444
66Scaler−265+2.8+5644.0%65.5%41.5%0.916.0%+7.652.1%2.2%4,267
67Scaler−269+0.7−20841.5%58.8%33.9%0.676.2%+5.644.6%0.5%905
68Scaler−280+3.5−9342.1%60.9%35.8%0.746.0%+3.346.5%1.2%2,358
69Stabilizer−289−0.5−6841.5%60.5%42.1%0.856.2%−0.750.0%0.6%1,061
70Balanced−299−9.3−1444.0%59.4%40.0%0.915.4%−1.248.9%0.5%886
71Stabilizer−317−5.6−6842.4%69.0%41.0%0.622.9%+0.552.8%0.7%1,418
72Scaler−319+2.9−17640.6%62.2%37.4%1.0110.6%+4.047.7%0.5%961
73Balanced−329−7.1−16039.7%63.4%40.1%0.558.0%−0.249.4%1.8%3,479
74Scaler−409−5.7−22938.9%65.5%42.8%0.959.6%+2.251.5%0.9%1,789
75Scaler−413−4.1−16638.5%64.4%42.8%0.552.4%+3.351.0%3.7%7,019
76Scaler−418−9.3−32339.3%68.8%38.8%0.713.8%+11.950.3%1.1%2,062
77Scaler−439+1.9−16639.5%62.9%38.3%0.602.6%+6.347.9%1.0%1,864
78Scaler−456−4.4−25334.2%67.2%38.8%0.393.0%+14.848.6%0.2%370
79Scaler−482−0.4−21035.8%61.4%37.1%0.413.8%+6.245.7%1.0%1,970
80Stabilizer−487−5.3−10032.8%59.3%48.8%0.625.2%+0.952.6%0.1%249
81Scaler−540−8.2−21736.4%64.4%42.3%0.695.8%+7.950.9%0.1%291
82Scaler−615−10.8−26933.2%54.4%40.1%0.475.3%+9.445.1%0.2%415
83Scaler−641−4.9−52231.8%68.0%43.7%0.414.2%+8.251.5%1.1%2,127
84Scaler−724−7.8−39831.0%66.4%35.4%0.485.9%+15.144.8%0.2%460
85Scaler−764−14.0−2123.2%77.8%49.7%0.264.0%+6.456.4%0.1%202
86Lane bully+1,112+19.0+1168.7%57.9%—1.609.5%+6.945.2%0.0%84Low sample
87Lane bully+645+13.0+2962.6%68.4%26.5%1.1517.4%—52.2%0.1%92Low sample
88Lane bully+556−1.6+165.1%——1.4218.6%—60.5%0.0%43Low sample
89Lane bully+517−3.5+25461.0%61.3%35.4%1.8118.3%−7.752.4%0.1%126Low sample
90Lane bully+393+14.4+29260.4%62.1%39.5%1.238.2%−14.252.6%0.1%97Low sample
91Lane bully+386+0.9+7261.2%57.1%32.5%1.3317.3%+15.348.1%0.1%104Low sample
92Balanced+345+5.9+8256.9%——0.9815.4%—42.3%0.0%52Low sample
93Lane bully+289+8.9+1555.7%65.1%28.8%1.1019.9%−16.749.0%0.1%151Low sample
94Balanced+288−6.7−4555.7%61.8%—1.349.7%—48.4%0.0%62Low sample
95Balanced+278+3.1−5259.0%69.4%—1.2112.9%—59.7%0.0%62Low sample
96Balanced+270+9.7+59058.3%50.0%33.3%1.3112.2%—43.2%0.0%74Low sample
97Balanced+257−6.4−20355.9%63.2%25.0%1.0712.3%−9.247.1%0.1%138Low sample
98Balanced+249+14.3+16267.4%——0.7020.5%—36.4%0.0%44Low sample
99Snowballer+234−1.1+4658.0%71.4%35.2%1.4215.7%+6.456.4%0.1%172Low sample
100Balanced+229−6.2+10857.1%59.4%—1.1212.3%—45.6%0.0%57Low sample
101Balanced+202−3.6−20157.6%——1.098.8%—61.8%0.0%34Low sample
102Balanced+174+7.3−52455.6%46.7%—0.6617.9%—33.9%0.0%56Low sample
103Stabilizer+165+2.0−4457.6%67.4%42.9%1.3011.4%−12.956.3%0.1%167Low sample
104Stabilizer+154−12.4−23756.3%44.4%50.0%1.3720.6%+11.946.6%0.1%131Low sample
105Balanced+147−0.2+20056.3%55.6%—1.3210.8%—44.6%0.0%65Low sample
106Snowballer+80−7.3−13154.5%63.9%33.3%1.4915.8%+17.349.6%0.1%133Low sample
107Balanced+54−7.0−15353.3%——0.9010.0%—53.3%0.0%30Low sample
108Balanced+2−5.5−10147.5%——1.0517.5%—52.5%0.0%40Low sample
109Stabilizer+1−4.8−25944.3%74.5%44.1%1.3217.4%+7.956.9%0.1%109Low sample
110Snowballer−25−5.3−4357.0%55.3%34.4%0.838.6%+9.846.4%0.1%151Low sample
111Stabilizer−28−4.9−12443.7%64.4%44.8%1.0815.2%+0.554.3%0.1%105Low sample
112Stabilizer−32−6.2+14253.7%65.5%44.0%1.068.0%+5.355.2%0.1%163Low sample
113Stabilizer−44−16.5−50144.6%75.8%42.9%1.2225.5%+1.257.4%0.1%141Low sample
114Balanced−118−9.2−26947.8%——0.8913.0%—52.2%0.0%46Low sample
115Snowballer−119−12.5−38549.2%58.4%34.8%1.0817.5%−2.847.0%0.1%183Low sample
116Balanced−129−7.6−12045.9%63.9%32.9%1.3217.0%−0.747.2%0.1%159Low sample
117Balanced−175−1.3−42340.0%62.5%28.3%0.9412.0%+4.442.0%0.1%100Low sample
118Balanced−177+4.5−32241.8%60.6%26.1%0.849.8%—42.7%0.0%82Low sample
119Balanced−179−10.2−32848.4%51.6%36.4%0.887.7%—44.6%0.0%65Low sample
120Balanced−198−14.9+6947.4%65.2%39.2%1.2414.3%+0.351.0%0.1%98Low sample
121Stabilizer−205−0.2−9142.4%74.4%47.2%0.594.3%—58.1%0.1%93Low sample
122Stabilizer−218−12.5−35145.5%58.3%43.1%1.2813.5%+18.950.4%0.1%133Low sample
123Stabilizer−255−5.0+12642.1%68.8%42.7%0.795.8%+0.753.7%0.1%190Low sample
124Stabilizer−275−14.8−52043.4%58.3%46.8%0.739.3%+14.151.2%0.1%86Low sample
125Balanced−323−1.7−58833.3%—13.3%0.914.3%—23.4%0.0%47Low sample
126Stabilizer−377−3.4−22739.6%60.8%43.4%0.758.9%−8.650.0%0.1%190Low sample
127Balanced−459−11.5−15139.0%68.8%36.0%1.1419.3%—48.2%0.0%83Low sample
128Balanced−465−11.7−23138.2%—26.5%1.0410.9%—40.0%0.0%55Low sample
129Scaler−511−5.5−51232.3%56.1%38.4%0.7710.9%+5.343.8%0.1%128Low sample
130Balanced−528−8.8−29836.7%—36.8%0.624.8%—50.8%0.0%63Low sample
131Balanced−552−11.3−83840.5%68.8%29.8%0.8120.3%—45.6%0.0%79Low sample
132Scaler−570−26.5−82039.0%75.6%34.4%0.899.5%+2.850.5%0.1%105Low sample
133Balanced−599−13.9−33035.8%—38.2%0.8717.0%—45.3%0.0%53Low sample
134Balanced−607−17.3−40343.5%57.5%36.5%0.948.6%−19.946.2%0.1%93Low sample
135Balanced−623−8.6−66829.2%—29.4%0.656.3%—39.6%0.0%48Low sample
136Scaler−627−19.8−33333.3%63.6%37.9%0.9015.2%+4.046.5%0.1%99Low sample
137Balanced−663−17.8−53230.6%——0.588.3%—52.8%0.0%36Low sample
138Balanced−680−6.8−65227.3%——0.7414.7%—32.4%0.0%34Low sample
139Balanced−735−22.8−32538.9%——0.897.9%—50.0%0.0%38Low sample
140Balanced−899−11.3−73125.0%—30.0%0.502.5%—35.0%0.0%40Low sample
141Balanced−1,148−40.8−1,06722.0%—35.9%0.6616.0%—38.0%0.0%50Low sample
142Balanced−1,411−30.8−77014.3%—26.7%0.475.6%—30.6%0.0%36Low sample
143Balanced−1,454−32.4−86614.9%—40.0%0.272.1%—39.6%0.0%48Low 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 26.19

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.

  1. Irelia+797 gold at 15, ahead in 68% of lanes
  2. Tryndamere+588 gold at 15, ahead in 63% of lanes
  3. Naafiri+567 gold at 15, ahead in 65% of lanes
  4. Renekton+552 gold at 15, ahead in 69% of lanes
  5. 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.

  1. AmbessaWins 78% with a 1,000+ gold lead, 34% from behind

Scaler

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

  1. Kayle−724 gold at 15, win rate climbs +15.1 points into the late game
  2. Smolder−456 gold at 15, win rate climbs +14.8 points into the late game
  3. Kassadin−418 gold at 15, win rate climbs +11.9 points into the late game
  4. Ashe−615 gold at 15, win rate climbs +9.4 points into the late game
  5. 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.

  1. ZyraWins 49% of games from behind (−487 gold at 15)
  2. Kog'MawWins 45% of games from behind (−41 gold at 15)
  3. Cho'GathWins 44% of games from behind (−113 gold at 15)
  4. MordekaiserWins 43% of games from behind (+58 gold at 15)
  5. 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.

🔍

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.

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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.