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 @15CS @15XP @15Lane WRWin AheadWin BehindSolo KillsFirst BloodScalingWin RatePick ShareGames
1Lane bully+847+9.0+9464.9%60.3%27.3%0.3221.9%−1.048.6%2.2%4,170
2Lane bully+563+11.5+32265.4%55.5%34.6%0.2918.1%−6.548.0%0.7%1,382
3Lane bully+282−0.3−455.7%61.0%31.3%0.2516.6%+1.547.8%2.3%4,439
4Lane bully+247+1.1−3554.0%63.3%31.1%0.2023.7%−3.948.4%1.0%1,983
5Lane bully+208−4.6−3254.8%64.7%34.4%0.2716.8%+1.951.0%5.4%10,192
6Lane bully+175+2.3+15055.4%60.6%37.3%0.2117.0%+0.250.2%8.0%15,151
7Lane bully+169+0.5+31256.5%64.2%40.0%0.2511.4%−3.753.8%0.5%954
8Stabilizer+168+3.2+36753.9%67.1%49.0%0.3816.2%−6.559.0%0.2%315
9Lane bully+164+3.9+6555.3%57.4%31.3%0.2117.5%+0.245.7%2.7%5,094
10Lane bully+163+5.9+19454.4%63.6%36.9%0.2716.0%−5.451.3%1.3%2,448
11Lane bully+157+2.4+5452.8%60.7%36.0%0.2716.5%−3.249.5%0.5%847
12Lane bully+146+4.8−13853.1%67.6%32.9%0.1515.5%+4.451.4%1.4%2,763
13Lane bully+142+1.4+8552.9%62.8%31.6%0.2112.6%−10.848.3%1.6%2,953
14Snowballer+139−12.7053.4%66.0%31.9%0.3314.9%−0.550.5%0.2%455
15Lane bully+116+7.1+652.4%62.6%35.5%0.1714.4%−1.349.7%9.3%17,724
16Lane bully+111+1.1−953.9%63.2%35.7%0.1812.8%+1.850.5%6.5%12,346
17Balanced+67−2.0+40252.9%62.5%39.5%0.255.2%−7.251.4%0.3%535
18Balanced+51+1.9+30752.4%62.9%38.0%0.238.8%−10.150.9%0.9%1,755
19Lane bully+45+2.9+11851.5%57.8%32.4%0.2116.3%−4.145.6%4.4%8,303
20Balanced+38−7.4+31355.1%65.5%35.9%0.3012.4%−12.551.9%0.1%210
21Balanced+34+0.9+30855.2%63.1%38.2%0.297.5%−5.852.0%0.2%371
22Balanced+32−2.0+22153.1%64.3%38.6%0.2411.9%−8.152.3%0.4%809
23Balanced+14+1.3−2149.8%63.3%36.1%0.2016.8%−3.649.7%6.3%11,970
24Balanced−23+1.3+4049.7%65.3%37.5%0.2013.2%+3.251.5%2.3%4,300
25Stabilizer−28−2.1+1748.4%69.8%41.3%0.2513.7%+0.354.9%1.1%2,117
26Stabilizer−28+1.4+36350.3%67.4%41.7%0.265.8%−6.354.7%0.5%868
27Balanced−31+3.7+21451.1%59.7%36.4%0.217.6%−3.348.4%0.4%761
28Scaler−36+0.3−5549.0%65.7%36.7%0.1611.7%+2.850.8%5.0%9,525
29Balanced−36+5.2+1049.4%61.2%37.1%0.1211.1%+1.548.9%1.8%3,455
30Balanced−42−5.5+36649.2%67.7%37.5%0.2013.6%+1.452.6%0.6%1,211
31Balanced−101−10.9−20046.9%64.9%29.1%0.1713.7%−10.246.2%0.1%212
32Stabilizer−105+11.3+18648.2%65.2%43.8%0.113.2%−15.853.8%0.2%342
33Balanced−114−3.8+13348.4%62.6%39.0%0.1811.2%−4.950.3%0.4%803
34Scaler−122−1.4−12346.4%65.6%35.5%0.1811.2%+6.449.6%3.6%6,797
35Scaler−162−10.6−12645.8%65.8%38.2%0.2818.9%+8.150.9%3.2%6,098
36Balanced−243−2.2−18343.6%69.9%39.3%0.1311.2%−1.552.5%8.7%16,543
37Balanced−243+1.5+23645.0%64.0%38.5%0.196.5%−2.350.0%1.0%1,930
38Balanced−247−1.6+11444.7%66.1%40.9%0.226.7%−3.952.2%0.3%584
39Balanced−247−1.1+3443.0%66.7%37.1%0.3412.7%+0.949.3%0.1%268
40Balanced−299−4.8−9443.0%64.6%38.2%0.1615.2%−1.049.6%5.2%9,902
41Balanced−359−5.4+6839.7%64.5%40.6%0.174.2%+0.350.1%1.3%2,488
42Balanced−369−2.3+12341.9%68.8%38.3%0.197.2%+0.451.1%0.2%419
43Balanced−376−4.4−2139.6%59.5%39.8%0.2012.1%−1.947.9%0.1%215
44Scaler−397−10.6−4742.6%61.2%41.4%0.147.4%+5.649.6%0.3%673
45Scaler−410−8.6−21040.7%66.9%37.3%0.1715.4%+5.049.2%2.5%4,841
46Scaler−619−8.0−12834.7%67.0%41.3%0.137.1%+6.850.2%2.2%4,148
47Scaler−676−7.9−19632.4%67.2%42.4%0.165.7%+3.850.2%0.3%574
48Lane bully+891+21.8+37270.0%62.2%25.5%0.4523.9%−17.151.1%0.1%176Low sample
49Balanced+570+3.5+31665.7%——0.468.6%—42.9%0.0%35Low sample
50Lane bully+505+3.5+46457.5%——0.329.8%—65.9%0.0%41Low sample
51Balanced+378+1.3+34658.6%70.6%—0.3423.0%—55.7%0.0%61Low sample
52Balanced+302−18.4−8852.9%——0.5521.6%—56.9%0.0%51Low sample
53Balanced+271−6.4−16256.4%——0.2320.5%—48.7%0.0%39Low sample
54Balanced+236+1.5+6760.0%72.2%—0.268.2%—68.9%0.0%61Low sample
55Balanced+203+8.5+23252.3%——0.5122.7%—43.2%0.0%44Low sample
56Balanced+174−8.9+9057.9%42.4%—0.378.5%—44.1%0.0%59Low sample
57Balanced+144+3.7+21848.0%——0.269.4%—49.1%0.0%53Low sample
58Balanced+133−7.8−3960.8%58.1%—0.269.8%—51.0%0.0%51Low sample
59Stabilizer+127+1.3+30457.0%57.1%43.2%0.2312.5%—51.1%0.1%88Low sample
60Balanced+119−3.9+4351.4%——0.1742.9%—51.4%0.0%35Low sample
61Balanced+71−10.9+150.0%62.5%35.4%0.3523.5%+14.649.0%0.1%98Low sample
62Balanced+54−6.5−2947.8%40.6%34.3%0.3626.1%—39.1%0.0%69Low sample
63Balanced+48−1.6+252.2%——0.1517.4%—43.5%0.0%46Low sample
64Balanced+47−11.7−6948.8%53.8%28.0%0.3524.2%−2.141.0%0.1%161Low sample
65Stabilizer+47−3.9+35248.5%74.0%41.5%0.165.8%−10.156.7%0.1%104Low sample
66Balanced+25−7.0+10153.7%——0.5419.5%—43.9%0.0%41Low sample
67Balanced+16−3.7−11550.0%——0.2726.9%—40.4%0.0%52Low sample
68Balanced−5+1.0+29750.4%62.1%40.0%0.189.8%−21.551.5%0.1%132Low sample
69Balanced−10−8.4+6451.4%56.8%25.7%0.2611.0%—41.1%0.0%73Low sample
70Balanced−28−5.4−7950.0%61.7%34.0%0.2813.0%+2.347.9%0.1%192Low sample
71Balanced−31−6.4+1848.3%55.8%28.3%0.3418.7%+2.841.8%0.1%91Low sample
72Balanced−53−10.3+5651.4%67.6%37.1%0.3318.1%—52.8%0.0%72Low sample
73Balanced−55−15.2−15950.0%57.9%31.6%0.3019.2%—44.9%0.0%78Low sample
74Stabilizer−61−1.9+15647.5%62.5%45.2%0.1211.9%−10.553.4%0.1%118Low sample
75Balanced−63−2.8−9745.9%——0.1615.8%—36.8%0.0%38Low sample
76Stabilizer−118−19.8−30242.5%64.9%46.0%0.4331.8%—53.4%0.1%88Low sample
77Balanced−132−1.8+10142.5%81.1%38.0%0.2110.3%—56.3%0.1%87Low sample
78Balanced−173−5.4+19448.8%67.5%33.3%0.1814.5%—49.4%0.0%83Low sample
79Snowballer−174−2.9+6452.5%64.1%31.0%0.3314.5%−4.848.4%0.1%124Low sample
80Balanced−217−5.9+15851.4%——0.3816.2%—54.1%0.0%37Low sample
81Balanced−232−1.3+4948.2%62.5%34.9%0.3211.9%—48.8%0.0%84Low sample
82Stabilizer−251−4.3+10039.7%—46.3%0.3120.6%—54.4%0.0%68Low sample
83Balanced−269−7.1−4751.6%59.4%—0.1819.4%—46.8%0.0%62Low sample
84Balanced−378−8.2−3438.1%—33.3%0.2010.9%—40.6%0.0%64Low sample
85Scaler−379−8.4+26039.2%73.7%37.3%0.247.1%+3.752.0%0.1%98Low sample
86Balanced−380−10.4−13641.9%——0.3915.2%—42.4%0.0%33Low sample
87Balanced−393−10.6−21540.5%——0.1118.4%—23.7%0.0%38Low sample
88Balanced−396−10.0−15238.3%——0.266.4%—55.3%0.0%47Low sample
89Balanced−440−4.4−1342.0%——0.167.8%—60.8%0.0%51Low sample
90Balanced−469+0.6+14435.3%66.7%36.4%0.175.9%−1.447.1%0.0%85Low sample
91Balanced−490−10.8+10839.3%66.7%35.4%0.134.6%−7.747.2%0.1%108Low sample
92Balanced−493−14.1−28736.6%——0.1214.3%—42.9%0.0%42Low sample
93Balanced−494−5.3−10540.8%——0.168.2%—53.1%0.0%49Low sample
94Balanced−551−13.9−6842.1%——0.247.9%—36.8%0.0%38Low sample
95Balanced−555−8.8−32838.5%—40.6%0.089.6%—51.9%0.0%52Low sample
96Balanced−581−9.8−23436.4%——0.126.1%—51.5%0.0%33Low sample
97Balanced−618−5.6−8335.3%——0.0911.8%—35.3%0.0%34Low sample
98Balanced−629−11.8−23536.4%—40.0%0.2014.5%—49.1%0.0%55Low sample
99Balanced−701−28.0−1336.7%——0.1013.3%—50.0%0.0%30Low sample
100Balanced−722−18.8−12542.1%——0.087.9%—36.8%0.0%38Low sample
101Balanced−738−11.4−22120.5%—37.1%0.2011.1%—48.9%0.0%45Low sample
102Balanced−809−13.3−18038.5%——0.0810.3%—46.2%0.0%39Low sample
103Balanced−1,184−11.9−43523.1%—13.3%0.1010.3%—28.2%0.0%39Low sample
104Balanced−1,194−11.7−29118.3%—32.7%0.188.1%—35.5%0.0%62Low 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

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.

  1. Draven+847 gold at 15, ahead in 65% of lanes
  2. Mel+563 gold at 15, ahead in 65% of lanes
  3. Samira+282 gold at 15, ahead in 56% of lanes
  4. Kalista+247 gold at 15, ahead in 54% of lanes
  5. Tristana+208 gold at 15, ahead in 55% of lanes

Snowballer

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

  1. KatarinaWins 73% with a 1,000+ gold lead, 32% from behind

Scaler

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

  1. Twitch−162 gold at 15, win rate climbs +8.1 points into the late game
  2. Smolder−619 gold at 15, win rate climbs +6.8 points into the late game
  3. Aphelios−122 gold at 15, win rate climbs +6.4 points into the late game
  4. Senna−397 gold at 15, win rate climbs +5.6 points into the late game
  5. Vayne−410 gold at 15, win rate climbs +5.0 points into the late game

Stabilizer

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

  1. KarthusWins 49% of games from behind (+168 gold at 15)
  2. MalzaharWins 44% of games from behind (−105 gold at 15)
  3. HweiWins 42% of games from behind (−28 gold at 15)
  4. Kog'MawWins 41% of games from behind (−28 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: 95,058 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.

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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.