Best Top Lane Laners - Lane Phase Stats
Patch 26.19
75 Top Lane champions ranked by how they do against their lane opponent at 15 minutes on patch 26.19, from 10,072 ranked games. Irelia wins lane hardest at +1,037 gold ahead on average and is ahead in 71% of games. Gwen turns a gold lead into a win most often (72%), while Ornn recovers from a deficit best (50%).
- Patch
- 26.19
- Strongest laner
- Irelia · +1,037
- Highest lane win rate
- Irelia · 71.0%
- Best at closing a lead
- Gwen · 72.0%
- Best from behind
- Ornn · 49.7%
- Most solo kills
- Irelia · 2.31
Top Lane
Emerald+
Gold lead at 15
Patch 26.19 · Emerald+ · NA ranked Solo/Duo & Flex · Games: 10,072
Irelia is the Top Lane lane bully of patch 26.19: +1,037 gold, +24.6 CS and +622 XP ahead of the enemy laner at 15 minutes on average, and ahead in 71% of games. Across the role, 33% 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 72% of the time, the best in the role, while Ornn wins 50% of the games it starts behind, the strongest comeback profile. Irelia takes the most solo kills before 15 (2.31 per game) and Kled draws first blood in 24% of games.
These numbers come from 10,072 ranked Solo/Duo and Flex games on the North American server, patch 26.19, Emerald+. 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 Top 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 | +1,037 | +24.6 | +622 | 71.0% | 60.1% | 32.7% | 2.31 | 22.5% | −6.8 | 52.3% | 2.0% | 400 | |
| 2 | Lane bully | +526 | +12.9 | +179 | 61.2% | 58.8% | 36.4% | 1.45 | 13.4% | −2.8 | 50.0% | 1.8% | 366 | |
| 3 | Lane bully | +507 | +9.7 | +282 | 60.3% | 61.1% | 40.9% | 1.65 | 21.9% | −4.1 | 53.3% | 1.9% | 392 | |
| 4 | Lane bully | +466 | −1.2 | +200 | 57.9% | 56.4% | 44.7% | 1.85 | 23.9% | +8.3 | 51.2% | 1.0% | 205 | |
| 5 | Lane bully | +456 | +15.0 | +421 | 59.1% | 51.0% | 31.3% | 1.67 | 12.4% | −6.3 | 42.9% | 1.6% | 331 | |
| 6 | Lane bully | +427 | +8.1 | +294 | 57.9% | 62.2% | 41.3% | 1.89 | 19.4% | +6.4 | 54.0% | 1.3% | 252 | |
| 7 | Lane bully | +328 | +7.7 | +378 | 57.8% | 60.7% | 37.5% | 1.67 | 13.1% | +1.1 | 50.9% | 3.5% | 696 | |
| 8 | Lane bully | +319 | +2.7 | +41 | 57.9% | 60.8% | 38.8% | 1.38 | 14.4% | −8.4 | 51.1% | 2.6% | 515 | |
| 9 | Lane bully | +275 | +5.2 | +402 | 59.2% | 56.3% | 34.1% | 1.76 | 12.4% | −1.6 | 47.3% | 1.0% | 201 | |
| 10 | Lane bully | +240 | +6.1 | +502 | 57.0% | 57.6% | 46.0% | 1.61 | 6.2% | −9.2 | 52.8% | 1.6% | 324 | |
| 11 | Lane bully | +217 | +6.4 | +104 | 55.6% | 64.4% | 34.0% | 1.69 | 17.3% | −1.8 | 50.9% | 3.5% | 711 | |
| 12 | Lane bully | +206 | +5.8 | +319 | 55.7% | 53.4% | 33.9% | 1.51 | 13.5% | +3.0 | 45.2% | 2.9% | 578 | |
| 13 | Lane bully | +170 | +7.3 | +10 | 52.9% | 66.3% | 36.0% | 1.46 | 15.9% | −1.2 | 52.1% | 3.9% | 775 | |
| 14 | Lane bully | +133 | +1.0 | +200 | 54.6% | 61.8% | 43.6% | 1.30 | 13.1% | −0.9 | 53.2% | 3.6% | 725 | |
| 15 | Balanced | +87 | +5.3 | +151 | 53.5% | 58.9% | 37.4% | 1.20 | 9.7% | −1.1 | 49.1% | 1.8% | 371 | |
| 16 | Balanced | +83 | −1.2 | +82 | 54.7% | 56.7% | 38.9% | 1.43 | 16.7% | +0.4 | 48.7% | 2.1% | 431 | |
| 17 | Balanced | +76 | +1.1 | +262 | 54.0% | 56.6% | 39.6% | 1.59 | 10.6% | +3.3 | 48.7% | 2.7% | 540 | |
| 18 | Balanced | +60 | −1.6 | −38 | 50.0% | 57.2% | 37.2% | 1.70 | 21.1% | +1.3 | 47.3% | 3.2% | 645 | |
| 19 | Stabilizer | +55 | +2.3 | −100 | 52.1% | 57.4% | 41.7% | 1.66 | 20.5% | +2.3 | 50.0% | 2.3% | 458 | |
| 20 | Balanced | +25 | +6.5 | −42 | 50.3% | 64.2% | 40.7% | 1.32 | 12.4% | −0.3 | 52.7% | 2.3% | 461 | |
| 21 | Balanced | +2 | −4.3 | −93 | 48.9% | 60.1% | 37.8% | 1.56 | 14.1% | −4.8 | 48.3% | 2.7% | 538 | |
| 22 | Stabilizer | 0 | −2.8 | −221 | 48.1% | 57.0% | 45.8% | 1.39 | 13.2% | +2.0 | 51.2% | 1.5% | 295 | |
| 23 | Stabilizer | −8 | −1.7 | −71 | 47.9% | 72.0% | 42.3% | 1.35 | 10.9% | −3.4 | 56.3% | 1.7% | 339 | |
| 24 | Balanced | −10 | −0.4 | −71 | 51.2% | 64.0% | 40.2% | 1.57 | 16.9% | −8.8 | 52.9% | 2.1% | 427 | |
| 25 | Balanced | −16 | +1.9 | −4 | 50.2% | 48.8% | 38.2% | 0.99 | 6.8% | +2.0 | 43.2% | 1.7% | 336 | |
| 26 | Balanced | −26 | −0.1 | +102 | 50.7% | 61.8% | 38.8% | 1.35 | 11.8% | +0.8 | 50.5% | 2.0% | 408 | |
| 27 | Balanced | −26 | +6.6 | −168 | 47.5% | 58.2% | 35.8% | 1.52 | 17.4% | +6.3 | 46.5% | 1.4% | 282 | |
| 28 | Balanced | −49 | −0.8 | −75 | 49.1% | 57.3% | 40.5% | 0.95 | 10.6% | +1.0 | 49.0% | 1.4% | 292 | |
| 29 | Balanced | −92 | −6.0 | −348 | 48.6% | 52.5% | 36.1% | 1.31 | 16.7% | +2.2 | 44.1% | 1.4% | 288 | |
| 30 | Stabilizer | −139 | −6.2 | −68 | 45.9% | 65.8% | 43.2% | 1.37 | 14.3% | +3.2 | 53.5% | 2.4% | 482 | |
| 31 | Stabilizer | −139 | −4.9 | +73 | 46.0% | 60.5% | 47.0% | 1.13 | 4.8% | +1.2 | 52.8% | 1.2% | 250 | |
| 32 | Balanced | −163 | −4.3 | −126 | 49.5% | 62.8% | 37.5% | 1.25 | 8.5% | +0.8 | 49.9% | 1.8% | 365 | |
| 33 | Scaler | −183 | −2.5 | −46 | 46.4% | 64.5% | 43.2% | 1.22 | 8.3% | +8.4 | 53.0% | 1.9% | 372 | |
| 34 | Balanced | −290 | −3.9 | −521 | 43.4% | 59.8% | 28.3% | 1.16 | 20.1% | −6.0 | 42.5% | 1.1% | 214 | |
| 35 | Scaler | −291 | −9.0 | +126 | 43.0% | 63.2% | 43.2% | 1.42 | 5.9% | +6.0 | 51.8% | 1.1% | 222 | |
| 36 | Scaler | −358 | +1.1 | −600 | 38.2% | 59.0% | 45.8% | 0.85 | 11.6% | +2.8 | 50.5% | 1.9% | 372 | |
| 37 | Scaler | −443 | −13.3 | −82 | 38.1% | 63.1% | 47.3% | 0.88 | 4.2% | +4.8 | 53.2% | 3.3% | 673 | |
| 38 | Scaler | −485 | −11.2 | −56 | 38.5% | 64.6% | 49.7% | 0.97 | 5.3% | +4.8 | 55.6% | 2.5% | 493 | |
| 39 | Scaler | −537 | −7.0 | −326 | 38.5% | 67.1% | 41.2% | 0.69 | 3.9% | +7.8 | 51.3% | 2.1% | 431 | |
| 40 | Stabilizer | −647 | −15.0 | −280 | 36.0% | 57.8% | 41.6% | 0.85 | 3.5% | −5.7 | 47.0% | 2.4% | 485 | |
| 41 | Scaler | −755 | −11.1 | −654 | 29.9% | 70.0% | 38.8% | 0.89 | 11.4% | +12.5 | 48.0% | 1.4% | 273 | |
| 42 | Stabilizer | −778 | −24.6 | −512 | 30.4% | 61.2% | 43.8% | 0.83 | 11.5% | +0.7 | 49.4% | 2.4% | 486 | |
| 43 | Lane bully | +684 | +14.5 | +595 | 64.6% | 58.8% | 33.9% | 1.57 | 10.1% | −12.0 | 49.7% | 0.8% | 159Low sample | |
| 44 | Balanced | +453 | +2.4 | +153 | 73.5% | — | — | 1.85 | 14.7% | — | 55.9% | 0.2% | 34Low sample | |
| 45 | Lane bully | +445 | −0.4 | +152 | 62.9% | 63.6% | — | 1.21 | 6.9% | — | 48.6% | 0.4% | 72Low sample | |
| 46 | Balanced | +361 | +12.3 | +211 | 61.0% | 51.1% | 36.7% | 1.78 | 11.7% | — | 45.5% | 0.4% | 77Low sample | |
| 47 | Lane bully | +339 | +9.5 | +333 | 58.5% | 39.6% | 38.2% | 1.05 | 8.3% | — | 39.3% | 0.4% | 84Low sample | |
| 48 | Balanced | +170 | +6.1 | −43 | 53.8% | — | — | 0.92 | 7.7% | — | 56.4% | 0.2% | 39Low sample | |
| 49 | Balanced | +140 | +6.0 | −100 | 66.7% | — | — | 0.62 | 7.7% | — | 53.8% | 0.2% | 39Low sample | |
| 50 | Stabilizer | +125 | +6.5 | +260 | 52.1% | 59.7% | 50.9% | 1.38 | 13.4% | +0.2 | 55.5% | 0.6% | 119Low sample | |
| 51 | Balanced | +86 | −6.4 | −380 | 53.8% | 63.3% | 28.6% | 1.24 | 15.2% | +6.6 | 47.8% | 0.5% | 92Low sample | |
| 52 | Balanced | +81 | +4.9 | −556 | 51.5% | — | — | 0.91 | 3.0% | — | 33.3% | 0.2% | 33Low sample | |
| 53 | Balanced | +72 | −6.8 | +227 | 53.3% | — | — | 1.70 | 13.3% | — | 30.0% | 0.1% | 30Low sample | |
| 54 | Balanced | +71 | −3.3 | −144 | 50.0% | — | — | 1.66 | 34.0% | — | 52.0% | 0.3% | 50Low sample | |
| 55 | Balanced | −11 | −1.9 | −74 | 49.7% | 60.6% | 38.9% | 1.48 | 11.7% | −0.8 | 49.7% | 0.7% | 145Low sample | |
| 56 | Balanced | −27 | +1.9 | +38 | 47.6% | 53.3% | 39.4% | 1.08 | 9.1% | — | 47.0% | 0.3% | 66Low sample | |
| 57 | Balanced | −29 | −0.1 | +46 | 50.8% | 61.1% | 36.8% | 1.10 | 7.3% | +1.5 | 49.2% | 0.9% | 177Low sample | |
| 58 | Balanced | −52 | −6.8 | −421 | 50.0% | — | — | 1.38 | 8.1% | — | 43.2% | 0.2% | 37Low sample | |
| 59 | Balanced | −54 | +8.3 | −163 | 55.1% | — | — | 1.22 | 10.2% | — | 46.9% | 0.2% | 49Low sample | |
| 60 | Balanced | −162 | −0.3 | −144 | 50.0% | — | — | 1.32 | 18.3% | — | 46.7% | 0.3% | 60Low sample | |
| 61 | Stabilizer | −193 | −9.8 | −133 | 47.3% | 67.4% | 41.7% | 1.46 | 14.0% | — | 52.7% | 0.5% | 93Low sample | |
| 62 | Stabilizer | −203 | +0.9 | −553 | 45.9% | 56.5% | 42.5% | 1.10 | 11.9% | +8.1 | 48.9% | 0.7% | 135Low sample | |
| 63 | Balanced | −213 | −1.3 | −84 | 36.0% | 58.1% | 38.2% | 1.00 | 10.2% | −21.7 | 44.3% | 0.4% | 88Low sample | |
| 64 | Balanced | −223 | −7.2 | +62 | 42.2% | 65.2% | 38.1% | 1.27 | 10.0% | — | 50.0% | 0.6% | 110Low sample | |
| 65 | Stabilizer | −246 | −7.5 | −273 | 45.2% | 55.4% | 50.0% | 1.55 | 17.3% | +6.6 | 52.8% | 0.6% | 127Low sample | |
| 66 | Balanced | −255 | −0.2 | −293 | 40.6% | — | — | 0.59 | 6.3% | — | 56.3% | 0.2% | 32Low sample | |
| 67 | Balanced | −340 | −17.3 | −587 | 41.2% | — | — | 1.85 | 32.4% | — | 55.9% | 0.2% | 34Low sample | |
| 68 | Scaler | −346 | −4.2 | −203 | 42.8% | 66.1% | 36.7% | 1.10 | 7.1% | +1.5 | 50.0% | 0.7% | 140Low sample | |
| 69 | Balanced | −378 | −8.0 | −332 | 37.8% | — | — | 1.56 | 11.1% | — | 46.7% | 0.2% | 45Low sample | |
| 70 | Balanced | −401 | −21.3 | −80 | 44.1% | — | 33.3% | 1.47 | 20.3% | — | 47.5% | 0.3% | 59Low sample | |
| 71 | Balanced | −405 | −7.4 | −289 | 39.5% | — | — | 1.00 | 4.7% | — | 39.5% | 0.2% | 43Low sample | |
| 72 | Balanced | −413 | −8.7 | −52 | 40.6% | — | — | 0.52 | 6.1% | — | 57.6% | 0.2% | 33Low sample | |
| 73 | Balanced | −514 | +0.4 | −525 | 35.6% | — | 34.2% | 0.78 | 0.0% | — | 45.0% | 0.3% | 60Low sample | |
| 74 | Stabilizer | −580 | −2.7 | −830 | 34.0% | — | 48.4% | 0.49 | 10.6% | — | 44.7% | 0.2% | 47Low sample | |
| 75 | Balanced | −679 | −14.3 | −272 | 38.9% | — | — | 1.03 | 16.7% | — | 44.4% | 0.2% | 36Low 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
Top 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+1,037 gold at 15, ahead in 71% of lanes
Jayce+526 gold at 15, ahead in 61% of lanes
Tryndamere+507 gold at 15, ahead in 60% of lanes
Kled+466 gold at 15, ahead in 58% of lanes
Illaoi+456 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.
No Top Lane champion fits this profile on the current patch.
Scaler
Survives a rough lane and wins more the longer the game goes.
Kayle−755 gold at 15, win rate climbs +12.5 points into the late game
Cho'Gath−183 gold at 15, win rate climbs +8.4 points into the late game
Dr. Mundo−537 gold at 15, win rate climbs +7.8 points into the late game
Tahm Kench−291 gold at 15, win rate climbs +6.0 points into the late game
Malphite−443 gold at 15, win rate climbs +4.8 points into the late game
Stabilizer
Recovers from deficits often - a lost lane rarely means a lost game.
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: 10,072 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 - Top Lane, patch 26.19
Which Top Lane champion wins lane the most on patch 26.19?
Irelia has the biggest Top Lane lane lead on patch 26.19: +1,037 gold and +24.6 CS ahead of the lane opponent at 15 minutes on average, ahead in 71% of games, over 400 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 Top Lane, Gwen turns a gold lead at 15 into a win 72% of the time, while Ornn 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 Top Lane champions are lane bullies right now?
On patch 26.19, 14 Top Lane champions with a full sample hold a statistically clear gold lead at 15 minutes. The biggest: Irelia, Jayce, Tryndamere, Kled, Illaoi. 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 10,072 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.