Best Jungle Laners - Lane Phase Stats
Patch 26.19
70 Jungle champions ranked by how they do against their lane opponent at 15 minutes on patch 26.19, from 10,365 ranked games. Qiyana wins lane hardest at +390 gold ahead on average and is ahead in 61% of games. Nunu & Willump turns a gold lead into a win most often (71%), while Rammus recovers from a deficit best (46%).
- Patch
- 26.19
- Strongest laner
- Qiyana · +390
- Highest lane win rate
- Viego · 61.6%
- Best at closing a lead
- Nunu & Willump · 71.0%
- Best from behind
- Rammus · 45.9%
- Most solo kills
- Kha'Zix · 0.34
Jungle
Emerald+
Gold lead at 15
Patch 26.19 · Emerald+ · NA ranked Solo/Duo & Flex · Games: 10,365
Qiyana is the Jungle lane bully of patch 26.19: +390 gold, −0.1 CS and +44 XP ahead of the enemy laner at 15 minutes on average, and ahead in 61% of games. Across the role, 28% of champions with a full sample hold a statistically clear gold lead at 15.
Winning lane and winning the game are different skills. Nunu & Willump converts a gold lead into a win 71% of the time, the best in the role, while Rammus wins 46% of the games it starts behind, the strongest comeback profile. Kha'Zix takes the most solo kills before 15 (0.34 per game) and Briar draws first blood in 14% of games.
These numbers come from 10,365 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 Jungle 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 | +390 | −0.1 | +44 | 61.3% | 59.0% | 32.7% | 0.19 | 11.4% | −3.9 | 48.5% | 2.1% | 429 | |
| 2 | Lane bully | +374 | +0.2 | +53 | 61.2% | 60.6% | 32.0% | 0.34 | 7.7% | −1.5 | 49.8% | 4.0% | 822 | |
| 3 | Lane bully | +369 | −2.9 | −57 | 58.8% | 62.4% | 30.7% | 0.33 | 13.5% | −8.3 | 49.2% | 2.8% | 579 | |
| 4 | Lane bully | +363 | +2.8 | +175 | 61.6% | 62.5% | 35.4% | 0.19 | 6.3% | −1.4 | 52.2% | 4.2% | 872 | |
| 5 | Lane bully | +295 | +11.6 | +522 | 59.4% | 59.1% | 28.5% | 0.25 | 5.2% | −6.6 | 46.7% | 3.3% | 688 | |
| 6 | Lane bully | +239 | +1.6 | +67 | 55.9% | 68.8% | 34.8% | 0.25 | 10.3% | +3.5 | 54.0% | 3.0% | 631 | |
| 7 | Lane bully | +218 | +7.2 | +295 | 54.9% | 62.4% | 40.4% | 0.20 | 6.5% | −1.9 | 52.5% | 2.4% | 495 | |
| 8 | Lane bully | +183 | +0.1 | +34 | 56.3% | 66.7% | 29.0% | 0.11 | 7.6% | +0.9 | 50.0% | 2.2% | 462 | |
| 9 | Lane bully | +163 | −3.1 | +31 | 55.9% | 58.7% | 35.4% | 0.24 | 9.7% | −2.7 | 48.5% | 3.8% | 791 | |
| 10 | Lane bully | +143 | +7.5 | +169 | 53.2% | 60.8% | 36.8% | 0.17 | 7.4% | +0.2 | 49.5% | 4.3% | 893 | |
| 11 | Balanced | +121 | +1.3 | −56 | 56.3% | 61.6% | 35.1% | 0.23 | 8.9% | −7.0 | 49.3% | 1.1% | 225 | |
| 12 | Balanced | +93 | +6.8 | +290 | 54.4% | 62.9% | 39.7% | 0.26 | 4.1% | −6.0 | 52.5% | 1.7% | 345 | |
| 13 | Balanced | +77 | +7.4 | +290 | 52.9% | 65.8% | 37.0% | 0.18 | 5.5% | −0.9 | 52.2% | 3.7% | 766 | |
| 14 | Balanced | +76 | +0.6 | +80 | 54.2% | 62.5% | 36.9% | 0.28 | 8.2% | +7.4 | 50.8% | 2.2% | 451 | |
| 15 | Balanced | +64 | +8.8 | +366 | 52.8% | 63.4% | 36.1% | 0.12 | 6.9% | −6.8 | 50.4% | 2.6% | 534 | |
| 16 | Balanced | +18 | −6.2 | −147 | 49.9% | 64.2% | 40.2% | 0.23 | 7.2% | +0.7 | 52.2% | 1.9% | 389 | |
| 17 | Stabilizer | +1 | −10.4 | −252 | 51.1% | 63.7% | 45.0% | 0.17 | 9.0% | −4.3 | 54.7% | 1.3% | 267 | |
| 18 | Balanced | −10 | −3.4 | −38 | 50.5% | 65.9% | 39.0% | 0.20 | 8.7% | +7.8 | 52.2% | 3.0% | 624 | |
| 19 | Balanced | −23 | −0.2 | −66 | 49.5% | 58.0% | 32.9% | 0.15 | 6.7% | −5.3 | 45.5% | 2.1% | 446 | |
| 20 | Balanced | −54 | +5.1 | +59 | 48.1% | 64.9% | 35.0% | 0.24 | 10.8% | −6.4 | 49.0% | 1.2% | 241 | |
| 21 | Snowballer | −71 | −1.2 | −111 | 46.6% | 65.0% | 31.9% | 0.22 | 10.9% | +0.8 | 47.6% | 1.3% | 267 | |
| 22 | Stabilizer | −76 | −2.6 | −91 | 48.1% | 62.1% | 42.8% | 0.21 | 8.0% | +2.6 | 51.9% | 3.3% | 676 | |
| 23 | Balanced | −142 | −1.6 | −156 | 43.4% | 63.3% | 39.2% | 0.21 | 8.8% | +0.9 | 49.5% | 3.7% | 758 | |
| 24 | Balanced | −144 | −7.5 | −18 | 46.5% | 58.6% | 40.8% | 0.17 | 6.1% | +9.9 | 48.6% | 1.3% | 278 | |
| 25 | Balanced | −186 | −4.2 | −174 | 46.2% | 61.3% | 38.2% | 0.15 | 7.3% | −3.6 | 48.8% | 2.5% | 523 | |
| 26 | Balanced | −188 | −2.3 | −78 | 41.0% | 58.9% | 37.0% | 0.22 | 12.5% | +1.2 | 46.1% | 2.8% | 570 | |
| 27 | Scaler | −208 | +1.0 | −147 | 43.1% | 69.9% | 37.2% | 0.13 | 3.9% | +13.4 | 51.0% | 1.9% | 388 | |
| 28 | Scaler | −239 | −3.8 | −120 | 46.1% | 55.1% | 41.3% | 0.12 | 6.5% | +3.0 | 47.5% | 1.9% | 385 | |
| 29 | Scaler | −266 | −4.6 | −232 | 41.7% | 65.3% | 40.4% | 0.17 | 7.3% | +11.5 | 51.6% | 1.2% | 246 | |
| 30 | Stabilizer | −307 | +0.1 | −60 | 40.6% | 61.3% | 41.9% | 0.12 | 6.2% | −1.1 | 50.0% | 3.7% | 758 | |
| 31 | Scaler | −357 | −3.8 | −356 | 38.5% | 63.2% | 36.7% | 0.08 | 2.5% | +2.2 | 46.7% | 1.3% | 276 | |
| 32 | Stabilizer | −390 | −7.1 | −265 | 38.2% | 71.0% | 42.9% | 0.06 | 7.0% | +1.4 | 53.5% | 1.7% | 344 | |
| 33 | Stabilizer | −393 | −4.8 | −258 | 40.7% | 60.8% | 44.6% | 0.14 | 6.4% | −5.5 | 51.5% | 1.4% | 297 | |
| 34 | Balanced | −409 | −5.9 | −317 | 37.9% | 60.4% | 38.2% | 0.10 | 5.1% | −7.7 | 46.3% | 1.2% | 255 | |
| 35 | Balanced | −478 | −9.4 | −326 | 37.0% | 68.4% | 37.2% | 0.07 | 3.9% | +1.3 | 49.0% | 1.8% | 363 | |
| 36 | Scaler | −634 | −12.6 | −527 | 29.0% | 80.0% | 45.9% | 0.07 | 7.6% | +5.4 | 56.0% | 1.1% | 225 | |
| 37 | Lane bully | +518 | +9.2 | +500 | 65.6% | 54.8% | — | 0.11 | 4.7% | — | 46.9% | 0.3% | 64Low sample | |
| 38 | Lane bully | +346 | −0.4 | −45 | 55.8% | 44.8% | 28.9% | 0.15 | 2.9% | −9.4 | 38.2% | 0.8% | 173Low sample | |
| 39 | Lane bully | +279 | +0.5 | +110 | 61.5% | 59.7% | 40.5% | 0.14 | 6.4% | +12.5 | 52.3% | 0.5% | 109Low sample | |
| 40 | Balanced | +193 | +2.2 | −53 | 56.4% | 53.2% | 39.6% | 0.10 | 8.1% | +1.3 | 46.8% | 0.5% | 111Low sample | |
| 41 | Snowballer | +151 | +5.9 | +280 | 51.8% | 62.1% | 35.2% | 0.17 | 4.4% | −14.0 | 49.1% | 0.6% | 114Low sample | |
| 42 | Balanced | +129 | +11.2 | +373 | 57.1% | — | — | 0.33 | 2.7% | — | 59.5% | 0.2% | 37Low sample | |
| 43 | Snowballer | +117 | +16.0 | +559 | 58.6% | 68.0% | 35.8% | 0.08 | 7.0% | +0.3 | 54.3% | 0.6% | 129Low sample | |
| 44 | Balanced | +117 | +6.2 | +132 | 56.3% | 60.3% | 31.1% | 0.17 | 7.6% | +6.9 | 46.7% | 0.5% | 105Low sample | |
| 45 | Snowballer | +100 | −2.9 | −127 | 57.1% | 62.5% | 29.2% | 0.26 | 9.4% | +1.2 | 48.5% | 0.8% | 171Low sample | |
| 46 | Stabilizer | +81 | −6.1 | −130 | 51.6% | 64.2% | 43.4% | 0.12 | 12.0% | +5.1 | 54.4% | 0.8% | 158Low sample | |
| 47 | Balanced | +67 | +17.1 | +627 | 54.0% | 66.7% | 34.4% | 0.26 | 4.9% | −14.5 | 53.5% | 0.7% | 144Low sample | |
| 48 | Balanced | +2 | −4.8 | −235 | 45.5% | 51.4% | 38.1% | 0.14 | 6.5% | — | 44.2% | 0.4% | 77Low sample | |
| 49 | Balanced | −9 | +6.0 | +147 | 50.5% | 61.1% | 32.1% | 0.19 | 4.7% | +1.7 | 46.7% | 0.5% | 107Low sample | |
| 50 | Balanced | −50 | −5.5 | −150 | 50.8% | 62.5% | 38.7% | 0.16 | 3.2% | — | 50.8% | 0.3% | 63Low sample | |
| 51 | Balanced | −51 | −6.8 | −339 | 48.9% | — | — | 0.18 | 4.4% | — | 55.6% | 0.2% | 45Low sample | |
| 52 | Balanced | −87 | +10.1 | +394 | 44.8% | — | 25.0% | 0.08 | 3.4% | — | 45.8% | 0.3% | 59Low sample | |
| 53 | Balanced | −95 | +3.8 | 0 | 45.7% | — | — | 0.33 | 5.6% | — | 52.8% | 0.2% | 36Low sample | |
| 54 | Stabilizer | −107 | +0.6 | +82 | 47.4% | 66.7% | 47.5% | 0.21 | 2.6% | — | 56.4% | 0.4% | 78Low sample | |
| 55 | Balanced | −114 | +0.1 | −89 | 48.6% | — | — | 0.17 | 5.7% | — | 57.1% | 0.2% | 35Low sample | |
| 56 | Balanced | −126 | +5.6 | +206 | 41.7% | — | — | 0.06 | 2.1% | — | 54.2% | 0.2% | 48Low sample | |
| 57 | Balanced | −134 | +3.1 | −24 | 44.0% | — | — | 0.22 | 11.8% | — | 41.2% | 0.3% | 51Low sample | |
| 58 | Snowballer | −172 | −0.8 | −105 | 50.6% | 62.6% | 29.2% | 0.24 | 5.5% | −8.8 | 46.7% | 0.9% | 182Low sample | |
| 59 | Balanced | −177 | +5.8 | +48 | 43.6% | 73.8% | 34.6% | 0.12 | 5.6% | +15.7 | 51.4% | 0.7% | 142Low sample | |
| 60 | Balanced | −197 | −4.8 | −181 | 43.0% | 69.8% | 36.8% | 0.28 | 3.0% | — | 51.0% | 0.5% | 100Low sample | |
| 61 | Balanced | −201 | −5.1 | −195 | 48.2% | — | — | 0.09 | 14.3% | — | 58.9% | 0.3% | 56Low sample | |
| 62 | Balanced | −241 | +1.4 | +106 | 37.1% | — | — | 0.11 | 0.0% | — | 44.4% | 0.2% | 36Low sample | |
| 63 | Stabilizer | −244 | −1.8 | −100 | 39.1% | 68.0% | 43.6% | 0.22 | 10.9% | — | 52.7% | 0.6% | 129Low sample | |
| 64 | Balanced | −262 | −13.3 | −540 | 40.7% | 45.7% | 39.2% | 0.15 | 12.8% | — | 41.9% | 0.4% | 86Low sample | |
| 65 | Stabilizer | −357 | −7.5 | −186 | 38.0% | 72.2% | 43.2% | 0.09 | 4.2% | −10.7 | 54.5% | 0.7% | 143Low sample | |
| 66 | Stabilizer | −379 | −7.2 | −371 | 39.0% | — | 47.2% | 0.12 | 3.4% | — | 54.2% | 0.3% | 59Low sample | |
| 67 | Scaler | −555 | −15.3 | −578 | 31.8% | 61.1% | 40.0% | 0.03 | 3.4% | +12.1 | 47.1% | 0.8% | 174Low sample | |
| 68 | Balanced | −623 | −8.6 | −427 | 24.4% | — | 23.5% | 0.04 | 6.7% | — | 31.1% | 0.2% | 45Low sample | |
| 69 | Stabilizer | −702 | −4.8 | −397 | 25.7% | — | 47.3% | 0.07 | 2.7% | — | 51.4% | 0.4% | 74Low sample | |
| 70 | Balanced | −846 | −10.7 | −528 | 23.3% | — | — | 0.00 | 6.7% | — | 53.3% | 0.1% | 30Low 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
Jungle 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.
Snowballer
Turns a big lead into a win far more often than it recovers from a deficit.
KindredWins 74% with a 1,000+ gold lead, 32% from behind
Scaler
Survives a rough lane and wins more the longer the game goes.
Bel'Veth−208 gold at 15, win rate climbs +13.4 points into the late game
Xin Zhao−266 gold at 15, win rate climbs +11.5 points into the late game
Rammus−634 gold at 15, win rate climbs +5.4 points into the late game
Vi−239 gold at 15, win rate climbs +3.0 points into the late game
Fiddlesticks−357 gold at 15, win rate climbs +2.2 points into the late game
Stabilizer
Recovers from deficits often - a lost lane rarely means a lost game.
EliseWins 45% of games from behind (+1 gold at 15)
AmumuWins 45% of games from behind (−393 gold at 15)
Nunu & WillumpWins 43% of games from behind (−390 gold at 15)
WukongWins 43% of games from behind (−76 gold at 15)
Cho'GathWins 42% of games from behind (−307 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: 10,365 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 - Jungle, patch 26.19
Which Jungle champion wins lane the most on patch 26.19?
Qiyana has the biggest Jungle lane lead on patch 26.19: +390 gold and −0.1 CS ahead of the lane opponent at 15 minutes on average, ahead in 61% of games, over 429 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 Jungle, Nunu & Willump turns a gold lead at 15 into a win 71% of the time, while Rammus 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 Jungle champions are lane bullies right now?
On patch 26.19, 10 Jungle champions with a full sample hold a statistically clear gold lead at 15 minutes. The biggest: Qiyana, Kha'Zix, Briar, Viego, Hecarim. 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 10,365 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.