Wukongvs Evelynn
Wukong vs Evelynn is a very close matchup in LoL patch 26.7. Wukong wins with a 50.0% win rate (+0.0%) over Evelynn based on 14 games. Wukong holds the advantage in both the early and late game. Below you'll find the best Wukong build, runes, laning stats, and strategies for the Wukong vs Evelynn matchup.
Wukong Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Wukong performs against them. You'll get head-to-head win rates, laning stats, the best build and runes for the matchup, and early vs late game analysis — all based on real ranked data.
Evelynn(50.0%)Who Wins the Wukong vs Evelynn Matchup?
Wukong vs Evelynn Matchup Summary
The Wukong vs Evelynn matchup is essentially a coin-flip matchup in League of Legends ranked play. Based on 14 recent matches analyzed, Wukong wins with a 50.0% win rate compared to Evelynn's 50.0%, giving Wukong a 0.0 percentage point advantage. Wukong holds a slight edge in both the early and late game, but the margins are thin enough that individual skill and jungle attention will often determine the outcome. Evelynn can still find windows through outplays and team coordination. The most significant statistical gap is in CS, where Wukong leads by 0.6 CS/min — a difference that heavily influences the outcome of trades and skirmishes. Wukong has a statistical edge, but the margin is close enough that respecting Evelynn's strengths is important. Trade when cooldowns are favorable, track the enemy jungler, and build toward your strongest item spikes to convert the slight advantage into a decisive lead. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Wukong vs Evelynn Laning Phase Breakdown
Wukong is favored during the laning phase against Evelynn, winning 3 out of 5 key stat categories. Wukong holds advantages in farming, crowd control and sustain, making them the stronger laner in this matchup.
Best Wukong Build Against Evelynn
Mercury's Treads is the optimal boots choice against Evelynn, providing the mobility and stats Wukong needs most in this matchup. The top-performing core items for Wukong against Evelynn are Profane Hydra, Sundered Sky and Death's Dance. This combination gives Wukong an effective balance of damage, survivability, and utility for the matchup. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Wukong vs Evelynn matchup.
Early Game vs Late Game
Wukong50.0%Evelynn50.0%Wukong50.0%Evelynn50.0%The early game (first 15 minutes) is a toss-up between Wukong and Evelynn, with Wukong holding a razor-thin 50.0% win rate edge (+0.0%). Individual skill and jungle proximity will matter more than champion advantage in the early laning phase.
Late game (25+ minutes) is equally balanced, with Wukong at 50.0% win rate — only 0.0 points ahead of Evelynn. Team fight execution and macro play determine the winner at this stage, not champion matchup advantage.
This matchup is remarkably even at every stage of the game. Neither Wukong nor Evelynn has a phase-specific advantage, making this a pure skill matchup where individual mechanics, decision-making, and team coordination determine the outcome.
Best Wukong Runes Against Evelynn
Precision
Inspiration
The Precision primary with Inspiration secondary combination helps Wukong maximize their potential in this closely contested matchup, providing the right mix of offensive and defensive tools to edge out Evelynn.
Wukong matchup data for League of Legends patch 26.7. The table below shows Wukong's win rate, gold difference, and performance stats against every champion in the current meta. Click any champion name to see a detailed head-to-head breakdown including the best Wukong build, runes, laning stats, and early vs late game analysis for that specific matchup.
Opponent | Win Rate | Matches | CS/min | DMG/min | Gold/game | Early WR | Late WR |
|---|---|---|---|---|---|---|---|
| 54.93% | 71 | 1.1 | 613 | 12,336 | 54.5% | 55.3% | |
| 48.28% | 58 | 1.4 | 660 | 13,102 | 60.0% | 39.4% | |
| 58.93% | 56 | 1.0 | 703 | 12,824 | 66.7% | 51.7% | |
| 60.71% | 56 | 1.2 | 757 | 13,090 | 63.6% | 58.8% | |
| 44.00% | 50 | 1.2 | 567 | 11,527 | 42.3% | 45.8% | |
| 60.42% | 48 | 0.9 | 667 | 12,265 | 55.0% | 64.3% | |
| 56.82% | 44 | 5.6 | 821 | 13,186 | 62.5% | 53.6% | |
| 35.71% | 42 | 1.1 | 640 | 12,264 | 15.8% | 52.2% | |
| 40.54% | 37 | 2.8 | 819 | 11,980 | 50.0% | 31.6% | |
| 44.44% | 36 | 1.0 | 608 | 12,730 | 42.9% | 45.5% | |
| 57.14% | 35 | 1.0 | 621 | 12,265 | 52.4% | 64.3% | |
| 45.45% | 33 | 1.1 | 612 | 12,475 | 41.7% | 47.6% | |
| 38.71% | 31 | 2.7 | 734 | 13,710 | 62.5% | 30.4% | |
| 50.00% | 30 | 1.3 | 616 | 11,207 | 56.3% | 42.9% | |
| 50.00% | 30 | 1.1 | 627 | 12,570 | 38.5% | 58.8% | |
| 68.97% | 29 | 5.3 | 881 | 13,106 | 81.8% | 61.1% | |
| 51.85% | 27 | 3.2 | 696 | 12,598 | 33.3% | 61.1% | |
| 42.31% | 26 | 1.0 | 635 | 12,701 | 50.0% | 35.7% | |
| 60.00% | 25 | 3.2 | 685 | 13,082 | 45.5% | 71.4% | |
| 58.33% | 24 | 1.2 | 692 | 13,031 | 50.0% | 66.7% | |
| 50.00% | 24 | 4.9 | 856 | 12,343 | 33.3% | 60.0% | |
| 54.55% | 22 | 1.5 | 688 | 13,190 | 50.0% | 57.1% | |
| 66.67% | 21 | 1.7 | 698 | 11,941 | 88.9% | 50.0% | |
| 57.14% | 21 | 0.9 | 686 | 13,202 | 42.9% | 64.3% | |
| 45.00% | 20 | 3.4 | 693 | 11,986 | 45.5% | 44.4% | |
| 45.00% | 20 | 2.9 | 524 | 8,895 | 46.1% | 42.9% | |
| 42.11% | 19 | 1.4 | 680 | 12,068 | 42.9% | 41.7% | |
| 31.58% | 19 | 4.1 | 687 | 12,736 | 33.3% | 30.0% | |
| 42.11% | 19 | 4.2 | 543 | 11,641 | 55.6% | 30.0% | |
| 42.11% | 19 | 1.3 | 710 | 14,093 | 33.3% | 46.1% | |
| 57.89% | 19 | 1.1 | 762 | 13,615 | 62.5% | 54.5% | |
| 73.68% | 19 | 2.8 | 758 | 13,656 | 71.4% | 75.0% | |
| 78.95% | 19 | 0.9 | 568 | 12,624 | 80.0% | 77.8% | |
| 42.11% | 19 | 1.1 | 687 | 11,883 | 33.3% | 50.0% | |
| 47.06% | 17 | 5.8 | 806 | 13,906 | 33.3% | 50.0% | |
| 29.41% | 17 | 0.9 | 633 | 13,150 | 25.0% | 30.8% | |
| 52.94% | 17 | 2.4 | 718 | 14,017 | 50.0% | 54.5% | |
| 37.50% | 16 | 1.3 | 691 | 12,509 | 20.0% | 45.5% | |
| 37.50% | 16 | 7.1 | 840 | 13,723 | 44.4% | 28.6% | |
| 53.33% | 15 | 1.7 | 712 | 12,552 | 71.4% | 37.5% | |
| 20.00% | 15 | 4.1 | 719 | 10,764 | 14.3% | 25.0% | |
| 53.33% | 15 | 0.8 | 649 | 10,311 | 41.7% | 100.0% | |
| 78.57% | 14 | 3.3 | 663 | 13,042 | 60.0% | 88.9% | |
| 50.00% | 14 | 6.3 | 809 | 13,020 | 37.5% | 66.7% | |
| 50.00% | 14 | 3.1 | 860 | 13,784 | 50.0% | 50.0% | |
| 57.14% | 14 | 6.4 | 748 | 11,088 | 66.7% | 40.0% | |
| 50.00% | 14 | 1.3 | 694 | 13,797 | 50.0% | 50.0% | |
| 23.08% | 13 | 6.2 | 816 | 11,164 | 40.0% | 12.5% | |
| 46.15% | 13 | 5.6 | 725 | 11,666 | 40.0% | 50.0% | |
| 53.85% | 13 | 6.9 | 771 | 12,807 | 40.0% | 62.5% | |
| 53.85% | 13 | 0.9 | 678 | 13,041 | 66.7% | 25.0% | |
| 53.85% | 13 | 1.2 | 651 | 13,894 | 0.0% | 70.0% | |
| 66.67% | 12 | 5.7 | 720 | 10,309 | 66.7% | 66.7% | |
| 33.33% | 12 | 6.7 | 792 | 12,616 | 50.0% | 16.7% | |
| 45.45% | 11 | 1.1 | 774 | 14,811 | 50.0% | 44.4% | |
| 54.55% | 11 | 6.0 | 879 | 12,935 | 66.7% | 40.0% | |
| 45.45% | 11 | 1.6 | 784 | 14,201 | 75.0% | 28.6% | |
| 36.36% | 11 | 2.3 | 603 | 9,358 | 16.7% | 60.0% | |
| 60.00% | 10 | 1.4 | 670 | 11,580 | 80.0% | 40.0% | |
| 50.00% | 10 | 5.5 | 1,112 | 13,883 | 0.0% | 62.5% | |
| 40.00% | 10 | 0.8 | 472 | 10,377 | 33.3% | 50.0% | |
| 55.56% | 9 | 6.8 | 821 | 13,115 | 80.0% | 25.0% | |
| 55.56% | 9 | 6.6 | 755 | 12,621 | 60.0% | 50.0% | |
| 50.00% | 8 | 1.4 | 641 | 12,173 | 66.7% | 40.0% | |
| 50.00% | 8 | 5.3 | 640 | 13,310 | 0.0% | 66.7% | |
| 37.50% | 8 | 1.6 | 602 | 13,280 | 25.0% | 50.0% | |
| 50.00% | 8 | 5.7 | 852 | 10,317 | 50.0% | 50.0% | |
| 50.00% | 8 | 4.7 | 739 | 14,011 | 66.7% | 40.0% | |
| 57.14% | 7 | 4.3 | 732 | 12,392 | 66.7% | 50.0% | |
| 42.86% | 7 | 5.4 | 803 | 11,332 | 40.0% | 50.0% | |
| 85.71% | 7 | 2.6 | 802 | 14,223 | 50.0% | 100.0% | |
| 50.00% | 6 | 4.8 | 807 | 12,800 | 50.0% | 50.0% | |
| 50.00% | 6 | 5.3 | 979 | 12,110 | 0.0% | 75.0% | |
| 33.33% | 6 | 1.4 | 574 | 11,480 | 33.3% | 33.3% | |
| 60.00% | 5 | 2.2 | 682 | 15,368 | 100.0% | 50.0% | |
| 60.00% | 5 | 6.3 | 738 | 10,368 | 100.0% | 50.0% | |
| 100.00% | 5 | 5.3 | 1,031 | 12,112 | 100.0% | 100.0% | |
| 80.00% | 5 | 6.3 | 963 | 9,421 | 100.0% | 50.0% | |
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Wukong vs Evelynn - Frequently Asked Questions
How does Wukong do against Evelynn in League of Legends?
Wukong wins the Wukong vs Evelynn matchup with a 50.0% win rate compared to Evelynn's 50.0%, a 0.0 percentage point difference. This data is based on 14 recent ranked games in patch 26.7.
How does Wukong do against Evelynn in the early game?
In the early game, Wukong has the advantage against Evelynn with a 50.0% win rate versus 50.0%. Wukong players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Wukong do against Evelynn in the late game?
In the late game, Wukong takes over the Wukong vs Evelynn matchup with a 50.0% win rate compared to 50.0%. Wukong scales better into team fights and objective contests after 25 minutes.
Who wins the Wukong vs Evelynn matchup?
Wukong wins the matchup against Evelynn with a 50.0% win rate in League of Legends patch 26.7. The 0.0 percentage point advantage means Wukong is slightly favored in this lane matchup based on 14 games analyzed.
What is the best Wukong build against Evelynn?
The best Wukong build against Evelynn includes Profane Hydra, Sundered Sky, Death's Dance with Mercury's Treads. Check the matchup breakdown above for the full item path and build order.
What are the best Wukong runes against Evelynn?
The best Wukong runes against Evelynn use the Precision primary tree with Inspiration secondary. This rune setup achieves a 100.0% win rate in the Wukong vs Evelynn matchup. See the full rune breakdown in the matchup comparison above.
Does Wukong counter Evelynn?
Yes, Wukong has a favorable matchup against Evelynn with a 50.0% win rate. Wukong slightly edges out Evelynn in lane based on current patch 26.7 data.
How do I play Wukong against Evelynn?
When playing Wukong against Evelynn, leverage your statistical advantages by trading aggressively during favorable windows. You have early game priority — look for kills and zone control before first recall. Build the recommended items and runes for this specific matchup for the best results.