Gwenvs Wukong
Gwen vs Wukong is a very close matchup in LoL patch 26.14. Gwen wins with a 50.0% win rate (+0.0%) over Wukong based on 20 games. Wukong wins the early laning phase while Gwen scales better into the late game. Below you'll find the best Gwen build, runes, laning stats, and strategies for the Gwen vs Wukong matchup.
Gwen Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Gwen 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.
Who Wins the Gwen vs Wukong Matchup?
Gwen vs Wukong Matchup Summary
The Gwen vs Wukong matchup is essentially a coin-flip matchup in League of Legends ranked play. Based on 20 recent matches analyzed, Gwen wins with a 50.0% win rate compared to Wukong's 50.0%, giving Gwen a 0.0 percentage point advantage. Game phase dynamics play a critical role here: Wukong controls the early laning stage, but Gwen outscales as the game goes longer. The matchup shifts dramatically depending on game length — Wukong needs to press advantages before Gwen reaches their power spikes, while Gwen should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Wukong leads by 0.3s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Gwen has a statistical edge, but the margin is close enough that respecting Wukong'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.
Gwen vs Wukong Laning Phase Breakdown
Wukong is favored during the laning phase against Gwen, winning 3 out of 5 key stat categories. Wukong holds advantages in gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Gwen Build Against Wukong
Sorcerer's Shoes is the optimal boots choice against Wukong, providing the mobility and stats Gwen needs most in this matchup. The top-performing core items for Gwen against Wukong are Shadowflame, Malignance and Lich Bane. This combination gives Gwen an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 100.0% win rate across 2 games — well above average and making it the top item path against Wukong. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Gwen vs Wukong matchup.
Early Game vs Late Game
Gwen46.1%
Wukong53.9%Gwen57.1%Wukong42.9%Wukong dominates the early game (first 15 minutes) with a commanding 53.9% win rate — a 7.7 percentage point lead over Gwen. This lopsided early game means Wukong can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Gwen is far superior in the late game (25+ minutes), boasting a 57.1% win rate — 14.3 points above Wukong. Extended games heavily favor Gwen, whose kit and scaling make them a dominant force in team fights and objective control.
This matchup features a dramatic power shift: Wukong must aggressively press their early advantage and close out the game before Gwen reaches their scaling breakpoints. If Gwen survives the laning phase without falling too far behind, the matchup flips in their favor. Dragon and Rift Herald control are pivotal — the team that secures early objectives can snowball or buy time to scale.
Best Gwen Runes Against Wukong
Precision
Inspiration
The Precision primary with Inspiration secondary combination helps Gwen maximize their potential in this closely contested matchup, providing the right mix of offensive and defensive tools to edge out Wukong.
Gwen matchup data for League of Legends patch 26.14. The table below shows Gwen'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 Gwen 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 |
|---|---|---|---|---|---|---|---|
| 55.41% | 74 | 6.6 | 1,231 | 11,850 | 50.0% | 60.0% | |
| 58.82% | 68 | 6.4 | 823 | 11,790 | 44.8% | 69.2% | |
| 46.97% | 66 | 6.0 | 835 | 10,965 | 41.4% | 51.4% | |
| 42.86% | 63 | 6.1 | 898 | 11,466 | 47.8% | 40.0% | |
| 44.90% | 49 | 5.8 | 765 | 11,020 | 42.9% | 46.4% | |
| 45.65% | 46 | 5.0 | 956 | 11,293 | 55.6% | 39.3% | |
| 47.73% | 44 | 6.5 | 890 | 11,726 | 45.5% | 50.0% | |
| 52.27% | 44 | 6.3 | 868 | 11,344 | 50.0% | 54.5% | |
| 46.51% | 43 | 6.3 | 867 | 13,036 | 43.8% | 48.1% | |
| 50.00% | 42 | 5.1 | 798 | 12,728 | 31.6% | 65.2% | |
| 47.50% | 40 | 6.6 | 956 | 12,070 | 46.7% | 48.0% | |
| 56.41% | 39 | 6.3 | 1,236 | 13,532 | 36.4% | 64.3% | |
| 48.65% | 37 | 5.8 | 739 | 12,522 | 46.1% | 50.0% | |
| 38.89% | 36 | 5.7 | 756 | 11,561 | 40.0% | 38.1% | |
| 38.89% | 36 | 5.8 | 823 | 11,881 | 42.9% | 36.4% | |
| 54.55% | 33 | 6.2 | 721 | 12,830 | 60.0% | 52.2% | |
| 30.30% | 33 | 6.8 | 911 | 14,825 | 50.0% | 21.7% | |
| 64.52% | 31 | 5.4 | 1,012 | 13,800 | 53.9% | 72.2% | |
| 48.39% | 31 | 5.9 | 922 | 10,935 | 43.8% | 53.3% | |
| 67.74% | 31 | 1.4 | 777 | 11,829 | 62.5% | 73.3% | |
| 51.61% | 31 | 6.7 | 986 | 12,376 | 60.0% | 43.8% | |
| 50.00% | 30 | 6.1 | 1,170 | 13,743 | 55.6% | 47.6% | |
| 48.28% | 29 | 3.9 | 919 | 12,169 | 35.7% | 60.0% | |
| 42.86% | 28 | 4.1 | 762 | 11,467 | 57.1% | 28.6% | |
| 57.14% | 28 | 6.3 | 948 | 11,806 | 50.0% | 61.1% | |
| 46.43% | 28 | 6.8 | 874 | 13,285 | 41.7% | 50.0% | |
| 32.14% | 28 | 2.7 | 729 | 11,790 | 18.2% | 41.2% | |
| 44.44% | 27 | 6.0 | 880 | 11,044 | 46.1% | 42.9% | |
| 55.56% | 27 | 6.4 | 853 | 11,646 | 41.7% | 66.7% | |
| 33.33% | 27 | 6.3 | 791 | 11,977 | 18.2% | 43.8% | |
| 53.85% | 26 | 6.1 | 691 | 11,543 | 53.3% | 54.5% | |
| 65.38% | 26 | 4.7 | 906 | 12,196 | 68.8% | 60.0% | |
| 40.00% | 25 | 6.3 | 814 | 13,052 | 40.0% | 40.0% | |
| 52.00% | 25 | 5.8 | 755 | 12,622 | 57.1% | 50.0% | |
| 29.17% | 24 | 5.7 | 802 | 10,385 | 25.0% | 31.3% | |
| 37.50% | 24 | 6.2 | 966 | 10,445 | 26.7% | 55.6% | |
| 50.00% | 24 | 6.0 | 1,062 | 11,609 | 50.0% | 50.0% | |
| 52.17% | 23 | 6.6 | 915 | 11,953 | 70.0% | 38.5% | |
| 60.87% | 23 | 6.1 | 943 | 12,261 | 50.0% | 64.7% | |
| 65.22% | 23 | 6.2 | 889 | 11,763 | 50.0% | 76.9% | |
| 63.64% | 22 | 6.1 | 954 | 13,111 | 57.1% | 66.7% | |
| 40.91% | 22 | 6.2 | 683 | 12,807 | 50.0% | 35.7% | |
| 47.62% | 21 | 3.5 | 711 | 12,728 | 55.6% | 41.7% | |
| 47.62% | 21 | 5.8 | 902 | 11,572 | 50.0% | 45.5% | |
| 61.90% | 21 | 1.4 | 905 | 13,858 | 55.6% | 66.7% | |
| 47.62% | 21 | 6.7 | 967 | 13,203 | 42.9% | 50.0% | |
| 50.00% | 20 | 1.6 | 958 | 14,756 | 60.0% | 46.7% | |
| 50.00% | 20 | 2.5 | 759 | 10,243 | 46.1% | 57.1% | |
| 52.63% | 19 | 5.9 | 765 | 12,619 | 20.0% | 64.3% | |
| 61.11% | 18 | 1.4 | 731 | 12,764 | 42.9% | 72.7% | |
| 50.00% | 18 | 5.5 | 950 | 11,951 | 44.4% | 55.6% | |
| 66.67% | 18 | 7.1 | 887 | 14,467 | 75.0% | 60.0% | |
| 61.11% | 18 | 6.0 | 831 | 11,324 | 62.5% | 60.0% | |
| 47.06% | 17 | 6.2 | 782 | 12,155 | 44.4% | 50.0% | |
| 62.50% | 16 | 7.1 | 709 | 11,290 | 66.7% | 57.1% | |
| 43.75% | 16 | 5.3 | 778 | 9,887 | 12.5% | 75.0% | |
| 68.75% | 16 | 6.6 | 954 | 13,006 | 57.1% | 77.8% | |
| 40.00% | 15 | 6.7 | 947 | 14,713 | 28.6% | 50.0% | |
| 42.86% | 14 | 6.8 | 954 | 13,179 | 28.6% | 57.1% | |
| 28.57% | 14 | 6.8 | 874 | 13,249 | 16.7% | 37.5% | |
| 21.43% | 14 | 6.4 | 966 | 13,381 | 25.0% | 20.0% | |
| 57.14% | 14 | 6.6 | 816 | 11,323 | 50.0% | 66.7% | |
| 53.85% | 13 | 6.3 | 752 | 8,431 | 55.6% | 50.0% | |
| 38.46% | 13 | 7.2 | 957 | 14,864 | 33.3% | 42.9% | |
| 41.67% | 12 | 6.7 | 833 | 13,438 | 100.0% | 30.0% | |
| 50.00% | 12 | 6.2 | 974 | 11,299 | 20.0% | 71.4% | |
| 50.00% | 12 | 6.1 | 915 | 13,402 | 75.0% | 37.5% | |
| 41.67% | 12 | 6.8 | 848 | 13,103 | 20.0% | 57.1% | |
| 33.33% | 12 | 6.4 | 882 | 12,315 | 40.0% | 28.6% | |
| 63.64% | 11 | 3.8 | 1,187 | 15,412 | 50.0% | 66.7% | |
| 36.36% | 11 | 2.1 | 621 | 13,659 | 100.0% | 12.5% | |
| 72.73% | 11 | 2.3 | 731 | 13,451 | 50.0% | 85.7% | |
| 45.45% | 11 | 7.0 | 830 | 13,052 | 50.0% | 42.9% | |
| 60.00% | 10 | 6.8 | 859 | 14,683 | 50.0% | 66.7% | |
| 30.00% | 10 | 6.1 | 1,057 | 12,555 | 25.0% | 33.3% | |
| 22.22% | 9 | 0.9 | 661 | 9,192 | 14.3% | 50.0% | |
| 44.44% | 9 | 2.3 | 824 | 13,244 | 40.0% | 50.0% | |
| 55.56% | 9 | 5.1 | 707 | 9,765 | 50.0% | 66.7% | |
| 44.44% | 9 | 1.4 | 888 | 15,893 | 50.0% | 42.9% | |
| 55.56% | 9 | 6.9 | 1,058 | 16,068 | 33.3% | 66.7% | |
| 44.44% | 9 | 5.5 | 805 | 13,817 | 50.0% | 40.0% | |
| 44.44% | 9 | 7.2 | 903 | 10,183 | 25.0% | 60.0% | |
| 44.44% | 9 | 1.2 | 602 | 12,554 | 50.0% | 40.0% | |
| 25.00% | 8 | 1.5 | 973 | 13,200 | 0.0% | 40.0% | |
| 62.50% | 8 | 6.3 | 810 | 11,796 | 33.3% | 80.0% | |
| 50.00% | 8 | 1.9 | 553 | 11,870 | 66.7% | 40.0% | |
| 62.50% | 8 | 6.0 | 967 | 13,086 | 100.0% | 50.0% | |
| 12.50% | 8 | 5.9 | 838 | 12,777 | 0.0% | 14.3% | |
| 42.86% | 7 | 1.3 | 939 | 14,464 | 50.0% | 40.0% | |
| 42.86% | 7 | 1.6 | 1,069 | 15,139 | 33.3% | 50.0% | |
| 71.43% | 7 | 1.3 | 836 | 14,218 | 75.0% | 66.7% | |
| 71.43% | 7 | 6.5 | 1,136 | 16,112 | 100.0% | 60.0% | |
| 71.43% | 7 | 6.1 | 900 | 13,525 | 100.0% | 60.0% | |
| 42.86% | 7 | 5.3 | 611 | 8,468 | 50.0% | 33.3% | |
| 33.33% | 6 | 2.1 | 966 | 15,977 | 0.0% | 66.7% | |
| 33.33% | 6 | 5.7 | 630 | 10,013 | 25.0% | 50.0% | |
| 16.67% | 6 | 6.9 | 883 | 12,339 | 0.0% | 25.0% | |
| 100.00% | 6 | 3.7 | 821 | 14,188 | 100.0% | 100.0% | |
| 33.33% | 6 | 6.4 | 824 | 15,784 | 0.0% | 33.3% | |
| 50.00% | 6 | 1.2 | 551 | 13,679 | 66.7% | 33.3% | |
| 20.00% | 5 | 2.9 | 643 | 11,323 | 0.0% | 33.3% | |
| 40.00% | 5 | 6.3 | 685 | 13,323 | 50.0% | 33.3% | |
| 20.00% | 5 | 7.1 | 837 | 13,550 | 0.0% | 33.3% | |
| 80.00% | 5 | 1.1 | 493 | 12,138 | 100.0% | 66.7% | |
| 60.00% | 5 | 6.0 | 555 | 10,904 | 50.0% | 66.7% | |
| 60.00% | 5 | 1.6 | 867 | 12,288 | 33.3% | 100.0% | |
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Gwen vs Wukong - Frequently Asked Questions
How does Gwen do against Wukong in League of Legends?
Gwen wins the Gwen vs Wukong matchup with a 50.0% win rate compared to Wukong's 50.0%, a 0.0 percentage point difference. This data is based on 20 recent ranked games in patch 26.14.
How does Gwen do against Wukong in the early game?
In the early game, Wukong has the advantage against Gwen with a 53.9% win rate versus 46.1%. Wukong players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Gwen do against Wukong in the late game?
In the late game, Gwen takes over the Gwen vs Wukong matchup with a 57.1% win rate compared to 42.9%. Gwen scales better into team fights and objective contests after 25 minutes.
Who wins the Gwen vs Wukong matchup?
Gwen wins the matchup against Wukong with a 50.0% win rate in League of Legends patch 26.14. The 0.0 percentage point advantage means Gwen is slightly favored in this lane matchup based on 20 games analyzed.
What is the best Gwen build against Wukong?
The best Gwen build against Wukong includes Shadowflame, Malignance, Lich Bane with Sorcerer's Shoes. This build achieves a 100.0% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Gwen runes against Wukong?
The best Gwen runes against Wukong use the Precision primary tree with Inspiration secondary. This rune setup achieves a 20.0% win rate in the Gwen vs Wukong matchup. See the full rune breakdown in the matchup comparison above.
Does Gwen counter Wukong?
Yes, Gwen has a favorable matchup against Wukong with a 50.0% win rate. Gwen slightly edges out Wukong in lane based on current patch 26.14 data.
How do I play Gwen against Wukong?
When playing Gwen against Wukong, leverage your statistical advantages by trading aggressively during favorable windows. Play safe early and scale into your power spikes where you outperform Wukong. Build the recommended items and runes for this specific matchup for the best results.