Wukongvs Caitlyn
Wukong vs Caitlyn is a decisive matchup in LoL patch 26.10. Caitlyn wins with a 60.0% win rate (+20.0%) over Wukong based on 5 games. Wukong wins the early laning phase while Caitlyn scales better into the late game. Below you'll find the best Wukong build, runes, laning stats, and strategies for the Wukong vs Caitlyn 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.
Caitlyn(40.0%)Who Wins the Wukong vs Caitlyn Matchup?
Wukong vs Caitlyn Matchup Summary
The Wukong vs Caitlyn matchup is a decisive matchup in League of Legends ranked play. Based on 5 recent matches analyzed, Caitlyn wins with a 60.0% win rate compared to Wukong's 40.0%, giving Caitlyn a 20.0 percentage point advantage. Game phase dynamics play a critical role here: Wukong controls the early laning stage, but Caitlyn outscales as the game goes longer. The matchup shifts dramatically depending on game length — Wukong needs to press advantages before Caitlyn reaches their power spikes, while Caitlyn should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in sustain, where Wukong leads by 634 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Caitlyn has a strong advantage in this matchup. Wukong players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Caitlyn overextending. Avoid prolonged trades and wait for team fights where positioning and coordination matter more. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Wukong vs Caitlyn Laning Phase Breakdown
Caitlyn is favored during the laning phase against Wukong, winning 3 out of 5 key stat categories. Caitlyn holds advantages in farming, damage and crowd control, making them the stronger laner in this matchup.
Early Game vs Late Game
Wukong100.0%Caitlyn0.0%Wukong25.0%Caitlyn75.0%Wukong dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Caitlyn. This lopsided early game means Wukong can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Caitlyn is far superior in the late game (25+ minutes), boasting a 75.0% win rate — 50.0 points above Wukong. Extended games heavily favor Caitlyn, 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 Caitlyn reaches their scaling breakpoints. If Caitlyn 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 Wukong Runes Against Caitlyn
Precision
Resolve
The Precision and Resolve rune setup gives Wukong the best tools to compete against Caitlyn in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Wukong matchup data for League of Legends patch 26.10. 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 |
|---|---|---|---|---|---|---|---|
| 50.97% | 206 | 1.1 | 674 | 12,831 | 44.6% | 56.1% | |
| 47.57% | 206 | 1.1 | 641 | 12,450 | 51.8% | 44.6% | |
| 45.95% | 185 | 1.1 | 667 | 12,338 | 46.6% | 45.5% | |
| 44.69% | 179 | 1.1 | 621 | 11,917 | 53.7% | 37.1% | |
| 58.18% | 165 | 1.1 | 654 | 12,555 | 59.0% | 57.5% | |
| 46.84% | 158 | 1.0 | 591 | 11,374 | 44.8% | 49.3% | |
| 51.61% | 155 | 1.0 | 627 | 12,558 | 50.8% | 52.3% | |
| 47.37% | 152 | 1.3 | 608 | 11,548 | 44.2% | 50.7% | |
| 61.79% | 123 | 1.0 | 642 | 12,096 | 62.3% | 61.3% | |
| 54.62% | 119 | 1.1 | 588 | 11,991 | 59.3% | 50.8% | |
| 54.74% | 95 | 1.1 | 631 | 12,299 | 48.7% | 58.9% | |
| 49.46% | 93 | 1.5 | 651 | 11,314 | 55.3% | 43.5% | |
| 49.46% | 93 | 2.2 | 649 | 12,201 | 47.6% | 51.0% | |
| 62.64% | 91 | 5.3 | 806 | 13,172 | 60.0% | 63.9% | |
| 44.83% | 87 | 1.0 | 626 | 12,108 | 39.5% | 49.0% | |
| 56.10% | 82 | 1.8 | 688 | 12,466 | 52.6% | 59.1% | |
| 56.58% | 76 | 1.3 | 656 | 13,511 | 54.8% | 57.8% | |
| 56.58% | 76 | 1.1 | 662 | 12,824 | 57.1% | 56.3% | |
| 50.67% | 75 | 1.1 | 663 | 13,170 | 46.1% | 53.1% | |
| 58.90% | 73 | 2.6 | 661 | 11,796 | 63.9% | 54.0% | |
| 50.00% | 68 | 1.3 | 697 | 12,815 | 34.6% | 59.5% | |
| 56.45% | 62 | 4.8 | 683 | 11,625 | 52.0% | 59.5% | |
| 45.16% | 62 | 1.0 | 591 | 12,888 | 33.3% | 50.0% | |
| 52.46% | 61 | 5.7 | 779 | 11,321 | 55.9% | 48.1% | |
| 45.90% | 61 | 4.5 | 631 | 11,015 | 56.0% | 38.9% | |
| 53.33% | 60 | 1.4 | 650 | 12,178 | 56.0% | 51.4% | |
| 50.88% | 57 | 1.0 | 684 | 12,532 | 45.5% | 54.3% | |
| 55.36% | 56 | 1.2 | 669 | 12,583 | 65.5% | 44.4% | |
| 49.06% | 53 | 1.1 | 610 | 11,444 | 53.6% | 44.0% | |
| 54.72% | 53 | 1.3 | 680 | 12,986 | 69.2% | 40.7% | |
| 45.10% | 51 | 1.2 | 647 | 12,961 | 34.8% | 53.6% | |
| 54.00% | 50 | 1.2 | 757 | 12,857 | 64.7% | 48.5% | |
| 61.22% | 49 | 1.1 | 610 | 13,117 | 58.8% | 62.5% | |
| 51.06% | 47 | 2.4 | 676 | 12,237 | 57.7% | 42.9% | |
| 45.65% | 46 | 1.6 | 744 | 11,841 | 39.1% | 52.2% | |
| 43.18% | 44 | 1.3 | 608 | 12,300 | 52.4% | 34.8% | |
| 58.14% | 43 | 2.2 | 714 | 13,386 | 69.2% | 53.3% | |
| 52.38% | 42 | 6.1 | 875 | 13,149 | 54.5% | 51.6% | |
| 57.14% | 42 | 3.6 | 699 | 10,872 | 62.5% | 50.0% | |
| 52.38% | 42 | 6.4 | 827 | 12,925 | 71.4% | 42.9% | |
| 43.90% | 41 | 5.3 | 788 | 12,338 | 33.3% | 50.0% | |
| 63.41% | 41 | 1.0 | 658 | 12,943 | 55.6% | 69.6% | |
| 52.50% | 40 | 0.9 | 702 | 13,393 | 37.5% | 62.5% | |
| 50.00% | 38 | 3.5 | 682 | 11,042 | 63.6% | 31.3% | |
| 45.95% | 37 | 1.1 | 685 | 13,161 | 33.3% | 52.0% | |
| 50.00% | 36 | 5.7 | 812 | 12,296 | 50.0% | 50.0% | |
| 45.71% | 35 | 3.3 | 724 | 12,474 | 41.7% | 47.8% | |
| 45.71% | 35 | 0.9 | 604 | 10,450 | 57.9% | 31.3% | |
| 51.43% | 35 | 1.2 | 628 | 13,182 | 60.0% | 45.0% | |
| 54.55% | 33 | 6.1 | 722 | 10,937 | 57.1% | 50.0% | |
| 39.39% | 33 | 6.3 | 922 | 12,496 | 35.7% | 42.1% | |
| 42.42% | 33 | 3.7 | 902 | 12,806 | 33.3% | 45.8% | |
| 57.58% | 33 | 1.0 | 519 | 10,788 | 64.7% | 50.0% | |
| 53.13% | 32 | 1.9 | 707 | 13,582 | 53.3% | 52.9% | |
| 58.06% | 31 | 5.4 | 770 | 13,078 | 60.0% | 57.1% | |
| 41.94% | 31 | 2.9 | 759 | 11,602 | 44.4% | 38.5% | |
| 65.52% | 29 | 5.6 | 816 | 11,896 | 57.1% | 73.3% | |
| 62.07% | 29 | 4.1 | 711 | 13,457 | 80.0% | 52.6% | |
| 44.83% | 29 | 6.4 | 768 | 11,645 | 54.5% | 38.9% | |
| 41.38% | 29 | 3.5 | 811 | 11,863 | 46.1% | 37.5% | |
| 37.04% | 27 | 5.8 | 743 | 11,585 | 18.2% | 50.0% | |
| 57.69% | 26 | 2.9 | 743 | 12,020 | 66.7% | 50.0% | |
| 61.54% | 26 | 5.8 | 769 | 10,098 | 53.9% | 69.2% | |
| 72.00% | 25 | 1.0 | 587 | 12,058 | 69.2% | 75.0% | |
| 52.17% | 23 | 4.2 | 833 | 12,418 | 58.3% | 45.5% | |
| 47.83% | 23 | 4.9 | 789 | 12,076 | 57.1% | 43.8% | |
| 60.87% | 23 | 6.5 | 895 | 11,971 | 61.5% | 60.0% | |
| 54.55% | 22 | 2.6 | 618 | 11,632 | 45.5% | 63.6% | |
| 54.55% | 22 | 5.8 | 750 | 12,860 | 71.4% | 46.7% | |
| 40.91% | 22 | 0.9 | 634 | 12,394 | 40.0% | 41.7% | |
| 42.86% | 21 | 3.0 | 638 | 12,161 | 28.6% | 50.0% | |
| 52.63% | 19 | 6.0 | 707 | 12,849 | 42.9% | 58.3% | |
| 58.82% | 17 | 2.8 | 738 | 13,139 | 77.8% | 37.5% | |
| 47.06% | 17 | 5.8 | 784 | 10,924 | 42.9% | 50.0% | |
| 50.00% | 16 | 7.0 | 760 | 12,130 | 57.1% | 44.4% | |
| 56.25% | 16 | 5.7 | 824 | 13,478 | 60.0% | 54.5% | |
| 37.50% | 16 | 2.0 | 681 | 11,355 | 50.0% | 16.7% | |
| 26.67% | 15 | 4.6 | 746 | 12,720 | 40.0% | 20.0% | |
| 53.33% | 15 | 4.5 | 759 | 12,297 | 66.7% | 44.4% | |
| 46.67% | 15 | 1.3 | 662 | 13,914 | 50.0% | 45.5% | |
| 60.00% | 15 | 5.7 | 755 | 11,585 | 55.6% | 66.7% | |
| 26.67% | 15 | 5.7 | 642 | 10,524 | 40.0% | 20.0% | |
| 57.14% | 14 | 5.0 | 826 | 13,789 | 66.7% | 50.0% | |
| 35.71% | 14 | 5.2 | 749 | 11,764 | 40.0% | 33.3% | |
| 42.86% | 14 | 6.8 | 839 | 12,180 | 50.0% | 33.3% | |
| 53.85% | 13 | 5.8 | 905 | 13,236 | 66.7% | 42.9% | |
| 50.00% | 12 | 1.6 | 608 | 11,889 | 40.0% | 57.1% | |
| 41.67% | 12 | 4.8 | 635 | 10,348 | 40.0% | 42.9% | |
| 36.36% | 11 | 5.4 | 694 | 9,565 | 33.3% | 40.0% | |
| 72.73% | 11 | 6.3 | 954 | 11,916 | 71.4% | 75.0% | |
| 30.00% | 10 | 6.4 | 716 | 11,433 | 50.0% | 16.7% | |
| 40.00% | 10 | 1.9 | 810 | 13,800 | 25.0% | 50.0% | |
| 66.67% | 9 | 6.0 | 926 | 15,289 | 66.7% | 66.7% | |
| 75.00% | 8 | 5.9 | 851 | 10,618 | 75.0% | 75.0% | |
| 37.50% | 8 | 5.2 | 998 | 13,853 | 50.0% | 33.3% | |
| 37.50% | 8 | 5.0 | 762 | 10,020 | 33.3% | 40.0% | |
| 50.00% | 8 | 5.5 | 574 | 13,459 | 100.0% | 33.3% | |
| 62.50% | 8 | 5.8 | 766 | 14,231 | 50.0% | 66.7% | |
| 25.00% | 8 | 1.4 | 501 | 12,628 | 33.3% | 20.0% | |
| 42.86% | 7 | 5.2 | 808 | 13,030 | 100.0% | 33.3% | |
| 57.14% | 7 | 2.0 | 735 | 14,529 | 100.0% | 40.0% | |
| 50.00% | 6 | 2.2 | 723 | 10,717 | 100.0% | 25.0% | |
| 66.67% | 6 | 6.0 | 997 | 13,592 | 50.0% | 100.0% | |
| 50.00% | 6 | 2.4 | 662 | 11,570 | 100.0% | 40.0% | |
| 66.67% | 6 | 5.1 | 1,017 | 15,131 | 100.0% | 60.0% | |
| 66.67% | 6 | 2.4 | 744 | 14,546 | 50.0% | 75.0% | |
| 50.00% | 6 | 5.5 | 793 | 12,769 | 66.7% | 33.3% | |
| 60.00% | 5 | 5.2 | 732 | 10,883 | 100.0% | 50.0% | |
| 60.00% | 5 | 6.4 | 807 | 14,041 | 100.0% | 50.0% | |
| 60.00% | 5 | 5.9 | 898 | 13,689 | 50.0% | 66.7% | |
| 60.00% | 5 | 5.9 | 670 | 10,671 | 50.0% | 66.7% | |
| 80.00% | 5 | 6.3 | 830 | 15,188 | 100.0% | 75.0% | |
| 40.00% | 5 | 6.0 | 684 | 14,042 | 100.0% | 25.0% | |
| 40.00% | 5 | 4.7 | 548 | 8,478 | 33.3% | 50.0% | |
| 40.00% | 5 | 4.3 | 709 | 11,651 | 100.0% | 0.0% | |
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Wukong vs Caitlyn - Frequently Asked Questions
How does Wukong do against Caitlyn in League of Legends?
Caitlyn wins the Wukong vs Caitlyn matchup with a 60.0% win rate compared to Wukong's 40.0%, a 20.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.10.
How does Wukong do against Caitlyn in the early game?
In the early game, Wukong has the advantage against Caitlyn with a 100.0% win rate versus 0.0%. 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 Caitlyn in the late game?
In the late game, Caitlyn takes over the Wukong vs Caitlyn matchup with a 75.0% win rate compared to 25.0%. Caitlyn scales better into team fights and objective contests after 25 minutes.
Who wins the Wukong vs Caitlyn matchup?
Caitlyn wins the matchup against Wukong with a 60.0% win rate in League of Legends patch 26.10. The 20.0 percentage point advantage means Caitlyn is significantly favored in this lane matchup based on 5 games analyzed.
What is the best Wukong build against Caitlyn?
The best Wukong build against Caitlyn includes optimized core items. Check the matchup breakdown above for the full item path and build order.
What are the best Wukong runes against Caitlyn?
The best Wukong runes against Caitlyn use the Precision primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Wukong vs Caitlyn matchup. See the full rune breakdown in the matchup comparison above.
Does Wukong counter Caitlyn?
No, Wukong struggles against Caitlyn with only a 40.0% win rate. Caitlyn has the advantage in this matchup. Wukong players should focus on safe farming and avoiding extended trades to minimize Caitlyn's lead.
How do I play Wukong against Caitlyn?
When playing Wukong against Caitlyn, play cautiously and avoid Caitlyn's power spikes. Look for jungle assistance and team-dependent plays since Caitlyn has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.