
Wukongvs Camille
Wukong vs Camille is a decisive matchup in LoL patch 26.7. Wukong wins with a 80.0% win rate (+60.0%) over Camille based on 5 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 Camille 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.
Who Wins the Wukong vs Camille Matchup?

Wukong vs Camille Matchup Summary
The Wukong vs Camille matchup is a decisive matchup in League of Legends ranked play. Based on 5 recent matches analyzed, Wukong wins with a 80.0% win rate compared to Camille's 20.0%, giving Wukong a 60.0 percentage point advantage. Wukong dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Camille players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in crowd control, where Camille leads by 0.3s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Wukong players can confidently pick into Camille and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Camille away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Wukong vs Camille Laning Phase Breakdown
Wukong is favored during the laning phase against Camille, winning 3 out of 5 key stat categories. Wukong holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Wukong Build Against Camille
Mercury's Treads is the optimal boots choice against Camille, providing the mobility and stats Wukong needs most in this matchup. The top-performing core items for Wukong against Camille are Profane Hydra, Serpent's Fang and Maw of Malmortius. 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 Camille matchup.
Early Game vs Late Game
Wukong dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Camille. This lopsided early game means Wukong can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Late game (25+ minutes) is equally balanced, with Wukong at 50.0% win rate — only 0.0 points ahead of Camille. Team fight execution and macro play determine the winner at this stage, not champion matchup advantage.
Wukong holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Camille players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Wukong Runes Against Camille
Running Precision primary with Resolve secondary allows Wukong to press their advantage against Camille, amplifying the strengths that make this a favorable matchup.
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 Camille - Frequently Asked Questions
How does Wukong do against Camille in League of Legends?
Wukong wins the Wukong vs Camille matchup with a 80.0% win rate compared to Camille's 20.0%, a 60.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.7.
How does Wukong do against Camille in the early game?
In the early game, Wukong has the advantage against Camille 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 Camille in the late game?
In the late game, Wukong takes over the Wukong vs Camille 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 Camille matchup?
Wukong wins the matchup against Camille with a 80.0% win rate in League of Legends patch 26.7. The 60.0 percentage point advantage means Wukong is significantly favored in this lane matchup based on 5 games analyzed.
What is the best Wukong build against Camille?
The best Wukong build against Camille includes Profane Hydra, Serpent's Fang, Maw of Malmortius with Mercury's Treads. Check the matchup breakdown above for the full item path and build order.
What are the best Wukong runes against Camille?
The best Wukong runes against Camille use the Precision primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Wukong vs Camille matchup. See the full rune breakdown in the matchup comparison above.
Does Wukong counter Camille?
Yes, Wukong has a favorable matchup against Camille with a 80.0% win rate. Wukong strongly counters Camille in lane based on current patch 26.7 data.
How do I play Wukong against Camille?
When playing Wukong against Camille, 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.
