Sennavs Wukong
Senna vs Wukong is a decisive matchup in LoL patch 26.10. Wukong wins with a 55.6% win rate (+11.1%) over Senna based on 9 games. Senna wins the early laning phase while Wukong scales better into the late game. Below you'll find the best Senna build, runes, laning stats, and strategies for the Senna vs Wukong matchup.
Senna Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Senna 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.
Wukong(44.4%)Who Wins the Senna vs Wukong Matchup?
Senna vs Wukong Matchup Summary
The Senna vs Wukong matchup is a decisive matchup in League of Legends ranked play. Based on 9 recent matches analyzed, Wukong wins with a 55.6% win rate compared to Senna's 44.4%, giving Wukong a 11.1 percentage point advantage. Game phase dynamics play a critical role here: Senna controls the early laning stage, but Wukong outscales as the game goes longer. The matchup shifts dramatically depending on game length — Senna needs to press advantages before Wukong reaches their power spikes, while Wukong should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Senna leads by 0.8s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Wukong has a strong advantage in this matchup. Senna players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Wukong 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.
Senna vs Wukong Laning Phase Breakdown
Wukong is favored during the laning phase against Senna, 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 Senna Build Against Wukong
Boots of Swiftness is the optimal boots choice against Wukong, providing the mobility and stats Senna needs most in this matchup. The top-performing core items for Senna against Wukong are Rapid Firecannon, Statikk Shiv and Black Cleaver. This combination gives Senna an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 60.0% win rate across 5 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 Senna vs Wukong matchup.
Early Game vs Late Game
Senna0.0%Wukong0.0%Senna44.4%Wukong55.6%The early game (first 15 minutes) is a toss-up between Senna and Wukong, with Senna holding a razor-thin 0.0% win rate edge (+0.0%). Individual skill and jungle proximity will matter more than champion advantage in the early laning phase.
Wukong is far superior in the late game (25+ minutes), boasting a 55.6% win rate — 11.1 points above Senna. Extended games heavily favor Wukong, whose kit and scaling make them a dominant force in team fights and objective control.
The power dynamics shift as the game progresses — Senna has the edge early, but Wukong gradually takes over. However, the margins are slim enough that either champion can win at any stage with the right plays. Focus on taking advantages when you have them rather than waiting for a specific game phase.
Best Senna Runes Against Wukong
Sorcery
Precision
The Sorcery and Precision rune setup gives Senna the best tools to compete against Wukong in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Senna matchup data for League of Legends patch 26.10. The table below shows Senna'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 Senna 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 |
|---|---|---|---|---|---|---|---|
| 49.43% | 435 | 1.7 | 574 | 10,094 | 42.3% | 54.2% | |
| 49.32% | 365 | 6.2 | 911 | 13,470 | 46.3% | 51.4% | |
| 53.30% | 364 | 1.6 | 640 | 9,985 | 52.4% | 54.2% | |
| 51.08% | 323 | 1.8 | 551 | 10,312 | 39.7% | 58.9% | |
| 53.48% | 316 | 1.5 | 610 | 10,117 | 51.4% | 55.1% | |
| 53.09% | 307 | 5.3 | 726 | 11,656 | 50.0% | 55.5% | |
| 49.81% | 265 | 1.5 | 595 | 10,300 | 48.0% | 51.4% | |
| 50.19% | 263 | 6.0 | 748 | 12,843 | 54.0% | 47.4% | |
| 47.30% | 241 | 2.3 | 638 | 11,308 | 43.7% | 49.4% | |
| 47.37% | 209 | 1.6 | 620 | 10,106 | 46.0% | 48.4% | |
| 45.26% | 190 | 1.7 | 645 | 11,005 | 50.7% | 42.1% | |
| 48.31% | 178 | 1.5 | 608 | 9,481 | 49.0% | 47.6% | |
| 47.67% | 172 | 1.6 | 616 | 10,638 | 47.8% | 47.6% | |
| 45.03% | 171 | 1.5 | 585 | 9,803 | 52.9% | 37.2% | |
| 48.48% | 165 | 1.5 | 632 | 9,439 | 49.4% | 47.4% | |
| 44.24% | 165 | 6.1 | 796 | 12,870 | 43.6% | 44.8% | |
| 46.67% | 165 | 5.9 | 773 | 12,766 | 52.3% | 43.0% | |
| 51.88% | 160 | 1.5 | 576 | 9,904 | 46.5% | 56.2% | |
| 55.70% | 158 | 5.6 | 814 | 13,043 | 47.5% | 60.8% | |
| 51.68% | 149 | 5.3 | 772 | 12,581 | 49.3% | 53.8% | |
| 52.11% | 142 | 1.5 | 526 | 10,138 | 58.1% | 47.5% | |
| 50.71% | 140 | 2.2 | 672 | 11,013 | 60.0% | 46.3% | |
| 55.07% | 138 | 1.6 | 611 | 10,163 | 53.1% | 56.8% | |
| 50.00% | 134 | 1.8 | 586 | 11,220 | 54.4% | 47.7% | |
| 53.79% | 132 | 1.6 | 619 | 10,096 | 56.7% | 51.4% | |
| 57.69% | 130 | 1.7 | 604 | 10,650 | 52.1% | 61.0% | |
| 55.91% | 127 | 1.5 | 689 | 10,240 | 48.5% | 63.9% | |
| 60.00% | 125 | 1.5 | 637 | 9,944 | 63.1% | 56.7% | |
| 50.81% | 124 | 1.6 | 737 | 9,395 | 56.9% | 44.1% | |
| 55.26% | 114 | 1.8 | 609 | 10,609 | 47.7% | 60.0% | |
| 52.63% | 114 | 1.4 | 590 | 9,614 | 55.2% | 50.0% | |
| 53.33% | 90 | 6.0 | 841 | 13,148 | 48.8% | 57.5% | |
| 54.32% | 81 | 5.9 | 848 | 13,222 | 65.8% | 44.2% | |
| 58.02% | 81 | 2.6 | 688 | 11,234 | 56.7% | 58.8% | |
| 50.65% | 77 | 1.5 | 614 | 9,840 | 57.5% | 43.2% | |
| 44.74% | 76 | 1.5 | 695 | 10,966 | 50.0% | 41.7% | |
| 49.30% | 71 | 6.1 | 840 | 12,679 | 53.3% | 46.3% | |
| 50.70% | 71 | 1.5 | 570 | 9,810 | 59.4% | 43.6% | |
| 41.18% | 68 | 6.0 | 797 | 13,299 | 50.0% | 34.2% | |
| 56.06% | 66 | 6.5 | 862 | 13,532 | 66.7% | 47.2% | |
| 44.44% | 63 | 1.7 | 656 | 10,203 | 57.6% | 30.0% | |
| 54.84% | 62 | 1.5 | 651 | 10,420 | 61.5% | 50.0% | |
| 49.15% | 59 | 5.0 | 557 | 11,062 | 53.6% | 45.2% | |
| 62.71% | 59 | 1.6 | 676 | 10,879 | 53.9% | 69.7% | |
| 47.27% | 55 | 2.4 | 613 | 10,632 | 36.8% | 52.8% | |
| 48.15% | 54 | 5.7 | 634 | 11,139 | 37.0% | 59.3% | |
| 43.40% | 53 | 5.8 | 829 | 11,680 | 48.1% | 38.5% | |
| 58.00% | 50 | 1.9 | 607 | 10,944 | 42.1% | 67.7% | |
| 46.94% | 49 | 1.8 | 636 | 11,543 | 37.5% | 51.5% | |
| 60.87% | 46 | 6.7 | 883 | 12,915 | 59.1% | 62.5% | |
| 67.44% | 43 | 1.6 | 664 | 11,215 | 80.0% | 60.7% | |
| 62.50% | 40 | 3.4 | 671 | 11,161 | 56.3% | 66.7% | |
| 50.00% | 40 | 6.3 | 860 | 12,667 | 36.8% | 61.9% | |
| 44.74% | 38 | 2.4 | 674 | 10,652 | 53.3% | 39.1% | |
| 55.26% | 38 | 5.7 | 851 | 13,483 | 33.3% | 65.4% | |
| 45.95% | 37 | 5.4 | 766 | 11,808 | 40.0% | 50.0% | |
| 38.89% | 36 | 6.5 | 820 | 11,876 | 40.0% | 37.5% | |
| 35.29% | 34 | 2.6 | 663 | 11,419 | 30.0% | 37.5% | |
| 63.64% | 33 | 1.4 | 733 | 10,011 | 78.6% | 52.6% | |
| 53.13% | 32 | 2.3 | 643 | 10,530 | 54.5% | 52.4% | |
| 54.84% | 31 | 5.1 | 696 | 11,827 | 30.8% | 72.2% | |
| 51.61% | 31 | 1.5 | 612 | 9,670 | 62.5% | 40.0% | |
| 42.86% | 28 | 5.2 | 756 | 12,848 | 54.5% | 35.3% | |
| 46.43% | 28 | 6.2 | 895 | 13,806 | 50.0% | 43.8% | |
| 42.31% | 26 | 5.6 | 750 | 12,728 | 20.0% | 56.3% | |
| 32.00% | 25 | 6.2 | 830 | 11,049 | 25.0% | 44.4% | |
| 60.00% | 25 | 5.2 | 762 | 11,908 | 71.4% | 45.5% | |
| 38.10% | 21 | 2.8 | 662 | 11,769 | 42.9% | 35.7% | |
| 57.89% | 19 | 2.5 | 562 | 11,267 | 50.0% | 61.5% | |
| 57.89% | 19 | 2.7 | 821 | 11,336 | 44.4% | 70.0% | |
| 47.06% | 17 | 3.1 | 823 | 10,592 | 28.6% | 60.0% | |
| 47.06% | 17 | 1.9 | 573 | 9,969 | 44.4% | 50.0% | |
| 37.50% | 16 | 1.9 | 558 | 10,407 | 42.9% | 33.3% | |
| 56.25% | 16 | 1.6 | 597 | 10,160 | 71.4% | 44.4% | |
| 56.25% | 16 | 1.8 | 605 | 9,174 | 22.2% | 100.0% | |
| 60.00% | 15 | 1.8 | 559 | 10,633 | 42.9% | 75.0% | |
| 64.29% | 14 | 5.6 | 820 | 10,514 | 70.0% | 50.0% | |
| 50.00% | 14 | 5.7 | 861 | 12,538 | 33.3% | 62.5% | |
| 42.86% | 14 | 3.0 | 760 | 12,798 | 100.0% | 33.3% | |
| 35.71% | 14 | 1.9 | 673 | 11,022 | 60.0% | 22.2% | |
| 53.85% | 13 | 3.1 | 634 | 12,161 | 66.7% | 50.0% | |
| 58.33% | 12 | 2.4 | 674 | 12,639 | 75.0% | 50.0% | |
| 33.33% | 12 | 1.5 | 552 | 9,415 | 40.0% | 28.6% | |
| 45.45% | 11 | 6.3 | 857 | 11,166 | 33.3% | 50.0% | |
| 36.36% | 11 | 5.0 | 911 | 11,067 | 40.0% | 33.3% | |
| 50.00% | 10 | 4.0 | 685 | 8,772 | 57.1% | 33.3% | |
| 70.00% | 10 | 4.3 | 749 | 11,447 | 75.0% | 66.7% | |
| 77.78% | 9 | 2.1 | 735 | 9,699 | 75.0% | 80.0% | |
| 33.33% | 9 | 6.3 | 661 | 13,783 | 33.3% | 33.3% | |
| 44.44% | 9 | 2.1 | 714 | 13,055 | 0.0% | 44.4% | |
| 50.00% | 8 | 4.7 | 741 | 12,006 | 0.0% | 66.7% | |
| 37.50% | 8 | 4.9 | 788 | 10,161 | 60.0% | 0.0% | |
| 37.50% | 8 | 2.5 | 823 | 11,071 | 33.3% | 40.0% | |
| 75.00% | 8 | 1.6 | 789 | 12,774 | 100.0% | 66.7% | |
| 62.50% | 8 | 5.0 | 760 | 14,570 | 100.0% | 50.0% | |
| 75.00% | 8 | 1.2 | 594 | 8,524 | 80.0% | 66.7% | |
| 62.50% | 8 | 4.4 | 737 | 13,100 | 100.0% | 50.0% | |
| 50.00% | 8 | 1.4 | 768 | 9,200 | 40.0% | 66.7% | |
| 50.00% | 8 | 3.6 | 885 | 14,314 | 33.3% | 60.0% | |
| 28.57% | 7 | 4.4 | 717 | 11,836 | 0.0% | 28.6% | |
| 57.14% | 7 | 2.7 | 674 | 10,483 | 60.0% | 50.0% | |
| 42.86% | 7 | 1.6 | 605 | 9,540 | 50.0% | 33.3% | |
| 28.57% | 7 | 4.0 | 586 | 8,778 | 25.0% | 33.3% | |
| 42.86% | 7 | 3.1 | 626 | 12,489 | 50.0% | 40.0% | |
| 57.14% | 7 | 5.3 | 830 | 12,923 | 100.0% | 50.0% | |
| 28.57% | 7 | 4.0 | 670 | 11,130 | 66.7% | 0.0% | |
| 57.14% | 7 | 2.4 | 911 | 13,479 | 50.0% | 60.0% | |
| 50.00% | 6 | 4.9 | 878 | 12,067 | 0.0% | 60.0% | |
| 33.33% | 6 | 5.3 | 654 | 9,859 | 33.3% | 33.3% | |
| 40.00% | 5 | 5.2 | 769 | 11,052 | 50.0% | 33.3% | |
| 40.00% | 5 | 4.8 | 962 | 14,888 | 0.0% | 50.0% | |
| 60.00% | 5 | 3.7 | 830 | 13,253 | 100.0% | 50.0% | |
| 60.00% | 5 | 4.7 | 628 | 11,445 | 0.0% | 75.0% | |
| 80.00% | 5 | 2.8 | 909 | 13,037 | 100.0% | 75.0% | |
| 20.00% | 5 | 6.5 | 1,081 | 8,434 | 0.0% | 50.0% | |
| 40.00% | 5 | 4.8 | 762 | 11,983 | 0.0% | 66.7% | |
| 20.00% | 5 | 1.4 | 517 | 7,984 | 33.3% | 0.0% | |
| 20.00% | 5 | 1.7 | 424 | 8,396 | 33.3% | 0.0% | |
| 40.00% | 5 | 6.0 | 849 | 9,671 | 33.3% | 50.0% | |
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Senna vs Wukong - Frequently Asked Questions
How does Senna do against Wukong in League of Legends?
Wukong wins the Senna vs Wukong matchup with a 55.6% win rate compared to Senna's 44.4%, a 11.1 percentage point difference. This data is based on 9 recent ranked games in patch 26.10.
How does Senna do against Wukong in the early game?
In the early game, Senna has the advantage against Wukong with a 0.0% win rate versus 0.0%. Senna players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Senna do against Wukong in the late game?
In the late game, Wukong takes over the Senna vs Wukong matchup with a 55.6% win rate compared to 44.4%. Wukong scales better into team fights and objective contests after 25 minutes.
Who wins the Senna vs Wukong matchup?
Wukong wins the matchup against Senna with a 55.6% win rate in League of Legends patch 26.10. The 11.1 percentage point advantage means Wukong is significantly favored in this lane matchup based on 9 games analyzed.
What is the best Senna build against Wukong?
The best Senna build against Wukong includes Rapid Firecannon, Statikk Shiv, Black Cleaver with Boots of Swiftness. This build achieves a 60.0% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Senna runes against Wukong?
The best Senna runes against Wukong use the Sorcery primary tree with Precision secondary. This rune setup achieves a 100.0% win rate in the Senna vs Wukong matchup. See the full rune breakdown in the matchup comparison above.
Does Senna counter Wukong?
No, Senna struggles against Wukong with only a 44.4% win rate. Wukong has the advantage in this matchup. Senna players should focus on safe farming and avoiding extended trades to minimize Wukong's lead.
How do I play Senna against Wukong?
When playing Senna against Wukong, play cautiously and avoid Wukong's power spikes. Look for jungle assistance and team-dependent plays since Wukong has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.