Master Yivs Kayn
Master Yi vs Kayn is a decisive matchup in LoL patch 26.3. Master Yi wins with a 54.1% win rate (+8.2%) over Kayn based on 244 games. Master Yi holds the advantage in both the early and late game. Below you'll find the best Master Yi build, runes, laning stats, and strategies for the Master Yi vs Kayn matchup.
Master Yi Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Master Yi 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.
Kayn(54.1%)Who Wins the Master Yi vs Kayn Matchup?
Master Yi vs Kayn Matchup Summary
The Master Yi vs Kayn matchup is a decisive matchup in League of Legends ranked play. Based on 244 recent matches analyzed, Master Yi wins with a 54.1% win rate compared to Kayn's 45.9%, giving Master Yi a 8.2 percentage point advantage. Master Yi dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Kayn 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 Kayn leads by 0.3s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Master Yi players can confidently pick into Kayn and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Kayn away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Master Yi vs Kayn Laning Phase Breakdown
Master Yi is favored during the laning phase against Kayn, winning 3 out of 5 key stat categories. Master Yi holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Master Yi Build Against Kayn
Slightly Magical Footwear is the optimal boots choice against Kayn, providing the mobility and stats Master Yi needs most in this matchup. The top-performing core items for Master Yi against Kayn are Kraken Slayer, Death's Dance and Guinsoo's Rageblade. This combination gives Master Yi an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 86.7% win rate across 15 games — well above average and making it the top item path against Kayn. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Master Yi vs Kayn matchup.
Early Game vs Late Game
Master Yi58.1%Kayn41.9%Master Yi51.1%Kayn48.9%Master Yi dominates the early game (first 15 minutes) with a commanding 58.1% win rate — a 16.2 percentage point lead over Kayn. This lopsided early game means Master Yi can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
In the late game (25+ minutes), Master Yi takes over with a 51.1% win rate, leading Kayn by 2.2 percentage points. Master Yi scales more effectively into team fights and objective contests.
Master Yi holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Kayn players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Master Yi Runes Against Kayn
Precision
Inspiration
Running Precision primary with Inspiration secondary allows Master Yi to press their advantage against Kayn, amplifying the strengths that make this a favorable matchup.
Master Yi matchup data for League of Legends patch 26.3. The table below shows Master Yi'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 Master Yi 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 |
|---|---|---|---|---|---|---|---|
| 46.60% | 470 | 1.2 | 765 | 13,465 | 46.5% | 46.7% | |
| 45.81% | 334 | 1.1 | 786 | 13,387 | 48.5% | 43.4% | |
| 51.25% | 281 | 1.2 | 757 | 13,237 | 55.9% | 47.4% | |
| 49.03% | 257 | 1.3 | 802 | 13,126 | 47.9% | 50.0% | |
| 41.53% | 248 | 1.4 | 679 | 12,622 | 36.4% | 47.1% | |
| 45.93% | 246 | 1.2 | 758 | 13,567 | 42.2% | 49.2% | |
| 54.10% | 244 | 1.2 | 832 | 13,875 | 58.1% | 51.1% | |
| 47.92% | 240 | 1.3 | 760 | 13,544 | 52.4% | 44.4% | |
| 58.72% | 235 | 1.2 | 776 | 13,493 | 56.0% | 61.3% | |
| 42.13% | 197 | 1.2 | 763 | 13,137 | 41.0% | 43.0% | |
| 47.64% | 191 | 1.7 | 1,035 | 13,271 | 51.1% | 44.4% | |
| 50.62% | 162 | 1.4 | 825 | 13,610 | 52.8% | 48.9% | |
| 47.40% | 154 | 1.1 | 720 | 12,656 | 38.8% | 56.8% | |
| 48.67% | 150 | 1.3 | 833 | 13,787 | 46.6% | 50.6% | |
| 49.66% | 147 | 1.3 | 726 | 14,053 | 42.6% | 53.8% | |
| 44.53% | 128 | 2.0 | 851 | 13,012 | 39.1% | 50.9% | |
| 56.00% | 125 | 1.2 | 764 | 13,969 | 55.9% | 56.1% | |
| 52.03% | 123 | 1.2 | 815 | 13,257 | 46.5% | 56.9% | |
| 46.28% | 121 | 1.5 | 803 | 13,320 | 40.3% | 52.5% | |
| 52.10% | 119 | 2.3 | 736 | 12,728 | 43.9% | 59.7% | |
| 59.09% | 110 | 2.2 | 804 | 13,662 | 52.9% | 64.4% | |
| 42.59% | 108 | 1.6 | 809 | 13,002 | 36.7% | 47.5% | |
| 43.93% | 107 | 1.2 | 768 | 14,225 | 52.2% | 37.7% | |
| 50.96% | 104 | 1.3 | 766 | 13,608 | 49.0% | 52.8% | |
| 51.96% | 102 | 1.1 | 775 | 13,722 | 40.0% | 63.5% | |
| 61.39% | 101 | 1.1 | 808 | 13,736 | 70.8% | 52.8% | |
| 59.60% | 99 | 1.3 | 822 | 13,653 | 57.1% | 61.4% | |
| 50.00% | 84 | 1.2 | 792 | 13,475 | 44.2% | 56.1% | |
| 51.22% | 82 | 1.3 | 729 | 12,885 | 50.0% | 52.3% | |
| 53.66% | 82 | 1.2 | 794 | 13,968 | 65.8% | 43.2% | |
| 44.44% | 81 | 1.5 | 784 | 13,498 | 46.0% | 43.2% | |
| 61.73% | 81 | 1.1 | 779 | 13,287 | 58.5% | 65.0% | |
| 49.37% | 79 | 2.8 | 833 | 12,577 | 46.0% | 52.4% | |
| 36.99% | 73 | 1.4 | 743 | 12,367 | 29.3% | 46.9% | |
| 65.67% | 67 | 2.0 | 832 | 14,146 | 60.0% | 70.3% | |
| 43.08% | 65 | 2.9 | 746 | 13,046 | 54.2% | 36.6% | |
| 56.25% | 64 | 1.4 | 729 | 13,711 | 50.0% | 61.8% | |
| 77.78% | 63 | 1.6 | 957 | 14,500 | 75.9% | 79.4% | |
| 46.67% | 60 | 2.3 | 768 | 12,678 | 50.0% | 43.8% | |
| 63.33% | 60 | 1.3 | 829 | 14,137 | 60.7% | 65.6% | |
| 49.12% | 57 | 1.8 | 908 | 15,475 | 46.1% | 51.6% | |
| 40.35% | 57 | 3.3 | 914 | 13,813 | 40.9% | 40.0% | |
| 60.71% | 56 | 3.8 | 912 | 13,001 | 44.4% | 75.9% | |
| 61.11% | 54 | 1.4 | 933 | 15,479 | 66.7% | 58.3% | |
| 53.70% | 54 | 1.3 | 739 | 14,108 | 52.2% | 54.8% | |
| 37.74% | 53 | 1.2 | 650 | 12,506 | 33.3% | 43.5% | |
| 44.23% | 52 | 1.3 | 868 | 13,995 | 43.5% | 44.8% | |
| 44.90% | 49 | 1.4 | 815 | 14,618 | 50.0% | 41.4% | |
| 46.81% | 47 | 4.7 | 752 | 12,660 | 50.0% | 44.8% | |
| 37.78% | 45 | 5.1 | 902 | 12,627 | 33.3% | 41.7% | |
| 42.50% | 40 | 1.2 | 573 | 12,152 | 38.1% | 47.4% | |
| 50.00% | 38 | 5.8 | 846 | 13,220 | 57.1% | 45.8% | |
| 45.95% | 37 | 5.0 | 767 | 12,445 | 33.3% | 52.0% | |
| 48.57% | 35 | 3.0 | 736 | 11,931 | 42.1% | 56.3% | |
| 35.29% | 34 | 5.3 | 757 | 11,266 | 31.3% | 38.9% | |
| 44.12% | 34 | 4.5 | 948 | 13,232 | 21.4% | 60.0% | |
| 54.55% | 33 | 1.4 | 784 | 14,664 | 33.3% | 72.2% | |
| 53.13% | 32 | 2.6 | 940 | 15,283 | 40.0% | 59.1% | |
| 41.94% | 31 | 4.6 | 806 | 13,136 | 45.5% | 40.0% | |
| 27.59% | 29 | 3.2 | 840 | 12,086 | 23.1% | 31.3% | |
| 71.43% | 28 | 1.1 | 826 | 14,547 | 70.0% | 72.2% | |
| 37.04% | 27 | 5.5 | 825 | 13,013 | 45.5% | 31.3% | |
| 54.17% | 24 | 1.7 | 733 | 13,839 | 58.3% | 50.0% | |
| 56.52% | 23 | 2.3 | 809 | 14,263 | 55.6% | 57.1% | |
| 52.17% | 23 | 1.1 | 677 | 11,785 | 42.9% | 66.7% | |
| 31.82% | 22 | 5.0 | 696 | 11,312 | 33.3% | 30.8% | |
| 54.55% | 22 | 4.5 | 787 | 13,324 | 42.9% | 60.0% | |
| 36.36% | 22 | 5.8 | 849 | 12,392 | 50.0% | 28.6% | |
| 68.18% | 22 | 3.4 | 964 | 14,101 | 62.5% | 71.4% | |
| 50.00% | 22 | 6.4 | 832 | 11,934 | 53.3% | 42.9% | |
| 61.90% | 21 | 5.7 | 1,004 | 13,388 | 50.0% | 69.2% | |
| 57.89% | 19 | 5.6 | 878 | 12,373 | 50.0% | 71.4% | |
| 52.63% | 19 | 4.9 | 786 | 11,318 | 71.4% | 41.7% | |
| 57.89% | 19 | 1.5 | 751 | 13,947 | 66.7% | 53.9% | |
| 44.44% | 18 | 5.0 | 752 | 12,214 | 50.0% | 40.0% | |
| 58.82% | 17 | 4.5 | 1,012 | 15,391 | 20.0% | 75.0% | |
| 41.18% | 17 | 3.8 | 809 | 12,554 | 37.5% | 44.4% | |
| 62.50% | 16 | 1.8 | 861 | 12,717 | 72.7% | 40.0% | |
| 73.33% | 15 | 6.0 | 800 | 11,945 | 62.5% | 85.7% | |
| 73.33% | 15 | 4.1 | 805 | 12,681 | 87.5% | 57.1% | |
| 64.29% | 14 | 1.1 | 622 | 13,902 | 60.0% | 66.7% | |
| 71.43% | 14 | 5.8 | 1,025 | 12,114 | 66.7% | 75.0% | |
| 69.23% | 13 | 1.5 | 770 | 14,252 | 80.0% | 62.5% | |
| 38.46% | 13 | 4.6 | 643 | 11,984 | 50.0% | 33.3% | |
| 58.33% | 12 | 1.7 | 769 | 14,040 | 50.0% | 62.5% | |
| 41.67% | 12 | 5.8 | 717 | 10,807 | 66.7% | 16.7% | |
| 45.45% | 11 | 5.7 | 900 | 11,980 | 66.7% | 37.5% | |
| 45.45% | 11 | 5.8 | 874 | 12,629 | 25.0% | 57.1% | |
| 45.45% | 11 | 1.9 | 776 | 12,110 | 20.0% | 66.7% | |
| 40.00% | 10 | 3.8 | 1,193 | 14,993 | 50.0% | 37.5% | |
| 40.00% | 10 | 5.8 | 727 | 10,683 | 37.5% | 50.0% | |
| 40.00% | 10 | 2.4 | 865 | 15,486 | 66.7% | 28.6% | |
| 70.00% | 10 | 5.6 | 799 | 8,271 | 50.0% | 100.0% | |
| 70.00% | 10 | 3.8 | 787 | 13,503 | 83.3% | 50.0% | |
| 33.33% | 9 | 4.8 | 676 | 11,159 | 60.0% | 0.0% | |
| 75.00% | 8 | 2.2 | 878 | 14,336 | 100.0% | 66.7% | |
| 25.00% | 8 | 5.4 | 841 | 11,517 | 20.0% | 33.3% | |
| 50.00% | 8 | 2.5 | 758 | 14,605 | 66.7% | 40.0% | |
| 50.00% | 8 | 4.0 | 832 | 13,050 | 60.0% | 33.3% | |
| 57.14% | 7 | 2.1 | 810 | 13,509 | 75.0% | 33.3% | |
| 57.14% | 7 | 4.2 | 1,024 | 16,353 | 66.7% | 50.0% | |
| 33.33% | 6 | 5.5 | 657 | 9,511 | 25.0% | 50.0% | |
| 33.33% | 6 | 6.4 | 806 | 12,556 | 66.7% | 0.0% | |
| 50.00% | 6 | 5.4 | 699 | 11,682 | 0.0% | 75.0% | |
| 50.00% | 6 | 5.0 | 982 | 15,657 | 100.0% | 40.0% | |
| 50.00% | 6 | 5.1 | 1,140 | 14,696 | 33.3% | 66.7% | |
| 60.00% | 5 | 2.0 | 917 | 15,885 | 100.0% | 33.3% | |
| 100.00% | 5 | 4.1 | 938 | 13,833 | 100.0% | 100.0% | |
| 80.00% | 5 | 6.2 | 790 | 9,800 | 75.0% | 100.0% | |
| 0.00% | 5 | 2.1 | 770 | 14,133 | 0.0% | 0.0% | |
| 60.00% | 5 | 4.6 | 814 | 10,875 | 33.3% | 100.0% | |
| 40.00% | 5 | 4.7 | 964 | 15,193 | 0.0% | 50.0% | |
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Master Yi vs Kayn - Frequently Asked Questions
How does Master Yi do against Kayn in League of Legends?
Master Yi wins the Master Yi vs Kayn matchup with a 54.1% win rate compared to Kayn's 45.9%, a 8.2 percentage point difference. This data is based on 244 recent ranked games in patch 26.3.
How does Master Yi do against Kayn in the early game?
In the early game, Master Yi has the advantage against Kayn with a 58.1% win rate versus 41.9%. Master Yi players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Master Yi do against Kayn in the late game?
In the late game, Master Yi takes over the Master Yi vs Kayn matchup with a 51.1% win rate compared to 48.9%. Master Yi scales better into team fights and objective contests after 25 minutes.
Who wins the Master Yi vs Kayn matchup?
Master Yi wins the matchup against Kayn with a 54.1% win rate in League of Legends patch 26.3. The 8.2 percentage point advantage means Master Yi is significantly favored in this lane matchup based on 244 games analyzed.
What is the best Master Yi build against Kayn?
The best Master Yi build against Kayn includes Kraken Slayer, Death's Dance, Guinsoo's Rageblade with Slightly Magical Footwear. This build achieves a 86.7% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Master Yi runes against Kayn?
The best Master Yi runes against Kayn use the Precision primary tree with Inspiration secondary. This rune setup achieves a 73.3% win rate in the Master Yi vs Kayn matchup. See the full rune breakdown in the matchup comparison above.
Does Master Yi counter Kayn?
Yes, Master Yi has a favorable matchup against Kayn with a 54.1% win rate. Master Yi strongly counters Kayn in lane based on current patch 26.3 data.
How do I play Master Yi against Kayn?
When playing Master Yi against Kayn, 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.