
Master Yivs Olaf
Master Yi vs Olaf is a decisive matchup in LoL patch 26.4. Olaf wins with a 66.7% win rate (+33.3%) over Master Yi based on 25 games. Olaf 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 Olaf 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.
Who Wins the Master Yi vs Olaf Matchup?

Master Yi vs Olaf Matchup Summary
The Master Yi vs Olaf matchup is a decisive matchup in League of Legends ranked play. Based on 25 recent matches analyzed, Olaf wins with a 66.7% win rate compared to Master Yi's 33.3%, giving Olaf a 33.3 percentage point advantage. Olaf dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Master Yi 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 Olaf leads by 0.3s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Olaf has a strong advantage in this matchup. Master Yi players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Olaf 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.
Master Yi vs Olaf Laning Phase Breakdown
Olaf is favored during the laning phase against Master Yi, winning 4 out of 5 key stat categories. Olaf holds advantages in farming, gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Master Yi Build Against Olaf
Berserker's Greaves is the optimal boots choice against Olaf, providing the mobility and stats Master Yi needs most in this matchup. The top-performing core items for Master Yi against Olaf are Kraken Slayer, Death's Dance and Blade of The Ruined King. This combination gives Master Yi an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 66.7% win rate across 3 games — well above average and making it the top item path against Olaf. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Master Yi vs Olaf matchup.
Early Game vs Late Game
Olaf dominates the early game (first 15 minutes) with a commanding 62.5% win rate — a 25.0 percentage point lead over Master Yi. This lopsided early game means Olaf can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Olaf is far superior in the late game (25+ minutes), boasting a 75.0% win rate — 50.0 points above Master Yi. Extended games heavily favor Olaf, whose kit and scaling make them a dominant force in team fights and objective control.
Olaf holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Master Yi players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Master Yi Runes Against Olaf
The Precision and Inspiration rune setup gives Master Yi the best tools to compete against Olaf in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Master Yi matchup data for League of Legends patch 26.4. 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 |
|---|---|---|---|---|---|---|---|
| 50.09% | 553 | 1.2 | 778 | 13,557 | 53.6% | 46.6% | |
| 51.73% | 348 | 1.3 | 856 | 13,638 | 46.9% | 56.8% | |
| 53.69% | 339 | 1.2 | 815 | 13,833 | 50.4% | 56.1% | |
| 44.41% | 305 | 1.9 | 743 | 13,258 | 43.7% | 45.1% | |
| 50.51% | 300 | 1.4 | 782 | 12,980 | 47.9% | 52.9% | |
| 47.95% | 293 | 1.3 | 769 | 13,259 | 44.8% | 50.3% | |
| 42.96% | 291 | 1.3 | 729 | 13,303 | 45.0% | 41.5% | |
| 49.02% | 258 | 1.2 | 747 | 13,303 | 56.1% | 43.9% | |
| 56.52% | 254 | 1.3 | 714 | 13,297 | 52.5% | 60.3% | |
| 45.45% | 253 | 1.2 | 710 | 12,746 | 45.6% | 45.3% | |
| 50.86% | 234 | 2.0 | 954 | 13,171 | 55.3% | 46.6% | |
| 39.32% | 207 | 1.3 | 734 | 14,221 | 32.4% | 43.0% | |
| 55.34% | 207 | 2.1 | 815 | 12,573 | 59.0% | 50.6% | |
| 51.96% | 205 | 1.3 | 792 | 13,195 | 49.0% | 54.7% | |
| 55.67% | 204 | 1.2 | 797 | 13,524 | 57.1% | 54.3% | |
| 56.92% | 195 | 1.2 | 829 | 14,069 | 53.0% | 59.8% | |
| 53.61% | 195 | 1.3 | 855 | 14,857 | 55.1% | 52.6% | |
| 56.45% | 189 | 1.4 | 765 | 13,618 | 52.2% | 60.6% | |
| 54.55% | 177 | 1.3 | 827 | 13,789 | 48.2% | 60.4% | |
| 53.25% | 154 | 1.2 | 756 | 13,748 | 50.7% | 55.7% | |
| 55.19% | 154 | 1.3 | 800 | 14,181 | 52.7% | 57.5% | |
| 58.55% | 153 | 1.2 | 831 | 13,724 | 62.7% | 55.3% | |
| 48.65% | 150 | 2.8 | 769 | 13,128 | 49.2% | 48.2% | |
| 54.35% | 139 | 1.3 | 747 | 13,602 | 46.5% | 60.0% | |
| 48.15% | 137 | 2.5 | 791 | 14,536 | 44.2% | 50.6% | |
| 54.20% | 131 | 1.2 | 828 | 13,911 | 54.4% | 54.0% | |
| 56.92% | 131 | 1.1 | 818 | 13,875 | 47.2% | 63.6% | |
| 57.38% | 124 | 1.5 | 768 | 13,161 | 55.9% | 58.7% | |
| 48.25% | 114 | 1.8 | 817 | 14,127 | 46.8% | 49.3% | |
| 51.85% | 110 | 3.3 | 853 | 12,858 | 54.4% | 50.0% | |
| 50.00% | 109 | 1.1 | 838 | 13,527 | 40.4% | 60.8% | |
| 43.52% | 108 | 1.2 | 716 | 13,313 | 46.1% | 41.1% | |
| 41.00% | 101 | 3.7 | 844 | 12,656 | 39.5% | 42.1% | |
| 54.55% | 100 | 1.6 | 837 | 13,052 | 51.0% | 58.3% | |
| 52.58% | 97 | 1.4 | 784 | 13,859 | 53.1% | 52.1% | |
| 53.61% | 97 | 2.2 | 888 | 13,531 | 51.2% | 55.6% | |
| 61.46% | 96 | 2.3 | 878 | 13,626 | 67.3% | 54.5% | |
| 51.61% | 95 | 1.4 | 798 | 13,661 | 45.2% | 56.9% | |
| 48.42% | 95 | 1.8 | 835 | 14,240 | 54.8% | 43.4% | |
| 57.61% | 93 | 1.7 | 829 | 14,561 | 58.3% | 57.1% | |
| 37.08% | 90 | 2.6 | 718 | 12,696 | 38.1% | 36.2% | |
| 48.86% | 88 | 1.3 | 861 | 13,108 | 48.7% | 49.0% | |
| 51.32% | 77 | 1.6 | 822 | 12,880 | 51.1% | 51.6% | |
| 57.14% | 77 | 1.5 | 812 | 13,736 | 47.1% | 65.1% | |
| 56.76% | 74 | 1.5 | 833 | 13,189 | 56.4% | 57.1% | |
| 49.30% | 72 | 2.5 | 746 | 12,956 | 44.4% | 54.3% | |
| 43.66% | 71 | 1.1 | 705 | 12,702 | 38.9% | 48.6% | |
| 71.43% | 70 | 1.5 | 875 | 13,737 | 48.5% | 91.9% | |
| 37.14% | 70 | 3.2 | 861 | 13,117 | 21.9% | 50.0% | |
| 45.31% | 65 | 5.5 | 907 | 13,111 | 17.6% | 55.3% | |
| 33.87% | 62 | 2.8 | 716 | 12,081 | 35.3% | 32.1% | |
| 56.67% | 60 | 4.8 | 896 | 13,465 | 47.8% | 62.2% | |
| 43.64% | 55 | 1.2 | 741 | 13,927 | 32.0% | 53.3% | |
| 59.26% | 54 | 1.2 | 781 | 14,473 | 48.0% | 69.0% | |
| 43.14% | 51 | 5.0 | 768 | 11,902 | 27.3% | 55.2% | |
| 50.00% | 47 | 1.3 | 762 | 14,560 | 41.2% | 55.2% | |
| 54.35% | 46 | 5.7 | 974 | 13,787 | 42.9% | 64.0% | |
| 66.67% | 45 | 2.4 | 812 | 13,433 | 72.2% | 63.0% | |
| 62.22% | 45 | 6.1 | 847 | 12,843 | 50.0% | 70.4% | |
| 48.89% | 45 | 3.8 | 923 | 12,670 | 55.0% | 44.0% | |
| 53.49% | 43 | 1.9 | 886 | 14,653 | 46.1% | 56.7% | |
| 51.28% | 39 | 4.0 | 966 | 13,470 | 62.5% | 43.5% | |
| 46.15% | 39 | 1.2 | 748 | 12,573 | 52.6% | 40.0% | |
| 56.41% | 39 | 2.0 | 799 | 14,122 | 50.0% | 61.9% | |
| 47.37% | 39 | 6.0 | 927 | 13,250 | 55.6% | 40.0% | |
| 68.42% | 38 | 1.9 | 844 | 14,452 | 71.4% | 66.7% | |
| 45.95% | 37 | 5.6 | 852 | 13,847 | 44.4% | 46.4% | |
| 34.29% | 36 | 5.1 | 724 | 11,304 | 16.7% | 43.5% | |
| 38.89% | 36 | 5.6 | 825 | 11,401 | 50.0% | 25.0% | |
| 45.45% | 33 | 4.5 | 809 | 12,617 | 44.4% | 46.7% | |
| 38.71% | 31 | 6.1 | 1,005 | 13,743 | 53.3% | 25.0% | |
| 55.17% | 29 | 1.4 | 728 | 13,184 | 60.0% | 50.0% | |
| 53.85% | 28 | 6.0 | 918 | 13,443 | 60.0% | 45.5% | |
| 50.00% | 28 | 3.1 | 748 | 13,527 | 33.3% | 62.5% | |
| 33.33% | 25 | 4.2 | 861 | 11,865 | 37.5% | 25.0% | |
| 60.00% | 25 | 1.3 | 680 | 13,636 | 50.0% | 66.7% | |
| 50.00% | 24 | 1.2 | 783 | 11,552 | 50.0% | 50.0% | |
| 34.78% | 24 | 1.8 | 702 | 12,714 | 57.1% | 25.0% | |
| 60.87% | 23 | 2.9 | 725 | 13,250 | 50.0% | 66.7% | |
| 40.91% | 22 | 5.7 | 811 | 12,331 | 50.0% | 35.7% | |
| 45.45% | 22 | 6.0 | 906 | 12,033 | 41.7% | 50.0% | |
| 47.62% | 21 | 5.3 | 1,084 | 13,563 | 28.6% | 57.1% | |
| 66.67% | 21 | 4.5 | 894 | 13,738 | 75.0% | 61.5% | |
| 50.00% | 20 | 6.6 | 947 | 12,546 | 54.5% | 44.4% | |
| 42.11% | 19 | 6.1 | 1,004 | 12,126 | 40.0% | 44.4% | |
| 63.16% | 19 | 6.6 | 844 | 13,385 | 55.6% | 70.0% | |
| 72.22% | 18 | 2.4 | 885 | 14,214 | 71.4% | 72.7% | |
| 38.89% | 18 | 5.3 | 721 | 10,472 | 42.9% | 36.4% | |
| 37.50% | 16 | 4.6 | 817 | 13,240 | 50.0% | 25.0% | |
| 33.33% | 15 | 1.3 | 555 | 12,623 | 12.5% | 57.1% | |
| 50.00% | 14 | 4.8 | 836 | 12,326 | 57.1% | 42.9% | |
| 53.85% | 13 | 4.1 | 912 | 13,120 | 57.1% | 50.0% | |
| 69.23% | 13 | 6.1 | 893 | 12,981 | 75.0% | 60.0% | |
| 53.85% | 13 | 6.0 | 761 | 11,196 | 66.7% | 25.0% | |
| 30.77% | 13 | 5.5 | 680 | 12,321 | 33.3% | 28.6% | |
| 46.15% | 13 | 5.7 | 938 | 15,228 | 25.0% | 55.6% | |
| 61.54% | 13 | 5.8 | 736 | 12,490 | 60.0% | 62.5% | |
| 46.15% | 13 | 5.5 | 1,014 | 12,043 | 50.0% | 42.9% | |
| 58.33% | 12 | 3.3 | 722 | 12,804 | 71.4% | 40.0% | |
| 50.00% | 12 | 2.0 | 703 | 12,261 | 71.4% | 20.0% | |
| 58.33% | 12 | 4.7 | 803 | 12,157 | 60.0% | 57.1% | |
| 54.55% | 11 | 3.6 | 950 | 13,242 | 66.7% | 50.0% | |
| 45.45% | 11 | 5.5 | 917 | 12,996 | 50.0% | 44.4% | |
| 63.64% | 11 | 5.6 | 915 | 13,635 | 60.0% | 66.7% | |
| 45.45% | 11 | 3.8 | 696 | 11,986 | 50.0% | 42.9% | |
| 54.55% | 11 | 4.9 | 1,169 | 15,138 | 50.0% | 60.0% | |
| 77.78% | 10 | 4.8 | 769 | 11,420 | 85.7% | 50.0% | |
| 50.00% | 10 | 4.8 | 680 | 12,587 | 50.0% | 50.0% | |
| 44.44% | 9 | 6.3 | 968 | 12,141 | 66.7% | 33.3% | |
| 77.78% | 9 | 6.0 | 892 | 15,863 | 50.0% | 85.7% | |
| 37.50% | 9 | 4.4 | 1,012 | 11,304 | 40.0% | 33.3% | |
| 37.50% | 8 | 4.5 | 800 | 9,980 | 40.0% | 33.3% | |
| 62.50% | 8 | 4.3 | 719 | 10,665 | 50.0% | 100.0% | |
| 75.00% | 8 | 4.4 | 1,140 | 16,457 | 50.0% | 83.3% | |
| 71.43% | 7 | 5.3 | 1,193 | 17,075 | 0.0% | 83.3% | |
| 57.14% | 7 | 2.2 | 781 | 14,038 | 50.0% | 60.0% | |
| 85.71% | 7 | 5.4 | 994 | 14,259 | 100.0% | 66.7% | |
| 57.14% | 7 | 5.5 | 757 | 11,575 | 50.0% | 66.7% | |
| 71.43% | 7 | 5.0 | 1,293 | 17,004 | 50.0% | 80.0% | |
| 57.14% | 7 | 3.9 | 792 | 13,168 | 66.7% | 50.0% | |
| 0.00% | 6 | 5.4 | 1,238 | 16,490 | 0.0% | 0.0% | |
| 33.33% | 6 | 6.1 | 1,048 | 14,235 | 50.0% | 0.0% | |
| 83.33% | 6 | 1.9 | 777 | 11,627 | 100.0% | 50.0% | |
| 0.00% | 6 | 4.5 | 905 | 17,197 | 0.0% | 0.0% | |
| 100.00% | 5 | 2.2 | 574 | 10,864 | 100.0% | 100.0% | |
| 40.00% | 5 | 3.0 | 767 | 13,772 | 50.0% | 33.3% | |
| 40.00% | 5 | 2.6 | 1,110 | 15,052 | 50.0% | 33.3% | |
| 80.00% | 5 | 5.6 | 1,107 | 15,894 | 100.0% | 50.0% | |
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Master Yi vs Olaf - Frequently Asked Questions
How does Master Yi do against Olaf in League of Legends?
Olaf wins the Master Yi vs Olaf matchup with a 66.7% win rate compared to Master Yi's 33.3%, a 33.3 percentage point difference. This data is based on 25 recent ranked games in patch 26.4.
How does Master Yi do against Olaf in the early game?
In the early game, Olaf has the advantage against Master Yi with a 62.5% win rate versus 37.5%. Olaf 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 Olaf in the late game?
In the late game, Olaf takes over the Master Yi vs Olaf matchup with a 75.0% win rate compared to 25.0%. Olaf scales better into team fights and objective contests after 25 minutes.
Who wins the Master Yi vs Olaf matchup?
Olaf wins the matchup against Master Yi with a 66.7% win rate in League of Legends patch 26.4. The 33.3 percentage point advantage means Olaf is significantly favored in this lane matchup based on 25 games analyzed.
What is the best Master Yi build against Olaf?
The best Master Yi build against Olaf includes Kraken Slayer, Death's Dance, Blade of The Ruined King with Berserker's Greaves. This build achieves a 66.7% 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 Olaf?
The best Master Yi runes against Olaf use the Precision primary tree with Inspiration secondary. This rune setup achieves a 100.0% win rate in the Master Yi vs Olaf matchup. See the full rune breakdown in the matchup comparison above.
Does Master Yi counter Olaf?
No, Master Yi struggles against Olaf with only a 33.3% win rate. Olaf has the advantage in this matchup. Master Yi players should focus on safe farming and avoiding extended trades to minimize Olaf's lead.
How do I play Master Yi against Olaf?
When playing Master Yi against Olaf, play cautiously and avoid Olaf's power spikes. Look for jungle assistance and team-dependent plays since Olaf has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.