Yonevs Olaf
Yone vs Olaf is a moderate matchup in LoL patch 26.10. Olaf wins with a 51.9% win rate (+3.7%) over Yone based on 54 games. Yone wins the early laning phase while Olaf scales better into the late game. Below you'll find the best Yone build, runes, laning stats, and strategies for the Yone vs Olaf matchup.
Yone Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Yone 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 Yone vs Olaf Matchup?
Yone vs Olaf Matchup Summary
The Yone vs Olaf matchup is a moderate matchup in League of Legends ranked play. Based on 54 recent matches analyzed, Olaf wins with a 51.9% win rate compared to Yone's 48.1%, giving Olaf a 3.7 percentage point advantage. Game phase dynamics play a critical role here: Yone controls the early laning stage, but Olaf outscales as the game goes longer. The matchup shifts dramatically depending on game length — Yone needs to press advantages before Olaf reaches their power spikes, while Olaf should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Yone leads by 0.3s CC/min — a difference that heavily influences the outcome of trades and skirmishes. While Olaf is slightly favored, Yone can absolutely win this lane through smart trading patterns and wave management. Focus on playing around your cooldowns, conceding CS only when necessary, and capitalizing on Olaf's mistakes. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Yone vs Olaf Laning Phase Breakdown
Yone is favored during the laning phase against Olaf, winning 3 out of 5 key stat categories. Yone holds advantages in farming, damage and crowd control, making them the stronger laner in this matchup.
Best Yone Build Against Olaf
Berserker's Greaves is the optimal boots choice against Olaf, providing the mobility and stats Yone needs most in this matchup. The top-performing core items for Yone against Olaf are Immortal Shieldbow, Death's Dance and Blade of The Ruined King. This combination gives Yone an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 57.1% win rate across 7 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 Yone vs Olaf matchup.
Early Game vs Late Game
Yone52.4%
Olaf47.6%Yone45.5%Olaf54.5%During the early laning phase (first 15 minutes), Yone has a meaningful 52.4% win rate, outperforming Olaf by 4.8 percentage points. Yone players should look to press this advantage through aggressive trades, wave priority, and early jungle coordination.
Olaf is far superior in the late game (25+ minutes), boasting a 54.5% win rate — 9.1 points above Yone. Extended games heavily favor Olaf, whose kit and scaling make them a dominant force in team fights and objective control.
This matchup features a dramatic power shift: Yone must aggressively press their early advantage and close out the game before Olaf reaches their scaling breakpoints. If Olaf 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 Yone Runes Against Olaf
Precision
Resolve
The Precision and Resolve rune setup gives Yone the best tools to compete against Olaf in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Yone matchup data for League of Legends patch 26.10. The table below shows Yone'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 Yone 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 |
|---|---|---|---|---|---|---|---|
| 53.56% | 491 | 6.9 | 966 | 12,598 | 48.2% | 58.0% | |
| 49.41% | 340 | 6.8 | 881 | 11,742 | 51.9% | 47.2% | |
| 47.80% | 318 | 7.0 | 876 | 12,678 | 54.5% | 43.0% | |
| 49.08% | 271 | 6.4 | 911 | 11,894 | 45.5% | 52.0% | |
| 53.51% | 228 | 6.8 | 1,008 | 12,809 | 51.6% | 54.7% | |
| 50.66% | 227 | 7.0 | 964 | 11,971 | 47.1% | 53.7% | |
| 52.02% | 223 | 6.8 | 878 | 12,934 | 56.8% | 48.9% | |
| 43.44% | 221 | 6.8 | 865 | 12,302 | 45.0% | 42.3% | |
| 54.55% | 209 | 6.7 | 923 | 12,155 | 54.1% | 55.0% | |
| 53.23% | 201 | 7.3 | 1,003 | 11,628 | 50.0% | 56.8% | |
| 53.00% | 200 | 6.5 | 892 | 12,045 | 43.8% | 60.4% | |
| 41.62% | 197 | 6.6 | 848 | 12,213 | 36.9% | 45.1% | |
| 45.21% | 188 | 6.6 | 805 | 11,896 | 46.8% | 44.1% | |
| 53.07% | 179 | 7.2 | 1,282 | 13,654 | 58.5% | 50.0% | |
| 45.03% | 171 | 6.9 | 861 | 11,838 | 47.6% | 42.7% | |
| 44.05% | 168 | 6.7 | 922 | 11,429 | 43.8% | 44.4% | |
| 53.09% | 162 | 7.0 | 892 | 12,538 | 47.6% | 56.6% | |
| 47.53% | 162 | 6.8 | 993 | 11,764 | 57.5% | 39.3% | |
| 44.72% | 161 | 6.8 | 941 | 12,357 | 46.3% | 43.2% | |
| 49.69% | 161 | 6.5 | 851 | 11,431 | 48.1% | 51.3% | |
| 51.88% | 160 | 6.4 | 992 | 11,883 | 49.4% | 54.5% | |
| 51.61% | 155 | 6.8 | 1,097 | 12,457 | 51.8% | 51.4% | |
| 58.39% | 149 | 7.3 | 1,448 | 13,080 | 62.9% | 55.2% | |
| 56.55% | 145 | 6.4 | 856 | 12,268 | 51.5% | 60.8% | |
| 46.48% | 142 | 6.6 | 897 | 11,710 | 47.0% | 46.0% | |
| 52.21% | 136 | 6.8 | 972 | 12,182 | 55.9% | 49.4% | |
| 53.33% | 135 | 6.5 | 804 | 12,016 | 54.5% | 52.5% | |
| 51.13% | 133 | 7.0 | 1,028 | 12,503 | 72.5% | 37.8% | |
| 42.97% | 128 | 7.0 | 845 | 11,732 | 36.9% | 49.2% | |
| 39.50% | 119 | 6.5 | 844 | 11,784 | 37.9% | 41.5% | |
| 42.74% | 117 | 7.0 | 976 | 12,527 | 41.8% | 43.5% | |
| 51.75% | 114 | 6.3 | 958 | 11,074 | 45.5% | 57.6% | |
| 50.00% | 114 | 6.6 | 957 | 12,231 | 50.0% | 50.0% | |
| 49.56% | 113 | 7.3 | 986 | 13,639 | 54.0% | 47.4% | |
| 38.74% | 111 | 6.7 | 777 | 11,901 | 35.9% | 41.4% | |
| 45.05% | 111 | 7.3 | 911 | 12,867 | 44.2% | 45.6% | |
| 49.09% | 110 | 6.8 | 981 | 12,860 | 44.4% | 52.3% | |
| 51.82% | 110 | 6.7 | 944 | 11,886 | 42.9% | 59.0% | |
| 55.66% | 106 | 6.9 | 924 | 12,891 | 53.5% | 57.1% | |
| 46.67% | 105 | 7.1 | 1,073 | 12,965 | 59.5% | 38.1% | |
| 50.48% | 105 | 6.7 | 811 | 11,965 | 42.0% | 58.2% | |
| 61.54% | 104 | 6.8 | 1,050 | 12,433 | 60.4% | 62.8% | |
| 60.19% | 104 | 6.6 | 943 | 12,123 | 59.6% | 60.7% | |
| 56.86% | 102 | 7.0 | 902 | 12,351 | 48.9% | 63.2% | |
| 50.00% | 102 | 6.8 | 1,083 | 12,074 | 52.1% | 48.1% | |
| 55.43% | 92 | 6.8 | 1,177 | 12,982 | 43.2% | 63.6% | |
| 53.33% | 90 | 6.2 | 821 | 11,122 | 53.5% | 53.2% | |
| 56.82% | 88 | 6.9 | 1,046 | 12,987 | 58.6% | 55.9% | |
| 64.37% | 87 | 6.7 | 790 | 11,735 | 62.2% | 66.7% | |
| 48.24% | 85 | 6.2 | 765 | 12,057 | 48.5% | 48.1% | |
| 54.12% | 85 | 6.6 | 1,244 | 11,982 | 52.5% | 55.6% | |
| 44.71% | 85 | 6.3 | 789 | 11,645 | 39.4% | 48.1% | |
| 51.81% | 84 | 7.1 | 925 | 12,178 | 42.9% | 61.0% | |
| 37.35% | 83 | 6.8 | 861 | 12,207 | 31.8% | 43.6% | |
| 54.22% | 83 | 6.5 | 860 | 11,236 | 55.1% | 52.9% | |
| 56.10% | 82 | 6.9 | 918 | 12,400 | 56.1% | 56.1% | |
| 49.38% | 81 | 6.7 | 1,048 | 13,051 | 51.4% | 47.8% | |
| 48.75% | 80 | 7.1 | 811 | 12,168 | 31.6% | 64.3% | |
| 46.84% | 79 | 7.0 | 978 | 13,139 | 38.2% | 53.3% | |
| 51.32% | 76 | 7.1 | 1,047 | 12,170 | 53.3% | 48.4% | |
| 54.67% | 75 | 6.8 | 823 | 11,575 | 60.5% | 48.6% | |
| 54.17% | 72 | 6.3 | 841 | 11,586 | 48.3% | 58.1% | |
| 60.56% | 71 | 7.8 | 1,041 | 13,171 | 76.5% | 46.0% | |
| 40.58% | 69 | 6.7 | 938 | 13,026 | 51.9% | 33.3% | |
| 55.07% | 69 | 6.9 | 789 | 11,867 | 51.4% | 58.8% | |
| 50.00% | 64 | 7.0 | 1,042 | 11,771 | 54.3% | 44.8% | |
| 40.63% | 64 | 6.4 | 861 | 12,426 | 40.9% | 40.5% | |
| 50.00% | 60 | 6.7 | 942 | 11,221 | 50.0% | 50.0% | |
| 55.00% | 60 | 6.9 | 1,035 | 12,344 | 47.1% | 65.4% | |
| 47.37% | 57 | 6.3 | 867 | 12,145 | 26.1% | 61.8% | |
| 50.00% | 54 | 7.1 | 915 | 11,692 | 54.5% | 42.9% | |
| 48.15% | 54 | 6.8 | 1,001 | 12,694 | 52.4% | 45.5% | |
| 47.17% | 53 | 6.4 | 981 | 12,810 | 38.9% | 51.4% | |
| 45.10% | 51 | 6.7 | 861 | 12,092 | 31.8% | 55.2% | |
| 57.14% | 49 | 6.8 | 961 | 11,682 | 52.0% | 62.5% | |
| 45.83% | 48 | 7.2 | 949 | 12,941 | 55.6% | 40.0% | |
| 45.83% | 48 | 6.4 | 899 | 12,904 | 36.8% | 51.7% | |
| 48.94% | 47 | 7.0 | 925 | 12,121 | 33.3% | 58.6% | |
| 43.48% | 46 | 6.7 | 977 | 11,178 | 50.0% | 36.4% | |
| 44.44% | 45 | 7.3 | 961 | 11,871 | 46.1% | 42.1% | |
| 48.89% | 45 | 6.7 | 1,091 | 13,671 | 40.9% | 56.5% | |
| 51.11% | 45 | 7.5 | 1,017 | 12,588 | 68.2% | 34.8% | |
| 40.91% | 44 | 6.6 | 1,012 | 11,374 | 33.3% | 50.0% | |
| 52.38% | 42 | 6.3 | 1,001 | 12,512 | 42.1% | 60.9% | |
| 46.34% | 41 | 7.0 | 933 | 12,019 | 59.1% | 31.6% | |
| 53.66% | 41 | 7.0 | 964 | 12,763 | 46.7% | 57.7% | |
| 42.50% | 40 | 7.4 | 1,027 | 13,944 | 42.9% | 42.4% | |
| 45.00% | 40 | 6.4 | 876 | 12,858 | 42.9% | 46.1% | |
| 56.41% | 39 | 6.4 | 842 | 12,303 | 62.5% | 52.2% | |
| 58.97% | 39 | 6.7 | 987 | 12,629 | 50.0% | 65.2% | |
| 66.67% | 39 | 6.6 | 850 | 11,671 | 63.6% | 70.6% | |
| 46.88% | 32 | 6.0 | 1,011 | 11,069 | 58.3% | 40.0% | |
| 74.19% | 31 | 6.6 | 960 | 13,073 | 54.5% | 85.0% | |
| 40.74% | 27 | 6.8 | 1,004 | 12,948 | 33.3% | 44.4% | |
| 46.15% | 26 | 6.2 | 723 | 10,985 | 45.5% | 46.7% | |
| 46.15% | 26 | 6.2 | 798 | 11,937 | 50.0% | 41.7% | |
| 56.00% | 25 | 6.5 | 920 | 11,704 | 69.2% | 41.7% | |
| 52.38% | 21 | 5.9 | 976 | 12,611 | 33.3% | 66.7% | |
| 47.62% | 21 | 6.4 | 964 | 11,964 | 44.4% | 50.0% | |
| 45.00% | 20 | 6.2 | 993 | 12,108 | 55.6% | 36.4% | |
| 52.63% | 19 | 6.9 | 979 | 12,722 | 50.0% | 54.5% | |
| 66.67% | 18 | 6.1 | 820 | 11,174 | 54.5% | 85.7% | |
| 61.11% | 18 | 6.9 | 850 | 10,798 | 55.6% | 66.7% | |
| 47.06% | 17 | 6.9 | 997 | 14,029 | 50.0% | 45.5% | |
| 47.06% | 17 | 6.2 | 833 | 12,094 | 45.5% | 50.0% | |
| 50.00% | 16 | 6.1 | 1,153 | 12,484 | 42.9% | 55.6% | |
| 68.75% | 16 | 6.3 | 906 | 14,101 | 83.3% | 60.0% | |
| 46.67% | 15 | 5.9 | 791 | 10,991 | 100.0% | 11.1% | |
| 60.00% | 15 | 6.3 | 782 | 12,559 | 60.0% | 60.0% | |
| 46.67% | 15 | 4.7 | 906 | 12,013 | 33.3% | 55.6% | |
| 57.14% | 14 | 7.0 | 913 | 12,187 | 50.0% | 66.7% | |
| 50.00% | 14 | 5.9 | 933 | 13,196 | 66.7% | 37.5% | |
| 38.46% | 13 | 6.5 | 817 | 9,647 | 50.0% | 20.0% | |
| 53.85% | 13 | 6.4 | 901 | 12,526 | 60.0% | 50.0% | |
| 50.00% | 12 | 6.3 | 834 | 9,692 | 57.1% | 40.0% | |
| 75.00% | 12 | 6.0 | 1,020 | 14,181 | 75.0% | 75.0% | |
| 41.67% | 12 | 5.9 | 835 | 11,048 | 42.9% | 40.0% | |
| 91.67% | 12 | 7.5 | 1,262 | 14,016 | 100.0% | 87.5% | |
| 58.33% | 12 | 6.8 | 1,116 | 14,423 | 40.0% | 71.4% | |
| 63.64% | 11 | 6.7 | 1,248 | 12,434 | 57.1% | 75.0% | |
| 27.27% | 11 | 6.9 | 1,044 | 11,606 | 33.3% | 20.0% | |
| 72.73% | 11 | 7.4 | 1,076 | 12,925 | 75.0% | 66.7% | |
| 70.00% | 10 | 5.0 | 887 | 12,321 | 66.7% | 71.4% | |
| 50.00% | 10 | 6.0 | 723 | 10,866 | 33.3% | 57.1% | |
| 60.00% | 10 | 5.9 | 901 | 12,731 | 66.7% | 50.0% | |
| 55.56% | 9 | 6.8 | 966 | 13,446 | 50.0% | 60.0% | |
| 55.56% | 9 | 6.8 | 869 | 11,889 | 50.0% | 66.7% | |
| 87.50% | 8 | 6.5 | 1,002 | 11,322 | 83.3% | 100.0% | |
| 12.50% | 8 | 5.1 | 543 | 8,787 | 20.0% | 0.0% | |
| 50.00% | 8 | 6.4 | 804 | 11,944 | 50.0% | 50.0% | |
| 62.50% | 8 | 7.0 | 1,038 | 14,589 | 50.0% | 66.7% | |
| 50.00% | 8 | 6.0 | 1,057 | 14,222 | 100.0% | 0.0% | |
| 57.14% | 7 | 7.2 | 956 | 10,689 | 25.0% | 100.0% | |
| 57.14% | 7 | 6.9 | 1,403 | 15,502 | 50.0% | 60.0% | |
| 71.43% | 7 | 6.7 | 688 | 9,815 | 66.7% | 75.0% | |
| 57.14% | 7 | 6.2 | 596 | 11,411 | 50.0% | 60.0% | |
| 33.33% | 6 | 5.0 | 1,146 | 12,332 | 25.0% | 50.0% | |
| 33.33% | 6 | 5.8 | 721 | 8,453 | 40.0% | 0.0% | |
| 100.00% | 6 | 5.8 | 841 | 13,758 | 100.0% | 100.0% | |
| 50.00% | 6 | 2.5 | 747 | 11,418 | 0.0% | 75.0% | |
| 60.00% | 5 | 5.2 | 811 | 14,418 | 50.0% | 66.7% | |
| 20.00% | 5 | 4.1 | 722 | 12,017 | 0.0% | 25.0% | |
| 40.00% | 5 | 6.5 | 981 | 14,002 | 0.0% | 50.0% | |
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Yone vs Olaf - Frequently Asked Questions
How does Yone do against Olaf in League of Legends?
Olaf wins the Yone vs Olaf matchup with a 51.9% win rate compared to Yone's 48.1%, a 3.7 percentage point difference. This data is based on 54 recent ranked games in patch 26.10.
How does Yone do against Olaf in the early game?
In the early game, Yone has the advantage against Olaf with a 52.4% win rate versus 47.6%. Yone players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Yone do against Olaf in the late game?
In the late game, Olaf takes over the Yone vs Olaf matchup with a 54.5% win rate compared to 45.5%. Olaf scales better into team fights and objective contests after 25 minutes.
Who wins the Yone vs Olaf matchup?
Olaf wins the matchup against Yone with a 51.9% win rate in League of Legends patch 26.10. The 3.7 percentage point advantage means Olaf is moderately favored in this lane matchup based on 54 games analyzed.
What is the best Yone build against Olaf?
The best Yone build against Olaf includes Immortal Shieldbow, Death's Dance, Blade of The Ruined King with Berserker's Greaves. This build achieves a 57.1% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Yone runes against Olaf?
The best Yone runes against Olaf use the Precision primary tree with Resolve secondary. This rune setup achieves a 50.0% win rate in the Yone vs Olaf matchup. See the full rune breakdown in the matchup comparison above.
Does Yone counter Olaf?
No, Yone struggles against Olaf with only a 48.1% win rate. Olaf has the advantage in this matchup. Yone players should focus on safe farming and avoiding extended trades to minimize Olaf's lead.
How do I play Yone against Olaf?
When playing Yone 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.