Sionvs Olaf
Sion vs Olaf is a decisive matchup in LoL patch 26.10. Olaf wins with a 56.4% win rate (+12.7%) over Sion based on 55 games. Sion wins the early laning phase while Olaf scales better into the late game. Below you'll find the best Sion build, runes, laning stats, and strategies for the Sion vs Olaf matchup.
Sion Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Sion 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.
Olaf(43.6%)Who Wins the Sion vs Olaf Matchup?
Sion vs Olaf Matchup Summary
The Sion vs Olaf matchup is a decisive matchup in League of Legends ranked play. Based on 55 recent matches analyzed, Olaf wins with a 56.4% win rate compared to Sion's 43.6%, giving Olaf a 12.7 percentage point advantage. Game phase dynamics play a critical role here: Sion controls the early laning stage, but Olaf outscales as the game goes longer. The matchup shifts dramatically depending on game length — Sion 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 Sion leads by 0.9s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Olaf has a strong advantage in this matchup. Sion 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.
Sion vs Olaf Laning Phase Breakdown
Sion is favored during the laning phase against Olaf, winning 3 out of 5 key stat categories. Sion holds advantages in farming, crowd control and sustain, making them the stronger laner in this matchup.
Best Sion Build Against Olaf
Mercury's Treads is the optimal boots choice against Olaf, providing the mobility and stats Sion needs most in this matchup. The top-performing core items for Sion against Olaf are Hollow Radiance, Frozen Heart and Thornmail. This combination gives Sion an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 100.0% win rate across 2 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 Sion vs Olaf matchup.
Early Game vs Late Game
Sion50.0%Olaf50.0%Sion38.7%Olaf61.3%The early game (first 15 minutes) is a toss-up between Sion and Olaf, with Sion holding a razor-thin 50.0% win rate edge (+0.0%). Individual skill and jungle proximity will matter more than champion advantage in the early laning phase.
Olaf is far superior in the late game (25+ minutes), boasting a 61.3% win rate — 22.6 points above Sion. Extended games heavily favor Olaf, whose kit and scaling make them a dominant force in team fights and objective control.
The power dynamics shift as the game progresses — Sion has the edge early, but Olaf 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 Sion Runes Against Olaf
Resolve
Precision
The Resolve and Precision rune setup gives Sion the best tools to compete against Olaf in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Sion matchup data for League of Legends patch 26.10. The table below shows Sion'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 Sion 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 |
|---|---|---|---|---|---|---|---|
| 51.44% | 313 | 7.0 | 714 | 12,243 | 59.4% | 46.0% | |
| 42.34% | 222 | 7.2 | 795 | 12,288 | 44.6% | 41.2% | |
| 47.83% | 184 | 6.5 | 788 | 11,337 | 44.7% | 50.0% | |
| 49.08% | 163 | 6.7 | 822 | 11,993 | 50.0% | 48.5% | |
| 48.75% | 160 | 7.0 | 759 | 12,574 | 47.0% | 50.0% | |
| 55.71% | 140 | 7.4 | 806 | 12,853 | 65.5% | 48.8% | |
| 48.53% | 136 | 7.0 | 920 | 12,575 | 58.5% | 42.2% | |
| 55.56% | 126 | 7.0 | 806 | 12,477 | 60.0% | 53.1% | |
| 50.42% | 119 | 7.4 | 826 | 12,054 | 42.3% | 56.7% | |
| 51.82% | 110 | 7.0 | 1,093 | 12,036 | 64.6% | 41.9% | |
| 54.29% | 105 | 6.9 | 976 | 12,666 | 54.8% | 54.0% | |
| 44.66% | 103 | 6.6 | 870 | 11,958 | 42.9% | 45.6% | |
| 44.44% | 99 | 7.3 | 886 | 12,570 | 50.0% | 41.0% | |
| 47.47% | 99 | 6.2 | 813 | 11,126 | 43.6% | 50.0% | |
| 59.79% | 97 | 6.9 | 804 | 12,322 | 70.5% | 50.9% | |
| 54.17% | 96 | 7.5 | 806 | 13,406 | 68.4% | 44.8% | |
| 43.48% | 92 | 6.9 | 795 | 11,604 | 48.8% | 38.8% | |
| 46.74% | 92 | 8.0 | 788 | 12,341 | 37.5% | 51.7% | |
| 54.02% | 87 | 6.8 | 864 | 12,439 | 50.0% | 56.6% | |
| 45.35% | 86 | 6.3 | 799 | 12,699 | 55.6% | 38.0% | |
| 55.42% | 83 | 6.8 | 866 | 12,701 | 60.6% | 52.0% | |
| 46.91% | 81 | 6.2 | 638 | 11,944 | 58.3% | 37.8% | |
| 54.32% | 81 | 7.1 | 918 | 12,596 | 62.1% | 50.0% | |
| 50.00% | 80 | 6.7 | 818 | 12,202 | 52.4% | 49.1% | |
| 46.15% | 78 | 7.1 | 787 | 12,068 | 65.8% | 24.3% | |
| 53.95% | 76 | 7.0 | 964 | 11,873 | 52.6% | 55.3% | |
| 52.78% | 72 | 7.0 | 773 | 12,180 | 63.0% | 46.7% | |
| 44.29% | 70 | 7.1 | 791 | 12,781 | 40.7% | 46.5% | |
| 60.29% | 68 | 7.0 | 835 | 11,481 | 70.3% | 48.4% | |
| 41.79% | 67 | 6.7 | 761 | 12,949 | 54.2% | 34.9% | |
| 58.46% | 65 | 6.9 | 766 | 11,536 | 50.0% | 65.7% | |
| 48.44% | 64 | 6.6 | 805 | 11,618 | 48.3% | 48.6% | |
| 42.86% | 63 | 6.1 | 998 | 11,127 | 42.9% | 42.9% | |
| 51.61% | 62 | 6.9 | 909 | 12,244 | 39.3% | 61.8% | |
| 35.09% | 57 | 5.7 | 929 | 12,277 | 29.2% | 39.4% | |
| 51.79% | 56 | 4.3 | 855 | 12,919 | 57.9% | 48.6% | |
| 43.64% | 55 | 6.8 | 863 | 12,057 | 50.0% | 38.7% | |
| 44.44% | 54 | 6.7 | 777 | 12,583 | 13.3% | 56.4% | |
| 46.15% | 52 | 6.9 | 808 | 13,048 | 52.9% | 42.9% | |
| 56.00% | 50 | 7.0 | 761 | 11,268 | 53.9% | 58.3% | |
| 59.18% | 49 | 7.0 | 827 | 12,579 | 61.1% | 58.1% | |
| 53.06% | 49 | 3.9 | 665 | 11,602 | 68.2% | 40.7% | |
| 41.67% | 48 | 6.6 | 794 | 11,772 | 44.0% | 39.1% | |
| 53.19% | 47 | 6.1 | 695 | 12,394 | 70.6% | 43.3% | |
| 53.19% | 47 | 6.3 | 844 | 13,368 | 65.0% | 44.4% | |
| 43.18% | 44 | 6.7 | 807 | 11,946 | 52.9% | 37.0% | |
| 65.91% | 44 | 7.2 | 831 | 12,160 | 77.3% | 54.5% | |
| 68.18% | 44 | 6.4 | 844 | 12,169 | 68.2% | 68.2% | |
| 53.49% | 43 | 4.6 | 733 | 11,839 | 56.3% | 51.9% | |
| 52.38% | 42 | 6.3 | 739 | 10,935 | 50.0% | 55.0% | |
| 71.43% | 42 | 7.3 | 959 | 12,186 | 75.0% | 66.7% | |
| 36.59% | 41 | 6.6 | 859 | 14,090 | 43.8% | 32.0% | |
| 58.97% | 39 | 7.1 | 890 | 12,234 | 53.3% | 62.5% | |
| 33.33% | 39 | 6.4 | 735 | 10,220 | 33.3% | 33.3% | |
| 57.89% | 38 | 7.0 | 644 | 10,963 | 68.0% | 38.5% | |
| 51.35% | 37 | 6.3 | 668 | 13,025 | 66.7% | 44.0% | |
| 61.11% | 36 | 4.7 | 741 | 11,959 | 50.0% | 68.2% | |
| 57.14% | 35 | 6.7 | 635 | 10,598 | 50.0% | 66.7% | |
| 42.42% | 33 | 7.1 | 849 | 13,758 | 44.4% | 41.7% | |
| 54.55% | 33 | 2.6 | 699 | 12,043 | 77.8% | 45.8% | |
| 51.61% | 31 | 4.1 | 828 | 13,448 | 50.0% | 52.4% | |
| 58.06% | 31 | 6.8 | 799 | 11,726 | 50.0% | 63.2% | |
| 51.72% | 29 | 5.2 | 728 | 12,872 | 44.4% | 55.0% | |
| 42.86% | 28 | 5.8 | 838 | 11,154 | 42.9% | 42.9% | |
| 53.57% | 28 | 6.7 | 686 | 11,703 | 66.7% | 47.4% | |
| 67.86% | 28 | 7.3 | 720 | 12,124 | 73.3% | 61.5% | |
| 55.56% | 27 | 6.5 | 753 | 12,386 | 77.8% | 44.4% | |
| 50.00% | 26 | 7.3 | 726 | 12,934 | 66.7% | 45.0% | |
| 46.15% | 26 | 3.6 | 723 | 10,895 | 50.0% | 42.9% | |
| 57.69% | 26 | 6.9 | 771 | 11,696 | 81.8% | 40.0% | |
| 60.00% | 25 | 2.3 | 737 | 10,580 | 50.0% | 66.7% | |
| 60.00% | 25 | 5.7 | 728 | 12,103 | 61.5% | 58.3% | |
| 68.00% | 25 | 4.9 | 948 | 11,644 | 75.0% | 64.7% | |
| 64.00% | 25 | 2.7 | 799 | 14,622 | 85.7% | 55.6% | |
| 58.33% | 24 | 5.8 | 795 | 12,831 | 60.0% | 57.1% | |
| 37.50% | 24 | 1.9 | 900 | 13,654 | 28.6% | 41.2% | |
| 50.00% | 24 | 4.1 | 675 | 10,544 | 50.0% | 50.0% | |
| 56.52% | 23 | 5.8 | 847 | 14,291 | 87.5% | 40.0% | |
| 43.48% | 23 | 6.4 | 906 | 11,491 | 46.1% | 40.0% | |
| 54.55% | 22 | 2.4 | 722 | 11,578 | 85.7% | 40.0% | |
| 63.64% | 22 | 3.3 | 752 | 11,599 | 69.2% | 55.6% | |
| 72.73% | 22 | 3.7 | 827 | 12,392 | 85.7% | 66.7% | |
| 50.00% | 22 | 3.6 | 645 | 10,569 | 75.0% | 35.7% | |
| 28.57% | 21 | 2.2 | 720 | 11,112 | 55.6% | 8.3% | |
| 60.00% | 20 | 7.8 | 799 | 12,610 | 55.6% | 63.6% | |
| 45.00% | 20 | 7.5 | 758 | 12,775 | 66.7% | 35.7% | |
| 52.63% | 19 | 6.6 | 614 | 10,231 | 44.4% | 60.0% | |
| 63.16% | 19 | 3.6 | 704 | 12,409 | 33.3% | 76.9% | |
| 42.11% | 19 | 2.5 | 694 | 9,603 | 55.6% | 30.0% | |
| 57.89% | 19 | 5.6 | 907 | 9,873 | 50.0% | 63.6% | |
| 38.89% | 18 | 7.6 | 664 | 12,161 | 62.5% | 20.0% | |
| 38.89% | 18 | 3.0 | 796 | 13,533 | 50.0% | 35.7% | |
| 55.56% | 18 | 6.9 | 822 | 12,485 | 83.3% | 41.7% | |
| 41.18% | 17 | 3.0 | 667 | 10,885 | 50.0% | 36.4% | |
| 52.94% | 17 | 5.4 | 748 | 12,320 | 33.3% | 63.6% | |
| 43.75% | 16 | 5.6 | 800 | 11,714 | 71.4% | 22.2% | |
| 50.00% | 16 | 1.9 | 694 | 10,391 | 45.5% | 60.0% | |
| 31.25% | 16 | 4.0 | 833 | 13,384 | 16.7% | 40.0% | |
| 33.33% | 15 | 3.1 | 834 | 10,902 | 28.6% | 37.5% | |
| 33.33% | 15 | 2.3 | 589 | 10,663 | 44.4% | 16.7% | |
| 46.67% | 15 | 6.5 | 904 | 14,945 | 75.0% | 36.4% | |
| 53.33% | 15 | 6.1 | 753 | 10,900 | 42.9% | 62.5% | |
| 42.86% | 14 | 5.1 | 810 | 11,857 | 42.9% | 42.9% | |
| 64.29% | 14 | 1.9 | 783 | 11,651 | 66.7% | 62.5% | |
| 42.86% | 14 | 6.5 | 788 | 11,247 | 60.0% | 33.3% | |
| 53.85% | 13 | 6.1 | 938 | 13,838 | 60.0% | 50.0% | |
| 46.15% | 13 | 2.6 | 794 | 13,011 | 20.0% | 62.5% | |
| 30.77% | 13 | 2.3 | 510 | 8,233 | 33.3% | 25.0% | |
| 38.46% | 13 | 6.2 | 866 | 12,159 | 16.7% | 57.1% | |
| 61.54% | 13 | 7.1 | 745 | 12,714 | 25.0% | 77.8% | |
| 53.85% | 13 | 3.3 | 767 | 13,100 | 66.7% | 42.9% | |
| 53.85% | 13 | 7.6 | 909 | 12,831 | 80.0% | 37.5% | |
| 53.85% | 13 | 4.9 | 670 | 12,506 | 60.0% | 50.0% | |
| 25.00% | 12 | 5.7 | 1,032 | 13,522 | 25.0% | 25.0% | |
| 75.00% | 12 | 1.7 | 743 | 11,784 | 57.1% | 100.0% | |
| 66.67% | 12 | 5.9 | 739 | 12,698 | 50.0% | 83.3% | |
| 72.73% | 11 | 4.2 | 651 | 13,229 | 66.7% | 75.0% | |
| 54.55% | 11 | 2.1 | 583 | 10,483 | 0.0% | 75.0% | |
| 60.00% | 10 | 1.9 | 607 | 10,772 | 75.0% | 50.0% | |
| 40.00% | 10 | 6.3 | 791 | 13,458 | 20.0% | 60.0% | |
| 50.00% | 10 | 2.4 | 782 | 11,750 | 50.0% | 50.0% | |
| 30.00% | 10 | 6.7 | 814 | 13,122 | 50.0% | 16.7% | |
| 40.00% | 10 | 6.5 | 744 | 10,273 | 33.3% | 50.0% | |
| 40.00% | 10 | 5.9 | 749 | 11,057 | 33.3% | 50.0% | |
| 44.44% | 9 | 6.6 | 790 | 11,720 | 50.0% | 33.3% | |
| 77.78% | 9 | 7.5 | 821 | 15,548 | 66.7% | 83.3% | |
| 77.78% | 9 | 2.4 | 855 | 12,786 | 100.0% | 71.4% | |
| 44.44% | 9 | 6.6 | 766 | 12,647 | 33.3% | 50.0% | |
| 66.67% | 9 | 6.0 | 655 | 12,883 | 25.0% | 100.0% | |
| 55.56% | 9 | 2.9 | 640 | 12,032 | 100.0% | 33.3% | |
| 55.56% | 9 | 1.1 | 643 | 12,752 | 66.7% | 50.0% | |
| 66.67% | 9 | 4.5 | 847 | 14,251 | 100.0% | 62.5% | |
| 37.50% | 8 | 7.4 | 744 | 10,743 | 40.0% | 33.3% | |
| 62.50% | 8 | 7.9 | 752 | 12,999 | 100.0% | 57.1% | |
| 50.00% | 8 | 5.8 | 805 | 9,778 | 75.0% | 25.0% | |
| 75.00% | 8 | 7.8 | 724 | 13,709 | 100.0% | 66.7% | |
| 71.43% | 7 | 5.7 | 823 | 12,883 | 66.7% | 75.0% | |
| 42.86% | 7 | 2.3 | 643 | 10,200 | 40.0% | 50.0% | |
| 42.86% | 7 | 5.2 | 605 | 10,015 | 40.0% | 50.0% | |
| 42.86% | 7 | 2.6 | 715 | 12,077 | 100.0% | 0.0% | |
| 57.14% | 7 | 7.5 | 760 | 10,083 | 80.0% | 0.0% | |
| 71.43% | 7 | 5.0 | 938 | 12,938 | 100.0% | 50.0% | |
| 71.43% | 7 | 2.0 | 649 | 11,159 | 75.0% | 66.7% | |
| 57.14% | 7 | 2.1 | 724 | 11,237 | 33.3% | 75.0% | |
| 66.67% | 6 | 5.2 | 692 | 13,947 | 100.0% | 50.0% | |
| 33.33% | 6 | 2.6 | 537 | 12,285 | 50.0% | 25.0% | |
| 50.00% | 6 | 2.3 | 637 | 9,973 | 75.0% | 0.0% | |
| 33.33% | 6 | 1.3 | 756 | 10,127 | 0.0% | 50.0% | |
| 80.00% | 5 | 2.2 | 601 | 13,515 | 100.0% | 0.0% | |
| 80.00% | 5 | 2.1 | 990 | 18,533 | 0.0% | 80.0% | |
| 100.00% | 5 | 3.1 | 702 | 11,814 | 100.0% | 100.0% | |
| 60.00% | 5 | 1.9 | 648 | 12,973 | 100.0% | 33.3% | |
| 60.00% | 5 | 5.6 | 654 | 8,733 | 75.0% | 0.0% | |
| 40.00% | 5 | 6.8 | 1,101 | 12,683 | 50.0% | 33.3% | |
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Sion vs Olaf - Frequently Asked Questions
How does Sion do against Olaf in League of Legends?
Olaf wins the Sion vs Olaf matchup with a 56.4% win rate compared to Sion's 43.6%, a 12.7 percentage point difference. This data is based on 55 recent ranked games in patch 26.10.
How does Sion do against Olaf in the early game?
In the early game, Sion has the advantage against Olaf with a 50.0% win rate versus 50.0%. Sion players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Sion do against Olaf in the late game?
In the late game, Olaf takes over the Sion vs Olaf matchup with a 61.3% win rate compared to 38.7%. Olaf scales better into team fights and objective contests after 25 minutes.
Who wins the Sion vs Olaf matchup?
Olaf wins the matchup against Sion with a 56.4% win rate in League of Legends patch 26.10. The 12.7 percentage point advantage means Olaf is significantly favored in this lane matchup based on 55 games analyzed.
What is the best Sion build against Olaf?
The best Sion build against Olaf includes Hollow Radiance, Frozen Heart, Thornmail with Mercury's Treads. This build achieves a 100.0% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Sion runes against Olaf?
The best Sion runes against Olaf use the Resolve primary tree with Precision secondary. This rune setup achieves a 50.0% win rate in the Sion vs Olaf matchup. See the full rune breakdown in the matchup comparison above.
Does Sion counter Olaf?
No, Sion struggles against Olaf with only a 43.6% win rate. Olaf has the advantage in this matchup. Sion players should focus on safe farming and avoiding extended trades to minimize Olaf's lead.
How do I play Sion against Olaf?
When playing Sion 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.