Gwenvs Olaf
Gwen vs Olaf is a decisive matchup in LoL patch 26.14. Olaf wins with a 80.0% win rate (+60.0%) over Gwen based on 5 games. Olaf holds the advantage in both the early and late game. Below you'll find the best Gwen build, runes, laning stats, and strategies for the Gwen vs Olaf matchup.
Gwen Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Gwen 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 Gwen vs Olaf Matchup?
Gwen vs Olaf Matchup Summary
The Gwen vs Olaf matchup is a decisive matchup in League of Legends ranked play. Based on 5 recent matches analyzed, Olaf wins with a 80.0% win rate compared to Gwen's 20.0%, giving Olaf a 60.0 percentage point advantage. Olaf dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Gwen 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. Gwen 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.
Gwen vs Olaf Laning Phase Breakdown
Olaf is favored during the laning phase against Gwen, winning 4 out of 5 key stat categories. Olaf holds advantages in damage, gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Gwen Build Against Olaf
Sorcerer's Shoes is the optimal boots choice against Olaf, providing the mobility and stats Gwen needs most in this matchup. The top-performing core items for Gwen against Olaf are Shadowflame, Nashor's Tooth and Rabadon's Deathcap. This combination gives Gwen an effective balance of damage, survivability, and utility for the matchup. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Gwen vs Olaf matchup.
Early Game vs Late Game
Gwen0.0%
Olaf100.0%Gwen25.0%Olaf75.0%Olaf dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Gwen. 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 Gwen. 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. Gwen players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Gwen Runes Against Olaf
Precision
Resolve
The Precision and Resolve rune setup gives Gwen the best tools to compete against Olaf in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Gwen matchup data for League of Legends patch 26.14. The table below shows Gwen'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 Gwen 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 |
|---|---|---|---|---|---|---|---|
| 61.11% | 36 | 6.5 | 1,281 | 10,429 | 50.0% | 72.2% | |
| 46.67% | 30 | 6.1 | 961 | 12,148 | 44.4% | 47.6% | |
| 48.28% | 29 | 6.6 | 907 | 12,365 | 42.9% | 53.3% | |
| 50.00% | 26 | 6.0 | 829 | 10,860 | 38.5% | 61.5% | |
| 40.00% | 25 | 6.0 | 726 | 9,910 | 40.0% | 40.0% | |
| 45.83% | 24 | 4.6 | 792 | 12,344 | 27.3% | 61.5% | |
| 58.33% | 24 | 6.5 | 810 | 11,992 | 54.5% | 61.5% | |
| 56.52% | 23 | 6.2 | 934 | 14,072 | 42.9% | 62.5% | |
| 36.84% | 19 | 6.6 | 931 | 12,603 | 28.6% | 41.7% | |
| 47.37% | 19 | 5.6 | 941 | 10,886 | 66.7% | 30.0% | |
| 61.11% | 18 | 6.4 | 850 | 11,316 | 40.0% | 87.5% | |
| 22.22% | 18 | 7.0 | 1,050 | 15,008 | 50.0% | 8.3% | |
| 77.78% | 18 | 6.4 | 1,426 | 14,931 | 100.0% | 73.3% | |
| 58.82% | 17 | 6.2 | 1,142 | 12,605 | 50.0% | 63.6% | |
| 50.00% | 16 | 6.8 | 893 | 14,201 | 33.3% | 60.0% | |
| 25.00% | 16 | 3.9 | 752 | 9,847 | 33.3% | 14.3% | |
| 80.00% | 15 | 5.3 | 1,076 | 15,389 | 100.0% | 72.7% | |
| 26.67% | 15 | 5.8 | 776 | 11,602 | 40.0% | 20.0% | |
| 33.33% | 15 | 5.7 | 896 | 11,136 | 33.3% | 33.3% | |
| 26.67% | 15 | 5.1 | 653 | 11,667 | 40.0% | 20.0% | |
| 46.67% | 15 | 6.5 | 949 | 13,276 | 33.3% | 55.6% | |
| 40.00% | 15 | 6.4 | 834 | 13,434 | 25.0% | 45.5% | |
| 40.00% | 15 | 5.6 | 762 | 12,535 | 33.3% | 41.7% | |
| 71.43% | 14 | 1.7 | 883 | 14,605 | 50.0% | 80.0% | |
| 50.00% | 14 | 3.7 | 943 | 12,074 | 42.9% | 57.1% | |
| 28.57% | 14 | 5.7 | 796 | 11,104 | 40.0% | 22.2% | |
| 42.86% | 14 | 6.2 | 801 | 12,655 | 40.0% | 44.4% | |
| 64.29% | 14 | 6.4 | 782 | 10,877 | 40.0% | 77.8% | |
| 38.46% | 13 | 6.4 | 927 | 13,805 | 25.0% | 44.4% | |
| 41.67% | 12 | 6.2 | 932 | 11,566 | 60.0% | 28.6% | |
| 33.33% | 12 | 2.9 | 776 | 13,019 | 25.0% | 37.5% | |
| 66.67% | 12 | 4.0 | 607 | 8,052 | 80.0% | 0.0% | |
| 54.55% | 11 | 6.5 | 880 | 12,294 | 75.0% | 42.9% | |
| 72.73% | 11 | 6.3 | 981 | 13,489 | 100.0% | 66.7% | |
| 18.18% | 11 | 6.9 | 871 | 12,232 | 0.0% | 28.6% | |
| 63.64% | 11 | 1.7 | 682 | 11,665 | 60.0% | 66.7% | |
| 60.00% | 10 | 6.4 | 733 | 11,256 | 66.7% | 50.0% | |
| 40.00% | 10 | 6.8 | 1,025 | 16,965 | 25.0% | 50.0% | |
| 70.00% | 10 | 6.1 | 840 | 13,873 | 100.0% | 62.5% | |
| 30.00% | 10 | 5.5 | 779 | 10,714 | 33.3% | 25.0% | |
| 50.00% | 10 | 6.0 | 643 | 10,382 | 50.0% | 50.0% | |
| 44.44% | 9 | 6.1 | 1,097 | 12,283 | 0.0% | 50.0% | |
| 66.67% | 9 | 5.7 | 858 | 15,062 | 100.0% | 57.1% | |
| 22.22% | 9 | 5.6 | 699 | 14,319 | 100.0% | 12.5% | |
| 44.44% | 9 | 3.8 | 638 | 10,913 | 60.0% | 25.0% | |
| 55.56% | 9 | 6.9 | 716 | 9,522 | 66.7% | 33.3% | |
| 55.56% | 9 | 6.3 | 698 | 8,069 | 50.0% | 66.7% | |
| 55.56% | 9 | 7.3 | 952 | 14,304 | 50.0% | 60.0% | |
| 44.44% | 9 | 7.0 | 1,020 | 12,478 | 60.0% | 25.0% | |
| 50.00% | 8 | 7.4 | 1,103 | 16,661 | 33.3% | 60.0% | |
| 37.50% | 8 | 6.3 | 762 | 12,314 | 100.0% | 28.6% | |
| 37.50% | 8 | 6.7 | 750 | 12,933 | 33.3% | 40.0% | |
| 50.00% | 8 | 6.9 | 965 | 14,060 | 25.0% | 75.0% | |
| 62.50% | 8 | 6.0 | 934 | 11,462 | 66.7% | 60.0% | |
| 75.00% | 8 | 6.9 | 898 | 13,450 | 75.0% | 75.0% | |
| 28.57% | 7 | 1.1 | 884 | 14,771 | 50.0% | 20.0% | |
| 57.14% | 7 | 6.8 | 765 | 12,077 | 66.7% | 50.0% | |
| 28.57% | 7 | 6.3 | 942 | 12,860 | 50.0% | 20.0% | |
| 42.86% | 7 | 6.8 | 1,168 | 12,647 | 33.3% | 50.0% | |
| 42.86% | 7 | 6.6 | 859 | 16,667 | 0.0% | 50.0% | |
| 42.86% | 7 | 1.3 | 601 | 13,362 | 50.0% | 40.0% | |
| 50.00% | 6 | 5.9 | 1,004 | 15,902 | 50.0% | 50.0% | |
| 50.00% | 6 | 5.5 | 717 | 8,766 | 0.0% | 100.0% | |
| 33.33% | 6 | 1.0 | 868 | 8,991 | 20.0% | 100.0% | |
| 66.67% | 6 | 6.4 | 734 | 10,722 | 50.0% | 75.0% | |
| 50.00% | 6 | 5.5 | 1,006 | 12,818 | 100.0% | 40.0% | |
| 16.67% | 6 | 2.3 | 682 | 14,150 | 100.0% | 0.0% | |
| 66.67% | 6 | 7.3 | 957 | 14,682 | 50.0% | 75.0% | |
| 50.00% | 6 | 4.4 | 631 | 9,483 | 33.3% | 66.7% | |
| 50.00% | 6 | 7.5 | 926 | 11,218 | 33.3% | 66.7% | |
| 50.00% | 6 | 1.3 | 701 | 12,866 | 50.0% | 50.0% | |
| 50.00% | 6 | 6.3 | 1,090 | 9,213 | 0.0% | 100.0% | |
| 66.67% | 6 | 6.8 | 658 | 9,471 | 66.7% | 66.7% | |
| 83.33% | 6 | 5.1 | 857 | 12,356 | 0.0% | 100.0% | |
| 20.00% | 5 | 7.5 | 950 | 14,126 | 0.0% | 25.0% | |
| 40.00% | 5 | 0.9 | 937 | 15,769 | 0.0% | 50.0% | |
| 40.00% | 5 | 6.5 | 1,047 | 9,310 | 33.3% | 50.0% | |
| 40.00% | 5 | 7.0 | 818 | 13,111 | 50.0% | 33.3% | |
| 40.00% | 5 | 2.2 | 959 | 14,934 | 100.0% | 25.0% | |
| 80.00% | 5 | 3.5 | 711 | 13,143 | 50.0% | 100.0% | |
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Gwen vs Olaf - Frequently Asked Questions
How does Gwen do against Olaf in League of Legends?
Olaf wins the Gwen vs Olaf matchup with a 80.0% win rate compared to Gwen's 20.0%, a 60.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.14.
How does Gwen do against Olaf in the early game?
In the early game, Olaf has the advantage against Gwen with a 100.0% win rate versus 0.0%. Olaf players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Gwen do against Olaf in the late game?
In the late game, Olaf takes over the Gwen 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 Gwen vs Olaf matchup?
Olaf wins the matchup against Gwen with a 80.0% win rate in League of Legends patch 26.14. The 60.0 percentage point advantage means Olaf is significantly favored in this lane matchup based on 5 games analyzed.
What is the best Gwen build against Olaf?
The best Gwen build against Olaf includes Shadowflame, Nashor's Tooth, Rabadon's Deathcap with Sorcerer's Shoes. Check the matchup breakdown above for the full item path and build order.
What are the best Gwen runes against Olaf?
The best Gwen runes against Olaf use the Precision primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Gwen vs Olaf matchup. See the full rune breakdown in the matchup comparison above.
Does Gwen counter Olaf?
No, Gwen struggles against Olaf with only a 20.0% win rate. Olaf has the advantage in this matchup. Gwen players should focus on safe farming and avoiding extended trades to minimize Olaf's lead.
How do I play Gwen against Olaf?
When playing Gwen 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.