Gwenvs Orianna
Gwen vs Orianna is a decisive matchup in LoL patch 26.10. Gwen wins with a 60.0% win rate (+20.0%) over Orianna based on 5 games. Gwen 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 Orianna 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.
Orianna(60.0%)Who Wins the Gwen vs Orianna Matchup?
Gwen vs Orianna Matchup Summary
The Gwen vs Orianna matchup is a decisive matchup in League of Legends ranked play. Based on 5 recent matches analyzed, Gwen wins with a 60.0% win rate compared to Orianna's 40.0%, giving Gwen a 20.0 percentage point advantage. Gwen dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Orianna 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 Orianna leads by 0.4s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Gwen players can confidently pick into Orianna and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Orianna away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Gwen vs Orianna Laning Phase Breakdown
Gwen is favored during the laning phase against Orianna, winning 3 out of 5 key stat categories. Gwen holds advantages in farming, gold income and sustain, making them the stronger laner in this matchup.
Best Gwen Build Against Orianna
Immortal Path is the optimal boots choice against Orianna, providing the mobility and stats Gwen needs most in this matchup. The top-performing core items for Gwen against Orianna are Shadowflame, Nashor's Tooth and Dusk and Dawn. This combination gives Gwen an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 100.0% win rate across 1 games — well above average and making it the top item path against Orianna. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Gwen vs Orianna matchup.
Early Game vs Late Game
Gwen66.7%Orianna33.3%Gwen50.0%Orianna50.0%Gwen dominates the early game (first 15 minutes) with a commanding 66.7% win rate — a 33.3 percentage point lead over Orianna. This lopsided early game means Gwen can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Late game (25+ minutes) is equally balanced, with Gwen at 50.0% win rate — only 0.0 points ahead of Orianna. Team fight execution and macro play determine the winner at this stage, not champion matchup advantage.
Gwen holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Orianna players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Gwen Runes Against Orianna
Inspiration
Sorcery
Running Inspiration primary with Sorcery secondary allows Gwen to press their advantage against Orianna, amplifying the strengths that make this a favorable matchup.
Gwen matchup data for League of Legends patch 26.10. 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 |
|---|---|---|---|---|---|---|---|
| 48.33% | 120 | 5.9 | 731 | 12,083 | 50.0% | 47.3% | |
| 52.54% | 118 | 6.0 | 861 | 11,536 | 52.6% | 52.5% | |
| 56.88% | 109 | 6.6 | 794 | 12,146 | 56.8% | 56.9% | |
| 41.75% | 103 | 6.2 | 1,283 | 11,546 | 37.8% | 44.8% | |
| 44.68% | 94 | 6.9 | 1,130 | 12,843 | 50.0% | 41.4% | |
| 40.86% | 93 | 5.8 | 792 | 11,570 | 29.7% | 48.2% | |
| 50.00% | 86 | 6.6 | 844 | 11,873 | 48.8% | 51.1% | |
| 53.66% | 82 | 6.1 | 810 | 12,034 | 55.8% | 51.3% | |
| 46.15% | 78 | 5.7 | 714 | 12,490 | 42.4% | 48.9% | |
| 37.84% | 74 | 6.3 | 695 | 10,983 | 28.9% | 47.2% | |
| 46.38% | 69 | 6.1 | 881 | 11,662 | 48.7% | 43.3% | |
| 44.12% | 68 | 6.7 | 905 | 11,427 | 44.8% | 43.6% | |
| 49.25% | 67 | 6.0 | 866 | 11,171 | 47.1% | 51.5% | |
| 56.06% | 66 | 6.5 | 1,057 | 12,589 | 51.7% | 59.5% | |
| 43.75% | 64 | 1.8 | 779 | 12,088 | 39.4% | 48.4% | |
| 54.10% | 61 | 6.0 | 1,057 | 12,646 | 45.8% | 59.5% | |
| 53.33% | 60 | 6.2 | 715 | 11,909 | 54.5% | 52.6% | |
| 55.17% | 58 | 4.8 | 797 | 11,791 | 37.0% | 71.0% | |
| 36.21% | 58 | 2.9 | 776 | 12,114 | 34.6% | 37.5% | |
| 37.04% | 54 | 6.4 | 945 | 12,822 | 40.0% | 34.5% | |
| 54.72% | 53 | 2.3 | 781 | 13,513 | 53.6% | 56.0% | |
| 34.62% | 52 | 6.0 | 784 | 10,535 | 37.0% | 32.0% | |
| 51.06% | 47 | 6.6 | 870 | 12,724 | 57.9% | 46.4% | |
| 47.83% | 46 | 2.1 | 673 | 12,046 | 45.0% | 50.0% | |
| 48.89% | 45 | 6.2 | 710 | 12,173 | 31.6% | 61.5% | |
| 38.64% | 44 | 6.1 | 877 | 11,968 | 36.8% | 40.0% | |
| 54.55% | 44 | 5.4 | 817 | 12,973 | 72.2% | 42.3% | |
| 52.27% | 44 | 6.0 | 867 | 10,797 | 48.0% | 57.9% | |
| 45.24% | 42 | 6.3 | 832 | 11,933 | 27.3% | 65.0% | |
| 45.24% | 42 | 6.5 | 740 | 12,562 | 31.6% | 56.5% | |
| 42.50% | 40 | 6.3 | 728 | 11,292 | 41.2% | 43.5% | |
| 44.74% | 38 | 3.4 | 939 | 13,551 | 46.7% | 43.5% | |
| 44.74% | 38 | 6.3 | 824 | 11,927 | 27.8% | 60.0% | |
| 54.05% | 37 | 6.1 | 1,015 | 11,296 | 43.8% | 61.9% | |
| 38.89% | 36 | 1.6 | 704 | 13,081 | 40.0% | 38.1% | |
| 48.57% | 35 | 6.8 | 876 | 11,734 | 42.9% | 52.4% | |
| 40.00% | 35 | 1.5 | 648 | 12,326 | 23.5% | 55.6% | |
| 35.29% | 34 | 5.9 | 776 | 11,410 | 26.7% | 42.1% | |
| 35.29% | 34 | 4.0 | 756 | 11,671 | 18.8% | 50.0% | |
| 52.94% | 34 | 5.1 | 759 | 10,741 | 52.9% | 52.9% | |
| 55.88% | 34 | 6.5 | 859 | 11,533 | 29.4% | 82.3% | |
| 72.73% | 33 | 1.3 | 914 | 13,836 | 53.9% | 85.0% | |
| 53.13% | 32 | 1.4 | 666 | 12,744 | 41.7% | 60.0% | |
| 31.25% | 32 | 2.6 | 716 | 12,040 | 26.7% | 35.3% | |
| 58.06% | 31 | 3.2 | 866 | 12,139 | 55.6% | 61.5% | |
| 25.81% | 31 | 6.3 | 747 | 11,011 | 23.5% | 28.6% | |
| 54.84% | 31 | 4.2 | 696 | 10,672 | 61.1% | 46.1% | |
| 45.16% | 31 | 6.0 | 785 | 11,508 | 35.3% | 57.1% | |
| 46.67% | 30 | 6.7 | 953 | 10,465 | 40.0% | 60.0% | |
| 48.28% | 29 | 1.2 | 773 | 13,136 | 42.9% | 53.3% | |
| 40.74% | 27 | 6.0 | 841 | 11,423 | 50.0% | 35.3% | |
| 53.85% | 26 | 5.8 | 736 | 12,744 | 60.0% | 50.0% | |
| 53.85% | 26 | 6.8 | 830 | 10,648 | 42.9% | 66.7% | |
| 57.69% | 26 | 6.4 | 983 | 11,867 | 46.7% | 72.7% | |
| 36.00% | 25 | 4.5 | 817 | 11,536 | 35.7% | 36.4% | |
| 45.83% | 24 | 6.3 | 685 | 11,159 | 66.7% | 25.0% | |
| 41.67% | 24 | 1.4 | 726 | 12,809 | 35.7% | 50.0% | |
| 60.87% | 23 | 5.6 | 752 | 11,449 | 63.6% | 58.3% | |
| 50.00% | 22 | 7.1 | 839 | 13,409 | 45.5% | 54.5% | |
| 59.09% | 22 | 5.5 | 795 | 12,478 | 60.0% | 58.3% | |
| 59.09% | 22 | 2.0 | 827 | 13,642 | 42.9% | 66.7% | |
| 47.62% | 21 | 6.8 | 872 | 12,797 | 63.6% | 30.0% | |
| 45.00% | 20 | 2.5 | 757 | 12,403 | 36.4% | 55.6% | |
| 52.63% | 19 | 1.4 | 754 | 12,755 | 55.6% | 50.0% | |
| 57.89% | 19 | 2.3 | 938 | 15,398 | 80.0% | 50.0% | |
| 33.33% | 18 | 2.8 | 727 | 11,821 | 22.2% | 44.4% | |
| 50.00% | 18 | 6.1 | 736 | 12,255 | 57.1% | 45.5% | |
| 38.89% | 18 | 3.2 | 745 | 12,939 | 44.4% | 33.3% | |
| 55.56% | 18 | 5.9 | 828 | 11,501 | 33.3% | 77.8% | |
| 27.78% | 18 | 3.9 | 637 | 12,055 | 33.3% | 16.7% | |
| 58.82% | 17 | 1.3 | 988 | 14,675 | 83.3% | 45.5% | |
| 43.75% | 16 | 1.2 | 739 | 12,187 | 57.1% | 33.3% | |
| 68.75% | 16 | 1.9 | 1,021 | 15,258 | 100.0% | 54.5% | |
| 56.25% | 16 | 4.5 | 797 | 10,359 | 71.4% | 44.4% | |
| 50.00% | 16 | 1.6 | 723 | 12,222 | 50.0% | 50.0% | |
| 46.67% | 15 | 7.0 | 844 | 12,368 | 42.9% | 50.0% | |
| 80.00% | 15 | 6.5 | 1,087 | 14,387 | 80.0% | 80.0% | |
| 53.33% | 15 | 2.0 | 986 | 14,445 | 28.6% | 75.0% | |
| 64.29% | 14 | 1.3 | 948 | 14,888 | 66.7% | 63.6% | |
| 35.71% | 14 | 5.7 | 714 | 13,147 | 33.3% | 36.4% | |
| 57.14% | 14 | 6.9 | 871 | 12,514 | 37.5% | 83.3% | |
| 7.69% | 13 | 1.8 | 844 | 13,288 | 0.0% | 12.5% | |
| 61.54% | 13 | 5.3 | 762 | 11,894 | 75.0% | 55.6% | |
| 46.15% | 13 | 4.7 | 982 | 15,010 | 33.3% | 50.0% | |
| 41.67% | 12 | 6.3 | 714 | 13,401 | 0.0% | 41.7% | |
| 41.67% | 12 | 6.3 | 1,028 | 13,820 | 100.0% | 36.4% | |
| 50.00% | 10 | 2.1 | 803 | 15,843 | 100.0% | 16.7% | |
| 50.00% | 10 | 6.7 | 670 | 11,629 | 60.0% | 40.0% | |
| 50.00% | 10 | 6.9 | 903 | 14,669 | 100.0% | 16.7% | |
| 40.00% | 10 | 4.8 | 845 | 11,587 | 25.0% | 50.0% | |
| 44.44% | 9 | 4.8 | 911 | 10,695 | 33.3% | 66.7% | |
| 44.44% | 9 | 4.6 | 517 | 8,612 | 33.3% | 66.7% | |
| 33.33% | 9 | 5.8 | 901 | 13,110 | 25.0% | 40.0% | |
| 25.00% | 8 | 6.6 | 921 | 11,942 | 25.0% | 25.0% | |
| 50.00% | 8 | 1.5 | 662 | 11,685 | 33.3% | 60.0% | |
| 42.86% | 7 | 2.1 | 729 | 13,329 | 33.3% | 50.0% | |
| 28.57% | 7 | 7.1 | 967 | 13,900 | 0.0% | 50.0% | |
| 57.14% | 7 | 6.9 | 1,038 | 12,784 | 66.7% | 50.0% | |
| 57.14% | 7 | 6.1 | 657 | 11,348 | 0.0% | 80.0% | |
| 57.14% | 7 | 1.3 | 728 | 12,570 | 60.0% | 50.0% | |
| 57.14% | 7 | 5.8 | 832 | 12,121 | 50.0% | 60.0% | |
| 42.86% | 7 | 6.8 | 780 | 12,525 | 50.0% | 33.3% | |
| 50.00% | 6 | 6.8 | 779 | 10,948 | 33.3% | 66.7% | |
| 50.00% | 6 | 4.4 | 950 | 14,753 | 33.3% | 66.7% | |
| 66.67% | 6 | 1.1 | 673 | 14,844 | 66.7% | 66.7% | |
| 33.33% | 6 | 3.8 | 894 | 10,690 | 33.3% | 33.3% | |
| 66.67% | 6 | 6.7 | 714 | 11,488 | 50.0% | 100.0% | |
| 66.67% | 6 | 6.4 | 999 | 13,207 | 66.7% | 66.7% | |
| 60.00% | 5 | 6.7 | 568 | 12,457 | 66.7% | 50.0% | |
| 60.00% | 5 | 5.5 | 635 | 10,916 | 50.0% | 66.7% | |
| 80.00% | 5 | 6.3 | 794 | 9,954 | 66.7% | 100.0% | |
| 80.00% | 5 | 6.8 | 1,111 | 17,316 | 100.0% | 75.0% | |
| 40.00% | 5 | 7.4 | 692 | 11,304 | 33.3% | 50.0% | |
| 60.00% | 5 | 1.6 | 991 | 18,281 | 0.0% | 60.0% | |
| 40.00% | 5 | 5.5 | 682 | 11,660 | 33.3% | 50.0% | |
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Gwen vs Orianna - Frequently Asked Questions
How does Gwen do against Orianna in League of Legends?
Gwen wins the Gwen vs Orianna matchup with a 60.0% win rate compared to Orianna's 40.0%, a 20.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.10.
How does Gwen do against Orianna in the early game?
In the early game, Gwen has the advantage against Orianna with a 66.7% win rate versus 33.3%. Gwen players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Gwen do against Orianna in the late game?
In the late game, Gwen takes over the Gwen vs Orianna matchup with a 50.0% win rate compared to 50.0%. Gwen scales better into team fights and objective contests after 25 minutes.
Who wins the Gwen vs Orianna matchup?
Gwen wins the matchup against Orianna with a 60.0% win rate in League of Legends patch 26.10. The 20.0 percentage point advantage means Gwen is significantly favored in this lane matchup based on 5 games analyzed.
What is the best Gwen build against Orianna?
The best Gwen build against Orianna includes Shadowflame, Nashor's Tooth, Dusk and Dawn with Immortal Path. 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 Gwen runes against Orianna?
The best Gwen runes against Orianna use the Inspiration primary tree with Sorcery secondary. This rune setup achieves a 100.0% win rate in the Gwen vs Orianna matchup. See the full rune breakdown in the matchup comparison above.
Does Gwen counter Orianna?
Yes, Gwen has a favorable matchup against Orianna with a 60.0% win rate. Gwen strongly counters Orianna in lane based on current patch 26.10 data.
How do I play Gwen against Orianna?
When playing Gwen against Orianna, 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.