Ashevs Fiora
Ashe vs Fiora is a very close matchup in LoL patch 26.10. Ashe wins with a 50.0% win rate (+0.0%) over Fiora based on 10 games. Ashe wins the early laning phase while Fiora scales better into the late game. Below you'll find the best Ashe build, runes, laning stats, and strategies for the Ashe vs Fiora matchup.
Ashe Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Ashe 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.
Fiora(50.0%)Who Wins the Ashe vs Fiora Matchup?
Ashe vs Fiora Matchup Summary
The Ashe vs Fiora matchup is essentially a coin-flip matchup in League of Legends ranked play. Based on 10 recent matches analyzed, Ashe wins with a 50.0% win rate compared to Fiora's 50.0%, giving Ashe a 0.0 percentage point advantage. Game phase dynamics play a critical role here: Ashe controls the early laning stage, but Fiora outscales as the game goes longer. The matchup shifts dramatically depending on game length — Ashe needs to press advantages before Fiora reaches their power spikes, while Fiora should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in sustain, where Fiora leads by 1,503 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Ashe has a statistical edge, but the margin is close enough that respecting Fiora's strengths is important. Trade when cooldowns are favorable, track the enemy jungler, and build toward your strongest item spikes to convert the slight advantage into a decisive lead. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Ashe vs Fiora Laning Phase Breakdown
Fiora is favored during the laning phase against Ashe, winning 4 out of 5 key stat categories. Fiora holds advantages in farming, damage, gold income and sustain, making them the stronger laner in this matchup.
Best Ashe Build Against Fiora
Berserker's Greaves is the optimal boots choice against Fiora, providing the mobility and stats Ashe needs most in this matchup. The top-performing core items for Ashe against Fiora are Kraken Slayer, Blade of The Ruined King and Phantom Dancer. This combination gives Ashe 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 Ashe vs Fiora matchup.
Early Game vs Late Game
Ashe60.0%Fiora40.0%Ashe40.0%Fiora60.0%Ashe dominates the early game (first 15 minutes) with a commanding 60.0% win rate — a 20.0 percentage point lead over Fiora. This lopsided early game means Ashe can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Fiora is far superior in the late game (25+ minutes), boasting a 60.0% win rate — 20.0 points above Ashe. Extended games heavily favor Fiora, whose kit and scaling make them a dominant force in team fights and objective control.
This matchup features a dramatic power shift: Ashe must aggressively press their early advantage and close out the game before Fiora reaches their scaling breakpoints. If Fiora 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 Ashe Runes Against Fiora
Precision
Inspiration
The Precision primary with Inspiration secondary combination helps Ashe maximize their potential in this closely contested matchup, providing the right mix of offensive and defensive tools to edge out Fiora.
Ashe matchup data for League of Legends patch 26.10. The table below shows Ashe'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 Ashe 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 |
|---|---|---|---|---|---|---|---|
| 45.84% | 1,492 | 6.3 | 825 | 13,025 | 51.8% | 42.0% | |
| 50.42% | 1,321 | 6.3 | 767 | 12,430 | 50.3% | 50.5% | |
| 49.90% | 972 | 6.0 | 738 | 12,540 | 50.1% | 49.7% | |
| 49.35% | 847 | 6.3 | 795 | 12,692 | 47.5% | 50.9% | |
| 53.64% | 839 | 6.3 | 791 | 12,746 | 50.4% | 56.0% | |
| 54.38% | 673 | 6.4 | 773 | 12,497 | 50.7% | 57.3% | |
| 54.79% | 438 | 6.2 | 826 | 12,847 | 57.4% | 52.7% | |
| 55.64% | 417 | 6.4 | 845 | 13,234 | 58.2% | 53.9% | |
| 50.45% | 333 | 6.2 | 772 | 12,367 | 57.5% | 45.3% | |
| 47.66% | 321 | 6.2 | 807 | 12,517 | 50.9% | 44.2% | |
| 46.91% | 307 | 5.7 | 774 | 11,725 | 50.0% | 44.5% | |
| 55.30% | 302 | 6.2 | 770 | 12,543 | 54.5% | 55.9% | |
| 50.33% | 302 | 6.0 | 702 | 11,733 | 56.9% | 44.3% | |
| 51.76% | 284 | 6.2 | 779 | 12,576 | 54.0% | 50.0% | |
| 52.81% | 267 | 6.5 | 784 | 12,595 | 55.6% | 50.4% | |
| 48.47% | 229 | 6.6 | 777 | 12,461 | 43.6% | 52.9% | |
| 53.30% | 212 | 6.2 | 775 | 12,693 | 46.3% | 59.0% | |
| 55.56% | 207 | 6.4 | 788 | 12,461 | 57.0% | 54.2% | |
| 48.95% | 190 | 6.8 | 795 | 12,507 | 49.0% | 48.9% | |
| 45.74% | 188 | 5.8 | 771 | 12,497 | 42.6% | 47.5% | |
| 48.31% | 178 | 6.3 | 802 | 12,754 | 47.0% | 49.5% | |
| 47.24% | 127 | 4.3 | 638 | 11,168 | 47.2% | 47.3% | |
| 55.36% | 112 | 5.9 | 693 | 11,989 | 50.0% | 59.7% | |
| 46.85% | 111 | 6.2 | 776 | 12,396 | 53.9% | 40.7% | |
| 42.45% | 106 | 3.9 | 633 | 10,797 | 33.3% | 47.8% | |
| 38.38% | 99 | 6.5 | 851 | 13,221 | 38.6% | 38.2% | |
| 42.42% | 99 | 6.5 | 835 | 13,123 | 45.2% | 40.4% | |
| 60.22% | 93 | 6.3 | 682 | 12,943 | 51.4% | 65.5% | |
| 46.07% | 89 | 6.2 | 827 | 12,825 | 35.3% | 52.7% | |
| 49.35% | 77 | 5.7 | 859 | 11,505 | 31.4% | 64.3% | |
| 56.92% | 65 | 6.4 | 856 | 11,990 | 52.8% | 62.1% | |
| 47.54% | 61 | 5.5 | 677 | 11,469 | 53.3% | 41.9% | |
| 46.55% | 58 | 5.1 | 685 | 13,391 | 47.6% | 46.0% | |
| 52.27% | 44 | 4.4 | 837 | 11,192 | 37.5% | 60.7% | |
| 52.50% | 40 | 5.5 | 608 | 12,488 | 41.2% | 60.9% | |
| 32.50% | 40 | 6.5 | 800 | 13,681 | 42.9% | 26.9% | |
| 39.47% | 38 | 6.1 | 826 | 13,322 | 28.6% | 45.8% | |
| 47.22% | 36 | 6.3 | 795 | 11,062 | 38.9% | 55.6% | |
| 50.00% | 34 | 6.3 | 992 | 12,845 | 37.5% | 61.1% | |
| 50.00% | 30 | 3.1 | 604 | 10,340 | 36.4% | 57.9% | |
| 51.72% | 29 | 5.9 | 698 | 12,138 | 41.2% | 66.7% | |
| 50.00% | 26 | 1.9 | 544 | 9,306 | 50.0% | 50.0% | |
| 73.08% | 26 | 1.7 | 680 | 10,793 | 66.7% | 75.0% | |
| 50.00% | 26 | 2.5 | 635 | 10,524 | 63.6% | 40.0% | |
| 50.00% | 24 | 6.2 | 685 | 13,131 | 30.0% | 64.3% | |
| 45.83% | 24 | 1.9 | 597 | 9,485 | 33.3% | 53.3% | |
| 52.17% | 23 | 3.3 | 618 | 11,094 | 71.4% | 43.8% | |
| 54.55% | 22 | 1.4 | 580 | 9,887 | 40.0% | 58.8% | |
| 52.38% | 21 | 1.7 | 647 | 10,107 | 42.9% | 57.1% | |
| 33.33% | 21 | 5.5 | 717 | 10,036 | 30.8% | 37.5% | |
| 68.75% | 16 | 6.3 | 914 | 12,306 | 75.0% | 66.7% | |
| 18.75% | 16 | 5.6 | 853 | 12,197 | 0.0% | 27.3% | |
| 31.25% | 16 | 1.7 | 663 | 10,317 | 25.0% | 33.3% | |
| 86.67% | 15 | 1.8 | 575 | 9,671 | 100.0% | 80.0% | |
| 33.33% | 15 | 6.1 | 803 | 11,444 | 55.6% | 0.0% | |
| 50.00% | 14 | 2.2 | 678 | 11,181 | 100.0% | 41.7% | |
| 42.86% | 14 | 1.4 | 644 | 9,541 | 20.0% | 55.6% | |
| 28.57% | 14 | 5.6 | 639 | 9,069 | 11.1% | 60.0% | |
| 53.85% | 13 | 4.9 | 804 | 13,081 | 33.3% | 60.0% | |
| 46.15% | 13 | 1.8 | 503 | 9,022 | 57.1% | 33.3% | |
| 38.46% | 13 | 2.2 | 700 | 12,268 | 20.0% | 50.0% | |
| 58.33% | 12 | 6.9 | 900 | 13,642 | 80.0% | 42.9% | |
| 66.67% | 12 | 6.0 | 821 | 11,496 | 62.5% | 75.0% | |
| 25.00% | 12 | 2.4 | 526 | 7,880 | 33.3% | 16.7% | |
| 33.33% | 12 | 6.1 | 769 | 12,823 | 33.3% | 33.3% | |
| 27.27% | 11 | 4.9 | 661 | 10,030 | 42.9% | 0.0% | |
| 72.73% | 11 | 1.9 | 720 | 10,308 | 60.0% | 83.3% | |
| 54.55% | 11 | 2.4 | 583 | 10,131 | 50.0% | 55.6% | |
| 30.00% | 10 | 2.2 | 782 | 9,343 | 50.0% | 16.7% | |
| 60.00% | 10 | 1.9 | 742 | 9,320 | 83.3% | 25.0% | |
| 50.00% | 10 | 5.9 | 834 | 12,811 | 60.0% | 40.0% | |
| 22.22% | 9 | 5.7 | 602 | 11,799 | 33.3% | 16.7% | |
| 66.67% | 9 | 5.9 | 977 | 14,877 | 66.7% | 66.7% | |
| 44.44% | 9 | 5.4 | 833 | 12,737 | 100.0% | 28.6% | |
| 66.67% | 9 | 5.4 | 642 | 9,876 | 50.0% | 80.0% | |
| 44.44% | 9 | 2.2 | 526 | 7,419 | 40.0% | 50.0% | |
| 33.33% | 9 | 1.9 | 465 | 8,930 | 20.0% | 50.0% | |
| 66.67% | 9 | 3.9 | 559 | 11,364 | 66.7% | 66.7% | |
| 50.00% | 8 | 6.1 | 901 | 14,027 | 0.0% | 57.1% | |
| 50.00% | 8 | 5.5 | 568 | 9,996 | 50.0% | 50.0% | |
| 50.00% | 8 | 5.3 | 662 | 9,399 | 60.0% | 33.3% | |
| 62.50% | 8 | 4.3 | 600 | 10,868 | 50.0% | 66.7% | |
| 50.00% | 8 | 6.9 | 696 | 11,615 | 25.0% | 75.0% | |
| 25.00% | 8 | 5.8 | 859 | 12,435 | 0.0% | 50.0% | |
| 50.00% | 8 | 6.7 | 984 | 11,926 | 60.0% | 33.3% | |
| 42.86% | 7 | 6.7 | 1,010 | 12,793 | 50.0% | 33.3% | |
| 85.71% | 7 | 3.8 | 636 | 10,600 | 75.0% | 100.0% | |
| 28.57% | 7 | 1.5 | 680 | 9,945 | 50.0% | 20.0% | |
| 57.14% | 7 | 2.5 | 607 | 9,980 | 75.0% | 33.3% | |
| 42.86% | 7 | 6.3 | 1,128 | 14,272 | 66.7% | 25.0% | |
| 71.43% | 7 | 4.8 | 727 | 12,022 | 66.7% | 75.0% | |
| 28.57% | 7 | 3.8 | 673 | 12,501 | 50.0% | 20.0% | |
| 50.00% | 6 | 5.3 | 738 | 10,861 | 50.0% | 50.0% | |
| 50.00% | 6 | 2.5 | 757 | 8,934 | 0.0% | 75.0% | |
| 66.67% | 6 | 5.9 | 793 | 10,433 | 66.7% | 66.7% | |
| 33.33% | 6 | 6.0 | 1,050 | 13,184 | 0.0% | 66.7% | |
| 16.67% | 6 | 2.7 | 736 | 8,265 | 25.0% | 0.0% | |
| 50.00% | 6 | 5.1 | 986 | 10,988 | 100.0% | 25.0% | |
| 50.00% | 6 | 6.7 | 778 | 12,711 | 0.0% | 50.0% | |
| 83.33% | 6 | 6.1 | 776 | 9,140 | 75.0% | 100.0% | |
| 50.00% | 6 | 1.4 | 584 | 9,893 | 50.0% | 50.0% | |
| 33.33% | 6 | 5.4 | 873 | 12,561 | 100.0% | 20.0% | |
| 50.00% | 6 | 2.5 | 639 | 10,227 | 66.7% | 33.3% | |
| 80.00% | 5 | 6.9 | 984 | 14,021 | 66.7% | 100.0% | |
| 60.00% | 5 | 1.4 | 645 | 8,592 | 50.0% | 66.7% | |
| 80.00% | 5 | 5.9 | 679 | 10,684 | 66.7% | 100.0% | |
| 80.00% | 5 | 5.6 | 850 | 13,467 | 100.0% | 75.0% | |
| 40.00% | 5 | 5.2 | 674 | 10,009 | 0.0% | 100.0% | |
| 60.00% | 5 | 5.4 | 912 | 12,452 | 0.0% | 75.0% | |
| 80.00% | 5 | 3.9 | 676 | 12,299 | 0.0% | 100.0% | |
| 60.00% | 5 | 5.9 | 806 | 10,995 | 100.0% | 50.0% | |
Help us maintain accuracy! If you notice incorrect stats, missing data, or any issues, your feedback directly improves the quality of our data for the entire community.
Ashe vs Fiora - Frequently Asked Questions
How does Ashe do against Fiora in League of Legends?
Ashe wins the Ashe vs Fiora matchup with a 50.0% win rate compared to Fiora's 50.0%, a 0.0 percentage point difference. This data is based on 10 recent ranked games in patch 26.10.
How does Ashe do against Fiora in the early game?
In the early game, Ashe has the advantage against Fiora with a 60.0% win rate versus 40.0%. Ashe players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Ashe do against Fiora in the late game?
In the late game, Fiora takes over the Ashe vs Fiora matchup with a 60.0% win rate compared to 40.0%. Fiora scales better into team fights and objective contests after 25 minutes.
Who wins the Ashe vs Fiora matchup?
Ashe wins the matchup against Fiora with a 50.0% win rate in League of Legends patch 26.10. The 0.0 percentage point advantage means Ashe is slightly favored in this lane matchup based on 10 games analyzed.
What is the best Ashe build against Fiora?
The best Ashe build against Fiora includes Kraken Slayer, Blade of The Ruined King, Phantom Dancer with Berserker's Greaves. Check the matchup breakdown above for the full item path and build order.
What are the best Ashe runes against Fiora?
The best Ashe runes against Fiora use the Precision primary tree with Inspiration secondary. This rune setup achieves a 100.0% win rate in the Ashe vs Fiora matchup. See the full rune breakdown in the matchup comparison above.
Does Ashe counter Fiora?
Yes, Ashe has a favorable matchup against Fiora with a 50.0% win rate. Ashe slightly edges out Fiora in lane based on current patch 26.10 data.
How do I play Ashe against Fiora?
When playing Ashe against Fiora, 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.