Olafvs Irelia
Olaf vs Irelia is a decisive matchup in LoL patch 26.7. Olaf wins with a 71.4% win rate (+42.9%) over Irelia based on 21 games. Olaf holds the advantage in both the early and late game. Below you'll find the best Olaf build, runes, laning stats, and strategies for the Olaf vs Irelia matchup.
Olaf Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Olaf 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.
Irelia(71.4%)Who Wins the Olaf vs Irelia Matchup?
Olaf vs Irelia Matchup Summary
The Olaf vs Irelia matchup is a decisive matchup in League of Legends ranked play. Based on 21 recent matches analyzed, Olaf wins with a 71.4% win rate compared to Irelia's 28.6%, giving Olaf a 42.9 percentage point advantage. Olaf dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Irelia players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in sustain, where Olaf leads by 301 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Olaf players can confidently pick into Irelia and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Irelia away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Olaf vs Irelia Laning Phase Breakdown
Irelia is favored during the laning phase against Olaf, winning 3 out of 5 key stat categories. Irelia holds advantages in farming, gold income and crowd control, making them the stronger laner in this matchup.
Best Olaf Build Against Irelia
Plated Steelcaps is the optimal boots choice against Irelia, providing the mobility and stats Olaf needs most in this matchup. The top-performing core items for Olaf against Irelia are Death's Dance, Ravenous Hydra and Experimental Hexplate. This combination gives Olaf an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 66.7% win rate across 3 games — well above average and making it the top item path against Irelia. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Olaf vs Irelia matchup.
Early Game vs Late Game
Olaf57.1%Irelia42.9%Olaf78.6%Irelia21.4%Olaf dominates the early game (first 15 minutes) with a commanding 57.1% win rate — a 14.3 percentage point lead over Irelia. 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 78.6% win rate — 57.1 points above Irelia. 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. Irelia players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Olaf Runes Against Irelia
Precision
Resolve
Running Precision primary with Resolve secondary allows Olaf to press their advantage against Irelia, amplifying the strengths that make this a favorable matchup.
Olaf matchup data for League of Legends patch 26.7. The table below shows Olaf'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 Olaf 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 |
|---|---|---|---|---|---|---|---|
| 62.62% | 107 | 6.5 | 982 | 12,984 | 63.8% | 61.7% | |
| 42.50% | 80 | 6.6 | 869 | 12,164 | 55.6% | 31.8% | |
| 45.83% | 48 | 6.1 | 845 | 12,833 | 31.6% | 55.2% | |
| 58.33% | 48 | 7.0 | 1,067 | 12,861 | 72.0% | 43.5% | |
| 46.67% | 45 | 6.6 | 848 | 11,672 | 40.9% | 52.2% | |
| 51.28% | 39 | 7.0 | 1,078 | 12,787 | 58.8% | 45.5% | |
| 51.28% | 39 | 6.2 | 815 | 11,475 | 63.2% | 40.0% | |
| 41.03% | 39 | 6.2 | 844 | 10,492 | 34.6% | 53.9% | |
| 40.54% | 37 | 6.5 | 965 | 13,248 | 29.4% | 50.0% | |
| 45.95% | 37 | 6.7 | 877 | 14,070 | 46.1% | 45.8% | |
| 50.00% | 36 | 5.5 | 1,114 | 12,267 | 43.8% | 55.0% | |
| 51.43% | 35 | 6.5 | 1,070 | 12,368 | 50.0% | 52.6% | |
| 51.43% | 35 | 7.1 | 895 | 11,966 | 47.6% | 57.1% | |
| 44.12% | 34 | 3.7 | 892 | 13,810 | 40.0% | 47.4% | |
| 54.55% | 33 | 5.4 | 909 | 12,092 | 45.0% | 69.2% | |
| 36.36% | 33 | 6.5 | 782 | 10,502 | 36.8% | 35.7% | |
| 53.13% | 32 | 5.9 | 899 | 12,742 | 69.2% | 42.1% | |
| 55.17% | 29 | 6.5 | 933 | 14,040 | 71.4% | 50.0% | |
| 55.17% | 29 | 5.6 | 812 | 11,771 | 56.3% | 53.9% | |
| 35.71% | 28 | 6.8 | 851 | 13,630 | 50.0% | 27.8% | |
| 34.62% | 26 | 6.4 | 1,104 | 14,545 | 20.0% | 38.1% | |
| 56.00% | 25 | 7.1 | 958 | 10,312 | 64.3% | 45.5% | |
| 56.00% | 25 | 6.2 | 896 | 13,187 | 66.7% | 50.0% | |
| 34.78% | 23 | 6.2 | 767 | 11,318 | 36.4% | 33.3% | |
| 63.64% | 22 | 6.5 | 916 | 11,638 | 69.2% | 55.6% | |
| 63.64% | 22 | 6.5 | 1,032 | 12,459 | 66.7% | 60.0% | |
| 52.38% | 21 | 5.1 | 748 | 10,587 | 42.9% | 71.4% | |
| 71.43% | 21 | 6.9 | 961 | 13,325 | 57.1% | 78.6% | |
| 50.00% | 20 | 2.4 | 781 | 11,836 | 45.5% | 55.6% | |
| 35.00% | 20 | 7.5 | 894 | 12,334 | 33.3% | 36.4% | |
| 47.37% | 19 | 2.0 | 805 | 14,202 | 28.6% | 58.3% | |
| 36.84% | 19 | 6.9 | 915 | 11,897 | 20.0% | 55.6% | |
| 50.00% | 18 | 6.2 | 902 | 12,511 | 44.4% | 55.6% | |
| 44.44% | 18 | 6.3 | 802 | 12,082 | 28.6% | 54.5% | |
| 64.71% | 17 | 4.9 | 931 | 14,498 | 66.7% | 62.5% | |
| 35.29% | 17 | 6.3 | 853 | 10,668 | 25.0% | 44.4% | |
| 37.50% | 16 | 6.7 | 870 | 13,597 | 33.3% | 40.0% | |
| 46.67% | 15 | 7.0 | 872 | 11,757 | 50.0% | 42.9% | |
| 40.00% | 15 | 5.7 | 974 | 14,343 | 71.4% | 12.5% | |
| 33.33% | 15 | 6.7 | 805 | 11,865 | 0.0% | 55.6% | |
| 53.33% | 15 | 2.6 | 813 | 15,320 | 66.7% | 44.4% | |
| 46.67% | 15 | 3.8 | 754 | 11,649 | 44.4% | 50.0% | |
| 21.43% | 14 | 6.0 | 784 | 12,461 | 16.7% | 25.0% | |
| 71.43% | 14 | 5.2 | 810 | 11,538 | 72.7% | 66.7% | |
| 50.00% | 14 | 1.6 | 984 | 14,197 | 25.0% | 60.0% | |
| 50.00% | 14 | 1.3 | 669 | 10,730 | 55.6% | 40.0% | |
| 64.29% | 14 | 6.2 | 1,056 | 14,483 | 57.1% | 71.4% | |
| 53.85% | 13 | 1.3 | 801 | 10,715 | 28.6% | 83.3% | |
| 46.15% | 13 | 2.0 | 571 | 11,003 | 44.4% | 50.0% | |
| 75.00% | 12 | 7.8 | 901 | 13,787 | 66.7% | 83.3% | |
| 66.67% | 12 | 5.4 | 810 | 12,276 | 83.3% | 50.0% | |
| 41.67% | 12 | 6.2 | 963 | 10,648 | 50.0% | 33.3% | |
| 50.00% | 10 | 2.6 | 711 | 13,586 | 60.0% | 40.0% | |
| 40.00% | 10 | 7.0 | 677 | 10,217 | 42.9% | 33.3% | |
| 40.00% | 10 | 2.3 | 802 | 14,406 | 66.7% | 28.6% | |
| 50.00% | 10 | 6.2 | 908 | 11,020 | 40.0% | 60.0% | |
| 50.00% | 10 | 6.4 | 752 | 11,996 | 60.0% | 40.0% | |
| 44.44% | 9 | 6.6 | 885 | 10,979 | 25.0% | 60.0% | |
| 66.67% | 9 | 6.6 | 839 | 14,968 | 100.0% | 57.1% | |
| 37.50% | 8 | 2.1 | 653 | 12,655 | 50.0% | 33.3% | |
| 37.50% | 8 | 1.3 | 793 | 11,525 | 0.0% | 60.0% | |
| 37.50% | 8 | 1.4 | 803 | 13,720 | 33.3% | 40.0% | |
| 50.00% | 8 | 7.2 | 744 | 11,305 | 66.7% | 0.0% | |
| 57.14% | 7 | 6.0 | 755 | 11,403 | 60.0% | 50.0% | |
| 71.43% | 7 | 6.7 | 770 | 14,631 | 50.0% | 80.0% | |
| 57.14% | 7 | 6.7 | 1,216 | 14,845 | 75.0% | 33.3% | |
| 66.67% | 6 | 7.3 | 1,133 | 14,974 | 100.0% | 50.0% | |
| 66.67% | 6 | 3.7 | 972 | 13,879 | 100.0% | 33.3% | |
| 100.00% | 6 | 7.7 | 972 | 11,480 | 100.0% | 100.0% | |
| 66.67% | 6 | 3.9 | 1,014 | 15,864 | 50.0% | 75.0% | |
| 50.00% | 6 | 4.9 | 739 | 11,681 | 66.7% | 33.3% | |
| 66.67% | 6 | 6.0 | 982 | 12,579 | 33.3% | 100.0% | |
| 20.00% | 5 | 2.0 | 624 | 12,680 | 0.0% | 33.3% | |
| 60.00% | 5 | 1.3 | 959 | 12,935 | 50.0% | 66.7% | |
| 0.00% | 5 | 1.0 | 584 | 10,552 | 0.0% | 0.0% | |
| 40.00% | 5 | 2.5 | 576 | 9,251 | 50.0% | 33.3% | |
| 60.00% | 5 | 1.8 | 862 | 17,877 | 50.0% | 66.7% | |
| 40.00% | 5 | 1.1 | 1,024 | 15,885 | 0.0% | 66.7% | |
| 100.00% | 5 | 1.1 | 980 | 15,699 | 100.0% | 100.0% | |
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Olaf vs Irelia - Frequently Asked Questions
How does Olaf do against Irelia in League of Legends?
Olaf wins the Olaf vs Irelia matchup with a 71.4% win rate compared to Irelia's 28.6%, a 42.9 percentage point difference. This data is based on 21 recent ranked games in patch 26.7.
How does Olaf do against Irelia in the early game?
In the early game, Olaf has the advantage against Irelia with a 57.1% win rate versus 42.9%. Olaf players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Olaf do against Irelia in the late game?
In the late game, Olaf takes over the Olaf vs Irelia matchup with a 78.6% win rate compared to 21.4%. Olaf scales better into team fights and objective contests after 25 minutes.
Who wins the Olaf vs Irelia matchup?
Olaf wins the matchup against Irelia with a 71.4% win rate in League of Legends patch 26.7. The 42.9 percentage point advantage means Olaf is significantly favored in this lane matchup based on 21 games analyzed.
What is the best Olaf build against Irelia?
The best Olaf build against Irelia includes Death's Dance, Ravenous Hydra, Experimental Hexplate with Plated Steelcaps. This build achieves a 66.7% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Olaf runes against Irelia?
The best Olaf runes against Irelia use the Precision primary tree with Resolve secondary. This rune setup achieves a 66.7% win rate in the Olaf vs Irelia matchup. See the full rune breakdown in the matchup comparison above.
Does Olaf counter Irelia?
Yes, Olaf has a favorable matchup against Irelia with a 71.4% win rate. Olaf strongly counters Irelia in lane based on current patch 26.7 data.
How do I play Olaf against Irelia?
When playing Olaf against Irelia, 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.