Olafvs Pantheon
Olaf vs Pantheon is a decisive matchup in LoL patch 26.11. Olaf wins with a 64.5% win rate (+29.0%) over Pantheon based on 31 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 Pantheon 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.
Who Wins the Olaf vs Pantheon Matchup?
Olaf vs Pantheon Matchup Summary
The Olaf vs Pantheon matchup is a decisive matchup in League of Legends ranked play. Based on 31 recent matches analyzed, Olaf wins with a 64.5% win rate compared to Pantheon's 35.5%, giving Olaf a 29.0 percentage point advantage. Olaf dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Pantheon 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 751 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Olaf players can confidently pick into Pantheon and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Pantheon 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 Pantheon Laning Phase Breakdown
Olaf is favored during the laning phase against Pantheon, winning 3 out of 5 key stat categories. Olaf holds advantages in farming, gold income and sustain, making them the stronger laner in this matchup.
Best Olaf Build Against Pantheon
Gluttonous Greaves is the optimal boots choice against Pantheon, providing the mobility and stats Olaf needs most in this matchup. The top-performing core items for Olaf against Pantheon are Stridebreaker, Death's Dance 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 75.0% win rate across 4 games — well above average and making it the top item path against Pantheon. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Olaf vs Pantheon matchup.
Early Game vs Late Game
Olaf53.3%
Pantheon46.7%Olaf75.0%Pantheon25.0%Olaf dominates the early game (first 15 minutes) with a commanding 53.3% win rate — a 6.7 percentage point lead over Pantheon. 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 Pantheon. 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. Pantheon players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Olaf Runes Against Pantheon
Precision
Resolve
Running Precision primary with Resolve secondary allows Olaf to press their advantage against Pantheon, amplifying the strengths that make this a favorable matchup.
Olaf matchup data for League of Legends patch 26.11. 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 |
|---|---|---|---|---|---|---|---|
| 48.94% | 141 | 6.3 | 820 | 12,756 | 47.3% | 50.0% | |
| 55.73% | 131 | 6.2 | 947 | 13,442 | 60.0% | 53.5% | |
| 45.35% | 86 | 6.4 | 920 | 12,064 | 35.1% | 53.1% | |
| 48.05% | 77 | 6.6 | 895 | 12,395 | 43.3% | 51.1% | |
| 49.25% | 67 | 6.0 | 787 | 11,382 | 43.8% | 54.3% | |
| 44.44% | 63 | 6.4 | 1,186 | 11,059 | 38.2% | 51.7% | |
| 41.94% | 62 | 6.3 | 782 | 11,031 | 42.4% | 41.4% | |
| 52.73% | 55 | 6.4 | 833 | 11,426 | 56.3% | 47.8% | |
| 44.44% | 54 | 6.2 | 995 | 13,283 | 45.0% | 44.1% | |
| 43.40% | 53 | 6.3 | 1,121 | 13,767 | 41.2% | 44.4% | |
| 42.86% | 49 | 6.2 | 841 | 11,944 | 50.0% | 37.0% | |
| 52.08% | 48 | 6.0 | 898 | 10,864 | 40.0% | 72.2% | |
| 54.17% | 48 | 7.2 | 892 | 12,134 | 52.0% | 56.5% | |
| 50.00% | 46 | 6.5 | 919 | 12,163 | 41.7% | 59.1% | |
| 35.56% | 45 | 6.2 | 797 | 11,459 | 25.0% | 41.4% | |
| 43.18% | 44 | 6.5 | 876 | 13,371 | 46.7% | 41.4% | |
| 43.18% | 44 | 6.4 | 929 | 10,929 | 51.7% | 26.7% | |
| 58.14% | 43 | 6.5 | 860 | 11,168 | 60.0% | 56.5% | |
| 45.24% | 42 | 6.3 | 858 | 11,882 | 39.1% | 52.6% | |
| 57.14% | 42 | 4.2 | 870 | 11,992 | 50.0% | 63.6% | |
| 52.38% | 42 | 6.4 | 833 | 13,596 | 50.0% | 53.6% | |
| 41.03% | 39 | 6.3 | 974 | 11,336 | 50.0% | 33.3% | |
| 65.79% | 38 | 6.3 | 945 | 12,250 | 64.3% | 66.7% | |
| 47.37% | 38 | 6.1 | 888 | 11,299 | 50.0% | 45.0% | |
| 47.22% | 36 | 7.6 | 854 | 13,014 | 47.1% | 47.4% | |
| 72.73% | 33 | 4.7 | 1,169 | 15,172 | 69.2% | 75.0% | |
| 45.45% | 33 | 6.2 | 832 | 9,547 | 57.9% | 28.6% | |
| 64.52% | 31 | 5.7 | 764 | 12,446 | 53.3% | 75.0% | |
| 35.48% | 31 | 6.6 | 875 | 12,279 | 44.4% | 31.8% | |
| 53.33% | 30 | 6.7 | 951 | 12,351 | 56.3% | 50.0% | |
| 43.33% | 30 | 6.2 | 887 | 13,258 | 46.1% | 41.2% | |
| 48.28% | 29 | 2.4 | 784 | 13,050 | 58.3% | 41.2% | |
| 50.00% | 28 | 1.9 | 828 | 11,578 | 43.8% | 58.3% | |
| 57.69% | 26 | 6.1 | 972 | 12,135 | 53.9% | 61.5% | |
| 58.33% | 24 | 1.3 | 715 | 13,137 | 45.5% | 69.2% | |
| 45.83% | 24 | 6.2 | 739 | 11,533 | 35.7% | 60.0% | |
| 58.33% | 24 | 4.5 | 844 | 13,767 | 50.0% | 64.3% | |
| 69.57% | 23 | 6.6 | 824 | 12,069 | 63.6% | 75.0% | |
| 52.17% | 23 | 6.5 | 953 | 12,340 | 54.5% | 50.0% | |
| 56.52% | 23 | 5.9 | 600 | 10,481 | 50.0% | 63.6% | |
| 47.83% | 23 | 6.8 | 820 | 13,000 | 50.0% | 46.7% | |
| 54.55% | 22 | 6.7 | 811 | 12,103 | 55.6% | 53.9% | |
| 59.09% | 22 | 6.0 | 796 | 12,708 | 62.5% | 57.1% | |
| 52.38% | 21 | 4.9 | 817 | 12,127 | 50.0% | 54.5% | |
| 42.86% | 21 | 6.5 | 809 | 10,302 | 36.4% | 50.0% | |
| 50.00% | 20 | 2.1 | 750 | 11,362 | 40.0% | 60.0% | |
| 65.00% | 20 | 2.8 | 904 | 10,387 | 58.3% | 75.0% | |
| 47.37% | 19 | 6.4 | 806 | 12,068 | 61.5% | 16.7% | |
| 57.89% | 19 | 6.2 | 841 | 11,314 | 77.8% | 40.0% | |
| 63.16% | 19 | 1.6 | 711 | 12,729 | 55.6% | 70.0% | |
| 57.89% | 19 | 1.4 | 815 | 15,071 | 80.0% | 50.0% | |
| 50.00% | 18 | 7.0 | 802 | 12,172 | 50.0% | 50.0% | |
| 55.56% | 18 | 6.3 | 875 | 10,188 | 60.0% | 50.0% | |
| 77.78% | 18 | 3.0 | 816 | 14,007 | 57.1% | 90.9% | |
| 70.59% | 17 | 6.7 | 926 | 12,254 | 81.8% | 50.0% | |
| 40.00% | 15 | 6.0 | 956 | 10,105 | 33.3% | 50.0% | |
| 66.67% | 15 | 7.2 | 772 | 11,365 | 88.9% | 33.3% | |
| 42.86% | 14 | 4.9 | 866 | 12,374 | 16.7% | 62.5% | |
| 50.00% | 14 | 6.7 | 722 | 10,532 | 40.0% | 55.6% | |
| 58.33% | 12 | 2.0 | 831 | 15,170 | 75.0% | 50.0% | |
| 58.33% | 12 | 6.5 | 1,083 | 12,033 | 60.0% | 57.1% | |
| 75.00% | 12 | 7.0 | 1,039 | 16,583 | 100.0% | 50.0% | |
| 45.45% | 11 | 1.2 | 857 | 15,031 | 25.0% | 57.1% | |
| 36.36% | 11 | 3.5 | 900 | 14,160 | 25.0% | 42.9% | |
| 18.18% | 11 | 1.2 | 619 | 12,712 | 16.7% | 20.0% | |
| 30.00% | 10 | 1.1 | 568 | 11,429 | 42.9% | 0.0% | |
| 30.00% | 10 | 3.3 | 1,160 | 14,391 | 25.0% | 33.3% | |
| 40.00% | 10 | 4.5 | 856 | 14,422 | 100.0% | 25.0% | |
| 75.00% | 8 | 6.2 | 930 | 11,953 | 75.0% | 75.0% | |
| 75.00% | 8 | 1.8 | 811 | 13,992 | 100.0% | 71.4% | |
| 57.14% | 7 | 3.2 | 883 | 11,710 | 33.3% | 75.0% | |
| 28.57% | 7 | 1.4 | 629 | 12,918 | 25.0% | 33.3% | |
| 71.43% | 7 | 6.6 | 993 | 12,267 | 60.0% | 100.0% | |
| 57.14% | 7 | 1.4 | 663 | 10,759 | 75.0% | 33.3% | |
| 50.00% | 6 | 5.7 | 786 | 10,181 | 50.0% | 50.0% | |
| 33.33% | 6 | 2.4 | 727 | 10,349 | 66.7% | 0.0% | |
| 0.00% | 6 | 3.4 | 636 | 9,564 | 0.0% | 0.0% | |
| 50.00% | 6 | 6.8 | 684 | 11,207 | 66.7% | 33.3% | |
| 50.00% | 6 | 1.4 | 1,235 | 16,887 | 50.0% | 50.0% | |
| 16.67% | 6 | 0.8 | 496 | 7,824 | 25.0% | 0.0% | |
| 50.00% | 6 | 7.8 | 917 | 15,342 | 66.7% | 33.3% | |
| 20.00% | 5 | 5.4 | 643 | 11,594 | 0.0% | 33.3% | |
| 40.00% | 5 | 3.4 | 990 | 13,959 | 100.0% | 25.0% | |
| 60.00% | 5 | 3.4 | 821 | 13,041 | 66.7% | 50.0% | |
| 60.00% | 5 | 2.9 | 845 | 15,947 | 100.0% | 33.3% | |
| 60.00% | 5 | 7.2 | 1,362 | 11,589 | 50.0% | 100.0% | |
| 60.00% | 5 | 2.9 | 916 | 15,475 | 0.0% | 75.0% | |
| 60.00% | 5 | 4.5 | 671 | 11,044 | 66.7% | 50.0% | |
| 40.00% | 5 | 2.9 | 765 | 15,090 | 50.0% | 33.3% | |
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Olaf vs Pantheon - Frequently Asked Questions
How does Olaf do against Pantheon in League of Legends?
Olaf wins the Olaf vs Pantheon matchup with a 64.5% win rate compared to Pantheon's 35.5%, a 29.0 percentage point difference. This data is based on 31 recent ranked games in patch 26.11.
How does Olaf do against Pantheon in the early game?
In the early game, Olaf has the advantage against Pantheon with a 53.3% win rate versus 46.7%. 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 Pantheon in the late game?
In the late game, Olaf takes over the Olaf vs Pantheon 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 Olaf vs Pantheon matchup?
Olaf wins the matchup against Pantheon with a 64.5% win rate in League of Legends patch 26.11. The 29.0 percentage point advantage means Olaf is significantly favored in this lane matchup based on 31 games analyzed.
What is the best Olaf build against Pantheon?
The best Olaf build against Pantheon includes Stridebreaker, Death's Dance, Experimental Hexplate with Gluttonous Greaves. This build achieves a 75.0% 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 Pantheon?
The best Olaf runes against Pantheon use the Precision primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Olaf vs Pantheon matchup. See the full rune breakdown in the matchup comparison above.
Does Olaf counter Pantheon?
Yes, Olaf has a favorable matchup against Pantheon with a 64.5% win rate. Olaf strongly counters Pantheon in lane based on current patch 26.11 data.
How do I play Olaf against Pantheon?
When playing Olaf against Pantheon, 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.