
Talonvs Olaf
Talon vs Olaf is a decisive matchup in LoL patch 26.4. Talon wins with a 66.7% win rate (+33.3%) over Olaf based on 6 games. Talon holds the advantage in both the early and late game. Below you'll find the best Talon build, runes, laning stats, and strategies for the Talon vs Olaf matchup.
Talon Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Talon 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 Talon vs Olaf Matchup?

Talon vs Olaf Matchup Summary
The Talon vs Olaf matchup is a decisive matchup in League of Legends ranked play. Based on 6 recent matches analyzed, Talon wins with a 66.7% win rate compared to Olaf's 33.3%, giving Talon a 33.3 percentage point advantage. Talon dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Olaf 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 1,473 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Talon players can confidently pick into Olaf and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Olaf away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Talon vs Olaf Laning Phase Breakdown
Talon is favored during the laning phase against Olaf, winning 3 out of 5 key stat categories. Talon holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Talon Build Against Olaf
Boots of Swiftness is the optimal boots choice against Olaf, providing the mobility and stats Talon needs most in this matchup. The top-performing core items for Talon against Olaf are Axiom Arc, Serylda's Grudge and Edge of Night. This combination gives Talon an effective balance of damage, survivability, and utility for the matchup. This build achieves a solid 50.0% win rate across 2 games, proving it to be a reliable item path when facing Olaf. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Talon vs Olaf matchup.
Early Game vs Late Game
Talon dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Olaf. This lopsided early game means Talon can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Talon is far superior in the late game (25+ minutes), boasting a 60.0% win rate — 20.0 points above Olaf. Extended games heavily favor Talon, whose kit and scaling make them a dominant force in team fights and objective control.
Talon holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Olaf players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Talon Runes Against Olaf
Running Precision primary with Inspiration secondary allows Talon to press their advantage against Olaf, amplifying the strengths that make this a favorable matchup.
Talon matchup data for League of Legends patch 26.4. The table below shows Talon'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 Talon 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 |
|---|---|---|---|---|---|---|---|
| 52.67% | 151 | 1.4 | 815 | 14,648 | 60.3% | 47.1% | |
| 52.71% | 129 | 1.1 | 793 | 13,096 | 57.1% | 48.5% | |
| 50.81% | 124 | 6.5 | 869 | 12,408 | 36.9% | 66.1% | |
| 40.74% | 111 | 1.3 | 862 | 14,411 | 40.8% | 40.7% | |
| 51.49% | 101 | 3.0 | 828 | 14,121 | 57.9% | 47.6% | |
| 47.00% | 100 | 2.9 | 860 | 13,644 | 57.9% | 40.3% | |
| 47.42% | 97 | 1.6 | 842 | 14,214 | 46.9% | 47.9% | |
| 45.45% | 90 | 6.4 | 922 | 13,070 | 46.5% | 44.4% | |
| 47.13% | 88 | 1.2 | 860 | 14,119 | 51.2% | 43.5% | |
| 45.24% | 85 | 1.5 | 806 | 13,632 | 35.9% | 53.3% | |
| 48.81% | 84 | 6.5 | 852 | 12,659 | 55.3% | 43.5% | |
| 49.40% | 83 | 5.3 | 829 | 13,506 | 47.5% | 51.2% | |
| 50.68% | 73 | 1.4 | 945 | 13,950 | 54.8% | 47.6% | |
| 47.83% | 70 | 6.5 | 852 | 13,294 | 56.0% | 43.2% | |
| 44.93% | 70 | 1.2 | 782 | 12,938 | 59.4% | 32.4% | |
| 48.48% | 67 | 1.1 | 873 | 14,096 | 50.0% | 47.4% | |
| 40.98% | 63 | 3.8 | 750 | 12,099 | 37.5% | 44.8% | |
| 58.73% | 63 | 3.9 | 923 | 13,031 | 56.3% | 61.3% | |
| 50.00% | 60 | 1.3 | 823 | 14,427 | 51.9% | 48.5% | |
| 49.12% | 57 | 1.4 | 797 | 13,118 | 51.7% | 46.4% | |
| 42.11% | 57 | 1.2 | 821 | 15,217 | 33.3% | 48.5% | |
| 42.11% | 57 | 6.4 | 893 | 13,050 | 36.4% | 45.7% | |
| 42.86% | 56 | 1.4 | 872 | 15,318 | 37.5% | 46.9% | |
| 40.38% | 52 | 3.5 | 835 | 12,662 | 44.4% | 36.0% | |
| 51.92% | 52 | 6.0 | 835 | 11,910 | 52.9% | 51.4% | |
| 42.86% | 50 | 1.5 | 830 | 15,356 | 50.0% | 39.4% | |
| 44.90% | 50 | 1.6 | 782 | 14,672 | 52.6% | 40.0% | |
| 45.83% | 49 | 1.5 | 846 | 14,750 | 57.1% | 37.0% | |
| 46.94% | 49 | 1.1 | 885 | 12,993 | 44.8% | 50.0% | |
| 45.83% | 48 | 5.9 | 814 | 12,626 | 35.3% | 51.6% | |
| 39.58% | 48 | 1.5 | 745 | 12,922 | 30.8% | 50.0% | |
| 61.36% | 45 | 6.4 | 822 | 13,061 | 63.2% | 60.0% | |
| 29.55% | 45 | 1.3 | 955 | 15,338 | 18.2% | 33.3% | |
| 44.44% | 45 | 1.3 | 831 | 13,892 | 40.7% | 50.0% | |
| 53.49% | 43 | 1.3 | 854 | 14,306 | 55.0% | 52.2% | |
| 39.53% | 43 | 1.6 | 940 | 14,665 | 33.3% | 42.9% | |
| 35.71% | 43 | 3.5 | 814 | 12,473 | 30.4% | 42.1% | |
| 54.76% | 42 | 1.7 | 923 | 14,532 | 62.5% | 50.0% | |
| 61.90% | 42 | 5.7 | 977 | 13,308 | 75.0% | 53.9% | |
| 62.50% | 40 | 1.6 | 872 | 15,025 | 46.7% | 72.0% | |
| 56.41% | 40 | 1.9 | 804 | 14,368 | 53.3% | 58.3% | |
| 48.72% | 39 | 3.3 | 788 | 13,861 | 36.8% | 60.0% | |
| 42.11% | 38 | 6.9 | 868 | 11,850 | 30.4% | 60.0% | |
| 52.63% | 38 | 6.7 | 1,045 | 13,891 | 56.3% | 50.0% | |
| 47.37% | 38 | 1.4 | 808 | 14,703 | 56.3% | 40.9% | |
| 54.05% | 37 | 1.6 | 827 | 13,068 | 54.5% | 53.3% | |
| 51.43% | 36 | 6.6 | 873 | 12,558 | 53.3% | 50.0% | |
| 52.78% | 36 | 2.1 | 781 | 13,791 | 57.1% | 50.0% | |
| 44.44% | 36 | 7.1 | 922 | 12,428 | 45.0% | 43.8% | |
| 55.56% | 36 | 6.1 | 828 | 12,663 | 46.7% | 61.9% | |
| 62.86% | 35 | 6.5 | 939 | 12,925 | 84.2% | 37.5% | |
| 67.65% | 35 | 1.2 | 904 | 14,843 | 42.9% | 85.0% | |
| 54.29% | 35 | 1.3 | 788 | 13,216 | 53.3% | 55.0% | |
| 50.00% | 34 | 1.3 | 771 | 13,712 | 53.3% | 47.4% | |
| 40.00% | 31 | 5.5 | 752 | 11,584 | 40.0% | 40.0% | |
| 41.94% | 31 | 6.2 | 807 | 12,428 | 36.4% | 45.0% | |
| 46.67% | 30 | 6.1 | 886 | 12,734 | 57.1% | 37.5% | |
| 53.33% | 30 | 4.5 | 803 | 12,416 | 46.1% | 58.8% | |
| 36.67% | 30 | 3.9 | 854 | 12,639 | 35.3% | 38.5% | |
| 48.28% | 29 | 6.8 | 805 | 12,885 | 44.4% | 50.0% | |
| 53.57% | 28 | 6.4 | 859 | 13,584 | 37.5% | 60.0% | |
| 48.15% | 27 | 1.5 | 810 | 15,547 | 25.0% | 57.9% | |
| 59.26% | 27 | 3.7 | 850 | 13,990 | 69.2% | 50.0% | |
| 38.46% | 27 | 1.1 | 713 | 12,329 | 42.9% | 33.3% | |
| 46.15% | 26 | 6.0 | 789 | 11,480 | 66.7% | 28.6% | |
| 42.31% | 26 | 6.5 | 793 | 13,184 | 50.0% | 40.0% | |
| 46.15% | 26 | 6.1 | 789 | 11,956 | 41.7% | 50.0% | |
| 48.00% | 25 | 1.3 | 920 | 14,733 | 41.7% | 53.9% | |
| 52.00% | 25 | 1.6 | 854 | 13,446 | 50.0% | 55.6% | |
| 56.00% | 25 | 6.2 | 795 | 12,600 | 55.6% | 56.3% | |
| 63.64% | 22 | 6.9 | 965 | 13,855 | 77.8% | 53.9% | |
| 33.33% | 21 | 1.1 | 844 | 14,645 | 50.0% | 23.1% | |
| 57.14% | 21 | 3.9 | 947 | 14,727 | 50.0% | 60.0% | |
| 60.00% | 20 | 6.7 | 998 | 13,793 | 55.6% | 63.6% | |
| 45.00% | 20 | 1.3 | 851 | 13,582 | 55.6% | 36.4% | |
| 60.00% | 20 | 1.4 | 917 | 14,651 | 54.5% | 66.7% | |
| 55.00% | 20 | 7.0 | 1,011 | 13,387 | 44.4% | 63.6% | |
| 42.11% | 19 | 3.3 | 1,051 | 13,861 | 62.5% | 27.3% | |
| 68.42% | 19 | 1.2 | 1,027 | 16,326 | 66.7% | 69.2% | |
| 38.89% | 18 | 6.7 | 1,049 | 13,706 | 28.6% | 45.5% | |
| 47.06% | 17 | 1.2 | 802 | 13,807 | 50.0% | 45.5% | |
| 62.50% | 16 | 6.2 | 806 | 12,391 | 57.1% | 66.7% | |
| 66.67% | 15 | 4.4 | 992 | 13,321 | 100.0% | 37.5% | |
| 33.33% | 15 | 1.9 | 704 | 12,697 | 20.0% | 40.0% | |
| 46.67% | 15 | 1.9 | 773 | 14,802 | 40.0% | 50.0% | |
| 53.85% | 14 | 1.6 | 864 | 14,926 | 50.0% | 55.6% | |
| 42.86% | 14 | 1.7 | 805 | 15,175 | 75.0% | 30.0% | |
| 64.29% | 14 | 2.5 | 763 | 12,090 | 62.5% | 66.7% | |
| 61.54% | 13 | 1.6 | 862 | 15,180 | 75.0% | 55.6% | |
| 53.85% | 13 | 5.8 | 802 | 13,736 | 75.0% | 44.4% | |
| 53.85% | 13 | 2.7 | 780 | 14,052 | 60.0% | 50.0% | |
| 53.85% | 13 | 2.8 | 787 | 12,088 | 71.4% | 33.3% | |
| 50.00% | 12 | 2.6 | 808 | 12,808 | 28.6% | 80.0% | |
| 25.00% | 12 | 4.2 | 821 | 12,854 | 25.0% | 25.0% | |
| 54.55% | 11 | 6.4 | 974 | 15,453 | 0.0% | 54.5% | |
| 40.00% | 10 | 6.5 | 853 | 13,003 | 66.7% | 28.6% | |
| 30.00% | 10 | 5.6 | 879 | 11,513 | 25.0% | 33.3% | |
| 50.00% | 10 | 3.5 | 986 | 14,954 | 50.0% | 50.0% | |
| 37.50% | 8 | 7.0 | 1,084 | 16,238 | 0.0% | 50.0% | |
| 71.43% | 7 | 4.5 | 1,040 | 13,568 | 100.0% | 33.3% | |
| 71.43% | 7 | 6.9 | 858 | 12,923 | 50.0% | 100.0% | |
| 42.86% | 7 | 5.3 | 975 | 13,451 | 50.0% | 40.0% | |
| 71.43% | 7 | 6.7 | 873 | 13,518 | 50.0% | 100.0% | |
| 28.57% | 7 | 7.1 | 1,047 | 13,571 | 0.0% | 50.0% | |
| 42.86% | 7 | 5.8 | 747 | 11,774 | 25.0% | 66.7% | |
| 42.86% | 7 | 4.1 | 740 | 14,074 | 75.0% | 0.0% | |
| 66.67% | 6 | 1.4 | 1,087 | 18,602 | 100.0% | 60.0% | |
| 50.00% | 6 | 4.9 | 959 | 14,972 | 50.0% | 50.0% | |
| 33.33% | 6 | 5.6 | 954 | 14,169 | 0.0% | 66.7% | |
| 66.67% | 6 | 1.7 | 1,011 | 17,877 | 100.0% | 60.0% | |
| 40.00% | 5 | 6.7 | 992 | 14,513 | 100.0% | 25.0% | |
| 20.00% | 5 | 1.2 | 805 | 13,439 | 33.3% | 0.0% | |
| 40.00% | 5 | 6.8 | 1,061 | 16,121 | 0.0% | 50.0% | |
| 40.00% | 5 | 5.1 | 915 | 14,817 | 50.0% | 33.3% | |
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Talon vs Olaf - Frequently Asked Questions
How does Talon do against Olaf in League of Legends?
Talon wins the Talon vs Olaf matchup with a 66.7% win rate compared to Olaf's 33.3%, a 33.3 percentage point difference. This data is based on 6 recent ranked games in patch 26.4.
How does Talon do against Olaf in the early game?
In the early game, Talon has the advantage against Olaf with a 100.0% win rate versus 0.0%. Talon players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Talon do against Olaf in the late game?
In the late game, Talon takes over the Talon vs Olaf matchup with a 60.0% win rate compared to 40.0%. Talon scales better into team fights and objective contests after 25 minutes.
Who wins the Talon vs Olaf matchup?
Talon wins the matchup against Olaf with a 66.7% win rate in League of Legends patch 26.4. The 33.3 percentage point advantage means Talon is significantly favored in this lane matchup based on 6 games analyzed.
What is the best Talon build against Olaf?
The best Talon build against Olaf includes Axiom Arc, Serylda's Grudge, Edge of Night with Boots of Swiftness. This build achieves a 50.0% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Talon runes against Olaf?
The best Talon runes against Olaf use the Precision primary tree with Inspiration secondary. This rune setup achieves a 100.0% win rate in the Talon vs Olaf matchup. See the full rune breakdown in the matchup comparison above.
Does Talon counter Olaf?
Yes, Talon has a favorable matchup against Olaf with a 66.7% win rate. Talon strongly counters Olaf in lane based on current patch 26.4 data.
How do I play Talon against Olaf?
When playing Talon against Olaf, 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.
