
Settvs Leona
Sett vs Leona is a decisive matchup in LoL patch 26.10. Leona wins with a 66.7% win rate (+33.3%) over Sett based on 9 games. Leona wins the early laning phase while Sett scales better into the late game. Below you'll find the best Sett build, runes, laning stats, and strategies for the Sett vs Leona matchup.
Sett Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Sett 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 Sett vs Leona Matchup?

Sett vs Leona Matchup Summary
The Sett vs Leona matchup is a decisive matchup in League of Legends ranked play. Based on 9 recent matches analyzed, Leona wins with a 66.7% win rate compared to Sett's 33.3%, giving Leona a 33.3 percentage point advantage. Game phase dynamics play a critical role here: Leona controls the early laning stage, but Sett outscales as the game goes longer. The matchup shifts dramatically depending on game length — Leona needs to press advantages before Sett reaches their power spikes, while Sett should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Leona leads by 1.2s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Leona has a strong advantage in this matchup. Sett players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Leona overextending. Avoid prolonged trades and wait for team fights where positioning and coordination matter more. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Sett vs Leona Laning Phase Breakdown
Sett is favored during the laning phase against Leona, winning 3 out of 5 key stat categories. Sett holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Sett Build Against Leona
Boots of Swiftness is the optimal boots choice against Leona, providing the mobility and stats Sett needs most in this matchup. The top-performing core items for Sett against Leona are Stridebreaker, Blade of The Ruined King and Warmog's Armor. This combination gives Sett 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 Leona. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Sett vs Leona matchup.
Early Game vs Late Game
Leona dominates the early game (first 15 minutes) with a commanding 80.0% win rate — a 60.0 percentage point lead over Sett. This lopsided early game means Leona 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 Sett at 50.0% win rate — only 0.0 points ahead of Leona. Team fight execution and macro play determine the winner at this stage, not champion matchup advantage.
The power dynamics shift as the game progresses — Leona has the edge early, but Sett gradually takes over. However, the margins are slim enough that either champion can win at any stage with the right plays. Focus on taking advantages when you have them rather than waiting for a specific game phase.
Best Sett Runes Against Leona
The Precision and Resolve rune setup gives Sett the best tools to compete against Leona in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Sett matchup data for League of Legends patch 26.10. The table below shows Sett'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 Sett 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 |
|---|---|---|---|---|---|---|---|
| 50.69% | 288 | 6.4 | 1,000 | 12,551 | 42.7% | 56.1% | |
| 51.83% | 218 | 5.9 | 955 | 12,086 | 52.6% | 51.2% | |
| 48.85% | 217 | 5.7 | 898 | 11,821 | 42.2% | 53.5% | |
| 42.36% | 203 | 5.5 | 784 | 12,156 | 41.7% | 42.7% | |
| 46.99% | 166 | 6.2 | 800 | 11,545 | 47.2% | 46.8% | |
| 48.32% | 149 | 6.1 | 925 | 11,219 | 44.9% | 51.3% | |
| 53.24% | 139 | 6.2 | 928 | 11,333 | 48.3% | 56.8% | |
| 52.90% | 138 | 5.7 | 966 | 11,415 | 50.0% | 55.3% | |
| 45.31% | 128 | 6.4 | 1,319 | 11,741 | 50.0% | 42.3% | |
| 45.45% | 121 | 6.2 | 918 | 11,961 | 35.4% | 52.0% | |
| 52.21% | 113 | 6.1 | 900 | 12,353 | 45.8% | 56.9% | |
| 47.42% | 97 | 6.5 | 1,198 | 13,365 | 37.8% | 53.3% | |
| 52.13% | 94 | 6.2 | 1,039 | 12,978 | 60.0% | 47.5% | |
| 50.55% | 91 | 6.0 | 916 | 11,777 | 56.8% | 44.7% | |
| 50.55% | 91 | 5.9 | 1,130 | 12,500 | 57.6% | 46.5% | |
| 53.93% | 89 | 6.5 | 986 | 12,236 | 53.9% | 54.0% | |
| 44.19% | 86 | 6.2 | 962 | 11,285 | 46.5% | 41.9% | |
| 51.76% | 85 | 6.3 | 1,077 | 12,749 | 53.7% | 50.0% | |
| 54.88% | 82 | 5.9 | 823 | 11,049 | 52.5% | 57.1% | |
| 55.56% | 81 | 6.1 | 788 | 11,519 | 56.4% | 54.8% | |
| 55.84% | 77 | 5.7 | 862 | 10,678 | 47.5% | 64.9% | |
| 55.41% | 74 | 6.0 | 880 | 12,199 | 50.0% | 59.5% | |
| 45.21% | 73 | 5.3 | 782 | 11,156 | 48.6% | 42.1% | |
| 53.52% | 71 | 6.1 | 910 | 11,756 | 58.3% | 48.6% | |
| 48.57% | 70 | 5.5 | 723 | 11,691 | 39.4% | 56.8% | |
| 51.43% | 70 | 5.8 | 1,114 | 12,551 | 54.5% | 50.0% | |
| 58.82% | 68 | 6.6 | 944 | 11,788 | 63.6% | 54.3% | |
| 48.53% | 68 | 6.9 | 912 | 12,307 | 54.5% | 42.9% | |
| 47.62% | 63 | 6.0 | 897 | 11,495 | 51.7% | 44.1% | |
| 58.06% | 62 | 5.8 | 909 | 11,551 | 51.5% | 65.5% | |
| 50.85% | 59 | 5.9 | 824 | 11,635 | 40.9% | 56.8% | |
| 57.63% | 59 | 6.2 | 930 | 11,766 | 62.1% | 53.3% | |
| 50.88% | 57 | 5.9 | 928 | 11,673 | 36.0% | 62.5% | |
| 38.18% | 55 | 6.0 | 1,038 | 12,441 | 35.0% | 40.0% | |
| 58.82% | 51 | 6.2 | 943 | 12,570 | 47.6% | 66.7% | |
| 48.94% | 47 | 6.4 | 980 | 12,097 | 53.3% | 41.2% | |
| 48.84% | 43 | 6.7 | 918 | 12,129 | 45.0% | 52.2% | |
| 44.19% | 43 | 5.3 | 880 | 11,609 | 45.0% | 43.5% | |
| 63.41% | 41 | 5.8 | 1,103 | 12,696 | 53.9% | 67.9% | |
| 50.00% | 38 | 5.9 | 985 | 12,405 | 52.4% | 47.1% | |
| 44.74% | 38 | 5.9 | 772 | 12,584 | 45.5% | 44.4% | |
| 27.78% | 36 | 5.6 | 663 | 10,972 | 26.7% | 28.6% | |
| 44.44% | 36 | 6.0 | 794 | 12,172 | 41.7% | 45.8% | |
| 42.86% | 35 | 6.5 | 1,037 | 12,731 | 46.1% | 40.9% | |
| 55.17% | 29 | 5.6 | 908 | 13,150 | 50.0% | 57.1% | |
| 28.57% | 28 | 5.8 | 829 | 11,927 | 41.7% | 18.8% | |
| 53.57% | 28 | 5.6 | 748 | 11,005 | 50.0% | 55.6% | |
| 44.44% | 27 | 5.6 | 785 | 11,276 | 50.0% | 41.2% | |
| 57.69% | 26 | 6.3 | 892 | 13,163 | 50.0% | 62.5% | |
| 60.00% | 25 | 6.4 | 1,066 | 12,963 | 71.4% | 55.6% | |
| 52.00% | 25 | 6.6 | 833 | 10,551 | 53.9% | 50.0% | |
| 36.00% | 25 | 6.1 | 803 | 12,687 | 25.0% | 41.2% | |
| 65.22% | 23 | 5.9 | 933 | 12,146 | 72.7% | 58.3% | |
| 66.67% | 18 | 4.9 | 819 | 12,871 | 42.9% | 81.8% | |
| 88.89% | 18 | 5.1 | 833 | 11,212 | 80.0% | 100.0% | |
| 47.06% | 17 | 4.9 | 919 | 11,824 | 55.6% | 37.5% | |
| 50.00% | 16 | 5.5 | 779 | 10,412 | 57.1% | 44.4% | |
| 43.75% | 16 | 4.8 | 881 | 11,965 | 33.3% | 50.0% | |
| 53.33% | 15 | 4.2 | 785 | 12,448 | 50.0% | 54.5% | |
| 64.29% | 14 | 3.5 | 831 | 13,051 | 80.0% | 55.6% | |
| 69.23% | 13 | 5.9 | 670 | 10,930 | 60.0% | 75.0% | |
| 46.15% | 13 | 5.5 | 1,063 | 15,922 | 100.0% | 41.7% | |
| 46.15% | 13 | 6.1 | 545 | 10,314 | 50.0% | 42.9% | |
| 41.67% | 12 | 5.8 | 790 | 10,481 | 50.0% | 25.0% | |
| 18.18% | 11 | 6.1 | 628 | 11,516 | 0.0% | 33.3% | |
| 54.55% | 11 | 5.8 | 800 | 12,061 | 66.7% | 50.0% | |
| 63.64% | 11 | 4.7 | 812 | 12,444 | 40.0% | 83.3% | |
| 50.00% | 10 | 2.6 | 1,006 | 13,557 | 50.0% | 50.0% | |
| 60.00% | 10 | 5.8 | 756 | 10,783 | 75.0% | 50.0% | |
| 70.00% | 10 | 5.6 | 928 | 13,623 | 66.7% | 71.4% | |
| 33.33% | 9 | 5.9 | 870 | 11,732 | 0.0% | 60.0% | |
| 33.33% | 9 | 5.3 | 939 | 9,438 | 20.0% | 50.0% | |
| 55.56% | 9 | 2.2 | 690 | 10,367 | 40.0% | 75.0% | |
| 33.33% | 9 | 2.3 | 634 | 9,124 | 20.0% | 50.0% | |
| 50.00% | 8 | 5.0 | 1,094 | 11,204 | 100.0% | 33.3% | |
| 37.50% | 8 | 5.0 | 891 | 14,108 | 50.0% | 33.3% | |
| 62.50% | 8 | 5.6 | 1,039 | 10,808 | 25.0% | 100.0% | |
| 50.00% | 8 | 4.9 | 894 | 11,723 | 50.0% | 50.0% | |
| 62.50% | 8 | 5.2 | 747 | 10,598 | 50.0% | 75.0% | |
| 62.50% | 8 | 2.3 | 609 | 10,185 | 66.7% | 60.0% | |
| 50.00% | 8 | 6.7 | 955 | 12,999 | 50.0% | 50.0% | |
| 50.00% | 8 | 2.1 | 849 | 14,448 | 0.0% | 66.7% | |
| 25.00% | 8 | 1.9 | 673 | 10,629 | 0.0% | 50.0% | |
| 37.50% | 8 | 7.4 | 714 | 11,735 | 33.3% | 40.0% | |
| 42.86% | 7 | 1.7 | 767 | 9,980 | 66.7% | 25.0% | |
| 42.86% | 7 | 2.1 | 648 | 10,233 | 75.0% | 0.0% | |
| 57.14% | 7 | 2.1 | 465 | 9,955 | 100.0% | 25.0% | |
| 71.43% | 7 | 2.2 | 582 | 10,315 | 66.7% | 75.0% | |
| 42.86% | 7 | 5.4 | 767 | 11,635 | 0.0% | 60.0% | |
| 57.14% | 7 | 6.2 | 703 | 6,983 | 60.0% | 50.0% | |
| 28.57% | 7 | 3.7 | 678 | 10,891 | 50.0% | 20.0% | |
| 33.33% | 6 | 4.5 | 527 | 11,790 | 66.7% | 0.0% | |
| 66.67% | 6 | 3.3 | 957 | 13,923 | 50.0% | 75.0% | |
| 50.00% | 6 | 5.3 | 770 | 11,167 | 100.0% | 25.0% | |
| 66.67% | 6 | 4.0 | 786 | 11,756 | 100.0% | 60.0% | |
| 33.33% | 6 | 3.8 | 982 | 12,250 | 50.0% | 25.0% | |
| 33.33% | 6 | 6.5 | 816 | 12,288 | 50.0% | 0.0% | |
| 16.67% | 6 | 5.6 | 500 | 8,391 | 20.0% | 0.0% | |
| 66.67% | 6 | 5.9 | 860 | 16,910 | 100.0% | 60.0% | |
| 33.33% | 6 | 1.8 | 653 | 11,493 | 33.3% | 33.3% | |
| 40.00% | 5 | 3.5 | 623 | 11,880 | 0.0% | 50.0% | |
| 20.00% | 5 | 5.0 | 706 | 8,713 | 0.0% | 100.0% | |
| 40.00% | 5 | 6.5 | 762 | 14,401 | 0.0% | 40.0% | |
| 20.00% | 5 | 2.7 | 769 | 10,210 | 25.0% | 0.0% | |
| 40.00% | 5 | 4.3 | 506 | 9,798 | 0.0% | 50.0% | |
| 80.00% | 5 | 2.6 | 558 | 10,507 | 50.0% | 100.0% | |
| 60.00% | 5 | 3.4 | 712 | 13,714 | 0.0% | 60.0% | |
| 40.00% | 5 | 2.6 | 594 | 9,842 | 50.0% | 33.3% | |
| 40.00% | 5 | 3.2 | 660 | 8,744 | 50.0% | 33.3% | |
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Sett vs Leona - Frequently Asked Questions
How does Sett do against Leona in League of Legends?
Leona wins the Sett vs Leona matchup with a 66.7% win rate compared to Sett's 33.3%, a 33.3 percentage point difference. This data is based on 9 recent ranked games in patch 26.10.
How does Sett do against Leona in the early game?
In the early game, Leona has the advantage against Sett with a 80.0% win rate versus 20.0%. Leona players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Sett do against Leona in the late game?
In the late game, Sett takes over the Sett vs Leona matchup with a 50.0% win rate compared to 50.0%. Sett scales better into team fights and objective contests after 25 minutes.
Who wins the Sett vs Leona matchup?
Leona wins the matchup against Sett with a 66.7% win rate in League of Legends patch 26.10. The 33.3 percentage point advantage means Leona is significantly favored in this lane matchup based on 9 games analyzed.
What is the best Sett build against Leona?
The best Sett build against Leona includes Stridebreaker, Blade of The Ruined King, Warmog's Armor with Boots of Swiftness. 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 Sett runes against Leona?
The best Sett runes against Leona use the Precision primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Sett vs Leona matchup. See the full rune breakdown in the matchup comparison above.
Does Sett counter Leona?
No, Sett struggles against Leona with only a 33.3% win rate. Leona has the advantage in this matchup. Sett players should focus on safe farming and avoiding extended trades to minimize Leona's lead.
How do I play Sett against Leona?
When playing Sett against Leona, play cautiously and avoid Leona's power spikes. Focus on safe farming — you outscale Leona in the late game. Use the matchup-specific build and runes above to optimize your chances.