Sylasvs Camille
Sylas vs Camille is a decisive matchup in LoL patch 26.10. Camille wins with a 80.0% win rate (+60.0%) over Sylas based on 5 games. Camille holds the advantage in both the early and late game. Below you'll find the best Sylas build, runes, laning stats, and strategies for the Sylas vs Camille matchup.
Sylas Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Sylas 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.
Camille(20.0%)Who Wins the Sylas vs Camille Matchup?
Sylas vs Camille Matchup Summary
The Sylas vs Camille matchup is a decisive matchup in League of Legends ranked play. Based on 5 recent matches analyzed, Camille wins with a 80.0% win rate compared to Sylas's 20.0%, giving Camille a 60.0 percentage point advantage. Camille dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Sylas players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in damage output, where Camille leads by 275 DMG/min — a difference that heavily influences the outcome of trades and skirmishes. Camille has a strong advantage in this matchup. Sylas players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Camille 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.
Sylas vs Camille Laning Phase Breakdown
Camille is favored during the laning phase against Sylas, winning 4 out of 5 key stat categories. Camille holds advantages in farming, damage, gold income and sustain, making them the stronger laner in this matchup.
Best Sylas Build Against Camille
Ionian Boots of Lucidity is the optimal boots choice against Camille, providing the mobility and stats Sylas needs most in this matchup. The top-performing core items for Sylas against Camille are Riftmaker, Frozen Heart and Heartsteel. This combination gives Sylas 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 Sylas vs Camille matchup.
Early Game vs Late Game
Sylas0.0%Camille100.0%Sylas25.0%Camille75.0%Camille dominates the early game (first 15 minutes) with a commanding 100.0% win rate — a 100.0 percentage point lead over Sylas. This lopsided early game means Camille can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Camille is far superior in the late game (25+ minutes), boasting a 75.0% win rate — 50.0 points above Sylas. Extended games heavily favor Camille, whose kit and scaling make them a dominant force in team fights and objective control.
Camille holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Sylas players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Sylas Runes Against Camille
Precision
Inspiration
The Precision and Inspiration rune setup gives Sylas the best tools to compete against Camille in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Sylas matchup data for League of Legends patch 26.10. The table below shows Sylas'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 Sylas 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 |
|---|---|---|---|---|---|---|---|
| 51.60% | 219 | 5.4 | 814 | 10,437 | 49.5% | 53.6% | |
| 43.96% | 182 | 5.0 | 821 | 10,870 | 40.5% | 47.3% | |
| 41.94% | 155 | 5.2 | 814 | 11,075 | 38.5% | 44.4% | |
| 54.97% | 151 | 5.2 | 864 | 11,621 | 59.7% | 51.2% | |
| 46.98% | 149 | 4.6 | 818 | 11,559 | 50.0% | 45.0% | |
| 42.95% | 149 | 5.3 | 880 | 10,816 | 32.4% | 51.9% | |
| 53.02% | 149 | 0.9 | 818 | 12,756 | 56.9% | 50.0% | |
| 41.78% | 146 | 5.2 | 751 | 11,622 | 37.3% | 44.8% | |
| 52.41% | 145 | 5.2 | 892 | 11,340 | 53.7% | 51.6% | |
| 55.00% | 120 | 3.6 | 800 | 11,388 | 61.8% | 46.1% | |
| 55.26% | 114 | 3.8 | 823 | 11,988 | 60.4% | 50.8% | |
| 47.32% | 112 | 1.0 | 724 | 12,454 | 47.8% | 47.0% | |
| 50.94% | 106 | 5.1 | 886 | 11,660 | 54.0% | 49.3% | |
| 47.12% | 104 | 0.9 | 734 | 12,745 | 59.5% | 40.3% | |
| 52.94% | 102 | 1.3 | 687 | 11,911 | 60.0% | 47.4% | |
| 39.00% | 100 | 1.3 | 732 | 12,285 | 46.1% | 31.3% | |
| 51.02% | 98 | 3.9 | 839 | 11,256 | 63.4% | 42.1% | |
| 55.67% | 97 | 5.5 | 844 | 11,102 | 46.0% | 66.0% | |
| 54.64% | 97 | 5.0 | 809 | 11,509 | 62.5% | 49.1% | |
| 60.42% | 96 | 2.7 | 907 | 12,286 | 61.0% | 60.0% | |
| 36.84% | 95 | 4.6 | 713 | 10,617 | 41.5% | 33.3% | |
| 50.00% | 92 | 5.5 | 919 | 11,541 | 56.8% | 43.8% | |
| 47.19% | 89 | 1.1 | 760 | 11,623 | 40.0% | 54.5% | |
| 55.29% | 85 | 3.2 | 821 | 11,574 | 51.4% | 58.3% | |
| 45.78% | 83 | 1.1 | 722 | 12,431 | 36.8% | 53.3% | |
| 55.00% | 80 | 1.1 | 701 | 11,712 | 47.5% | 62.5% | |
| 49.35% | 77 | 1.5 | 778 | 11,682 | 48.6% | 50.0% | |
| 54.55% | 77 | 0.8 | 719 | 12,706 | 54.5% | 54.5% | |
| 40.79% | 76 | 5.4 | 923 | 10,786 | 47.5% | 33.3% | |
| 39.47% | 76 | 4.4 | 840 | 11,251 | 42.3% | 38.0% | |
| 48.65% | 74 | 5.1 | 760 | 11,205 | 57.6% | 41.5% | |
| 43.84% | 73 | 5.1 | 652 | 9,390 | 41.0% | 47.1% | |
| 57.14% | 70 | 4.9 | 810 | 11,149 | 51.7% | 61.0% | |
| 55.38% | 65 | 5.6 | 865 | 11,146 | 55.2% | 55.6% | |
| 38.10% | 63 | 1.3 | 698 | 12,085 | 38.5% | 37.8% | |
| 50.85% | 59 | 5.4 | 828 | 11,393 | 74.1% | 31.3% | |
| 53.45% | 58 | 4.7 | 747 | 10,622 | 36.0% | 66.7% | |
| 42.11% | 57 | 1.0 | 708 | 12,290 | 44.0% | 40.6% | |
| 54.55% | 55 | 4.0 | 772 | 10,421 | 60.0% | 48.0% | |
| 66.04% | 53 | 1.7 | 813 | 13,248 | 68.0% | 64.3% | |
| 41.51% | 53 | 5.0 | 826 | 10,906 | 59.1% | 29.0% | |
| 60.78% | 51 | 1.3 | 825 | 10,958 | 57.6% | 66.7% | |
| 48.98% | 49 | 1.3 | 744 | 12,646 | 36.8% | 56.7% | |
| 65.31% | 49 | 5.4 | 812 | 11,569 | 76.2% | 57.1% | |
| 54.17% | 48 | 5.2 | 868 | 11,219 | 40.0% | 64.3% | |
| 64.58% | 48 | 5.0 | 782 | 10,940 | 68.4% | 62.1% | |
| 56.25% | 48 | 5.6 | 926 | 11,822 | 57.1% | 55.6% | |
| 52.17% | 46 | 2.1 | 686 | 10,656 | 63.6% | 41.7% | |
| 54.35% | 46 | 4.6 | 876 | 11,140 | 52.6% | 55.6% | |
| 48.89% | 45 | 0.9 | 731 | 10,947 | 45.8% | 52.4% | |
| 57.78% | 45 | 0.8 | 681 | 12,535 | 65.0% | 52.0% | |
| 50.00% | 44 | 0.8 | 730 | 11,673 | 50.0% | 50.0% | |
| 48.84% | 43 | 5.4 | 846 | 10,594 | 56.0% | 38.9% | |
| 50.00% | 42 | 3.7 | 747 | 10,575 | 55.0% | 45.5% | |
| 53.66% | 41 | 0.9 | 737 | 12,324 | 50.0% | 57.9% | |
| 52.50% | 40 | 4.7 | 848 | 10,785 | 56.0% | 46.7% | |
| 51.28% | 39 | 0.9 | 733 | 12,181 | 55.0% | 47.4% | |
| 48.72% | 39 | 1.5 | 753 | 12,323 | 46.7% | 50.0% | |
| 41.03% | 39 | 5.0 | 838 | 10,510 | 53.3% | 33.3% | |
| 53.85% | 39 | 5.2 | 838 | 11,510 | 64.7% | 45.5% | |
| 47.37% | 38 | 0.9 | 729 | 12,839 | 41.2% | 52.4% | |
| 67.57% | 37 | 4.7 | 803 | 9,836 | 69.2% | 66.7% | |
| 51.43% | 35 | 4.4 | 1,034 | 11,967 | 52.9% | 50.0% | |
| 67.65% | 34 | 5.2 | 828 | 11,395 | 46.1% | 81.0% | |
| 42.42% | 33 | 1.8 | 693 | 12,659 | 42.9% | 42.1% | |
| 39.39% | 33 | 2.9 | 717 | 11,094 | 25.0% | 52.9% | |
| 53.13% | 32 | 1.8 | 676 | 12,191 | 60.0% | 47.1% | |
| 50.00% | 32 | 1.1 | 689 | 11,883 | 58.8% | 40.0% | |
| 51.61% | 31 | 0.8 | 671 | 12,364 | 73.3% | 31.3% | |
| 38.71% | 31 | 4.8 | 817 | 11,155 | 46.1% | 33.3% | |
| 43.33% | 30 | 1.0 | 805 | 12,278 | 33.3% | 53.3% | |
| 53.33% | 30 | 5.3 | 834 | 9,987 | 62.5% | 42.9% | |
| 55.17% | 29 | 1.4 | 860 | 13,795 | 66.7% | 50.0% | |
| 37.93% | 29 | 3.8 | 767 | 11,412 | 25.0% | 47.1% | |
| 60.71% | 28 | 1.6 | 812 | 12,639 | 92.3% | 33.3% | |
| 39.29% | 28 | 4.0 | 795 | 11,516 | 35.7% | 42.9% | |
| 44.44% | 27 | 3.2 | 786 | 10,643 | 41.7% | 46.7% | |
| 48.15% | 27 | 1.4 | 789 | 12,231 | 50.0% | 47.1% | |
| 50.00% | 26 | 4.2 | 697 | 11,140 | 54.5% | 46.7% | |
| 64.00% | 25 | 5.3 | 763 | 10,285 | 78.6% | 45.5% | |
| 50.00% | 24 | 5.7 | 806 | 9,815 | 57.1% | 40.0% | |
| 43.48% | 23 | 3.4 | 791 | 10,429 | 33.3% | 50.0% | |
| 31.82% | 22 | 3.6 | 764 | 10,534 | 26.7% | 42.9% | |
| 59.09% | 22 | 0.9 | 705 | 10,999 | 57.1% | 62.5% | |
| 36.36% | 22 | 4.3 | 1,017 | 11,768 | 45.5% | 27.3% | |
| 42.86% | 21 | 2.9 | 734 | 10,039 | 50.0% | 33.3% | |
| 66.67% | 21 | 5.5 | 894 | 12,042 | 80.0% | 54.5% | |
| 57.14% | 21 | 5.0 | 887 | 10,530 | 58.3% | 55.6% | |
| 50.00% | 20 | 3.0 | 1,056 | 12,064 | 54.5% | 44.4% | |
| 55.00% | 20 | 0.8 | 687 | 11,617 | 60.0% | 50.0% | |
| 60.00% | 20 | 4.0 | 980 | 12,134 | 55.6% | 63.6% | |
| 50.00% | 20 | 3.3 | 787 | 10,707 | 72.7% | 22.2% | |
| 57.89% | 19 | 4.5 | 730 | 10,343 | 62.5% | 54.5% | |
| 57.89% | 19 | 2.7 | 837 | 11,971 | 60.0% | 55.6% | |
| 31.58% | 19 | 5.8 | 938 | 11,568 | 55.6% | 10.0% | |
| 15.79% | 19 | 1.6 | 705 | 10,720 | 9.1% | 25.0% | |
| 50.00% | 18 | 5.0 | 752 | 9,509 | 72.7% | 14.3% | |
| 56.25% | 16 | 5.4 | 936 | 11,165 | 42.9% | 66.7% | |
| 68.75% | 16 | 1.6 | 711 | 11,101 | 50.0% | 87.5% | |
| 68.75% | 16 | 4.4 | 831 | 10,792 | 66.7% | 71.4% | |
| 50.00% | 16 | 5.0 | 798 | 8,920 | 25.0% | 75.0% | |
| 56.25% | 16 | 3.7 | 795 | 10,442 | 66.7% | 50.0% | |
| 56.25% | 16 | 5.2 | 908 | 9,654 | 45.5% | 80.0% | |
| 40.00% | 15 | 1.4 | 617 | 10,282 | 50.0% | 33.3% | |
| 60.00% | 15 | 3.5 | 749 | 9,956 | 33.3% | 77.8% | |
| 53.33% | 15 | 1.4 | 595 | 9,914 | 57.1% | 50.0% | |
| 46.67% | 15 | 1.1 | 711 | 13,891 | 40.0% | 50.0% | |
| 57.14% | 14 | 1.5 | 827 | 11,831 | 85.7% | 28.6% | |
| 50.00% | 14 | 1.1 | 900 | 12,135 | 57.1% | 42.9% | |
| 28.57% | 14 | 1.3 | 573 | 9,417 | 33.3% | 25.0% | |
| 69.23% | 13 | 2.8 | 873 | 10,356 | 66.7% | 71.4% | |
| 61.54% | 13 | 4.1 | 833 | 8,852 | 55.6% | 75.0% | |
| 46.15% | 13 | 1.1 | 664 | 10,879 | 33.3% | 57.1% | |
| 38.46% | 13 | 1.4 | 725 | 11,554 | 20.0% | 50.0% | |
| 46.15% | 13 | 2.0 | 684 | 11,598 | 25.0% | 55.6% | |
| 75.00% | 12 | 3.4 | 1,006 | 12,273 | 100.0% | 62.5% | |
| 50.00% | 12 | 4.9 | 806 | 12,235 | 50.0% | 50.0% | |
| 58.33% | 12 | 3.2 | 857 | 10,710 | 50.0% | 62.5% | |
| 54.55% | 11 | 3.8 | 829 | 12,406 | 40.0% | 66.7% | |
| 72.73% | 11 | 1.4 | 708 | 9,864 | 100.0% | 40.0% | |
| 36.36% | 11 | 1.9 | 776 | 11,230 | 60.0% | 16.7% | |
| 63.64% | 11 | 2.3 | 989 | 11,438 | 66.7% | 60.0% | |
| 70.00% | 10 | 5.5 | 849 | 11,743 | 80.0% | 60.0% | |
| 10.00% | 10 | 0.9 | 481 | 11,440 | 20.0% | 0.0% | |
| 40.00% | 10 | 4.4 | 658 | 10,846 | 0.0% | 57.1% | |
| 77.78% | 9 | 3.7 | 1,071 | 12,091 | 50.0% | 100.0% | |
| 33.33% | 9 | 1.8 | 658 | 9,841 | 0.0% | 50.0% | |
| 55.56% | 9 | 1.9 | 758 | 11,472 | 50.0% | 57.1% | |
| 37.50% | 8 | 4.5 | 767 | 12,234 | 50.0% | 33.3% | |
| 37.50% | 8 | 1.6 | 552 | 9,332 | 40.0% | 33.3% | |
| 75.00% | 8 | 1.6 | 691 | 10,823 | 100.0% | 60.0% | |
| 62.50% | 8 | 1.6 | 620 | 7,723 | 83.3% | 0.0% | |
| 12.50% | 8 | 1.3 | 635 | 10,449 | 0.0% | 16.7% | |
| 42.86% | 7 | 4.8 | 850 | 7,963 | 40.0% | 50.0% | |
| 57.14% | 7 | 1.9 | 697 | 10,358 | 100.0% | 50.0% | |
| 42.86% | 7 | 4.5 | 929 | 10,996 | 0.0% | 60.0% | |
| 57.14% | 7 | 2.5 | 680 | 11,771 | 50.0% | 66.7% | |
| 71.43% | 7 | 5.1 | 1,141 | 14,766 | 100.0% | 66.7% | |
| 42.86% | 7 | 6.6 | 966 | 12,295 | 0.0% | 60.0% | |
| 28.57% | 7 | 4.7 | 644 | 9,174 | 50.0% | 20.0% | |
| 33.33% | 6 | 5.1 | 619 | 9,991 | 50.0% | 0.0% | |
| 33.33% | 6 | 5.0 | 750 | 10,670 | 0.0% | 50.0% | |
| 50.00% | 6 | 1.2 | 697 | 12,232 | 0.0% | 60.0% | |
| 50.00% | 6 | 5.4 | 869 | 10,371 | 33.3% | 66.7% | |
| 16.67% | 6 | 5.5 | 765 | 10,988 | 50.0% | 0.0% | |
| 50.00% | 6 | 4.5 | 764 | 10,498 | 33.3% | 66.7% | |
| 16.67% | 6 | 1.3 | 782 | 13,424 | 0.0% | 20.0% | |
| 80.00% | 5 | 5.5 | 882 | 13,511 | 0.0% | 100.0% | |
| 20.00% | 5 | 5.5 | 783 | 10,950 | 33.3% | 0.0% | |
| 20.00% | 5 | 4.1 | 592 | 11,720 | 0.0% | 25.0% | |
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Sylas vs Camille - Frequently Asked Questions
How does Sylas do against Camille in League of Legends?
Camille wins the Sylas vs Camille matchup with a 80.0% win rate compared to Sylas's 20.0%, a 60.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.10.
How does Sylas do against Camille in the early game?
In the early game, Camille has the advantage against Sylas with a 100.0% win rate versus 0.0%. Camille players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Sylas do against Camille in the late game?
In the late game, Camille takes over the Sylas vs Camille matchup with a 75.0% win rate compared to 25.0%. Camille scales better into team fights and objective contests after 25 minutes.
Who wins the Sylas vs Camille matchup?
Camille wins the matchup against Sylas with a 80.0% win rate in League of Legends patch 26.10. The 60.0 percentage point advantage means Camille is significantly favored in this lane matchup based on 5 games analyzed.
What is the best Sylas build against Camille?
The best Sylas build against Camille includes Riftmaker, Frozen Heart, Heartsteel with Ionian Boots of Lucidity. Check the matchup breakdown above for the full item path and build order.
What are the best Sylas runes against Camille?
The best Sylas runes against Camille use the Precision primary tree with Inspiration secondary. This rune setup achieves a 100.0% win rate in the Sylas vs Camille matchup. See the full rune breakdown in the matchup comparison above.
Does Sylas counter Camille?
No, Sylas struggles against Camille with only a 20.0% win rate. Camille has the advantage in this matchup. Sylas players should focus on safe farming and avoiding extended trades to minimize Camille's lead.
How do I play Sylas against Camille?
When playing Sylas against Camille, play cautiously and avoid Camille's power spikes. Look for jungle assistance and team-dependent plays since Camille has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.