
Ambessavs Smolder
Ambessa vs Smolder is a very close matchup in LoL patch 26.10. Ambessa wins with a 50.0% win rate (+0.0%) over Smolder based on 10 games. Ambessa wins the early laning phase while Smolder scales better into the late game. Below you'll find the best Ambessa build, runes, laning stats, and strategies for the Ambessa vs Smolder matchup.
Ambessa Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Ambessa 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 Ambessa vs Smolder Matchup?

Ambessa vs Smolder Matchup Summary
The Ambessa vs Smolder matchup is essentially a coin-flip matchup in League of Legends ranked play. Based on 10 recent matches analyzed, Ambessa wins with a 50.0% win rate compared to Smolder's 50.0%, giving Ambessa a 0.0 percentage point advantage. Game phase dynamics play a critical role here: Ambessa controls the early laning stage, but Smolder outscales as the game goes longer. The matchup shifts dramatically depending on game length — Ambessa needs to press advantages before Smolder reaches their power spikes, while Smolder should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in sustain, where Ambessa leads by 1,194 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Ambessa has a statistical edge, but the margin is close enough that respecting Smolder's strengths is important. Trade when cooldowns are favorable, track the enemy jungler, and build toward your strongest item spikes to convert the slight advantage into a decisive lead. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Ambessa vs Smolder Laning Phase Breakdown
Ambessa is favored during the laning phase against Smolder, winning 4 out of 5 key stat categories. Ambessa holds advantages in damage, gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Ambessa Build Against Smolder
Immortal Path is the optimal boots choice against Smolder, providing the mobility and stats Ambessa needs most in this matchup. The top-performing core items for Ambessa against Smolder are Voltaic Cyclosword, Profane Hydra and Axiom Arc. This combination gives Ambessa 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 Smolder. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Ambessa vs Smolder matchup.
Early Game vs Late Game
Ambessa dominates the early game (first 15 minutes) with a commanding 75.0% win rate — a 50.0 percentage point lead over Smolder. This lopsided early game means Ambessa can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Smolder is far superior in the late game (25+ minutes), boasting a 66.7% win rate — 33.3 points above Ambessa. Extended games heavily favor Smolder, whose kit and scaling make them a dominant force in team fights and objective control.
This matchup features a dramatic power shift: Ambessa must aggressively press their early advantage and close out the game before Smolder reaches their scaling breakpoints. If Smolder survives the laning phase without falling too far behind, the matchup flips in their favor. Dragon and Rift Herald control are pivotal — the team that secures early objectives can snowball or buy time to scale.
Best Ambessa Runes Against Smolder
The Domination primary with Inspiration secondary combination helps Ambessa maximize their potential in this closely contested matchup, providing the right mix of offensive and defensive tools to edge out Smolder.
Ambessa matchup data for League of Legends patch 26.10. The table below shows Ambessa'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 Ambessa 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 |
|---|---|---|---|---|---|---|---|
| 43.24% | 74 | 5.5 | 762 | 11,434 | 48.6% | 38.5% | |
| 35.62% | 73 | 6.2 | 851 | 11,188 | 26.7% | 41.9% | |
| 52.38% | 63 | 6.4 | 970 | 11,553 | 48.3% | 55.9% | |
| 48.33% | 60 | 1.4 | 810 | 14,234 | 55.0% | 45.0% | |
| 40.68% | 59 | 5.9 | 837 | 11,364 | 48.0% | 35.3% | |
| 43.10% | 58 | 5.4 | 768 | 11,539 | 43.5% | 42.9% | |
| 40.38% | 52 | 1.1 | 695 | 13,725 | 42.9% | 38.7% | |
| 57.69% | 52 | 2.9 | 975 | 12,907 | 57.1% | 58.3% | |
| 41.18% | 51 | 2.4 | 745 | 12,369 | 26.3% | 50.0% | |
| 48.00% | 50 | 2.2 | 812 | 12,968 | 50.0% | 46.9% | |
| 52.08% | 48 | 6.3 | 797 | 11,902 | 68.4% | 41.4% | |
| 41.67% | 48 | 1.7 | 668 | 12,041 | 42.9% | 40.7% | |
| 40.43% | 47 | 6.6 | 776 | 11,430 | 22.2% | 51.7% | |
| 46.81% | 47 | 6.5 | 851 | 10,150 | 46.7% | 47.1% | |
| 47.83% | 46 | 4.8 | 847 | 11,069 | 52.0% | 42.9% | |
| 44.44% | 45 | 1.8 | 748 | 13,434 | 52.9% | 39.3% | |
| 52.27% | 44 | 6.1 | 874 | 11,692 | 54.5% | 50.0% | |
| 47.62% | 42 | 6.1 | 1,372 | 12,765 | 29.4% | 60.0% | |
| 45.24% | 42 | 4.5 | 806 | 11,018 | 45.8% | 44.4% | |
| 48.78% | 41 | 5.6 | 955 | 12,268 | 41.2% | 54.2% | |
| 47.50% | 40 | 1.3 | 775 | 13,428 | 37.5% | 54.2% | |
| 48.72% | 39 | 6.4 | 1,156 | 13,437 | 88.9% | 36.7% | |
| 52.63% | 38 | 6.1 | 814 | 11,152 | 52.6% | 52.6% | |
| 45.95% | 37 | 1.2 | 696 | 12,167 | 50.0% | 42.9% | |
| 47.22% | 36 | 2.5 | 763 | 12,020 | 42.1% | 52.9% | |
| 38.89% | 36 | 6.1 | 883 | 10,899 | 35.3% | 42.1% | |
| 41.67% | 36 | 1.2 | 731 | 12,178 | 50.0% | 31.3% | |
| 57.14% | 35 | 6.2 | 873 | 12,453 | 71.4% | 47.6% | |
| 34.29% | 35 | 4.3 | 679 | 10,655 | 25.0% | 42.1% | |
| 47.06% | 34 | 7.2 | 929 | 12,039 | 28.6% | 60.0% | |
| 54.55% | 33 | 1.5 | 753 | 14,779 | 42.9% | 57.7% | |
| 54.55% | 33 | 6.3 | 957 | 11,857 | 57.1% | 52.6% | |
| 62.50% | 32 | 5.7 | 827 | 11,335 | 66.7% | 58.8% | |
| 65.63% | 32 | 6.4 | 954 | 12,781 | 50.0% | 72.7% | |
| 58.06% | 31 | 1.3 | 869 | 14,081 | 42.9% | 70.6% | |
| 43.33% | 30 | 5.8 | 971 | 12,468 | 28.6% | 56.3% | |
| 46.67% | 30 | 2.1 | 722 | 12,351 | 40.0% | 53.3% | |
| 46.67% | 30 | 6.2 | 735 | 10,626 | 50.0% | 42.9% | |
| 39.29% | 28 | 3.5 | 721 | 12,988 | 80.0% | 30.4% | |
| 50.00% | 28 | 6.5 | 872 | 12,267 | 70.0% | 38.9% | |
| 46.43% | 28 | 6.8 | 884 | 11,110 | 58.3% | 37.5% | |
| 40.74% | 27 | 6.2 | 962 | 10,738 | 53.3% | 25.0% | |
| 51.85% | 27 | 2.3 | 727 | 10,520 | 44.4% | 66.7% | |
| 40.00% | 25 | 1.3 | 712 | 13,393 | 50.0% | 33.3% | |
| 45.83% | 24 | 1.3 | 888 | 14,021 | 62.5% | 37.5% | |
| 54.17% | 24 | 5.9 | 846 | 10,598 | 66.7% | 33.3% | |
| 33.33% | 24 | 2.1 | 718 | 12,597 | 12.5% | 43.8% | |
| 65.22% | 23 | 4.6 | 860 | 11,452 | 69.2% | 60.0% | |
| 59.09% | 22 | 1.6 | 724 | 13,518 | 63.6% | 54.5% | |
| 38.10% | 21 | 5.3 | 940 | 12,053 | 42.9% | 35.7% | |
| 57.14% | 21 | 6.7 | 1,027 | 12,252 | 55.6% | 58.3% | |
| 42.86% | 21 | 6.3 | 942 | 12,658 | 50.0% | 40.0% | |
| 40.00% | 20 | 1.2 | 641 | 12,868 | 33.3% | 45.5% | |
| 55.00% | 20 | 6.1 | 849 | 11,225 | 50.0% | 58.3% | |
| 35.00% | 20 | 5.6 | 625 | 11,139 | 30.0% | 40.0% | |
| 40.00% | 20 | 1.1 | 729 | 12,180 | 45.5% | 33.3% | |
| 45.00% | 20 | 1.3 | 677 | 13,697 | 50.0% | 42.9% | |
| 42.11% | 19 | 1.9 | 645 | 12,580 | 30.0% | 55.6% | |
| 63.16% | 19 | 1.6 | 874 | 12,709 | 63.6% | 62.5% | |
| 42.11% | 19 | 6.0 | 793 | 9,414 | 45.5% | 37.5% | |
| 63.16% | 19 | 6.0 | 803 | 11,055 | 66.7% | 61.5% | |
| 42.11% | 19 | 5.7 | 706 | 9,499 | 27.3% | 62.5% | |
| 61.11% | 18 | 4.7 | 838 | 12,133 | 54.5% | 71.4% | |
| 50.00% | 18 | 1.7 | 967 | 14,809 | 33.3% | 58.3% | |
| 44.44% | 18 | 2.4 | 886 | 13,305 | 33.3% | 50.0% | |
| 50.00% | 18 | 6.3 | 886 | 11,764 | 44.4% | 55.6% | |
| 55.56% | 18 | 1.2 | 825 | 12,568 | 54.5% | 57.1% | |
| 35.29% | 17 | 6.3 | 758 | 9,944 | 37.5% | 33.3% | |
| 41.18% | 17 | 6.4 | 880 | 11,711 | 37.5% | 44.4% | |
| 37.50% | 16 | 4.9 | 694 | 10,642 | 37.5% | 37.5% | |
| 53.33% | 15 | 5.4 | 1,070 | 12,778 | 40.0% | 60.0% | |
| 40.00% | 15 | 0.9 | 665 | 13,224 | 37.5% | 42.9% | |
| 40.00% | 15 | 1.8 | 665 | 12,040 | 33.3% | 50.0% | |
| 28.57% | 14 | 5.3 | 646 | 10,749 | 33.3% | 25.0% | |
| 30.77% | 13 | 1.5 | 753 | 13,024 | 50.0% | 22.2% | |
| 38.46% | 13 | 1.8 | 842 | 12,889 | 20.0% | 50.0% | |
| 61.54% | 13 | 6.6 | 703 | 10,761 | 71.4% | 50.0% | |
| 61.54% | 13 | 5.2 | 1,005 | 10,986 | 71.4% | 50.0% | |
| 50.00% | 12 | 5.5 | 656 | 12,090 | 25.0% | 62.5% | |
| 50.00% | 12 | 2.1 | 774 | 13,584 | 0.0% | 60.0% | |
| 83.33% | 12 | 6.7 | 1,007 | 11,872 | 87.5% | 75.0% | |
| 33.33% | 12 | 6.0 | 850 | 10,939 | 40.0% | 28.6% | |
| 36.36% | 11 | 5.5 | 795 | 11,886 | 50.0% | 0.0% | |
| 45.45% | 11 | 1.3 | 662 | 12,540 | 66.7% | 37.5% | |
| 63.64% | 11 | 0.9 | 779 | 14,345 | 66.7% | 60.0% | |
| 40.00% | 10 | 6.0 | 976 | 13,286 | 50.0% | 33.3% | |
| 40.00% | 10 | 6.5 | 745 | 11,156 | 20.0% | 60.0% | |
| 40.00% | 10 | 6.4 | 812 | 13,821 | 100.0% | 25.0% | |
| 50.00% | 10 | 6.0 | 961 | 14,107 | 75.0% | 33.3% | |
| 77.78% | 9 | 1.0 | 865 | 13,282 | 100.0% | 66.7% | |
| 66.67% | 9 | 0.9 | 568 | 11,363 | 57.1% | 100.0% | |
| 44.44% | 9 | 1.6 | 666 | 12,955 | 50.0% | 40.0% | |
| 42.86% | 7 | 6.7 | 1,031 | 12,099 | 50.0% | 33.3% | |
| 71.43% | 7 | 6.2 | 898 | 8,006 | 66.7% | 75.0% | |
| 57.14% | 7 | 6.5 | 726 | 10,740 | 75.0% | 33.3% | |
| 33.33% | 6 | 7.3 | 1,026 | 12,181 | 50.0% | 0.0% | |
| 16.67% | 6 | 2.4 | 788 | 12,804 | 33.3% | 0.0% | |
| 16.67% | 6 | 6.2 | 614 | 11,346 | 0.0% | 33.3% | |
| 50.00% | 6 | 6.3 | 761 | 11,761 | 0.0% | 100.0% | |
| 16.67% | 6 | 5.3 | 956 | 11,269 | 25.0% | 0.0% | |
| 33.33% | 6 | 5.4 | 687 | 8,710 | 40.0% | 0.0% | |
| 40.00% | 5 | 6.6 | 1,191 | 11,800 | 100.0% | 0.0% | |
| 40.00% | 5 | 6.3 | 934 | 12,855 | 0.0% | 50.0% | |
| 60.00% | 5 | 5.7 | 686 | 11,176 | 0.0% | 75.0% | |
| 0.00% | 5 | 3.3 | 839 | 12,274 | 0.0% | 0.0% | |
| 40.00% | 5 | 7.1 | 853 | 9,344 | 50.0% | 0.0% | |
| 60.00% | 5 | 7.2 | 720 | 9,007 | 33.3% | 100.0% | |
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Ambessa vs Smolder - Frequently Asked Questions
How does Ambessa do against Smolder in League of Legends?
Ambessa wins the Ambessa vs Smolder matchup with a 50.0% win rate compared to Smolder's 50.0%, a 0.0 percentage point difference. This data is based on 10 recent ranked games in patch 26.10.
How does Ambessa do against Smolder in the early game?
In the early game, Ambessa has the advantage against Smolder with a 75.0% win rate versus 25.0%. Ambessa players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Ambessa do against Smolder in the late game?
In the late game, Smolder takes over the Ambessa vs Smolder matchup with a 66.7% win rate compared to 33.3%. Smolder scales better into team fights and objective contests after 25 minutes.
Who wins the Ambessa vs Smolder matchup?
Ambessa wins the matchup against Smolder with a 50.0% win rate in League of Legends patch 26.10. The 0.0 percentage point advantage means Ambessa is slightly favored in this lane matchup based on 10 games analyzed.
What is the best Ambessa build against Smolder?
The best Ambessa build against Smolder includes Voltaic Cyclosword, Profane Hydra, Axiom Arc with Immortal Path. 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 Ambessa runes against Smolder?
The best Ambessa runes against Smolder use the Domination primary tree with Inspiration secondary. This rune setup achieves a 100.0% win rate in the Ambessa vs Smolder matchup. See the full rune breakdown in the matchup comparison above.
Does Ambessa counter Smolder?
Yes, Ambessa has a favorable matchup against Smolder with a 50.0% win rate. Ambessa slightly edges out Smolder in lane based on current patch 26.10 data.
How do I play Ambessa against Smolder?
When playing Ambessa against Smolder, 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.
