Ambessavs Olaf
Ambessa vs Olaf is a decisive matchup in LoL patch 26.14. Ambessa wins with a 60.0% win rate (+20.0%) over Olaf based on 10 games. Ambessa holds the advantage in both the early and late game. Below you'll find the best Ambessa build, runes, laning stats, and strategies for the Ambessa vs Olaf 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 Olaf Matchup?
Ambessa vs Olaf Matchup Summary
The Ambessa vs Olaf matchup is a decisive matchup in League of Legends ranked play. Based on 10 recent matches analyzed, Ambessa wins with a 60.0% win rate compared to Olaf's 40.0%, giving Ambessa a 20.0 percentage point advantage. Ambessa 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 crowd control, where Olaf leads by 0.1s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Ambessa 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.
Ambessa vs Olaf Laning Phase Breakdown
Olaf is favored during the laning phase against Ambessa, winning 5 out of 5 key stat categories. Olaf holds advantages in farming, damage, gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Ambessa Build Against Olaf
Mercury's Treads is the optimal boots choice against Olaf, providing the mobility and stats Ambessa needs most in this matchup. The top-performing core items for Ambessa against Olaf are Eclipse, Death's Dance and Spear of Shojin. 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 2 games — well above average and making it the top item path against Olaf. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Ambessa vs Olaf matchup.
Early Game vs Late Game
Ambessa66.7%
Olaf33.3%Ambessa50.0%Olaf50.0%Ambessa dominates the early game (first 15 minutes) with a commanding 66.7% win rate — a 33.3 percentage point lead over Olaf. This lopsided early game means Ambessa 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 Ambessa at 50.0% win rate — only 0.0 points ahead of Olaf. Team fight execution and macro play determine the winner at this stage, not champion matchup advantage.
Ambessa 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 Ambessa Runes Against Olaf
Precision
Resolve
Running Precision primary with Resolve secondary allows Ambessa to press their advantage against Olaf, amplifying the strengths that make this a favorable matchup.
Ambessa matchup data for League of Legends patch 26.14. 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 |
|---|---|---|---|---|---|---|---|
| 36.59% | 41 | 6.0 | 935 | 11,674 | 23.1% | 42.9% | |
| 33.33% | 36 | 6.7 | 890 | 10,315 | 29.4% | 36.8% | |
| 52.78% | 36 | 5.7 | 839 | 10,135 | 20.0% | 76.2% | |
| 34.62% | 26 | 3.5 | 742 | 10,737 | 53.9% | 15.4% | |
| 73.08% | 26 | 5.8 | 834 | 13,078 | 75.0% | 72.2% | |
| 48.00% | 25 | 6.0 | 839 | 11,216 | 50.0% | 47.4% | |
| 36.00% | 25 | 6.3 | 704 | 11,135 | 50.0% | 26.7% | |
| 54.17% | 24 | 4.8 | 879 | 11,368 | 50.0% | 56.3% | |
| 45.83% | 24 | 3.1 | 825 | 12,521 | 40.0% | 50.0% | |
| 54.55% | 22 | 6.3 | 749 | 11,381 | 44.4% | 61.5% | |
| 47.62% | 21 | 5.2 | 699 | 12,922 | 50.0% | 47.1% | |
| 33.33% | 18 | 6.4 | 760 | 8,916 | 22.2% | 44.4% | |
| 27.78% | 18 | 5.8 | 916 | 13,805 | 50.0% | 21.4% | |
| 50.00% | 18 | 2.2 | 920 | 14,162 | 60.0% | 46.1% | |
| 50.00% | 18 | 5.0 | 796 | 11,181 | 57.1% | 45.5% | |
| 55.56% | 18 | 5.6 | 924 | 9,282 | 55.6% | 55.6% | |
| 50.00% | 18 | 6.4 | 1,176 | 13,129 | 75.0% | 42.9% | |
| 52.94% | 17 | 1.0 | 763 | 12,488 | 42.9% | 60.0% | |
| 88.24% | 17 | 6.9 | 1,035 | 13,445 | 85.7% | 90.0% | |
| 47.06% | 17 | 6.1 | 1,318 | 11,519 | 0.0% | 61.5% | |
| 41.18% | 17 | 4.8 | 934 | 11,845 | 25.0% | 46.1% | |
| 50.00% | 16 | 6.2 | 963 | 11,123 | 42.9% | 55.6% | |
| 62.50% | 16 | 1.5 | 635 | 11,023 | 57.1% | 66.7% | |
| 50.00% | 16 | 1.5 | 850 | 12,521 | 33.3% | 60.0% | |
| 53.33% | 15 | 5.3 | 903 | 11,386 | 33.3% | 66.7% | |
| 28.57% | 14 | 6.1 | 906 | 11,712 | 20.0% | 33.3% | |
| 53.85% | 13 | 6.1 | 788 | 11,318 | 40.0% | 62.5% | |
| 61.54% | 13 | 5.6 | 839 | 10,337 | 66.7% | 57.1% | |
| 61.54% | 13 | 6.1 | 1,035 | 13,492 | 75.0% | 55.6% | |
| 53.85% | 13 | 5.2 | 841 | 9,669 | 62.5% | 40.0% | |
| 38.46% | 13 | 6.0 | 1,024 | 8,901 | 33.3% | 50.0% | |
| 46.15% | 13 | 1.0 | 760 | 13,680 | 66.7% | 40.0% | |
| 23.08% | 13 | 2.4 | 764 | 12,469 | 40.0% | 12.5% | |
| 23.08% | 13 | 6.2 | 806 | 12,013 | 0.0% | 27.3% | |
| 38.46% | 13 | 5.0 | 904 | 13,299 | 0.0% | 45.5% | |
| 41.67% | 12 | 5.4 | 907 | 11,523 | 0.0% | 62.5% | |
| 75.00% | 12 | 7.2 | 903 | 13,490 | 66.7% | 77.8% | |
| 58.33% | 12 | 5.3 | 740 | 10,446 | 80.0% | 42.9% | |
| 50.00% | 12 | 5.9 | 734 | 10,117 | 20.0% | 71.4% | |
| 50.00% | 12 | 6.8 | 774 | 12,428 | 66.7% | 44.4% | |
| 50.00% | 12 | 6.4 | 1,063 | 11,664 | 50.0% | 50.0% | |
| 36.36% | 11 | 5.7 | 640 | 8,649 | 28.6% | 50.0% | |
| 36.36% | 11 | 1.7 | 697 | 11,049 | 42.9% | 25.0% | |
| 63.64% | 11 | 6.0 | 1,049 | 11,807 | 66.7% | 62.5% | |
| 27.27% | 11 | 1.7 | 824 | 14,801 | 25.0% | 28.6% | |
| 45.45% | 11 | 2.0 | 1,002 | 14,119 | 66.7% | 37.5% | |
| 70.00% | 10 | 6.3 | 917 | 10,792 | 66.7% | 75.0% | |
| 60.00% | 10 | 5.6 | 917 | 9,589 | 50.0% | 66.7% | |
| 30.00% | 10 | 5.2 | 869 | 11,804 | 0.0% | 33.3% | |
| 60.00% | 10 | 5.3 | 803 | 10,754 | 66.7% | 50.0% | |
| 50.00% | 10 | 1.8 | 834 | 11,425 | 57.1% | 33.3% | |
| 50.00% | 10 | 6.4 | 828 | 12,032 | 60.0% | 40.0% | |
| 50.00% | 10 | 4.6 | 608 | 10,369 | 37.5% | 100.0% | |
| 22.22% | 9 | 5.6 | 1,036 | 13,047 | 0.0% | 28.6% | |
| 55.56% | 9 | 1.8 | 918 | 16,068 | 100.0% | 50.0% | |
| 44.44% | 9 | 1.9 | 696 | 10,345 | 50.0% | 40.0% | |
| 33.33% | 9 | 1.9 | 583 | 10,170 | 0.0% | 50.0% | |
| 22.22% | 9 | 0.7 | 572 | 10,724 | 50.0% | 0.0% | |
| 44.44% | 9 | 6.3 | 1,191 | 10,460 | 40.0% | 50.0% | |
| 62.50% | 8 | 1.1 | 1,001 | 14,187 | 50.0% | 75.0% | |
| 71.43% | 7 | 5.1 | 937 | 11,104 | 50.0% | 80.0% | |
| 57.14% | 7 | 6.9 | 945 | 14,316 | 100.0% | 40.0% | |
| 57.14% | 7 | 5.9 | 716 | 11,276 | 50.0% | 60.0% | |
| 85.71% | 7 | 0.9 | 742 | 12,264 | 66.7% | 100.0% | |
| 71.43% | 7 | 6.0 | 710 | 9,910 | 50.0% | 100.0% | |
| 28.57% | 7 | 6.0 | 660 | 11,381 | 0.0% | 40.0% | |
| 66.67% | 6 | 3.0 | 901 | 16,292 | 100.0% | 60.0% | |
| 50.00% | 6 | 2.0 | 871 | 11,520 | 50.0% | 50.0% | |
| 33.33% | 6 | 6.3 | 949 | 11,492 | 0.0% | 40.0% | |
| 50.00% | 6 | 6.6 | 1,243 | 12,180 | 100.0% | 40.0% | |
| 33.33% | 6 | 5.3 | 779 | 12,165 | 0.0% | 66.7% | |
| 40.00% | 5 | 7.2 | 768 | 9,489 | 50.0% | 33.3% | |
| 60.00% | 5 | 1.6 | 1,212 | 16,699 | 100.0% | 50.0% | |
| 60.00% | 5 | 6.3 | 1,304 | 9,881 | 66.7% | 50.0% | |
| 60.00% | 5 | 6.2 | 1,007 | 11,336 | 33.3% | 100.0% | |
| 40.00% | 5 | 1.4 | 551 | 12,236 | 33.3% | 50.0% | |
| 80.00% | 5 | 2.5 | 1,069 | 16,822 | 100.0% | 75.0% | |
| 60.00% | 5 | 6.1 | 985 | 11,178 | 0.0% | 100.0% | |
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Ambessa vs Olaf - Frequently Asked Questions
How does Ambessa do against Olaf in League of Legends?
Ambessa wins the Ambessa vs Olaf matchup with a 60.0% win rate compared to Olaf's 40.0%, a 20.0 percentage point difference. This data is based on 10 recent ranked games in patch 26.14.
How does Ambessa do against Olaf in the early game?
In the early game, Ambessa has the advantage against Olaf with a 66.7% win rate versus 33.3%. 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 Olaf in the late game?
In the late game, Ambessa takes over the Ambessa vs Olaf matchup with a 50.0% win rate compared to 50.0%. Ambessa scales better into team fights and objective contests after 25 minutes.
Who wins the Ambessa vs Olaf matchup?
Ambessa wins the matchup against Olaf with a 60.0% win rate in League of Legends patch 26.14. The 20.0 percentage point advantage means Ambessa is significantly favored in this lane matchup based on 10 games analyzed.
What is the best Ambessa build against Olaf?
The best Ambessa build against Olaf includes Eclipse, Death's Dance, Spear of Shojin with Mercury's Treads. 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 Olaf?
The best Ambessa runes against Olaf use the Precision primary tree with Resolve secondary. This rune setup achieves a 33.3% win rate in the Ambessa vs Olaf matchup. See the full rune breakdown in the matchup comparison above.
Does Ambessa counter Olaf?
Yes, Ambessa has a favorable matchup against Olaf with a 60.0% win rate. Ambessa strongly counters Olaf in lane based on current patch 26.14 data.
How do I play Ambessa against Olaf?
When playing Ambessa 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.