
Wukongvs Ambessa
Wukong vs Ambessa is a decisive matchup in LoL patch 26.7. Wukong wins with a 73.7% win rate (+47.4%) over Ambessa based on 19 games. Wukong holds the advantage in both the early and late game. Below you'll find the best Wukong build, runes, laning stats, and strategies for the Wukong vs Ambessa matchup.
Wukong Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Wukong 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 Wukong vs Ambessa Matchup?

Wukong vs Ambessa Matchup Summary
The Wukong vs Ambessa matchup is a decisive matchup in League of Legends ranked play. Based on 19 recent matches analyzed, Wukong wins with a 73.7% win rate compared to Ambessa's 26.3%, giving Wukong a 47.4 percentage point advantage. Wukong dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Ambessa players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in sustain, where Ambessa leads by 158 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Wukong players can confidently pick into Ambessa and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Ambessa away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Wukong vs Ambessa Laning Phase Breakdown
Ambessa is favored during the laning phase against Wukong, winning 3 out of 5 key stat categories. Ambessa holds advantages in farming, damage and sustain, making them the stronger laner in this matchup.
Best Wukong Build Against Ambessa
Plated Steelcaps is the optimal boots choice against Ambessa, providing the mobility and stats Wukong needs most in this matchup. The top-performing core items for Wukong against Ambessa are Sundered Sky, Trinity Force and Black Cleaver. This combination gives Wukong an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 100.0% win rate across 4 games — well above average and making it the top item path against Ambessa. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Wukong vs Ambessa matchup.
Early Game vs Late Game
Wukong dominates the early game (first 15 minutes) with a commanding 71.4% win rate — a 42.9 percentage point lead over Ambessa. This lopsided early game means Wukong can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Wukong is far superior in the late game (25+ minutes), boasting a 75.0% win rate — 50.0 points above Ambessa. Extended games heavily favor Wukong, whose kit and scaling make them a dominant force in team fights and objective control.
Wukong holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Ambessa players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Wukong Runes Against Ambessa
Running Sorcery primary with Resolve secondary allows Wukong to press their advantage against Ambessa, amplifying the strengths that make this a favorable matchup.
Wukong matchup data for League of Legends patch 26.7. The table below shows Wukong'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 Wukong 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 |
|---|---|---|---|---|---|---|---|
| 54.93% | 71 | 1.1 | 613 | 12,336 | 54.5% | 55.3% | |
| 48.28% | 58 | 1.4 | 660 | 13,102 | 60.0% | 39.4% | |
| 58.93% | 56 | 1.0 | 703 | 12,824 | 66.7% | 51.7% | |
| 60.71% | 56 | 1.2 | 757 | 13,090 | 63.6% | 58.8% | |
| 44.00% | 50 | 1.2 | 567 | 11,527 | 42.3% | 45.8% | |
| 60.42% | 48 | 0.9 | 667 | 12,265 | 55.0% | 64.3% | |
| 56.82% | 44 | 5.6 | 821 | 13,186 | 62.5% | 53.6% | |
| 35.71% | 42 | 1.1 | 640 | 12,264 | 15.8% | 52.2% | |
| 40.54% | 37 | 2.8 | 819 | 11,980 | 50.0% | 31.6% | |
| 44.44% | 36 | 1.0 | 608 | 12,730 | 42.9% | 45.5% | |
| 57.14% | 35 | 1.0 | 621 | 12,265 | 52.4% | 64.3% | |
| 45.45% | 33 | 1.1 | 612 | 12,475 | 41.7% | 47.6% | |
| 38.71% | 31 | 2.7 | 734 | 13,710 | 62.5% | 30.4% | |
| 50.00% | 30 | 1.3 | 616 | 11,207 | 56.3% | 42.9% | |
| 50.00% | 30 | 1.1 | 627 | 12,570 | 38.5% | 58.8% | |
| 68.97% | 29 | 5.3 | 881 | 13,106 | 81.8% | 61.1% | |
| 51.85% | 27 | 3.2 | 696 | 12,598 | 33.3% | 61.1% | |
| 42.31% | 26 | 1.0 | 635 | 12,701 | 50.0% | 35.7% | |
| 60.00% | 25 | 3.2 | 685 | 13,082 | 45.5% | 71.4% | |
| 58.33% | 24 | 1.2 | 692 | 13,031 | 50.0% | 66.7% | |
| 50.00% | 24 | 4.9 | 856 | 12,343 | 33.3% | 60.0% | |
| 54.55% | 22 | 1.5 | 688 | 13,190 | 50.0% | 57.1% | |
| 66.67% | 21 | 1.7 | 698 | 11,941 | 88.9% | 50.0% | |
| 57.14% | 21 | 0.9 | 686 | 13,202 | 42.9% | 64.3% | |
| 45.00% | 20 | 3.4 | 693 | 11,986 | 45.5% | 44.4% | |
| 45.00% | 20 | 2.9 | 524 | 8,895 | 46.1% | 42.9% | |
| 42.11% | 19 | 1.4 | 680 | 12,068 | 42.9% | 41.7% | |
| 31.58% | 19 | 4.1 | 687 | 12,736 | 33.3% | 30.0% | |
| 42.11% | 19 | 4.2 | 543 | 11,641 | 55.6% | 30.0% | |
| 42.11% | 19 | 1.3 | 710 | 14,093 | 33.3% | 46.1% | |
| 57.89% | 19 | 1.1 | 762 | 13,615 | 62.5% | 54.5% | |
| 73.68% | 19 | 2.8 | 758 | 13,656 | 71.4% | 75.0% | |
| 78.95% | 19 | 0.9 | 568 | 12,624 | 80.0% | 77.8% | |
| 42.11% | 19 | 1.1 | 687 | 11,883 | 33.3% | 50.0% | |
| 47.06% | 17 | 5.8 | 806 | 13,906 | 33.3% | 50.0% | |
| 29.41% | 17 | 0.9 | 633 | 13,150 | 25.0% | 30.8% | |
| 52.94% | 17 | 2.4 | 718 | 14,017 | 50.0% | 54.5% | |
| 37.50% | 16 | 1.3 | 691 | 12,509 | 20.0% | 45.5% | |
| 37.50% | 16 | 7.1 | 840 | 13,723 | 44.4% | 28.6% | |
| 53.33% | 15 | 1.7 | 712 | 12,552 | 71.4% | 37.5% | |
| 20.00% | 15 | 4.1 | 719 | 10,764 | 14.3% | 25.0% | |
| 53.33% | 15 | 0.8 | 649 | 10,311 | 41.7% | 100.0% | |
| 78.57% | 14 | 3.3 | 663 | 13,042 | 60.0% | 88.9% | |
| 50.00% | 14 | 6.3 | 809 | 13,020 | 37.5% | 66.7% | |
| 50.00% | 14 | 3.1 | 860 | 13,784 | 50.0% | 50.0% | |
| 57.14% | 14 | 6.4 | 748 | 11,088 | 66.7% | 40.0% | |
| 50.00% | 14 | 1.3 | 694 | 13,797 | 50.0% | 50.0% | |
| 23.08% | 13 | 6.2 | 816 | 11,164 | 40.0% | 12.5% | |
| 46.15% | 13 | 5.6 | 725 | 11,666 | 40.0% | 50.0% | |
| 53.85% | 13 | 6.9 | 771 | 12,807 | 40.0% | 62.5% | |
| 53.85% | 13 | 0.9 | 678 | 13,041 | 66.7% | 25.0% | |
| 53.85% | 13 | 1.2 | 651 | 13,894 | 0.0% | 70.0% | |
| 66.67% | 12 | 5.7 | 720 | 10,309 | 66.7% | 66.7% | |
| 33.33% | 12 | 6.7 | 792 | 12,616 | 50.0% | 16.7% | |
| 45.45% | 11 | 1.1 | 774 | 14,811 | 50.0% | 44.4% | |
| 54.55% | 11 | 6.0 | 879 | 12,935 | 66.7% | 40.0% | |
| 45.45% | 11 | 1.6 | 784 | 14,201 | 75.0% | 28.6% | |
| 36.36% | 11 | 2.3 | 603 | 9,358 | 16.7% | 60.0% | |
| 60.00% | 10 | 1.4 | 670 | 11,580 | 80.0% | 40.0% | |
| 50.00% | 10 | 5.5 | 1,112 | 13,883 | 0.0% | 62.5% | |
| 40.00% | 10 | 0.8 | 472 | 10,377 | 33.3% | 50.0% | |
| 55.56% | 9 | 6.8 | 821 | 13,115 | 80.0% | 25.0% | |
| 55.56% | 9 | 6.6 | 755 | 12,621 | 60.0% | 50.0% | |
| 50.00% | 8 | 1.4 | 641 | 12,173 | 66.7% | 40.0% | |
| 50.00% | 8 | 5.3 | 640 | 13,310 | 0.0% | 66.7% | |
| 37.50% | 8 | 1.6 | 602 | 13,280 | 25.0% | 50.0% | |
| 50.00% | 8 | 5.7 | 852 | 10,317 | 50.0% | 50.0% | |
| 50.00% | 8 | 4.7 | 739 | 14,011 | 66.7% | 40.0% | |
| 57.14% | 7 | 4.3 | 732 | 12,392 | 66.7% | 50.0% | |
| 42.86% | 7 | 5.4 | 803 | 11,332 | 40.0% | 50.0% | |
| 85.71% | 7 | 2.6 | 802 | 14,223 | 50.0% | 100.0% | |
| 50.00% | 6 | 4.8 | 807 | 12,800 | 50.0% | 50.0% | |
| 50.00% | 6 | 5.3 | 979 | 12,110 | 0.0% | 75.0% | |
| 33.33% | 6 | 1.4 | 574 | 11,480 | 33.3% | 33.3% | |
| 60.00% | 5 | 2.2 | 682 | 15,368 | 100.0% | 50.0% | |
| 60.00% | 5 | 6.3 | 738 | 10,368 | 100.0% | 50.0% | |
| 100.00% | 5 | 5.3 | 1,031 | 12,112 | 100.0% | 100.0% | |
| 80.00% | 5 | 6.3 | 963 | 9,421 | 100.0% | 50.0% | |
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Wukong vs Ambessa - Frequently Asked Questions
How does Wukong do against Ambessa in League of Legends?
Wukong wins the Wukong vs Ambessa matchup with a 73.7% win rate compared to Ambessa's 26.3%, a 47.4 percentage point difference. This data is based on 19 recent ranked games in patch 26.7.
How does Wukong do against Ambessa in the early game?
In the early game, Wukong has the advantage against Ambessa with a 71.4% win rate versus 28.6%. Wukong players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Wukong do against Ambessa in the late game?
In the late game, Wukong takes over the Wukong vs Ambessa matchup with a 75.0% win rate compared to 25.0%. Wukong scales better into team fights and objective contests after 25 minutes.
Who wins the Wukong vs Ambessa matchup?
Wukong wins the matchup against Ambessa with a 73.7% win rate in League of Legends patch 26.7. The 47.4 percentage point advantage means Wukong is significantly favored in this lane matchup based on 19 games analyzed.
What is the best Wukong build against Ambessa?
The best Wukong build against Ambessa includes Sundered Sky, Trinity Force, Black Cleaver with Plated Steelcaps. 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 Wukong runes against Ambessa?
The best Wukong runes against Ambessa use the Sorcery primary tree with Resolve secondary. This rune setup achieves a 100.0% win rate in the Wukong vs Ambessa matchup. See the full rune breakdown in the matchup comparison above.
Does Wukong counter Ambessa?
Yes, Wukong has a favorable matchup against Ambessa with a 73.7% win rate. Wukong strongly counters Ambessa in lane based on current patch 26.7 data.
How do I play Wukong against Ambessa?
When playing Wukong against Ambessa, 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.
