Vaynevs Kog'Maw
Vayne vs Kog'Maw is a decisive matchup in LoL patch 26.7. Vayne wins with a 56.8% win rate (+13.6%) over Kog'Maw based on 44 games. Vayne holds the advantage in both the early and late game. Below you'll find the best Vayne build, runes, laning stats, and strategies for the Vayne vs Kog'Maw matchup.
Vayne Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Vayne 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.
Kog'Maw(56.8%)Who Wins the Vayne vs Kog'Maw Matchup?
Vayne vs Kog'Maw Matchup Summary
The Vayne vs Kog'Maw matchup is a decisive matchup in League of Legends ranked play. Based on 44 recent matches analyzed, Vayne wins with a 56.8% win rate compared to Kog'Maw's 43.2%, giving Vayne a 13.6 percentage point advantage. Vayne dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Kog'Maw 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 Kog'Maw leads by 213 DMG/min — a difference that heavily influences the outcome of trades and skirmishes. Vayne players can confidently pick into Kog'Maw and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Kog'Maw away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Vayne vs Kog'Maw Laning Phase Breakdown
Kog'Maw is favored during the laning phase against Vayne, winning 3 out of 5 key stat categories. Kog'Maw holds advantages in farming, damage and sustain, making them the stronger laner in this matchup.
Best Vayne Build Against Kog'Maw
Berserker's Greaves is the optimal boots choice against Kog'Maw, providing the mobility and stats Vayne needs most in this matchup. The top-performing core items for Vayne against Kog'Maw are Essence Reaver, Experimental Hexplate and Fiendhunter Bolts. This combination gives Vayne 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 Kog'Maw. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Vayne vs Kog'Maw matchup.
Early Game vs Late Game
Vayne61.1%Kog'Maw38.9%Vayne53.9%Kog'Maw46.1%Vayne dominates the early game (first 15 minutes) with a commanding 61.1% win rate — a 22.2 percentage point lead over Kog'Maw. This lopsided early game means Vayne can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Vayne is far superior in the late game (25+ minutes), boasting a 53.9% win rate — 7.7 points above Kog'Maw. Extended games heavily favor Vayne, whose kit and scaling make them a dominant force in team fights and objective control.
Vayne holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Kog'Maw players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Vayne Runes Against Kog'Maw
Precision
Resolve
Running Precision primary with Resolve secondary allows Vayne to press their advantage against Kog'Maw, amplifying the strengths that make this a favorable matchup.
Vayne matchup data for League of Legends patch 26.7. The table below shows Vayne'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 Vayne 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 |
|---|---|---|---|---|---|---|---|
| 49.02% | 357 | 6.0 | 817 | 13,231 | 45.3% | 52.0% | |
| 52.47% | 324 | 6.2 | 898 | 13,596 | 49.3% | 55.2% | |
| 48.09% | 314 | 6.2 | 832 | 12,819 | 44.0% | 52.7% | |
| 49.01% | 302 | 5.9 | 825 | 12,937 | 47.5% | 50.3% | |
| 52.94% | 272 | 6.0 | 839 | 13,071 | 52.8% | 53.1% | |
| 45.37% | 227 | 6.4 | 960 | 14,254 | 46.9% | 44.2% | |
| 50.00% | 222 | 6.4 | 937 | 13,717 | 50.0% | 50.0% | |
| 52.71% | 203 | 6.5 | 856 | 13,741 | 48.9% | 56.0% | |
| 52.32% | 151 | 6.5 | 828 | 13,287 | 55.4% | 49.4% | |
| 58.39% | 149 | 6.6 | 953 | 12,700 | 51.6% | 63.5% | |
| 51.30% | 115 | 5.8 | 813 | 13,717 | 61.5% | 42.9% | |
| 47.71% | 109 | 6.0 | 882 | 13,239 | 38.2% | 57.4% | |
| 55.67% | 97 | 6.4 | 880 | 12,625 | 59.6% | 51.1% | |
| 51.55% | 97 | 6.3 | 806 | 12,735 | 52.5% | 50.0% | |
| 50.00% | 94 | 5.9 | 832 | 13,595 | 46.7% | 53.1% | |
| 36.36% | 88 | 6.2 | 790 | 12,983 | 30.0% | 41.7% | |
| 47.44% | 78 | 6.6 | 928 | 13,284 | 46.3% | 48.6% | |
| 61.33% | 75 | 6.6 | 924 | 12,102 | 66.7% | 55.6% | |
| 55.56% | 72 | 6.1 | 858 | 13,247 | 45.2% | 63.4% | |
| 57.35% | 68 | 6.0 | 853 | 13,574 | 56.0% | 58.1% | |
| 36.76% | 68 | 6.2 | 881 | 12,394 | 36.7% | 36.8% | |
| 52.54% | 59 | 6.3 | 837 | 12,518 | 48.5% | 57.7% | |
| 42.37% | 59 | 6.2 | 870 | 12,828 | 34.4% | 51.9% | |
| 38.60% | 57 | 5.7 | 605 | 11,225 | 40.0% | 37.0% | |
| 37.50% | 56 | 5.5 | 601 | 10,770 | 30.4% | 42.4% | |
| 43.40% | 53 | 6.2 | 1,045 | 12,467 | 44.4% | 42.3% | |
| 44.00% | 50 | 6.1 | 886 | 13,061 | 47.8% | 40.7% | |
| 53.06% | 49 | 6.1 | 1,214 | 13,804 | 50.0% | 55.2% | |
| 65.91% | 44 | 6.1 | 869 | 13,292 | 66.7% | 65.4% | |
| 56.82% | 44 | 5.6 | 921 | 14,047 | 61.1% | 53.9% | |
| 43.18% | 44 | 5.7 | 996 | 11,548 | 31.3% | 50.0% | |
| 50.00% | 40 | 6.3 | 848 | 13,584 | 35.3% | 60.9% | |
| 55.00% | 40 | 5.9 | 893 | 14,588 | 23.1% | 70.4% | |
| 57.50% | 40 | 6.3 | 951 | 14,248 | 60.0% | 56.7% | |
| 48.72% | 39 | 6.5 | 952 | 13,491 | 57.9% | 40.0% | |
| 57.89% | 38 | 6.0 | 1,029 | 12,413 | 55.0% | 61.1% | |
| 42.11% | 38 | 6.1 | 923 | 13,741 | 44.4% | 40.0% | |
| 54.05% | 37 | 7.0 | 928 | 11,692 | 52.4% | 56.3% | |
| 40.54% | 37 | 5.8 | 804 | 12,225 | 41.2% | 40.0% | |
| 40.00% | 35 | 5.7 | 1,141 | 11,808 | 38.9% | 41.2% | |
| 55.88% | 34 | 6.5 | 856 | 11,125 | 57.9% | 53.3% | |
| 50.00% | 32 | 6.0 | 986 | 13,599 | 66.7% | 43.5% | |
| 66.67% | 30 | 6.2 | 896 | 12,540 | 50.0% | 81.3% | |
| 56.67% | 30 | 6.2 | 981 | 13,896 | 53.9% | 58.8% | |
| 48.28% | 29 | 6.7 | 858 | 12,180 | 28.6% | 66.7% | |
| 55.17% | 29 | 6.3 | 1,024 | 13,694 | 62.5% | 46.1% | |
| 51.85% | 27 | 5.7 | 984 | 12,391 | 45.5% | 56.3% | |
| 61.54% | 26 | 6.1 | 851 | 11,719 | 61.5% | 61.5% | |
| 64.00% | 25 | 6.0 | 808 | 11,770 | 55.6% | 68.8% | |
| 44.00% | 25 | 6.8 | 927 | 12,263 | 42.9% | 45.5% | |
| 33.33% | 24 | 6.4 | 835 | 11,605 | 41.7% | 25.0% | |
| 56.52% | 23 | 5.5 | 921 | 12,424 | 62.5% | 53.3% | |
| 43.48% | 23 | 6.3 | 837 | 12,921 | 60.0% | 30.8% | |
| 40.91% | 22 | 6.6 | 788 | 11,101 | 41.7% | 40.0% | |
| 52.38% | 21 | 5.9 | 923 | 13,477 | 40.0% | 63.6% | |
| 60.00% | 20 | 5.2 | 909 | 14,352 | 20.0% | 73.3% | |
| 47.37% | 19 | 6.9 | 1,008 | 11,892 | 63.6% | 25.0% | |
| 50.00% | 18 | 6.2 | 732 | 13,045 | 60.0% | 37.5% | |
| 50.00% | 18 | 6.2 | 1,053 | 12,784 | 55.6% | 44.4% | |
| 44.44% | 18 | 6.4 | 837 | 11,795 | 42.9% | 45.5% | |
| 50.00% | 18 | 5.8 | 754 | 12,373 | 28.6% | 63.6% | |
| 76.47% | 17 | 6.9 | 1,021 | 14,296 | 80.0% | 75.0% | |
| 29.41% | 17 | 6.9 | 829 | 11,897 | 37.5% | 22.2% | |
| 41.18% | 17 | 6.0 | 862 | 15,191 | 60.0% | 33.3% | |
| 43.75% | 16 | 6.0 | 838 | 11,773 | 62.5% | 25.0% | |
| 56.25% | 16 | 6.6 | 907 | 11,527 | 57.1% | 55.6% | |
| 37.50% | 16 | 5.4 | 659 | 13,208 | 16.7% | 50.0% | |
| 68.75% | 16 | 6.7 | 937 | 13,925 | 83.3% | 60.0% | |
| 53.33% | 15 | 5.9 | 686 | 11,419 | 37.5% | 71.4% | |
| 73.33% | 15 | 6.4 | 851 | 12,621 | 77.8% | 66.7% | |
| 50.00% | 14 | 5.7 | 851 | 11,114 | 16.7% | 75.0% | |
| 42.86% | 14 | 4.3 | 645 | 12,051 | 14.3% | 71.4% | |
| 53.85% | 13 | 3.3 | 885 | 14,162 | 75.0% | 44.4% | |
| 53.85% | 13 | 5.7 | 1,055 | 13,762 | 50.0% | 55.6% | |
| 58.33% | 12 | 5.6 | 562 | 10,027 | 57.1% | 60.0% | |
| 25.00% | 12 | 4.5 | 862 | 13,083 | 25.0% | 25.0% | |
| 50.00% | 12 | 6.3 | 784 | 13,328 | 33.3% | 66.7% | |
| 27.27% | 11 | 6.2 | 771 | 13,462 | 33.3% | 25.0% | |
| 63.64% | 11 | 6.3 | 874 | 15,826 | 66.7% | 62.5% | |
| 36.36% | 11 | 6.6 | 651 | 10,706 | 50.0% | 20.0% | |
| 45.45% | 11 | 5.5 | 919 | 12,629 | 50.0% | 40.0% | |
| 72.73% | 11 | 6.4 | 745 | 10,850 | 71.4% | 75.0% | |
| 45.45% | 11 | 6.0 | 1,064 | 14,508 | 40.0% | 50.0% | |
| 70.00% | 10 | 6.6 | 996 | 13,490 | 75.0% | 66.7% | |
| 40.00% | 10 | 6.8 | 876 | 13,216 | 33.3% | 50.0% | |
| 55.56% | 9 | 6.3 | 937 | 12,286 | 33.3% | 100.0% | |
| 44.44% | 9 | 6.2 | 1,077 | 15,702 | 100.0% | 28.6% | |
| 33.33% | 9 | 6.8 | 774 | 11,069 | 20.0% | 50.0% | |
| 25.00% | 8 | 5.5 | 693 | 10,378 | 25.0% | 25.0% | |
| 50.00% | 8 | 5.9 | 973 | 8,785 | 33.3% | 100.0% | |
| 37.50% | 8 | 1.9 | 834 | 14,727 | 33.3% | 40.0% | |
| 42.86% | 7 | 5.6 | 901 | 12,809 | 100.0% | 20.0% | |
| 0.00% | 7 | 6.6 | 558 | 10,700 | 0.0% | 0.0% | |
| 42.86% | 7 | 4.6 | 651 | 14,538 | 50.0% | 40.0% | |
| 71.43% | 7 | 6.1 | 682 | 13,126 | 75.0% | 66.7% | |
| 57.14% | 7 | 5.5 | 888 | 12,316 | 25.0% | 100.0% | |
| 57.14% | 7 | 5.4 | 895 | 12,100 | 50.0% | 66.7% | |
| 42.86% | 7 | 4.0 | 773 | 11,643 | 33.3% | 50.0% | |
| 57.14% | 7 | 2.5 | 1,313 | 15,576 | 25.0% | 100.0% | |
| 33.33% | 6 | 4.6 | 570 | 9,105 | 25.0% | 50.0% | |
| 66.67% | 6 | 5.9 | 1,089 | 15,493 | 50.0% | 75.0% | |
| 50.00% | 6 | 5.7 | 762 | 13,182 | 50.0% | 50.0% | |
| 50.00% | 6 | 1.9 | 891 | 14,832 | 100.0% | 40.0% | |
| 16.67% | 6 | 5.3 | 844 | 10,442 | 0.0% | 33.3% | |
| 0.00% | 6 | 5.9 | 795 | 10,724 | 0.0% | 0.0% | |
| 83.33% | 6 | 6.1 | 963 | 11,361 | 100.0% | 50.0% | |
| 50.00% | 6 | 6.3 | 804 | 13,574 | 100.0% | 40.0% | |
| 40.00% | 5 | 4.7 | 939 | 14,778 | 100.0% | 0.0% | |
| 60.00% | 5 | 1.7 | 1,195 | 17,648 | 0.0% | 75.0% | |
| 20.00% | 5 | 1.5 | 691 | 9,378 | 33.3% | 0.0% | |
| 60.00% | 5 | 5.3 | 1,100 | 15,380 | 100.0% | 50.0% | |
| 20.00% | 5 | 6.8 | 915 | 12,553 | 0.0% | 33.3% | |
| 40.00% | 5 | 6.5 | 1,021 | 17,603 | 0.0% | 40.0% | |
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Vayne vs Kog'Maw - Frequently Asked Questions
How does Vayne do against Kog'Maw in League of Legends?
Vayne wins the Vayne vs Kog'Maw matchup with a 56.8% win rate compared to Kog'Maw's 43.2%, a 13.6 percentage point difference. This data is based on 44 recent ranked games in patch 26.7.
How does Vayne do against Kog'Maw in the early game?
In the early game, Vayne has the advantage against Kog'Maw with a 61.1% win rate versus 38.9%. Vayne players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Vayne do against Kog'Maw in the late game?
In the late game, Vayne takes over the Vayne vs Kog'Maw matchup with a 53.9% win rate compared to 46.1%. Vayne scales better into team fights and objective contests after 25 minutes.
Who wins the Vayne vs Kog'Maw matchup?
Vayne wins the matchup against Kog'Maw with a 56.8% win rate in League of Legends patch 26.7. The 13.6 percentage point advantage means Vayne is significantly favored in this lane matchup based on 44 games analyzed.
What is the best Vayne build against Kog'Maw?
The best Vayne build against Kog'Maw includes Essence Reaver, Experimental Hexplate, Fiendhunter Bolts with Berserker's Greaves. 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 Vayne runes against Kog'Maw?
The best Vayne runes against Kog'Maw use the Precision primary tree with Resolve secondary. This rune setup achieves a 75.0% win rate in the Vayne vs Kog'Maw matchup. See the full rune breakdown in the matchup comparison above.
Does Vayne counter Kog'Maw?
Yes, Vayne has a favorable matchup against Kog'Maw with a 56.8% win rate. Vayne strongly counters Kog'Maw in lane based on current patch 26.7 data.
How do I play Vayne against Kog'Maw?
When playing Vayne against Kog'Maw, 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.