
Teemovs Kog'Maw
Teemo vs Kog'Maw is a decisive matchup in LoL patch 26.9. Kog'Maw wins with a 60.0% win rate (+20.0%) over Teemo based on 5 games. Teemo wins the early laning phase while Kog'Maw scales better into the late game. Below you'll find the best Teemo build, runes, laning stats, and strategies for the Teemo vs Kog'Maw matchup.
Teemo Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Teemo 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 Teemo vs Kog'Maw Matchup?

Teemo vs Kog'Maw Matchup Summary
The Teemo vs Kog'Maw matchup is a decisive matchup in League of Legends ranked play. Based on 5 recent matches analyzed, Kog'Maw wins with a 60.0% win rate compared to Teemo's 40.0%, giving Kog'Maw a 20.0 percentage point advantage. Game phase dynamics play a critical role here: Teemo controls the early laning stage, but Kog'Maw outscales as the game goes longer. The matchup shifts dramatically depending on game length — Teemo needs to press advantages before Kog'Maw reaches their power spikes, while Kog'Maw should focus on safe farming and hitting key item breakpoints. The most significant statistical gap is in crowd control, where Teemo leads by 0.8s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Kog'Maw has a strong advantage in this matchup. Teemo players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Kog'Maw 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.
Teemo vs Kog'Maw Laning Phase Breakdown
Kog'Maw is favored during the laning phase against Teemo, winning 4 out of 5 key stat categories. Kog'Maw holds advantages in farming, damage, gold income and sustain, making them the stronger laner in this matchup.
Best Teemo Build Against Kog'Maw
Plated Steelcaps is the optimal boots choice against Kog'Maw, providing the mobility and stats Teemo needs most in this matchup. The top-performing core items for Teemo against Kog'Maw are Liandry's Torment, Shadowflame and Malignance. This combination gives Teemo an effective balance of damage, survivability, and utility for the matchup. This build achieves a solid 50.0% win rate across 2 games, proving it to be a reliable item path when facing Kog'Maw. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Teemo vs Kog'Maw matchup.
Early Game vs Late Game
The early game (first 15 minutes) is a toss-up between Teemo and Kog'Maw, with Teemo holding a razor-thin 0.0% win rate edge (+0.0%). Individual skill and jungle proximity will matter more than champion advantage in the early laning phase.
Kog'Maw is far superior in the late game (25+ minutes), boasting a 60.0% win rate — 20.0 points above Teemo. Extended games heavily favor Kog'Maw, whose kit and scaling make them a dominant force in team fights and objective control.
The power dynamics shift as the game progresses — Teemo has the edge early, but Kog'Maw gradually takes over. However, the margins are slim enough that either champion can win at any stage with the right plays. Focus on taking advantages when you have them rather than waiting for a specific game phase.
Best Teemo Runes Against Kog'Maw
The Precision and Sorcery rune setup gives Teemo the best tools to compete against Kog'Maw in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Teemo matchup data for League of Legends patch 26.9. The table below shows Teemo'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 Teemo 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 |
|---|---|---|---|---|---|---|---|
| 57.50% | 240 | 6.8 | 1,052 | 12,291 | 50.0% | 61.8% | |
| 51.43% | 210 | 6.2 | 920 | 11,353 | 48.9% | 53.5% | |
| 41.46% | 164 | 6.1 | 819 | 11,070 | 34.2% | 47.7% | |
| 57.50% | 160 | 6.4 | 1,092 | 12,289 | 60.0% | 55.8% | |
| 44.53% | 138 | 6.5 | 1,292 | 11,945 | 45.9% | 43.4% | |
| 47.37% | 133 | 6.5 | 903 | 11,784 | 34.6% | 55.6% | |
| 53.15% | 111 | 6.4 | 1,043 | 12,179 | 51.4% | 54.0% | |
| 45.28% | 106 | 6.6 | 1,038 | 12,008 | 34.1% | 52.3% | |
| 48.11% | 106 | 6.0 | 1,092 | 11,626 | 50.0% | 46.9% | |
| 57.69% | 104 | 6.5 | 1,047 | 11,862 | 54.9% | 60.4% | |
| 48.54% | 103 | 6.5 | 958 | 11,596 | 40.5% | 54.1% | |
| 50.50% | 101 | 6.2 | 1,092 | 12,107 | 54.5% | 48.5% | |
| 59.60% | 99 | 6.7 | 986 | 11,892 | 65.3% | 54.0% | |
| 61.62% | 99 | 6.7 | 1,103 | 12,856 | 57.6% | 63.6% | |
| 60.20% | 98 | 7.0 | 1,086 | 13,761 | 63.6% | 58.5% | |
| 50.54% | 93 | 6.5 | 978 | 11,092 | 57.8% | 43.8% | |
| 54.84% | 93 | 5.4 | 926 | 11,210 | 62.0% | 46.5% | |
| 61.80% | 89 | 6.5 | 1,019 | 12,102 | 66.7% | 58.5% | |
| 50.00% | 84 | 5.6 | 1,068 | 10,635 | 43.9% | 55.8% | |
| 55.42% | 83 | 6.4 | 1,089 | 13,221 | 53.6% | 56.4% | |
| 56.63% | 83 | 6.2 | 938 | 11,480 | 50.0% | 62.2% | |
| 47.50% | 80 | 6.5 | 1,001 | 12,883 | 45.5% | 48.3% | |
| 49.33% | 75 | 3.4 | 896 | 12,890 | 47.8% | 50.0% | |
| 58.11% | 74 | 6.3 | 986 | 11,964 | 51.7% | 62.2% | |
| 43.24% | 74 | 6.8 | 995 | 12,751 | 55.6% | 36.2% | |
| 51.35% | 74 | 6.8 | 1,151 | 13,011 | 55.6% | 48.9% | |
| 52.11% | 71 | 6.6 | 940 | 11,414 | 51.6% | 52.5% | |
| 54.93% | 71 | 6.6 | 1,064 | 12,077 | 54.8% | 55.0% | |
| 50.00% | 70 | 4.8 | 904 | 12,693 | 50.0% | 50.0% | |
| 54.41% | 68 | 6.0 | 916 | 11,406 | 44.8% | 61.5% | |
| 49.25% | 67 | 6.2 | 933 | 10,436 | 51.7% | 47.4% | |
| 56.92% | 65 | 4.0 | 975 | 12,488 | 70.8% | 48.8% | |
| 69.84% | 63 | 5.7 | 1,048 | 12,782 | 55.0% | 76.7% | |
| 43.55% | 62 | 3.9 | 869 | 10,819 | 40.9% | 45.0% | |
| 52.46% | 61 | 6.4 | 832 | 11,466 | 54.2% | 51.4% | |
| 64.41% | 59 | 6.7 | 901 | 12,607 | 57.1% | 68.4% | |
| 45.76% | 59 | 6.7 | 1,041 | 12,380 | 53.9% | 39.4% | |
| 40.00% | 50 | 3.5 | 943 | 11,435 | 38.5% | 41.7% | |
| 52.00% | 50 | 2.7 | 928 | 12,707 | 68.4% | 41.9% | |
| 63.27% | 49 | 6.9 | 895 | 12,933 | 82.3% | 53.1% | |
| 53.06% | 49 | 6.0 | 931 | 10,925 | 52.4% | 53.6% | |
| 44.90% | 49 | 3.0 | 867 | 12,022 | 45.5% | 44.4% | |
| 52.08% | 48 | 6.4 | 1,155 | 12,878 | 62.5% | 46.9% | |
| 50.00% | 48 | 2.0 | 1,029 | 12,638 | 43.8% | 53.1% | |
| 58.70% | 46 | 6.9 | 971 | 13,024 | 43.8% | 66.7% | |
| 42.22% | 45 | 6.7 | 903 | 12,104 | 35.0% | 48.0% | |
| 35.71% | 42 | 6.7 | 1,040 | 11,283 | 28.6% | 42.9% | |
| 54.76% | 42 | 2.8 | 738 | 9,971 | 35.0% | 72.7% | |
| 36.59% | 41 | 4.3 | 889 | 11,030 | 30.0% | 42.9% | |
| 31.71% | 41 | 1.3 | 848 | 11,865 | 20.0% | 38.5% | |
| 62.50% | 40 | 6.4 | 1,003 | 11,743 | 65.0% | 60.0% | |
| 55.00% | 40 | 6.6 | 912 | 12,485 | 53.3% | 56.0% | |
| 57.50% | 40 | 6.6 | 1,040 | 13,318 | 42.9% | 65.4% | |
| 47.50% | 40 | 6.4 | 1,158 | 12,609 | 37.5% | 54.2% | |
| 53.85% | 39 | 2.6 | 896 | 10,366 | 53.9% | 53.9% | |
| 53.85% | 39 | 6.1 | 1,110 | 12,975 | 71.4% | 44.0% | |
| 43.59% | 39 | 2.5 | 906 | 11,041 | 33.3% | 50.0% | |
| 46.15% | 39 | 1.9 | 910 | 11,041 | 33.3% | 50.0% | |
| 57.89% | 38 | 1.7 | 975 | 13,832 | 70.0% | 53.6% | |
| 47.37% | 38 | 6.4 | 764 | 11,352 | 40.0% | 55.6% | |
| 56.76% | 37 | 5.7 | 1,154 | 11,933 | 42.1% | 72.2% | |
| 45.95% | 37 | 6.7 | 957 | 11,457 | 44.4% | 47.4% | |
| 66.67% | 36 | 2.5 | 810 | 10,877 | 58.3% | 70.8% | |
| 50.00% | 36 | 3.6 | 888 | 9,910 | 50.0% | 50.0% | |
| 51.43% | 35 | 2.7 | 842 | 11,362 | 40.0% | 60.0% | |
| 51.52% | 33 | 6.2 | 980 | 12,992 | 50.0% | 52.4% | |
| 51.52% | 33 | 2.0 | 964 | 13,815 | 55.6% | 50.0% | |
| 56.25% | 32 | 5.8 | 1,012 | 12,571 | 33.3% | 61.5% | |
| 48.39% | 31 | 1.7 | 896 | 12,567 | 63.6% | 40.0% | |
| 51.61% | 31 | 2.0 | 753 | 8,689 | 62.5% | 40.0% | |
| 48.39% | 31 | 2.7 | 924 | 10,545 | 40.0% | 52.4% | |
| 36.67% | 30 | 4.2 | 808 | 10,104 | 18.2% | 47.4% | |
| 65.52% | 29 | 1.7 | 889 | 9,807 | 69.2% | 62.5% | |
| 53.57% | 28 | 5.1 | 858 | 11,581 | 50.0% | 54.5% | |
| 64.29% | 28 | 4.1 | 997 | 13,514 | 40.0% | 69.6% | |
| 60.71% | 28 | 2.2 | 961 | 13,936 | 50.0% | 65.0% | |
| 75.00% | 28 | 2.5 | 880 | 10,565 | 73.3% | 76.9% | |
| 61.54% | 26 | 1.6 | 865 | 11,981 | 60.0% | 62.5% | |
| 57.69% | 26 | 5.7 | 914 | 10,483 | 68.8% | 40.0% | |
| 44.00% | 25 | 2.3 | 875 | 11,861 | 44.4% | 43.8% | |
| 64.00% | 25 | 6.0 | 937 | 13,247 | 83.3% | 46.1% | |
| 58.33% | 24 | 1.9 | 717 | 9,639 | 77.8% | 46.7% | |
| 54.17% | 24 | 4.1 | 828 | 11,390 | 50.0% | 57.1% | |
| 79.17% | 24 | 2.4 | 821 | 10,131 | 72.7% | 84.6% | |
| 54.17% | 24 | 6.2 | 900 | 11,904 | 50.0% | 56.3% | |
| 45.83% | 24 | 3.2 | 901 | 11,902 | 25.0% | 56.3% | |
| 66.67% | 24 | 4.8 | 1,007 | 9,123 | 68.8% | 62.5% | |
| 43.48% | 23 | 6.6 | 757 | 11,179 | 30.0% | 53.9% | |
| 30.43% | 23 | 5.6 | 919 | 10,522 | 10.0% | 46.1% | |
| 34.78% | 23 | 5.8 | 872 | 11,620 | 20.0% | 46.1% | |
| 59.09% | 22 | 2.5 | 1,006 | 12,334 | 40.0% | 75.0% | |
| 59.09% | 22 | 1.1 | 1,001 | 11,954 | 75.0% | 50.0% | |
| 42.86% | 21 | 4.4 | 883 | 12,792 | 37.5% | 46.1% | |
| 47.62% | 21 | 1.9 | 856 | 10,966 | 33.3% | 53.3% | |
| 50.00% | 20 | 3.3 | 940 | 10,192 | 54.5% | 44.4% | |
| 50.00% | 20 | 4.8 | 826 | 11,502 | 42.9% | 53.9% | |
| 45.00% | 20 | 5.5 | 750 | 11,195 | 16.7% | 57.1% | |
| 55.00% | 20 | 6.2 | 890 | 11,500 | 40.0% | 70.0% | |
| 60.00% | 20 | 3.4 | 733 | 9,265 | 44.4% | 72.7% | |
| 65.00% | 20 | 5.6 | 813 | 12,660 | 62.5% | 66.7% | |
| 60.00% | 20 | 4.7 | 1,045 | 12,006 | 54.5% | 66.7% | |
| 45.00% | 20 | 3.6 | 876 | 13,057 | 33.3% | 50.0% | |
| 52.63% | 19 | 1.9 | 807 | 10,165 | 42.9% | 58.3% | |
| 38.89% | 18 | 2.0 | 752 | 9,993 | 33.3% | 41.7% | |
| 44.44% | 18 | 1.9 | 1,004 | 9,427 | 57.1% | 36.4% | |
| 44.44% | 18 | 1.2 | 1,020 | 12,267 | 66.7% | 33.3% | |
| 27.78% | 18 | 7.3 | 1,030 | 11,196 | 44.4% | 11.1% | |
| 55.56% | 18 | 2.4 | 976 | 13,456 | 40.0% | 61.5% | |
| 52.94% | 17 | 2.7 | 797 | 11,795 | 100.0% | 46.7% | |
| 41.18% | 17 | 5.8 | 979 | 11,661 | 33.3% | 45.5% | |
| 47.06% | 17 | 1.9 | 903 | 13,094 | 42.9% | 50.0% | |
| 52.94% | 17 | 1.4 | 821 | 11,179 | 44.4% | 62.5% | |
| 52.94% | 17 | 5.7 | 910 | 11,362 | 60.0% | 50.0% | |
| 26.67% | 15 | 5.6 | 984 | 13,040 | 25.0% | 27.3% | |
| 42.86% | 14 | 3.8 | 752 | 9,842 | 57.1% | 28.6% | |
| 30.77% | 13 | 4.0 | 979 | 11,488 | 14.3% | 50.0% | |
| 38.46% | 13 | 3.0 | 929 | 11,966 | 66.7% | 30.0% | |
| 69.23% | 13 | 5.5 | 941 | 11,917 | 66.7% | 71.4% | |
| 38.46% | 13 | 3.6 | 1,137 | 11,706 | 42.9% | 33.3% | |
| 76.92% | 13 | 3.0 | 925 | 14,187 | 100.0% | 70.0% | |
| 46.15% | 13 | 6.0 | 983 | 12,432 | 50.0% | 42.9% | |
| 61.54% | 13 | 6.6 | 1,076 | 12,480 | 80.0% | 50.0% | |
| 53.85% | 13 | 2.0 | 916 | 9,831 | 57.1% | 50.0% | |
| 41.67% | 12 | 1.3 | 1,007 | 13,968 | 25.0% | 50.0% | |
| 25.00% | 12 | 1.9 | 889 | 11,201 | 0.0% | 30.0% | |
| 54.55% | 11 | 2.7 | 805 | 10,161 | 40.0% | 66.7% | |
| 36.36% | 11 | 3.9 | 1,161 | 14,117 | 33.3% | 37.5% | |
| 27.27% | 11 | 3.2 | 777 | 10,024 | 20.0% | 33.3% | |
| 45.45% | 11 | 6.2 | 1,053 | 11,648 | 60.0% | 33.3% | |
| 72.73% | 11 | 1.8 | 879 | 11,022 | 66.7% | 75.0% | |
| 18.18% | 11 | 2.7 | 1,054 | 11,296 | 0.0% | 40.0% | |
| 50.00% | 10 | 6.5 | 856 | 10,894 | 80.0% | 20.0% | |
| 70.00% | 10 | 5.5 | 954 | 10,118 | 66.7% | 75.0% | |
| 20.00% | 10 | 1.3 | 943 | 12,450 | 33.3% | 14.3% | |
| 40.00% | 10 | 6.1 | 871 | 12,614 | 50.0% | 37.5% | |
| 60.00% | 10 | 5.9 | 976 | 13,114 | 33.3% | 71.4% | |
| 33.33% | 9 | 6.9 | 1,126 | 15,343 | 66.7% | 16.7% | |
| 44.44% | 9 | 4.9 | 774 | 12,745 | 0.0% | 57.1% | |
| 44.44% | 9 | 5.0 | 1,015 | 11,365 | 0.0% | 66.7% | |
| 44.44% | 9 | 5.7 | 1,192 | 14,505 | 0.0% | 57.1% | |
| 88.89% | 9 | 1.3 | 835 | 10,986 | 100.0% | 87.5% | |
| 55.56% | 9 | 2.1 | 880 | 12,880 | 75.0% | 40.0% | |
| 22.22% | 9 | 2.1 | 772 | 10,372 | 20.0% | 25.0% | |
| 50.00% | 8 | 3.4 | 841 | 11,802 | 50.0% | 50.0% | |
| 62.50% | 8 | 7.1 | 1,062 | 14,262 | 66.7% | 60.0% | |
| 12.50% | 8 | 1.8 | 691 | 9,785 | 0.0% | 14.3% | |
| 57.14% | 7 | 6.8 | 936 | 12,206 | 50.0% | 60.0% | |
| 28.57% | 7 | 3.0 | 791 | 12,239 | 20.0% | 50.0% | |
| 85.71% | 7 | 3.9 | 1,127 | 12,086 | 100.0% | 80.0% | |
| 66.67% | 6 | 6.2 | 1,181 | 14,990 | 50.0% | 100.0% | |
| 16.67% | 6 | 5.5 | 751 | 11,576 | 0.0% | 25.0% | |
| 33.33% | 6 | 6.3 | 1,196 | 14,644 | 25.0% | 50.0% | |
| 50.00% | 6 | 3.1 | 783 | 12,409 | 50.0% | 50.0% | |
| 66.67% | 6 | 6.7 | 917 | 13,855 | 100.0% | 33.3% | |
| 40.00% | 5 | 4.8 | 905 | 11,859 | 33.3% | 50.0% | |
| 40.00% | 5 | 5.8 | 1,153 | 16,718 | 0.0% | 40.0% | |
| 100.00% | 5 | 4.1 | 878 | 11,093 | 100.0% | 100.0% | |
| 60.00% | 5 | 1.4 | 899 | 13,541 | 50.0% | 66.7% | |
| 40.00% | 5 | 6.3 | 1,282 | 13,600 | 50.0% | 33.3% | |
| 40.00% | 5 | 6.5 | 1,115 | 12,283 | 0.0% | 66.7% | |
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Teemo vs Kog'Maw - Frequently Asked Questions
How does Teemo do against Kog'Maw in League of Legends?
Kog'Maw wins the Teemo vs Kog'Maw matchup with a 60.0% win rate compared to Teemo's 40.0%, a 20.0 percentage point difference. This data is based on 5 recent ranked games in patch 26.9.
How does Teemo do against Kog'Maw in the early game?
In the early game, Teemo has the advantage against Kog'Maw with a 0.0% win rate versus 0.0%. Teemo players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Teemo do against Kog'Maw in the late game?
In the late game, Kog'Maw takes over the Teemo vs Kog'Maw matchup with a 60.0% win rate compared to 40.0%. Kog'Maw scales better into team fights and objective contests after 25 minutes.
Who wins the Teemo vs Kog'Maw matchup?
Kog'Maw wins the matchup against Teemo with a 60.0% win rate in League of Legends patch 26.9. The 20.0 percentage point advantage means Kog'Maw is significantly favored in this lane matchup based on 5 games analyzed.
What is the best Teemo build against Kog'Maw?
The best Teemo build against Kog'Maw includes Liandry's Torment, Shadowflame, Malignance with Plated Steelcaps. This build achieves a 50.0% win rate in the matchup. Check the matchup breakdown above for the full item path and build order.
What are the best Teemo runes against Kog'Maw?
The best Teemo runes against Kog'Maw use the Precision primary tree with Sorcery secondary. This rune setup achieves a 100.0% win rate in the Teemo vs Kog'Maw matchup. See the full rune breakdown in the matchup comparison above.
Does Teemo counter Kog'Maw?
No, Teemo struggles against Kog'Maw with only a 40.0% win rate. Kog'Maw has the advantage in this matchup. Teemo players should focus on safe farming and avoiding extended trades to minimize Kog'Maw's lead.
How do I play Teemo against Kog'Maw?
When playing Teemo against Kog'Maw, play cautiously and avoid Kog'Maw's power spikes. Look for jungle assistance and team-dependent plays since Kog'Maw has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.