Sennavs Kog'Maw
Senna vs Kog'Maw is a very close matchup in LoL patch 26.11. Senna wins with a 50.0% win rate (+0.0%) over Kog'Maw based on 44 games. Senna wins the early laning phase while Kog'Maw scales better into the late game. Below you'll find the best Senna build, runes, laning stats, and strategies for the Senna vs Kog'Maw matchup.
Senna Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Senna 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 Senna vs Kog'Maw Matchup?
Senna vs Kog'Maw Matchup Summary
The Senna vs Kog'Maw matchup is essentially a coin-flip matchup in League of Legends ranked play. Based on 44 recent matches analyzed, Senna wins with a 50.0% win rate compared to Kog'Maw's 50.0%, giving Senna a 0.0 percentage point advantage. Game phase dynamics play a critical role here: Senna controls the early laning stage, but Kog'Maw outscales as the game goes longer. The matchup shifts dramatically depending on game length — Senna 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 Senna leads by 0.8s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Senna has a statistical edge, but the margin is close enough that respecting Kog'Maw'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.
Senna vs Kog'Maw Laning Phase Breakdown
Kog'Maw is favored during the laning phase against Senna, 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 Senna Build Against Kog'Maw
Swiftmarch is the optimal boots choice against Kog'Maw, providing the mobility and stats Senna needs most in this matchup. The top-performing core items for Senna against Kog'Maw are Rapid Firecannon, Statikk Shiv and Black Cleaver. This combination gives Senna an effective balance of damage, survivability, and utility for the matchup. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Senna vs Kog'Maw matchup.
Early Game vs Late Game
Senna52.6%
Kog'Maw47.4%Senna48.0%Kog'Maw52.0%Senna dominates the early game (first 15 minutes) with a commanding 52.6% win rate — a 5.3 percentage point lead over Kog'Maw. This lopsided early game means Senna can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
In the late game (25+ minutes), Kog'Maw takes over with a 52.0% win rate, leading Senna by 4.0 percentage points. Kog'Maw scales more effectively into team fights and objective contests.
This matchup features a dramatic power shift: Senna must aggressively press their early advantage and close out the game before Kog'Maw reaches their scaling breakpoints. If Kog'Maw 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 Senna Runes Against Kog'Maw
Sorcery
Precision
The Sorcery primary with Precision secondary combination helps Senna maximize their potential in this closely contested matchup, providing the right mix of offensive and defensive tools to edge out Kog'Maw.
Senna matchup data for League of Legends patch 26.11. The table below shows Senna'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 Senna 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 |
|---|---|---|---|---|---|---|---|
| 49.79% | 478 | 1.9 | 600 | 10,125 | 48.4% | 51.0% | |
| 52.43% | 391 | 6.1 | 797 | 12,533 | 48.4% | 56.2% | |
| 46.98% | 364 | 2.0 | 548 | 10,608 | 39.5% | 52.4% | |
| 48.42% | 349 | 1.6 | 629 | 10,549 | 49.0% | 48.0% | |
| 48.37% | 337 | 5.5 | 754 | 12,578 | 47.1% | 49.5% | |
| 57.41% | 324 | 1.6 | 631 | 10,727 | 59.7% | 55.4% | |
| 56.72% | 305 | 6.2 | 917 | 13,614 | 61.5% | 53.5% | |
| 47.47% | 297 | 1.6 | 627 | 10,061 | 44.8% | 50.0% | |
| 43.99% | 291 | 1.6 | 655 | 10,027 | 48.1% | 40.4% | |
| 48.42% | 285 | 6.0 | 815 | 12,849 | 51.2% | 46.3% | |
| 54.78% | 272 | 6.0 | 792 | 12,826 | 50.4% | 57.9% | |
| 51.22% | 246 | 1.6 | 669 | 10,988 | 50.0% | 52.0% | |
| 50.21% | 237 | 2.8 | 630 | 11,285 | 45.3% | 53.5% | |
| 59.31% | 231 | 5.8 | 813 | 12,726 | 58.2% | 60.3% | |
| 54.78% | 230 | 5.6 | 766 | 12,746 | 53.3% | 56.1% | |
| 47.74% | 199 | 1.6 | 696 | 10,235 | 42.2% | 52.3% | |
| 44.92% | 187 | 1.5 | 565 | 9,756 | 57.0% | 36.1% | |
| 54.29% | 175 | 1.6 | 630 | 10,665 | 54.0% | 54.5% | |
| 47.13% | 157 | 1.6 | 625 | 10,802 | 55.9% | 41.8% | |
| 47.30% | 148 | 1.6 | 592 | 9,980 | 50.0% | 44.3% | |
| 50.34% | 145 | 1.5 | 567 | 9,579 | 48.6% | 52.0% | |
| 56.64% | 143 | 1.7 | 832 | 10,666 | 65.2% | 49.4% | |
| 60.84% | 143 | 6.1 | 801 | 13,097 | 59.7% | 61.8% | |
| 52.11% | 142 | 2.1 | 588 | 10,860 | 46.1% | 55.6% | |
| 57.55% | 139 | 1.5 | 589 | 10,218 | 56.9% | 58.1% | |
| 59.42% | 138 | 1.5 | 665 | 10,311 | 60.9% | 58.1% | |
| 43.70% | 135 | 1.8 | 580 | 10,866 | 38.1% | 46.2% | |
| 54.40% | 125 | 1.4 | 647 | 9,760 | 56.7% | 52.3% | |
| 59.35% | 123 | 1.5 | 666 | 10,242 | 55.0% | 63.5% | |
| 55.37% | 121 | 2.3 | 795 | 11,322 | 52.8% | 57.4% | |
| 53.33% | 120 | 1.8 | 697 | 10,470 | 44.9% | 59.1% | |
| 38.98% | 118 | 2.5 | 582 | 10,153 | 32.1% | 44.6% | |
| 57.39% | 115 | 6.0 | 859 | 12,795 | 66.0% | 50.8% | |
| 56.25% | 112 | 2.7 | 656 | 11,464 | 58.3% | 54.7% | |
| 49.53% | 107 | 5.5 | 732 | 11,865 | 50.0% | 49.1% | |
| 56.60% | 106 | 1.5 | 614 | 10,594 | 63.6% | 51.6% | |
| 50.48% | 105 | 5.9 | 764 | 12,788 | 47.7% | 52.5% | |
| 47.96% | 98 | 1.5 | 646 | 10,273 | 58.8% | 36.2% | |
| 49.48% | 97 | 1.6 | 737 | 10,100 | 51.9% | 46.5% | |
| 52.63% | 95 | 5.9 | 822 | 12,593 | 48.9% | 56.0% | |
| 43.68% | 87 | 1.5 | 628 | 10,134 | 45.5% | 41.9% | |
| 60.92% | 87 | 5.8 | 825 | 12,770 | 61.0% | 60.9% | |
| 47.62% | 84 | 5.8 | 879 | 13,300 | 47.2% | 47.9% | |
| 50.00% | 76 | 6.1 | 767 | 12,545 | 53.9% | 46.0% | |
| 56.34% | 71 | 1.6 | 643 | 10,673 | 55.6% | 56.8% | |
| 53.62% | 69 | 6.1 | 862 | 13,255 | 54.8% | 52.6% | |
| 55.22% | 67 | 1.7 | 713 | 10,559 | 56.3% | 54.3% | |
| 41.27% | 63 | 1.6 | 582 | 10,006 | 32.4% | 51.7% | |
| 40.98% | 61 | 5.9 | 795 | 12,549 | 52.0% | 33.3% | |
| 56.14% | 57 | 6.2 | 769 | 13,367 | 50.0% | 60.0% | |
| 39.29% | 56 | 6.4 | 843 | 12,192 | 40.6% | 37.5% | |
| 53.70% | 54 | 1.5 | 710 | 10,498 | 47.6% | 57.6% | |
| 42.31% | 52 | 2.5 | 562 | 10,814 | 38.9% | 44.1% | |
| 36.17% | 47 | 4.5 | 692 | 12,299 | 31.6% | 39.3% | |
| 57.78% | 45 | 1.7 | 593 | 9,925 | 65.2% | 50.0% | |
| 68.18% | 44 | 1.7 | 730 | 11,138 | 81.3% | 60.7% | |
| 54.55% | 44 | 6.0 | 910 | 13,579 | 50.0% | 57.1% | |
| 50.00% | 44 | 5.6 | 768 | 12,229 | 52.6% | 48.0% | |
| 55.81% | 43 | 1.8 | 713 | 10,578 | 70.6% | 46.1% | |
| 48.65% | 37 | 5.4 | 692 | 12,024 | 33.3% | 59.1% | |
| 52.78% | 36 | 2.0 | 715 | 10,738 | 61.1% | 44.4% | |
| 37.14% | 35 | 2.1 | 584 | 9,963 | 29.4% | 44.4% | |
| 54.55% | 33 | 3.9 | 708 | 12,052 | 14.3% | 65.4% | |
| 48.28% | 29 | 6.1 | 953 | 13,548 | 61.5% | 37.5% | |
| 67.86% | 28 | 5.4 | 774 | 12,980 | 83.3% | 56.3% | |
| 37.04% | 27 | 1.8 | 592 | 9,939 | 50.0% | 23.1% | |
| 56.00% | 25 | 2.3 | 642 | 11,171 | 40.0% | 66.7% | |
| 52.17% | 23 | 6.2 | 860 | 12,426 | 38.5% | 70.0% | |
| 52.38% | 21 | 6.1 | 903 | 14,077 | 44.4% | 58.3% | |
| 61.90% | 21 | 1.9 | 596 | 8,428 | 71.4% | 42.9% | |
| 40.00% | 20 | 1.5 | 664 | 10,936 | 57.1% | 30.8% | |
| 52.63% | 19 | 2.1 | 661 | 10,753 | 44.4% | 60.0% | |
| 52.94% | 17 | 2.8 | 837 | 12,695 | 57.1% | 50.0% | |
| 23.53% | 17 | 6.2 | 884 | 14,683 | 20.0% | 25.0% | |
| 35.29% | 17 | 5.0 | 706 | 12,601 | 14.3% | 50.0% | |
| 43.75% | 16 | 2.3 | 650 | 11,941 | 33.3% | 50.0% | |
| 53.33% | 15 | 2.1 | 498 | 9,502 | 37.5% | 71.4% | |
| 57.14% | 14 | 2.8 | 772 | 11,702 | 71.4% | 42.9% | |
| 42.86% | 14 | 1.7 | 559 | 8,866 | 12.5% | 83.3% | |
| 42.86% | 14 | 5.9 | 869 | 14,099 | 75.0% | 30.0% | |
| 63.64% | 11 | 6.8 | 887 | 12,055 | 50.0% | 100.0% | |
| 45.45% | 11 | 3.7 | 720 | 11,788 | 20.0% | 66.7% | |
| 72.73% | 11 | 4.2 | 621 | 12,093 | 100.0% | 62.5% | |
| 50.00% | 10 | 3.0 | 846 | 10,730 | 50.0% | 50.0% | |
| 60.00% | 10 | 1.8 | 615 | 9,070 | 50.0% | 66.7% | |
| 50.00% | 10 | 3.7 | 949 | 11,814 | 60.0% | 40.0% | |
| 60.00% | 10 | 2.0 | 804 | 12,391 | 50.0% | 62.5% | |
| 50.00% | 10 | 1.7 | 624 | 9,601 | 25.0% | 66.7% | |
| 30.00% | 10 | 1.9 | 634 | 11,318 | 0.0% | 42.9% | |
| 40.00% | 10 | 5.7 | 748 | 10,967 | 40.0% | 40.0% | |
| 50.00% | 10 | 1.6 | 571 | 10,362 | 33.3% | 57.1% | |
| 70.00% | 10 | 3.0 | 666 | 12,296 | 50.0% | 83.3% | |
| 60.00% | 10 | 5.6 | 838 | 13,410 | 0.0% | 66.7% | |
| 66.67% | 9 | 5.9 | 561 | 11,327 | 66.7% | 66.7% | |
| 33.33% | 9 | 4.3 | 842 | 13,146 | 25.0% | 40.0% | |
| 100.00% | 9 | 2.8 | 776 | 10,063 | 100.0% | 100.0% | |
| 44.44% | 9 | 1.8 | 665 | 9,949 | 75.0% | 20.0% | |
| 25.00% | 8 | 4.5 | 615 | 9,760 | 33.3% | 20.0% | |
| 62.50% | 8 | 2.9 | 779 | 11,749 | 50.0% | 75.0% | |
| 25.00% | 8 | 3.5 | 504 | 8,141 | 50.0% | 0.0% | |
| 14.29% | 7 | 1.5 | 625 | 8,882 | 0.0% | 33.3% | |
| 42.86% | 7 | 4.8 | 646 | 10,222 | 33.3% | 50.0% | |
| 42.86% | 7 | 4.9 | 1,195 | 11,305 | 33.3% | 50.0% | |
| 28.57% | 7 | 3.9 | 583 | 11,679 | 0.0% | 50.0% | |
| 33.33% | 6 | 3.7 | 558 | 8,169 | 25.0% | 50.0% | |
| 33.33% | 6 | 1.8 | 675 | 12,096 | 50.0% | 25.0% | |
| 83.33% | 6 | 2.8 | 470 | 11,681 | 100.0% | 75.0% | |
| 33.33% | 6 | 3.8 | 627 | 12,555 | 0.0% | 40.0% | |
| 50.00% | 6 | 4.3 | 772 | 13,798 | 66.7% | 33.3% | |
| 33.33% | 6 | 1.9 | 568 | 10,504 | 50.0% | 25.0% | |
| 40.00% | 5 | 3.1 | 785 | 9,310 | 33.3% | 50.0% | |
| 80.00% | 5 | 1.4 | 860 | 9,546 | 66.7% | 100.0% | |
| 60.00% | 5 | 3.2 | 751 | 11,747 | 66.7% | 50.0% | |
| 20.00% | 5 | 4.8 | 599 | 9,319 | 0.0% | 50.0% | |
| 40.00% | 5 | 4.9 | 703 | 12,907 | 0.0% | 40.0% | |
| 40.00% | 5 | 2.1 | 863 | 8,088 | 0.0% | 66.7% | |
| 60.00% | 5 | 3.8 | 475 | 12,861 | 100.0% | 0.0% | |
| 20.00% | 5 | 5.6 | 1,021 | 11,314 | 0.0% | 50.0% | |
| 20.00% | 5 | 4.9 | 646 | 9,342 | 25.0% | 0.0% | |
| 80.00% | 5 | 5.3 | 897 | 13,097 | 100.0% | 66.7% | |
| 80.00% | 5 | 5.4 | 860 | 11,002 | 100.0% | 50.0% | |
| 80.00% | 5 | 3.0 | 531 | 9,588 | 66.7% | 100.0% | |
| 60.00% | 5 | 4.7 | 581 | 11,344 | 50.0% | 66.7% | |
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Senna vs Kog'Maw - Frequently Asked Questions
How does Senna do against Kog'Maw in League of Legends?
Senna wins the Senna vs Kog'Maw matchup with a 50.0% win rate compared to Kog'Maw's 50.0%, a 0.0 percentage point difference. This data is based on 44 recent ranked games in patch 26.11.
How does Senna do against Kog'Maw in the early game?
In the early game, Senna has the advantage against Kog'Maw with a 52.6% win rate versus 47.4%. Senna players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Senna do against Kog'Maw in the late game?
In the late game, Kog'Maw takes over the Senna vs Kog'Maw matchup with a 52.0% win rate compared to 48.0%. Kog'Maw scales better into team fights and objective contests after 25 minutes.
Who wins the Senna vs Kog'Maw matchup?
Senna wins the matchup against Kog'Maw with a 50.0% win rate in League of Legends patch 26.11. The 0.0 percentage point advantage means Senna is slightly favored in this lane matchup based on 44 games analyzed.
What is the best Senna build against Kog'Maw?
The best Senna build against Kog'Maw includes Rapid Firecannon, Statikk Shiv, Black Cleaver with Swiftmarch. Check the matchup breakdown above for the full item path and build order.
What are the best Senna runes against Kog'Maw?
The best Senna runes against Kog'Maw use the Sorcery primary tree with Precision secondary. This rune setup achieves a 56.3% win rate in the Senna vs Kog'Maw matchup. See the full rune breakdown in the matchup comparison above.
Does Senna counter Kog'Maw?
Yes, Senna has a favorable matchup against Kog'Maw with a 50.0% win rate. Senna slightly edges out Kog'Maw in lane based on current patch 26.11 data.
How do I play Senna against Kog'Maw?
When playing Senna 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.