
Karthusvs Morgana
Karthus vs Morgana is a very close matchup in LoL patch 26.4. Karthus wins with a 50.0% win rate (+0.0%) over Morgana based on 6 games. Karthus holds the advantage in both the early and late game. Below you'll find the best Karthus build, runes, laning stats, and strategies for the Karthus vs Morgana matchup.
Karthus Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Karthus 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 Karthus vs Morgana Matchup?

Karthus vs Morgana Matchup Summary
The Karthus vs Morgana matchup is essentially a coin-flip matchup in League of Legends ranked play. Based on 6 recent matches analyzed, Karthus wins with a 50.0% win rate compared to Morgana's 50.0%, giving Karthus a 0.0 percentage point advantage. Karthus holds a slight edge in both the early and late game, but the margins are thin enough that individual skill and jungle attention will often determine the outcome. Morgana can still find windows through outplays and team coordination. The most significant statistical gap is in crowd control, where Morgana leads by 1.8s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Karthus has a statistical edge, but the margin is close enough that respecting Morgana'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.
Karthus vs Morgana Laning Phase Breakdown
Morgana is favored during the laning phase against Karthus, winning 4 out of 5 key stat categories. Morgana holds advantages in damage, gold income, crowd control and sustain, making them the stronger laner in this matchup.
Best Karthus Build Against Morgana
Sorcerer's Shoes is the optimal boots choice against Morgana, providing the mobility and stats Karthus needs most in this matchup. The top-performing core items for Karthus against Morgana are Shadowflame, Zhonya's Hourglass and Void Staff. This combination gives Karthus 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 Morgana. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Karthus vs Morgana matchup.
Early Game vs Late Game
The early game (first 15 minutes) is a toss-up between Karthus and Morgana, with Karthus 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.
Late game (25+ minutes) is equally balanced, with Karthus at 50.0% win rate — only 0.0 points ahead of Morgana. Team fight execution and macro play determine the winner at this stage, not champion matchup advantage.
This matchup is remarkably even at every stage of the game. Neither Karthus nor Morgana has a phase-specific advantage, making this a pure skill matchup where individual mechanics, decision-making, and team coordination determine the outcome.
Best Karthus Runes Against Morgana
The Domination primary with Precision secondary combination helps Karthus maximize their potential in this closely contested matchup, providing the right mix of offensive and defensive tools to edge out Morgana.
Karthus matchup data for League of Legends patch 26.4. The table below shows Karthus'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 Karthus 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 |
|---|---|---|---|---|---|---|---|
| 46.15% | 91 | 1.3 | 1,120 | 14,205 | 43.6% | 48.1% | |
| 53.75% | 80 | 1.4 | 1,170 | 13,996 | 51.4% | 55.8% | |
| 50.82% | 61 | 1.5 | 1,057 | 13,986 | 46.9% | 55.2% | |
| 29.63% | 54 | 1.4 | 1,016 | 12,846 | 37.0% | 22.2% | |
| 40.74% | 54 | 1.2 | 1,000 | 13,576 | 52.0% | 31.0% | |
| 52.83% | 53 | 1.3 | 1,102 | 14,431 | 38.9% | 60.0% | |
| 50.00% | 45 | 1.5 | 1,190 | 13,930 | 33.3% | 65.2% | |
| 40.91% | 45 | 1.8 | 1,249 | 12,875 | 30.4% | 52.4% | |
| 45.45% | 44 | 1.5 | 1,191 | 15,818 | 57.1% | 40.0% | |
| 52.50% | 40 | 1.4 | 1,236 | 14,936 | 35.3% | 65.2% | |
| 32.43% | 38 | 2.2 | 1,191 | 13,009 | 17.6% | 45.0% | |
| 34.21% | 38 | 1.7 | 1,178 | 13,809 | 43.8% | 27.3% | |
| 45.71% | 35 | 1.4 | 1,164 | 15,700 | 25.0% | 51.9% | |
| 42.86% | 35 | 2.3 | 1,167 | 13,806 | 47.4% | 37.5% | |
| 62.50% | 33 | 1.5 | 1,089 | 14,674 | 53.3% | 70.6% | |
| 48.48% | 33 | 1.4 | 1,171 | 15,069 | 72.7% | 36.4% | |
| 65.63% | 33 | 1.4 | 1,216 | 14,022 | 75.0% | 60.0% | |
| 62.50% | 32 | 6.5 | 1,189 | 14,626 | 55.6% | 71.4% | |
| 64.52% | 31 | 2.8 | 1,253 | 15,724 | 50.0% | 71.4% | |
| 48.39% | 31 | 2.1 | 1,175 | 15,097 | 44.4% | 50.0% | |
| 53.33% | 30 | 1.3 | 1,210 | 14,877 | 60.0% | 50.0% | |
| 46.67% | 30 | 1.4 | 1,191 | 14,728 | 25.0% | 61.1% | |
| 40.00% | 30 | 1.5 | 1,118 | 13,173 | 25.0% | 57.1% | |
| 44.83% | 29 | 1.8 | 1,241 | 15,383 | 44.4% | 45.0% | |
| 39.29% | 28 | 2.5 | 1,075 | 12,064 | 26.7% | 53.9% | |
| 35.71% | 28 | 7.1 | 1,290 | 14,721 | 44.4% | 31.6% | |
| 57.14% | 28 | 7.1 | 1,297 | 15,280 | 41.7% | 68.8% | |
| 51.85% | 27 | 1.4 | 1,228 | 14,684 | 46.7% | 58.3% | |
| 44.00% | 25 | 1.6 | 1,119 | 13,324 | 50.0% | 40.0% | |
| 72.00% | 25 | 6.3 | 1,277 | 13,059 | 66.7% | 80.0% | |
| 56.52% | 24 | 1.4 | 1,191 | 15,351 | 40.0% | 69.2% | |
| 52.17% | 24 | 2.6 | 1,124 | 13,878 | 54.5% | 50.0% | |
| 43.48% | 24 | 3.2 | 1,399 | 17,314 | 33.3% | 45.0% | |
| 63.64% | 23 | 1.6 | 1,136 | 14,340 | 70.0% | 58.3% | |
| 52.17% | 23 | 1.8 | 1,071 | 12,130 | 52.9% | 50.0% | |
| 50.00% | 22 | 2.7 | 1,114 | 14,470 | 33.3% | 61.5% | |
| 54.55% | 22 | 1.4 | 1,010 | 12,483 | 53.9% | 55.6% | |
| 63.16% | 21 | 6.7 | 1,136 | 14,480 | 55.6% | 70.0% | |
| 52.38% | 21 | 1.8 | 1,180 | 14,647 | 60.0% | 45.5% | |
| 31.58% | 19 | 1.5 | 1,146 | 15,290 | 33.3% | 30.8% | |
| 72.22% | 18 | 1.5 | 1,113 | 15,767 | 85.7% | 63.6% | |
| 38.89% | 18 | 6.6 | 1,527 | 15,772 | 50.0% | 30.0% | |
| 55.56% | 18 | 7.0 | 1,222 | 14,455 | 50.0% | 62.5% | |
| 55.56% | 18 | 6.4 | 1,391 | 14,924 | 50.0% | 58.3% | |
| 35.29% | 17 | 1.2 | 1,076 | 13,707 | 12.5% | 55.6% | |
| 64.71% | 17 | 1.3 | 1,093 | 14,461 | 50.0% | 72.7% | |
| 58.82% | 17 | 6.8 | 1,212 | 13,672 | 40.0% | 66.7% | |
| 25.00% | 16 | 6.1 | 1,419 | 13,997 | 33.3% | 14.3% | |
| 37.50% | 16 | 4.7 | 957 | 10,619 | 50.0% | 25.0% | |
| 50.00% | 15 | 2.6 | 1,404 | 16,464 | 60.0% | 44.4% | |
| 28.57% | 15 | 1.7 | 1,341 | 13,512 | 50.0% | 12.5% | |
| 26.67% | 15 | 3.0 | 1,164 | 15,023 | 50.0% | 18.2% | |
| 50.00% | 14 | 6.6 | 1,299 | 14,190 | 33.3% | 80.0% | |
| 50.00% | 14 | 6.9 | 1,256 | 14,709 | 60.0% | 44.4% | |
| 21.43% | 14 | 1.9 | 1,356 | 14,816 | 25.0% | 20.0% | |
| 42.86% | 14 | 0.9 | 943 | 12,127 | 40.0% | 50.0% | |
| 42.86% | 14 | 1.3 | 954 | 13,811 | 80.0% | 22.2% | |
| 64.29% | 14 | 1.2 | 1,154 | 15,286 | 66.7% | 62.5% | |
| 61.54% | 13 | 2.7 | 1,141 | 12,855 | 50.0% | 80.0% | |
| 53.85% | 13 | 6.4 | 1,420 | 14,719 | 57.1% | 50.0% | |
| 30.77% | 13 | 1.8 | 1,063 | 12,255 | 25.0% | 40.0% | |
| 30.77% | 13 | 6.0 | 1,072 | 11,463 | 37.5% | 20.0% | |
| 54.55% | 13 | 6.8 | 1,357 | 16,646 | 100.0% | 44.4% | |
| 61.54% | 13 | 2.4 | 1,135 | 12,877 | 42.9% | 83.3% | |
| 66.67% | 13 | 3.1 | 1,264 | 16,012 | 50.0% | 83.3% | |
| 66.67% | 12 | 5.8 | 1,295 | 15,328 | 33.3% | 77.8% | |
| 72.73% | 11 | 1.1 | 1,272 | 16,663 | 100.0% | 70.0% | |
| 45.45% | 11 | 7.0 | 1,245 | 14,822 | 50.0% | 42.9% | |
| 72.73% | 11 | 6.0 | 1,333 | 13,295 | 83.3% | 60.0% | |
| 54.55% | 11 | 2.2 | 1,177 | 15,165 | 33.3% | 62.5% | |
| 36.36% | 11 | 5.6 | 1,235 | 16,021 | 50.0% | 33.3% | |
| 40.00% | 10 | 6.0 | 1,133 | 10,076 | 37.5% | 50.0% | |
| 50.00% | 10 | 1.8 | 1,217 | 15,398 | 100.0% | 37.5% | |
| 40.00% | 10 | 4.5 | 1,103 | 11,537 | 0.0% | 80.0% | |
| 40.00% | 10 | 6.4 | 1,130 | 11,079 | 50.0% | 33.3% | |
| 22.22% | 9 | 1.5 | 1,222 | 14,725 | 0.0% | 28.6% | |
| 22.22% | 9 | 6.1 | 1,359 | 12,463 | 0.0% | 40.0% | |
| 44.44% | 9 | 0.9 | 1,261 | 15,746 | 33.3% | 50.0% | |
| 55.56% | 9 | 7.1 | 1,174 | 15,106 | 33.3% | 66.7% | |
| 62.50% | 8 | 7.3 | 1,187 | 13,084 | 80.0% | 33.3% | |
| 37.50% | 8 | 4.0 | 1,183 | 14,741 | 0.0% | 42.9% | |
| 25.00% | 8 | 1.9 | 1,167 | 15,051 | 33.3% | 20.0% | |
| 50.00% | 8 | 6.2 | 1,029 | 12,254 | 50.0% | 50.0% | |
| 57.14% | 7 | 7.8 | 1,102 | 13,814 | 60.0% | 50.0% | |
| 42.86% | 7 | 2.3 | 1,114 | 14,123 | 0.0% | 50.0% | |
| 28.57% | 7 | 0.7 | 1,441 | 14,470 | 0.0% | 28.6% | |
| 42.86% | 7 | 6.5 | 1,288 | 16,051 | 0.0% | 50.0% | |
| 42.86% | 7 | 7.0 | 1,113 | 10,617 | 42.9% | 0.0% | |
| 71.43% | 7 | 6.0 | 1,187 | 12,404 | 50.0% | 100.0% | |
| 66.67% | 6 | 1.1 | 1,099 | 13,683 | 66.7% | 66.7% | |
| 50.00% | 6 | 4.2 | 980 | 14,274 | 0.0% | 50.0% | |
| 83.33% | 6 | 2.6 | 1,116 | 12,360 | 66.7% | 100.0% | |
| 50.00% | 6 | 7.2 | 1,456 | 14,141 | 100.0% | 25.0% | |
| 83.33% | 6 | 6.7 | 978 | 11,800 | 75.0% | 100.0% | |
| 50.00% | 6 | 3.8 | 1,022 | 13,025 | 100.0% | 40.0% | |
| 33.33% | 6 | 1.7 | 1,245 | 13,260 | 50.0% | 25.0% | |
| 83.33% | 6 | 6.1 | 1,398 | 13,268 | 75.0% | 100.0% | |
| 66.67% | 6 | 7.4 | 1,179 | 14,684 | 100.0% | 50.0% | |
| 50.00% | 6 | 5.8 | 1,148 | 12,202 | 66.7% | 33.3% | |
| 50.00% | 6 | 6.3 | 1,105 | 11,586 | 50.0% | 50.0% | |
| 20.00% | 5 | 1.9 | 1,157 | 15,639 | 50.0% | 0.0% | |
| 40.00% | 5 | 1.3 | 1,189 | 15,253 | 50.0% | 33.3% | |
| 60.00% | 5 | 3.7 | 1,426 | 12,666 | 33.3% | 100.0% | |
| 50.00% | 5 | 6.1 | 1,476 | 13,468 | 0.0% | 66.7% | |
| 0.00% | 5 | 5.9 | 1,437 | 15,443 | 0.0% | 0.0% | |
| 60.00% | 5 | 3.2 | 1,307 | 14,549 | 0.0% | 100.0% | |
| 20.00% | 5 | 2.5 | 1,322 | 15,760 | 0.0% | 25.0% | |
| 40.00% | 5 | 3.5 | 1,362 | 15,067 | 0.0% | 50.0% | |
| 60.00% | 5 | 7.8 | 897 | 9,918 | 33.3% | 100.0% | |
| 0.00% | 5 | 7.2 | 853 | 11,885 | 0.0% | 0.0% | |
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Karthus vs Morgana - Frequently Asked Questions
How does Karthus do against Morgana in League of Legends?
Karthus wins the Karthus vs Morgana matchup with a 50.0% win rate compared to Morgana's 50.0%, a 0.0 percentage point difference. This data is based on 6 recent ranked games in patch 26.4.
How does Karthus do against Morgana in the early game?
In the early game, Karthus has the advantage against Morgana with a 0.0% win rate versus 0.0%. Karthus players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Karthus do against Morgana in the late game?
In the late game, Karthus takes over the Karthus vs Morgana matchup with a 50.0% win rate compared to 50.0%. Karthus scales better into team fights and objective contests after 25 minutes.
Who wins the Karthus vs Morgana matchup?
Karthus wins the matchup against Morgana with a 50.0% win rate in League of Legends patch 26.4. The 0.0 percentage point advantage means Karthus is slightly favored in this lane matchup based on 6 games analyzed.
What is the best Karthus build against Morgana?
The best Karthus build against Morgana includes Shadowflame, Zhonya's Hourglass, Void Staff with Sorcerer's Shoes. 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 Karthus runes against Morgana?
The best Karthus runes against Morgana use the Domination primary tree with Precision secondary. This rune setup achieves a 100.0% win rate in the Karthus vs Morgana matchup. See the full rune breakdown in the matchup comparison above.
Does Karthus counter Morgana?
Yes, Karthus has a favorable matchup against Morgana with a 50.0% win rate. Karthus slightly edges out Morgana in lane based on current patch 26.4 data.
How do I play Karthus against Morgana?
When playing Karthus against Morgana, 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.
