Karmavs Renata Glasc
Karma vs Renata Glasc is a decisive matchup in LoL patch 26.11. Karma wins with a 52.6% win rate (+5.3%) over Renata Glasc based on 19 games. Karma holds the advantage in both the early and late game. Below you'll find the best Karma build, runes, laning stats, and strategies for the Karma vs Renata Glasc matchup.
Karma Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Karma 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 Karma vs Renata Glasc Matchup?
Karma vs Renata Glasc Matchup Summary
The Karma vs Renata Glasc matchup is a moderate matchup in League of Legends ranked play. Based on 19 recent matches analyzed, Karma wins with a 52.6% win rate compared to Renata Glasc's 47.4%, giving Karma a 5.3 percentage point advantage. Karma dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Renata Glasc 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 Karma leads by 60 DMG/min — a difference that heavily influences the outcome of trades and skirmishes. Karma has a statistical edge, but the margin is close enough that respecting Renata Glasc'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.
Karma vs Renata Glasc Laning Phase Breakdown
Karma is favored during the laning phase against Renata Glasc, winning 4 out of 5 key stat categories. Karma holds advantages in farming, damage, gold income and crowd control, making them the stronger laner in this matchup.
Best Karma Build Against Renata Glasc
Ionian Boots of Lucidity is the optimal boots choice against Renata Glasc, providing the mobility and stats Karma needs most in this matchup. The top-performing core items for Karma against Renata Glasc are Echoes of Helia, Moonstone Renewer and Mikael's Blessing. This combination gives Karma an effective balance of damage, survivability, and utility for the matchup. This build performs exceptionally well, achieving a 100.0% win rate across 2 games — well above average and making it the top item path against Renata Glasc. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Karma vs Renata Glasc matchup.
Early Game vs Late Game
Karma50.0%
Renata Glasc50.0%Karma54.5%Renata Glasc45.5%The early game (first 15 minutes) is a toss-up between Karma and Renata Glasc, with Karma holding a razor-thin 50.0% win rate edge (+0.0%). Individual skill and jungle proximity will matter more than champion advantage in the early laning phase.
Karma is far superior in the late game (25+ minutes), boasting a 54.5% win rate — 9.1 points above Renata Glasc. Extended games heavily favor Karma, whose kit and scaling make them a dominant force in team fights and objective control.
Karma holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Renata Glasc players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Karma Runes Against Renata Glasc
Sorcery
Resolve
Running Sorcery primary with Resolve secondary allows Karma to press their advantage against Renata Glasc, amplifying the strengths that make this a favorable matchup.
Karma matchup data for League of Legends patch 26.11. The table below shows Karma'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 Karma 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 |
|---|---|---|---|---|---|---|---|
| 49.22% | 258 | 1.3 | 387 | 8,853 | 49.5% | 49.0% | |
| 49.50% | 200 | 1.3 | 372 | 8,877 | 40.5% | 54.8% | |
| 46.41% | 181 | 1.3 | 394 | 8,658 | 48.7% | 44.8% | |
| 53.14% | 175 | 1.3 | 387 | 8,667 | 53.2% | 53.1% | |
| 48.13% | 160 | 1.3 | 375 | 8,236 | 48.1% | 48.1% | |
| 49.66% | 145 | 1.3 | 410 | 8,470 | 51.4% | 48.0% | |
| 56.12% | 139 | 1.4 | 399 | 9,180 | 64.4% | 50.0% | |
| 45.67% | 127 | 1.3 | 399 | 8,316 | 52.7% | 35.9% | |
| 46.08% | 102 | 1.3 | 362 | 8,093 | 47.9% | 44.4% | |
| 53.54% | 99 | 1.2 | 420 | 8,560 | 56.3% | 51.0% | |
| 42.27% | 97 | 1.2 | 396 | 8,911 | 33.3% | 48.3% | |
| 54.26% | 94 | 1.5 | 432 | 9,477 | 44.4% | 60.3% | |
| 53.76% | 93 | 1.2 | 365 | 9,374 | 51.7% | 54.7% | |
| 42.86% | 91 | 1.4 | 386 | 9,431 | 43.2% | 42.6% | |
| 35.29% | 85 | 1.3 | 409 | 9,204 | 35.3% | 35.3% | |
| 53.75% | 80 | 1.3 | 380 | 9,143 | 39.3% | 61.5% | |
| 52.86% | 70 | 1.4 | 309 | 7,919 | 50.0% | 57.1% | |
| 35.29% | 68 | 1.3 | 382 | 8,325 | 38.5% | 31.0% | |
| 39.34% | 61 | 1.1 | 359 | 8,637 | 46.7% | 32.3% | |
| 42.62% | 61 | 1.2 | 362 | 8,075 | 44.4% | 41.2% | |
| 48.33% | 60 | 1.3 | 451 | 9,353 | 44.4% | 50.0% | |
| 48.21% | 56 | 1.1 | 411 | 8,493 | 50.0% | 46.4% | |
| 50.94% | 53 | 1.2 | 372 | 8,552 | 56.5% | 46.7% | |
| 52.00% | 50 | 1.2 | 354 | 9,078 | 62.5% | 42.3% | |
| 48.00% | 50 | 1.4 | 461 | 8,990 | 57.1% | 41.4% | |
| 53.06% | 49 | 1.2 | 455 | 8,900 | 39.1% | 65.4% | |
| 51.06% | 47 | 1.3 | 418 | 9,412 | 57.9% | 46.4% | |
| 58.70% | 46 | 1.5 | 401 | 8,141 | 57.1% | 60.0% | |
| 52.38% | 42 | 2.3 | 497 | 10,257 | 58.3% | 50.0% | |
| 26.32% | 38 | 1.3 | 413 | 8,437 | 21.1% | 31.6% | |
| 50.00% | 34 | 1.3 | 391 | 8,339 | 53.3% | 47.4% | |
| 50.00% | 32 | 1.3 | 437 | 9,385 | 66.7% | 40.0% | |
| 62.50% | 24 | 1.1 | 432 | 8,314 | 66.7% | 55.6% | |
| 45.45% | 22 | 1.1 | 360 | 8,176 | 45.5% | 45.5% | |
| 52.63% | 19 | 1.3 | 370 | 9,410 | 50.0% | 54.5% | |
| 64.71% | 17 | 1.6 | 393 | 9,424 | 25.0% | 76.9% | |
| 60.00% | 15 | 1.9 | 564 | 10,056 | 71.4% | 50.0% | |
| 53.33% | 15 | 1.4 | 334 | 8,385 | 70.0% | 20.0% | |
| 66.67% | 15 | 1.5 | 427 | 9,567 | 60.0% | 70.0% | |
| 71.43% | 14 | 2.2 | 433 | 10,064 | 50.0% | 80.0% | |
| 57.14% | 14 | 3.6 | 563 | 8,887 | 37.5% | 83.3% | |
| 35.71% | 14 | 1.3 | 316 | 9,084 | 40.0% | 33.3% | |
| 42.86% | 14 | 1.5 | 388 | 9,901 | 0.0% | 54.5% | |
| 53.85% | 13 | 1.6 | 453 | 8,026 | 50.0% | 57.1% | |
| 61.54% | 13 | 1.7 | 471 | 9,482 | 40.0% | 75.0% | |
| 50.00% | 12 | 5.1 | 677 | 10,738 | 66.7% | 44.4% | |
| 72.73% | 11 | 4.3 | 732 | 9,826 | 100.0% | 57.1% | |
| 60.00% | 10 | 5.0 | 563 | 10,343 | 75.0% | 50.0% | |
| 30.00% | 10 | 3.3 | 409 | 9,375 | 100.0% | 12.5% | |
| 55.56% | 9 | 3.8 | 661 | 11,567 | 50.0% | 57.1% | |
| 33.33% | 9 | 2.7 | 557 | 7,771 | 25.0% | 40.0% | |
| 22.22% | 9 | 1.9 | 401 | 7,817 | 33.3% | 0.0% | |
| 33.33% | 9 | 1.7 | 609 | 8,328 | 33.3% | 33.3% | |
| 33.33% | 9 | 2.6 | 640 | 9,706 | 0.0% | 42.9% | |
| 62.50% | 8 | 6.2 | 607 | 11,729 | 100.0% | 57.1% | |
| 62.50% | 8 | 5.3 | 586 | 9,133 | 50.0% | 75.0% | |
| 62.50% | 8 | 2.6 | 501 | 8,502 | 33.3% | 80.0% | |
| 37.50% | 8 | 3.1 | 513 | 8,660 | 60.0% | 0.0% | |
| 28.57% | 7 | 2.2 | 481 | 9,449 | 25.0% | 33.3% | |
| 42.86% | 7 | 5.0 | 830 | 9,016 | 60.0% | 0.0% | |
| 71.43% | 7 | 1.1 | 434 | 9,673 | 100.0% | 60.0% | |
| 28.57% | 7 | 1.3 | 378 | 8,648 | 33.3% | 25.0% | |
| 33.33% | 6 | 3.1 | 566 | 7,429 | 25.0% | 50.0% | |
| 50.00% | 6 | 4.5 | 771 | 11,126 | 0.0% | 75.0% | |
| 33.33% | 6 | 6.2 | 721 | 11,007 | 50.0% | 25.0% | |
| 40.00% | 5 | 2.3 | 354 | 9,378 | 66.7% | 0.0% | |
| 80.00% | 5 | 5.7 | 625 | 9,922 | 50.0% | 100.0% | |
| 40.00% | 5 | 6.0 | 730 | 11,863 | 100.0% | 25.0% | |
| 40.00% | 5 | 1.3 | 329 | 6,237 | 50.0% | 0.0% | |
| 40.00% | 5 | 4.2 | 721 | 9,291 | 25.0% | 100.0% | |
| 80.00% | 5 | 1.2 | 457 | 9,786 | 100.0% | 50.0% | |
| 60.00% | 5 | 3.1 | 460 | 9,865 | 100.0% | 50.0% | |
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Karma vs Renata Glasc - Frequently Asked Questions
How does Karma do against Renata Glasc in League of Legends?
Karma wins the Karma vs Renata Glasc matchup with a 52.6% win rate compared to Renata Glasc's 47.4%, a 5.3 percentage point difference. This data is based on 19 recent ranked games in patch 26.11.
How does Karma do against Renata Glasc in the early game?
In the early game, Karma has the advantage against Renata Glasc with a 50.0% win rate versus 50.0%. Karma players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Karma do against Renata Glasc in the late game?
In the late game, Karma takes over the Karma vs Renata Glasc matchup with a 54.5% win rate compared to 45.5%. Karma scales better into team fights and objective contests after 25 minutes.
Who wins the Karma vs Renata Glasc matchup?
Karma wins the matchup against Renata Glasc with a 52.6% win rate in League of Legends patch 26.11. The 5.3 percentage point advantage means Karma is significantly favored in this lane matchup based on 19 games analyzed.
What is the best Karma build against Renata Glasc?
The best Karma build against Renata Glasc includes Echoes of Helia, Moonstone Renewer, Mikael's Blessing with Ionian Boots of Lucidity. 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 Karma runes against Renata Glasc?
The best Karma runes against Renata Glasc use the Sorcery primary tree with Resolve secondary. This rune setup achieves a 62.5% win rate in the Karma vs Renata Glasc matchup. See the full rune breakdown in the matchup comparison above.
Does Karma counter Renata Glasc?
Yes, Karma has a favorable matchup against Renata Glasc with a 52.6% win rate. Karma strongly counters Renata Glasc in lane based on current patch 26.11 data.
How do I play Karma against Renata Glasc?
When playing Karma against Renata Glasc, 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.