Veigarvs Renata Glasc
Veigar vs Renata Glasc is a decisive matchup in LoL patch 26.10. Veigar wins with a 66.7% win rate (+33.3%) over Renata Glasc based on 6 games. Veigar holds the advantage in both the early and late game. Below you'll find the best Veigar build, runes, laning stats, and strategies for the Veigar vs Renata Glasc matchup.
Veigar Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Veigar 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.
Renata Glasc(66.7%)Who Wins the Veigar vs Renata Glasc Matchup?
Veigar vs Renata Glasc Matchup Summary
The Veigar vs Renata Glasc matchup is a decisive matchup in League of Legends ranked play. Based on 6 recent matches analyzed, Veigar wins with a 66.7% win rate compared to Renata Glasc's 33.3%, giving Veigar a 33.3 percentage point advantage. Veigar 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 CS, where Veigar leads by 1.6 CS/min — a difference that heavily influences the outcome of trades and skirmishes. Veigar players can confidently pick into Renata Glasc and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Renata Glasc away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Veigar vs Renata Glasc Laning Phase Breakdown
Veigar is favored during the laning phase against Renata Glasc, winning 3 out of 5 key stat categories. Veigar holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Veigar Build Against Renata Glasc
Sorcerer's Shoes is the optimal boots choice against Renata Glasc, providing the mobility and stats Veigar needs most in this matchup. The top-performing core items for Veigar against Renata Glasc are Luden's Echo, Stormsurge and Rabadon's Deathcap. This combination gives Veigar 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 Veigar vs Renata Glasc matchup.
Early Game vs Late Game
Veigar50.0%Renata Glasc50.0%Veigar75.0%Renata Glasc25.0%The early game (first 15 minutes) is a toss-up between Veigar and Renata Glasc, with Veigar 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.
Veigar is far superior in the late game (25+ minutes), boasting a 75.0% win rate — 50.0 points above Renata Glasc. Extended games heavily favor Veigar, whose kit and scaling make them a dominant force in team fights and objective control.
Veigar 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 Veigar Runes Against Renata Glasc
Sorcery
Domination
Running Sorcery primary with Domination secondary allows Veigar to press their advantage against Renata Glasc, amplifying the strengths that make this a favorable matchup.
Veigar matchup data for League of Legends patch 26.10. The table below shows Veigar'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 Veigar 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 |
|---|---|---|---|---|---|---|---|
| 50.12% | 413 | 6.8 | 892 | 12,682 | 46.7% | 52.4% | |
| 53.74% | 374 | 6.6 | 942 | 12,575 | 50.0% | 56.6% | |
| 48.67% | 300 | 6.2 | 858 | 11,821 | 48.1% | 49.1% | |
| 46.30% | 270 | 6.2 | 820 | 11,625 | 51.3% | 42.4% | |
| 44.74% | 266 | 5.6 | 795 | 11,896 | 35.7% | 50.0% | |
| 48.41% | 252 | 6.2 | 829 | 11,620 | 45.8% | 50.3% | |
| 53.85% | 221 | 6.4 | 988 | 11,639 | 54.9% | 52.9% | |
| 47.96% | 221 | 6.8 | 935 | 13,656 | 50.0% | 46.7% | |
| 47.49% | 219 | 6.2 | 830 | 12,103 | 47.6% | 47.5% | |
| 50.72% | 207 | 6.5 | 953 | 12,416 | 47.1% | 53.3% | |
| 45.77% | 202 | 6.3 | 829 | 11,659 | 40.5% | 49.6% | |
| 53.23% | 186 | 6.0 | 907 | 12,375 | 51.2% | 54.8% | |
| 51.11% | 180 | 6.8 | 883 | 12,561 | 44.8% | 54.9% | |
| 46.02% | 176 | 6.0 | 890 | 11,919 | 40.9% | 49.5% | |
| 38.64% | 176 | 5.9 | 913 | 12,617 | 38.2% | 38.9% | |
| 51.77% | 141 | 6.3 | 897 | 13,515 | 50.9% | 52.3% | |
| 55.22% | 134 | 6.5 | 862 | 12,295 | 46.3% | 61.3% | |
| 52.67% | 131 | 6.1 | 945 | 12,425 | 55.6% | 51.2% | |
| 47.24% | 127 | 6.5 | 979 | 12,479 | 42.5% | 50.0% | |
| 45.24% | 126 | 6.5 | 1,041 | 12,306 | 29.2% | 55.1% | |
| 56.35% | 126 | 6.5 | 985 | 12,912 | 54.5% | 57.3% | |
| 44.00% | 125 | 6.4 | 902 | 12,047 | 46.9% | 42.1% | |
| 54.70% | 117 | 6.3 | 907 | 13,049 | 62.0% | 49.3% | |
| 58.62% | 116 | 6.5 | 954 | 13,312 | 48.7% | 63.6% | |
| 56.14% | 114 | 6.5 | 880 | 12,179 | 60.0% | 54.0% | |
| 47.17% | 106 | 6.4 | 844 | 11,521 | 40.8% | 52.6% | |
| 51.96% | 102 | 6.4 | 869 | 11,544 | 51.0% | 52.8% | |
| 58.16% | 98 | 6.2 | 911 | 11,062 | 56.5% | 59.6% | |
| 63.92% | 97 | 6.0 | 834 | 12,369 | 62.2% | 65.0% | |
| 46.32% | 95 | 6.1 | 936 | 13,182 | 54.3% | 41.7% | |
| 65.96% | 94 | 6.3 | 847 | 12,919 | 62.5% | 68.5% | |
| 54.84% | 93 | 6.9 | 936 | 12,735 | 51.2% | 58.0% | |
| 50.00% | 92 | 6.4 | 1,000 | 12,296 | 48.5% | 50.9% | |
| 58.14% | 86 | 6.8 | 949 | 12,909 | 47.2% | 66.0% | |
| 51.81% | 83 | 6.3 | 841 | 12,911 | 57.9% | 50.0% | |
| 54.22% | 83 | 6.6 | 998 | 12,755 | 58.6% | 51.9% | |
| 55.42% | 83 | 6.5 | 920 | 12,876 | 61.5% | 50.0% | |
| 50.00% | 82 | 6.6 | 890 | 13,070 | 54.5% | 46.9% | |
| 44.74% | 76 | 6.4 | 857 | 12,273 | 47.2% | 42.5% | |
| 52.00% | 75 | 6.5 | 918 | 12,227 | 51.7% | 52.2% | |
| 43.24% | 74 | 5.4 | 797 | 11,374 | 48.5% | 39.0% | |
| 52.05% | 73 | 7.2 | 951 | 12,049 | 57.5% | 45.5% | |
| 48.57% | 70 | 6.1 | 952 | 13,076 | 50.0% | 47.6% | |
| 47.14% | 70 | 3.9 | 763 | 11,188 | 41.7% | 50.0% | |
| 50.00% | 70 | 4.3 | 729 | 10,508 | 53.3% | 47.5% | |
| 38.10% | 63 | 3.9 | 824 | 11,790 | 35.0% | 39.5% | |
| 65.52% | 58 | 6.9 | 974 | 12,600 | 74.1% | 58.1% | |
| 45.61% | 57 | 5.5 | 1,002 | 12,414 | 42.9% | 47.2% | |
| 49.09% | 55 | 6.7 | 877 | 11,959 | 46.1% | 51.7% | |
| 40.38% | 52 | 6.5 | 943 | 11,934 | 27.3% | 50.0% | |
| 52.00% | 50 | 6.3 | 985 | 13,334 | 50.0% | 53.3% | |
| 57.14% | 49 | 6.5 | 953 | 12,884 | 68.4% | 50.0% | |
| 57.14% | 49 | 6.5 | 922 | 12,396 | 57.9% | 56.7% | |
| 57.14% | 49 | 5.9 | 939 | 12,496 | 53.3% | 58.8% | |
| 51.02% | 49 | 6.8 | 951 | 11,692 | 50.0% | 51.9% | |
| 45.65% | 46 | 6.5 | 873 | 14,089 | 60.0% | 34.6% | |
| 50.00% | 40 | 6.5 | 1,090 | 12,058 | 45.0% | 55.0% | |
| 58.97% | 39 | 2.5 | 675 | 10,162 | 65.0% | 52.6% | |
| 56.41% | 39 | 6.7 | 838 | 11,227 | 66.7% | 44.4% | |
| 57.89% | 38 | 4.7 | 938 | 12,381 | 41.7% | 65.4% | |
| 56.76% | 37 | 6.5 | 1,058 | 13,437 | 64.3% | 52.2% | |
| 41.67% | 36 | 5.5 | 844 | 11,512 | 41.7% | 41.7% | |
| 37.14% | 35 | 6.9 | 833 | 12,544 | 21.4% | 47.6% | |
| 58.82% | 34 | 2.5 | 671 | 10,229 | 61.5% | 57.1% | |
| 55.88% | 34 | 6.4 | 916 | 12,184 | 47.6% | 69.2% | |
| 44.12% | 34 | 6.1 | 840 | 13,581 | 42.9% | 44.4% | |
| 51.52% | 33 | 6.7 | 1,121 | 12,496 | 38.5% | 60.0% | |
| 46.88% | 32 | 6.8 | 1,021 | 13,546 | 50.0% | 45.0% | |
| 62.50% | 32 | 6.4 | 1,144 | 13,772 | 66.7% | 58.8% | |
| 65.52% | 29 | 6.7 | 1,035 | 13,613 | 75.0% | 58.8% | |
| 60.71% | 28 | 3.0 | 754 | 9,925 | 53.9% | 66.7% | |
| 61.54% | 26 | 6.3 | 943 | 12,167 | 60.0% | 63.6% | |
| 50.00% | 26 | 2.6 | 741 | 11,745 | 57.1% | 47.4% | |
| 68.00% | 25 | 2.4 | 750 | 11,432 | 70.0% | 66.7% | |
| 60.00% | 25 | 5.4 | 952 | 12,409 | 70.0% | 53.3% | |
| 48.00% | 25 | 6.6 | 870 | 13,827 | 66.7% | 30.8% | |
| 25.00% | 24 | 4.6 | 775 | 12,462 | 33.3% | 22.2% | |
| 37.50% | 24 | 6.1 | 1,134 | 13,543 | 57.1% | 29.4% | |
| 62.50% | 24 | 6.6 | 943 | 11,222 | 57.1% | 70.0% | |
| 43.48% | 23 | 6.8 | 988 | 12,683 | 41.7% | 45.5% | |
| 47.83% | 23 | 7.0 | 1,024 | 11,116 | 64.3% | 22.2% | |
| 52.17% | 23 | 2.4 | 657 | 9,327 | 46.1% | 60.0% | |
| 43.48% | 23 | 6.4 | 720 | 12,253 | 50.0% | 40.0% | |
| 52.17% | 23 | 6.6 | 971 | 14,033 | 42.9% | 56.3% | |
| 76.19% | 21 | 7.5 | 1,260 | 12,761 | 72.7% | 80.0% | |
| 60.00% | 20 | 6.5 | 998 | 12,703 | 80.0% | 40.0% | |
| 60.00% | 20 | 7.0 | 1,035 | 13,448 | 60.0% | 60.0% | |
| 45.00% | 20 | 4.5 | 1,010 | 11,926 | 33.3% | 54.5% | |
| 68.42% | 19 | 2.6 | 824 | 11,851 | 75.0% | 63.6% | |
| 42.11% | 19 | 2.7 | 663 | 11,059 | 42.9% | 41.7% | |
| 52.63% | 19 | 6.9 | 1,102 | 14,429 | 33.3% | 56.3% | |
| 61.11% | 18 | 5.1 | 915 | 12,480 | 66.7% | 58.3% | |
| 61.11% | 18 | 2.4 | 816 | 11,082 | 50.0% | 66.7% | |
| 44.44% | 18 | 6.4 | 902 | 13,073 | 40.0% | 46.1% | |
| 41.18% | 17 | 2.7 | 491 | 10,644 | 20.0% | 50.0% | |
| 76.47% | 17 | 6.3 | 1,170 | 14,522 | 75.0% | 76.9% | |
| 52.94% | 17 | 6.7 | 791 | 11,047 | 33.3% | 75.0% | |
| 47.06% | 17 | 6.9 | 1,068 | 13,740 | 50.0% | 44.4% | |
| 56.25% | 16 | 5.9 | 868 | 11,941 | 50.0% | 58.3% | |
| 46.67% | 15 | 7.0 | 951 | 14,656 | 40.0% | 50.0% | |
| 53.33% | 15 | 6.0 | 828 | 10,817 | 28.6% | 75.0% | |
| 53.33% | 15 | 6.4 | 1,005 | 11,859 | 42.9% | 62.5% | |
| 53.33% | 15 | 6.5 | 986 | 11,534 | 20.0% | 70.0% | |
| 66.67% | 15 | 2.4 | 767 | 9,754 | 50.0% | 77.8% | |
| 57.14% | 14 | 6.3 | 823 | 10,635 | 62.5% | 50.0% | |
| 61.54% | 13 | 2.7 | 680 | 10,991 | 60.0% | 62.5% | |
| 66.67% | 12 | 2.5 | 570 | 8,321 | 62.5% | 75.0% | |
| 50.00% | 12 | 7.0 | 1,011 | 13,524 | 50.0% | 50.0% | |
| 66.67% | 12 | 2.9 | 917 | 10,860 | 40.0% | 85.7% | |
| 58.33% | 12 | 3.8 | 712 | 11,830 | 66.7% | 55.6% | |
| 36.36% | 11 | 6.6 | 725 | 13,454 | 66.7% | 25.0% | |
| 45.45% | 11 | 2.8 | 646 | 9,028 | 37.5% | 66.7% | |
| 45.45% | 11 | 6.2 | 849 | 12,448 | 60.0% | 33.3% | |
| 81.82% | 11 | 2.9 | 773 | 10,115 | 100.0% | 60.0% | |
| 63.64% | 11 | 6.5 | 1,074 | 13,575 | 80.0% | 50.0% | |
| 40.00% | 10 | 6.7 | 890 | 11,967 | 40.0% | 40.0% | |
| 50.00% | 10 | 6.8 | 924 | 14,918 | 100.0% | 37.5% | |
| 10.00% | 10 | 2.7 | 608 | 9,595 | 16.7% | 0.0% | |
| 66.67% | 9 | 5.5 | 1,153 | 12,508 | 40.0% | 100.0% | |
| 55.56% | 9 | 5.9 | 1,359 | 17,189 | 0.0% | 55.6% | |
| 66.67% | 9 | 6.0 | 1,179 | 13,916 | 100.0% | 50.0% | |
| 22.22% | 9 | 6.1 | 1,020 | 10,200 | 40.0% | 0.0% | |
| 37.50% | 8 | 7.0 | 1,133 | 14,515 | 50.0% | 33.3% | |
| 0.00% | 8 | 5.4 | 764 | 8,240 | 0.0% | 0.0% | |
| 25.00% | 8 | 6.3 | 855 | 10,887 | 0.0% | 40.0% | |
| 37.50% | 8 | 3.8 | 1,030 | 13,257 | 50.0% | 33.3% | |
| 62.50% | 8 | 3.8 | 698 | 10,501 | 25.0% | 100.0% | |
| 14.29% | 7 | 5.5 | 962 | 12,152 | 0.0% | 25.0% | |
| 42.86% | 7 | 6.1 | 677 | 10,998 | 66.7% | 25.0% | |
| 42.86% | 7 | 7.2 | 819 | 12,705 | 33.3% | 50.0% | |
| 57.14% | 7 | 5.8 | 912 | 12,330 | 66.7% | 50.0% | |
| 42.86% | 7 | 2.1 | 507 | 9,909 | 0.0% | 50.0% | |
| 66.67% | 6 | 2.6 | 747 | 11,802 | 50.0% | 75.0% | |
| 33.33% | 6 | 5.1 | 1,158 | 16,676 | 0.0% | 33.3% | |
| 66.67% | 6 | 7.3 | 1,162 | 11,505 | 66.7% | 66.7% | |
| 66.67% | 6 | 5.2 | 768 | 10,263 | 60.0% | 100.0% | |
| 66.67% | 6 | 5.8 | 889 | 14,229 | 100.0% | 60.0% | |
| 50.00% | 6 | 7.0 | 1,434 | 14,405 | 50.0% | 50.0% | |
| 83.33% | 6 | 6.2 | 1,049 | 13,216 | 66.7% | 100.0% | |
| 66.67% | 6 | 6.5 | 1,246 | 15,594 | 50.0% | 75.0% | |
| 16.67% | 6 | 5.8 | 1,030 | 12,134 | 0.0% | 25.0% | |
| 40.00% | 5 | 6.4 | 988 | 7,581 | 50.0% | 0.0% | |
| 40.00% | 5 | 3.8 | 545 | 8,265 | 50.0% | 0.0% | |
| 40.00% | 5 | 4.8 | 1,073 | 10,838 | 33.3% | 50.0% | |
| 60.00% | 5 | 6.5 | 894 | 12,541 | 50.0% | 66.7% | |
Help us maintain accuracy! If you notice incorrect stats, missing data, or any issues, your feedback directly improves the quality of our data for the entire community.
Veigar vs Renata Glasc - Frequently Asked Questions
How does Veigar do against Renata Glasc in League of Legends?
Veigar wins the Veigar vs Renata Glasc matchup with a 66.7% win rate compared to Renata Glasc's 33.3%, a 33.3 percentage point difference. This data is based on 6 recent ranked games in patch 26.10.
How does Veigar do against Renata Glasc in the early game?
In the early game, Veigar has the advantage against Renata Glasc with a 50.0% win rate versus 50.0%. Veigar players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Veigar do against Renata Glasc in the late game?
In the late game, Veigar takes over the Veigar vs Renata Glasc matchup with a 75.0% win rate compared to 25.0%. Veigar scales better into team fights and objective contests after 25 minutes.
Who wins the Veigar vs Renata Glasc matchup?
Veigar wins the matchup against Renata Glasc with a 66.7% win rate in League of Legends patch 26.10. The 33.3 percentage point advantage means Veigar is significantly favored in this lane matchup based on 6 games analyzed.
What is the best Veigar build against Renata Glasc?
The best Veigar build against Renata Glasc includes Luden's Echo, Stormsurge, Rabadon's Deathcap with Sorcerer's Shoes. Check the matchup breakdown above for the full item path and build order.
What are the best Veigar runes against Renata Glasc?
The best Veigar runes against Renata Glasc use the Sorcery primary tree with Domination secondary. This rune setup achieves a 100.0% win rate in the Veigar vs Renata Glasc matchup. See the full rune breakdown in the matchup comparison above.
Does Veigar counter Renata Glasc?
Yes, Veigar has a favorable matchup against Renata Glasc with a 66.7% win rate. Veigar strongly counters Renata Glasc in lane based on current patch 26.10 data.
How do I play Veigar against Renata Glasc?
When playing Veigar 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.