
Hweivs Samira
Hwei vs Samira is a decisive matchup in LoL patch 26.4. Samira wins with a 62.5% win rate (+25.0%) over Hwei based on 24 games. Samira holds the advantage in both the early and late game. Below you'll find the best Hwei build, runes, laning stats, and strategies for the Hwei vs Samira matchup.
Hwei Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Hwei 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 Hwei vs Samira Matchup?

Hwei vs Samira Matchup Summary
The Hwei vs Samira matchup is a decisive matchup in League of Legends ranked play. Based on 24 recent matches analyzed, Samira wins with a 62.5% win rate compared to Hwei's 37.5%, giving Samira a 25.0 percentage point advantage. Samira dominates at every stage — from early laning through late game team fights. This consistent advantage makes it difficult for Hwei players to find favorable windows, so team-dependent strategies and avoiding solo confrontations are essential. The most significant statistical gap is in crowd control, where Hwei leads by 0.9s CC/min — a difference that heavily influences the outcome of trades and skirmishes. Samira has a strong advantage in this matchup. Hwei players should play defensively, prioritize safe farming under tower, and look for opportunities created by jungle pressure or Samira 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.
Hwei vs Samira Laning Phase Breakdown
Samira is favored during the laning phase against Hwei, winning 3 out of 5 key stat categories. Samira holds advantages in farming, gold income and sustain, making them the stronger laner in this matchup.
Early Game vs Late Game
Samira dominates the early game (first 15 minutes) with a commanding 69.2% win rate — a 38.5 percentage point lead over Hwei. This lopsided early game means Samira can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Samira is far superior in the late game (25+ minutes), boasting a 54.5% win rate — 9.1 points above Hwei. Extended games heavily favor Samira, whose kit and scaling make them a dominant force in team fights and objective control.
Samira holds the advantage at every stage of the game, making this a consistently favorable matchup from lane through late game team fights. Hwei players should look for outplays, team-dependent strategies, and picks rather than relying on scaling to win this matchup.
Best Hwei Runes Against Samira
The Sorcery and Precision rune setup gives Hwei the best tools to compete against Samira in this difficult matchup, compensating for the statistical disadvantages with optimal rune synergies.
Hwei matchup data for League of Legends patch 26.4. The table below shows Hwei'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 Hwei 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 |
|---|---|---|---|---|---|---|---|
| 42.49% | 273 | 6.7 | 924 | 11,360 | 43.5% | 41.6% | |
| 47.09% | 175 | 6.7 | 846 | 11,204 | 48.8% | 45.5% | |
| 50.90% | 170 | 6.8 | 909 | 12,141 | 50.7% | 51.0% | |
| 53.16% | 160 | 5.6 | 868 | 11,867 | 59.7% | 48.4% | |
| 56.15% | 130 | 6.9 | 921 | 12,346 | 55.8% | 56.4% | |
| 44.53% | 129 | 6.6 | 1,031 | 12,761 | 63.4% | 35.6% | |
| 50.85% | 118 | 6.7 | 1,007 | 11,709 | 51.9% | 50.0% | |
| 37.17% | 113 | 5.8 | 858 | 11,773 | 33.3% | 38.8% | |
| 44.34% | 107 | 6.6 | 1,047 | 12,409 | 42.9% | 45.3% | |
| 51.96% | 103 | 6.6 | 972 | 12,091 | 55.0% | 50.0% | |
| 50.00% | 102 | 6.2 | 875 | 11,196 | 46.7% | 52.6% | |
| 47.42% | 98 | 6.7 | 881 | 11,644 | 39.5% | 52.5% | |
| 49.48% | 97 | 6.1 | 962 | 11,376 | 53.5% | 46.3% | |
| 44.79% | 96 | 6.5 | 856 | 10,937 | 42.9% | 46.8% | |
| 54.95% | 92 | 6.3 | 834 | 11,498 | 55.3% | 54.7% | |
| 61.90% | 84 | 6.7 | 993 | 12,663 | 55.3% | 67.4% | |
| 58.54% | 82 | 5.2 | 923 | 12,042 | 58.6% | 58.5% | |
| 53.25% | 77 | 6.8 | 920 | 11,413 | 56.8% | 50.0% | |
| 45.59% | 69 | 6.4 | 887 | 11,565 | 36.0% | 51.2% | |
| 60.29% | 68 | 6.8 | 914 | 11,997 | 55.6% | 63.4% | |
| 39.39% | 66 | 6.2 | 837 | 10,683 | 29.0% | 48.6% | |
| 54.55% | 66 | 6.3 | 879 | 11,702 | 50.0% | 57.1% | |
| 60.32% | 64 | 5.3 | 1,059 | 11,774 | 63.0% | 58.3% | |
| 55.74% | 61 | 6.6 | 924 | 11,609 | 51.6% | 60.0% | |
| 52.54% | 59 | 6.8 | 999 | 11,474 | 50.0% | 54.3% | |
| 59.26% | 54 | 6.3 | 845 | 10,891 | 45.0% | 67.7% | |
| 55.56% | 54 | 7.1 | 1,037 | 12,519 | 53.9% | 57.1% | |
| 58.49% | 53 | 6.5 | 907 | 11,209 | 62.5% | 55.2% | |
| 48.00% | 51 | 6.5 | 980 | 13,377 | 52.4% | 44.8% | |
| 50.00% | 50 | 6.8 | 1,066 | 13,955 | 60.0% | 43.3% | |
| 59.57% | 47 | 6.9 | 1,019 | 11,623 | 59.1% | 60.0% | |
| 46.81% | 47 | 6.3 | 1,011 | 12,703 | 47.4% | 46.4% | |
| 37.78% | 46 | 6.4 | 825 | 10,928 | 22.2% | 48.1% | |
| 48.89% | 45 | 4.0 | 826 | 10,910 | 50.0% | 48.0% | |
| 44.44% | 45 | 1.8 | 773 | 9,735 | 44.4% | 44.4% | |
| 46.67% | 45 | 6.6 | 1,033 | 12,434 | 37.5% | 51.7% | |
| 51.11% | 45 | 7.3 | 879 | 11,815 | 61.9% | 41.7% | |
| 59.09% | 44 | 6.8 | 997 | 12,966 | 38.9% | 73.1% | |
| 51.16% | 43 | 6.6 | 876 | 11,930 | 60.0% | 46.4% | |
| 46.51% | 43 | 7.2 | 1,012 | 11,032 | 47.6% | 45.5% | |
| 53.49% | 43 | 6.8 | 1,147 | 12,563 | 40.0% | 60.7% | |
| 57.14% | 42 | 5.9 | 991 | 12,755 | 64.7% | 52.0% | |
| 36.84% | 39 | 6.8 | 853 | 9,966 | 30.4% | 46.7% | |
| 56.76% | 37 | 7.4 | 984 | 12,273 | 64.7% | 50.0% | |
| 51.43% | 36 | 6.7 | 947 | 11,278 | 55.6% | 47.1% | |
| 36.11% | 36 | 6.0 | 931 | 11,934 | 37.5% | 35.0% | |
| 47.06% | 35 | 5.1 | 886 | 12,542 | 58.3% | 40.9% | |
| 48.57% | 35 | 2.6 | 687 | 10,191 | 55.6% | 46.1% | |
| 45.71% | 35 | 6.2 | 860 | 13,286 | 50.0% | 44.4% | |
| 47.06% | 35 | 6.3 | 900 | 12,141 | 70.0% | 37.5% | |
| 61.76% | 34 | 6.6 | 1,018 | 13,894 | 62.5% | 61.5% | |
| 59.38% | 32 | 1.7 | 798 | 10,260 | 70.0% | 54.5% | |
| 66.67% | 31 | 6.8 | 1,322 | 13,243 | 70.0% | 65.0% | |
| 50.00% | 30 | 2.0 | 733 | 9,250 | 62.5% | 35.7% | |
| 41.38% | 29 | 6.7 | 887 | 11,273 | 41.7% | 41.2% | |
| 48.15% | 27 | 4.1 | 771 | 10,771 | 53.3% | 41.7% | |
| 53.85% | 26 | 6.8 | 952 | 11,981 | 58.3% | 50.0% | |
| 57.69% | 26 | 6.8 | 937 | 13,434 | 71.4% | 41.7% | |
| 38.46% | 26 | 6.8 | 941 | 10,964 | 28.6% | 50.0% | |
| 36.00% | 25 | 1.7 | 639 | 8,990 | 33.3% | 38.5% | |
| 50.00% | 24 | 6.6 | 998 | 12,387 | 57.1% | 47.1% | |
| 41.67% | 24 | 6.6 | 950 | 13,682 | 28.6% | 47.1% | |
| 37.50% | 24 | 6.3 | 921 | 11,766 | 30.8% | 45.5% | |
| 47.83% | 23 | 6.6 | 1,012 | 12,551 | 50.0% | 45.5% | |
| 45.45% | 22 | 7.1 | 955 | 12,677 | 47.1% | 40.0% | |
| 63.64% | 22 | 7.0 | 1,163 | 13,078 | 66.7% | 61.5% | |
| 57.14% | 21 | 1.8 | 768 | 9,688 | 54.5% | 60.0% | |
| 57.14% | 21 | 7.3 | 891 | 11,328 | 66.7% | 44.4% | |
| 28.57% | 21 | 6.6 | 1,307 | 12,490 | 37.5% | 23.1% | |
| 52.63% | 20 | 7.4 | 1,038 | 13,840 | 71.4% | 41.7% | |
| 36.84% | 19 | 7.4 | 984 | 11,646 | 14.3% | 50.0% | |
| 42.11% | 19 | 7.1 | 1,030 | 13,177 | 66.7% | 30.8% | |
| 44.44% | 18 | 5.2 | 868 | 11,703 | 66.7% | 33.3% | |
| 33.33% | 18 | 2.3 | 740 | 9,846 | 42.9% | 27.3% | |
| 66.67% | 18 | 1.6 | 790 | 11,439 | 66.7% | 66.7% | |
| 64.71% | 17 | 4.3 | 923 | 10,835 | 71.4% | 60.0% | |
| 56.25% | 16 | 6.7 | 863 | 13,682 | 75.0% | 50.0% | |
| 62.50% | 16 | 2.1 | 659 | 9,582 | 83.3% | 50.0% | |
| 46.67% | 15 | 2.6 | 715 | 9,800 | 50.0% | 44.4% | |
| 78.57% | 15 | 3.0 | 806 | 10,815 | 80.0% | 77.8% | |
| 57.14% | 14 | 2.2 | 817 | 10,633 | 75.0% | 50.0% | |
| 42.86% | 14 | 6.1 | 916 | 10,950 | 60.0% | 33.3% | |
| 64.29% | 14 | 4.6 | 1,046 | 12,951 | 60.0% | 66.7% | |
| 42.86% | 14 | 1.7 | 787 | 10,451 | 50.0% | 37.5% | |
| 14.29% | 14 | 6.8 | 1,124 | 12,233 | 33.3% | 0.0% | |
| 53.85% | 13 | 1.7 | 586 | 8,718 | 62.5% | 40.0% | |
| 46.15% | 13 | 7.0 | 930 | 11,558 | 42.9% | 50.0% | |
| 50.00% | 12 | 4.0 | 870 | 10,199 | 40.0% | 57.1% | |
| 33.33% | 12 | 1.8 | 572 | 9,322 | 75.0% | 12.5% | |
| 66.67% | 12 | 1.8 | 743 | 9,499 | 75.0% | 62.5% | |
| 41.67% | 12 | 6.0 | 926 | 8,455 | 33.3% | 66.7% | |
| 58.33% | 12 | 6.7 | 880 | 10,854 | 66.7% | 50.0% | |
| 45.45% | 11 | 7.0 | 1,222 | 10,631 | 28.6% | 75.0% | |
| 72.73% | 11 | 7.2 | 977 | 11,082 | 87.5% | 33.3% | |
| 63.64% | 11 | 6.6 | 1,054 | 14,380 | 100.0% | 60.0% | |
| 27.27% | 11 | 6.8 | 1,170 | 15,763 | 66.7% | 12.5% | |
| 30.00% | 10 | 6.6 | 956 | 12,496 | 20.0% | 40.0% | |
| 40.00% | 10 | 2.6 | 890 | 10,869 | 33.3% | 42.9% | |
| 77.78% | 9 | 5.0 | 875 | 11,565 | 80.0% | 75.0% | |
| 62.50% | 9 | 6.3 | 1,120 | 13,385 | 0.0% | 83.3% | |
| 75.00% | 8 | 2.5 | 840 | 10,616 | 66.7% | 80.0% | |
| 75.00% | 8 | 2.4 | 729 | 10,376 | 75.0% | 75.0% | |
| 50.00% | 8 | 6.5 | 1,208 | 13,831 | 0.0% | 66.7% | |
| 57.14% | 7 | 5.9 | 967 | 12,146 | 33.3% | 75.0% | |
| 42.86% | 7 | 5.0 | 1,191 | 11,894 | 33.3% | 50.0% | |
| 28.57% | 7 | 3.9 | 1,029 | 11,335 | 25.0% | 33.3% | |
| 42.86% | 7 | 5.5 | 835 | 10,694 | 50.0% | 33.3% | |
| 28.57% | 7 | 7.1 | 833 | 12,482 | 25.0% | 33.3% | |
| 71.43% | 7 | 6.2 | 1,104 | 12,790 | 0.0% | 100.0% | |
| 71.43% | 7 | 7.1 | 1,264 | 13,385 | 50.0% | 100.0% | |
| 100.00% | 7 | 7.4 | 1,475 | 10,077 | 100.0% | 100.0% | |
| 33.33% | 6 | 2.5 | 910 | 10,765 | 50.0% | 0.0% | |
| 33.33% | 6 | 7.6 | 1,217 | 12,697 | 66.7% | 0.0% | |
| 80.00% | 5 | 1.5 | 778 | 11,914 | 100.0% | 75.0% | |
| 0.00% | 5 | 3.3 | 604 | 6,260 | 0.0% | 0.0% | |
| 60.00% | 5 | 1.4 | 688 | 9,525 | 100.0% | 50.0% | |
| 40.00% | 5 | 7.4 | 1,081 | 13,192 | 100.0% | 25.0% | |
| 40.00% | 5 | 7.9 | 860 | 10,985 | 50.0% | 33.3% | |
| 60.00% | 5 | 4.5 | 1,012 | 12,078 | 100.0% | 50.0% | |
| 40.00% | 5 | 7.3 | 1,484 | 12,156 | 100.0% | 25.0% | |
| 80.00% | 5 | 5.9 | 1,040 | 10,373 | 50.0% | 100.0% | |
| 60.00% | 5 | 6.0 | 952 | 11,590 | 50.0% | 100.0% | |
| 60.00% | 5 | 5.3 | 1,075 | 12,469 | 100.0% | 50.0% | |
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Hwei vs Samira - Frequently Asked Questions
How does Hwei do against Samira in League of Legends?
Samira wins the Hwei vs Samira matchup with a 62.5% win rate compared to Hwei's 37.5%, a 25.0 percentage point difference. This data is based on 24 recent ranked games in patch 26.4.
How does Hwei do against Samira in the early game?
In the early game, Samira has the advantage against Hwei with a 69.2% win rate versus 30.8%. Samira players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Hwei do against Samira in the late game?
In the late game, Samira takes over the Hwei vs Samira matchup with a 54.5% win rate compared to 45.5%. Samira scales better into team fights and objective contests after 25 minutes.
Who wins the Hwei vs Samira matchup?
Samira wins the matchup against Hwei with a 62.5% win rate in League of Legends patch 26.4. The 25.0 percentage point advantage means Samira is significantly favored in this lane matchup based on 24 games analyzed.
What is the best Hwei build against Samira?
The best Hwei build against Samira includes optimized core items. Check the matchup breakdown above for the full item path and build order.
What are the best Hwei runes against Samira?
The best Hwei runes against Samira use the Sorcery primary tree with Precision secondary. This rune setup achieves a 100.0% win rate in the Hwei vs Samira matchup. See the full rune breakdown in the matchup comparison above.
Does Hwei counter Samira?
No, Hwei struggles against Samira with only a 37.5% win rate. Samira has the advantage in this matchup. Hwei players should focus on safe farming and avoiding extended trades to minimize Samira's lead.
How do I play Hwei against Samira?
When playing Hwei against Samira, play cautiously and avoid Samira's power spikes. Look for jungle assistance and team-dependent plays since Samira has the statistical advantage at most stages. Use the matchup-specific build and runes above to optimize your chances.