
Nautilusvs Hwei
Nautilus vs Hwei is a decisive matchup in LoL patch 26.4. Nautilus wins with a 64.0% win rate (+28.0%) over Hwei based on 25 games. Nautilus holds the advantage in both the early and late game. Below you'll find the best Nautilus build, runes, laning stats, and strategies for the Nautilus vs Hwei matchup.
Nautilus Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Nautilus 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 Nautilus vs Hwei Matchup?

Nautilus vs Hwei Matchup Summary
The Nautilus vs Hwei matchup is a decisive matchup in League of Legends ranked play. Based on 25 recent matches analyzed, Nautilus wins with a 64.0% win rate compared to Hwei's 36.0%, giving Nautilus a 28.0 percentage point advantage. Nautilus 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 sustain, where Nautilus leads by 1,025 HP/min — a difference that heavily influences the outcome of trades and skirmishes. Nautilus players can confidently pick into Hwei and play aggressively from level 1. Look to establish lane dominance early through favorable trades and zone Hwei away from CS whenever possible. Understanding these matchup dynamics is essential for champion select decisions and in-game strategy when facing this lane opponent.
Nautilus vs Hwei Laning Phase Breakdown
Hwei is favored during the laning phase against Nautilus, winning 3 out of 5 key stat categories. Hwei holds advantages in farming, damage and gold income, making them the stronger laner in this matchup.
Best Nautilus Build Against Hwei
Plated Steelcaps is the optimal boots choice against Hwei, providing the mobility and stats Nautilus needs most in this matchup. The top-performing core items for Nautilus against Hwei are Locket of the Iron Solari, Thornmail and Bandlepipes. This combination gives Nautilus 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 Hwei. Adjustments may be needed based on team compositions and game state, but this build provides the strongest foundation for the Nautilus vs Hwei matchup.
Early Game vs Late Game
Nautilus dominates the early game (first 15 minutes) with a commanding 66.7% win rate — a 33.3 percentage point lead over Hwei. This lopsided early game means Nautilus can dictate the pace of the lane from level 1, controlling trades, wave state, and river priority.
Nautilus is far superior in the late game (25+ minutes), boasting a 61.5% win rate — 23.1 points above Hwei. Extended games heavily favor Nautilus, whose kit and scaling make them a dominant force in team fights and objective control.
Nautilus 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 Nautilus Runes Against Hwei
Running Resolve primary with Inspiration secondary allows Nautilus to press their advantage against Hwei, amplifying the strengths that make this a favorable matchup.
Nautilus matchup data for League of Legends patch 26.4. The table below shows Nautilus'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 Nautilus 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 |
|---|---|---|---|---|---|---|---|
| 49.24% | 659 | 1.0 | 357 | 8,402 | 49.6% | 48.9% | |
| 48.66% | 636 | 1.1 | 361 | 8,747 | 45.3% | 51.9% | |
| 47.77% | 517 | 1.1 | 372 | 8,705 | 43.2% | 52.3% | |
| 49.61% | 511 | 1.1 | 352 | 8,964 | 41.3% | 56.2% | |
| 45.78% | 452 | 1.1 | 349 | 8,858 | 44.7% | 46.5% | |
| 43.01% | 389 | 1.1 | 351 | 8,400 | 41.8% | 44.4% | |
| 45.12% | 381 | 1.1 | 355 | 8,676 | 43.9% | 46.1% | |
| 48.08% | 369 | 1.1 | 363 | 8,494 | 50.3% | 46.0% | |
| 56.06% | 331 | 1.0 | 385 | 8,858 | 54.9% | 57.1% | |
| 55.56% | 289 | 1.1 | 356 | 8,347 | 52.8% | 58.9% | |
| 57.54% | 287 | 1.1 | 322 | 8,593 | 60.3% | 54.7% | |
| 45.25% | 263 | 1.1 | 378 | 8,224 | 42.3% | 48.8% | |
| 50.19% | 263 | 1.1 | 338 | 8,493 | 48.5% | 51.9% | |
| 50.97% | 261 | 1.1 | 384 | 9,089 | 50.4% | 51.5% | |
| 46.67% | 258 | 1.1 | 391 | 9,063 | 44.5% | 48.0% | |
| 51.57% | 254 | 1.1 | 339 | 8,595 | 50.7% | 52.5% | |
| 52.63% | 251 | 1.1 | 394 | 8,914 | 52.5% | 52.7% | |
| 52.50% | 242 | 1.0 | 391 | 8,748 | 53.7% | 51.3% | |
| 52.04% | 223 | 1.1 | 388 | 9,030 | 49.1% | 54.8% | |
| 47.93% | 217 | 1.1 | 417 | 8,759 | 44.3% | 51.4% | |
| 51.21% | 209 | 1.1 | 433 | 9,028 | 47.4% | 54.5% | |
| 48.08% | 208 | 1.1 | 353 | 8,939 | 44.1% | 51.3% | |
| 50.97% | 207 | 1.1 | 395 | 8,650 | 47.3% | 55.2% | |
| 49.21% | 191 | 1.1 | 344 | 8,463 | 52.1% | 46.4% | |
| 42.11% | 172 | 1.1 | 366 | 8,373 | 45.6% | 38.3% | |
| 50.60% | 167 | 1.1 | 422 | 8,946 | 54.0% | 47.8% | |
| 58.23% | 159 | 1.2 | 404 | 9,457 | 56.1% | 59.8% | |
| 50.39% | 127 | 1.2 | 383 | 8,374 | 53.7% | 46.7% | |
| 46.03% | 126 | 1.1 | 348 | 8,774 | 39.6% | 50.7% | |
| 42.86% | 119 | 1.1 | 393 | 8,580 | 41.3% | 44.6% | |
| 40.17% | 118 | 1.1 | 354 | 8,301 | 42.4% | 37.9% | |
| 54.95% | 111 | 1.1 | 417 | 9,617 | 52.4% | 56.5% | |
| 45.05% | 111 | 1.0 | 388 | 8,628 | 51.7% | 37.7% | |
| 55.10% | 98 | 1.1 | 375 | 9,127 | 46.5% | 61.8% | |
| 53.49% | 87 | 1.0 | 360 | 8,743 | 47.2% | 58.0% | |
| 45.59% | 68 | 1.4 | 433 | 9,399 | 44.8% | 46.1% | |
| 40.00% | 65 | 1.2 | 389 | 9,628 | 32.1% | 46.0% | |
| 52.46% | 61 | 1.6 | 423 | 8,673 | 43.3% | 61.3% | |
| 60.00% | 51 | 1.0 | 393 | 9,833 | 58.8% | 60.6% | |
| 54.55% | 44 | 1.6 | 410 | 9,659 | 57.9% | 52.0% | |
| 51.28% | 40 | 1.1 | 341 | 8,797 | 33.3% | 66.7% | |
| 56.41% | 39 | 1.2 | 371 | 9,176 | 69.2% | 50.0% | |
| 55.26% | 38 | 1.2 | 392 | 9,742 | 66.7% | 50.0% | |
| 58.33% | 37 | 1.1 | 433 | 9,213 | 70.6% | 47.4% | |
| 48.48% | 33 | 1.1 | 376 | 8,831 | 64.7% | 31.3% | |
| 44.83% | 30 | 1.4 | 451 | 9,477 | 38.5% | 50.0% | |
| 36.67% | 30 | 1.1 | 380 | 9,032 | 30.8% | 41.2% | |
| 64.00% | 25 | 1.1 | 346 | 8,396 | 66.7% | 61.5% | |
| 37.50% | 24 | 1.5 | 434 | 8,755 | 27.3% | 46.1% | |
| 43.48% | 23 | 1.7 | 463 | 8,835 | 36.4% | 50.0% | |
| 45.45% | 22 | 2.3 | 480 | 9,410 | 14.3% | 60.0% | |
| 42.86% | 21 | 1.3 | 345 | 9,089 | 33.3% | 50.0% | |
| 57.89% | 19 | 1.6 | 460 | 9,713 | 60.0% | 57.1% | |
| 66.67% | 18 | 1.3 | 439 | 9,540 | 50.0% | 80.0% | |
| 50.00% | 18 | 1.1 | 488 | 9,634 | 36.4% | 71.4% | |
| 35.29% | 17 | 1.1 | 472 | 8,893 | 33.3% | 37.5% | |
| 35.29% | 17 | 1.8 | 430 | 9,437 | 33.3% | 37.5% | |
| 47.06% | 17 | 2.8 | 642 | 9,895 | 55.6% | 37.5% | |
| 52.94% | 17 | 2.2 | 446 | 9,677 | 50.0% | 54.5% | |
| 50.00% | 16 | 0.9 | 388 | 8,586 | 44.4% | 57.1% | |
| 62.50% | 16 | 1.8 | 471 | 9,331 | 83.3% | 50.0% | |
| 33.33% | 15 | 4.5 | 753 | 10,553 | 40.0% | 30.0% | |
| 46.67% | 15 | 4.3 | 549 | 10,162 | 40.0% | 60.0% | |
| 23.08% | 13 | 2.8 | 607 | 8,984 | 25.0% | 20.0% | |
| 46.15% | 13 | 1.3 | 449 | 9,309 | 75.0% | 0.0% | |
| 53.85% | 13 | 1.2 | 419 | 9,848 | 75.0% | 44.4% | |
| 38.46% | 13 | 0.9 | 421 | 7,757 | 37.5% | 40.0% | |
| 38.46% | 13 | 1.1 | 462 | 9,578 | 28.6% | 50.0% | |
| 50.00% | 12 | 1.8 | 531 | 10,168 | 25.0% | 62.5% | |
| 41.67% | 12 | 2.8 | 627 | 9,236 | 28.6% | 60.0% | |
| 25.00% | 12 | 4.3 | 523 | 8,725 | 22.2% | 33.3% | |
| 58.33% | 12 | 1.1 | 437 | 7,754 | 50.0% | 75.0% | |
| 50.00% | 12 | 1.4 | 472 | 10,187 | 28.6% | 80.0% | |
| 54.55% | 11 | 1.1 | 393 | 9,166 | 80.0% | 33.3% | |
| 63.64% | 11 | 1.2 | 448 | 8,406 | 60.0% | 66.7% | |
| 45.45% | 11 | 3.3 | 583 | 10,016 | 0.0% | 71.4% | |
| 36.36% | 11 | 1.3 | 404 | 9,090 | 0.0% | 66.7% | |
| 30.00% | 10 | 1.6 | 522 | 10,686 | 60.0% | 0.0% | |
| 70.00% | 10 | 1.4 | 430 | 7,719 | 71.4% | 66.7% | |
| 50.00% | 10 | 0.9 | 637 | 11,612 | 20.0% | 80.0% | |
| 60.00% | 10 | 1.4 | 374 | 8,561 | 100.0% | 42.9% | |
| 50.00% | 10 | 1.1 | 627 | 11,928 | 75.0% | 33.3% | |
| 20.00% | 10 | 1.1 | 591 | 10,994 | 25.0% | 16.7% | |
| 22.22% | 9 | 1.7 | 511 | 10,979 | 50.0% | 14.3% | |
| 66.67% | 9 | 1.4 | 570 | 11,929 | 66.7% | 66.7% | |
| 37.50% | 8 | 2.5 | 493 | 8,763 | 33.3% | 50.0% | |
| 37.50% | 8 | 2.2 | 586 | 11,532 | 0.0% | 60.0% | |
| 50.00% | 8 | 1.9 | 397 | 8,413 | 50.0% | 50.0% | |
| 50.00% | 8 | 3.6 | 518 | 11,951 | 50.0% | 50.0% | |
| 25.00% | 8 | 2.5 | 509 | 10,255 | 0.0% | 28.6% | |
| 42.86% | 7 | 2.4 | 535 | 11,161 | 33.3% | 50.0% | |
| 85.71% | 7 | 1.2 | 647 | 11,099 | 100.0% | 83.3% | |
| 57.14% | 7 | 4.5 | 520 | 10,104 | 25.0% | 100.0% | |
| 42.86% | 7 | 3.5 | 482 | 9,617 | 33.3% | 50.0% | |
| 57.14% | 7 | 3.0 | 424 | 8,431 | 40.0% | 100.0% | |
| 42.86% | 7 | 1.1 | 425 | 7,390 | 25.0% | 66.7% | |
| 42.86% | 7 | 1.1 | 422 | 8,667 | 25.0% | 66.7% | |
| 85.71% | 7 | 1.4 | 459 | 10,403 | 100.0% | 80.0% | |
| 50.00% | 7 | 1.9 | 396 | 8,922 | 50.0% | 50.0% | |
| 28.57% | 7 | 3.0 | 434 | 8,356 | 20.0% | 50.0% | |
| 42.86% | 7 | 2.2 | 431 | 9,814 | 33.3% | 50.0% | |
| 50.00% | 6 | 2.6 | 390 | 7,551 | 60.0% | 0.0% | |
| 66.67% | 6 | 3.4 | 488 | 10,935 | 100.0% | 50.0% | |
| 66.67% | 6 | 1.9 | 520 | 9,150 | 50.0% | 100.0% | |
| 33.33% | 6 | 2.3 | 388 | 7,960 | 25.0% | 50.0% | |
| 33.33% | 6 | 1.8 | 589 | 12,221 | 100.0% | 20.0% | |
| 50.00% | 6 | 0.8 | 304 | 9,913 | 50.0% | 50.0% | |
| 66.67% | 6 | 1.4 | 521 | 10,913 | 50.0% | 75.0% | |
| 83.33% | 6 | 1.5 | 613 | 9,476 | 66.7% | 100.0% | |
| 50.00% | 6 | 2.3 | 536 | 7,124 | 50.0% | 50.0% | |
| 33.33% | 6 | 2.2 | 525 | 9,647 | 33.3% | 33.3% | |
| 75.00% | 5 | 0.9 | 452 | 12,086 | 0.0% | 75.0% | |
| 60.00% | 5 | 6.9 | 723 | 11,914 | 75.0% | 0.0% | |
| 0.00% | 5 | 1.9 | 388 | 8,885 | 0.0% | 0.0% | |
| 60.00% | 5 | 1.0 | 518 | 11,635 | 66.7% | 50.0% | |
| 20.00% | 5 | 5.0 | 761 | 10,249 | 50.0% | 0.0% | |
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Nautilus vs Hwei - Frequently Asked Questions
How does Nautilus do against Hwei in League of Legends?
Nautilus wins the Nautilus vs Hwei matchup with a 64.0% win rate compared to Hwei's 36.0%, a 28.0 percentage point difference. This data is based on 25 recent ranked games in patch 26.4.
How does Nautilus do against Hwei in the early game?
In the early game, Nautilus has the advantage against Hwei with a 66.7% win rate versus 33.3%. Nautilus players should look to press their lane advantage through aggressive trades and wave control during the first 15 minutes.
How does Nautilus do against Hwei in the late game?
In the late game, Nautilus takes over the Nautilus vs Hwei matchup with a 61.5% win rate compared to 38.5%. Nautilus scales better into team fights and objective contests after 25 minutes.
Who wins the Nautilus vs Hwei matchup?
Nautilus wins the matchup against Hwei with a 64.0% win rate in League of Legends patch 26.4. The 28.0 percentage point advantage means Nautilus is significantly favored in this lane matchup based on 25 games analyzed.
What is the best Nautilus build against Hwei?
The best Nautilus build against Hwei includes Locket of the Iron Solari, Thornmail, Bandlepipes with Plated Steelcaps. 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 Nautilus runes against Hwei?
The best Nautilus runes against Hwei use the Resolve primary tree with Inspiration secondary. This rune setup achieves a 66.7% win rate in the Nautilus vs Hwei matchup. See the full rune breakdown in the matchup comparison above.
Does Nautilus counter Hwei?
Yes, Nautilus has a favorable matchup against Hwei with a 64.0% win rate. Nautilus strongly counters Hwei in lane based on current patch 26.4 data.
How do I play Nautilus against Hwei?
When playing Nautilus against Hwei, 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.
