Last Updated: 10/15/2026 11:16 [UTC]

Aegislash

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.01%Usage Rate
45.89%Win Rate
18.41%Lead Rate
50.33%Selection Rate
1205Avg Rating

6735 recorded team appearances · 3091 wins · 3644 losses · 10/01/2026–10/15/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

King's Shield Recorded use in 1579 of 6735 distinct recorded team appearances (23.4%) 665 winning team uses of 1579 recorded team uses
42.1%
Poltergeist Recorded use in 971 of 6735 distinct recorded team appearances (14.4%) 459 winning team uses of 971 recorded team uses
47.3%
Iron Head Recorded use in 710 of 6735 distinct recorded team appearances (10.5%) 330 winning team uses of 710 recorded team uses
46.5%
Shadow Sneak Recorded use in 532 of 6735 distinct recorded team appearances (7.9%) 258 winning team uses of 532 recorded team uses
48.5%
Shadow Ball Recorded use in 482 of 6735 distinct recorded team appearances (7.2%) 200 winning team uses of 482 recorded team uses
41.5%
Wide Guard Recorded use in 481 of 6735 distinct recorded team appearances (7.1%) 205 winning team uses of 481 recorded team uses
42.6%
Sacred Sword Recorded use in 345 of 6735 distinct recorded team appearances (5.1%) 140 winning team uses of 345 recorded team uses
40.6%
Swords Dance Recorded use in 304 of 6735 distinct recorded team appearances (4.5%) 127 winning team uses of 304 recorded team uses
41.8%
Flash Cannon Recorded use in 239 of 6735 distinct recorded team appearances (3.5%) 115 winning team uses of 239 recorded team uses
48.1%
Close Combat Recorded use in 143 of 6735 distinct recorded team appearances (2.1%) 73 winning team uses of 143 recorded team uses
51.0%

Team win rate among recorded uses · bars centered at 50%

⚠️ Important Note:

  • This data shows moves actually recorded as used in battles, not move adoption rates in team building.
  • Each side counts once per battle for this Pokémon and move, even after repeated uses or duplicate saved records. Both teams in a mirror battle count separately.
  • The use proportion divides recorded team uses by this Pokémon's distinct recorded team appearances under the same period, format, rating and OTS filters. Win rate divides winning team uses by recorded team uses.
  • Unused moves, unselected Pokémon and missing or misattributed move records limit comparisons. Name and form resolution may omit or mix move records. No records do not imply a 0% win rate.
  • These team outcomes do not show that a move increases the chance of winning.
  • For moveset adoption rates, refer to Smogon Stats.

Usage Trend

Win Rate Trend

Usage by rating

Win rate by rating

Chart data
Trends
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
Period 1: 2026/10/01 11:01–2026/10/04 22:39 UTC 1.09 46.31 166048 1818 Observed
Period 2: 2026/10/04 22:39–2026/10/08 10:25 UTC 1.01 46.23 166048 1683 Observed
Period 3: 2026/10/08 10:25–2026/10/11 21:18 UTC 1.05 46.34 166048 1748 Observed
Period 4: 2026/10/11 21:18–2026/10/15 10:58 UTC 0.89 44.48 166048 1486 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1130 1.69 44.65 131466 2226 Observed
~R1206 1.22 44.66 133900 1630 Observed
~R1294 0.96 46.38 131626 1270 Observed
~R1390 0.72 46.36 134222 962 Observed
R1390~ 0.49 51.62 132978 647 Observed

Aegislash Observed Statistics

Performance Metrics

Aegislash has a reported usage rate of 1.01% and win rate of 45.89% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/01/2026 to 10/15/2026 (UTC), with 332,096 recorded battles. 3,091 wins and 3,644 losses (6,735 recorded team appearances). Usage is recorded team appearances divided by twice the report battle count; win rate is wins divided by wins plus losses for teams containing this Pokemon. Neither metric measures individual strength. Small samples can produce extreme percentages.

Usage Trends

Usage was 1.09% in the first available period (Period 1: 2026/10/01 11:01–2026/10/04 22:39 UTC; n=166,048 team slots) and 0.89% in the last available period (Period 4: 2026/10/11 21:18–2026/10/15 10:58 UTC; n=166,048 team slots), a change of -0.20 percentage points. This endpoint comparison does not describe every intervening period or explain the cause; small samples can fluctuate substantially. Periods without sample counts are excluded. Win rate was 46.31% in the first available period (Period 1: 2026/10/01 11:01–2026/10/04 22:39 UTC; n=1,818 recorded appearances) and 44.48% in the last available period (Period 4: 2026/10/11 21:18–2026/10/15 10:58 UTC; n=1,486 recorded appearances), a change of -1.83 percentage points. This endpoint comparison does not describe every intervening period or explain the cause; small samples can fluctuate substantially. Periods without sample counts are excluded.

Rating-band Observations

Across 5 available rating bands, usage ranged from 0.49% (R1390~; n=132,978 team slots) to 1.69% (~R1130; n=131,466 team slots), a spread of 1.20 percentage points. Overall usage was 1.01%. Bands use battle-average ratings, not individual player skill. Missing bands are excluded; differences are descriptive, not evidence of statistical significance.

Recorded Moves

Among the returned moves, King's Shield has the largest recorded team-use count (1,579; ties may occur). Move counts refer to distinct team appearances with a recorded use by this Pokemon, counting each side once per battle. The displayed percentage divides that count by this Pokemon's distinct recorded team appearances under the same report filters. Both sides of a mirror battle count separately. This is not moveset adoption. Unused moves and missing move records cannot be distinguished here. These data do not establish which move is strongest or underused.

Teammate Observations

In the returned frequent-teammate sample: Rillaboom: 47.9% wins in 1,787 recorded pair observations; Garchomp: 48.6% wins in 1,669 recorded pair observations; Incineroar: 48.7% wins in 1,393 recorded pair observations. These are team-level outcomes with both Pokemon on the roster, not a measurement of synergy. Other teammates, player selection and small samples can affect these percentages.

Opponent-team Observations

Returned higher-win-rate opponent group: Gengar: 52.0% wins in 348 recorded pair observations; Dragonite: 49.5% wins in 319 recorded pair observations; Grimmsnarl: 48.0% wins in 358 recorded pair observations. Returned lower-win-rate opponent group: Excadrill: 39.9% wins in 466 recorded pair observations; Staraptor: 41.0% wins in 424 recorded pair observations; Salamence: 41.1% wins in 936 recorded pair observations. Wins refer to the team containing the focal Pokemon when the named Pokemon was on the opposing roster. They are not direct one-on-one results or proof of a counter; sample sizes and other team members matter.

Interpretation Limits

These summaries describe the collected battles within the report period. Team composition, player selection, repeated players and incomplete records can affect results. Differences do not establish causation, statistical significance or a recommended build.

The groups below summarize recorded team outcomes. Partner and opponent win rates do not measure synergy or direct one-on-one matchups. Small samples and other team members can affect results.

Frequent Partners

Most common teammates · bars centered at 50%

Rillaboom
Rillaboom1787 recorded pair observations · 0.54 pair observations per 100 analyzed battles
47.9%
Garchomp
Garchomp1669 recorded pair observations · 0.50 pair observations per 100 analyzed battles
48.6%
Incineroar
Incineroar1393 recorded pair observations · 0.42 pair observations per 100 analyzed battles
48.7%
Milotic
Milotic1054 recorded pair observations · 0.32 pair observations per 100 analyzed battles
48.1%
Indeedee-F
Indeedee-F1001 recorded pair observations · 0.30 pair observations per 100 analyzed battles
43.3%
Sneasler
Sneasler981 recorded pair observations · 0.30 pair observations per 100 analyzed battles
50.5%
Farigiraf
Farigiraf883 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.4%
Whimsicott
Whimsicott788 recorded pair observations · 0.24 pair observations per 100 analyzed battles
43.5%
Staraptor
Staraptor696 recorded pair observations · 0.21 pair observations per 100 analyzed battles
51.7%
Salamence
Salamence645 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.7%
Charizard
Charizard634 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.3%
Tyranitar
Tyranitar628 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.5%
Pelipper
Pelipper622 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.2%
Basculegion
Basculegion572 recorded pair observations · 0.17 pair observations per 100 analyzed battles
53.7%
Primarina
Primarina561 recorded pair observations · 0.17 pair observations per 100 analyzed battles
49.4%
Raichu
Raichu555 recorded pair observations · 0.17 pair observations per 100 analyzed battles
43.1%
Volcarona
Volcarona547 recorded pair observations · 0.16 pair observations per 100 analyzed battles
47.2%
Golisopod
Golisopod502 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.2%
Gardevoir
Gardevoir473 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.0%
Floette-Eternal
Floette-Eternal442 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2310 recorded pair observations · 0.70 pair observations per 100 analyzed battles
44.5%
Sneasler
Sneasler2038 recorded pair observations · 0.61 pair observations per 100 analyzed battles
44.0%
Incineroar
Incineroar1965 recorded pair observations · 0.59 pair observations per 100 analyzed battles
44.8%
Garchomp
Garchomp1589 recorded pair observations · 0.48 pair observations per 100 analyzed battles
46.3%
Indeedee-F
Indeedee-F1306 recorded pair observations · 0.39 pair observations per 100 analyzed battles
46.6%
Kingambit
Kingambit1149 recorded pair observations · 0.35 pair observations per 100 analyzed battles
42.5%
Raichu
Raichu1133 recorded pair observations · 0.34 pair observations per 100 analyzed battles
45.9%
Gholdengo
Gholdengo1083 recorded pair observations · 0.33 pair observations per 100 analyzed battles
45.0%
Farigiraf
Farigiraf1052 recorded pair observations · 0.32 pair observations per 100 analyzed battles
44.7%
Salamence
Salamence936 recorded pair observations · 0.28 pair observations per 100 analyzed battles
41.1%
Archaludon
Archaludon907 recorded pair observations · 0.27 pair observations per 100 analyzed battles
46.2%
Golisopod
Golisopod849 recorded pair observations · 0.26 pair observations per 100 analyzed battles
43.8%
Charizard
Charizard847 recorded pair observations · 0.26 pair observations per 100 analyzed battles
43.7%
Basculegion
Basculegion818 recorded pair observations · 0.25 pair observations per 100 analyzed battles
46.5%
Pelipper
Pelipper818 recorded pair observations · 0.25 pair observations per 100 analyzed battles
45.0%
Volcarona
Volcarona791 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.0%
Whimsicott
Whimsicott744 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.8%
Milotic
Milotic682 recorded pair observations · 0.21 pair observations per 100 analyzed battles
44.1%
Sinistcha
Sinistcha666 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.8%
Tyranitar
Tyranitar657 recorded pair observations · 0.20 pair observations per 100 analyzed battles
41.5%

Higher Win-rate Partners

Returned teammates above the focal Pokemon's overall win rate · bars centered at 50%

Torkoal
Torkoal360 recorded pair observations · 0.11 pair observations per 100 analyzed battles
58.3%
Basculegion
Basculegion572 recorded pair observations · 0.17 pair observations per 100 analyzed battles
53.7%
Floette-Eternal
Floette-Eternal442 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.9%
Archaludon
Archaludon345 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.9%
Staraptor
Staraptor696 recorded pair observations · 0.21 pair observations per 100 analyzed battles
51.7%
Hydreigon
Hydreigon329 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.8%
Sneasler
Sneasler981 recorded pair observations · 0.30 pair observations per 100 analyzed battles
50.5%
Farigiraf
Farigiraf883 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.4%
Primarina
Primarina561 recorded pair observations · 0.17 pair observations per 100 analyzed battles
49.4%
Incineroar
Incineroar1393 recorded pair observations · 0.42 pair observations per 100 analyzed battles
48.7%

Lower Win-rate Partners

Returned teammates below the focal Pokemon's overall win rate · bars centered at 50%

Lucario
Lucario327 recorded pair observations · 0.10 pair observations per 100 analyzed battles
37.6%
Sinistcha
Sinistcha433 recorded pair observations · 0.13 pair observations per 100 analyzed battles
42.3%
Raichu
Raichu555 recorded pair observations · 0.17 pair observations per 100 analyzed battles
43.1%
Indeedee-F
Indeedee-F1001 recorded pair observations · 0.30 pair observations per 100 analyzed battles
43.3%
Whimsicott
Whimsicott788 recorded pair observations · 0.24 pair observations per 100 analyzed battles
43.5%
Gardevoir
Gardevoir473 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.0%
Talonflame
Talonflame432 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.7%
Grimmsnarl
Grimmsnarl346 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.1%

Higher Win-rate Opponent Teams

Returned opponents above the focal Pokemon's overall win rate · bars centered at 50%

Gengar
Gengar348 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.0%
Dragonite
Dragonite319 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.5%
Grimmsnarl
Grimmsnarl358 recorded pair observations · 0.11 pair observations per 100 analyzed battles
48.0%
Politoed
Politoed469 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.8%
Sinistcha
Sinistcha666 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.8%
Torkoal
Torkoal425 recorded pair observations · 0.13 pair observations per 100 analyzed battles
47.8%
Metagross
Metagross403 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.1%
Indeedee-F
Indeedee-F1306 recorded pair observations · 0.39 pair observations per 100 analyzed battles
46.6%
Basculegion
Basculegion818 recorded pair observations · 0.25 pair observations per 100 analyzed battles
46.5%
Garchomp
Garchomp1589 recorded pair observations · 0.48 pair observations per 100 analyzed battles
46.3%

Lower Win-rate Opponent Teams

Returned opponents below the focal Pokemon's overall win rate · bars centered at 50%

Excadrill
Excadrill466 recorded pair observations · 0.14 pair observations per 100 analyzed battles
39.9%
Staraptor
Staraptor424 recorded pair observations · 0.13 pair observations per 100 analyzed battles
41.0%
Salamence
Salamence936 recorded pair observations · 0.28 pair observations per 100 analyzed battles
41.1%
Indeedee
Indeedee574 recorded pair observations · 0.17 pair observations per 100 analyzed battles
41.5%
Tyranitar
Tyranitar657 recorded pair observations · 0.20 pair observations per 100 analyzed battles
41.5%
Kingambit
Kingambit1149 recorded pair observations · 0.35 pair observations per 100 analyzed battles
42.5%
Charizard
Charizard847 recorded pair observations · 0.26 pair observations per 100 analyzed battles
43.7%
Floette-Eternal
Floette-Eternal436 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.8%
Golisopod
Golisopod849 recorded pair observations · 0.26 pair observations per 100 analyzed battles
43.8%
Sylveon
Sylveon509 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.8%