Last Updated: 10/26/2026 11:03 [UTC]

Aegislash

Tier C

BSS Regulation M-C (Pokemon Champions)

6.03%Usage Rate
51.70%Win Rate
9.56%Lead Rate
34.11%Selection Rate
1208Avg Rating

3023 recorded team appearances · 1563 wins · 1460 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Shadow Sneak Recorded use in 489 of 3023 distinct recorded team appearances (16.2%) 286 winning team uses of 489 recorded team uses
58.5%
Poltergeist Recorded use in 445 of 3023 distinct recorded team appearances (14.7%) 238 winning team uses of 445 recorded team uses
53.5%
King's Shield Recorded use in 409 of 3023 distinct recorded team appearances (13.5%) 190 winning team uses of 409 recorded team uses
46.5%
Swords Dance Recorded use in 274 of 3023 distinct recorded team appearances (9.1%) 138 winning team uses of 274 recorded team uses
50.4%
Sacred Sword Recorded use in 143 of 3023 distinct recorded team appearances (4.7%) 74 winning team uses of 143 recorded team uses
51.7%
Close Combat Recorded use in 102 of 3023 distinct recorded team appearances (3.4%) 53 winning team uses of 102 recorded team uses
52.0%
Shadow Ball Recorded use in 102 of 3023 distinct recorded team appearances (3.4%) 57 winning team uses of 102 recorded team uses
55.9%
Iron Head Recorded use in 65 of 3023 distinct recorded team appearances (2.2%) 31 winning team uses of 65 recorded team uses
47.7%
Flash Cannon Recorded use in 21 of 3023 distinct recorded team appearances (0.7%) 12 winning team uses of 21 recorded team uses
57.1%
Reflect Recorded use in 17 of 3023 distinct recorded team appearances (0.6%) 8 winning team uses of 17 recorded team uses
47.1%

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: 2026/10/12 11:01–2026/10/15 12:54 UTC 6.76 53.77 12542 848 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 6.35 51.94 12542 797 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 5.10 51.09 12542 640 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 5.89 49.59 12540 738 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 6.05 50.08 9968 603 Observed
~R1142 5.45 51.57 9958 543 Observed
~R1208 5.49 52.25 10104 555 Observed
~R1298 5.49 51.73 10004 549 Observed
R1298~ 7.63 52.65 10132 773 Observed

Aegislash Observed Statistics

Performance Metrics

Aegislash has a reported usage rate of 6.03% and win rate of 51.70% in BSS Regulation M-C (Pokemon Champions) (displayed tier: C). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,563 wins and 1,460 losses (3,023 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 6.76% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 5.89% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=12,540 team slots), a change of -0.87 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 53.77% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=848 recorded appearances) and 49.59% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=738 recorded appearances), a change of -4.18 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 5.45% (~R1142; n=9,958 team slots) to 7.63% (R1298~; n=10,132 team slots), a spread of 2.18 percentage points. Overall usage was 6.03%. 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, Shadow Sneak has the largest recorded team-use count (489; 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: Hippowdon: 53.7% wins in 1,323 recorded pair observations; Mimikyu: 56.9% wins in 824 recorded pair observations; Dragonite: 55.9% wins in 803 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: Indeedee-F: 69.4% wins in 36 recorded pair observations; Gardevoir: 68.4% wins in 38 recorded pair observations; Gliscor: 67.8% wins in 121 recorded pair observations. Returned lower-win-rate opponent group: Zoroark-Hisui: 33.9% wins in 56 recorded pair observations; Ceruledge: 38.7% wins in 93 recorded pair observations; Samurott-Hisui: 39.9% wins in 138 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%

Hippowdon
Hippowdon1323 recorded pair observations · 5.27 pair observations per 100 analyzed battles
53.7%
Mimikyu
Mimikyu824 recorded pair observations · 3.29 pair observations per 100 analyzed battles
56.9%
Dragonite
Dragonite803 recorded pair observations · 3.20 pair observations per 100 analyzed battles
55.9%
Lucario
Lucario800 recorded pair observations · 3.19 pair observations per 100 analyzed battles
56.5%
Garchomp
Garchomp769 recorded pair observations · 3.07 pair observations per 100 analyzed battles
54.2%
Salamence
Salamence736 recorded pair observations · 2.93 pair observations per 100 analyzed battles
54.2%
Basculegion
Basculegion654 recorded pair observations · 2.61 pair observations per 100 analyzed battles
55.8%
Baxcalibur
Baxcalibur463 recorded pair observations · 1.85 pair observations per 100 analyzed battles
50.3%
Primarina
Primarina425 recorded pair observations · 1.69 pair observations per 100 analyzed battles
50.1%
Samurott-Hisui
Samurott-Hisui327 recorded pair observations · 1.30 pair observations per 100 analyzed battles
56.3%
Meowscarada
Meowscarada323 recorded pair observations · 1.29 pair observations per 100 analyzed battles
55.7%
Rotom-Wash
Rotom-Wash318 recorded pair observations · 1.27 pair observations per 100 analyzed battles
52.2%
Rillaboom
Rillaboom278 recorded pair observations · 1.11 pair observations per 100 analyzed battles
45.0%
Archaludon
Archaludon260 recorded pair observations · 1.04 pair observations per 100 analyzed battles
56.1%
Golisopod
Golisopod243 recorded pair observations · 0.97 pair observations per 100 analyzed battles
51.0%
Ninetales-Alola
Ninetales-Alola223 recorded pair observations · 0.89 pair observations per 100 analyzed battles
54.3%
Blaziken
Blaziken216 recorded pair observations · 0.86 pair observations per 100 analyzed battles
52.3%
Gyarados
Gyarados216 recorded pair observations · 0.86 pair observations per 100 analyzed battles
46.3%
Glimmora
Glimmora211 recorded pair observations · 0.84 pair observations per 100 analyzed battles
53.1%
Charizard
Charizard198 recorded pair observations · 0.79 pair observations per 100 analyzed battles
49.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1053 recorded pair observations · 4.20 pair observations per 100 analyzed battles
48.0%
Primarina
Primarina689 recorded pair observations · 2.75 pair observations per 100 analyzed battles
48.6%
Archaludon
Archaludon644 recorded pair observations · 2.57 pair observations per 100 analyzed battles
48.8%
Gholdengo
Gholdengo585 recorded pair observations · 2.33 pair observations per 100 analyzed battles
47.7%
Mimikyu
Mimikyu568 recorded pair observations · 2.26 pair observations per 100 analyzed battles
51.4%
Hippowdon
Hippowdon553 recorded pair observations · 2.20 pair observations per 100 analyzed battles
49.9%
Salamence
Salamence502 recorded pair observations · 2.00 pair observations per 100 analyzed battles
50.0%
Basculegion
Basculegion487 recorded pair observations · 1.94 pair observations per 100 analyzed battles
47.8%
Corviknight
Corviknight475 recorded pair observations · 1.89 pair observations per 100 analyzed battles
54.3%
Golisopod
Golisopod416 recorded pair observations · 1.66 pair observations per 100 analyzed battles
46.9%
Lucario
Lucario400 recorded pair observations · 1.59 pair observations per 100 analyzed battles
49.5%
Charizard
Charizard366 recorded pair observations · 1.46 pair observations per 100 analyzed battles
55.2%
Baxcalibur
Baxcalibur339 recorded pair observations · 1.35 pair observations per 100 analyzed battles
52.2%
Kingambit
Kingambit336 recorded pair observations · 1.34 pair observations per 100 analyzed battles
50.9%
Metagross
Metagross326 recorded pair observations · 1.30 pair observations per 100 analyzed battles
47.2%
Dragonite
Dragonite314 recorded pair observations · 1.25 pair observations per 100 analyzed battles
44.3%
Floette-Eternal
Floette-Eternal270 recorded pair observations · 1.08 pair observations per 100 analyzed battles
45.6%
Scizor
Scizor264 recorded pair observations · 1.05 pair observations per 100 analyzed battles
56.4%
Rillaboom
Rillaboom263 recorded pair observations · 1.05 pair observations per 100 analyzed battles
54.0%
Starmie
Starmie260 recorded pair observations · 1.04 pair observations per 100 analyzed battles
58.5%

Higher Win-rate Partners

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

Pyroar
Pyroar62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
71.0%
Tyranitar
Tyranitar59 recorded pair observations · 0.24 pair observations per 100 analyzed battles
64.4%
Floette-Eternal
Floette-Eternal183 recorded pair observations · 0.73 pair observations per 100 analyzed battles
61.8%
Skeledirge
Skeledirge39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
61.5%
Gallade
Gallade36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
61.1%
Mimikyu
Mimikyu824 recorded pair observations · 3.29 pair observations per 100 analyzed battles
56.9%
Venusaur
Venusaur137 recorded pair observations · 0.55 pair observations per 100 analyzed battles
56.9%
Serperior
Serperior37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
56.8%
Hydreigon
Hydreigon122 recorded pair observations · 0.49 pair observations per 100 analyzed battles
56.6%
Lucario
Lucario800 recorded pair observations · 3.19 pair observations per 100 analyzed battles
56.5%

Lower Win-rate Partners

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

Gardevoir
Gardevoir69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
31.9%
Inteleon
Inteleon36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
33.3%
Scizor
Scizor65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
33.9%
Ceruledge
Ceruledge35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
34.3%
Delphox
Delphox115 recorded pair observations · 0.46 pair observations per 100 analyzed battles
34.8%
Corviknight
Corviknight125 recorded pair observations · 0.50 pair observations per 100 analyzed battles
35.2%
Armarouge
Armarouge58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
36.2%
Kangaskhan
Kangaskhan47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
38.3%
Maushold
Maushold31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
38.7%
Scovillain
Scovillain36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
38.9%

Higher Win-rate Opponent Teams

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

Indeedee-F
Indeedee-F36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
69.4%
Gardevoir
Gardevoir38 recorded pair observations · 0.15 pair observations per 100 analyzed battles
68.4%
Gliscor
Gliscor121 recorded pair observations · 0.48 pair observations per 100 analyzed battles
67.8%
Sinistcha
Sinistcha30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
66.7%
Eelektross
Eelektross32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
65.6%
Incineroar
Incineroar69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
63.8%
Mawile
Mawile58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
63.8%
Kangaskhan
Kangaskhan38 recorded pair observations · 0.15 pair observations per 100 analyzed battles
63.2%
Araquanid
Araquanid62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
62.9%
Armarouge
Armarouge32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
62.5%

Lower Win-rate Opponent Teams

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

Zoroark-Hisui
Zoroark-Hisui56 recorded pair observations · 0.22 pair observations per 100 analyzed battles
33.9%
Ceruledge
Ceruledge93 recorded pair observations · 0.37 pair observations per 100 analyzed battles
38.7%
Samurott-Hisui
Samurott-Hisui138 recorded pair observations · 0.55 pair observations per 100 analyzed battles
39.9%
Indeedee
Indeedee213 recorded pair observations · 0.85 pair observations per 100 analyzed battles
41.3%
Victreebel
Victreebel31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.9%
Lopunny
Lopunny54 recorded pair observations · 0.22 pair observations per 100 analyzed battles
42.6%
Dragonite
Dragonite314 recorded pair observations · 1.25 pair observations per 100 analyzed battles
44.3%
Floette-Eternal
Floette-Eternal270 recorded pair observations · 1.08 pair observations per 100 analyzed battles
45.6%
Bellibolt
Bellibolt60 recorded pair observations · 0.24 pair observations per 100 analyzed battles
46.7%
Staraptor
Staraptor90 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.7%