Last Updated: 10/23/2026 11:14 [UTC]

Meowscarada

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.11%Usage Rate
46.04%Win Rate
35.40%Lead Rate
56.83%Selection Rate
1216Avg Rating

7327 recorded team appearances · 3373 wins · 3954 losses · 10/09/2026–10/23/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Flower Trick Recorded use in 1335 of 7327 distinct recorded team appearances (18.2%) 613 winning team uses of 1335 recorded team uses
45.9%
Knock Off Recorded use in 1075 of 7327 distinct recorded team appearances (14.7%) 487 winning team uses of 1075 recorded team uses
45.3%
Triple Axel Recorded use in 821 of 7327 distinct recorded team appearances (11.2%) 399 winning team uses of 821 recorded team uses
48.6%
U-turn Recorded use in 487 of 7327 distinct recorded team appearances (6.6%) 211 winning team uses of 487 recorded team uses
43.3%
Protect Recorded use in 330 of 7327 distinct recorded team appearances (4.5%) 144 winning team uses of 330 recorded team uses
43.6%
Play Rough Recorded use in 242 of 7327 distinct recorded team appearances (3.3%) 114 winning team uses of 242 recorded team uses
47.1%
Sucker Punch Recorded use in 131 of 7327 distinct recorded team appearances (1.8%) 57 winning team uses of 131 recorded team uses
43.5%
Throat Chop Recorded use in 111 of 7327 distinct recorded team appearances (1.5%) 61 winning team uses of 111 recorded team uses
55.0%
Taunt Recorded use in 94 of 7327 distinct recorded team appearances (1.3%) 40 winning team uses of 94 recorded team uses
42.6%
Low Kick Recorded use in 81 of 7327 distinct recorded team appearances (1.1%) 35 winning team uses of 81 recorded team uses
43.2%

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: 2026/10/09 11:00–2026/10/12 20:56 UTC 0.95 45.27 165040 1566 Observed
Period 2: 2026/10/12 20:56–2026/10/16 11:20 UTC 1.17 46.54 165040 1938 Observed
Period 3: 2026/10/16 11:20–2026/10/19 20:15 UTC 1.07 45.15 165040 1763 Observed
Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC 1.25 46.89 165040 2060 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1135 1.78 45.64 131704 2349 Observed
~R1214 1.35 46.12 132234 1789 Observed
~R1307 1.07 46.02 131652 1408 Observed
~R1410 0.79 46.51 132374 1045 Observed
R1410~ 0.56 46.47 132196 736 Observed

Meowscarada Observed Statistics

Performance Metrics

Meowscarada has a reported usage rate of 1.11% and win rate of 46.04% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/09/2026 to 10/23/2026 (UTC), with 330,080 recorded battles. 3,373 wins and 3,954 losses (7,327 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 0.95% in the first available period (Period 1: 2026/10/09 11:00–2026/10/12 20:56 UTC; n=165,040 team slots) and 1.25% in the last available period (Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC; n=165,040 team slots), a change of +0.30 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 45.27% in the first available period (Period 1: 2026/10/09 11:00–2026/10/12 20:56 UTC; n=1,566 recorded appearances) and 46.89% in the last available period (Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC; n=2,060 recorded appearances), a change of +1.62 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 0.56% (R1410~; n=132,196 team slots) to 1.78% (~R1135; n=131,704 team slots), a spread of 1.22 percentage points. Overall usage was 1.11%. 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, Flower Trick has the largest recorded team-use count (1,335; 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: Indeedee-F: 46.8% wins in 2,214 recorded pair observations; Sneasler: 48.1% wins in 1,671 recorded pair observations; Gardevoir: 47.5% wins in 1,275 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: Grimmsnarl: 49.0% wins in 512 recorded pair observations; Gengar: 48.7% wins in 390 recorded pair observations; Sinistcha: 48.6% wins in 701 recorded pair observations. Returned lower-win-rate opponent group: Armarouge: 40.8% wins in 319 recorded pair observations; Floette-Eternal: 40.8% wins in 495 recorded pair observations; Golisopod: 41.1% wins in 1,025 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%

Indeedee-F
Indeedee-F2214 recorded pair observations · 0.67 pair observations per 100 analyzed battles
46.8%
Sneasler
Sneasler1671 recorded pair observations · 0.51 pair observations per 100 analyzed battles
48.1%
Gardevoir
Gardevoir1275 recorded pair observations · 0.39 pair observations per 100 analyzed battles
47.5%
Garchomp
Garchomp1116 recorded pair observations · 0.34 pair observations per 100 analyzed battles
47.3%
Farigiraf
Farigiraf1087 recorded pair observations · 0.33 pair observations per 100 analyzed battles
48.4%
Raichu
Raichu960 recorded pair observations · 0.29 pair observations per 100 analyzed battles
46.9%
Gholdengo
Gholdengo859 recorded pair observations · 0.26 pair observations per 100 analyzed battles
46.8%
Armarouge
Armarouge822 recorded pair observations · 0.25 pair observations per 100 analyzed battles
46.8%
Primarina
Primarina793 recorded pair observations · 0.24 pair observations per 100 analyzed battles
46.4%
Torkoal
Torkoal762 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.2%
Whimsicott
Whimsicott750 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.8%
Blaziken
Blaziken707 recorded pair observations · 0.21 pair observations per 100 analyzed battles
48.2%
Annihilape
Annihilape706 recorded pair observations · 0.21 pair observations per 100 analyzed battles
44.9%
Incineroar
Incineroar681 recorded pair observations · 0.21 pair observations per 100 analyzed battles
46.8%
Indeedee
Indeedee612 recorded pair observations · 0.19 pair observations per 100 analyzed battles
50.2%
Kingambit
Kingambit612 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.9%
Milotic
Milotic595 recorded pair observations · 0.18 pair observations per 100 analyzed battles
50.6%
Salamence
Salamence588 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.1%
Lopunny
Lopunny518 recorded pair observations · 0.16 pair observations per 100 analyzed battles
46.3%
Delphox
Delphox515 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2270 recorded pair observations · 0.69 pair observations per 100 analyzed battles
44.2%
Sneasler
Sneasler2210 recorded pair observations · 0.67 pair observations per 100 analyzed battles
44.8%
Incineroar
Incineroar1930 recorded pair observations · 0.58 pair observations per 100 analyzed battles
45.3%
Garchomp
Garchomp1883 recorded pair observations · 0.57 pair observations per 100 analyzed battles
44.1%
Indeedee-F
Indeedee-F1392 recorded pair observations · 0.42 pair observations per 100 analyzed battles
46.0%
Archaludon
Archaludon1335 recorded pair observations · 0.40 pair observations per 100 analyzed battles
42.0%
Raichu
Raichu1272 recorded pair observations · 0.39 pair observations per 100 analyzed battles
43.5%
Farigiraf
Farigiraf1204 recorded pair observations · 0.36 pair observations per 100 analyzed battles
44.4%
Pelipper
Pelipper1183 recorded pair observations · 0.36 pair observations per 100 analyzed battles
43.4%
Charizard
Charizard1113 recorded pair observations · 0.34 pair observations per 100 analyzed battles
46.2%
Kingambit
Kingambit1092 recorded pair observations · 0.33 pair observations per 100 analyzed battles
43.0%
Golisopod
Golisopod1025 recorded pair observations · 0.31 pair observations per 100 analyzed battles
41.1%
Gholdengo
Gholdengo999 recorded pair observations · 0.30 pair observations per 100 analyzed battles
43.5%
Whimsicott
Whimsicott870 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.2%
Salamence
Salamence796 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.0%
Basculegion
Basculegion790 recorded pair observations · 0.24 pair observations per 100 analyzed battles
42.4%
Tyranitar
Tyranitar715 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.4%
Volcarona
Volcarona704 recorded pair observations · 0.21 pair observations per 100 analyzed battles
42.2%
Sinistcha
Sinistcha701 recorded pair observations · 0.21 pair observations per 100 analyzed battles
48.6%
Milotic
Milotic617 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.9%

Higher Win-rate Partners

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

Camerupt
Camerupt387 recorded pair observations · 0.12 pair observations per 100 analyzed battles
52.7%
Milotic
Milotic595 recorded pair observations · 0.18 pair observations per 100 analyzed battles
50.6%
Basculegion
Basculegion346 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.3%
Indeedee
Indeedee612 recorded pair observations · 0.19 pair observations per 100 analyzed battles
50.2%
Staraptor
Staraptor333 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.5%
Torkoal
Torkoal762 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.2%
Kingambit
Kingambit612 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.9%
Whimsicott
Whimsicott750 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.8%
Volcarona
Volcarona402 recorded pair observations · 0.12 pair observations per 100 analyzed battles
48.5%
Farigiraf
Farigiraf1087 recorded pair observations · 0.33 pair observations per 100 analyzed battles
48.4%

Lower Win-rate Partners

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

Talonflame
Talonflame385 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.9%
Dragapult
Dragapult349 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.8%
Rillaboom
Rillaboom499 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.3%
Politoed
Politoed317 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.8%
Annihilape
Annihilape706 recorded pair observations · 0.21 pair observations per 100 analyzed battles
44.9%
Pelipper
Pelipper432 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.9%
Charizard
Charizard397 recorded pair observations · 0.12 pair observations per 100 analyzed battles
45.1%
Salamence
Salamence588 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.1%
Ninetales-Alola
Ninetales-Alola353 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.3%
Delphox
Delphox515 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.8%

Higher Win-rate Opponent Teams

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

Grimmsnarl
Grimmsnarl512 recorded pair observations · 0.16 pair observations per 100 analyzed battles
49.0%
Gengar
Gengar390 recorded pair observations · 0.12 pair observations per 100 analyzed battles
48.7%
Sinistcha
Sinistcha701 recorded pair observations · 0.21 pair observations per 100 analyzed battles
48.6%
Arcanine-Hisui
Arcanine-Hisui361 recorded pair observations · 0.11 pair observations per 100 analyzed battles
48.5%
Torkoal
Torkoal424 recorded pair observations · 0.13 pair observations per 100 analyzed battles
48.4%
Froslass
Froslass328 recorded pair observations · 0.10 pair observations per 100 analyzed battles
48.2%
Whimsicott
Whimsicott870 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.2%
Indeedee
Indeedee454 recorded pair observations · 0.14 pair observations per 100 analyzed battles
48.0%
Excadrill
Excadrill500 recorded pair observations · 0.15 pair observations per 100 analyzed battles
47.2%
Primarina
Primarina339 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.9%

Lower Win-rate Opponent Teams

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

Armarouge
Armarouge319 recorded pair observations · 0.10 pair observations per 100 analyzed battles
40.8%
Floette-Eternal
Floette-Eternal495 recorded pair observations · 0.15 pair observations per 100 analyzed battles
40.8%
Golisopod
Golisopod1025 recorded pair observations · 0.31 pair observations per 100 analyzed battles
41.1%
Archaludon
Archaludon1335 recorded pair observations · 0.40 pair observations per 100 analyzed battles
42.0%
Sylveon
Sylveon552 recorded pair observations · 0.17 pair observations per 100 analyzed battles
42.0%
Volcarona
Volcarona704 recorded pair observations · 0.21 pair observations per 100 analyzed battles
42.2%
Basculegion
Basculegion790 recorded pair observations · 0.24 pair observations per 100 analyzed battles
42.4%
Gardevoir
Gardevoir479 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.4%
Metagross
Metagross355 recorded pair observations · 0.11 pair observations per 100 analyzed battles
42.8%
Kingambit
Kingambit1092 recorded pair observations · 0.33 pair observations per 100 analyzed battles
43.0%