Last Updated: 10/22/2026 11:16 [UTC]

Vivillon

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.04%Usage Rate
47.68%Win Rate
45.30%Lead Rate
60.68%Selection Rate
1276Avg Rating

6910 recorded team appearances · 3295 wins · 3615 losses · 10/08/2026–10/22/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Sleep Powder Recorded use in 2681 of 6910 distinct recorded team appearances (38.8%) 1400 winning team uses of 2681 recorded team uses
52.2%
Protect Recorded use in 1128 of 6910 distinct recorded team appearances (16.3%) 543 winning team uses of 1128 recorded team uses
48.1%
Hurricane Recorded use in 1034 of 6910 distinct recorded team appearances (15.0%) 587 winning team uses of 1034 recorded team uses
56.8%
Rage Powder Recorded use in 860 of 6910 distinct recorded team appearances (12.4%) 442 winning team uses of 860 recorded team uses
51.4%
Tailwind Recorded use in 402 of 6910 distinct recorded team appearances (5.8%) 191 winning team uses of 402 recorded team uses
47.5%
Pollen Puff Recorded use in 216 of 6910 distinct recorded team appearances (3.1%) 107 winning team uses of 216 recorded team uses
49.5%
U-turn Recorded use in 55 of 6910 distinct recorded team appearances (0.8%) 35 winning team uses of 55 recorded team uses
63.6%
Bug Buzz Recorded use in 30 of 6910 distinct recorded team appearances (0.4%) 16 winning team uses of 30 recorded team uses
53.3%
Struggle Bug Recorded use in 27 of 6910 distinct recorded team appearances (0.4%) 10 winning team uses of 27 recorded team uses
37.0%
Rain Dance Recorded use in 19 of 6910 distinct recorded team appearances (0.3%) 11 winning team uses of 19 recorded team uses
57.9%

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: 2026/10/08 11:01–2026/10/11 21:40 UTC 0.85 45.63 165498 1407 Observed
Period 2: 2026/10/11 21:40–2026/10/15 11:06 UTC 0.90 47.95 165496 1489 Observed
Period 3: 2026/10/15 11:06–2026/10/18 21:23 UTC 0.95 47.31 165496 1577 Observed
Period 4: 2026/10/18 21:23–2026/10/22 10:59 UTC 1.47 48.95 165496 2437 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1136 1.14 47.25 131134 1490 Observed
~R1215 1.02 46.82 133014 1354 Observed
~R1308 1.01 48.37 131224 1319 Observed
~R1410 0.99 47.91 133370 1315 Observed
R1410~ 1.07 48.11 133244 1432 Observed

Vivillon Observed Statistics

Performance Metrics

Vivillon has a reported usage rate of 1.04% and win rate of 47.68% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/08/2026 to 10/22/2026 (UTC), with 330,993 recorded battles. 3,295 wins and 3,615 losses (6,910 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 0.85% in the first available period (Period 1: 2026/10/08 11:01–2026/10/11 21:40 UTC; n=165,498 team slots) and 1.47% in the last available period (Period 4: 2026/10/18 21:23–2026/10/22 10:59 UTC; n=165,496 team slots), a change of +0.62 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. Win rate was 45.63% in the first available period (Period 1: 2026/10/08 11:01–2026/10/11 21:40 UTC; n=1,407 recorded appearances) and 48.95% in the last available period (Period 4: 2026/10/18 21:23–2026/10/22 10:59 UTC; n=2,437 recorded appearances), a change of +3.32 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 0.99% (~R1410; n=133,370 team slots) to 1.14% (~R1136; n=131,134 team slots), a spread of 0.15 percentage points. Overall usage was 1.04%. 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, Sleep Powder has the largest recorded team-use count (2,681; 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: Incineroar: 49.6% wins in 3,911 recorded pair observations; Rillaboom: 48.9% wins in 3,573 recorded pair observations; Gengar: 48.9% wins in 3,328 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: Politoed: 51.8% wins in 541 recorded pair observations; Metagross: 51.4% wins in 354 recorded pair observations; Sinistcha: 50.8% wins in 681 recorded pair observations. Returned lower-win-rate opponent group: Basculegion: 42.3% wins in 849 recorded pair observations; Tyranitar: 44.0% wins in 664 recorded pair observations; Gengar: 44.1% wins in 365 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%

Incineroar
Incineroar3911 recorded pair observations · 1.18 pair observations per 100 analyzed battles
49.6%
Rillaboom
Rillaboom3573 recorded pair observations · 1.08 pair observations per 100 analyzed battles
48.9%
Gengar
Gengar3328 recorded pair observations · 1.01 pair observations per 100 analyzed battles
48.9%
Politoed
Politoed1709 recorded pair observations · 0.52 pair observations per 100 analyzed battles
48.7%
Garchomp
Garchomp1341 recorded pair observations · 0.41 pair observations per 100 analyzed battles
50.4%
Archaludon
Archaludon1333 recorded pair observations · 0.40 pair observations per 100 analyzed battles
48.8%
Primarina
Primarina969 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.9%
Kommo-o
Kommo-o960 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.3%
Farigiraf
Farigiraf701 recorded pair observations · 0.21 pair observations per 100 analyzed battles
46.1%
Indeedee-F
Indeedee-F657 recorded pair observations · 0.20 pair observations per 100 analyzed battles
49.8%
Sneasler
Sneasler607 recorded pair observations · 0.18 pair observations per 100 analyzed battles
47.0%
Golisopod
Golisopod490 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.1%
Delphox
Delphox482 recorded pair observations · 0.15 pair observations per 100 analyzed battles
49.4%
Raichu
Raichu472 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.5%
Dragonite
Dragonite443 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.7%
Lucario
Lucario426 recorded pair observations · 0.13 pair observations per 100 analyzed battles
47.6%
Kingambit
Kingambit389 recorded pair observations · 0.12 pair observations per 100 analyzed battles
46.3%
Charizard
Charizard383 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.0%
Kangaskhan
Kangaskhan379 recorded pair observations · 0.11 pair observations per 100 analyzed battles
49.6%
Whimsicott
Whimsicott368 recorded pair observations · 0.11 pair observations per 100 analyzed battles
47.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2202 recorded pair observations · 0.67 pair observations per 100 analyzed battles
48.1%
Sneasler
Sneasler2031 recorded pair observations · 0.61 pair observations per 100 analyzed battles
44.9%
Incineroar
Incineroar1942 recorded pair observations · 0.59 pair observations per 100 analyzed battles
46.8%
Garchomp
Garchomp1802 recorded pair observations · 0.54 pair observations per 100 analyzed battles
47.7%
Archaludon
Archaludon1337 recorded pair observations · 0.40 pair observations per 100 analyzed battles
46.3%
Indeedee-F
Indeedee-F1289 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.1%
Raichu
Raichu1251 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.5%
Charizard
Charizard1173 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.8%
Kingambit
Kingambit1163 recorded pair observations · 0.35 pair observations per 100 analyzed battles
45.7%
Farigiraf
Farigiraf1151 recorded pair observations · 0.35 pair observations per 100 analyzed battles
49.6%
Pelipper
Pelipper1145 recorded pair observations · 0.35 pair observations per 100 analyzed battles
45.1%
Golisopod
Golisopod998 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.7%
Gholdengo
Gholdengo929 recorded pair observations · 0.28 pair observations per 100 analyzed battles
45.9%
Basculegion
Basculegion849 recorded pair observations · 0.26 pair observations per 100 analyzed battles
42.3%
Whimsicott
Whimsicott802 recorded pair observations · 0.24 pair observations per 100 analyzed battles
50.1%
Salamence
Salamence771 recorded pair observations · 0.23 pair observations per 100 analyzed battles
44.4%
Sinistcha
Sinistcha681 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.8%
Tyranitar
Tyranitar664 recorded pair observations · 0.20 pair observations per 100 analyzed battles
44.0%
Volcarona
Volcarona641 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.1%
Milotic
Milotic625 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.3%

Higher Win-rate Partners

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

Basculegion
Basculegion352 recorded pair observations · 0.11 pair observations per 100 analyzed battles
50.9%
Garchomp
Garchomp1341 recorded pair observations · 0.41 pair observations per 100 analyzed battles
50.4%
Indeedee-F
Indeedee-F657 recorded pair observations · 0.20 pair observations per 100 analyzed battles
49.8%
Incineroar
Incineroar3911 recorded pair observations · 1.18 pair observations per 100 analyzed battles
49.6%
Kangaskhan
Kangaskhan379 recorded pair observations · 0.11 pair observations per 100 analyzed battles
49.6%
Delphox
Delphox482 recorded pair observations · 0.15 pair observations per 100 analyzed battles
49.4%
Gengar
Gengar3328 recorded pair observations · 1.01 pair observations per 100 analyzed battles
48.9%
Primarina
Primarina969 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.9%
Rillaboom
Rillaboom3573 recorded pair observations · 1.08 pair observations per 100 analyzed battles
48.9%
Archaludon
Archaludon1333 recorded pair observations · 0.40 pair observations per 100 analyzed battles
48.8%

Lower Win-rate Partners

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

Golisopod
Golisopod490 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.1%
Dragonite
Dragonite443 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.7%
Farigiraf
Farigiraf701 recorded pair observations · 0.21 pair observations per 100 analyzed battles
46.1%
Kingambit
Kingambit389 recorded pair observations · 0.12 pair observations per 100 analyzed battles
46.3%
Charizard
Charizard383 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.0%
Sneasler
Sneasler607 recorded pair observations · 0.18 pair observations per 100 analyzed battles
47.0%
Camerupt
Camerupt353 recorded pair observations · 0.11 pair observations per 100 analyzed battles
47.3%
Raichu
Raichu472 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.5%
Lucario
Lucario426 recorded pair observations · 0.13 pair observations per 100 analyzed battles
47.6%

Higher Win-rate Opponent Teams

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

Politoed
Politoed541 recorded pair observations · 0.16 pair observations per 100 analyzed battles
51.8%
Metagross
Metagross354 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.4%
Sinistcha
Sinistcha681 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.8%
Whimsicott
Whimsicott802 recorded pair observations · 0.24 pair observations per 100 analyzed battles
50.1%
Swampert
Swampert339 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.9%
Farigiraf
Farigiraf1151 recorded pair observations · 0.35 pair observations per 100 analyzed battles
49.6%
Torkoal
Torkoal419 recorded pair observations · 0.13 pair observations per 100 analyzed battles
49.6%
Golisopod
Golisopod998 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.7%
Milotic
Milotic625 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.3%
Venusaur
Venusaur497 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.3%

Lower Win-rate Opponent Teams

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

Basculegion
Basculegion849 recorded pair observations · 0.26 pair observations per 100 analyzed battles
42.3%
Tyranitar
Tyranitar664 recorded pair observations · 0.20 pair observations per 100 analyzed battles
44.0%
Gengar
Gengar365 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.1%
Salamence
Salamence771 recorded pair observations · 0.23 pair observations per 100 analyzed battles
44.4%
Raichu
Raichu1251 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.5%
Floette-Eternal
Floette-Eternal483 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.7%
Kommo-o
Kommo-o349 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.7%
Excadrill
Excadrill455 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.8%
Sneasler
Sneasler2031 recorded pair observations · 0.61 pair observations per 100 analyzed battles
44.9%
Pelipper
Pelipper1145 recorded pair observations · 0.35 pair observations per 100 analyzed battles
45.1%