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

Volcarona

Tier E

BSS Regulation M-C (Pokemon Champions)

4.80%Usage Rate
47.63%Win Rate
7.27%Lead Rate
36.13%Selection Rate
1156Avg Rating

2408 recorded team appearances · 1147 wins · 1261 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Quiver Dance Recorded use in 483 of 2408 distinct recorded team appearances (20.1%) 244 winning team uses of 483 recorded team uses
50.5%
Fiery Dance Recorded use in 393 of 2408 distinct recorded team appearances (16.3%) 225 winning team uses of 393 recorded team uses
57.3%
Giga Drain Recorded use in 220 of 2408 distinct recorded team appearances (9.1%) 129 winning team uses of 220 recorded team uses
58.6%
Bug Buzz Recorded use in 157 of 2408 distinct recorded team appearances (6.5%) 95 winning team uses of 157 recorded team uses
60.5%
Morning Sun Recorded use in 68 of 2408 distinct recorded team appearances (2.8%) 38 winning team uses of 68 recorded team uses
55.9%
Flamethrower Recorded use in 39 of 2408 distinct recorded team appearances (1.6%) 19 winning team uses of 39 recorded team uses
48.7%
Psychic Recorded use in 32 of 2408 distinct recorded team appearances (1.3%) 15 winning team uses of 32 recorded team uses
46.9%
Substitute Recorded use in 25 of 2408 distinct recorded team appearances (1.0%) 13 winning team uses of 25 recorded team uses
52.0%
Fire Blast Recorded use in 18 of 2408 distinct recorded team appearances (0.7%) 11 winning team uses of 18 recorded team uses
61.1%
Will-O-Wisp Recorded use in 17 of 2408 distinct recorded team appearances (0.7%) 7 winning team uses of 17 recorded team uses
41.2%

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: 2026/10/12 11:01–2026/10/15 12:54 UTC 4.38 49.73 12542 549 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 5.89 47.09 12542 739 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 3.55 51.46 12542 445 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 5.38 44.00 12540 675 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 6.03 48.92 9968 601 Observed
~R1142 5.71 47.63 9958 569 Observed
~R1208 5.04 48.53 10104 509 Observed
~R1298 4.71 48.41 10004 471 Observed
R1298~ 2.55 41.47 10132 258 Observed

Volcarona Observed Statistics

Performance Metrics

Volcarona has a reported usage rate of 4.80% and win rate of 47.63% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,147 wins and 1,261 losses (2,408 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 4.38% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 5.38% 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 +1.00 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 49.73% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=549 recorded appearances) and 44.00% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=675 recorded appearances), a change of -5.73 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 2.55% (R1298~; n=10,132 team slots) to 6.03% (~R1089; n=9,968 team slots), a spread of 3.48 percentage points. Overall usage was 4.80%. 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, Quiver Dance has the largest recorded team-use count (483; 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: Garchomp: 49.4% wins in 1,002 recorded pair observations; Salamence: 48.7% wins in 448 recorded pair observations; Primarina: 52.0% wins in 429 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: Eelektross: 73.5% wins in 34 recorded pair observations; Indeedee-F: 69.6% wins in 46 recorded pair observations; Milotic: 63.3% wins in 30 recorded pair observations. Returned lower-win-rate opponent group: Banette: 30.8% wins in 65 recorded pair observations; Hatterene: 34.8% wins in 69 recorded pair observations; Ditto: 36.4% wins in 77 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%

Garchomp
Garchomp1002 recorded pair observations · 3.99 pair observations per 100 analyzed battles
49.4%
Salamence
Salamence448 recorded pair observations · 1.79 pair observations per 100 analyzed battles
48.7%
Primarina
Primarina429 recorded pair observations · 1.71 pair observations per 100 analyzed battles
52.0%
Gholdengo
Gholdengo376 recorded pair observations · 1.50 pair observations per 100 analyzed battles
47.6%
Rotom-Wash
Rotom-Wash343 recorded pair observations · 1.37 pair observations per 100 analyzed battles
49.0%
Hippowdon
Hippowdon335 recorded pair observations · 1.34 pair observations per 100 analyzed battles
49.5%
Golisopod
Golisopod301 recorded pair observations · 1.20 pair observations per 100 analyzed battles
53.2%
Corviknight
Corviknight300 recorded pair observations · 1.20 pair observations per 100 analyzed battles
52.3%
Mimikyu
Mimikyu279 recorded pair observations · 1.11 pair observations per 100 analyzed battles
57.7%
Gyarados
Gyarados277 recorded pair observations · 1.10 pair observations per 100 analyzed battles
49.1%
Baxcalibur
Baxcalibur275 recorded pair observations · 1.10 pair observations per 100 analyzed battles
53.5%
Basculegion
Basculegion254 recorded pair observations · 1.01 pair observations per 100 analyzed battles
48.0%
Lucario
Lucario243 recorded pair observations · 0.97 pair observations per 100 analyzed battles
53.9%
Rillaboom
Rillaboom239 recorded pair observations · 0.95 pair observations per 100 analyzed battles
36.0%
Glimmora
Glimmora236 recorded pair observations · 0.94 pair observations per 100 analyzed battles
47.5%
Archaludon
Archaludon235 recorded pair observations · 0.94 pair observations per 100 analyzed battles
47.2%
Dragonite
Dragonite229 recorded pair observations · 0.91 pair observations per 100 analyzed battles
40.6%
Meowscarada
Meowscarada212 recorded pair observations · 0.85 pair observations per 100 analyzed battles
50.9%
Floette-Eternal
Floette-Eternal210 recorded pair observations · 0.84 pair observations per 100 analyzed battles
51.0%
Gengar
Gengar203 recorded pair observations · 0.81 pair observations per 100 analyzed battles
51.7%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp764 recorded pair observations · 3.05 pair observations per 100 analyzed battles
44.9%
Primarina
Primarina558 recorded pair observations · 2.22 pair observations per 100 analyzed battles
48.8%
Archaludon
Archaludon481 recorded pair observations · 1.92 pair observations per 100 analyzed battles
44.9%
Hippowdon
Hippowdon462 recorded pair observations · 1.84 pair observations per 100 analyzed battles
48.9%
Mimikyu
Mimikyu447 recorded pair observations · 1.78 pair observations per 100 analyzed battles
49.2%
Gholdengo
Gholdengo444 recorded pair observations · 1.77 pair observations per 100 analyzed battles
45.3%
Salamence
Salamence367 recorded pair observations · 1.46 pair observations per 100 analyzed battles
43.3%
Corviknight
Corviknight366 recorded pair observations · 1.46 pair observations per 100 analyzed battles
44.0%
Golisopod
Golisopod351 recorded pair observations · 1.40 pair observations per 100 analyzed battles
46.1%
Basculegion
Basculegion338 recorded pair observations · 1.35 pair observations per 100 analyzed battles
37.6%
Lucario
Lucario293 recorded pair observations · 1.17 pair observations per 100 analyzed battles
48.8%
Kingambit
Kingambit283 recorded pair observations · 1.13 pair observations per 100 analyzed battles
45.6%
Charizard
Charizard280 recorded pair observations · 1.12 pair observations per 100 analyzed battles
45.0%
Dragonite
Dragonite260 recorded pair observations · 1.04 pair observations per 100 analyzed battles
47.7%
Baxcalibur
Baxcalibur256 recorded pair observations · 1.02 pair observations per 100 analyzed battles
44.1%
Metagross
Metagross253 recorded pair observations · 1.01 pair observations per 100 analyzed battles
44.7%
Meowscarada
Meowscarada232 recorded pair observations · 0.92 pair observations per 100 analyzed battles
47.8%
Clefable
Clefable216 recorded pair observations · 0.86 pair observations per 100 analyzed battles
48.6%
Scizor
Scizor200 recorded pair observations · 0.80 pair observations per 100 analyzed battles
53.5%
Gyarados
Gyarados196 recorded pair observations · 0.78 pair observations per 100 analyzed battles
49.5%

Higher Win-rate Partners

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

Venusaur
Venusaur64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
60.9%
Serperior
Serperior28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
60.7%
Mimikyu
Mimikyu279 recorded pair observations · 1.11 pair observations per 100 analyzed battles
57.7%
Beedrill
Beedrill42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
57.1%
Sneasler
Sneasler193 recorded pair observations · 0.77 pair observations per 100 analyzed battles
57.0%
Mudsdale
Mudsdale46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
56.5%
Conkeldurr
Conkeldurr96 recorded pair observations · 0.38 pair observations per 100 analyzed battles
56.2%
Zoroark-Hisui
Zoroark-Hisui32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
56.2%
Ninetales-Alola
Ninetales-Alola168 recorded pair observations · 0.67 pair observations per 100 analyzed battles
56.0%
Greninja
Greninja43 recorded pair observations · 0.17 pair observations per 100 analyzed battles
55.8%

Lower Win-rate Partners

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

Vaporeon
Vaporeon27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
22.2%
Tyranitar
Tyranitar59 recorded pair observations · 0.24 pair observations per 100 analyzed battles
23.7%
Alakazam
Alakazam24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
25.0%
Steelix
Steelix27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
25.9%
Glalie
Glalie38 recorded pair observations · 0.15 pair observations per 100 analyzed battles
28.9%
Excadrill
Excadrill100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
31.0%
Ditto
Ditto38 recorded pair observations · 0.15 pair observations per 100 analyzed battles
31.6%
Scizor
Scizor112 recorded pair observations · 0.45 pair observations per 100 analyzed battles
33.9%
Blastoise
Blastoise98 recorded pair observations · 0.39 pair observations per 100 analyzed battles
35.7%
Annihilape
Annihilape89 recorded pair observations · 0.35 pair observations per 100 analyzed battles
36.0%

Higher Win-rate Opponent Teams

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

Eelektross
Eelektross34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
73.5%
Indeedee-F
Indeedee-F46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
69.6%
Milotic
Milotic30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
63.3%
Gliscor
Gliscor86 recorded pair observations · 0.34 pair observations per 100 analyzed battles
62.8%
Gardevoir
Gardevoir30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
60.0%
Toxapex
Toxapex177 recorded pair observations · 0.71 pair observations per 100 analyzed battles
57.6%
Excadrill
Excadrill61 recorded pair observations · 0.24 pair observations per 100 analyzed battles
57.4%
Sylveon
Sylveon53 recorded pair observations · 0.21 pair observations per 100 analyzed battles
56.6%
Ninetales-Alola
Ninetales-Alola126 recorded pair observations · 0.50 pair observations per 100 analyzed battles
56.4%
Delphox
Delphox137 recorded pair observations · 0.55 pair observations per 100 analyzed battles
55.5%

Lower Win-rate Opponent Teams

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

Banette
Banette65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
30.8%
Hatterene
Hatterene69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
34.8%
Ditto
Ditto77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
36.4%
Venusaur
Venusaur91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
37.4%
Basculegion
Basculegion338 recorded pair observations · 1.35 pair observations per 100 analyzed battles
37.6%
Blastoise
Blastoise116 recorded pair observations · 0.46 pair observations per 100 analyzed battles
38.8%
Pelipper
Pelipper108 recorded pair observations · 0.43 pair observations per 100 analyzed battles
38.9%
Hydreigon
Hydreigon115 recorded pair observations · 0.46 pair observations per 100 analyzed battles
39.1%
Froslass
Froslass28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.3%
Indeedee
Indeedee185 recorded pair observations · 0.74 pair observations per 100 analyzed battles
40.0%