Last Updated: 10/26/2026 11:07 [UTC]

Camerupt

Tier D

VGC 2026 Regulation M-C (Pokemon Champions)

2.54%Usage Rate
51.38%Win Rate
12.99%Lead Rate
59.78%Selection Rate
1281Avg Rating

16349 recorded team appearances · 8400 wins · 7949 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Earth Power Recorded use in 4892 of 16349 distinct recorded team appearances (29.9%) 2895 winning team uses of 4892 recorded team uses
59.2%
Heat Wave Recorded use in 4331 of 16349 distinct recorded team appearances (26.5%) 2451 winning team uses of 4331 recorded team uses
56.6%
Protect Recorded use in 3078 of 16349 distinct recorded team appearances (18.8%) 1376 winning team uses of 3078 recorded team uses
44.7%
Ancient Power Recorded use in 1599 of 16349 distinct recorded team appearances (9.8%) 912 winning team uses of 1599 recorded team uses
57.0%
Eruption Recorded use in 1420 of 16349 distinct recorded team appearances (8.7%) 845 winning team uses of 1420 recorded team uses
59.5%
Flamethrower Recorded use in 159 of 16349 distinct recorded team appearances (1.0%) 97 winning team uses of 159 recorded team uses
61.0%
Rock Slide Recorded use in 47 of 16349 distinct recorded team appearances (0.3%) 22 winning team uses of 47 recorded team uses
46.8%
Flash Cannon Recorded use in 46 of 16349 distinct recorded team appearances (0.3%) 19 winning team uses of 46 recorded team uses
41.3%
Earthquake Recorded use in 39 of 16349 distinct recorded team appearances (0.2%) 25 winning team uses of 39 recorded team uses
64.1%
Overheat Recorded use in 33 of 16349 distinct recorded team appearances (0.2%) 17 winning team uses of 33 recorded team uses
51.5%

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 11:01–2026/10/16 00:34 UTC 2.24 52.14 160968 3598 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 2.14 49.52 160966 3439 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 2.59 50.40 160966 4171 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 3.19 52.89 160966 5141 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 2.28 54.22 128104 2916 Observed
~R1208 2.45 52.32 129182 3167 Observed
~R1302 2.60 51.87 126962 3297 Observed
~R1405 2.69 51.08 130626 3510 Observed
R1405~ 2.68 47.96 128992 3459 Observed

Camerupt Observed Statistics

Performance Metrics

Camerupt has a reported usage rate of 2.54% and win rate of 51.38% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 8,400 wins and 7,949 losses (16,349 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 2.24% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 3.19% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 team slots), a change of +0.95 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 52.14% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=3,598 recorded appearances) and 52.89% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=5,141 recorded appearances), a change of +0.75 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 2.28% (~R1129; n=128,104 team slots) to 2.69% (~R1405; n=130,626 team slots), a spread of 0.41 percentage points. Overall usage was 2.54%. 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, Earth Power has the largest recorded team-use count (4,892; 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: Farigiraf: 52.3% wins in 9,988 recorded pair observations; Rillaboom: 54.1% wins in 5,311 recorded pair observations; Indeedee-F: 51.9% wins in 5,308 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: Lucario: 60.7% wins in 476 recorded pair observations; Sceptile: 58.7% wins in 317 recorded pair observations; Maushold: 57.1% wins in 368 recorded pair observations. Returned lower-win-rate opponent group: Primarina: 42.7% wins in 875 recorded pair observations; Politoed: 43.7% wins in 1,214 recorded pair observations; Grimmsnarl: 44.3% wins in 1,102 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%

Farigiraf
Farigiraf9988 recorded pair observations · 3.10 pair observations per 100 analyzed battles
52.3%
Rillaboom
Rillaboom5311 recorded pair observations · 1.65 pair observations per 100 analyzed battles
54.1%
Indeedee-F
Indeedee-F5308 recorded pair observations · 1.65 pair observations per 100 analyzed battles
51.9%
Incineroar
Incineroar3975 recorded pair observations · 1.23 pair observations per 100 analyzed battles
54.1%
Kingambit
Kingambit3404 recorded pair observations · 1.06 pair observations per 100 analyzed battles
52.4%
Sylveon
Sylveon3103 recorded pair observations · 0.96 pair observations per 100 analyzed battles
54.8%
Hatterene
Hatterene2982 recorded pair observations · 0.93 pair observations per 100 analyzed battles
51.2%
Sneasler
Sneasler2263 recorded pair observations · 0.70 pair observations per 100 analyzed battles
51.9%
Raichu
Raichu2122 recorded pair observations · 0.66 pair observations per 100 analyzed battles
56.1%
Torkoal
Torkoal1871 recorded pair observations · 0.58 pair observations per 100 analyzed battles
49.3%
Golisopod
Golisopod1648 recorded pair observations · 0.51 pair observations per 100 analyzed battles
50.3%
Sinistcha
Sinistcha1433 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.8%
Staraptor
Staraptor1375 recorded pair observations · 0.43 pair observations per 100 analyzed battles
52.7%
Primarina
Primarina1369 recorded pair observations · 0.43 pair observations per 100 analyzed battles
52.9%
Basculegion
Basculegion1238 recorded pair observations · 0.38 pair observations per 100 analyzed battles
51.6%
Maushold
Maushold1163 recorded pair observations · 0.36 pair observations per 100 analyzed battles
50.3%
Kangaskhan
Kangaskhan930 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.3%
Drampa
Drampa903 recorded pair observations · 0.28 pair observations per 100 analyzed battles
52.5%
Grapploct
Grapploct896 recorded pair observations · 0.28 pair observations per 100 analyzed battles
52.0%
Gallade
Gallade814 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Sneasler
Sneasler5130 recorded pair observations · 1.59 pair observations per 100 analyzed battles
51.9%
Rillaboom
Rillaboom5068 recorded pair observations · 1.57 pair observations per 100 analyzed battles
50.7%
Incineroar
Incineroar4340 recorded pair observations · 1.35 pair observations per 100 analyzed battles
51.4%
Garchomp
Garchomp4237 recorded pair observations · 1.32 pair observations per 100 analyzed battles
51.7%
Raichu
Raichu3245 recorded pair observations · 1.01 pair observations per 100 analyzed battles
52.3%
Archaludon
Archaludon3232 recorded pair observations · 1.00 pair observations per 100 analyzed battles
45.4%
Indeedee-F
Indeedee-F2914 recorded pair observations · 0.91 pair observations per 100 analyzed battles
51.6%
Pelipper
Pelipper2818 recorded pair observations · 0.88 pair observations per 100 analyzed battles
46.5%
Kingambit
Kingambit2803 recorded pair observations · 0.87 pair observations per 100 analyzed battles
49.2%
Farigiraf
Farigiraf2735 recorded pair observations · 0.85 pair observations per 100 analyzed battles
50.6%
Charizard
Charizard2698 recorded pair observations · 0.84 pair observations per 100 analyzed battles
49.0%
Golisopod
Golisopod2431 recorded pair observations · 0.76 pair observations per 100 analyzed battles
45.8%
Gholdengo
Gholdengo2114 recorded pair observations · 0.66 pair observations per 100 analyzed battles
52.5%
Whimsicott
Whimsicott2040 recorded pair observations · 0.63 pair observations per 100 analyzed battles
53.8%
Basculegion
Basculegion1948 recorded pair observations · 0.61 pair observations per 100 analyzed battles
48.2%
Salamence
Salamence1809 recorded pair observations · 0.56 pair observations per 100 analyzed battles
48.3%
Tyranitar
Tyranitar1615 recorded pair observations · 0.50 pair observations per 100 analyzed battles
50.0%
Sinistcha
Sinistcha1578 recorded pair observations · 0.49 pair observations per 100 analyzed battles
51.0%
Milotic
Milotic1437 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.0%
Volcarona
Volcarona1385 recorded pair observations · 0.43 pair observations per 100 analyzed battles
54.4%

Higher Win-rate Partners

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

Raichu
Raichu2122 recorded pair observations · 0.66 pair observations per 100 analyzed battles
56.1%
Spiritomb
Spiritomb403 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.6%
Meganium
Meganium316 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.1%
Sylveon
Sylveon3103 recorded pair observations · 0.96 pair observations per 100 analyzed battles
54.8%
Incineroar
Incineroar3975 recorded pair observations · 1.23 pair observations per 100 analyzed battles
54.1%
Rillaboom
Rillaboom5311 recorded pair observations · 1.65 pair observations per 100 analyzed battles
54.1%
Meowscarada
Meowscarada362 recorded pair observations · 0.11 pair observations per 100 analyzed battles
53.6%
Zoroark-Hisui
Zoroark-Hisui384 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.6%
Vanilluxe
Vanilluxe379 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.3%
Primarina
Primarina1369 recorded pair observations · 0.43 pair observations per 100 analyzed battles
52.9%

Lower Win-rate Partners

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

Mamoswine
Mamoswine374 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.0%
Sableye
Sableye439 recorded pair observations · 0.14 pair observations per 100 analyzed battles
43.7%
Abomasnow
Abomasnow753 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.3%
Crabominable
Crabominable538 recorded pair observations · 0.17 pair observations per 100 analyzed battles
47.4%
Mawile
Mawile583 recorded pair observations · 0.18 pair observations per 100 analyzed battles
47.7%
Sinistcha
Sinistcha1433 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.8%
Whimsicott
Whimsicott563 recorded pair observations · 0.17 pair observations per 100 analyzed battles
48.1%
Slowking-Galar
Slowking-Galar452 recorded pair observations · 0.14 pair observations per 100 analyzed battles
48.2%
Kangaskhan
Kangaskhan930 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.3%
Oranguru
Oranguru623 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.5%

Higher Win-rate Opponent Teams

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

Lucario
Lucario476 recorded pair observations · 0.15 pair observations per 100 analyzed battles
60.7%
Sceptile
Sceptile317 recorded pair observations · 0.10 pair observations per 100 analyzed battles
58.7%
Maushold
Maushold368 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.1%
Hydreigon
Hydreigon309 recorded pair observations · 0.10 pair observations per 100 analyzed battles
57.0%
Ninetales-Alola
Ninetales-Alola513 recorded pair observations · 0.16 pair observations per 100 analyzed battles
56.5%
Absol
Absol307 recorded pair observations · 0.10 pair observations per 100 analyzed battles
56.4%
Corviknight
Corviknight469 recorded pair observations · 0.15 pair observations per 100 analyzed battles
56.1%
Sableye
Sableye492 recorded pair observations · 0.15 pair observations per 100 analyzed battles
56.1%
Ceruledge
Ceruledge314 recorded pair observations · 0.10 pair observations per 100 analyzed battles
56.0%
Rotom-Heat
Rotom-Heat317 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.8%

Lower Win-rate Opponent Teams

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

Primarina
Primarina875 recorded pair observations · 0.27 pair observations per 100 analyzed battles
42.7%
Politoed
Politoed1214 recorded pair observations · 0.38 pair observations per 100 analyzed battles
43.7%
Grimmsnarl
Grimmsnarl1102 recorded pair observations · 0.34 pair observations per 100 analyzed battles
44.3%
Delphox
Delphox609 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.3%
Archaludon
Archaludon3232 recorded pair observations · 1.00 pair observations per 100 analyzed battles
45.4%
Swampert
Swampert736 recorded pair observations · 0.23 pair observations per 100 analyzed battles
45.4%
Golisopod
Golisopod2431 recorded pair observations · 0.76 pair observations per 100 analyzed battles
45.8%
Pelipper
Pelipper2818 recorded pair observations · 0.88 pair observations per 100 analyzed battles
46.5%
Blastoise
Blastoise407 recorded pair observations · 0.13 pair observations per 100 analyzed battles
46.7%
Milotic
Milotic1437 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.0%