Last Updated: 10/26/2026 11:14 [UTC]

Scovillain

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.21%Usage Rate
48.63%Win Rate
37.54%Lead Rate
52.83%Selection Rate
1242Avg Rating

7802 recorded team appearances · 3794 wins · 4008 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Rage Powder Recorded use in 2248 of 7802 distinct recorded team appearances (28.8%) 1116 winning team uses of 2248 recorded team uses
49.6%
Protect Recorded use in 1534 of 7802 distinct recorded team appearances (19.7%) 722 winning team uses of 1534 recorded team uses
47.1%
Leech Seed Recorded use in 1071 of 7802 distinct recorded team appearances (13.7%) 522 winning team uses of 1071 recorded team uses
48.7%
Overheat Recorded use in 771 of 7802 distinct recorded team appearances (9.9%) 422 winning team uses of 771 recorded team uses
54.7%
Giga Drain Recorded use in 714 of 7802 distinct recorded team appearances (9.2%) 389 winning team uses of 714 recorded team uses
54.5%
Flamethrower Recorded use in 611 of 7802 distinct recorded team appearances (7.8%) 329 winning team uses of 611 recorded team uses
53.8%
Leaf Storm Recorded use in 109 of 7802 distinct recorded team appearances (1.4%) 55 winning team uses of 109 recorded team uses
50.5%
Spicy Extract Recorded use in 105 of 7802 distinct recorded team appearances (1.3%) 46 winning team uses of 105 recorded team uses
43.8%
Flare Blitz Recorded use in 101 of 7802 distinct recorded team appearances (1.3%) 49 winning team uses of 101 recorded team uses
48.5%
Burning Jealousy Recorded use in 71 of 7802 distinct recorded team appearances (0.9%) 39 winning team uses of 71 recorded team uses
54.9%

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: 2026/10/12 11:01–2026/10/16 00:34 UTC 1.19 49.37 160968 1912 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 1.20 48.52 160966 1927 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 1.08 48.48 160966 1741 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 1.38 48.20 160966 2222 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 1.45 49.38 128104 1863 Observed
~R1208 1.42 48.25 129182 1828 Observed
~R1302 1.39 48.02 126962 1764 Observed
~R1405 1.00 46.86 130626 1306 Observed
R1405~ 0.81 51.20 128992 1041 Observed

Scovillain Observed Statistics

Performance Metrics

Scovillain has a reported usage rate of 1.21% and win rate of 48.63% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 3,794 wins and 4,008 losses (7,802 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 1.19% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 1.38% 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 +0.19 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 49.37% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=1,912 recorded appearances) and 48.20% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=2,222 recorded appearances), a change of -1.17 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 0.81% (R1405~; n=128,992 team slots) to 1.45% (~R1129; n=128,104 team slots), a spread of 0.64 percentage points. Overall usage was 1.21%. 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, Rage Powder has the largest recorded team-use count (2,248; 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: Sneasler: 52.6% wins in 2,480 recorded pair observations; Kingambit: 54.9% wins in 1,872 recorded pair observations; Basculegion: 53.8% wins in 1,623 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: 52.8% wins in 549 recorded pair observations; Golisopod: 51.9% wins in 1,101 recorded pair observations; Gengar: 51.6% wins in 461 recorded pair observations. Returned lower-win-rate opponent group: Glimmora: 41.5% wins in 325 recorded pair observations; Indeedee: 42.2% wins in 493 recorded pair observations; Kingambit: 43.4% wins in 1,318 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%

Sneasler
Sneasler2480 recorded pair observations · 0.77 pair observations per 100 analyzed battles
52.6%
Kingambit
Kingambit1872 recorded pair observations · 0.58 pair observations per 100 analyzed battles
54.9%
Basculegion
Basculegion1623 recorded pair observations · 0.50 pair observations per 100 analyzed battles
53.8%
Rillaboom
Rillaboom1251 recorded pair observations · 0.39 pair observations per 100 analyzed battles
44.4%
Archaludon
Archaludon1206 recorded pair observations · 0.37 pair observations per 100 analyzed battles
54.0%
Froslass
Froslass1136 recorded pair observations · 0.35 pair observations per 100 analyzed battles
53.4%
Tyranitar
Tyranitar1111 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.7%
Pelipper
Pelipper1078 recorded pair observations · 0.33 pair observations per 100 analyzed battles
53.8%
Indeedee-F
Indeedee-F999 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.8%
Raichu
Raichu960 recorded pair observations · 0.30 pair observations per 100 analyzed battles
53.1%
Gholdengo
Gholdengo949 recorded pair observations · 0.29 pair observations per 100 analyzed battles
49.2%
Farigiraf
Farigiraf936 recorded pair observations · 0.29 pair observations per 100 analyzed battles
50.0%
Incineroar
Incineroar798 recorded pair observations · 0.25 pair observations per 100 analyzed battles
48.1%
Lycanroc-Dusk
Lycanroc-Dusk779 recorded pair observations · 0.24 pair observations per 100 analyzed battles
54.9%
Garchomp
Garchomp766 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.9%
Sinistcha
Sinistcha688 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.8%
Grimmsnarl
Grimmsnarl672 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.2%
Politoed
Politoed571 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.0%
Kommo-o
Kommo-o551 recorded pair observations · 0.17 pair observations per 100 analyzed battles
51.4%
Primarina
Primarina539 recorded pair observations · 0.17 pair observations per 100 analyzed battles
51.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2365 recorded pair observations · 0.73 pair observations per 100 analyzed battles
48.1%
Sneasler
Sneasler2300 recorded pair observations · 0.71 pair observations per 100 analyzed battles
45.8%
Garchomp
Garchomp2018 recorded pair observations · 0.63 pair observations per 100 analyzed battles
47.3%
Incineroar
Incineroar2003 recorded pair observations · 0.62 pair observations per 100 analyzed battles
50.3%
Indeedee-F
Indeedee-F1418 recorded pair observations · 0.44 pair observations per 100 analyzed battles
47.2%
Archaludon
Archaludon1409 recorded pair observations · 0.44 pair observations per 100 analyzed battles
48.8%
Raichu
Raichu1409 recorded pair observations · 0.44 pair observations per 100 analyzed battles
49.0%
Farigiraf
Farigiraf1341 recorded pair observations · 0.42 pair observations per 100 analyzed battles
49.9%
Kingambit
Kingambit1318 recorded pair observations · 0.41 pair observations per 100 analyzed battles
43.4%
Charizard
Charizard1290 recorded pair observations · 0.40 pair observations per 100 analyzed battles
46.7%
Pelipper
Pelipper1236 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.9%
Golisopod
Golisopod1101 recorded pair observations · 0.34 pair observations per 100 analyzed battles
51.9%
Gholdengo
Gholdengo1007 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.5%
Whimsicott
Whimsicott1000 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.9%
Basculegion
Basculegion906 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.9%
Salamence
Salamence846 recorded pair observations · 0.26 pair observations per 100 analyzed battles
45.7%
Tyranitar
Tyranitar771 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.4%
Sinistcha
Sinistcha754 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.3%
Milotic
Milotic732 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.9%
Sylveon
Sylveon692 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.1%

Higher Win-rate Partners

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

Kingambit
Kingambit1872 recorded pair observations · 0.58 pair observations per 100 analyzed battles
54.9%
Lycanroc-Dusk
Lycanroc-Dusk779 recorded pair observations · 0.24 pair observations per 100 analyzed battles
54.9%
Archaludon
Archaludon1206 recorded pair observations · 0.37 pair observations per 100 analyzed battles
54.0%
Basculegion
Basculegion1623 recorded pair observations · 0.50 pair observations per 100 analyzed battles
53.8%
Pelipper
Pelipper1078 recorded pair observations · 0.33 pair observations per 100 analyzed battles
53.8%
Froslass
Froslass1136 recorded pair observations · 0.35 pair observations per 100 analyzed battles
53.4%
Raichu
Raichu960 recorded pair observations · 0.30 pair observations per 100 analyzed battles
53.1%
Sneasler
Sneasler2480 recorded pair observations · 0.77 pair observations per 100 analyzed battles
52.6%
Kommo-o
Kommo-o551 recorded pair observations · 0.17 pair observations per 100 analyzed battles
51.4%
Primarina
Primarina539 recorded pair observations · 0.17 pair observations per 100 analyzed battles
51.0%

Lower Win-rate Partners

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

Whimsicott
Whimsicott316 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.1%
Volcarona
Volcarona311 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.7%
Rillaboom
Rillaboom1251 recorded pair observations · 0.39 pair observations per 100 analyzed battles
44.4%
Corviknight
Corviknight307 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.6%
Glimmora
Glimmora527 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.6%
Aerodactyl
Aerodactyl448 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.5%
Sinistcha
Sinistcha688 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.8%
Golisopod
Golisopod376 recorded pair observations · 0.12 pair observations per 100 analyzed battles
46.0%
Grimmsnarl
Grimmsnarl672 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.2%
Dragapult
Dragapult457 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.7%

Higher Win-rate Opponent Teams

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

Grimmsnarl
Grimmsnarl549 recorded pair observations · 0.17 pair observations per 100 analyzed battles
52.8%
Golisopod
Golisopod1101 recorded pair observations · 0.34 pair observations per 100 analyzed battles
51.9%
Gengar
Gengar461 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.6%
Froslass
Froslass332 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.5%
Venusaur
Venusaur532 recorded pair observations · 0.17 pair observations per 100 analyzed battles
51.1%
Politoed
Politoed596 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.0%
Metagross
Metagross384 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.5%
Incineroar
Incineroar2003 recorded pair observations · 0.62 pair observations per 100 analyzed battles
50.3%
Farigiraf
Farigiraf1341 recorded pair observations · 0.42 pair observations per 100 analyzed battles
49.9%
Primarina
Primarina380 recorded pair observations · 0.12 pair observations per 100 analyzed battles
49.2%

Lower Win-rate Opponent Teams

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

Glimmora
Glimmora325 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.5%
Indeedee
Indeedee493 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.2%
Kingambit
Kingambit1318 recorded pair observations · 0.41 pair observations per 100 analyzed battles
43.4%
Armarouge
Armarouge322 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.8%
Excadrill
Excadrill548 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.7%
Floette-Eternal
Floette-Eternal499 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.9%
Sylveon
Sylveon692 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.1%
Tyranitar
Tyranitar771 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.4%
Salamence
Salamence846 recorded pair observations · 0.26 pair observations per 100 analyzed battles
45.7%
Sneasler
Sneasler2300 recorded pair observations · 0.71 pair observations per 100 analyzed battles
45.8%