Last Updated: 10/24/2026 11:04 [UTC]

Scovillain

Tier E

BSS Regulation M-C (Pokemon Champions)

1.12%Usage Rate
45.19%Win Rate
15.66%Lead Rate
36.54%Selection Rate
1157Avg Rating

613 recorded team appearances · 277 wins · 336 losses · 10/10/2026–10/24/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Protect Recorded use in 144 of 613 distinct recorded team appearances (23.5%) 64 winning team uses of 144 recorded team uses
44.4%
Leech Seed Recorded use in 92 of 613 distinct recorded team appearances (15.0%) 53 winning team uses of 92 recorded team uses
57.6%
Flamethrower Recorded use in 63 of 613 distinct recorded team appearances (10.3%) 37 winning team uses of 63 recorded team uses
58.7%
Giga Drain Recorded use in 62 of 613 distinct recorded team appearances (10.1%) 42 winning team uses of 62 recorded team uses
67.7%
Overheat Recorded use in 38 of 613 distinct recorded team appearances (6.2%) 15 winning team uses of 38 recorded team uses
39.5%
Substitute Recorded use in 34 of 613 distinct recorded team appearances (5.5%) 22 winning team uses of 34 recorded team uses
64.7%
Leaf Storm Recorded use in 18 of 613 distinct recorded team appearances (2.9%) 8 winning team uses of 18 recorded team uses
44.4%
Fire Blast Recorded use in 13 of 613 distinct recorded team appearances (2.1%) 10 winning team uses of 13 recorded team uses
76.9%

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: 2026/10/10 11:01–2026/10/13 11:23 UTC 1.00 43.07 13648 137 Observed
Period 2: 2026/10/13 11:24–2026/10/16 20:57 UTC 0.92 42.06 13646 126 Observed
Period 3: 2026/10/16 20:58–2026/10/20 06:47 UTC 0.95 45.74 13646 129 Observed
Period 4: 2026/10/20 06:48–2026/10/24 10:58 UTC 1.62 47.96 13646 221 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1090 1.37 44.97 10846 149 Observed
~R1142 1.47 44.94 10784 158 Observed
~R1208 1.15 44.00 10900 125 Observed
~R1296 0.95 47.17 11136 106 Observed
R1296~ 0.69 45.33 10920 75 Observed

Scovillain Observed Statistics

Performance Metrics

Scovillain has a reported usage rate of 1.12% and win rate of 45.19% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/10/2026 to 10/24/2026 (UTC), with 27,293 recorded battles. 277 wins and 336 losses (613 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 1.00% in the first available period (Period 1: 2026/10/10 11:01–2026/10/13 11:23 UTC; n=13,648 team slots) and 1.62% in the last available period (Period 4: 2026/10/20 06:48–2026/10/24 10:58 UTC; n=13,646 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 43.07% in the first available period (Period 1: 2026/10/10 11:01–2026/10/13 11:23 UTC; n=137 recorded appearances) and 47.96% in the last available period (Period 4: 2026/10/20 06:48–2026/10/24 10:58 UTC; n=221 recorded appearances), a change of +4.89 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 0.69% (R1296~; n=10,920 team slots) to 1.47% (~R1142; n=10,784 team slots), a spread of 0.78 percentage points. Overall usage was 1.12%. 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, Protect has the largest recorded team-use count (144; 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: 47.6% wins in 191 recorded pair observations; Dragalge: 44.6% wins in 148 recorded pair observations; Clefable: 57.5% wins in 146 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: Barbaracle: 65.4% wins in 26 recorded pair observations; Pawmot: 62.5% wins in 32 recorded pair observations; Clefable: 56.5% wins in 46 recorded pair observations. Returned lower-win-rate opponent group: Gliscor: 30.8% wins in 26 recorded pair observations; Golisopod: 34.3% wins in 67 recorded pair observations; Glimmora: 35.3% wins in 34 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
Garchomp191 recorded pair observations · 0.70 pair observations per 100 analyzed battles
47.6%
Dragalge
Dragalge148 recorded pair observations · 0.54 pair observations per 100 analyzed battles
44.6%
Clefable
Clefable146 recorded pair observations · 0.53 pair observations per 100 analyzed battles
57.5%
Archaludon
Archaludon103 recorded pair observations · 0.38 pair observations per 100 analyzed battles
47.6%
Ditto
Ditto102 recorded pair observations · 0.37 pair observations per 100 analyzed battles
40.2%
Audino
Audino92 recorded pair observations · 0.34 pair observations per 100 analyzed battles
45.6%
Sableye
Sableye91 recorded pair observations · 0.33 pair observations per 100 analyzed battles
42.9%
Corviknight
Corviknight82 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.3%
Glimmora
Glimmora80 recorded pair observations · 0.29 pair observations per 100 analyzed battles
46.2%
Espathra
Espathra76 recorded pair observations · 0.28 pair observations per 100 analyzed battles
56.6%
Meowscarada
Meowscarada67 recorded pair observations · 0.25 pair observations per 100 analyzed battles
41.8%
Steelix
Steelix64 recorded pair observations · 0.23 pair observations per 100 analyzed battles
39.1%
Tyranitar
Tyranitar61 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.2%
Dragonite
Dragonite52 recorded pair observations · 0.19 pair observations per 100 analyzed battles
53.9%
Mimikyu
Mimikyu51 recorded pair observations · 0.19 pair observations per 100 analyzed battles
33.3%
Primarina
Primarina49 recorded pair observations · 0.18 pair observations per 100 analyzed battles
44.9%
Gholdengo
Gholdengo45 recorded pair observations · 0.16 pair observations per 100 analyzed battles
51.1%
Grapploct
Grapploct45 recorded pair observations · 0.16 pair observations per 100 analyzed battles
40.0%
Sylveon
Sylveon45 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.4%
Ninetales-Alola
Ninetales-Alola44 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp198 recorded pair observations · 0.73 pair observations per 100 analyzed battles
45.5%
Primarina
Primarina151 recorded pair observations · 0.55 pair observations per 100 analyzed battles
40.4%
Gholdengo
Gholdengo126 recorded pair observations · 0.46 pair observations per 100 analyzed battles
38.9%
Hippowdon
Hippowdon118 recorded pair observations · 0.43 pair observations per 100 analyzed battles
53.4%
Salamence
Salamence114 recorded pair observations · 0.42 pair observations per 100 analyzed battles
46.5%
Archaludon
Archaludon105 recorded pair observations · 0.38 pair observations per 100 analyzed battles
41.0%
Mimikyu
Mimikyu101 recorded pair observations · 0.37 pair observations per 100 analyzed battles
42.6%
Corviknight
Corviknight95 recorded pair observations · 0.35 pair observations per 100 analyzed battles
39.0%
Lucario
Lucario88 recorded pair observations · 0.32 pair observations per 100 analyzed battles
46.6%
Basculegion
Basculegion77 recorded pair observations · 0.28 pair observations per 100 analyzed battles
42.9%
Charizard
Charizard77 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.8%
Meowscarada
Meowscarada76 recorded pair observations · 0.28 pair observations per 100 analyzed battles
48.7%
Golisopod
Golisopod67 recorded pair observations · 0.25 pair observations per 100 analyzed battles
34.3%
Metagross
Metagross66 recorded pair observations · 0.24 pair observations per 100 analyzed battles
40.9%
Baxcalibur
Baxcalibur65 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.7%
Kingambit
Kingambit65 recorded pair observations · 0.24 pair observations per 100 analyzed battles
55.4%
Scizor
Scizor64 recorded pair observations · 0.23 pair observations per 100 analyzed battles
50.0%
Rillaboom
Rillaboom63 recorded pair observations · 0.23 pair observations per 100 analyzed battles
42.9%
Toxapex
Toxapex55 recorded pair observations · 0.20 pair observations per 100 analyzed battles
40.0%
Dragonite
Dragonite54 recorded pair observations · 0.20 pair observations per 100 analyzed battles
50.0%

Higher Win-rate Partners

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

Arboliva
Arboliva39 recorded pair observations · 0.14 pair observations per 100 analyzed battles
71.8%
Pelipper
Pelipper32 recorded pair observations · 0.12 pair observations per 100 analyzed battles
65.6%
Clefable
Clefable146 recorded pair observations · 0.53 pair observations per 100 analyzed battles
57.5%
Kingambit
Kingambit42 recorded pair observations · 0.15 pair observations per 100 analyzed battles
57.1%
Espathra
Espathra76 recorded pair observations · 0.28 pair observations per 100 analyzed battles
56.6%
Starmie
Starmie36 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.6%
Golisopod
Golisopod35 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.3%
Dragonite
Dragonite52 recorded pair observations · 0.19 pair observations per 100 analyzed battles
53.9%
Indeedee
Indeedee31 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.6%
Basculegion
Basculegion37 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.4%

Lower Win-rate Partners

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

Aegislash
Aegislash27 recorded pair observations · 0.10 pair observations per 100 analyzed battles
25.9%
Indeedee-F
Indeedee-F39 recorded pair observations · 0.14 pair observations per 100 analyzed battles
33.3%
Mimikyu
Mimikyu51 recorded pair observations · 0.19 pair observations per 100 analyzed battles
33.3%
Bellibolt
Bellibolt39 recorded pair observations · 0.14 pair observations per 100 analyzed battles
35.9%
Skeledirge
Skeledirge44 recorded pair observations · 0.16 pair observations per 100 analyzed battles
36.4%
Sneasler
Sneasler33 recorded pair observations · 0.12 pair observations per 100 analyzed battles
36.4%
Clawitzer
Clawitzer35 recorded pair observations · 0.13 pair observations per 100 analyzed battles
37.1%
Steelix
Steelix64 recorded pair observations · 0.23 pair observations per 100 analyzed battles
39.1%
Grapploct
Grapploct45 recorded pair observations · 0.16 pair observations per 100 analyzed battles
40.0%
Ditto
Ditto102 recorded pair observations · 0.37 pair observations per 100 analyzed battles
40.2%

Higher Win-rate Opponent Teams

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

Barbaracle
Barbaracle26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
65.4%
Pawmot
Pawmot32 recorded pair observations · 0.12 pair observations per 100 analyzed battles
62.5%
Clefable
Clefable46 recorded pair observations · 0.17 pair observations per 100 analyzed battles
56.5%
Kingambit
Kingambit65 recorded pair observations · 0.24 pair observations per 100 analyzed battles
55.4%
Blastoise
Blastoise29 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.2%
Floette-Eternal
Floette-Eternal42 recorded pair observations · 0.15 pair observations per 100 analyzed battles
54.8%
Gyarados
Gyarados54 recorded pair observations · 0.20 pair observations per 100 analyzed battles
53.7%
Hippowdon
Hippowdon118 recorded pair observations · 0.43 pair observations per 100 analyzed battles
53.4%
Blaziken
Blaziken44 recorded pair observations · 0.16 pair observations per 100 analyzed battles
50.0%
Dragonite
Dragonite54 recorded pair observations · 0.20 pair observations per 100 analyzed battles
50.0%

Lower Win-rate Opponent Teams

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

Gliscor
Gliscor26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
30.8%
Golisopod
Golisopod67 recorded pair observations · 0.25 pair observations per 100 analyzed battles
34.3%
Glimmora
Glimmora34 recorded pair observations · 0.12 pair observations per 100 analyzed battles
35.3%
Samurott-Hisui
Samurott-Hisui34 recorded pair observations · 0.12 pair observations per 100 analyzed battles
35.3%
Skeledirge
Skeledirge42 recorded pair observations · 0.15 pair observations per 100 analyzed battles
35.7%
Gholdengo
Gholdengo126 recorded pair observations · 0.46 pair observations per 100 analyzed battles
38.9%
Corviknight
Corviknight95 recorded pair observations · 0.35 pair observations per 100 analyzed battles
39.0%
Grimmsnarl
Grimmsnarl30 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.0%
Toxapex
Toxapex55 recorded pair observations · 0.20 pair observations per 100 analyzed battles
40.0%
Primarina
Primarina151 recorded pair observations · 0.55 pair observations per 100 analyzed battles
40.4%