Last Updated: 11/14/2026 11:03 [UTC]

Scovillain

Tier C

Mega Evolution Battle (Pokemon Champions)

6.42%Usage Rate
50.06%Win Rate
31.91%Lead Rate
57.12%Selection Rate
1102Avg Rating

1714 recorded team appearances · 858 wins · 856 losses · 11/02/2026–11/14/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Rage Powder Recorded use in 465 of 1714 distinct recorded team appearances (27.1%) 236 winning team uses of 465 recorded team uses
50.8%
Protect Recorded use in 370 of 1714 distinct recorded team appearances (21.6%) 174 winning team uses of 370 recorded team uses
47.0%
Giga Drain Recorded use in 229 of 1714 distinct recorded team appearances (13.4%) 124 winning team uses of 229 recorded team uses
54.1%
Leech Seed Recorded use in 210 of 1714 distinct recorded team appearances (12.3%) 105 winning team uses of 210 recorded team uses
50.0%
Overheat Recorded use in 156 of 1714 distinct recorded team appearances (9.1%) 81 winning team uses of 156 recorded team uses
51.9%
Flamethrower Recorded use in 128 of 1714 distinct recorded team appearances (7.5%) 73 winning team uses of 128 recorded team uses
57.0%
Will-O-Wisp Recorded use in 33 of 1714 distinct recorded team appearances (1.9%) 14 winning team uses of 33 recorded team uses
42.4%
Leaf Storm Recorded use in 28 of 1714 distinct recorded team appearances (1.6%) 14 winning team uses of 28 recorded team uses
50.0%
Energy Ball Recorded use in 18 of 1714 distinct recorded team appearances (1.1%) 9 winning team uses of 18 recorded team uses
50.0%
Flare Blitz Recorded use in 16 of 1714 distinct recorded team appearances (0.9%) 10 winning team uses of 16 recorded team uses
62.5%

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: 2026/11/02 05:31–2026/11/06 09:20 UTC 5.28 48.86 6672 352 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 4.90 49.24 6672 327 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 7.91 50.38 6672 528 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 7.60 51.08 6670 507 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 5.66 52.07 5124 290 Observed
~R1079 6.81 49.33 5508 375 Observed
~R1108 6.73 50.56 5318 358 Observed
~R1148 6.89 50.69 5268 363 Observed
R1148~ 6.00 47.87 5468 328 Observed

Scovillain Observed Statistics

Performance Metrics

Scovillain has a reported usage rate of 6.42% and win rate of 50.06% in Mega Evolution Battle (Pokemon Champions) (displayed tier: C). The report covers 11/02/2026 to 11/14/2026 (UTC), with 13,343 recorded battles. 858 wins and 856 losses (1,714 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 5.28% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 7.60% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=6,670 team slots), a change of +2.32 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. Win rate was 48.86% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=352 recorded appearances) and 51.08% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=507 recorded appearances), a change of +2.22 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 5.66% (~R1054; n=5,124 team slots) to 6.89% (~R1148; n=5,268 team slots), a spread of 1.23 percentage points. Overall usage was 6.42%. 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 (465; 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: 52.2% wins in 722 recorded pair observations; Sableye: 46.2% wins in 459 recorded pair observations; Tyranitar: 45.9% wins in 440 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: Dragalge: 71.0% wins in 31 recorded pair observations; Feraligatr: 70.6% wins in 34 recorded pair observations; Manectric: 68.2% wins in 22 recorded pair observations. Returned lower-win-rate opponent group: Chandelure: 41.8% wins in 182 recorded pair observations; Meganium: 42.5% wins in 47 recorded pair observations; Delphox: 43.0% wins in 135 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
Garchomp722 recorded pair observations · 5.41 pair observations per 100 analyzed battles
52.2%
Sableye
Sableye459 recorded pair observations · 3.44 pair observations per 100 analyzed battles
46.2%
Tyranitar
Tyranitar440 recorded pair observations · 3.30 pair observations per 100 analyzed battles
45.9%
Excadrill
Excadrill372 recorded pair observations · 2.79 pair observations per 100 analyzed battles
48.7%
Scrafty
Scrafty358 recorded pair observations · 2.68 pair observations per 100 analyzed battles
57.5%
Clefable
Clefable326 recorded pair observations · 2.44 pair observations per 100 analyzed battles
50.9%
Floette-Eternal
Floette-Eternal304 recorded pair observations · 2.28 pair observations per 100 analyzed battles
55.3%
Aerodactyl
Aerodactyl303 recorded pair observations · 2.27 pair observations per 100 analyzed battles
52.8%
Raichu
Raichu301 recorded pair observations · 2.26 pair observations per 100 analyzed battles
48.8%
Staraptor
Staraptor279 recorded pair observations · 2.09 pair observations per 100 analyzed battles
50.5%
Glimmora
Glimmora272 recorded pair observations · 2.04 pair observations per 100 analyzed battles
52.2%
Meowstic
Meowstic269 recorded pair observations · 2.02 pair observations per 100 analyzed battles
50.9%
Swampert
Swampert265 recorded pair observations · 1.99 pair observations per 100 analyzed battles
55.5%
Scizor
Scizor263 recorded pair observations · 1.97 pair observations per 100 analyzed battles
54.0%
Gardevoir
Gardevoir248 recorded pair observations · 1.86 pair observations per 100 analyzed battles
49.2%
Baxcalibur
Baxcalibur226 recorded pair observations · 1.69 pair observations per 100 analyzed battles
53.1%
Blastoise
Blastoise206 recorded pair observations · 1.54 pair observations per 100 analyzed battles
51.9%
Froslass
Froslass193 recorded pair observations · 1.45 pair observations per 100 analyzed battles
50.8%
Kangaskhan
Kangaskhan193 recorded pair observations · 1.45 pair observations per 100 analyzed battles
49.2%
Gengar
Gengar173 recorded pair observations · 1.30 pair observations per 100 analyzed battles
51.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp756 recorded pair observations · 5.67 pair observations per 100 analyzed battles
48.3%
Clefable
Clefable609 recorded pair observations · 4.56 pair observations per 100 analyzed battles
49.1%
Sableye
Sableye526 recorded pair observations · 3.94 pair observations per 100 analyzed battles
52.7%
Scrafty
Scrafty436 recorded pair observations · 3.27 pair observations per 100 analyzed battles
45.4%
Tyranitar
Tyranitar406 recorded pair observations · 3.04 pair observations per 100 analyzed battles
50.0%
Excadrill
Excadrill359 recorded pair observations · 2.69 pair observations per 100 analyzed battles
49.0%
Raichu
Raichu330 recorded pair observations · 2.47 pair observations per 100 analyzed battles
51.8%
Charizard
Charizard305 recorded pair observations · 2.29 pair observations per 100 analyzed battles
52.1%
Venusaur
Venusaur305 recorded pair observations · 2.29 pair observations per 100 analyzed battles
52.5%
Aerodactyl
Aerodactyl304 recorded pair observations · 2.28 pair observations per 100 analyzed battles
48.7%
Kangaskhan
Kangaskhan302 recorded pair observations · 2.26 pair observations per 100 analyzed battles
45.0%
Staraptor
Staraptor298 recorded pair observations · 2.23 pair observations per 100 analyzed battles
49.3%
Salamence
Salamence253 recorded pair observations · 1.90 pair observations per 100 analyzed battles
43.1%
Gengar
Gengar236 recorded pair observations · 1.77 pair observations per 100 analyzed battles
49.1%
Gardevoir
Gardevoir233 recorded pair observations · 1.75 pair observations per 100 analyzed battles
47.2%
Blastoise
Blastoise229 recorded pair observations · 1.72 pair observations per 100 analyzed battles
48.9%
Metagross
Metagross221 recorded pair observations · 1.66 pair observations per 100 analyzed battles
48.0%
Meowstic
Meowstic219 recorded pair observations · 1.64 pair observations per 100 analyzed battles
54.8%
Floette-Eternal
Floette-Eternal218 recorded pair observations · 1.63 pair observations per 100 analyzed battles
46.8%
Scizor
Scizor218 recorded pair observations · 1.63 pair observations per 100 analyzed battles
48.6%

Higher Win-rate Partners

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

Chandelure
Chandelure59 recorded pair observations · 0.44 pair observations per 100 analyzed battles
57.6%
Scrafty
Scrafty358 recorded pair observations · 2.68 pair observations per 100 analyzed battles
57.5%
Feraligatr
Feraligatr35 recorded pair observations · 0.26 pair observations per 100 analyzed battles
57.1%
Mawile
Mawile63 recorded pair observations · 0.47 pair observations per 100 analyzed battles
57.1%
Meowstic-F
Meowstic-F58 recorded pair observations · 0.43 pair observations per 100 analyzed battles
56.9%
Greninja
Greninja44 recorded pair observations · 0.33 pair observations per 100 analyzed battles
56.8%
Swampert
Swampert265 recorded pair observations · 1.99 pair observations per 100 analyzed battles
55.5%
Floette-Eternal
Floette-Eternal304 recorded pair observations · 2.28 pair observations per 100 analyzed battles
55.3%
Delphox
Delphox49 recorded pair observations · 0.37 pair observations per 100 analyzed battles
55.1%
Hawlucha
Hawlucha151 recorded pair observations · 1.13 pair observations per 100 analyzed battles
55.0%

Lower Win-rate Partners

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

Steelix
Steelix18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
27.8%
Aggron
Aggron26 recorded pair observations · 0.19 pair observations per 100 analyzed battles
30.8%
Victreebel
Victreebel21 recorded pair observations · 0.16 pair observations per 100 analyzed battles
33.3%
Absol
Absol77 recorded pair observations · 0.58 pair observations per 100 analyzed battles
36.4%
Dragalge
Dragalge24 recorded pair observations · 0.18 pair observations per 100 analyzed battles
37.5%
Skarmory
Skarmory62 recorded pair observations · 0.46 pair observations per 100 analyzed battles
38.7%
Drampa
Drampa63 recorded pair observations · 0.47 pair observations per 100 analyzed battles
39.7%
Malamar
Malamar52 recorded pair observations · 0.39 pair observations per 100 analyzed battles
40.4%
Gallade
Gallade26 recorded pair observations · 0.19 pair observations per 100 analyzed battles
42.3%
Slowbro
Slowbro111 recorded pair observations · 0.83 pair observations per 100 analyzed battles
42.3%

Higher Win-rate Opponent Teams

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

Dragalge
Dragalge31 recorded pair observations · 0.23 pair observations per 100 analyzed battles
71.0%
Feraligatr
Feraligatr34 recorded pair observations · 0.25 pair observations per 100 analyzed battles
70.6%
Manectric
Manectric22 recorded pair observations · 0.16 pair observations per 100 analyzed battles
68.2%
Medicham
Medicham30 recorded pair observations · 0.22 pair observations per 100 analyzed battles
63.3%
Sceptile
Sceptile48 recorded pair observations · 0.36 pair observations per 100 analyzed battles
62.5%
Starmie
Starmie44 recorded pair observations · 0.33 pair observations per 100 analyzed battles
61.4%
Absol
Absol79 recorded pair observations · 0.59 pair observations per 100 analyzed battles
60.8%
Lucario
Lucario69 recorded pair observations · 0.52 pair observations per 100 analyzed battles
59.4%
Gallade
Gallade86 recorded pair observations · 0.64 pair observations per 100 analyzed battles
59.3%
Abomasnow
Abomasnow41 recorded pair observations · 0.31 pair observations per 100 analyzed battles
58.5%

Lower Win-rate Opponent Teams

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

Chandelure
Chandelure182 recorded pair observations · 1.36 pair observations per 100 analyzed battles
41.8%
Meganium
Meganium47 recorded pair observations · 0.35 pair observations per 100 analyzed battles
42.5%
Delphox
Delphox135 recorded pair observations · 1.01 pair observations per 100 analyzed battles
43.0%
Salamence
Salamence253 recorded pair observations · 1.90 pair observations per 100 analyzed battles
43.1%
Golisopod
Golisopod196 recorded pair observations · 1.47 pair observations per 100 analyzed battles
44.9%
Kangaskhan
Kangaskhan302 recorded pair observations · 2.26 pair observations per 100 analyzed battles
45.0%
Scrafty
Scrafty436 recorded pair observations · 3.27 pair observations per 100 analyzed battles
45.4%
Floette-Eternal
Floette-Eternal218 recorded pair observations · 1.63 pair observations per 100 analyzed battles
46.8%
Golurk
Golurk17 recorded pair observations · 0.13 pair observations per 100 analyzed battles
47.1%
Mawile
Mawile51 recorded pair observations · 0.38 pair observations per 100 analyzed battles
47.1%