Last Updated: 11/14/2026 11:04 [UTC]

Medicham

Tier E

Mega Evolution Battle (Pokemon Champions)

1.57%Usage Rate
47.14%Win Rate
55.48%Lead Rate
70.00%Selection Rate
1094Avg Rating

420 recorded team appearances · 198 wins · 222 losses · 11/02/2026–11/14/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Fake Out Recorded use in 173 of 420 distinct recorded team appearances (41.2%) 82 winning team uses of 173 recorded team uses
47.4%
Close Combat Recorded use in 65 of 420 distinct recorded team appearances (15.5%) 42 winning team uses of 65 recorded team uses
64.6%
Rock Slide Recorded use in 43 of 420 distinct recorded team appearances (10.2%) 16 winning team uses of 43 recorded team uses
37.2%
Feint Recorded use in 36 of 420 distinct recorded team appearances (8.6%) 19 winning team uses of 36 recorded team uses
52.8%
Helping Hand Recorded use in 28 of 420 distinct recorded team appearances (6.7%) 13 winning team uses of 28 recorded team uses
46.4%
Zen Headbutt Recorded use in 23 of 420 distinct recorded team appearances (5.5%) 13 winning team uses of 23 recorded team uses
56.5%
Trick Room Recorded use in 21 of 420 distinct recorded team appearances (5.0%) 7 winning team uses of 21 recorded team uses
33.3%
Quick Guard Recorded use in 19 of 420 distinct recorded team appearances (4.5%) 10 winning team uses of 19 recorded team uses
52.6%
Psychic Terrain Recorded use in 18 of 420 distinct recorded team appearances (4.3%) 10 winning team uses of 18 recorded team uses
55.6%
Coaching Recorded use in 17 of 420 distinct recorded team appearances (4.0%) 9 winning team uses of 17 recorded team uses
52.9%

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: 2026/11/02 05:31–2026/11/06 09:20 UTC 1.33 37.08 6672 89 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 1.05 45.71 6672 70 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 2.07 45.65 6672 138 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 1.84 56.91 6670 123 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 1.54 53.16 5124 79 Observed
~R1079 1.91 48.57 5508 105 Observed
~R1108 1.67 43.82 5318 89 Observed
~R1148 1.44 46.05 5268 76 Observed
R1148~ 1.30 43.66 5468 71 Observed

Medicham Observed Statistics

Performance Metrics

Medicham has a reported usage rate of 1.57% and win rate of 47.14% in Mega Evolution Battle (Pokemon Champions) (displayed tier: E). The report covers 11/02/2026 to 11/14/2026 (UTC), with 13,343 recorded battles. 198 wins and 222 losses (420 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 1.33% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 1.84% 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 +0.51 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 37.08% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=89 recorded appearances) and 56.91% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=123 recorded appearances), a change of +19.83 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 1.30% (R1148~; n=5,468 team slots) to 1.91% (~R1079; n=5,508 team slots), a spread of 0.61 percentage points. Overall usage was 1.57%. 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, Fake Out has the largest recorded team-use count (173; 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: 48.8% wins in 164 recorded pair observations; Abomasnow: 39.8% wins in 103 recorded pair observations; Malamar: 47.4% wins in 95 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: Lopunny: 69.2% wins in 13 recorded pair observations; Froslass: 62.1% wins in 29 recorded pair observations; Greninja: 61.5% wins in 13 recorded pair observations. Returned lower-win-rate opponent group: Chandelure: 28.9% wins in 52 recorded pair observations; Dragonite: 34.5% wins in 29 recorded pair observations; Blastoise: 36.6% wins in 41 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
Garchomp164 recorded pair observations · 1.23 pair observations per 100 analyzed battles
48.8%
Abomasnow
Abomasnow103 recorded pair observations · 0.77 pair observations per 100 analyzed battles
39.8%
Malamar
Malamar95 recorded pair observations · 0.71 pair observations per 100 analyzed battles
47.4%
Clefable
Clefable89 recorded pair observations · 0.67 pair observations per 100 analyzed battles
53.9%
Gyarados
Gyarados84 recorded pair observations · 0.63 pair observations per 100 analyzed battles
51.2%
Aerodactyl
Aerodactyl79 recorded pair observations · 0.59 pair observations per 100 analyzed battles
50.6%
Tyranitar
Tyranitar73 recorded pair observations · 0.55 pair observations per 100 analyzed battles
45.2%
Charizard
Charizard61 recorded pair observations · 0.46 pair observations per 100 analyzed battles
44.3%
Venusaur
Venusaur57 recorded pair observations · 0.43 pair observations per 100 analyzed battles
54.4%
Eelektross
Eelektross56 recorded pair observations · 0.42 pair observations per 100 analyzed battles
32.1%
Sableye
Sableye56 recorded pair observations · 0.42 pair observations per 100 analyzed battles
48.2%
Chandelure
Chandelure55 recorded pair observations · 0.41 pair observations per 100 analyzed battles
56.4%
Scizor
Scizor55 recorded pair observations · 0.41 pair observations per 100 analyzed battles
60.0%
Metagross
Metagross53 recorded pair observations · 0.40 pair observations per 100 analyzed battles
34.0%
Audino
Audino51 recorded pair observations · 0.38 pair observations per 100 analyzed battles
33.3%
Excadrill
Excadrill51 recorded pair observations · 0.38 pair observations per 100 analyzed battles
43.1%
Salamence
Salamence46 recorded pair observations · 0.34 pair observations per 100 analyzed battles
54.4%
Staraptor
Staraptor43 recorded pair observations · 0.32 pair observations per 100 analyzed battles
41.9%
Altaria
Altaria42 recorded pair observations · 0.31 pair observations per 100 analyzed battles
42.9%
Dragonite
Dragonite42 recorded pair observations · 0.31 pair observations per 100 analyzed battles
50.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp188 recorded pair observations · 1.41 pair observations per 100 analyzed battles
44.1%
Clefable
Clefable154 recorded pair observations · 1.15 pair observations per 100 analyzed battles
46.1%
Sableye
Sableye118 recorded pair observations · 0.88 pair observations per 100 analyzed battles
56.8%
Scrafty
Scrafty112 recorded pair observations · 0.84 pair observations per 100 analyzed battles
39.3%
Tyranitar
Tyranitar107 recorded pair observations · 0.80 pair observations per 100 analyzed battles
47.7%
Excadrill
Excadrill90 recorded pair observations · 0.67 pair observations per 100 analyzed battles
47.8%
Staraptor
Staraptor79 recorded pair observations · 0.59 pair observations per 100 analyzed battles
50.6%
Raichu
Raichu77 recorded pair observations · 0.58 pair observations per 100 analyzed battles
53.2%
Aerodactyl
Aerodactyl76 recorded pair observations · 0.57 pair observations per 100 analyzed battles
54.0%
Venusaur
Venusaur76 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.0%
Charizard
Charizard71 recorded pair observations · 0.53 pair observations per 100 analyzed battles
46.5%
Kangaskhan
Kangaskhan69 recorded pair observations · 0.52 pair observations per 100 analyzed battles
42.0%
Floette-Eternal
Floette-Eternal66 recorded pair observations · 0.49 pair observations per 100 analyzed battles
42.4%
Golisopod
Golisopod64 recorded pair observations · 0.48 pair observations per 100 analyzed battles
48.4%
Meowstic
Meowstic64 recorded pair observations · 0.48 pair observations per 100 analyzed battles
51.6%
Glimmora
Glimmora56 recorded pair observations · 0.42 pair observations per 100 analyzed battles
37.5%
Gardevoir
Gardevoir55 recorded pair observations · 0.41 pair observations per 100 analyzed battles
45.5%
Chandelure
Chandelure52 recorded pair observations · 0.39 pair observations per 100 analyzed battles
28.9%
Salamence
Salamence51 recorded pair observations · 0.38 pair observations per 100 analyzed battles
49.0%
Gengar
Gengar49 recorded pair observations · 0.37 pair observations per 100 analyzed battles
46.9%

Higher Win-rate Partners

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

Froslass
Froslass30 recorded pair observations · 0.22 pair observations per 100 analyzed battles
63.3%
Scizor
Scizor55 recorded pair observations · 0.41 pair observations per 100 analyzed battles
60.0%
Scovillain
Scovillain15 recorded pair observations · 0.11 pair observations per 100 analyzed battles
60.0%
Drampa
Drampa22 recorded pair observations · 0.16 pair observations per 100 analyzed battles
59.1%
Gardevoir
Gardevoir26 recorded pair observations · 0.19 pair observations per 100 analyzed battles
57.7%
Chandelure
Chandelure55 recorded pair observations · 0.41 pair observations per 100 analyzed battles
56.4%
Feraligatr
Feraligatr25 recorded pair observations · 0.19 pair observations per 100 analyzed battles
56.0%
Golisopod
Golisopod27 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.6%
Manectric
Manectric18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.6%
Salamence
Salamence46 recorded pair observations · 0.34 pair observations per 100 analyzed battles
54.4%

Lower Win-rate Partners

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

Eelektross
Eelektross56 recorded pair observations · 0.42 pair observations per 100 analyzed battles
32.1%
Audino
Audino51 recorded pair observations · 0.38 pair observations per 100 analyzed battles
33.3%
Metagross
Metagross53 recorded pair observations · 0.40 pair observations per 100 analyzed battles
34.0%
Scolipede
Scolipede32 recorded pair observations · 0.24 pair observations per 100 analyzed battles
34.4%
Floette-Eternal
Floette-Eternal34 recorded pair observations · 0.25 pair observations per 100 analyzed battles
35.3%
Glalie
Glalie33 recorded pair observations · 0.25 pair observations per 100 analyzed battles
36.4%
Lucario
Lucario19 recorded pair observations · 0.14 pair observations per 100 analyzed battles
36.8%
Scrafty
Scrafty29 recorded pair observations · 0.22 pair observations per 100 analyzed battles
37.9%
Abomasnow
Abomasnow103 recorded pair observations · 0.77 pair observations per 100 analyzed battles
39.8%
Greninja
Greninja15 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.0%

Higher Win-rate Opponent Teams

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

Lopunny
Lopunny13 recorded pair observations · 0.10 pair observations per 100 analyzed battles
69.2%
Froslass
Froslass29 recorded pair observations · 0.22 pair observations per 100 analyzed battles
62.1%
Greninja
Greninja13 recorded pair observations · 0.10 pair observations per 100 analyzed battles
61.5%
Blaziken
Blaziken40 recorded pair observations · 0.30 pair observations per 100 analyzed battles
60.0%
Absol
Absol21 recorded pair observations · 0.16 pair observations per 100 analyzed battles
57.1%
Sableye
Sableye118 recorded pair observations · 0.88 pair observations per 100 analyzed battles
56.8%
Meganium
Meganium18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.6%
Camerupt
Camerupt22 recorded pair observations · 0.16 pair observations per 100 analyzed battles
54.5%
Aerodactyl
Aerodactyl76 recorded pair observations · 0.57 pair observations per 100 analyzed battles
54.0%
Malamar
Malamar15 recorded pair observations · 0.11 pair observations per 100 analyzed battles
53.3%

Lower Win-rate Opponent Teams

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

Chandelure
Chandelure52 recorded pair observations · 0.39 pair observations per 100 analyzed battles
28.9%
Dragonite
Dragonite29 recorded pair observations · 0.22 pair observations per 100 analyzed battles
34.5%
Blastoise
Blastoise41 recorded pair observations · 0.31 pair observations per 100 analyzed battles
36.6%
Hawlucha
Hawlucha30 recorded pair observations · 0.22 pair observations per 100 analyzed battles
36.7%
Scovillain
Scovillain30 recorded pair observations · 0.22 pair observations per 100 analyzed battles
36.7%
Glimmora
Glimmora56 recorded pair observations · 0.42 pair observations per 100 analyzed battles
37.5%
Scizor
Scizor47 recorded pair observations · 0.35 pair observations per 100 analyzed battles
38.3%
Skarmory
Skarmory18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
38.9%
Scrafty
Scrafty112 recorded pair observations · 0.84 pair observations per 100 analyzed battles
39.3%
Swampert
Swampert33 recorded pair observations · 0.25 pair observations per 100 analyzed battles
39.4%