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

Malamar

Tier E

Mega Evolution Battle (Pokemon Champions)

4.16%Usage Rate
48.74%Win Rate
51.44%Lead Rate
66.67%Selection Rate
1102Avg Rating

1110 recorded team appearances · 541 wins · 569 losses · 11/02/2026–11/14/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Superpower Recorded use in 445 of 1110 distinct recorded team appearances (40.1%) 243 winning team uses of 445 recorded team uses
54.6%
Trick Room Recorded use in 343 of 1110 distinct recorded team appearances (30.9%) 192 winning team uses of 343 recorded team uses
56.0%
Knock Off Recorded use in 229 of 1110 distinct recorded team appearances (20.6%) 119 winning team uses of 229 recorded team uses
52.0%
Protect Recorded use in 167 of 1110 distinct recorded team appearances (15.0%) 77 winning team uses of 167 recorded team uses
46.1%
Psycho Cut Recorded use in 45 of 1110 distinct recorded team appearances (4.1%) 24 winning team uses of 45 recorded team uses
53.3%
Skill Swap Recorded use in 36 of 1110 distinct recorded team appearances (3.2%) 14 winning team uses of 36 recorded team uses
38.9%
Hypnosis Recorded use in 26 of 1110 distinct recorded team appearances (2.3%) 9 winning team uses of 26 recorded team uses
34.6%
Throat Chop Recorded use in 17 of 1110 distinct recorded team appearances (1.5%) 11 winning team uses of 17 recorded team uses
64.7%
Rest Recorded use in 13 of 1110 distinct recorded team appearances (1.2%) 6 winning team uses of 13 recorded team uses
46.2%
Light Screen Recorded use in 12 of 1110 distinct recorded team appearances (1.1%) 6 winning team uses of 12 recorded team uses
50.0%

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 2.95 47.72 6672 197 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 5.25 47.14 6672 350 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 4.68 47.76 6672 312 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 3.76 52.99 6670 251 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 4.16 50.23 5124 213 Observed
~R1079 4.18 46.52 5508 230 Observed
~R1108 4.38 46.35 5318 233 Observed
~R1148 4.23 48.88 5268 223 Observed
R1148~ 3.86 52.13 5468 211 Observed

Malamar Observed Statistics

Performance Metrics

Malamar has a reported usage rate of 4.16% and win rate of 48.74% 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. 541 wins and 569 losses (1,110 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 2.95% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 3.76% 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 +0.81 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 47.72% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=197 recorded appearances) and 52.99% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=251 recorded appearances), a change of +5.27 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 3.86% (R1148~; n=5,468 team slots) to 4.38% (~R1108; n=5,318 team slots), a spread of 0.52 percentage points. Overall usage was 4.16%. 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, Superpower has the largest recorded team-use count (445; 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: Kangaskhan: 54.7% wins in 322 recorded pair observations; Chandelure: 50.2% wins in 311 recorded pair observations; Golisopod: 53.3% wins in 300 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: Alakazam: 77.3% wins in 22 recorded pair observations; Sceptile: 73.3% wins in 30 recorded pair observations; Banette: 64.7% wins in 17 recorded pair observations. Returned lower-win-rate opponent group: Steelix: 29.4% wins in 17 recorded pair observations; Chandelure: 40.6% wins in 123 recorded pair observations; Absol: 40.9% wins in 44 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%

Kangaskhan
Kangaskhan322 recorded pair observations · 2.41 pair observations per 100 analyzed battles
54.7%
Chandelure
Chandelure311 recorded pair observations · 2.33 pair observations per 100 analyzed battles
50.2%
Golisopod
Golisopod300 recorded pair observations · 2.25 pair observations per 100 analyzed battles
53.3%
Clefable
Clefable234 recorded pair observations · 1.75 pair observations per 100 analyzed battles
48.3%
Garchomp
Garchomp222 recorded pair observations · 1.66 pair observations per 100 analyzed battles
47.8%
Scrafty
Scrafty214 recorded pair observations · 1.60 pair observations per 100 analyzed battles
54.7%
Sableye
Sableye209 recorded pair observations · 1.57 pair observations per 100 analyzed battles
38.8%
Camerupt
Camerupt202 recorded pair observations · 1.51 pair observations per 100 analyzed battles
57.4%
Mawile
Mawile189 recorded pair observations · 1.42 pair observations per 100 analyzed battles
58.7%
Meowstic
Meowstic177 recorded pair observations · 1.33 pair observations per 100 analyzed battles
44.6%
Slowbro
Slowbro167 recorded pair observations · 1.25 pair observations per 100 analyzed battles
54.5%
Blastoise
Blastoise135 recorded pair observations · 1.01 pair observations per 100 analyzed battles
51.9%
Tyranitar
Tyranitar135 recorded pair observations · 1.01 pair observations per 100 analyzed battles
54.1%
Audino
Audino133 recorded pair observations · 1.00 pair observations per 100 analyzed battles
41.4%
Drampa
Drampa121 recorded pair observations · 0.91 pair observations per 100 analyzed battles
46.3%
Abomasnow
Abomasnow119 recorded pair observations · 0.89 pair observations per 100 analyzed battles
50.4%
Gardevoir
Gardevoir115 recorded pair observations · 0.86 pair observations per 100 analyzed battles
43.5%
Staraptor
Staraptor110 recorded pair observations · 0.82 pair observations per 100 analyzed battles
36.4%
Scizor
Scizor102 recorded pair observations · 0.76 pair observations per 100 analyzed battles
52.9%
Aerodactyl
Aerodactyl98 recorded pair observations · 0.73 pair observations per 100 analyzed battles
44.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp504 recorded pair observations · 3.78 pair observations per 100 analyzed battles
46.8%
Clefable
Clefable383 recorded pair observations · 2.87 pair observations per 100 analyzed battles
45.4%
Sableye
Sableye359 recorded pair observations · 2.69 pair observations per 100 analyzed battles
50.4%
Scrafty
Scrafty302 recorded pair observations · 2.26 pair observations per 100 analyzed battles
43.7%
Tyranitar
Tyranitar247 recorded pair observations · 1.85 pair observations per 100 analyzed battles
48.6%
Venusaur
Venusaur221 recorded pair observations · 1.66 pair observations per 100 analyzed battles
49.3%
Excadrill
Excadrill212 recorded pair observations · 1.59 pair observations per 100 analyzed battles
50.5%
Aerodactyl
Aerodactyl211 recorded pair observations · 1.58 pair observations per 100 analyzed battles
53.5%
Charizard
Charizard206 recorded pair observations · 1.54 pair observations per 100 analyzed battles
46.6%
Raichu
Raichu206 recorded pair observations · 1.54 pair observations per 100 analyzed battles
51.9%
Floette-Eternal
Floette-Eternal189 recorded pair observations · 1.42 pair observations per 100 analyzed battles
45.5%
Staraptor
Staraptor184 recorded pair observations · 1.38 pair observations per 100 analyzed battles
43.5%
Kangaskhan
Kangaskhan172 recorded pair observations · 1.29 pair observations per 100 analyzed battles
41.3%
Meowstic
Meowstic158 recorded pair observations · 1.18 pair observations per 100 analyzed battles
55.1%
Golisopod
Golisopod156 recorded pair observations · 1.17 pair observations per 100 analyzed battles
41.7%
Glimmora
Glimmora150 recorded pair observations · 1.12 pair observations per 100 analyzed battles
44.7%
Metagross
Metagross148 recorded pair observations · 1.11 pair observations per 100 analyzed battles
50.0%
Gengar
Gengar142 recorded pair observations · 1.06 pair observations per 100 analyzed battles
48.6%
Gardevoir
Gardevoir141 recorded pair observations · 1.06 pair observations per 100 analyzed battles
46.8%
Gyarados
Gyarados141 recorded pair observations · 1.06 pair observations per 100 analyzed battles
51.1%

Higher Win-rate Partners

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

Charizard
Charizard71 recorded pair observations · 0.53 pair observations per 100 analyzed battles
64.8%
Steelix
Steelix25 recorded pair observations · 0.19 pair observations per 100 analyzed battles
64.0%
Alakazam
Alakazam19 recorded pair observations · 0.14 pair observations per 100 analyzed battles
63.2%
Gyarados
Gyarados61 recorded pair observations · 0.46 pair observations per 100 analyzed battles
62.3%
Hawlucha
Hawlucha53 recorded pair observations · 0.40 pair observations per 100 analyzed battles
60.4%
Salamence
Salamence61 recorded pair observations · 0.46 pair observations per 100 analyzed battles
59.0%
Mawile
Mawile189 recorded pair observations · 1.42 pair observations per 100 analyzed battles
58.7%
Camerupt
Camerupt202 recorded pair observations · 1.51 pair observations per 100 analyzed battles
57.4%
Meowstic-F
Meowstic-F18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.6%
Metagross
Metagross54 recorded pair observations · 0.40 pair observations per 100 analyzed battles
55.6%

Lower Win-rate Partners

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

Starmie
Starmie13 recorded pair observations · 0.10 pair observations per 100 analyzed battles
23.1%
Ampharos
Ampharos14 recorded pair observations · 0.10 pair observations per 100 analyzed battles
28.6%
Chesnaught
Chesnaught33 recorded pair observations · 0.25 pair observations per 100 analyzed battles
30.3%
Baxcalibur
Baxcalibur35 recorded pair observations · 0.26 pair observations per 100 analyzed battles
31.4%
Delphox
Delphox22 recorded pair observations · 0.16 pair observations per 100 analyzed battles
31.8%
Scolipede
Scolipede50 recorded pair observations · 0.37 pair observations per 100 analyzed battles
32.0%
Eelektross
Eelektross82 recorded pair observations · 0.61 pair observations per 100 analyzed battles
34.1%
Skarmory
Skarmory50 recorded pair observations · 0.37 pair observations per 100 analyzed battles
36.0%
Staraptor
Staraptor110 recorded pair observations · 0.82 pair observations per 100 analyzed battles
36.4%
Altaria
Altaria42 recorded pair observations · 0.31 pair observations per 100 analyzed battles
38.1%

Higher Win-rate Opponent Teams

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

Alakazam
Alakazam22 recorded pair observations · 0.16 pair observations per 100 analyzed battles
77.3%
Sceptile
Sceptile30 recorded pair observations · 0.22 pair observations per 100 analyzed battles
73.3%
Banette
Banette17 recorded pair observations · 0.13 pair observations per 100 analyzed battles
64.7%
Starmie
Starmie19 recorded pair observations · 0.14 pair observations per 100 analyzed battles
63.2%
Lucario
Lucario51 recorded pair observations · 0.38 pair observations per 100 analyzed battles
62.8%
Aggron
Aggron13 recorded pair observations · 0.10 pair observations per 100 analyzed battles
61.5%
Froslass
Froslass67 recorded pair observations · 0.50 pair observations per 100 analyzed battles
61.2%
Feraligatr
Feraligatr18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
61.1%
Manectric
Manectric19 recorded pair observations · 0.14 pair observations per 100 analyzed battles
57.9%
Blaziken
Blaziken109 recorded pair observations · 0.82 pair observations per 100 analyzed battles
56.9%

Lower Win-rate Opponent Teams

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

Steelix
Steelix17 recorded pair observations · 0.13 pair observations per 100 analyzed battles
29.4%
Chandelure
Chandelure123 recorded pair observations · 0.92 pair observations per 100 analyzed battles
40.6%
Absol
Absol44 recorded pair observations · 0.33 pair observations per 100 analyzed battles
40.9%
Kangaskhan
Kangaskhan172 recorded pair observations · 1.29 pair observations per 100 analyzed battles
41.3%
Drampa
Drampa48 recorded pair observations · 0.36 pair observations per 100 analyzed battles
41.7%
Golisopod
Golisopod156 recorded pair observations · 1.17 pair observations per 100 analyzed battles
41.7%
Dragalge
Dragalge14 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.9%
Meowstic-F
Meowstic-F14 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.9%
Camerupt
Camerupt53 recorded pair observations · 0.40 pair observations per 100 analyzed battles
43.4%
Staraptor
Staraptor184 recorded pair observations · 1.38 pair observations per 100 analyzed battles
43.5%