Last Updated: 10/09/2026 11:14 [UTC]

Malamar

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.01%Usage Rate
42.04%Win Rate
59.50%Lead Rate
76.80%Selection Rate
1173Avg Rating

6555 recorded team appearances · 2756 wins · 3799 losses · 09/25/2026–10/09/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Superpower Recorded use in 2320 of 6556 distinct recorded team appearances (35.4%) 1116 winning team uses of 2320 recorded team uses
48.1%
Skill Swap Recorded use in 1363 of 6556 distinct recorded team appearances (20.8%) 498 winning team uses of 1363 recorded team uses
36.5%
Protect Recorded use in 1121 of 6556 distinct recorded team appearances (17.1%) 476 winning team uses of 1121 recorded team uses
42.5%
Knock Off Recorded use in 972 of 6556 distinct recorded team appearances (14.8%) 475 winning team uses of 972 recorded team uses
48.9%
Trick Room Recorded use in 712 of 6556 distinct recorded team appearances (10.9%) 336 winning team uses of 712 recorded team uses
47.2%
Throat Chop Recorded use in 287 of 6556 distinct recorded team appearances (4.4%) 156 winning team uses of 287 recorded team uses
54.4%
Topsy-Turvy Recorded use in 285 of 6556 distinct recorded team appearances (4.3%) 131 winning team uses of 285 recorded team uses
46.0%
Psycho Cut Recorded use in 259 of 6556 distinct recorded team appearances (4.0%) 134 winning team uses of 259 recorded team uses
51.7%
Stored Power Recorded use in 103 of 6556 distinct recorded team appearances (1.6%) 64 winning team uses of 103 recorded team uses
62.1%
Foul Play Recorded use in 86 of 6556 distinct recorded team appearances (1.3%) 45 winning team uses of 86 recorded team uses
52.3%

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: 2026/09/25 20:04–2026/09/29 12:10 JST 1.09 43.06 162494 1765 Observed
Period 2: 2026/09/29 12:10–2026/10/03 00:28 JST 0.85 43.81 162494 1374 Observed
Period 3: 2026/10/03 00:28–2026/10/06 09:49 JST 1.24 41.37 162492 2016 Observed
Period 4: 2026/10/06 09:49–2026/10/09 20:01 JST 0.86 40.00 162492 1400 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1125 2.01 40.29 129594 2606 Observed
~R1194 1.26 41.35 128072 1618 Observed
~R1278 0.82 44.19 130482 1068 Observed
~R1368 0.57 44.56 130008 745 Observed
R1368~ 0.39 44.98 131816 518 Observed

Malamar Observed Statistics

Performance Metrics

Malamar has a reported usage rate of 1.01% and win rate of 42.04% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 09/25/2026 to 10/09/2026, with 324,986 recorded battles. 2,756 wins and 3,799 losses (6,555 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 1.09% in the first available period (Period 1: 2026/09/25 20:04–2026/09/29 12:10 JST; n=162,494 team slots) and 0.86% in the last available period (Period 4: 2026/10/06 09:49–2026/10/09 20:01 JST; n=162,492 team slots), a change of -0.23 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 43.06% in the first available period (Period 1: 2026/09/25 20:04–2026/09/29 12:10 JST; n=1,765 recorded appearances) and 40.00% in the last available period (Period 4: 2026/10/06 09:49–2026/10/09 20:01 JST; n=1,400 recorded appearances), a change of -3.06 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 0.39% (R1368~; n=131,816 team slots) to 2.01% (~R1125; n=129,594 team slots), a spread of 1.62 percentage points. Overall usage was 1.01%. 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 (2,320; 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: 41.0% wins in 2,171 recorded pair observations; Sinistcha: 40.8% wins in 1,904 recorded pair observations; Incineroar: 40.4% wins in 1,543 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: Excadrill: 48.7% wins in 419 recorded pair observations; Sinistcha: 47.6% wins in 672 recorded pair observations; Indeedee: 45.9% wins in 551 recorded pair observations. Returned lower-win-rate opponent group: Floette-Eternal: 35.3% wins in 385 recorded pair observations; Sylveon: 35.8% wins in 450 recorded pair observations; Volcarona: 36.9% wins in 743 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
Garchomp2171 recorded pair observations · 0.67 pair observations per 100 analyzed battles
41.0%
Sinistcha
Sinistcha1904 recorded pair observations · 0.59 pair observations per 100 analyzed battles
40.8%
Incineroar
Incineroar1543 recorded pair observations · 0.47 pair observations per 100 analyzed battles
40.4%
Indeedee-F
Indeedee-F1379 recorded pair observations · 0.42 pair observations per 100 analyzed battles
40.5%
Sneasler
Sneasler1177 recorded pair observations · 0.36 pair observations per 100 analyzed battles
41.9%
Grapploct
Grapploct1144 recorded pair observations · 0.35 pair observations per 100 analyzed battles
38.1%
Whimsicott
Whimsicott1128 recorded pair observations · 0.35 pair observations per 100 analyzed battles
44.8%
Rillaboom
Rillaboom1062 recorded pair observations · 0.33 pair observations per 100 analyzed battles
39.2%
Gholdengo
Gholdengo931 recorded pair observations · 0.29 pair observations per 100 analyzed battles
41.7%
Grimmsnarl
Grimmsnarl849 recorded pair observations · 0.26 pair observations per 100 analyzed battles
41.1%
Volcarona
Volcarona619 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.2%
Staraptor
Staraptor580 recorded pair observations · 0.18 pair observations per 100 analyzed battles
40.0%
Farigiraf
Farigiraf545 recorded pair observations · 0.17 pair observations per 100 analyzed battles
45.0%
Armarouge
Armarouge506 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.6%
Basculegion
Basculegion457 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.6%
Arcanine-Hisui
Arcanine-Hisui438 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.2%
Golisopod
Golisopod432 recorded pair observations · 0.13 pair observations per 100 analyzed battles
41.0%
Torkoal
Torkoal430 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.4%
Charizard
Charizard425 recorded pair observations · 0.13 pair observations per 100 analyzed battles
42.1%
Milotic
Milotic403 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2235 recorded pair observations · 0.69 pair observations per 100 analyzed battles
40.4%
Sneasler
Sneasler2006 recorded pair observations · 0.62 pair observations per 100 analyzed battles
42.2%
Incineroar
Incineroar1845 recorded pair observations · 0.57 pair observations per 100 analyzed battles
41.7%
Garchomp
Garchomp1446 recorded pair observations · 0.44 pair observations per 100 analyzed battles
40.4%
Indeedee-F
Indeedee-F1333 recorded pair observations · 0.41 pair observations per 100 analyzed battles
41.0%
Kingambit
Kingambit1087 recorded pair observations · 0.33 pair observations per 100 analyzed battles
38.5%
Raichu
Raichu1065 recorded pair observations · 0.33 pair observations per 100 analyzed battles
41.7%
Gholdengo
Gholdengo1027 recorded pair observations · 0.32 pair observations per 100 analyzed battles
39.2%
Farigiraf
Farigiraf1014 recorded pair observations · 0.31 pair observations per 100 analyzed battles
42.5%
Salamence
Salamence1006 recorded pair observations · 0.31 pair observations per 100 analyzed battles
42.1%
Archaludon
Archaludon882 recorded pair observations · 0.27 pair observations per 100 analyzed battles
43.2%
Golisopod
Golisopod833 recorded pair observations · 0.26 pair observations per 100 analyzed battles
40.2%
Pelipper
Pelipper823 recorded pair observations · 0.25 pair observations per 100 analyzed battles
43.1%
Basculegion
Basculegion797 recorded pair observations · 0.25 pair observations per 100 analyzed battles
40.4%
Milotic
Milotic750 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.9%
Whimsicott
Whimsicott744 recorded pair observations · 0.23 pair observations per 100 analyzed battles
41.1%
Volcarona
Volcarona743 recorded pair observations · 0.23 pair observations per 100 analyzed battles
36.9%
Charizard
Charizard741 recorded pair observations · 0.23 pair observations per 100 analyzed battles
40.5%
Sinistcha
Sinistcha672 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.6%
Tyranitar
Tyranitar601 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.9%

Higher Win-rate Partners

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

Milotic
Milotic403 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.6%
Metagross
Metagross349 recorded pair observations · 0.11 pair observations per 100 analyzed battles
46.7%
Armarouge
Armarouge506 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.6%
Raichu
Raichu315 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.4%
Torkoal
Torkoal430 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.4%
Arcanine-Hisui
Arcanine-Hisui438 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.2%
Volcarona
Volcarona619 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.2%
Farigiraf
Farigiraf545 recorded pair observations · 0.17 pair observations per 100 analyzed battles
45.0%
Whimsicott
Whimsicott1128 recorded pair observations · 0.35 pair observations per 100 analyzed battles
44.8%
Basculegion
Basculegion457 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.6%

Lower Win-rate Partners

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

Clefable
Clefable332 recorded pair observations · 0.10 pair observations per 100 analyzed battles
34.3%
Grapploct
Grapploct1144 recorded pair observations · 0.35 pair observations per 100 analyzed battles
38.1%
Kingambit
Kingambit327 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.8%
Rillaboom
Rillaboom1062 recorded pair observations · 0.33 pair observations per 100 analyzed battles
39.2%
Staraptor
Staraptor580 recorded pair observations · 0.18 pair observations per 100 analyzed battles
40.0%
Incineroar
Incineroar1543 recorded pair observations · 0.47 pair observations per 100 analyzed battles
40.4%
Indeedee-F
Indeedee-F1379 recorded pair observations · 0.42 pair observations per 100 analyzed battles
40.5%
Sinistcha
Sinistcha1904 recorded pair observations · 0.59 pair observations per 100 analyzed battles
40.8%
Garchomp
Garchomp2171 recorded pair observations · 0.67 pair observations per 100 analyzed battles
41.0%
Golisopod
Golisopod432 recorded pair observations · 0.13 pair observations per 100 analyzed battles
41.0%

Higher Win-rate Opponent Teams

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

Excadrill
Excadrill419 recorded pair observations · 0.13 pair observations per 100 analyzed battles
48.7%
Sinistcha
Sinistcha672 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.6%
Indeedee
Indeedee551 recorded pair observations · 0.17 pair observations per 100 analyzed battles
45.9%
Tyranitar
Tyranitar601 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.9%
Milotic
Milotic750 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.9%
Metagross
Metagross438 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.6%
Gengar
Gengar342 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.3%
Archaludon
Archaludon882 recorded pair observations · 0.27 pair observations per 100 analyzed battles
43.2%
Pelipper
Pelipper823 recorded pair observations · 0.25 pair observations per 100 analyzed battles
43.1%
Farigiraf
Farigiraf1014 recorded pair observations · 0.31 pair observations per 100 analyzed battles
42.5%

Lower Win-rate Opponent Teams

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

Floette-Eternal
Floette-Eternal385 recorded pair observations · 0.12 pair observations per 100 analyzed battles
35.3%
Sylveon
Sylveon450 recorded pair observations · 0.14 pair observations per 100 analyzed battles
35.8%
Volcarona
Volcarona743 recorded pair observations · 0.23 pair observations per 100 analyzed battles
36.9%
Kingambit
Kingambit1087 recorded pair observations · 0.33 pair observations per 100 analyzed battles
38.5%
Gholdengo
Gholdengo1027 recorded pair observations · 0.32 pair observations per 100 analyzed battles
39.2%
Gardevoir
Gardevoir484 recorded pair observations · 0.15 pair observations per 100 analyzed battles
39.9%
Golisopod
Golisopod833 recorded pair observations · 0.26 pair observations per 100 analyzed battles
40.2%
Basculegion
Basculegion797 recorded pair observations · 0.25 pair observations per 100 analyzed battles
40.4%
Garchomp
Garchomp1446 recorded pair observations · 0.44 pair observations per 100 analyzed battles
40.4%
Rillaboom
Rillaboom2235 recorded pair observations · 0.69 pair observations per 100 analyzed battles
40.4%