Last Updated: 10/22/2026 11:16 [UTC]

Kangaskhan

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.07%Usage Rate
47.15%Win Rate
51.30%Lead Rate
61.26%Selection Rate
1243Avg Rating

7094 recorded team appearances · 3345 wins · 3749 losses · 10/08/2026–10/22/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Fake Out Recorded use in 2918 of 7094 distinct recorded team appearances (41.1%) 1462 winning team uses of 2918 recorded team uses
50.1%
Double-Edge Recorded use in 1874 of 7094 distinct recorded team appearances (26.4%) 966 winning team uses of 1874 recorded team uses
51.5%
Hammer Arm Recorded use in 743 of 7094 distinct recorded team appearances (10.5%) 362 winning team uses of 743 recorded team uses
48.7%
Last Resort Recorded use in 716 of 7094 distinct recorded team appearances (10.1%) 375 winning team uses of 716 recorded team uses
52.4%
Crunch Recorded use in 365 of 7094 distinct recorded team appearances (5.1%) 213 winning team uses of 365 recorded team uses
58.4%
Drain Punch Recorded use in 305 of 7094 distinct recorded team appearances (4.3%) 134 winning team uses of 305 recorded team uses
43.9%
Sucker Punch Recorded use in 296 of 7094 distinct recorded team appearances (4.2%) 141 winning team uses of 296 recorded team uses
47.6%
Ice Punch Recorded use in 243 of 7094 distinct recorded team appearances (3.4%) 128 winning team uses of 243 recorded team uses
52.7%
Protect Recorded use in 189 of 7094 distinct recorded team appearances (2.7%) 63 winning team uses of 189 recorded team uses
33.3%
Rock Slide Recorded use in 61 of 7094 distinct recorded team appearances (0.9%) 24 winning team uses of 61 recorded team uses
39.3%

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: 2026/10/08 11:01–2026/10/11 21:40 UTC 1.14 46.59 165498 1893 Observed
Period 2: 2026/10/11 21:40–2026/10/15 11:06 UTC 1.11 49.32 165496 1843 Observed
Period 3: 2026/10/15 11:06–2026/10/18 21:23 UTC 0.99 46.08 165496 1632 Observed
Period 4: 2026/10/18 21:23–2026/10/22 10:59 UTC 1.04 46.47 165496 1726 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1136 1.45 45.68 131134 1898 Observed
~R1215 1.20 47.12 133014 1600 Observed
~R1308 1.01 48.08 131224 1329 Observed
~R1410 0.94 47.89 133370 1255 Observed
R1410~ 0.76 47.83 133244 1012 Observed

Kangaskhan Observed Statistics

Performance Metrics

Kangaskhan has a reported usage rate of 1.07% and win rate of 47.15% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/08/2026 to 10/22/2026 (UTC), with 330,993 recorded battles. 3,345 wins and 3,749 losses (7,094 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 1.14% in the first available period (Period 1: 2026/10/08 11:01–2026/10/11 21:40 UTC; n=165,498 team slots) and 1.04% in the last available period (Period 4: 2026/10/18 21:23–2026/10/22 10:59 UTC; n=165,496 team slots), a change of -0.10 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 46.59% in the first available period (Period 1: 2026/10/08 11:01–2026/10/11 21:40 UTC; n=1,893 recorded appearances) and 46.47% in the last available period (Period 4: 2026/10/18 21:23–2026/10/22 10:59 UTC; n=1,726 recorded appearances), a change of -0.12 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 0.76% (R1410~; n=133,244 team slots) to 1.45% (~R1136; n=131,134 team slots), a spread of 0.69 percentage points. Overall usage was 1.07%. 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 (2,918; 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: Farigiraf: 48.9% wins in 3,895 recorded pair observations; Mawile: 50.5% wins in 1,903 recorded pair observations; Grapploct: 50.5% wins in 1,807 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: Gengar: 52.7% wins in 347 recorded pair observations; Metagross: 50.1% wins in 339 recorded pair observations; Whimsicott: 49.8% wins in 828 recorded pair observations. Returned lower-win-rate opponent group: Sylveon: 41.5% wins in 566 recorded pair observations; Venusaur: 41.5% wins in 468 recorded pair observations; Golisopod: 42.1% wins in 992 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%

Farigiraf
Farigiraf3895 recorded pair observations · 1.18 pair observations per 100 analyzed battles
48.9%
Mawile
Mawile1903 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.5%
Grapploct
Grapploct1807 recorded pair observations · 0.55 pair observations per 100 analyzed battles
50.5%
Pelipper
Pelipper1614 recorded pair observations · 0.49 pair observations per 100 analyzed battles
50.7%
Archaludon
Archaludon1593 recorded pair observations · 0.48 pair observations per 100 analyzed battles
50.9%
Torkoal
Torkoal1243 recorded pair observations · 0.38 pair observations per 100 analyzed battles
49.9%
Camerupt
Camerupt1211 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.9%
Rillaboom
Rillaboom1175 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.1%
Sylveon
Sylveon1122 recorded pair observations · 0.34 pair observations per 100 analyzed battles
49.0%
Kingambit
Kingambit1072 recorded pair observations · 0.32 pair observations per 100 analyzed battles
53.2%
Sneasler
Sneasler607 recorded pair observations · 0.18 pair observations per 100 analyzed battles
42.2%
Basculegion
Basculegion605 recorded pair observations · 0.18 pair observations per 100 analyzed battles
51.7%
Incineroar
Incineroar596 recorded pair observations · 0.18 pair observations per 100 analyzed battles
39.4%
Whimsicott
Whimsicott562 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.0%
Gholdengo
Gholdengo556 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.8%
Chandelure
Chandelure538 recorded pair observations · 0.16 pair observations per 100 analyzed battles
56.0%
Maushold
Maushold457 recorded pair observations · 0.14 pair observations per 100 analyzed battles
39.4%
Garchomp
Garchomp455 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.4%
Indeedee-F
Indeedee-F455 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.6%
Kommo-o
Kommo-o423 recorded pair observations · 0.13 pair observations per 100 analyzed battles
58.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2265 recorded pair observations · 0.68 pair observations per 100 analyzed battles
48.7%
Sneasler
Sneasler2080 recorded pair observations · 0.63 pair observations per 100 analyzed battles
47.9%
Incineroar
Incineroar1986 recorded pair observations · 0.60 pair observations per 100 analyzed battles
46.0%
Garchomp
Garchomp1867 recorded pair observations · 0.56 pair observations per 100 analyzed battles
46.5%
Indeedee-F
Indeedee-F1314 recorded pair observations · 0.40 pair observations per 100 analyzed battles
43.8%
Archaludon
Archaludon1250 recorded pair observations · 0.38 pair observations per 100 analyzed battles
42.8%
Kingambit
Kingambit1196 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.6%
Farigiraf
Farigiraf1182 recorded pair observations · 0.36 pair observations per 100 analyzed battles
44.2%
Charizard
Charizard1161 recorded pair observations · 0.35 pair observations per 100 analyzed battles
43.8%
Raichu
Raichu1149 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.9%
Pelipper
Pelipper1065 recorded pair observations · 0.32 pair observations per 100 analyzed battles
44.8%
Golisopod
Golisopod992 recorded pair observations · 0.30 pair observations per 100 analyzed battles
42.1%
Gholdengo
Gholdengo985 recorded pair observations · 0.30 pair observations per 100 analyzed battles
47.7%
Salamence
Salamence868 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.8%
Whimsicott
Whimsicott828 recorded pair observations · 0.25 pair observations per 100 analyzed battles
49.8%
Basculegion
Basculegion809 recorded pair observations · 0.24 pair observations per 100 analyzed battles
46.4%
Volcarona
Volcarona701 recorded pair observations · 0.21 pair observations per 100 analyzed battles
46.8%
Sinistcha
Sinistcha695 recorded pair observations · 0.21 pair observations per 100 analyzed battles
48.1%
Tyranitar
Tyranitar660 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.7%
Milotic
Milotic651 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.2%

Higher Win-rate Partners

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

Kommo-o
Kommo-o423 recorded pair observations · 0.13 pair observations per 100 analyzed battles
58.6%
Chandelure
Chandelure538 recorded pair observations · 0.16 pair observations per 100 analyzed battles
56.0%
Kingambit
Kingambit1072 recorded pair observations · 0.32 pair observations per 100 analyzed battles
53.2%
Basculegion
Basculegion605 recorded pair observations · 0.18 pair observations per 100 analyzed battles
51.7%
Garchomp
Garchomp455 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.4%
Staraptor
Staraptor406 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.2%
Archaludon
Archaludon1593 recorded pair observations · 0.48 pair observations per 100 analyzed battles
50.9%
Pelipper
Pelipper1614 recorded pair observations · 0.49 pair observations per 100 analyzed battles
50.7%
Grapploct
Grapploct1807 recorded pair observations · 0.55 pair observations per 100 analyzed battles
50.5%
Mawile
Mawile1903 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.5%

Lower Win-rate Partners

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

Mamoswine
Mamoswine329 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.9%
Abomasnow
Abomasnow348 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.1%
Incineroar
Incineroar596 recorded pair observations · 0.18 pair observations per 100 analyzed battles
39.4%
Maushold
Maushold457 recorded pair observations · 0.14 pair observations per 100 analyzed battles
39.4%
Sneasler
Sneasler607 recorded pair observations · 0.18 pair observations per 100 analyzed battles
42.2%
Indeedee-F
Indeedee-F455 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.6%
Sinistcha
Sinistcha357 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.0%
Whimsicott
Whimsicott562 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.0%
Gholdengo
Gholdengo556 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.8%
Camerupt
Camerupt1211 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.9%

Higher Win-rate Opponent Teams

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

Gengar
Gengar347 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.7%
Metagross
Metagross339 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.1%
Whimsicott
Whimsicott828 recorded pair observations · 0.25 pair observations per 100 analyzed battles
49.8%
Froslass
Froslass325 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.5%
Raichu
Raichu1149 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.9%
Rillaboom
Rillaboom2265 recorded pair observations · 0.68 pair observations per 100 analyzed battles
48.7%
Excadrill
Excadrill484 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.1%
Primarina
Primarina320 recorded pair observations · 0.10 pair observations per 100 analyzed battles
48.1%
Sinistcha
Sinistcha695 recorded pair observations · 0.21 pair observations per 100 analyzed battles
48.1%
Sneasler
Sneasler2080 recorded pair observations · 0.63 pair observations per 100 analyzed battles
47.9%

Lower Win-rate Opponent Teams

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

Sylveon
Sylveon566 recorded pair observations · 0.17 pair observations per 100 analyzed battles
41.5%
Venusaur
Venusaur468 recorded pair observations · 0.14 pair observations per 100 analyzed battles
41.5%
Golisopod
Golisopod992 recorded pair observations · 0.30 pair observations per 100 analyzed battles
42.1%
Grimmsnarl
Grimmsnarl510 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.2%
Gardevoir
Gardevoir458 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.6%
Archaludon
Archaludon1250 recorded pair observations · 0.38 pair observations per 100 analyzed battles
42.8%
Glimmora
Glimmora329 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.9%
Torkoal
Torkoal430 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.0%
Charizard
Charizard1161 recorded pair observations · 0.35 pair observations per 100 analyzed battles
43.8%
Indeedee-F
Indeedee-F1314 recorded pair observations · 0.40 pair observations per 100 analyzed battles
43.8%