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

Kangaskhan

Tier B

Mega Evolution Battle (Pokemon Champions)

16.78%Usage Rate
54.34%Win Rate
56.98%Lead Rate
73.93%Selection Rate
1123Avg Rating

4477 recorded team appearances · 2433 wins · 2044 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 2883 of 4477 distinct recorded team appearances (64.4%) 1595 winning team uses of 2883 recorded team uses
55.3%
Last Resort Recorded use in 1291 of 4477 distinct recorded team appearances (28.8%) 755 winning team uses of 1291 recorded team uses
58.5%
Double-Edge Recorded use in 743 of 4477 distinct recorded team appearances (16.6%) 432 winning team uses of 743 recorded team uses
58.1%
Sucker Punch Recorded use in 343 of 4477 distinct recorded team appearances (7.7%) 179 winning team uses of 343 recorded team uses
52.2%
Drain Punch Recorded use in 169 of 4477 distinct recorded team appearances (3.8%) 94 winning team uses of 169 recorded team uses
55.6%
Ice Punch Recorded use in 134 of 4477 distinct recorded team appearances (3.0%) 89 winning team uses of 134 recorded team uses
66.4%
Protect Recorded use in 89 of 4477 distinct recorded team appearances (2.0%) 35 winning team uses of 89 recorded team uses
39.3%
Hammer Arm Recorded use in 73 of 4477 distinct recorded team appearances (1.6%) 43 winning team uses of 73 recorded team uses
58.9%
Brick Break Recorded use in 46 of 4477 distinct recorded team appearances (1.0%) 28 winning team uses of 46 recorded team uses
60.9%
Struggle Recorded use in 43 of 4477 distinct recorded team appearances (1.0%) 12 winning team uses of 43 recorded team uses
27.9%

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 15.32 51.66 6672 1022 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 17.69 54.58 6672 1180 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 16.13 57.81 6672 1076 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 17.98 53.29 6670 1199 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 14.66 53.26 5124 751 Observed
~R1079 15.01 54.29 5508 827 Observed
~R1108 14.31 51.25 5318 761 Observed
~R1148 16.59 53.32 5268 874 Observed
R1148~ 23.12 57.59 5468 1264 Observed

Kangaskhan Observed Statistics

Performance Metrics

Kangaskhan has a reported usage rate of 16.78% and win rate of 54.34% in Mega Evolution Battle (Pokemon Champions) (displayed tier: B). The report covers 11/02/2026 to 11/14/2026 (UTC), with 13,343 recorded battles. 2,433 wins and 2,044 losses (4,477 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 15.32% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 17.98% 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 +2.66 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 51.66% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=1,022 recorded appearances) and 53.29% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=1,199 recorded appearances), a change of +1.63 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 14.31% (~R1108; n=5,318 team slots) to 23.12% (R1148~; n=5,468 team slots), a spread of 8.81 percentage points. Overall usage was 16.78%. 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 (2,883; 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: 57.5% wins in 1,948 recorded pair observations; Clefable: 52.2% wins in 1,248 recorded pair observations; Sableye: 48.2% wins in 909 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: Eelektross: 67.2% wins in 119 recorded pair observations; Lucario: 65.8% wins in 161 recorded pair observations; Manectric: 65.3% wins in 75 recorded pair observations. Returned lower-win-rate opponent group: Steelix: 46.1% wins in 65 recorded pair observations; Golisopod: 47.5% wins in 511 recorded pair observations; Abomasnow: 48.8% wins in 82 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
Garchomp1948 recorded pair observations · 14.60 pair observations per 100 analyzed battles
57.5%
Clefable
Clefable1248 recorded pair observations · 9.35 pair observations per 100 analyzed battles
52.2%
Sableye
Sableye909 recorded pair observations · 6.81 pair observations per 100 analyzed battles
48.2%
Scrafty
Scrafty847 recorded pair observations · 6.35 pair observations per 100 analyzed battles
57.5%
Gyarados
Gyarados767 recorded pair observations · 5.75 pair observations per 100 analyzed battles
61.0%
Floette-Eternal
Floette-Eternal738 recorded pair observations · 5.53 pair observations per 100 analyzed battles
62.9%
Chandelure
Chandelure734 recorded pair observations · 5.50 pair observations per 100 analyzed battles
57.4%
Delphox
Delphox704 recorded pair observations · 5.28 pair observations per 100 analyzed battles
59.2%
Staraptor
Staraptor697 recorded pair observations · 5.22 pair observations per 100 analyzed battles
51.9%
Salamence
Salamence694 recorded pair observations · 5.20 pair observations per 100 analyzed battles
57.9%
Golisopod
Golisopod684 recorded pair observations · 5.13 pair observations per 100 analyzed battles
62.9%
Gengar
Gengar683 recorded pair observations · 5.12 pair observations per 100 analyzed battles
56.7%
Tyranitar
Tyranitar632 recorded pair observations · 4.74 pair observations per 100 analyzed battles
52.2%
Scizor
Scizor614 recorded pair observations · 4.60 pair observations per 100 analyzed battles
57.6%
Aerodactyl
Aerodactyl569 recorded pair observations · 4.26 pair observations per 100 analyzed battles
48.9%
Excadrill
Excadrill521 recorded pair observations · 3.90 pair observations per 100 analyzed battles
53.0%
Blastoise
Blastoise520 recorded pair observations · 3.90 pair observations per 100 analyzed battles
58.5%
Metagross
Metagross515 recorded pair observations · 3.86 pair observations per 100 analyzed battles
56.1%
Camerupt
Camerupt501 recorded pair observations · 3.75 pair observations per 100 analyzed battles
59.3%
Gardevoir
Gardevoir490 recorded pair observations · 3.67 pair observations per 100 analyzed battles
56.1%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp2006 recorded pair observations · 15.03 pair observations per 100 analyzed battles
52.6%
Clefable
Clefable1608 recorded pair observations · 12.05 pair observations per 100 analyzed battles
53.6%
Sableye
Sableye1363 recorded pair observations · 10.22 pair observations per 100 analyzed battles
53.6%
Scrafty
Scrafty1269 recorded pair observations · 9.51 pair observations per 100 analyzed battles
52.1%
Tyranitar
Tyranitar1071 recorded pair observations · 8.03 pair observations per 100 analyzed battles
52.4%
Excadrill
Excadrill925 recorded pair observations · 6.93 pair observations per 100 analyzed battles
51.7%
Raichu
Raichu904 recorded pair observations · 6.78 pair observations per 100 analyzed battles
59.3%
Aerodactyl
Aerodactyl856 recorded pair observations · 6.42 pair observations per 100 analyzed battles
55.8%
Staraptor
Staraptor843 recorded pair observations · 6.32 pair observations per 100 analyzed battles
54.0%
Charizard
Charizard784 recorded pair observations · 5.88 pair observations per 100 analyzed battles
53.1%
Venusaur
Venusaur772 recorded pair observations · 5.79 pair observations per 100 analyzed battles
56.1%
Kangaskhan
Kangaskhan730 recorded pair observations · 5.47 pair observations per 100 analyzed battles
50.0%
Meowstic
Meowstic662 recorded pair observations · 4.96 pair observations per 100 analyzed battles
53.2%
Floette-Eternal
Floette-Eternal640 recorded pair observations · 4.80 pair observations per 100 analyzed battles
51.4%
Gardevoir
Gardevoir640 recorded pair observations · 4.80 pair observations per 100 analyzed battles
54.2%
Gengar
Gengar580 recorded pair observations · 4.35 pair observations per 100 analyzed battles
56.2%
Salamence
Salamence580 recorded pair observations · 4.35 pair observations per 100 analyzed battles
53.1%
Gyarados
Gyarados579 recorded pair observations · 4.34 pair observations per 100 analyzed battles
56.3%
Blastoise
Blastoise575 recorded pair observations · 4.31 pair observations per 100 analyzed battles
53.4%
Metagross
Metagross544 recorded pair observations · 4.08 pair observations per 100 analyzed battles
54.2%

Higher Win-rate Partners

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

Abomasnow
Abomasnow126 recorded pair observations · 0.94 pair observations per 100 analyzed battles
65.1%
Floette-Eternal
Floette-Eternal738 recorded pair observations · 5.53 pair observations per 100 analyzed battles
62.9%
Golisopod
Golisopod684 recorded pair observations · 5.13 pair observations per 100 analyzed battles
62.9%
Gyarados
Gyarados767 recorded pair observations · 5.75 pair observations per 100 analyzed battles
61.0%
Camerupt
Camerupt501 recorded pair observations · 3.75 pair observations per 100 analyzed battles
59.3%
Delphox
Delphox704 recorded pair observations · 5.28 pair observations per 100 analyzed battles
59.2%
Blastoise
Blastoise520 recorded pair observations · 3.90 pair observations per 100 analyzed battles
58.5%
Altaria
Altaria368 recorded pair observations · 2.76 pair observations per 100 analyzed battles
58.4%
Meowstic-F
Meowstic-F76 recorded pair observations · 0.57 pair observations per 100 analyzed battles
57.9%
Salamence
Salamence694 recorded pair observations · 5.20 pair observations per 100 analyzed battles
57.9%

Lower Win-rate Partners

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

Scolipede
Scolipede44 recorded pair observations · 0.33 pair observations per 100 analyzed battles
27.3%
Greninja
Greninja233 recorded pair observations · 1.75 pair observations per 100 analyzed battles
39.1%
Lucario
Lucario231 recorded pair observations · 1.73 pair observations per 100 analyzed battles
39.8%
Meganium
Meganium67 recorded pair observations · 0.50 pair observations per 100 analyzed battles
40.3%
Eelektross
Eelektross49 recorded pair observations · 0.37 pair observations per 100 analyzed battles
40.8%
Skarmory
Skarmory58 recorded pair observations · 0.43 pair observations per 100 analyzed battles
41.4%
Audino
Audino76 recorded pair observations · 0.57 pair observations per 100 analyzed battles
46.0%
Baxcalibur
Baxcalibur138 recorded pair observations · 1.03 pair observations per 100 analyzed battles
46.4%
Meowstic
Meowstic420 recorded pair observations · 3.15 pair observations per 100 analyzed battles
47.1%
Chesnaught
Chesnaught46 recorded pair observations · 0.34 pair observations per 100 analyzed battles
47.8%

Higher Win-rate Opponent Teams

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

Eelektross
Eelektross119 recorded pair observations · 0.89 pair observations per 100 analyzed battles
67.2%
Lucario
Lucario161 recorded pair observations · 1.21 pair observations per 100 analyzed battles
65.8%
Manectric
Manectric75 recorded pair observations · 0.56 pair observations per 100 analyzed battles
65.3%
Sceptile
Sceptile134 recorded pair observations · 1.00 pair observations per 100 analyzed battles
64.9%
Alakazam
Alakazam102 recorded pair observations · 0.76 pair observations per 100 analyzed battles
64.7%
Banette
Banette58 recorded pair observations · 0.43 pair observations per 100 analyzed battles
63.8%
Drampa
Drampa201 recorded pair observations · 1.51 pair observations per 100 analyzed battles
62.2%
Absol
Absol166 recorded pair observations · 1.24 pair observations per 100 analyzed battles
61.5%
Meganium
Meganium132 recorded pair observations · 0.99 pair observations per 100 analyzed battles
61.4%
Starmie
Starmie85 recorded pair observations · 0.64 pair observations per 100 analyzed battles
61.2%

Lower Win-rate Opponent Teams

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

Steelix
Steelix65 recorded pair observations · 0.49 pair observations per 100 analyzed battles
46.1%
Golisopod
Golisopod511 recorded pair observations · 3.83 pair observations per 100 analyzed battles
47.5%
Abomasnow
Abomasnow82 recorded pair observations · 0.61 pair observations per 100 analyzed battles
48.8%
Slowbro
Slowbro254 recorded pair observations · 1.90 pair observations per 100 analyzed battles
48.8%
Kangaskhan
Kangaskhan730 recorded pair observations · 5.47 pair observations per 100 analyzed battles
50.0%
Scizor
Scizor531 recorded pair observations · 3.98 pair observations per 100 analyzed battles
51.0%
Floette-Eternal
Floette-Eternal640 recorded pair observations · 4.80 pair observations per 100 analyzed battles
51.4%
Chandelure
Chandelure542 recorded pair observations · 4.06 pair observations per 100 analyzed battles
51.5%
Mawile
Mawile132 recorded pair observations · 0.99 pair observations per 100 analyzed battles
51.5%
Excadrill
Excadrill925 recorded pair observations · 6.93 pair observations per 100 analyzed battles
51.7%