Last Updated: 10/26/2026 11:11 [UTC]

Kingambit

Tier B

VGC 2026 Regulation M-C (Pokemon Champions)

17.19%Usage Rate
51.89%Win Rate
24.72%Lead Rate
51.41%Selection Rate
1309Avg Rating

110706 recorded team appearances · 57446 wins · 53260 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Kowtow Cleave Recorded use in 29225 of 110715 distinct recorded team appearances (26.4%) 16650 winning team uses of 29225 recorded team uses
57.0%
Sucker Punch Recorded use in 27335 of 110715 distinct recorded team appearances (24.7%) 14372 winning team uses of 27335 recorded team uses
52.6%
Protect Recorded use in 16378 of 110715 distinct recorded team appearances (14.8%) 8286 winning team uses of 16378 recorded team uses
50.6%
Iron Head Recorded use in 10741 of 110715 distinct recorded team appearances (9.7%) 6263 winning team uses of 10741 recorded team uses
58.3%
Swords Dance Recorded use in 5760 of 110715 distinct recorded team appearances (5.2%) 3138 winning team uses of 5760 recorded team uses
54.5%
Low Kick Recorded use in 4228 of 110715 distinct recorded team appearances (3.8%) 2400 winning team uses of 4228 recorded team uses
56.8%
Brick Break Recorded use in 172 of 110715 distinct recorded team appearances (0.2%) 93 winning team uses of 172 recorded team uses
54.1%
Assurance Recorded use in 65 of 110715 distinct recorded team appearances (0.1%) 34 winning team uses of 65 recorded team uses
52.3%
Throat Chop Recorded use in 57 of 110715 distinct recorded team appearances (0.1%) 31 winning team uses of 57 recorded team uses
54.4%
Guillotine Recorded use in 46 of 110715 distinct recorded team appearances (0.0%) 22 winning team uses of 46 recorded team uses
47.8%

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: 2026/10/12 11:01–2026/10/16 00:34 UTC 17.60 51.88 160964 28333 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 16.98 52.04 160962 27336 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:24 UTC 17.08 51.62 160962 27490 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 17.11 52.03 160962 27547 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 13.53 53.69 128104 17335 Observed
~R1208 15.28 51.17 129166 19742 Observed
~R1302 16.31 52.11 126962 20712 Observed
~R1405 18.44 51.92 130626 24082 Observed
R1405~ 22.35 51.12 128992 28835 Observed

Kingambit Observed Statistics

Performance Metrics

Kingambit has a reported usage rate of 17.19% and win rate of 51.89% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: B). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,925 recorded battles. 57,446 wins and 53,260 losses (110,706 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 17.60% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,964 team slots) and 17.11% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,962 team slots), a change of -0.49 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 51.88% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=28,333 recorded appearances) and 52.03% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=27,547 recorded appearances), a change of +0.15 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 13.53% (~R1129; n=128,104 team slots) to 22.35% (R1405~; n=128,992 team slots), a spread of 8.82 percentage points. Overall usage was 17.19%. 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, Kowtow Cleave has the largest recorded team-use count (29,225; 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: Sneasler: 53.1% wins in 50,171 recorded pair observations; Rillaboom: 52.2% wins in 42,037 recorded pair observations; Garchomp: 52.9% wins in 35,039 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: Maushold: 58.0% wins in 2,175 recorded pair observations; Rotom-Wash: 57.8% wins in 1,881 recorded pair observations; Clefable: 57.7% wins in 1,490 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 46.3% wins in 5,430 recorded pair observations; Archaludon: 48.4% wins in 21,935 recorded pair observations; Venusaur: 48.7% wins in 8,871 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%

Sneasler
Sneasler50171 recorded pair observations · 15.58 pair observations per 100 analyzed battles
53.1%
Rillaboom
Rillaboom42037 recorded pair observations · 13.06 pair observations per 100 analyzed battles
52.2%
Garchomp
Garchomp35039 recorded pair observations · 10.88 pair observations per 100 analyzed battles
52.9%
Basculegion
Basculegion26285 recorded pair observations · 8.16 pair observations per 100 analyzed battles
53.7%
Incineroar
Incineroar21990 recorded pair observations · 6.83 pair observations per 100 analyzed battles
50.5%
Salamence
Salamence20799 recorded pair observations · 6.46 pair observations per 100 analyzed battles
53.1%
Charizard
Charizard18935 recorded pair observations · 5.88 pair observations per 100 analyzed battles
54.1%
Whimsicott
Whimsicott17753 recorded pair observations · 5.51 pair observations per 100 analyzed battles
51.9%
Farigiraf
Farigiraf16846 recorded pair observations · 5.23 pair observations per 100 analyzed battles
51.9%
Floette-Eternal
Floette-Eternal15824 recorded pair observations · 4.92 pair observations per 100 analyzed battles
54.6%
Raichu
Raichu15012 recorded pair observations · 4.66 pair observations per 100 analyzed battles
52.2%
Indeedee-F
Indeedee-F14890 recorded pair observations · 4.63 pair observations per 100 analyzed battles
51.2%
Froslass
Froslass13869 recorded pair observations · 4.31 pair observations per 100 analyzed battles
52.9%
Sinistcha
Sinistcha10983 recorded pair observations · 3.41 pair observations per 100 analyzed battles
49.2%
Sylveon
Sylveon9504 recorded pair observations · 2.95 pair observations per 100 analyzed battles
54.0%
Delphox
Delphox8757 recorded pair observations · 2.72 pair observations per 100 analyzed battles
54.6%
Arcanine-Hisui
Arcanine-Hisui8598 recorded pair observations · 2.67 pair observations per 100 analyzed battles
52.8%
Dragonite
Dragonite8108 recorded pair observations · 2.52 pair observations per 100 analyzed battles
53.8%
Kommo-o
Kommo-o7377 recorded pair observations · 2.29 pair observations per 100 analyzed battles
52.1%
Volcarona
Volcarona7365 recorded pair observations · 2.29 pair observations per 100 analyzed battles
51.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom35086 recorded pair observations · 10.90 pair observations per 100 analyzed battles
51.6%
Sneasler
Sneasler34176 recorded pair observations · 10.62 pair observations per 100 analyzed battles
50.6%
Incineroar
Incineroar30560 recorded pair observations · 9.49 pair observations per 100 analyzed battles
52.0%
Garchomp
Garchomp29983 recorded pair observations · 9.31 pair observations per 100 analyzed battles
50.7%
Archaludon
Archaludon21935 recorded pair observations · 6.81 pair observations per 100 analyzed battles
48.4%
Raichu
Raichu21259 recorded pair observations · 6.60 pair observations per 100 analyzed battles
51.0%
Charizard
Charizard20006 recorded pair observations · 6.21 pair observations per 100 analyzed battles
49.5%
Kingambit
Kingambit19756 recorded pair observations · 6.14 pair observations per 100 analyzed battles
50.0%
Indeedee-F
Indeedee-F19042 recorded pair observations · 5.92 pair observations per 100 analyzed battles
51.3%
Farigiraf
Farigiraf18927 recorded pair observations · 5.88 pair observations per 100 analyzed battles
50.4%
Pelipper
Pelipper18685 recorded pair observations · 5.80 pair observations per 100 analyzed battles
48.8%
Golisopod
Golisopod16258 recorded pair observations · 5.05 pair observations per 100 analyzed battles
49.3%
Gholdengo
Gholdengo14497 recorded pair observations · 4.50 pair observations per 100 analyzed battles
53.0%
Basculegion
Basculegion13361 recorded pair observations · 4.15 pair observations per 100 analyzed battles
51.5%
Whimsicott
Whimsicott13229 recorded pair observations · 4.11 pair observations per 100 analyzed battles
54.0%
Salamence
Salamence12382 recorded pair observations · 3.85 pair observations per 100 analyzed battles
51.7%
Tyranitar
Tyranitar10737 recorded pair observations · 3.34 pair observations per 100 analyzed battles
52.5%
Sylveon
Sylveon10104 recorded pair observations · 3.14 pair observations per 100 analyzed battles
49.4%
Sinistcha
Sinistcha10003 recorded pair observations · 3.11 pair observations per 100 analyzed battles
54.0%
Volcarona
Volcarona9758 recorded pair observations · 3.03 pair observations per 100 analyzed battles
52.8%

Higher Win-rate Partners

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

Scovillain
Scovillain1872 recorded pair observations · 0.58 pair observations per 100 analyzed battles
54.9%
Delphox
Delphox8757 recorded pair observations · 2.72 pair observations per 100 analyzed battles
54.6%
Floette-Eternal
Floette-Eternal15824 recorded pair observations · 4.92 pair observations per 100 analyzed battles
54.6%
Lycanroc-Dusk
Lycanroc-Dusk1232 recorded pair observations · 0.38 pair observations per 100 analyzed battles
54.4%
Chandelure
Chandelure1280 recorded pair observations · 0.40 pair observations per 100 analyzed battles
54.1%
Charizard
Charizard18935 recorded pair observations · 5.88 pair observations per 100 analyzed battles
54.1%
Sylveon
Sylveon9504 recorded pair observations · 2.95 pair observations per 100 analyzed battles
54.0%
Dragonite
Dragonite8108 recorded pair observations · 2.52 pair observations per 100 analyzed battles
53.8%
Basculegion
Basculegion26285 recorded pair observations · 8.16 pair observations per 100 analyzed battles
53.7%
Armarouge
Armarouge5519 recorded pair observations · 1.71 pair observations per 100 analyzed battles
53.6%

Lower Win-rate Partners

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

Sableye
Sableye1256 recorded pair observations · 0.39 pair observations per 100 analyzed battles
45.1%
Lucario
Lucario1164 recorded pair observations · 0.36 pair observations per 100 analyzed battles
45.3%
Metagross
Metagross3997 recorded pair observations · 1.24 pair observations per 100 analyzed battles
45.8%
Sceptile
Sceptile1217 recorded pair observations · 0.38 pair observations per 100 analyzed battles
46.7%
Alakazam
Alakazam1433 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.0%
Alcremie
Alcremie1157 recorded pair observations · 0.36 pair observations per 100 analyzed battles
47.0%
Grimmsnarl
Grimmsnarl1431 recorded pair observations · 0.44 pair observations per 100 analyzed battles
47.1%
Hawlucha
Hawlucha1435 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.3%
Hippowdon
Hippowdon1896 recorded pair observations · 0.59 pair observations per 100 analyzed battles
47.5%
Maushold
Maushold1245 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.2%

Higher Win-rate Opponent Teams

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

Maushold
Maushold2175 recorded pair observations · 0.68 pair observations per 100 analyzed battles
58.0%
Rotom-Wash
Rotom-Wash1881 recorded pair observations · 0.58 pair observations per 100 analyzed battles
57.8%
Clefable
Clefable1490 recorded pair observations · 0.46 pair observations per 100 analyzed battles
57.7%
Scovillain
Scovillain1318 recorded pair observations · 0.41 pair observations per 100 analyzed battles
56.6%
Sableye
Sableye2746 recorded pair observations · 0.85 pair observations per 100 analyzed battles
56.0%
Sceptile
Sceptile2109 recorded pair observations · 0.66 pair observations per 100 analyzed battles
56.0%
Lucario
Lucario3201 recorded pair observations · 0.99 pair observations per 100 analyzed battles
55.9%
Gengar
Gengar5587 recorded pair observations · 1.74 pair observations per 100 analyzed battles
55.0%
Ninetales-Alola
Ninetales-Alola3409 recorded pair observations · 1.06 pair observations per 100 analyzed battles
55.0%
Gallade
Gallade1549 recorded pair observations · 0.48 pair observations per 100 analyzed battles
54.7%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F5430 recorded pair observations · 1.69 pair observations per 100 analyzed battles
46.3%
Archaludon
Archaludon21935 recorded pair observations · 6.81 pair observations per 100 analyzed battles
48.4%
Venusaur
Venusaur8871 recorded pair observations · 2.76 pair observations per 100 analyzed battles
48.7%
Pelipper
Pelipper18685 recorded pair observations · 5.80 pair observations per 100 analyzed battles
48.8%
Swampert
Swampert4827 recorded pair observations · 1.50 pair observations per 100 analyzed battles
48.9%
Golisopod
Golisopod16258 recorded pair observations · 5.05 pair observations per 100 analyzed battles
49.3%
Sylveon
Sylveon10104 recorded pair observations · 3.14 pair observations per 100 analyzed battles
49.4%
Charizard
Charizard20006 recorded pair observations · 6.21 pair observations per 100 analyzed battles
49.5%
Armarouge
Armarouge4953 recorded pair observations · 1.54 pair observations per 100 analyzed battles
49.6%
Floette-Eternal
Floette-Eternal8616 recorded pair observations · 2.68 pair observations per 100 analyzed battles
49.9%