Last Updated: 10/26/2026 11:05 [UTC]

Kingambit

Tier D

BSS Regulation M-C (Pokemon Champions)

11.17%Usage Rate
47.38%Win Rate
6.90%Lead Rate
42.62%Selection Rate
1171Avg Rating

5606 recorded team appearances · 2656 wins · 2950 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 1142 of 5606 distinct recorded team appearances (20.4%) 522 winning team uses of 1142 recorded team uses
45.7%
Sucker Punch Recorded use in 946 of 5606 distinct recorded team appearances (16.9%) 409 winning team uses of 946 recorded team uses
43.2%
Iron Head Recorded use in 662 of 5606 distinct recorded team appearances (11.8%) 281 winning team uses of 662 recorded team uses
42.4%
Swords Dance Recorded use in 331 of 5606 distinct recorded team appearances (5.9%) 154 winning team uses of 331 recorded team uses
46.5%
Taunt Recorded use in 165 of 5606 distinct recorded team appearances (2.9%) 14 winning team uses of 165 recorded team uses
8.5%
Brick Break Recorded use in 67 of 5606 distinct recorded team appearances (1.2%) 43 winning team uses of 67 recorded team uses
64.2%
Metal Burst Recorded use in 64 of 5606 distinct recorded team appearances (1.1%) 33 winning team uses of 64 recorded team uses
51.6%
Stealth Rock Recorded use in 55 of 5606 distinct recorded team appearances (1.0%) 32 winning team uses of 55 recorded team uses
58.2%
Guillotine Recorded use in 50 of 5606 distinct recorded team appearances (0.9%) 28 winning team uses of 50 recorded team uses
56.0%
Low Kick Recorded use in 22 of 5606 distinct recorded team appearances (0.4%) 12 winning team uses of 22 recorded team uses
54.5%

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 11:01–2026/10/15 12:54 UTC 6.16 47.15 12542 772 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 13.63 44.94 12542 1709 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 16.58 46.61 12542 2079 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 8.34 53.06 12540 1046 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 14.60 47.90 9968 1455 Observed
~R1142 12.59 44.26 9958 1254 Observed
~R1208 10.48 42.68 10104 1059 Observed
~R1298 8.48 50.12 10004 848 Observed
R1298~ 9.77 53.23 10132 990 Observed

Kingambit Observed Statistics

Performance Metrics

Kingambit has a reported usage rate of 11.17% and win rate of 47.38% in BSS Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 2,656 wins and 2,950 losses (5,606 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 6.16% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 8.34% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=12,540 team slots), a change of +2.18 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 47.15% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=772 recorded appearances) and 53.06% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=1,046 recorded appearances), a change of +5.91 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 8.48% (~R1298; n=10,004 team slots) to 14.60% (~R1089; n=9,968 team slots), a spread of 6.12 percentage points. Overall usage was 11.17%. 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 (1,142; 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: Hippowdon: 40.5% wins in 2,089 recorded pair observations; Clefable: 39.7% wins in 2,031 recorded pair observations; Scizor: 39.5% wins in 1,963 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: Barbaracle: 66.8% wins in 208 recorded pair observations; Sableye: 63.6% wins in 77 recorded pair observations; Indeedee-F: 63.2% wins in 68 recorded pair observations. Returned lower-win-rate opponent group: Mamoswine: 29.9% wins in 87 recorded pair observations; Dragapult: 35.8% wins in 226 recorded pair observations; Meganium: 36.5% wins in 115 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%

Hippowdon
Hippowdon2089 recorded pair observations · 8.33 pair observations per 100 analyzed battles
40.5%
Clefable
Clefable2031 recorded pair observations · 8.10 pair observations per 100 analyzed battles
39.7%
Scizor
Scizor1963 recorded pair observations · 7.83 pair observations per 100 analyzed battles
39.5%
Gyarados
Gyarados1896 recorded pair observations · 7.56 pair observations per 100 analyzed battles
39.1%
Barbaracle
Barbaracle1838 recorded pair observations · 7.33 pair observations per 100 analyzed battles
38.9%
Garchomp
Garchomp1759 recorded pair observations · 7.01 pair observations per 100 analyzed battles
54.1%
Basculegion
Basculegion974 recorded pair observations · 3.88 pair observations per 100 analyzed battles
55.0%
Dragonite
Dragonite796 recorded pair observations · 3.17 pair observations per 100 analyzed battles
55.6%
Primarina
Primarina705 recorded pair observations · 2.81 pair observations per 100 analyzed battles
56.9%
Baxcalibur
Baxcalibur676 recorded pair observations · 2.70 pair observations per 100 analyzed battles
55.6%
Salamence
Salamence559 recorded pair observations · 2.23 pair observations per 100 analyzed battles
52.4%
Floette-Eternal
Floette-Eternal473 recorded pair observations · 1.89 pair observations per 100 analyzed battles
54.8%
Lucario
Lucario471 recorded pair observations · 1.88 pair observations per 100 analyzed battles
56.9%
Corviknight
Corviknight461 recorded pair observations · 1.84 pair observations per 100 analyzed battles
50.1%
Golisopod
Golisopod419 recorded pair observations · 1.67 pair observations per 100 analyzed battles
59.4%
Archaludon
Archaludon383 recorded pair observations · 1.53 pair observations per 100 analyzed battles
53.5%
Glimmora
Glimmora345 recorded pair observations · 1.38 pair observations per 100 analyzed battles
52.8%
Pawmot
Pawmot337 recorded pair observations · 1.34 pair observations per 100 analyzed battles
59.4%
Rotom-Wash
Rotom-Wash334 recorded pair observations · 1.33 pair observations per 100 analyzed battles
49.7%
Charizard
Charizard301 recorded pair observations · 1.20 pair observations per 100 analyzed battles
51.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1868 recorded pair observations · 7.45 pair observations per 100 analyzed battles
47.4%
Primarina
Primarina1327 recorded pair observations · 5.29 pair observations per 100 analyzed battles
43.0%
Gholdengo
Gholdengo1076 recorded pair observations · 4.29 pair observations per 100 analyzed battles
43.1%
Archaludon
Archaludon1049 recorded pair observations · 4.18 pair observations per 100 analyzed battles
45.2%
Salamence
Salamence1041 recorded pair observations · 4.15 pair observations per 100 analyzed battles
40.5%
Hippowdon
Hippowdon978 recorded pair observations · 3.90 pair observations per 100 analyzed battles
50.8%
Mimikyu
Mimikyu964 recorded pair observations · 3.84 pair observations per 100 analyzed battles
45.9%
Golisopod
Golisopod847 recorded pair observations · 3.38 pair observations per 100 analyzed battles
42.6%
Corviknight
Corviknight833 recorded pair observations · 3.32 pair observations per 100 analyzed battles
43.2%
Basculegion
Basculegion767 recorded pair observations · 3.06 pair observations per 100 analyzed battles
50.5%
Kingambit
Kingambit700 recorded pair observations · 2.79 pair observations per 100 analyzed battles
50.0%
Charizard
Charizard675 recorded pair observations · 2.69 pair observations per 100 analyzed battles
46.7%
Lucario
Lucario674 recorded pair observations · 2.69 pair observations per 100 analyzed battles
46.6%
Baxcalibur
Baxcalibur610 recorded pair observations · 2.43 pair observations per 100 analyzed battles
42.3%
Metagross
Metagross583 recorded pair observations · 2.32 pair observations per 100 analyzed battles
46.5%
Floette-Eternal
Floette-Eternal550 recorded pair observations · 2.19 pair observations per 100 analyzed battles
41.8%
Dragonite
Dragonite532 recorded pair observations · 2.12 pair observations per 100 analyzed battles
48.5%
Meowscarada
Meowscarada519 recorded pair observations · 2.07 pair observations per 100 analyzed battles
46.6%
Umbreon
Umbreon501 recorded pair observations · 2.00 pair observations per 100 analyzed battles
40.3%
Rillaboom
Rillaboom486 recorded pair observations · 1.94 pair observations per 100 analyzed battles
46.7%

Higher Win-rate Partners

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

Mamoswine
Mamoswine67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
74.6%
Vanilluxe
Vanilluxe161 recorded pair observations · 0.64 pair observations per 100 analyzed battles
64.0%
Victreebel
Victreebel133 recorded pair observations · 0.53 pair observations per 100 analyzed battles
63.2%
Skeledirge
Skeledirge110 recorded pair observations · 0.44 pair observations per 100 analyzed battles
62.7%
Ditto
Ditto209 recorded pair observations · 0.83 pair observations per 100 analyzed battles
59.8%
Banette
Banette213 recorded pair observations · 0.85 pair observations per 100 analyzed battles
59.6%
Cinderace
Cinderace272 recorded pair observations · 1.08 pair observations per 100 analyzed battles
59.6%
Golisopod
Golisopod419 recorded pair observations · 1.67 pair observations per 100 analyzed battles
59.4%
Pawmot
Pawmot337 recorded pair observations · 1.34 pair observations per 100 analyzed battles
59.4%
Lucario
Lucario471 recorded pair observations · 1.88 pair observations per 100 analyzed battles
56.9%

Lower Win-rate Partners

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

Gliscor
Gliscor64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
32.8%
Beedrill
Beedrill63 recorded pair observations · 0.25 pair observations per 100 analyzed battles
34.9%
Azumarill
Azumarill62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
35.5%
Milotic
Milotic56 recorded pair observations · 0.22 pair observations per 100 analyzed battles
35.7%
Gardevoir
Gardevoir90 recorded pair observations · 0.36 pair observations per 100 analyzed battles
37.8%
Barbaracle
Barbaracle1838 recorded pair observations · 7.33 pair observations per 100 analyzed battles
38.9%
Indeedee-F
Indeedee-F59 recorded pair observations · 0.24 pair observations per 100 analyzed battles
39.0%
Gyarados
Gyarados1896 recorded pair observations · 7.56 pair observations per 100 analyzed battles
39.1%
Scizor
Scizor1963 recorded pair observations · 7.83 pair observations per 100 analyzed battles
39.5%
Clefable
Clefable2031 recorded pair observations · 8.10 pair observations per 100 analyzed battles
39.7%

Higher Win-rate Opponent Teams

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

Barbaracle
Barbaracle208 recorded pair observations · 0.83 pair observations per 100 analyzed battles
66.8%
Sableye
Sableye77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
63.6%
Indeedee-F
Indeedee-F68 recorded pair observations · 0.27 pair observations per 100 analyzed battles
63.2%
Toucannon
Toucannon56 recorded pair observations · 0.22 pair observations per 100 analyzed battles
60.7%
Scizor
Scizor432 recorded pair observations · 1.72 pair observations per 100 analyzed battles
60.6%
Grimmsnarl
Grimmsnarl197 recorded pair observations · 0.79 pair observations per 100 analyzed battles
59.9%
Espathra
Espathra151 recorded pair observations · 0.60 pair observations per 100 analyzed battles
59.6%
Sylveon
Sylveon93 recorded pair observations · 0.37 pair observations per 100 analyzed battles
59.1%
Beedrill
Beedrill58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
58.6%
Snorlax
Snorlax69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
58.0%

Lower Win-rate Opponent Teams

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

Mamoswine
Mamoswine87 recorded pair observations · 0.35 pair observations per 100 analyzed battles
29.9%
Dragapult
Dragapult226 recorded pair observations · 0.90 pair observations per 100 analyzed battles
35.8%
Meganium
Meganium115 recorded pair observations · 0.46 pair observations per 100 analyzed battles
36.5%
Scolipede
Scolipede324 recorded pair observations · 1.29 pair observations per 100 analyzed battles
37.0%
Polteageist
Polteageist70 recorded pair observations · 0.28 pair observations per 100 analyzed battles
38.6%
Samurott-Hisui
Samurott-Hisui244 recorded pair observations · 0.97 pair observations per 100 analyzed battles
38.9%
Indeedee
Indeedee408 recorded pair observations · 1.63 pair observations per 100 analyzed battles
39.7%
Lopunny
Lopunny121 recorded pair observations · 0.48 pair observations per 100 analyzed battles
39.7%
Skarmory
Skarmory123 recorded pair observations · 0.49 pair observations per 100 analyzed battles
39.8%
Umbreon
Umbreon501 recorded pair observations · 2.00 pair observations per 100 analyzed battles
40.3%