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

Kingambit

Tier B

OU (Over Used)

19.88%Usage Rate

52.63%Win Rate

2.07%Lead Rate

1255Avg Rating

59342 recorded team appearances · 31232 wins · 28110 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Sucker Punch Recorded use in 18726 of 59343 distinct recorded team appearances (31.6%) 8734 winning team uses of 18726 recorded team uses

46.6%

Kowtow Cleave Recorded use in 14187 of 59343 distinct recorded team appearances (23.9%) 7454 winning team uses of 14187 recorded team uses

52.5%

Swords Dance Recorded use in 12627 of 59343 distinct recorded team appearances (21.3%) 5724 winning team uses of 12627 recorded team uses

45.3%

Iron Head Recorded use in 10679 of 59343 distinct recorded team appearances (18.0%) 5650 winning team uses of 10679 recorded team uses

52.9%

Low Kick Recorded use in 3198 of 59343 distinct recorded team appearances (5.4%) 1750 winning team uses of 3198 recorded team uses

54.7%

Brick Break Recorded use in 332 of 59343 distinct recorded team appearances (0.6%) 140 winning team uses of 332 recorded team uses

42.2%

Protect Recorded use in 216 of 59343 distinct recorded team appearances (0.4%) 77 winning team uses of 216 recorded team uses

35.6%

Zen Headbutt Recorded use in 161 of 59343 distinct recorded team appearances (0.3%) 73 winning team uses of 161 recorded team uses

45.3%

Poison Jab Recorded use in 123 of 59343 distinct recorded team appearances (0.2%) 52 winning team uses of 123 recorded team uses

42.3%

Stone Edge Recorded use in 116 of 59343 distinct recorded team appearances (0.2%) 39 winning team uses of 116 recorded team uses

33.6%

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 / band	Usage %	Win %	Team slots	Recorded appearances with win/loss	Status
Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST	19.34	52.33	74640	14432	Observed
Period 2: 2026/09/30 15:45–2026/10/03 23:48 JST	20.25	53.20	74640	15116	Observed
Period 3: 2026/10/03 23:48–2026/10/07 09:55 JST	19.75	52.38	74640	14739	Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST	20.17	52.59	74640	15055	Observed

Rating bands
Period / band	Usage %	Win %	Team slots	Recorded appearances with win/loss	Status
~R1084	17.45	55.91	60196	10506	Observed
~R1156	19.83	52.86	59416	11781	Observed
~R1268	21.45	51.82	59484	12758	Observed
~R1398	19.92	51.12	59960	11943	Observed
R1398~	20.76	51.92	59504	12354	Observed

Kingambit Observed Statistics

Performance Metrics

Kingambit has a reported usage rate of 19.88% and win rate of 52.63% in OU (Over Used) (displayed tier: B). The report covers 09/26/2026 to 10/10/2026, with 149,280 recorded battles. 31,232 wins and 28,110 losses (59,342 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 19.34% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,640 team slots) and 20.17% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=74,640 team slots), a change of +0.83 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 52.33% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=14,432 recorded appearances) and 52.59% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=15,055 recorded appearances), a change of +0.26 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 17.45% (~R1084; n=60,196 team slots) to 21.45% (~R1268; n=59,484 team slots), a spread of 4.00 percentage points. Overall usage was 19.88%. 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, Sucker Punch has the largest recorded team-use count (18,726; 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: Great Tusk: 52.8% wins in 22,593 recorded pair observations; Ogerpon-Wellspring: 53.9% wins in 14,041 recorded pair observations; Gholdengo: 52.0% wins in 13,158 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: Metagross: 61.8% wins in 801 recorded pair observations; Incineroar: 61.5% wins in 615 recorded pair observations; Milotic: 60.1% wins in 655 recorded pair observations. Returned lower-win-rate opponent group: Manaphy: 46.4% wins in 657 recorded pair observations; Indeedee: 46.6% wins in 814 recorded pair observations; Hawlucha: 46.7% wins in 1,521 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%

Great Tusk22593 recorded pair observations · 15.13 pair observations per 100 analyzed battles

52.8%

Ogerpon-Wellspring14041 recorded pair observations · 9.41 pair observations per 100 analyzed battles

53.9%

Gholdengo13158 recorded pair observations · 8.81 pair observations per 100 analyzed battles

52.0%

Dragapult13083 recorded pair observations · 8.76 pair observations per 100 analyzed battles

50.6%

Iron Valiant12569 recorded pair observations · 8.42 pair observations per 100 analyzed battles

53.1%

Slowking-Galar10011 recorded pair observations · 6.71 pair observations per 100 analyzed battles

54.7%

Raging Bolt8746 recorded pair observations · 5.86 pair observations per 100 analyzed battles

56.1%

Landorus-Therian8728 recorded pair observations · 5.85 pair observations per 100 analyzed battles

55.2%

Kyurem8658 recorded pair observations · 5.80 pair observations per 100 analyzed battles

54.5%

Dragonite7645 recorded pair observations · 5.12 pair observations per 100 analyzed battles

52.9%

Gliscor7523 recorded pair observations · 5.04 pair observations per 100 analyzed battles

49.0%

Cinderace7521 recorded pair observations · 5.04 pair observations per 100 analyzed battles

54.4%

Glimmora7246 recorded pair observations · 4.85 pair observations per 100 analyzed battles

53.5%

Hatterene7013 recorded pair observations · 4.70 pair observations per 100 analyzed battles

52.5%

Zamazenta-*6808 recorded pair observations · 4.56 pair observations per 100 analyzed battles

56.2%

Iron Moth5439 recorded pair observations · 3.64 pair observations per 100 analyzed battles

57.0%

Iron Treads5234 recorded pair observations · 3.51 pair observations per 100 analyzed battles

55.1%

Ceruledge4301 recorded pair observations · 2.88 pair observations per 100 analyzed battles

50.1%

Samurott-Hisui4202 recorded pair observations · 2.81 pair observations per 100 analyzed battles

56.3%

Corviknight4152 recorded pair observations · 2.78 pair observations per 100 analyzed battles

49.7%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk16168 recorded pair observations · 10.83 pair observations per 100 analyzed battles

49.8%

Gholdengo12341 recorded pair observations · 8.27 pair observations per 100 analyzed battles

51.9%

Kingambit12032 recorded pair observations · 8.06 pair observations per 100 analyzed battles

50.0%

Dragonite8553 recorded pair observations · 5.73 pair observations per 100 analyzed battles

50.8%

Ogerpon-Wellspring8251 recorded pair observations · 5.53 pair observations per 100 analyzed battles

49.4%

Dragapult8149 recorded pair observations · 5.46 pair observations per 100 analyzed battles

54.1%

Gliscor8138 recorded pair observations · 5.45 pair observations per 100 analyzed battles

53.1%

Iron Valiant8108 recorded pair observations · 5.43 pair observations per 100 analyzed battles

48.8%

Zamazenta-*8003 recorded pair observations · 5.36 pair observations per 100 analyzed battles

47.4%

Corviknight7573 recorded pair observations · 5.07 pair observations per 100 analyzed battles

53.1%

Raging Bolt6945 recorded pair observations · 4.65 pair observations per 100 analyzed battles

47.3%

Slowking-Galar6604 recorded pair observations · 4.42 pair observations per 100 analyzed battles

52.4%

Hatterene6577 recorded pair observations · 4.41 pair observations per 100 analyzed battles

51.1%

Cinderace6403 recorded pair observations · 4.29 pair observations per 100 analyzed battles

51.2%

Alomomola6018 recorded pair observations · 4.03 pair observations per 100 analyzed battles

52.8%

Landorus-Therian5760 recorded pair observations · 3.86 pair observations per 100 analyzed battles

49.2%

Samurott-Hisui5671 recorded pair observations · 3.80 pair observations per 100 analyzed battles

49.8%

Kyurem5632 recorded pair observations · 3.77 pair observations per 100 analyzed battles

50.9%

Iron Treads5498 recorded pair observations · 3.68 pair observations per 100 analyzed battles

49.2%

Glimmora5377 recorded pair observations · 3.60 pair observations per 100 analyzed battles

51.3%

Higher Win-rate Partners

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

Moltres-Galar598 recorded pair observations · 0.40 pair observations per 100 analyzed battles

61.0%

Overqwil701 recorded pair observations · 0.47 pair observations per 100 analyzed battles

58.8%

Cresselia1936 recorded pair observations · 1.30 pair observations per 100 analyzed battles

58.2%

Iron Moth5439 recorded pair observations · 3.64 pair observations per 100 analyzed battles

57.0%

Enamorus2471 recorded pair observations · 1.66 pair observations per 100 analyzed battles

56.3%

Samurott-Hisui4202 recorded pair observations · 2.81 pair observations per 100 analyzed battles

56.3%

Araquanid1607 recorded pair observations · 1.08 pair observations per 100 analyzed battles

56.2%

Zamazenta-*6808 recorded pair observations · 4.56 pair observations per 100 analyzed battles

56.2%

Raging Bolt8746 recorded pair observations · 5.86 pair observations per 100 analyzed battles

56.1%

Ogerpon-Cornerstone676 recorded pair observations · 0.45 pair observations per 100 analyzed battles

55.9%

Lower Win-rate Partners

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

Clodsire627 recorded pair observations · 0.42 pair observations per 100 analyzed battles

47.0%

Quaquaval713 recorded pair observations · 0.48 pair observations per 100 analyzed battles

47.3%

Dondozo1228 recorded pair observations · 0.82 pair observations per 100 analyzed battles

47.4%

Mimikyu680 recorded pair observations · 0.46 pair observations per 100 analyzed battles

47.9%

Greninja-*1066 recorded pair observations · 0.71 pair observations per 100 analyzed battles

48.8%

Gliscor7523 recorded pair observations · 5.04 pair observations per 100 analyzed battles

49.0%

Rotom-Wash1525 recorded pair observations · 1.02 pair observations per 100 analyzed battles

49.1%

Scizor718 recorded pair observations · 0.48 pair observations per 100 analyzed battles

49.3%

Maushold2231 recorded pair observations · 1.49 pair observations per 100 analyzed battles

49.5%

Toxapex1107 recorded pair observations · 0.74 pair observations per 100 analyzed battles

49.5%

Higher Win-rate Opponent Teams

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

Metagross801 recorded pair observations · 0.54 pair observations per 100 analyzed battles

61.8%

Incineroar615 recorded pair observations · 0.41 pair observations per 100 analyzed battles

61.5%

Milotic655 recorded pair observations · 0.44 pair observations per 100 analyzed battles

60.1%

Gyarados657 recorded pair observations · 0.44 pair observations per 100 analyzed battles

59.2%

Cloyster761 recorded pair observations · 0.51 pair observations per 100 analyzed battles

58.3%

Zoroark-Hisui806 recorded pair observations · 0.54 pair observations per 100 analyzed battles

57.7%

Greninja-*1606 recorded pair observations · 1.08 pair observations per 100 analyzed battles

57.4%

Regieleki731 recorded pair observations · 0.49 pair observations per 100 analyzed battles

57.3%

Grimmsnarl1017 recorded pair observations · 0.68 pair observations per 100 analyzed battles

56.8%

Polteageist669 recorded pair observations · 0.45 pair observations per 100 analyzed battles

56.6%

Lower Win-rate Opponent Teams

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

Manaphy657 recorded pair observations · 0.44 pair observations per 100 analyzed battles

46.4%

Indeedee814 recorded pair observations · 0.55 pair observations per 100 analyzed battles

46.6%

Hawlucha1521 recorded pair observations · 1.02 pair observations per 100 analyzed battles

46.7%

Slither Wing873 recorded pair observations · 0.58 pair observations per 100 analyzed battles

47.1%

Keldeo-Resolute600 recorded pair observations · 0.40 pair observations per 100 analyzed battles

47.3%

Raging Bolt6945 recorded pair observations · 4.65 pair observations per 100 analyzed battles

47.3%

Moltres-Galar663 recorded pair observations · 0.44 pair observations per 100 analyzed battles

47.4%

Zamazenta-*8003 recorded pair observations · 5.36 pair observations per 100 analyzed battles

47.4%

Iron Crown2264 recorded pair observations · 1.52 pair observations per 100 analyzed battles

47.6%

Iron Moth4432 recorded pair observations · 2.97 pair observations per 100 analyzed battles

48.1%