Last Updated: 10/22/2026 11:05 [UTC]

Pincurchin

Tier E

BSS Regulation M-C (Pokemon Champions)

1.02%Usage Rate
36.90%Win Rate
34.76%Lead Rate
50.45%Selection Rate
1094Avg Rating

561 recorded team appearances · 207 wins · 354 losses · 10/08/2026–10/22/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Sucker Punch Recorded use in 72 of 561 distinct recorded team appearances (12.8%) 26 winning team uses of 72 recorded team uses
36.1%
Memento Recorded use in 71 of 561 distinct recorded team appearances (12.7%) 26 winning team uses of 71 recorded team uses
36.6%
Rising Voltage Recorded use in 67 of 561 distinct recorded team appearances (11.9%) 28 winning team uses of 67 recorded team uses
41.8%
Discharge Recorded use in 47 of 561 distinct recorded team appearances (8.4%) 15 winning team uses of 47 recorded team uses
31.9%
Scald Recorded use in 36 of 561 distinct recorded team appearances (6.4%) 11 winning team uses of 36 recorded team uses
30.6%
Spikes Recorded use in 28 of 561 distinct recorded team appearances (5.0%) 14 winning team uses of 28 recorded team uses
50.0%
Thunder Wave Recorded use in 24 of 561 distinct recorded team appearances (4.3%) 7 winning team uses of 24 recorded team uses
29.2%
Endure Recorded use in 11 of 561 distinct recorded team appearances (2.0%) 4 winning team uses of 11 recorded team uses
36.4%

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 11:02–2026/10/12 05:04 UTC 1.39 34.21 13696 190 Observed
Period 2: 2026/10/12 05:05–2026/10/15 12:01 UTC 0.58 36.25 13696 80 Observed
Period 3: 2026/10/15 12:02–2026/10/18 14:16 UTC 0.37 27.45 13694 51 Observed
Period 4: 2026/10/18 14:16–2026/10/22 10:59 UTC 1.75 41.25 13694 240 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 2.18 41.84 10952 239 Observed
~R1142 1.45 35.44 10892 158 Observed
~R1207 1.01 31.53 11014 111 Observed
~R1292 0.36 35.90 10940 39 Observed
R1292~ 0.13 14.29 10982 14 Observed

Pincurchin Observed Statistics

Performance Metrics

Pincurchin has a reported usage rate of 1.02% and win rate of 36.90% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/08/2026 to 10/22/2026 (UTC), with 27,390 recorded battles. 207 wins and 354 losses (561 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 1.39% in the first available period (Period 1: 2026/10/08 11:02–2026/10/12 05:04 UTC; n=13,696 team slots) and 1.75% in the last available period (Period 4: 2026/10/18 14:16–2026/10/22 10:59 UTC; n=13,694 team slots), a change of +0.36 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 34.21% in the first available period (Period 1: 2026/10/08 11:02–2026/10/12 05:04 UTC; n=190 recorded appearances) and 41.25% in the last available period (Period 4: 2026/10/18 14:16–2026/10/22 10:59 UTC; n=240 recorded appearances), a change of +7.04 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 0.13% (R1292~; n=10,982 team slots) to 2.18% (~R1089; n=10,952 team slots), a spread of 2.05 percentage points. Overall usage was 1.02%. 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 (72; 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: Dragonite: 37.6% wins in 221 recorded pair observations; Skeledirge: 41.1% wins in 192 recorded pair observations; Eelektross: 42.0% wins in 188 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: Sneasler: 55.0% wins in 60 recorded pair observations; Kingambit: 52.5% wins in 59 recorded pair observations; Gyarados: 50.0% wins in 38 recorded pair observations. Returned lower-win-rate opponent group: Swampert: 17.9% wins in 28 recorded pair observations; Dragapult: 22.6% wins in 31 recorded pair observations; Baxcalibur: 24.6% wins in 69 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%

Dragonite
Dragonite221 recorded pair observations · 0.81 pair observations per 100 analyzed battles
37.6%
Skeledirge
Skeledirge192 recorded pair observations · 0.70 pair observations per 100 analyzed battles
41.1%
Eelektross
Eelektross188 recorded pair observations · 0.69 pair observations per 100 analyzed battles
42.0%
Grimmsnarl
Grimmsnarl186 recorded pair observations · 0.68 pair observations per 100 analyzed battles
41.4%
Krookodile
Krookodile186 recorded pair observations · 0.68 pair observations per 100 analyzed battles
41.4%
Blastoise
Blastoise132 recorded pair observations · 0.48 pair observations per 100 analyzed battles
40.1%
Charizard
Charizard94 recorded pair observations · 0.34 pair observations per 100 analyzed battles
44.7%
Torkoal
Torkoal84 recorded pair observations · 0.31 pair observations per 100 analyzed battles
22.6%
Raichu-Alola
Raichu-Alola78 recorded pair observations · 0.28 pair observations per 100 analyzed battles
32.0%
Sceptile
Sceptile75 recorded pair observations · 0.27 pair observations per 100 analyzed battles
30.7%
Sneasler
Sneasler61 recorded pair observations · 0.22 pair observations per 100 analyzed battles
26.2%
Ampharos
Ampharos59 recorded pair observations · 0.22 pair observations per 100 analyzed battles
30.5%
Clawitzer
Clawitzer56 recorded pair observations · 0.20 pair observations per 100 analyzed battles
30.4%
Bellibolt
Bellibolt47 recorded pair observations · 0.17 pair observations per 100 analyzed battles
36.2%
Garchomp
Garchomp46 recorded pair observations · 0.17 pair observations per 100 analyzed battles
43.5%
Kangaskhan
Kangaskhan45 recorded pair observations · 0.16 pair observations per 100 analyzed battles
17.8%
Lucario
Lucario43 recorded pair observations · 0.16 pair observations per 100 analyzed battles
39.5%
Sableye
Sableye43 recorded pair observations · 0.16 pair observations per 100 analyzed battles
32.6%
Ninetales-Alola
Ninetales-Alola38 recorded pair observations · 0.14 pair observations per 100 analyzed battles
39.5%
Hawlucha
Hawlucha37 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp216 recorded pair observations · 0.79 pair observations per 100 analyzed battles
34.7%
Primarina
Primarina126 recorded pair observations · 0.46 pair observations per 100 analyzed battles
34.9%
Archaludon
Archaludon117 recorded pair observations · 0.43 pair observations per 100 analyzed battles
37.6%
Mimikyu
Mimikyu101 recorded pair observations · 0.37 pair observations per 100 analyzed battles
27.7%
Charizard
Charizard90 recorded pair observations · 0.33 pair observations per 100 analyzed battles
32.2%
Hippowdon
Hippowdon88 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.2%
Corviknight
Corviknight84 recorded pair observations · 0.31 pair observations per 100 analyzed battles
32.1%
Golisopod
Golisopod83 recorded pair observations · 0.30 pair observations per 100 analyzed battles
27.7%
Gholdengo
Gholdengo78 recorded pair observations · 0.28 pair observations per 100 analyzed battles
32.0%
Salamence
Salamence73 recorded pair observations · 0.27 pair observations per 100 analyzed battles
35.6%
Lucario
Lucario72 recorded pair observations · 0.26 pair observations per 100 analyzed battles
29.2%
Baxcalibur
Baxcalibur69 recorded pair observations · 0.25 pair observations per 100 analyzed battles
24.6%
Sneasler
Sneasler60 recorded pair observations · 0.22 pair observations per 100 analyzed battles
55.0%
Kingambit
Kingambit59 recorded pair observations · 0.22 pair observations per 100 analyzed battles
52.5%
Metagross
Metagross58 recorded pair observations · 0.21 pair observations per 100 analyzed battles
31.0%
Meowscarada
Meowscarada57 recorded pair observations · 0.21 pair observations per 100 analyzed battles
29.8%
Basculegion
Basculegion56 recorded pair observations · 0.20 pair observations per 100 analyzed battles
28.6%
Clefable
Clefable55 recorded pair observations · 0.20 pair observations per 100 analyzed battles
41.8%
Scizor
Scizor51 recorded pair observations · 0.19 pair observations per 100 analyzed battles
43.1%
Raichu
Raichu48 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.8%

Higher Win-rate Partners

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

Meowscarada
Meowscarada27 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.6%
Hawlucha
Hawlucha37 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.0%
Hippowdon
Hippowdon32 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.1%
Charizard
Charizard94 recorded pair observations · 0.34 pair observations per 100 analyzed battles
44.7%
Indeedee
Indeedee36 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.4%
Garchomp
Garchomp46 recorded pair observations · 0.17 pair observations per 100 analyzed battles
43.5%
Eelektross
Eelektross188 recorded pair observations · 0.69 pair observations per 100 analyzed battles
42.0%
Grimmsnarl
Grimmsnarl186 recorded pair observations · 0.68 pair observations per 100 analyzed battles
41.4%
Krookodile
Krookodile186 recorded pair observations · 0.68 pair observations per 100 analyzed battles
41.4%
Skeledirge
Skeledirge192 recorded pair observations · 0.70 pair observations per 100 analyzed battles
41.1%

Lower Win-rate Partners

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

Kangaskhan
Kangaskhan45 recorded pair observations · 0.16 pair observations per 100 analyzed battles
17.8%
Torkoal
Torkoal84 recorded pair observations · 0.31 pair observations per 100 analyzed battles
22.6%
Sneasler
Sneasler61 recorded pair observations · 0.22 pair observations per 100 analyzed battles
26.2%
Clawitzer
Clawitzer56 recorded pair observations · 0.20 pair observations per 100 analyzed battles
30.4%
Ampharos
Ampharos59 recorded pair observations · 0.22 pair observations per 100 analyzed battles
30.5%
Weavile
Weavile36 recorded pair observations · 0.13 pair observations per 100 analyzed battles
30.6%
Sceptile
Sceptile75 recorded pair observations · 0.27 pair observations per 100 analyzed battles
30.7%
Raichu-Alola
Raichu-Alola78 recorded pair observations · 0.28 pair observations per 100 analyzed battles
32.0%
Sableye
Sableye43 recorded pair observations · 0.16 pair observations per 100 analyzed battles
32.6%
Bellibolt
Bellibolt47 recorded pair observations · 0.17 pair observations per 100 analyzed battles
36.2%

Higher Win-rate Opponent Teams

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

Sneasler
Sneasler60 recorded pair observations · 0.22 pair observations per 100 analyzed battles
55.0%
Kingambit
Kingambit59 recorded pair observations · 0.22 pair observations per 100 analyzed battles
52.5%
Gyarados
Gyarados38 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.0%
Raichu
Raichu48 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.8%
Hippowdon
Hippowdon88 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.2%
Scizor
Scizor51 recorded pair observations · 0.19 pair observations per 100 analyzed battles
43.1%
Clefable
Clefable55 recorded pair observations · 0.20 pair observations per 100 analyzed battles
41.8%
Delphox
Delphox41 recorded pair observations · 0.15 pair observations per 100 analyzed battles
41.5%
Glimmora
Glimmora33 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.4%
Archaludon
Archaludon117 recorded pair observations · 0.43 pair observations per 100 analyzed battles
37.6%

Lower Win-rate Opponent Teams

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

Swampert
Swampert28 recorded pair observations · 0.10 pair observations per 100 analyzed battles
17.9%
Dragapult
Dragapult31 recorded pair observations · 0.11 pair observations per 100 analyzed battles
22.6%
Baxcalibur
Baxcalibur69 recorded pair observations · 0.25 pair observations per 100 analyzed battles
24.6%
Pawmot
Pawmot36 recorded pair observations · 0.13 pair observations per 100 analyzed battles
25.0%
Dragonite
Dragonite41 recorded pair observations · 0.15 pair observations per 100 analyzed battles
26.8%
Golisopod
Golisopod83 recorded pair observations · 0.30 pair observations per 100 analyzed battles
27.7%
Mimikyu
Mimikyu101 recorded pair observations · 0.37 pair observations per 100 analyzed battles
27.7%
Basculegion
Basculegion56 recorded pair observations · 0.20 pair observations per 100 analyzed battles
28.6%
Lucario
Lucario72 recorded pair observations · 0.26 pair observations per 100 analyzed battles
29.2%
Meowscarada
Meowscarada57 recorded pair observations · 0.21 pair observations per 100 analyzed battles
29.8%