Last Updated: 10/26/2026 11:03 [UTC]

Pawmot

Tier C

BSS Regulation M-C (Pokemon Champions)

4.67%Usage Rate
52.05%Win Rate
4.27%Lead Rate
49.79%Selection Rate
1205Avg Rating

2342 recorded team appearances · 1219 wins · 1123 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Revival Blessing Recorded use in 616 of 2342 distinct recorded team appearances (26.3%) 313 winning team uses of 616 recorded team uses
50.8%
Double Shock Recorded use in 530 of 2342 distinct recorded team appearances (22.6%) 288 winning team uses of 530 recorded team uses
54.3%
Ice Punch Recorded use in 284 of 2342 distinct recorded team appearances (12.1%) 148 winning team uses of 284 recorded team uses
52.1%
Close Combat Recorded use in 207 of 2342 distinct recorded team appearances (8.8%) 108 winning team uses of 207 recorded team uses
52.2%
Mach Punch Recorded use in 203 of 2342 distinct recorded team appearances (8.7%) 105 winning team uses of 203 recorded team uses
51.7%
Nuzzle Recorded use in 64 of 2342 distinct recorded team appearances (2.7%) 32 winning team uses of 64 recorded team uses
50.0%
Fake Out Recorded use in 29 of 2342 distinct recorded team appearances (1.2%) 16 winning team uses of 29 recorded team uses
55.2%
Fire Punch Recorded use in 17 of 2342 distinct recorded team appearances (0.7%) 6 winning team uses of 17 recorded team uses
35.3%
Volt Switch Recorded use in 17 of 2342 distinct recorded team appearances (0.7%) 4 winning team uses of 17 recorded team uses
23.5%
Thunder Punch Recorded use in 14 of 2342 distinct recorded team appearances (0.6%) 7 winning team uses of 14 recorded team uses
50.0%

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 5.30 53.98 12542 665 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 5.10 49.84 12542 640 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 3.87 51.55 12542 485 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 4.40 52.72 12540 552 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 4.08 58.48 9968 407 Observed
~R1142 4.27 49.88 9958 425 Observed
~R1208 4.56 50.33 10104 461 Observed
~R1298 5.23 56.02 10004 523 Observed
R1298~ 5.19 46.39 10132 526 Observed

Pawmot Observed Statistics

Performance Metrics

Pawmot has a reported usage rate of 4.67% and win rate of 52.05% in BSS Regulation M-C (Pokemon Champions) (displayed tier: C). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,219 wins and 1,123 losses (2,342 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 5.30% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 4.40% 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 -0.90 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 53.98% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=665 recorded appearances) and 52.72% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=552 recorded appearances), a change of -1.26 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 4.08% (~R1089; n=9,968 team slots) to 5.23% (~R1298; n=10,004 team slots), a spread of 1.15 percentage points. Overall usage was 4.67%. 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, Revival Blessing has the largest recorded team-use count (616; 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: Basculegion: 56.0% wins in 1,040 recorded pair observations; Banette: 56.8% wins in 740 recorded pair observations; Garchomp: 52.1% wins in 626 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: Gardevoir: 76.9% wins in 26 recorded pair observations; Incineroar: 76.4% wins in 55 recorded pair observations; Pincurchin: 72.4% wins in 29 recorded pair observations. Returned lower-win-rate opponent group: Polteageist: 36.0% wins in 25 recorded pair observations; Scovillain: 37.9% wins in 29 recorded pair observations; Samurott-Hisui: 39.7% wins in 116 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%

Basculegion
Basculegion1040 recorded pair observations · 4.15 pair observations per 100 analyzed battles
56.0%
Banette
Banette740 recorded pair observations · 2.95 pair observations per 100 analyzed battles
56.8%
Garchomp
Garchomp626 recorded pair observations · 2.50 pair observations per 100 analyzed battles
52.1%
Archaludon
Archaludon501 recorded pair observations · 2.00 pair observations per 100 analyzed battles
57.5%
Golisopod
Golisopod415 recorded pair observations · 1.65 pair observations per 100 analyzed battles
53.7%
Primarina
Primarina376 recorded pair observations · 1.50 pair observations per 100 analyzed battles
49.7%
Kingambit
Kingambit337 recorded pair observations · 1.34 pair observations per 100 analyzed battles
59.4%
Salamence
Salamence255 recorded pair observations · 1.02 pair observations per 100 analyzed battles
52.5%
Lucario
Lucario241 recorded pair observations · 0.96 pair observations per 100 analyzed battles
49.8%
Indeedee
Indeedee223 recorded pair observations · 0.89 pair observations per 100 analyzed battles
45.7%
Pelipper
Pelipper218 recorded pair observations · 0.87 pair observations per 100 analyzed battles
59.2%
Corviknight
Corviknight199 recorded pair observations · 0.79 pair observations per 100 analyzed battles
51.8%
Dragonite
Dragonite190 recorded pair observations · 0.76 pair observations per 100 analyzed battles
50.0%
Swampert
Swampert182 recorded pair observations · 0.73 pair observations per 100 analyzed battles
62.6%
Excadrill
Excadrill179 recorded pair observations · 0.71 pair observations per 100 analyzed battles
54.8%
Rillaboom
Rillaboom179 recorded pair observations · 0.71 pair observations per 100 analyzed battles
56.4%
Sylveon
Sylveon174 recorded pair observations · 0.69 pair observations per 100 analyzed battles
49.4%
Victreebel
Victreebel167 recorded pair observations · 0.67 pair observations per 100 analyzed battles
63.5%
Staraptor
Staraptor164 recorded pair observations · 0.65 pair observations per 100 analyzed battles
55.5%
Sneasler
Sneasler157 recorded pair observations · 0.63 pair observations per 100 analyzed battles
46.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp780 recorded pair observations · 3.11 pair observations per 100 analyzed battles
49.5%
Primarina
Primarina537 recorded pair observations · 2.14 pair observations per 100 analyzed battles
49.2%
Hippowdon
Hippowdon473 recorded pair observations · 1.89 pair observations per 100 analyzed battles
48.0%
Archaludon
Archaludon460 recorded pair observations · 1.83 pair observations per 100 analyzed battles
50.0%
Mimikyu
Mimikyu455 recorded pair observations · 1.81 pair observations per 100 analyzed battles
50.8%
Gholdengo
Gholdengo453 recorded pair observations · 1.81 pair observations per 100 analyzed battles
53.4%
Corviknight
Corviknight383 recorded pair observations · 1.53 pair observations per 100 analyzed battles
44.9%
Salamence
Salamence360 recorded pair observations · 1.44 pair observations per 100 analyzed battles
51.4%
Golisopod
Golisopod355 recorded pair observations · 1.42 pair observations per 100 analyzed battles
47.9%
Basculegion
Basculegion321 recorded pair observations · 1.28 pair observations per 100 analyzed battles
51.4%
Lucario
Lucario313 recorded pair observations · 1.25 pair observations per 100 analyzed battles
47.3%
Charizard
Charizard292 recorded pair observations · 1.16 pair observations per 100 analyzed battles
47.6%
Baxcalibur
Baxcalibur289 recorded pair observations · 1.15 pair observations per 100 analyzed battles
47.1%
Dragonite
Dragonite266 recorded pair observations · 1.06 pair observations per 100 analyzed battles
53.4%
Metagross
Metagross260 recorded pair observations · 1.04 pair observations per 100 analyzed battles
45.8%
Meowscarada
Meowscarada221 recorded pair observations · 0.88 pair observations per 100 analyzed battles
48.0%
Kingambit
Kingambit211 recorded pair observations · 0.84 pair observations per 100 analyzed battles
51.2%
Floette-Eternal
Floette-Eternal206 recorded pair observations · 0.82 pair observations per 100 analyzed battles
49.5%
Clefable
Clefable201 recorded pair observations · 0.80 pair observations per 100 analyzed battles
51.7%
Rillaboom
Rillaboom201 recorded pair observations · 0.80 pair observations per 100 analyzed battles
57.7%

Higher Win-rate Partners

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

Orthworm
Orthworm47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
66.0%
Ditto
Ditto39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
64.1%
Victreebel
Victreebel167 recorded pair observations · 0.67 pair observations per 100 analyzed battles
63.5%
Glimmora
Glimmora76 recorded pair observations · 0.30 pair observations per 100 analyzed battles
63.2%
Clefable
Clefable91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
62.6%
Swampert
Swampert182 recorded pair observations · 0.73 pair observations per 100 analyzed battles
62.6%
Sharpedo
Sharpedo45 recorded pair observations · 0.18 pair observations per 100 analyzed battles
62.2%
Greninja
Greninja58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
62.1%
Charizard
Charizard56 recorded pair observations · 0.22 pair observations per 100 analyzed battles
60.7%
Delphox
Delphox99 recorded pair observations · 0.39 pair observations per 100 analyzed battles
59.6%

Lower Win-rate Partners

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

Ceruledge
Ceruledge24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
29.2%
Dragalge
Dragalge36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
33.3%
Rotom-Wash
Rotom-Wash69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
33.3%
Grimmsnarl
Grimmsnarl29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
34.5%
Umbreon
Umbreon37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
37.8%
Pikachu
Pikachu63 recorded pair observations · 0.25 pair observations per 100 analyzed battles
38.1%
Metagross
Metagross35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
40.0%
Palafin
Palafin25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
40.0%
Raichu
Raichu100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
41.0%
Lopunny
Lopunny29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.4%

Higher Win-rate Opponent Teams

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

Gardevoir
Gardevoir26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
76.9%
Incineroar
Incineroar55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
76.4%
Pincurchin
Pincurchin29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
72.4%
Annihilape
Annihilape24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
70.8%
Araquanid
Araquanid52 recorded pair observations · 0.21 pair observations per 100 analyzed battles
67.3%
Indeedee-F
Indeedee-F35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
65.7%
Eelektross
Eelektross29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
65.5%
Espathra
Espathra72 recorded pair observations · 0.29 pair observations per 100 analyzed battles
65.3%
Ampharos
Ampharos28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
64.3%
Froslass
Froslass25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
64.0%

Lower Win-rate Opponent Teams

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

Polteageist
Polteageist25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
36.0%
Scovillain
Scovillain29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
37.9%
Samurott-Hisui
Samurott-Hisui116 recorded pair observations · 0.46 pair observations per 100 analyzed battles
39.7%
Venusaur
Venusaur87 recorded pair observations · 0.35 pair observations per 100 analyzed battles
41.4%
Glimmora
Glimmora193 recorded pair observations · 0.77 pair observations per 100 analyzed battles
41.5%
Mamoswine
Mamoswine33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
42.4%
Vanilluxe
Vanilluxe35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.9%
Tinkaton
Tinkaton39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.6%
Ditto
Ditto68 recorded pair observations · 0.27 pair observations per 100 analyzed battles
44.1%
Corviknight
Corviknight383 recorded pair observations · 1.53 pair observations per 100 analyzed battles
44.9%