Last Updated: 10/26/2026 11:08 [UTC]

Pawmot

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.71%Usage Rate
47.31%Win Rate
25.57%Lead Rate
57.75%Selection Rate
1249Avg Rating

11013 recorded team appearances · 5210 wins · 5803 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Double Shock Recorded use in 2473 of 11014 distinct recorded team appearances (22.5%) 1318 winning team uses of 2473 recorded team uses
53.3%
Close Combat Recorded use in 2260 of 11014 distinct recorded team appearances (20.5%) 1197 winning team uses of 2260 recorded team uses
53.0%
Fake Out Recorded use in 2084 of 11014 distinct recorded team appearances (18.9%) 999 winning team uses of 2084 recorded team uses
47.9%
Revival Blessing Recorded use in 1680 of 11014 distinct recorded team appearances (15.3%) 786 winning team uses of 1680 recorded team uses
46.8%
Protect Recorded use in 636 of 11014 distinct recorded team appearances (5.8%) 281 winning team uses of 636 recorded team uses
44.2%
Coaching Recorded use in 301 of 11014 distinct recorded team appearances (2.7%) 151 winning team uses of 301 recorded team uses
50.2%
Ice Punch Recorded use in 279 of 11014 distinct recorded team appearances (2.5%) 148 winning team uses of 279 recorded team uses
53.0%
Thunder Punch Recorded use in 118 of 11014 distinct recorded team appearances (1.1%) 48 winning team uses of 118 recorded team uses
40.7%
Mach Punch Recorded use in 102 of 11014 distinct recorded team appearances (0.9%) 34 winning team uses of 102 recorded team uses
33.3%
Volt Switch Recorded use in 71 of 11014 distinct recorded team appearances (0.6%) 30 winning team uses of 71 recorded team uses
42.3%

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 1.76 47.08 160968 2827 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 1.87 48.04 160966 3010 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 1.57 47.39 160966 2524 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 1.65 46.64 160966 2652 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 2.27 45.31 128104 2913 Observed
~R1208 1.75 46.05 129182 2265 Observed
~R1302 1.65 51.07 126962 2095 Observed
~R1405 1.52 46.96 130626 1987 Observed
R1405~ 1.36 48.15 128992 1753 Observed

Pawmot Observed Statistics

Performance Metrics

Pawmot has a reported usage rate of 1.71% and win rate of 47.31% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 5,210 wins and 5,803 losses (11,013 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 1.76% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 1.65% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 team slots), a change of -0.11 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 47.08% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=2,827 recorded appearances) and 46.64% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=2,652 recorded appearances), a change of -0.44 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 1.36% (R1405~; n=128,992 team slots) to 2.27% (~R1129; n=128,104 team slots), a spread of 0.91 percentage points. Overall usage was 1.71%. 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, Double Shock has the largest recorded team-use count (2,473; 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: Rillaboom: 49.7% wins in 2,650 recorded pair observations; Incineroar: 50.8% wins in 2,513 recorded pair observations; Farigiraf: 50.3% wins in 2,049 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: Sableye: 53.6% wins in 308 recorded pair observations; Dragapult: 52.7% wins in 317 recorded pair observations; Lucario: 51.5% wins in 344 recorded pair observations. Returned lower-win-rate opponent group: Armarouge: 39.7% wins in 494 recorded pair observations; Basculegion-F: 40.6% wins in 473 recorded pair observations; Delphox: 43.4% wins in 362 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%

Rillaboom
Rillaboom2650 recorded pair observations · 0.82 pair observations per 100 analyzed battles
49.7%
Incineroar
Incineroar2513 recorded pair observations · 0.78 pair observations per 100 analyzed battles
50.8%
Farigiraf
Farigiraf2049 recorded pair observations · 0.64 pair observations per 100 analyzed battles
50.3%
Golisopod
Golisopod1949 recorded pair observations · 0.61 pair observations per 100 analyzed battles
50.6%
Kingambit
Kingambit1839 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.8%
Indeedee-F
Indeedee-F1711 recorded pair observations · 0.53 pair observations per 100 analyzed battles
48.3%
Sinistcha
Sinistcha1541 recorded pair observations · 0.48 pair observations per 100 analyzed battles
49.3%
Garchomp
Garchomp1449 recorded pair observations · 0.45 pair observations per 100 analyzed battles
50.7%
Basculegion
Basculegion1370 recorded pair observations · 0.43 pair observations per 100 analyzed battles
46.9%
Whimsicott
Whimsicott1140 recorded pair observations · 0.35 pair observations per 100 analyzed battles
44.8%
Gengar
Gengar1096 recorded pair observations · 0.34 pair observations per 100 analyzed battles
48.5%
Volcarona
Volcarona1061 recorded pair observations · 0.33 pair observations per 100 analyzed battles
51.5%
Gholdengo
Gholdengo1054 recorded pair observations · 0.33 pair observations per 100 analyzed battles
48.2%
Politoed
Politoed1048 recorded pair observations · 0.33 pair observations per 100 analyzed battles
51.0%
Pelipper
Pelipper1026 recorded pair observations · 0.32 pair observations per 100 analyzed battles
50.9%
Salamence
Salamence1020 recorded pair observations · 0.32 pair observations per 100 analyzed battles
49.0%
Staraptor
Staraptor955 recorded pair observations · 0.30 pair observations per 100 analyzed battles
50.2%
Archaludon
Archaludon875 recorded pair observations · 0.27 pair observations per 100 analyzed battles
50.1%
Froslass
Froslass779 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.5%
Metagross
Metagross776 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Sneasler
Sneasler3335 recorded pair observations · 1.04 pair observations per 100 analyzed battles
45.0%
Rillaboom
Rillaboom3311 recorded pair observations · 1.03 pair observations per 100 analyzed battles
47.1%
Incineroar
Incineroar2910 recorded pair observations · 0.90 pair observations per 100 analyzed battles
45.0%
Garchomp
Garchomp2812 recorded pair observations · 0.87 pair observations per 100 analyzed battles
45.5%
Archaludon
Archaludon2185 recorded pair observations · 0.68 pair observations per 100 analyzed battles
45.6%
Indeedee-F
Indeedee-F2008 recorded pair observations · 0.62 pair observations per 100 analyzed battles
46.7%
Raichu
Raichu1969 recorded pair observations · 0.61 pair observations per 100 analyzed battles
46.5%
Charizard
Charizard1879 recorded pair observations · 0.58 pair observations per 100 analyzed battles
46.8%
Pelipper
Pelipper1850 recorded pair observations · 0.57 pair observations per 100 analyzed battles
46.5%
Kingambit
Kingambit1841 recorded pair observations · 0.57 pair observations per 100 analyzed battles
46.5%
Farigiraf
Farigiraf1788 recorded pair observations · 0.56 pair observations per 100 analyzed battles
44.6%
Golisopod
Golisopod1619 recorded pair observations · 0.50 pair observations per 100 analyzed battles
46.0%
Gholdengo
Gholdengo1363 recorded pair observations · 0.42 pair observations per 100 analyzed battles
46.1%
Whimsicott
Whimsicott1351 recorded pair observations · 0.42 pair observations per 100 analyzed battles
46.7%
Basculegion
Basculegion1218 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.9%
Salamence
Salamence1187 recorded pair observations · 0.37 pair observations per 100 analyzed battles
47.5%
Sinistcha
Sinistcha1063 recorded pair observations · 0.33 pair observations per 100 analyzed battles
48.7%
Tyranitar
Tyranitar1020 recorded pair observations · 0.32 pair observations per 100 analyzed battles
49.1%
Milotic
Milotic980 recorded pair observations · 0.30 pair observations per 100 analyzed battles
49.3%
Volcarona
Volcarona930 recorded pair observations · 0.29 pair observations per 100 analyzed battles
44.1%

Higher Win-rate Partners

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

Primarina
Primarina727 recorded pair observations · 0.23 pair observations per 100 analyzed battles
53.2%
Blastoise
Blastoise580 recorded pair observations · 0.18 pair observations per 100 analyzed battles
52.1%
Delphox
Delphox643 recorded pair observations · 0.20 pair observations per 100 analyzed battles
52.1%
Chesnaught
Chesnaught307 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.5%
Froslass
Froslass779 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.5%
Volcarona
Volcarona1061 recorded pair observations · 0.33 pair observations per 100 analyzed battles
51.5%
Politoed
Politoed1048 recorded pair observations · 0.33 pair observations per 100 analyzed battles
51.0%
Pelipper
Pelipper1026 recorded pair observations · 0.32 pair observations per 100 analyzed battles
50.9%
Charizard
Charizard695 recorded pair observations · 0.22 pair observations per 100 analyzed battles
50.8%
Incineroar
Incineroar2513 recorded pair observations · 0.78 pair observations per 100 analyzed battles
50.8%

Lower Win-rate Partners

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

Glalie
Glalie687 recorded pair observations · 0.21 pair observations per 100 analyzed battles
35.7%
Raichu
Raichu571 recorded pair observations · 0.18 pair observations per 100 analyzed battles
41.3%
Lucario
Lucario449 recorded pair observations · 0.14 pair observations per 100 analyzed battles
41.9%
Sneasler
Sneasler525 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.3%
Noivern
Noivern486 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.8%
Hydreigon
Hydreigon339 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.2%
Tyranitar
Tyranitar350 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.3%
Talonflame
Talonflame592 recorded pair observations · 0.18 pair observations per 100 analyzed battles
44.6%
Whimsicott
Whimsicott1140 recorded pair observations · 0.35 pair observations per 100 analyzed battles
44.8%
Aerodactyl
Aerodactyl420 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.0%

Higher Win-rate Opponent Teams

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

Sableye
Sableye308 recorded pair observations · 0.10 pair observations per 100 analyzed battles
53.6%
Dragapult
Dragapult317 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.7%
Lucario
Lucario344 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.5%
Metagross
Metagross527 recorded pair observations · 0.16 pair observations per 100 analyzed battles
50.1%
Kommo-o
Kommo-o475 recorded pair observations · 0.15 pair observations per 100 analyzed battles
49.7%
Milotic
Milotic980 recorded pair observations · 0.30 pair observations per 100 analyzed battles
49.3%
Grimmsnarl
Grimmsnarl783 recorded pair observations · 0.24 pair observations per 100 analyzed battles
49.2%
Tyranitar
Tyranitar1020 recorded pair observations · 0.32 pair observations per 100 analyzed battles
49.1%
Gengar
Gengar555 recorded pair observations · 0.17 pair observations per 100 analyzed battles
49.0%
Dragonite
Dragonite501 recorded pair observations · 0.16 pair observations per 100 analyzed battles
48.7%

Lower Win-rate Opponent Teams

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

Armarouge
Armarouge494 recorded pair observations · 0.15 pair observations per 100 analyzed battles
39.7%
Basculegion-F
Basculegion-F473 recorded pair observations · 0.15 pair observations per 100 analyzed battles
40.6%
Delphox
Delphox362 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.4%
Floette-Eternal
Floette-Eternal755 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.6%
Froslass
Froslass502 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.8%
Volcarona
Volcarona930 recorded pair observations · 0.29 pair observations per 100 analyzed battles
44.1%
Farigiraf
Farigiraf1788 recorded pair observations · 0.56 pair observations per 100 analyzed battles
44.6%
Basculegion
Basculegion1218 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.9%
Gardevoir
Gardevoir746 recorded pair observations · 0.23 pair observations per 100 analyzed battles
44.9%
Incineroar
Incineroar2910 recorded pair observations · 0.90 pair observations per 100 analyzed battles
45.0%