Last Updated: 10/26/2026 11:06 [UTC]

Sneasler

Tier A

VGC 2026 Regulation M-C (Pokemon Champions)

30.47%Usage Rate
51.22%Win Rate
36.29%Lead Rate
61.71%Selection Rate
1294Avg Rating

196177 recorded team appearances · 100478 wins · 95699 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Close Combat Recorded use in 60650 of 196186 distinct recorded team appearances (30.9%) 33509 winning team uses of 60650 recorded team uses
55.2%
Dire Claw Recorded use in 44272 of 196186 distinct recorded team appearances (22.6%) 23973 winning team uses of 44272 recorded team uses
54.1%
Fake Out Recorded use in 28230 of 196186 distinct recorded team appearances (14.4%) 14625 winning team uses of 28230 recorded team uses
51.8%
Protect Recorded use in 27474 of 196186 distinct recorded team appearances (14.0%) 13560 winning team uses of 27474 recorded team uses
49.4%
Rock Slide Recorded use in 13767 of 196186 distinct recorded team appearances (7.0%) 7337 winning team uses of 13767 recorded team uses
53.3%
Coaching Recorded use in 5301 of 196186 distinct recorded team appearances (2.7%) 2626 winning team uses of 5301 recorded team uses
49.5%
Swords Dance Recorded use in 4897 of 196186 distinct recorded team appearances (2.5%) 2651 winning team uses of 4897 recorded team uses
54.1%
Throat Chop Recorded use in 4307 of 196186 distinct recorded team appearances (2.2%) 2181 winning team uses of 4307 recorded team uses
50.6%
Poison Jab Recorded use in 3855 of 196186 distinct recorded team appearances (2.0%) 2107 winning team uses of 3855 recorded team uses
54.7%
Rock Tomb Recorded use in 2383 of 196186 distinct recorded team appearances (1.2%) 1249 winning team uses of 2383 recorded team uses
52.4%

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: 2026/10/12 11:01–2026/10/16 00:34 UTC 29.54 50.68 160964 47551 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 30.81 51.14 160962 49590 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:24 UTC 31.71 51.34 160962 51046 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 29.81 51.71 160962 47990 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 26.17 52.72 128104 33520 Observed
~R1208 28.39 51.43 129166 36665 Observed
~R1302 30.84 51.27 126962 39157 Observed
~R1405 32.81 50.73 130626 42860 Observed
R1405~ 34.09 50.32 128992 43975 Observed

Sneasler Observed Statistics

Performance Metrics

Sneasler has a reported usage rate of 30.47% and win rate of 51.22% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: A). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,925 recorded battles. 100,478 wins and 95,699 losses (196,177 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 29.54% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,964 team slots) and 29.81% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,962 team slots), a change of +0.27 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 50.68% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=47,551 recorded appearances) and 51.71% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=47,990 recorded appearances), a change of +1.03 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 26.17% (~R1129; n=128,104 team slots) to 34.09% (R1405~; n=128,992 team slots), a spread of 7.92 percentage points. Overall usage was 30.47%. 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, Close Combat has the largest recorded team-use count (60,650; 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: 51.2% wins in 60,196 recorded pair observations; Kingambit: 53.1% wins in 50,171 recorded pair observations; Indeedee-F: 50.1% wins in 43,937 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: Clefable: 58.3% wins in 2,718 recorded pair observations; Maushold: 57.7% wins in 3,945 recorded pair observations; Rotom-Wash: 56.5% wins in 3,668 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 44.4% wins in 9,384 recorded pair observations; Golisopod: 47.6% wins in 28,818 recorded pair observations; Archaludon: 48.1% wins in 38,867 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
Rillaboom60196 recorded pair observations · 18.70 pair observations per 100 analyzed battles
51.2%
Kingambit
Kingambit50171 recorded pair observations · 15.58 pair observations per 100 analyzed battles
53.1%
Indeedee-F
Indeedee-F43937 recorded pair observations · 13.65 pair observations per 100 analyzed battles
50.1%
Garchomp
Garchomp42735 recorded pair observations · 13.27 pair observations per 100 analyzed battles
52.0%
Raichu
Raichu40279 recorded pair observations · 12.51 pair observations per 100 analyzed battles
52.4%
Incineroar
Incineroar38303 recorded pair observations · 11.90 pair observations per 100 analyzed battles
50.6%
Pelipper
Pelipper37826 recorded pair observations · 11.75 pair observations per 100 analyzed battles
54.1%
Salamence
Salamence37625 recorded pair observations · 11.69 pair observations per 100 analyzed battles
52.1%
Archaludon
Archaludon33438 recorded pair observations · 10.39 pair observations per 100 analyzed battles
54.7%
Golisopod
Golisopod32118 recorded pair observations · 9.98 pair observations per 100 analyzed battles
54.4%
Basculegion
Basculegion31565 recorded pair observations · 9.81 pair observations per 100 analyzed battles
52.4%
Charizard
Charizard24468 recorded pair observations · 7.60 pair observations per 100 analyzed battles
50.6%
Indeedee
Indeedee24264 recorded pair observations · 7.54 pair observations per 100 analyzed battles
50.3%
Tyranitar
Tyranitar24210 recorded pair observations · 7.52 pair observations per 100 analyzed battles
50.9%
Floette-Eternal
Floette-Eternal23758 recorded pair observations · 7.38 pair observations per 100 analyzed battles
52.8%
Gholdengo
Gholdengo20369 recorded pair observations · 6.33 pair observations per 100 analyzed battles
50.5%
Basculegion-F
Basculegion-F20360 recorded pair observations · 6.32 pair observations per 100 analyzed battles
56.4%
Gardevoir
Gardevoir19312 recorded pair observations · 6.00 pair observations per 100 analyzed battles
51.3%
Excadrill
Excadrill18939 recorded pair observations · 5.88 pair observations per 100 analyzed battles
51.0%
Whimsicott
Whimsicott17636 recorded pair observations · 5.48 pair observations per 100 analyzed battles
48.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom61755 recorded pair observations · 19.18 pair observations per 100 analyzed battles
51.0%
Sneasler
Sneasler60040 recorded pair observations · 18.65 pair observations per 100 analyzed battles
50.0%
Incineroar
Incineroar53826 recorded pair observations · 16.72 pair observations per 100 analyzed battles
51.3%
Garchomp
Garchomp52462 recorded pair observations · 16.30 pair observations per 100 analyzed battles
50.1%
Archaludon
Archaludon38867 recorded pair observations · 12.07 pair observations per 100 analyzed battles
48.1%
Raichu
Raichu37354 recorded pair observations · 11.60 pair observations per 100 analyzed battles
50.2%
Charizard
Charizard34353 recorded pair observations · 10.67 pair observations per 100 analyzed battles
49.8%
Kingambit
Kingambit34176 recorded pair observations · 10.62 pair observations per 100 analyzed battles
49.4%
Indeedee-F
Indeedee-F34132 recorded pair observations · 10.60 pair observations per 100 analyzed battles
51.6%
Farigiraf
Farigiraf33305 recorded pair observations · 10.35 pair observations per 100 analyzed battles
49.4%
Pelipper
Pelipper33136 recorded pair observations · 10.29 pair observations per 100 analyzed battles
48.5%
Golisopod
Golisopod28818 recorded pair observations · 8.95 pair observations per 100 analyzed battles
47.6%
Gholdengo
Gholdengo25589 recorded pair observations · 7.95 pair observations per 100 analyzed battles
51.1%
Whimsicott
Whimsicott23589 recorded pair observations · 7.33 pair observations per 100 analyzed battles
53.4%
Basculegion
Basculegion23474 recorded pair observations · 7.29 pair observations per 100 analyzed battles
50.5%
Salamence
Salamence21930 recorded pair observations · 6.81 pair observations per 100 analyzed battles
49.7%
Tyranitar
Tyranitar19022 recorded pair observations · 5.91 pair observations per 100 analyzed battles
50.5%
Sinistcha
Sinistcha18101 recorded pair observations · 5.62 pair observations per 100 analyzed battles
52.5%
Sylveon
Sylveon17160 recorded pair observations · 5.33 pair observations per 100 analyzed battles
49.1%
Volcarona
Volcarona17081 recorded pair observations · 5.31 pair observations per 100 analyzed battles
52.2%

Higher Win-rate Partners

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

Basculegion-F
Basculegion-F20360 recorded pair observations · 6.32 pair observations per 100 analyzed battles
56.4%
Archaludon
Archaludon33438 recorded pair observations · 10.39 pair observations per 100 analyzed battles
54.7%
Swampert
Swampert6364 recorded pair observations · 1.98 pair observations per 100 analyzed battles
54.6%
Golisopod
Golisopod32118 recorded pair observations · 9.98 pair observations per 100 analyzed battles
54.4%
Pelipper
Pelipper37826 recorded pair observations · 11.75 pair observations per 100 analyzed battles
54.1%
Delphox
Delphox11274 recorded pair observations · 3.50 pair observations per 100 analyzed battles
53.4%
Meganium
Meganium2680 recorded pair observations · 0.83 pair observations per 100 analyzed battles
53.3%
Kingambit
Kingambit50171 recorded pair observations · 15.58 pair observations per 100 analyzed battles
53.1%
Floette-Eternal
Floette-Eternal23758 recorded pair observations · 7.38 pair observations per 100 analyzed battles
52.8%
Scovillain
Scovillain2480 recorded pair observations · 0.77 pair observations per 100 analyzed battles
52.6%

Lower Win-rate Partners

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

Annihilape
Annihilape3148 recorded pair observations · 0.98 pair observations per 100 analyzed battles
44.7%
Maushold
Maushold2132 recorded pair observations · 0.66 pair observations per 100 analyzed battles
45.6%
Lucario
Lucario3500 recorded pair observations · 1.09 pair observations per 100 analyzed battles
45.7%
Sableye
Sableye2463 recorded pair observations · 0.77 pair observations per 100 analyzed battles
46.7%
Typhlosion-Hisui
Typhlosion-Hisui4416 recorded pair observations · 1.37 pair observations per 100 analyzed battles
46.7%
Absol
Absol3756 recorded pair observations · 1.17 pair observations per 100 analyzed battles
47.0%
Alakazam
Alakazam2529 recorded pair observations · 0.79 pair observations per 100 analyzed battles
47.0%
Rotom-Wash
Rotom-Wash2996 recorded pair observations · 0.93 pair observations per 100 analyzed battles
47.7%
Sceptile
Sceptile5550 recorded pair observations · 1.72 pair observations per 100 analyzed battles
47.7%
Gengar
Gengar4960 recorded pair observations · 1.54 pair observations per 100 analyzed battles
47.8%

Higher Win-rate Opponent Teams

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

Clefable
Clefable2718 recorded pair observations · 0.84 pair observations per 100 analyzed battles
58.3%
Maushold
Maushold3945 recorded pair observations · 1.23 pair observations per 100 analyzed battles
57.7%
Rotom-Wash
Rotom-Wash3668 recorded pair observations · 1.14 pair observations per 100 analyzed battles
56.5%
Lucario
Lucario5932 recorded pair observations · 1.84 pair observations per 100 analyzed battles
56.1%
Sceptile
Sceptile3720 recorded pair observations · 1.16 pair observations per 100 analyzed battles
56.1%
Tsareena
Tsareena2583 recorded pair observations · 0.80 pair observations per 100 analyzed battles
55.6%
Gliscor
Gliscor2195 recorded pair observations · 0.68 pair observations per 100 analyzed battles
55.5%
Alakazam
Alakazam2838 recorded pair observations · 0.88 pair observations per 100 analyzed battles
55.4%
Meowscarada
Meowscarada2244 recorded pair observations · 0.70 pair observations per 100 analyzed battles
55.4%
Talonflame
Talonflame4805 recorded pair observations · 1.49 pair observations per 100 analyzed battles
55.3%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F9384 recorded pair observations · 2.91 pair observations per 100 analyzed battles
44.4%
Golisopod
Golisopod28818 recorded pair observations · 8.95 pair observations per 100 analyzed battles
47.6%
Archaludon
Archaludon38867 recorded pair observations · 12.07 pair observations per 100 analyzed battles
48.1%
Camerupt
Camerupt5130 recorded pair observations · 1.59 pair observations per 100 analyzed battles
48.1%
Swampert
Swampert8725 recorded pair observations · 2.71 pair observations per 100 analyzed battles
48.1%
Pelipper
Pelipper33136 recorded pair observations · 10.29 pair observations per 100 analyzed battles
48.5%
Sylveon
Sylveon17160 recorded pair observations · 5.33 pair observations per 100 analyzed battles
49.1%
Venusaur
Venusaur15393 recorded pair observations · 4.78 pair observations per 100 analyzed battles
49.3%
Armarouge
Armarouge8856 recorded pair observations · 2.75 pair observations per 100 analyzed battles
49.4%
Farigiraf
Farigiraf33305 recorded pair observations · 10.35 pair observations per 100 analyzed battles
49.4%