Last Updated: 10/26/2026 11:07 [UTC]

Sneasler

Tier D

BSS Regulation M-C (Pokemon Champions)

6.45%Usage Rate
48.11%Win Rate
11.26%Lead Rate
33.64%Selection Rate
1177Avg Rating

3234 recorded team appearances · 1556 wins · 1678 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 531 of 3234 distinct recorded team appearances (16.4%) 298 winning team uses of 531 recorded team uses
56.1%
Dire Claw Recorded use in 478 of 3234 distinct recorded team appearances (14.8%) 268 winning team uses of 478 recorded team uses
56.1%
Fake Out Recorded use in 360 of 3234 distinct recorded team appearances (11.1%) 172 winning team uses of 360 recorded team uses
47.8%
Swords Dance Recorded use in 216 of 3234 distinct recorded team appearances (6.7%) 113 winning team uses of 216 recorded team uses
52.3%
Throat Chop Recorded use in 146 of 3234 distinct recorded team appearances (4.5%) 75 winning team uses of 146 recorded team uses
51.4%
Acrobatics Recorded use in 84 of 3234 distinct recorded team appearances (2.6%) 42 winning team uses of 84 recorded team uses
50.0%
Gunk Shot Recorded use in 31 of 3234 distinct recorded team appearances (1.0%) 14 winning team uses of 31 recorded team uses
45.2%
Rock Slide Recorded use in 26 of 3234 distinct recorded team appearances (0.8%) 14 winning team uses of 26 recorded team uses
53.8%
Fire Punch Recorded use in 24 of 3234 distinct recorded team appearances (0.7%) 10 winning team uses of 24 recorded team uses
41.7%
Night Slash Recorded use in 21 of 3234 distinct recorded team appearances (0.6%) 9 winning team uses of 21 recorded team uses
42.9%

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 5.09 47.34 12542 638 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 7.07 49.94 12542 887 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 6.06 47.11 12542 760 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 7.57 47.73 12540 949 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 8.94 41.98 9968 891 Observed
~R1142 6.03 45.83 9958 600 Observed
~R1208 5.39 54.31 10104 545 Observed
~R1298 6.02 48.50 10004 602 Observed
R1298~ 5.88 53.52 10132 596 Observed

Sneasler Observed Statistics

Performance Metrics

Sneasler has a reported usage rate of 6.45% and win rate of 48.11% in BSS Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,556 wins and 1,678 losses (3,234 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 5.09% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 7.57% 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 +2.48 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 47.34% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=638 recorded appearances) and 47.73% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=949 recorded appearances), a change of +0.39 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 5.39% (~R1208; n=10,104 team slots) to 8.94% (~R1089; n=9,968 team slots), a spread of 3.55 percentage points. Overall usage was 6.45%. 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 (531; 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: Garchomp: 52.9% wins in 870 recorded pair observations; Indeedee: 50.8% wins in 768 recorded pair observations; Archaludon: 51.7% wins in 594 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: Annihilape: 64.7% wins in 34 recorded pair observations; Armarouge: 64.1% wins in 39 recorded pair observations; Incineroar: 60.8% wins in 97 recorded pair observations. Returned lower-win-rate opponent group: Sirfetch’d: 34.3% wins in 35 recorded pair observations; Vanilluxe: 37.8% wins in 45 recorded pair observations; Victreebel: 37.8% wins in 37 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%

Garchomp
Garchomp870 recorded pair observations · 3.47 pair observations per 100 analyzed battles
52.9%
Indeedee
Indeedee768 recorded pair observations · 3.06 pair observations per 100 analyzed battles
50.8%
Archaludon
Archaludon594 recorded pair observations · 2.37 pair observations per 100 analyzed battles
51.7%
Blastoise
Blastoise578 recorded pair observations · 2.30 pair observations per 100 analyzed battles
53.5%
Raichu
Raichu499 recorded pair observations · 1.99 pair observations per 100 analyzed battles
50.9%
Corviknight
Corviknight467 recorded pair observations · 1.86 pair observations per 100 analyzed battles
46.9%
Salamence
Salamence460 recorded pair observations · 1.83 pair observations per 100 analyzed battles
48.0%
Golisopod
Golisopod449 recorded pair observations · 1.79 pair observations per 100 analyzed battles
45.7%
Lucario
Lucario404 recorded pair observations · 1.61 pair observations per 100 analyzed battles
49.8%
Primarina
Primarina399 recorded pair observations · 1.59 pair observations per 100 analyzed battles
52.1%
Basculegion
Basculegion334 recorded pair observations · 1.33 pair observations per 100 analyzed battles
44.0%
Charizard
Charizard322 recorded pair observations · 1.28 pair observations per 100 analyzed battles
49.4%
Mimikyu
Mimikyu311 recorded pair observations · 1.24 pair observations per 100 analyzed battles
57.6%
Rillaboom
Rillaboom306 recorded pair observations · 1.22 pair observations per 100 analyzed battles
40.9%
Samurott-Hisui
Samurott-Hisui294 recorded pair observations · 1.17 pair observations per 100 analyzed battles
51.0%
Starmie
Starmie292 recorded pair observations · 1.16 pair observations per 100 analyzed battles
57.5%
Ceruledge
Ceruledge272 recorded pair observations · 1.08 pair observations per 100 analyzed battles
51.8%
Gholdengo
Gholdengo265 recorded pair observations · 1.06 pair observations per 100 analyzed battles
46.4%
Kingambit
Kingambit258 recorded pair observations · 1.03 pair observations per 100 analyzed battles
44.2%
Meowscarada
Meowscarada251 recorded pair observations · 1.00 pair observations per 100 analyzed battles
52.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1050 recorded pair observations · 4.19 pair observations per 100 analyzed battles
44.9%
Primarina
Primarina748 recorded pair observations · 2.98 pair observations per 100 analyzed battles
43.2%
Archaludon
Archaludon602 recorded pair observations · 2.40 pair observations per 100 analyzed battles
48.0%
Hippowdon
Hippowdon599 recorded pair observations · 2.39 pair observations per 100 analyzed battles
45.9%
Mimikyu
Mimikyu551 recorded pair observations · 2.20 pair observations per 100 analyzed battles
43.7%
Gholdengo
Gholdengo542 recorded pair observations · 2.16 pair observations per 100 analyzed battles
44.5%
Salamence
Salamence503 recorded pair observations · 2.01 pair observations per 100 analyzed battles
49.7%
Golisopod
Golisopod479 recorded pair observations · 1.91 pair observations per 100 analyzed battles
43.6%
Corviknight
Corviknight471 recorded pair observations · 1.88 pair observations per 100 analyzed battles
43.5%
Basculegion
Basculegion432 recorded pair observations · 1.72 pair observations per 100 analyzed battles
50.5%
Lucario
Lucario410 recorded pair observations · 1.63 pair observations per 100 analyzed battles
51.2%
Kingambit
Kingambit393 recorded pair observations · 1.57 pair observations per 100 analyzed battles
52.4%
Charizard
Charizard384 recorded pair observations · 1.53 pair observations per 100 analyzed battles
42.5%
Baxcalibur
Baxcalibur350 recorded pair observations · 1.40 pair observations per 100 analyzed battles
47.1%
Metagross
Metagross314 recorded pair observations · 1.25 pair observations per 100 analyzed battles
41.1%
Dragonite
Dragonite310 recorded pair observations · 1.24 pair observations per 100 analyzed battles
47.4%
Meowscarada
Meowscarada309 recorded pair observations · 1.23 pair observations per 100 analyzed battles
46.3%
Clefable
Clefable291 recorded pair observations · 1.16 pair observations per 100 analyzed battles
50.9%
Rillaboom
Rillaboom287 recorded pair observations · 1.14 pair observations per 100 analyzed battles
47.7%
Floette-Eternal
Floette-Eternal270 recorded pair observations · 1.08 pair observations per 100 analyzed battles
48.5%

Higher Win-rate Partners

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

Orthworm
Orthworm33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
72.7%
Forretress
Forretress39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
66.7%
Meganium
Meganium154 recorded pair observations · 0.61 pair observations per 100 analyzed battles
61.0%
Blaziken
Blaziken210 recorded pair observations · 0.84 pair observations per 100 analyzed battles
60.5%
Greninja
Greninja109 recorded pair observations · 0.43 pair observations per 100 analyzed battles
58.7%
Kleavor
Kleavor130 recorded pair observations · 0.52 pair observations per 100 analyzed battles
58.5%
Mawile
Mawile72 recorded pair observations · 0.29 pair observations per 100 analyzed battles
58.3%
Ditto
Ditto217 recorded pair observations · 0.87 pair observations per 100 analyzed battles
58.1%
Mimikyu
Mimikyu311 recorded pair observations · 1.24 pair observations per 100 analyzed battles
57.6%
Glalie
Glalie40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
57.5%

Lower Win-rate Partners

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

Farigiraf
Farigiraf34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
8.8%
Sylveon
Sylveon42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
23.8%
Incineroar
Incineroar102 recorded pair observations · 0.41 pair observations per 100 analyzed battles
24.5%
Basculegion-F
Basculegion-F40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
25.0%
Milotic
Milotic51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
25.5%
Excadrill
Excadrill88 recorded pair observations · 0.35 pair observations per 100 analyzed battles
29.6%
Gardevoir
Gardevoir65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
30.8%
Overqwil
Overqwil39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
30.8%
Tyranitar
Tyranitar78 recorded pair observations · 0.31 pair observations per 100 analyzed battles
30.8%
Indeedee-F
Indeedee-F162 recorded pair observations · 0.65 pair observations per 100 analyzed battles
30.9%

Higher Win-rate Opponent Teams

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

Annihilape
Annihilape34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
64.7%
Armarouge
Armarouge39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
64.1%
Incineroar
Incineroar97 recorded pair observations · 0.39 pair observations per 100 analyzed battles
60.8%
Indeedee-F
Indeedee-F45 recorded pair observations · 0.18 pair observations per 100 analyzed battles
60.0%
Whimsicott
Whimsicott46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
58.7%
Mawile
Mawile43 recorded pair observations · 0.17 pair observations per 100 analyzed battles
58.1%
Barbaracle
Barbaracle155 recorded pair observations · 0.62 pair observations per 100 analyzed battles
56.8%
Gardevoir
Gardevoir44 recorded pair observations · 0.18 pair observations per 100 analyzed battles
56.8%
Ditto
Ditto94 recorded pair observations · 0.37 pair observations per 100 analyzed battles
56.4%
Espathra
Espathra98 recorded pair observations · 0.39 pair observations per 100 analyzed battles
55.1%

Lower Win-rate Opponent Teams

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

Sirfetch’d
Sirfetch’d35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
34.3%
Vanilluxe
Vanilluxe45 recorded pair observations · 0.18 pair observations per 100 analyzed battles
37.8%
Victreebel
Victreebel37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
37.8%
Milotic
Milotic37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
40.5%
Altaria
Altaria32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
40.6%
Empoleon
Empoleon56 recorded pair observations · 0.22 pair observations per 100 analyzed battles
41.1%
Metagross
Metagross314 recorded pair observations · 1.25 pair observations per 100 analyzed battles
41.1%
Snorlax
Snorlax46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
41.3%
Bellibolt
Bellibolt77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
41.6%
Toxapex
Toxapex231 recorded pair observations · 0.92 pair observations per 100 analyzed battles
42.0%