Last Updated: 10/24/2026 11:04 [UTC]

Sableye

Tier E

BSS Regulation M-C (Pokemon Champions)

1.49%Usage Rate
41.84%Win Rate
13.87%Lead Rate
28.71%Selection Rate
1133Avg Rating

815 recorded team appearances · 341 wins · 474 losses · 10/10/2026–10/24/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Will-O-Wisp Recorded use in 76 of 815 distinct recorded team appearances (9.3%) 35 winning team uses of 76 recorded team uses
46.1%
Foul Play Recorded use in 72 of 815 distinct recorded team appearances (8.8%) 39 winning team uses of 72 recorded team uses
54.2%
Encore Recorded use in 56 of 815 distinct recorded team appearances (6.9%) 32 winning team uses of 56 recorded team uses
57.1%
Light Screen Recorded use in 54 of 815 distinct recorded team appearances (6.6%) 24 winning team uses of 54 recorded team uses
44.4%
Recover Recorded use in 50 of 815 distinct recorded team appearances (6.1%) 22 winning team uses of 50 recorded team uses
44.0%
Reflect Recorded use in 41 of 815 distinct recorded team appearances (5.0%) 25 winning team uses of 41 recorded team uses
61.0%
Calm Mind Recorded use in 23 of 815 distinct recorded team appearances (2.8%) 4 winning team uses of 23 recorded team uses
17.4%
Knock Off Recorded use in 15 of 815 distinct recorded team appearances (1.8%) 6 winning team uses of 15 recorded team uses
40.0%
Taunt Recorded use in 10 of 815 distinct recorded team appearances (1.2%) 6 winning team uses of 10 recorded team uses
60.0%

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: 2026/10/10 11:01–2026/10/13 11:23 UTC 1.16 39.87 13648 158 Observed
Period 2: 2026/10/13 11:24–2026/10/16 20:57 UTC 1.90 50.19 13646 259 Observed
Period 3: 2026/10/16 20:58–2026/10/20 06:47 UTC 1.20 38.41 13646 164 Observed
Period 4: 2026/10/20 06:48–2026/10/24 10:58 UTC 1.71 36.32 13646 234 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1090 2.70 46.08 10846 293 Observed
~R1142 1.88 38.42 10784 203 Observed
~R1208 1.25 32.35 10900 136 Observed
~R1296 0.82 35.16 11136 91 Observed
R1296~ 0.84 56.52 10920 92 Observed

Sableye Observed Statistics

Performance Metrics

Sableye has a reported usage rate of 1.49% and win rate of 41.84% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/10/2026 to 10/24/2026 (UTC), with 27,293 recorded battles. 341 wins and 474 losses (815 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 1.16% in the first available period (Period 1: 2026/10/10 11:01–2026/10/13 11:23 UTC; n=13,648 team slots) and 1.71% in the last available period (Period 4: 2026/10/20 06:48–2026/10/24 10:58 UTC; n=13,646 team slots), a change of +0.55 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 39.87% in the first available period (Period 1: 2026/10/10 11:01–2026/10/13 11:23 UTC; n=158 recorded appearances) and 36.32% in the last available period (Period 4: 2026/10/20 06:48–2026/10/24 10:58 UTC; n=234 recorded appearances), a change of -3.55 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 0.82% (~R1296; n=11,136 team slots) to 2.70% (~R1090; n=10,846 team slots), a spread of 1.88 percentage points. Overall usage was 1.49%. 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, Will-O-Wisp has the largest recorded team-use count (76; 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: Lucario: 53.6% wins in 153 recorded pair observations; Ditto: 48.3% wins in 147 recorded pair observations; Dragalge: 42.5% wins in 146 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: Incineroar: 60.6% wins in 33 recorded pair observations; Rillaboom: 53.9% wins in 78 recorded pair observations; Lucario: 51.6% wins in 93 recorded pair observations. Returned lower-win-rate opponent group: Bellibolt: 25.9% wins in 27 recorded pair observations; Dragapult: 27.8% wins in 36 recorded pair observations; Mimikyu: 30.0% wins in 120 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%

Lucario
Lucario153 recorded pair observations · 0.56 pair observations per 100 analyzed battles
53.6%
Ditto
Ditto147 recorded pair observations · 0.54 pair observations per 100 analyzed battles
48.3%
Dragalge
Dragalge146 recorded pair observations · 0.53 pair observations per 100 analyzed battles
42.5%
Corviknight
Corviknight118 recorded pair observations · 0.43 pair observations per 100 analyzed battles
43.2%
Toxapex
Toxapex111 recorded pair observations · 0.41 pair observations per 100 analyzed battles
38.7%
Garchomp
Garchomp100 recorded pair observations · 0.37 pair observations per 100 analyzed battles
43.0%
Starmie
Starmie99 recorded pair observations · 0.36 pair observations per 100 analyzed battles
56.6%
Krookodile
Krookodile92 recorded pair observations · 0.34 pair observations per 100 analyzed battles
44.6%
Scovillain
Scovillain91 recorded pair observations · 0.33 pair observations per 100 analyzed battles
42.9%
Audino
Audino89 recorded pair observations · 0.33 pair observations per 100 analyzed battles
43.8%
Dragonite
Dragonite88 recorded pair observations · 0.32 pair observations per 100 analyzed battles
25.0%
Bellibolt
Bellibolt87 recorded pair observations · 0.32 pair observations per 100 analyzed battles
62.1%
Gengar
Gengar84 recorded pair observations · 0.31 pair observations per 100 analyzed battles
41.7%
Clefable
Clefable77 recorded pair observations · 0.28 pair observations per 100 analyzed battles
53.2%
Archaludon
Archaludon75 recorded pair observations · 0.27 pair observations per 100 analyzed battles
34.7%
Zoroark-Hisui
Zoroark-Hisui73 recorded pair observations · 0.27 pair observations per 100 analyzed battles
43.8%
Blaziken
Blaziken68 recorded pair observations · 0.25 pair observations per 100 analyzed battles
25.0%
Garganacl
Garganacl68 recorded pair observations · 0.25 pair observations per 100 analyzed battles
45.6%
Lopunny
Lopunny67 recorded pair observations · 0.25 pair observations per 100 analyzed battles
44.8%
Slowbro
Slowbro67 recorded pair observations · 0.25 pair observations per 100 analyzed battles
38.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp261 recorded pair observations · 0.96 pair observations per 100 analyzed battles
36.0%
Primarina
Primarina179 recorded pair observations · 0.66 pair observations per 100 analyzed battles
39.1%
Salamence
Salamence146 recorded pair observations · 0.53 pair observations per 100 analyzed battles
43.1%
Gholdengo
Gholdengo142 recorded pair observations · 0.52 pair observations per 100 analyzed battles
40.1%
Corviknight
Corviknight136 recorded pair observations · 0.50 pair observations per 100 analyzed battles
44.9%
Archaludon
Archaludon130 recorded pair observations · 0.48 pair observations per 100 analyzed battles
36.9%
Hippowdon
Hippowdon120 recorded pair observations · 0.44 pair observations per 100 analyzed battles
41.7%
Mimikyu
Mimikyu120 recorded pair observations · 0.44 pair observations per 100 analyzed battles
30.0%
Basculegion
Basculegion105 recorded pair observations · 0.38 pair observations per 100 analyzed battles
41.9%
Charizard
Charizard105 recorded pair observations · 0.38 pair observations per 100 analyzed battles
37.1%
Golisopod
Golisopod105 recorded pair observations · 0.38 pair observations per 100 analyzed battles
35.2%
Lucario
Lucario93 recorded pair observations · 0.34 pair observations per 100 analyzed battles
51.6%
Baxcalibur
Baxcalibur91 recorded pair observations · 0.33 pair observations per 100 analyzed battles
40.7%
Kingambit
Kingambit85 recorded pair observations · 0.31 pair observations per 100 analyzed battles
41.2%
Meowscarada
Meowscarada78 recorded pair observations · 0.29 pair observations per 100 analyzed battles
38.5%
Rillaboom
Rillaboom78 recorded pair observations · 0.29 pair observations per 100 analyzed battles
53.9%
Metagross
Metagross70 recorded pair observations · 0.26 pair observations per 100 analyzed battles
40.0%
Scizor
Scizor70 recorded pair observations · 0.26 pair observations per 100 analyzed battles
30.0%
Gengar
Gengar68 recorded pair observations · 0.25 pair observations per 100 analyzed battles
38.2%
Floette-Eternal
Floette-Eternal64 recorded pair observations · 0.23 pair observations per 100 analyzed battles
40.6%

Higher Win-rate Partners

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

Bellibolt
Bellibolt87 recorded pair observations · 0.32 pair observations per 100 analyzed battles
62.1%
Starmie
Starmie99 recorded pair observations · 0.36 pair observations per 100 analyzed battles
56.6%
Froslass
Froslass53 recorded pair observations · 0.19 pair observations per 100 analyzed battles
54.7%
Lucario
Lucario153 recorded pair observations · 0.56 pair observations per 100 analyzed battles
53.6%
Diggersby
Diggersby30 recorded pair observations · 0.11 pair observations per 100 analyzed battles
53.3%
Clefable
Clefable77 recorded pair observations · 0.28 pair observations per 100 analyzed battles
53.2%
Gallade
Gallade31 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.6%
Maushold
Maushold31 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.6%
Annihilape
Annihilape35 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.4%
Salamence
Salamence38 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.0%

Lower Win-rate Partners

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

Skarmory
Skarmory54 recorded pair observations · 0.20 pair observations per 100 analyzed battles
20.4%
Blaziken
Blaziken68 recorded pair observations · 0.25 pair observations per 100 analyzed battles
25.0%
Dragonite
Dragonite88 recorded pair observations · 0.32 pair observations per 100 analyzed battles
25.0%
Vaporeon
Vaporeon32 recorded pair observations · 0.12 pair observations per 100 analyzed battles
25.0%
Scolipede
Scolipede46 recorded pair observations · 0.17 pair observations per 100 analyzed battles
28.3%
Clawitzer
Clawitzer44 recorded pair observations · 0.16 pair observations per 100 analyzed battles
29.6%
Weavile
Weavile38 recorded pair observations · 0.14 pair observations per 100 analyzed battles
31.6%
Torkoal
Torkoal41 recorded pair observations · 0.15 pair observations per 100 analyzed battles
31.7%
Pincurchin
Pincurchin43 recorded pair observations · 0.16 pair observations per 100 analyzed battles
32.6%
Skeledirge
Skeledirge44 recorded pair observations · 0.16 pair observations per 100 analyzed battles
34.1%

Higher Win-rate Opponent Teams

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

Incineroar
Incineroar33 recorded pair observations · 0.12 pair observations per 100 analyzed battles
60.6%
Rillaboom
Rillaboom78 recorded pair observations · 0.29 pair observations per 100 analyzed battles
53.9%
Lucario
Lucario93 recorded pair observations · 0.34 pair observations per 100 analyzed battles
51.6%
Blastoise
Blastoise43 recorded pair observations · 0.16 pair observations per 100 analyzed battles
51.2%
Ninetales-Alola
Ninetales-Alola51 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.0%
Pawmot
Pawmot57 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.9%
Raichu
Raichu57 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.9%
Aegislash
Aegislash43 recorded pair observations · 0.16 pair observations per 100 analyzed battles
46.5%
Volcarona
Volcarona56 recorded pair observations · 0.21 pair observations per 100 analyzed battles
46.4%
Corviknight
Corviknight136 recorded pair observations · 0.50 pair observations per 100 analyzed battles
44.9%

Lower Win-rate Opponent Teams

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

Bellibolt
Bellibolt27 recorded pair observations · 0.10 pair observations per 100 analyzed battles
25.9%
Dragapult
Dragapult36 recorded pair observations · 0.13 pair observations per 100 analyzed battles
27.8%
Mimikyu
Mimikyu120 recorded pair observations · 0.44 pair observations per 100 analyzed battles
30.0%
Scizor
Scizor70 recorded pair observations · 0.26 pair observations per 100 analyzed battles
30.0%
Barbaracle
Barbaracle33 recorded pair observations · 0.12 pair observations per 100 analyzed battles
30.3%
Cinderace
Cinderace44 recorded pair observations · 0.16 pair observations per 100 analyzed battles
31.8%
Gyarados
Gyarados55 recorded pair observations · 0.20 pair observations per 100 analyzed battles
32.7%
Blaziken
Blaziken48 recorded pair observations · 0.18 pair observations per 100 analyzed battles
33.3%
Starmie
Starmie63 recorded pair observations · 0.23 pair observations per 100 analyzed battles
33.3%
Samurott-Hisui
Samurott-Hisui32 recorded pair observations · 0.12 pair observations per 100 analyzed battles
34.4%