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

Sableye

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

2.66%Usage Rate
46.74%Win Rate
49.76%Lead Rate
64.23%Selection Rate
1210Avg Rating

17125 recorded team appearances · 8005 wins · 9120 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Light Screen Recorded use in 3555 of 17127 distinct recorded team appearances (20.8%) 1753 winning team uses of 3555 recorded team uses
49.3%
Reflect Recorded use in 2518 of 17127 distinct recorded team appearances (14.7%) 1301 winning team uses of 2518 recorded team uses
51.7%
Rain Dance Recorded use in 2444 of 17127 distinct recorded team appearances (14.3%) 1215 winning team uses of 2444 recorded team uses
49.7%
Encore Recorded use in 2376 of 17127 distinct recorded team appearances (13.9%) 1207 winning team uses of 2376 recorded team uses
50.8%
Will-O-Wisp Recorded use in 2176 of 17127 distinct recorded team appearances (12.7%) 1077 winning team uses of 2176 recorded team uses
49.5%
Foul Play Recorded use in 2027 of 17127 distinct recorded team appearances (11.8%) 1026 winning team uses of 2027 recorded team uses
50.6%
Fake Out Recorded use in 1978 of 17127 distinct recorded team appearances (11.5%) 898 winning team uses of 1978 recorded team uses
45.4%
Disable Recorded use in 1258 of 17127 distinct recorded team appearances (7.3%) 616 winning team uses of 1258 recorded team uses
49.0%
Gravity Recorded use in 1056 of 17127 distinct recorded team appearances (6.2%) 455 winning team uses of 1056 recorded team uses
43.1%
Quash Recorded use in 927 of 17127 distinct recorded team appearances (5.4%) 403 winning team uses of 927 recorded team uses
43.5%

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 2.37 46.72 160968 3814 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 2.68 46.48 160966 4307 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 2.31 46.51 160966 3726 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 3.28 47.14 160966 5278 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 4.16 47.41 128104 5330 Observed
~R1208 3.37 45.81 129182 4355 Observed
~R1302 2.54 46.51 126962 3227 Observed
~R1405 1.96 46.25 130626 2562 Observed
R1405~ 1.28 48.27 128992 1651 Observed

Sableye Observed Statistics

Performance Metrics

Sableye has a reported usage rate of 2.66% and win rate of 46.74% 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. 8,005 wins and 9,120 losses (17,125 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 2.37% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 3.28% 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 +0.91 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 46.72% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=3,814 recorded appearances) and 47.14% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=5,278 recorded appearances), a change of +0.42 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 1.28% (R1405~; n=128,992 team slots) to 4.16% (~R1129; n=128,104 team slots), a spread of 2.88 percentage points. Overall usage was 2.66%. 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, Light Screen has the largest recorded team-use count (3,555; 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: Archaludon: 51.7% wins in 4,747 recorded pair observations; Rillaboom: 48.2% wins in 3,738 recorded pair observations; Pelipper: 49.0% wins in 3,015 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: Rotom-Heat: 53.3% wins in 383 recorded pair observations; Maushold: 51.7% wins in 404 recorded pair observations; Espathra: 51.6% wins in 384 recorded pair observations. Returned lower-win-rate opponent group: Sylveon: 39.7% wins in 1,351 recorded pair observations; Floette-Eternal: 39.8% wins in 1,065 recorded pair observations; Venusaur: 42.0% wins in 1,163 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%

Archaludon
Archaludon4747 recorded pair observations · 1.47 pair observations per 100 analyzed battles
51.7%
Rillaboom
Rillaboom3738 recorded pair observations · 1.16 pair observations per 100 analyzed battles
48.2%
Pelipper
Pelipper3015 recorded pair observations · 0.94 pair observations per 100 analyzed battles
49.0%
Sinistcha
Sinistcha2703 recorded pair observations · 0.84 pair observations per 100 analyzed battles
46.6%
Sneasler
Sneasler2463 recorded pair observations · 0.77 pair observations per 100 analyzed battles
46.7%
Incineroar
Incineroar2343 recorded pair observations · 0.73 pair observations per 100 analyzed battles
45.9%
Golisopod
Golisopod2338 recorded pair observations · 0.73 pair observations per 100 analyzed battles
49.0%
Swampert
Swampert2032 recorded pair observations · 0.63 pair observations per 100 analyzed battles
51.2%
Raichu
Raichu1982 recorded pair observations · 0.62 pair observations per 100 analyzed battles
46.6%
Garchomp
Garchomp1964 recorded pair observations · 0.61 pair observations per 100 analyzed battles
50.2%
Basculegion
Basculegion1870 recorded pair observations · 0.58 pair observations per 100 analyzed battles
49.4%
Indeedee-F
Indeedee-F1832 recorded pair observations · 0.57 pair observations per 100 analyzed battles
44.0%
Charizard
Charizard1827 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.9%
Gholdengo
Gholdengo1581 recorded pair observations · 0.49 pair observations per 100 analyzed battles
49.3%
Gengar
Gengar1494 recorded pair observations · 0.46 pair observations per 100 analyzed battles
44.3%
Milotic
Milotic1276 recorded pair observations · 0.40 pair observations per 100 analyzed battles
45.0%
Farigiraf
Farigiraf1270 recorded pair observations · 0.39 pair observations per 100 analyzed battles
45.0%
Kingambit
Kingambit1256 recorded pair observations · 0.39 pair observations per 100 analyzed battles
45.1%
Politoed
Politoed1127 recorded pair observations · 0.35 pair observations per 100 analyzed battles
52.2%
Delphox
Delphox1126 recorded pair observations · 0.35 pair observations per 100 analyzed battles
49.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom5095 recorded pair observations · 1.58 pair observations per 100 analyzed battles
46.1%
Sneasler
Sneasler4943 recorded pair observations · 1.54 pair observations per 100 analyzed battles
45.4%
Incineroar
Incineroar4443 recorded pair observations · 1.38 pair observations per 100 analyzed battles
45.3%
Garchomp
Garchomp4214 recorded pair observations · 1.31 pair observations per 100 analyzed battles
45.2%
Raichu
Raichu3157 recorded pair observations · 0.98 pair observations per 100 analyzed battles
43.7%
Indeedee-F
Indeedee-F3127 recorded pair observations · 0.97 pair observations per 100 analyzed battles
46.0%
Archaludon
Archaludon3092 recorded pair observations · 0.96 pair observations per 100 analyzed battles
45.4%
Pelipper
Pelipper2800 recorded pair observations · 0.87 pair observations per 100 analyzed battles
47.0%
Kingambit
Kingambit2746 recorded pair observations · 0.85 pair observations per 100 analyzed battles
44.0%
Farigiraf
Farigiraf2730 recorded pair observations · 0.85 pair observations per 100 analyzed battles
45.3%
Charizard
Charizard2699 recorded pair observations · 0.84 pair observations per 100 analyzed battles
45.6%
Golisopod
Golisopod2375 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.1%
Whimsicott
Whimsicott2185 recorded pair observations · 0.68 pair observations per 100 analyzed battles
47.9%
Gholdengo
Gholdengo2149 recorded pair observations · 0.67 pair observations per 100 analyzed battles
42.3%
Basculegion
Basculegion1869 recorded pair observations · 0.58 pair observations per 100 analyzed battles
45.6%
Salamence
Salamence1778 recorded pair observations · 0.55 pair observations per 100 analyzed battles
44.3%
Sinistcha
Sinistcha1758 recorded pair observations · 0.55 pair observations per 100 analyzed battles
49.8%
Tyranitar
Tyranitar1595 recorded pair observations · 0.50 pair observations per 100 analyzed battles
46.6%
Milotic
Milotic1507 recorded pair observations · 0.47 pair observations per 100 analyzed battles
46.4%
Volcarona
Volcarona1429 recorded pair observations · 0.44 pair observations per 100 analyzed battles
45.6%

Higher Win-rate Partners

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

Mamoswine
Mamoswine356 recorded pair observations · 0.11 pair observations per 100 analyzed battles
59.3%
Venusaur
Venusaur1087 recorded pair observations · 0.34 pair observations per 100 analyzed battles
52.9%
Politoed
Politoed1127 recorded pair observations · 0.35 pair observations per 100 analyzed battles
52.2%
Archaludon
Archaludon4747 recorded pair observations · 1.47 pair observations per 100 analyzed battles
51.7%
Audino
Audino403 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.6%
Floette-Eternal
Floette-Eternal888 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.6%
Overqwil
Overqwil723 recorded pair observations · 0.22 pair observations per 100 analyzed battles
51.3%
Swampert
Swampert2032 recorded pair observations · 0.63 pair observations per 100 analyzed battles
51.2%
Charizard
Charizard1827 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.9%
Slowking-Galar
Slowking-Galar406 recorded pair observations · 0.13 pair observations per 100 analyzed battles
50.7%

Lower Win-rate Partners

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

Blaziken
Blaziken376 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.1%
Absol
Absol334 recorded pair observations · 0.10 pair observations per 100 analyzed battles
39.5%
Whimsicott
Whimsicott674 recorded pair observations · 0.21 pair observations per 100 analyzed battles
40.4%
Lucario
Lucario757 recorded pair observations · 0.24 pair observations per 100 analyzed battles
40.7%
Tinkaton
Tinkaton312 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.4%
Greninja
Greninja311 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.8%
Hawlucha
Hawlucha321 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.1%
Sceptile
Sceptile314 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.7%
Alakazam
Alakazam345 recorded pair observations · 0.11 pair observations per 100 analyzed battles
42.9%
Blastoise
Blastoise434 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.3%

Higher Win-rate Opponent Teams

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

Rotom-Heat
Rotom-Heat383 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.3%
Maushold
Maushold404 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.7%
Espathra
Espathra384 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.6%
Corviknight
Corviknight528 recorded pair observations · 0.16 pair observations per 100 analyzed battles
51.5%
Annihilape
Annihilape623 recorded pair observations · 0.19 pair observations per 100 analyzed battles
50.6%
Lucario
Lucario601 recorded pair observations · 0.19 pair observations per 100 analyzed battles
50.6%
Typhlosion-Hisui
Typhlosion-Hisui378 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.3%
Sableye
Sableye548 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.0%
Sinistcha
Sinistcha1758 recorded pair observations · 0.55 pair observations per 100 analyzed battles
49.8%
Blastoise
Blastoise435 recorded pair observations · 0.14 pair observations per 100 analyzed battles
49.7%

Lower Win-rate Opponent Teams

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

Sylveon
Sylveon1351 recorded pair observations · 0.42 pair observations per 100 analyzed battles
39.7%
Floette-Eternal
Floette-Eternal1065 recorded pair observations · 0.33 pair observations per 100 analyzed battles
39.8%
Venusaur
Venusaur1163 recorded pair observations · 0.36 pair observations per 100 analyzed battles
42.0%
Gholdengo
Gholdengo2149 recorded pair observations · 0.67 pair observations per 100 analyzed battles
42.3%
Meganium
Meganium316 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.4%
Aerodactyl
Aerodactyl526 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.7%
Raichu
Raichu3157 recorded pair observations · 0.98 pair observations per 100 analyzed battles
43.7%
Armarouge
Armarouge738 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.9%
Camerupt
Camerupt492 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.9%
Dragonite
Dragonite799 recorded pair observations · 0.25 pair observations per 100 analyzed battles
43.9%