Last Updated: 11/14/2026 11:04 [UTC]

Sableye

Tier C

Mega Evolution Battle (Pokemon Champions)

31.33%Usage Rate
47.67%Win Rate
51.64%Lead Rate
71.17%Selection Rate
1094Avg Rating

8360 recorded team appearances · 3985 wins · 4375 losses · 11/02/2026–11/14/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Fake Out Recorded use in 2090 of 8360 distinct recorded team appearances (25.0%) 1026 winning team uses of 2090 recorded team uses
49.1%
Encore Recorded use in 2051 of 8360 distinct recorded team appearances (24.5%) 1070 winning team uses of 2051 recorded team uses
52.2%
Light Screen Recorded use in 1731 of 8360 distinct recorded team appearances (20.7%) 815 winning team uses of 1731 recorded team uses
47.1%
Reflect Recorded use in 1473 of 8360 distinct recorded team appearances (17.6%) 721 winning team uses of 1473 recorded team uses
48.9%
Foul Play Recorded use in 1372 of 8360 distinct recorded team appearances (16.4%) 712 winning team uses of 1372 recorded team uses
51.9%
Will-O-Wisp Recorded use in 1319 of 8360 distinct recorded team appearances (15.8%) 656 winning team uses of 1319 recorded team uses
49.7%
Rain Dance Recorded use in 1172 of 8360 distinct recorded team appearances (14.0%) 535 winning team uses of 1172 recorded team uses
45.6%
Disable Recorded use in 736 of 8360 distinct recorded team appearances (8.8%) 368 winning team uses of 736 recorded team uses
50.0%
Taunt Recorded use in 539 of 8360 distinct recorded team appearances (6.4%) 229 winning team uses of 539 recorded team uses
42.5%
Quash Recorded use in 508 of 8360 distinct recorded team appearances (6.1%) 200 winning team uses of 508 recorded team uses
39.4%

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: 2026/11/02 05:31–2026/11/06 09:20 UTC 31.31 48.25 6672 2089 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 32.72 47.41 6672 2183 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 31.91 47.35 6672 2129 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 29.37 47.68 6670 1959 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 34.07 48.40 5124 1746 Observed
~R1079 34.35 48.10 5508 1892 Observed
~R1108 32.31 48.78 5318 1718 Observed
~R1148 30.26 46.86 5268 1594 Observed
R1148~ 25.79 45.74 5468 1410 Observed

Sableye Observed Statistics

Performance Metrics

Sableye has a reported usage rate of 31.33% and win rate of 47.67% in Mega Evolution Battle (Pokemon Champions) (displayed tier: C). The report covers 11/02/2026 to 11/14/2026 (UTC), with 13,343 recorded battles. 3,985 wins and 4,375 losses (8,360 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 31.31% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 29.37% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=6,670 team slots), a change of -1.94 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 48.25% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=2,089 recorded appearances) and 47.68% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=1,959 recorded appearances), a change of -0.57 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 25.79% (R1148~; n=5,468 team slots) to 34.35% (~R1079; n=5,508 team slots), a spread of 8.56 percentage points. Overall usage was 31.33%. 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, Fake Out has the largest recorded team-use count (2,090; 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: 48.8% wins in 3,290 recorded pair observations; Clefable: 48.8% wins in 3,027 recorded pair observations; Tyranitar: 48.2% wins in 1,879 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: Dragalge: 67.7% wins in 93 recorded pair observations; Absol: 58.6% wins in 261 recorded pair observations; Alakazam: 57.2% wins in 201 recorded pair observations. Returned lower-win-rate opponent group: Gyarados: 42.7% wins in 988 recorded pair observations; Golisopod: 43.0% wins in 989 recorded pair observations; Medicham: 43.2% wins in 118 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
Garchomp3290 recorded pair observations · 24.66 pair observations per 100 analyzed battles
48.8%
Clefable
Clefable3027 recorded pair observations · 22.69 pair observations per 100 analyzed battles
48.8%
Tyranitar
Tyranitar1879 recorded pair observations · 14.08 pair observations per 100 analyzed battles
48.2%
Swampert
Swampert1764 recorded pair observations · 13.22 pair observations per 100 analyzed battles
46.3%
Scrafty
Scrafty1574 recorded pair observations · 11.80 pair observations per 100 analyzed battles
48.9%
Excadrill
Excadrill1541 recorded pair observations · 11.55 pair observations per 100 analyzed battles
49.2%
Venusaur
Venusaur1514 recorded pair observations · 11.35 pair observations per 100 analyzed battles
47.6%
Staraptor
Staraptor1511 recorded pair observations · 11.32 pair observations per 100 analyzed battles
47.9%
Raichu
Raichu1445 recorded pair observations · 10.83 pair observations per 100 analyzed battles
42.9%
Charizard
Charizard1425 recorded pair observations · 10.68 pair observations per 100 analyzed battles
48.8%
Gengar
Gengar1348 recorded pair observations · 10.10 pair observations per 100 analyzed battles
48.3%
Metagross
Metagross1274 recorded pair observations · 9.55 pair observations per 100 analyzed battles
49.5%
Salamence
Salamence1149 recorded pair observations · 8.61 pair observations per 100 analyzed battles
48.3%
Blastoise
Blastoise1128 recorded pair observations · 8.45 pair observations per 100 analyzed battles
49.9%
Aerodactyl
Aerodactyl1092 recorded pair observations · 8.18 pair observations per 100 analyzed battles
44.5%
Glimmora
Glimmora1022 recorded pair observations · 7.66 pair observations per 100 analyzed battles
49.6%
Golisopod
Golisopod958 recorded pair observations · 7.18 pair observations per 100 analyzed battles
49.1%
Floette-Eternal
Floette-Eternal935 recorded pair observations · 7.01 pair observations per 100 analyzed battles
52.1%
Kangaskhan
Kangaskhan909 recorded pair observations · 6.81 pair observations per 100 analyzed battles
48.2%
Gyarados
Gyarados833 recorded pair observations · 6.24 pair observations per 100 analyzed battles
51.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp3737 recorded pair observations · 28.01 pair observations per 100 analyzed battles
45.2%
Clefable
Clefable2912 recorded pair observations · 21.82 pair observations per 100 analyzed battles
47.7%
Sableye
Sableye2658 recorded pair observations · 19.92 pair observations per 100 analyzed battles
50.0%
Scrafty
Scrafty2269 recorded pair observations · 17.01 pair observations per 100 analyzed battles
44.5%
Tyranitar
Tyranitar2083 recorded pair observations · 15.61 pair observations per 100 analyzed battles
47.0%
Excadrill
Excadrill1816 recorded pair observations · 13.61 pair observations per 100 analyzed battles
47.0%
Raichu
Raichu1663 recorded pair observations · 12.46 pair observations per 100 analyzed battles
52.1%
Staraptor
Staraptor1633 recorded pair observations · 12.24 pair observations per 100 analyzed battles
48.1%
Aerodactyl
Aerodactyl1553 recorded pair observations · 11.64 pair observations per 100 analyzed battles
48.8%
Charizard
Charizard1444 recorded pair observations · 10.82 pair observations per 100 analyzed battles
47.2%
Venusaur
Venusaur1444 recorded pair observations · 10.82 pair observations per 100 analyzed battles
45.1%
Kangaskhan
Kangaskhan1363 recorded pair observations · 10.22 pair observations per 100 analyzed battles
46.4%
Meowstic
Meowstic1207 recorded pair observations · 9.05 pair observations per 100 analyzed battles
49.0%
Salamence
Salamence1175 recorded pair observations · 8.81 pair observations per 100 analyzed battles
46.5%
Floette-Eternal
Floette-Eternal1132 recorded pair observations · 8.48 pair observations per 100 analyzed battles
43.5%
Gardevoir
Gardevoir1131 recorded pair observations · 8.48 pair observations per 100 analyzed battles
46.3%
Blastoise
Blastoise1083 recorded pair observations · 8.12 pair observations per 100 analyzed battles
45.1%
Metagross
Metagross1030 recorded pair observations · 7.72 pair observations per 100 analyzed battles
49.3%
Gengar
Gengar1023 recorded pair observations · 7.67 pair observations per 100 analyzed battles
46.8%
Golisopod
Golisopod989 recorded pair observations · 7.41 pair observations per 100 analyzed battles
43.0%

Higher Win-rate Partners

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

Chesnaught
Chesnaught125 recorded pair observations · 0.94 pair observations per 100 analyzed battles
52.8%
Floette-Eternal
Floette-Eternal935 recorded pair observations · 7.01 pair observations per 100 analyzed battles
52.1%
Starmie
Starmie207 recorded pair observations · 1.55 pair observations per 100 analyzed battles
51.7%
Gyarados
Gyarados833 recorded pair observations · 6.24 pair observations per 100 analyzed battles
51.4%
Chandelure
Chandelure710 recorded pair observations · 5.32 pair observations per 100 analyzed battles
51.3%
Scizor
Scizor762 recorded pair observations · 5.71 pair observations per 100 analyzed battles
50.5%
Gardevoir
Gardevoir806 recorded pair observations · 6.04 pair observations per 100 analyzed battles
50.0%
Blastoise
Blastoise1128 recorded pair observations · 8.45 pair observations per 100 analyzed battles
49.9%
Gallade
Gallade355 recorded pair observations · 2.66 pair observations per 100 analyzed battles
49.6%
Glimmora
Glimmora1022 recorded pair observations · 7.66 pair observations per 100 analyzed battles
49.6%

Lower Win-rate Partners

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

Houndoom
Houndoom103 recorded pair observations · 0.77 pair observations per 100 analyzed battles
32.0%
Eelektross
Eelektross153 recorded pair observations · 1.15 pair observations per 100 analyzed battles
38.6%
Malamar
Malamar209 recorded pair observations · 1.57 pair observations per 100 analyzed battles
38.8%
Absol
Absol252 recorded pair observations · 1.89 pair observations per 100 analyzed battles
39.3%
Falinks
Falinks105 recorded pair observations · 0.79 pair observations per 100 analyzed battles
41.0%
Sceptile
Sceptile210 recorded pair observations · 1.57 pair observations per 100 analyzed battles
42.4%
Raichu
Raichu1445 recorded pair observations · 10.83 pair observations per 100 analyzed battles
42.9%
Lucario
Lucario243 recorded pair observations · 1.82 pair observations per 100 analyzed battles
43.2%
Froslass
Froslass291 recorded pair observations · 2.18 pair observations per 100 analyzed battles
43.3%
Lopunny
Lopunny344 recorded pair observations · 2.58 pair observations per 100 analyzed battles
43.6%

Higher Win-rate Opponent Teams

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

Dragalge
Dragalge93 recorded pair observations · 0.70 pair observations per 100 analyzed battles
67.7%
Absol
Absol261 recorded pair observations · 1.96 pair observations per 100 analyzed battles
58.6%
Alakazam
Alakazam201 recorded pair observations · 1.51 pair observations per 100 analyzed battles
57.2%
Audino
Audino256 recorded pair observations · 1.92 pair observations per 100 analyzed battles
56.2%
Sceptile
Sceptile241 recorded pair observations · 1.81 pair observations per 100 analyzed battles
56.0%
Lucario
Lucario324 recorded pair observations · 2.43 pair observations per 100 analyzed battles
55.9%
Falinks
Falinks88 recorded pair observations · 0.66 pair observations per 100 analyzed battles
55.7%
Manectric
Manectric102 recorded pair observations · 0.76 pair observations per 100 analyzed battles
54.9%
Scolipede
Scolipede125 recorded pair observations · 0.94 pair observations per 100 analyzed battles
53.6%
Dragonite
Dragonite600 recorded pair observations · 4.50 pair observations per 100 analyzed battles
52.7%

Lower Win-rate Opponent Teams

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

Gyarados
Gyarados988 recorded pair observations · 7.40 pair observations per 100 analyzed battles
42.7%
Golisopod
Golisopod989 recorded pair observations · 7.41 pair observations per 100 analyzed battles
43.0%
Medicham
Medicham118 recorded pair observations · 0.88 pair observations per 100 analyzed battles
43.2%
Floette-Eternal
Floette-Eternal1132 recorded pair observations · 8.48 pair observations per 100 analyzed battles
43.5%
Scizor
Scizor946 recorded pair observations · 7.09 pair observations per 100 analyzed battles
44.1%
Scrafty
Scrafty2269 recorded pair observations · 17.01 pair observations per 100 analyzed battles
44.5%
Delphox
Delphox720 recorded pair observations · 5.40 pair observations per 100 analyzed battles
44.7%
Blastoise
Blastoise1083 recorded pair observations · 8.12 pair observations per 100 analyzed battles
45.1%
Chandelure
Chandelure966 recorded pair observations · 7.24 pair observations per 100 analyzed battles
45.1%
Venusaur
Venusaur1444 recorded pair observations · 10.82 pair observations per 100 analyzed battles
45.1%