Last Updated: 10/26/2026 11:04 [UTC]

Zoroark-Hisui

Tier E

BSS Regulation M-C (Pokemon Champions)

1.89%Usage Rate
50.95%Win Rate
0.00%Lead Rate
0.00%Selection Rate
1183Avg Rating

948 recorded team appearances · 483 wins · 465 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

No moves meet the minimum of 10 recorded team uses. This does not establish that no moves were used.

⚠️ 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 1.53 53.12 12542 192 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 1.87 59.40 12542 234 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 1.85 48.28 12542 232 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 2.31 44.83 12540 290 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 2.35 52.99 9968 234 Observed
~R1142 1.99 45.45 9958 198 Observed
~R1208 1.88 51.05 10104 190 Observed
~R1298 1.46 43.84 10004 146 Observed
R1298~ 1.78 60.00 10132 180 Observed

Zoroark-Hisui Observed Statistics

Performance Metrics

Zoroark-Hisui has a reported usage rate of 1.89% and win rate of 50.95% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 483 wins and 465 losses (948 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 1.53% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 2.31% 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 +0.78 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 53.12% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=192 recorded appearances) and 44.83% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=290 recorded appearances), a change of -8.29 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 1.46% (~R1298; n=10,004 team slots) to 2.35% (~R1089; n=9,968 team slots), a spread of 0.89 percentage points. Overall usage was 1.89%. Bands use battle-average ratings, not individual player skill. Missing bands are excluded; differences are descriptive, not evidence of statistical significance.

Teammate Observations

In the returned frequent-teammate sample: Garchomp: 52.1% wins in 330 recorded pair observations; Archaludon: 61.1% wins in 211 recorded pair observations; Lucario: 48.2% wins in 191 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: Scolipede: 68.1% wins in 47 recorded pair observations; Aegislash: 66.1% wins in 56 recorded pair observations; Grimmsnarl: 64.0% wins in 50 recorded pair observations. Returned lower-win-rate opponent group: Raichu: 31.8% wins in 66 recorded pair observations; Staraptor: 33.3% wins in 30 recorded pair observations; Meganium: 34.4% wins in 32 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
Garchomp330 recorded pair observations · 1.32 pair observations per 100 analyzed battles
52.1%
Archaludon
Archaludon211 recorded pair observations · 0.84 pair observations per 100 analyzed battles
61.1%
Lucario
Lucario191 recorded pair observations · 0.76 pair observations per 100 analyzed battles
48.2%
Starmie
Starmie187 recorded pair observations · 0.75 pair observations per 100 analyzed battles
64.2%
Absol
Absol180 recorded pair observations · 0.72 pair observations per 100 analyzed battles
44.4%
Sneasler
Sneasler171 recorded pair observations · 0.68 pair observations per 100 analyzed battles
55.6%
Greninja
Greninja166 recorded pair observations · 0.66 pair observations per 100 analyzed battles
47.6%
Mimikyu
Mimikyu162 recorded pair observations · 0.65 pair observations per 100 analyzed battles
50.0%
Ceruledge
Ceruledge143 recorded pair observations · 0.57 pair observations per 100 analyzed battles
41.3%
Basculegion
Basculegion127 recorded pair observations · 0.51 pair observations per 100 analyzed battles
48.8%
Cinderace
Cinderace99 recorded pair observations · 0.39 pair observations per 100 analyzed battles
58.6%
Kingambit
Kingambit94 recorded pair observations · 0.37 pair observations per 100 analyzed battles
51.1%
Umbreon
Umbreon94 recorded pair observations · 0.37 pair observations per 100 analyzed battles
47.9%
Lopunny
Lopunny92 recorded pair observations · 0.37 pair observations per 100 analyzed battles
43.5%
Baxcalibur
Baxcalibur78 recorded pair observations · 0.31 pair observations per 100 analyzed battles
48.7%
Charizard
Charizard77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
46.8%
Gholdengo
Gholdengo73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
45.2%
Salamence
Salamence73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
49.3%
Skarmory
Skarmory73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
46.6%
Corviknight
Corviknight70 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp289 recorded pair observations · 1.15 pair observations per 100 analyzed battles
40.5%
Primarina
Primarina240 recorded pair observations · 0.96 pair observations per 100 analyzed battles
41.2%
Archaludon
Archaludon186 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.4%
Hippowdon
Hippowdon186 recorded pair observations · 0.74 pair observations per 100 analyzed battles
55.4%
Gholdengo
Gholdengo180 recorded pair observations · 0.72 pair observations per 100 analyzed battles
52.8%
Mimikyu
Mimikyu163 recorded pair observations · 0.65 pair observations per 100 analyzed battles
52.8%
Salamence
Salamence161 recorded pair observations · 0.64 pair observations per 100 analyzed battles
51.5%
Corviknight
Corviknight157 recorded pair observations · 0.63 pair observations per 100 analyzed battles
42.7%
Golisopod
Golisopod148 recorded pair observations · 0.59 pair observations per 100 analyzed battles
55.4%
Basculegion
Basculegion119 recorded pair observations · 0.47 pair observations per 100 analyzed battles
52.9%
Metagross
Metagross113 recorded pair observations · 0.45 pair observations per 100 analyzed battles
54.0%
Kingambit
Kingambit103 recorded pair observations · 0.41 pair observations per 100 analyzed battles
44.7%
Charizard
Charizard101 recorded pair observations · 0.40 pair observations per 100 analyzed battles
43.6%
Baxcalibur
Baxcalibur92 recorded pair observations · 0.37 pair observations per 100 analyzed battles
39.1%
Dragonite
Dragonite87 recorded pair observations · 0.35 pair observations per 100 analyzed battles
59.8%
Scizor
Scizor87 recorded pair observations · 0.35 pair observations per 100 analyzed battles
51.7%
Rillaboom
Rillaboom85 recorded pair observations · 0.34 pair observations per 100 analyzed battles
63.5%
Meowscarada
Meowscarada84 recorded pair observations · 0.33 pair observations per 100 analyzed battles
40.5%
Lucario
Lucario83 recorded pair observations · 0.33 pair observations per 100 analyzed battles
48.2%
Gyarados
Gyarados81 recorded pair observations · 0.32 pair observations per 100 analyzed battles
59.3%

Higher Win-rate Partners

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

Rotom-Heat
Rotom-Heat25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
80.0%
Floette-Eternal
Floette-Eternal25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
68.0%
Blaziken
Blaziken55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
67.3%
Primarina
Primarina34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
64.7%
Starmie
Starmie187 recorded pair observations · 0.75 pair observations per 100 analyzed battles
64.2%
Gengar
Gengar29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
62.1%
Hatterene
Hatterene42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
61.9%
Meowscarada
Meowscarada62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
61.3%
Skeledirge
Skeledirge67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
61.2%
Archaludon
Archaludon211 recorded pair observations · 0.84 pair observations per 100 analyzed battles
61.1%

Lower Win-rate Partners

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

Scizor
Scizor26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
30.8%
Milotic
Milotic25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
32.0%
Ceruledge
Ceruledge143 recorded pair observations · 0.57 pair observations per 100 analyzed battles
41.3%
Ditto
Ditto30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.3%
Lopunny
Lopunny92 recorded pair observations · 0.37 pair observations per 100 analyzed battles
43.5%
Absol
Absol180 recorded pair observations · 0.72 pair observations per 100 analyzed battles
44.4%
Tinkaton
Tinkaton27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.4%
Dragapult
Dragapult40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.0%
Pawmot
Pawmot40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.0%
Gholdengo
Gholdengo73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
45.2%

Higher Win-rate Opponent Teams

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

Scolipede
Scolipede47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
68.1%
Aegislash
Aegislash56 recorded pair observations · 0.22 pair observations per 100 analyzed battles
66.1%
Grimmsnarl
Grimmsnarl50 recorded pair observations · 0.20 pair observations per 100 analyzed battles
64.0%
Rillaboom
Rillaboom85 recorded pair observations · 0.34 pair observations per 100 analyzed battles
63.5%
Skeledirge
Skeledirge73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
61.6%
Absol
Absol33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
60.6%
Dragonite
Dragonite87 recorded pair observations · 0.35 pair observations per 100 analyzed battles
59.8%
Gyarados
Gyarados81 recorded pair observations · 0.32 pair observations per 100 analyzed battles
59.3%
Ditto
Ditto24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
58.3%
Bellibolt
Bellibolt28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.1%

Lower Win-rate Opponent Teams

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

Raichu
Raichu66 recorded pair observations · 0.26 pair observations per 100 analyzed battles
31.8%
Staraptor
Staraptor30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
33.3%
Meganium
Meganium32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
34.4%
Dragapult
Dragapult35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
37.1%
Baxcalibur
Baxcalibur92 recorded pair observations · 0.37 pair observations per 100 analyzed battles
39.1%
Garchomp
Garchomp289 recorded pair observations · 1.15 pair observations per 100 analyzed battles
40.5%
Meowscarada
Meowscarada84 recorded pair observations · 0.33 pair observations per 100 analyzed battles
40.5%
Ninetales-Alola
Ninetales-Alola49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
40.8%
Primarina
Primarina240 recorded pair observations · 0.96 pair observations per 100 analyzed battles
41.2%
Hatterene
Hatterene24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.7%