Last Updated: 10/10/2026 14:11 [UTC]

Zoroark-Hisui

Tier E

OU (Over Used)

1.41%Usage Rate
43.36%Win Rate
0.05%Lead Rate
1155Avg Rating

4200 recorded team appearances · 1821 wins · 2379 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Bitter Malice Recorded use in 198 of 4200 distinct recorded team appearances (4.7%) 91 winning team uses of 198 recorded team uses
46.0%
Hyper Voice Recorded use in 183 of 4200 distinct recorded team appearances (4.4%) 76 winning team uses of 183 recorded team uses
41.5%
Shadow Ball Recorded use in 146 of 4200 distinct recorded team appearances (3.5%) 80 winning team uses of 146 recorded team uses
54.8%
Flamethrower Recorded use in 81 of 4200 distinct recorded team appearances (1.9%) 41 winning team uses of 81 recorded team uses
50.6%
Nasty Plot Recorded use in 49 of 4200 distinct recorded team appearances (1.2%) 14 winning team uses of 49 recorded team uses
28.6%
Focus Blast Recorded use in 39 of 4200 distinct recorded team appearances (0.9%) 13 winning team uses of 39 recorded team uses
33.3%
Shadow Sneak Recorded use in 33 of 4200 distinct recorded team appearances (0.8%) 10 winning team uses of 33 recorded team uses
30.3%
Hex Recorded use in 24 of 4200 distinct recorded team appearances (0.6%) 8 winning team uses of 24 recorded team uses
33.3%
U-turn Recorded use in 24 of 4200 distinct recorded team appearances (0.6%) 9 winning team uses of 24 recorded team uses
37.5%
Sludge Bomb Recorded use in 22 of 4200 distinct recorded team appearances (0.5%) 11 winning team uses of 22 recorded team uses
50.0%

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: 2026/09/26 23:07–2026/09/30 15:46 JST 1.53 42.96 74644 1143 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.42 44.66 74642 1059 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:56 JST 1.42 42.40 74642 1059 Observed
Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST 1.26 43.45 74642 939 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.48 43.41 60202 1495 Observed
~R1156 1.93 43.73 59416 1148 Observed
~R1268 1.28 40.74 59484 761 Observed
~R1398 0.72 43.88 59962 433 Observed
R1398~ 0.61 46.83 59506 363 Observed

Zoroark-Hisui Observed Statistics

Performance Metrics

Zoroark-Hisui has a reported usage rate of 1.41% and win rate of 43.36% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,285 recorded battles. 1,821 wins and 2,379 losses (4,200 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: 2026/09/26 23:07–2026/09/30 15:46 JST; n=74,644 team slots) and 1.26% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=74,642 team slots), a change of -0.27 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 42.96% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=1,143 recorded appearances) and 43.45% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=939 recorded appearances), a change of +0.49 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 0.61% (R1398~; n=59,506 team slots) to 2.48% (~R1084; n=60,202 team slots), a spread of 1.87 percentage points. Overall usage was 1.41%. 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, Bitter Malice has the largest recorded team-use count (198; 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: Kingambit: 48.7% wins in 552 recorded pair observations; Ceruledge: 39.7% wins in 486 recorded pair observations; Great Tusk: 48.2% wins in 444 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: Ceruledge: 49.1% wins in 373 recorded pair observations; Dondozo: 45.0% wins in 220 recorded pair observations; Scizor: 44.3% wins in 192 recorded pair observations. Returned lower-win-rate opponent group: Zamazenta-*: 34.9% wins in 441 recorded pair observations; Ogerpon-Wellspring: 35.9% wins in 471 recorded pair observations; Landorus-Therian: 36.1% wins in 341 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%

Kingambit
Kingambit552 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.7%
Ceruledge
Ceruledge486 recorded pair observations · 0.33 pair observations per 100 analyzed battles
39.7%
Great Tusk
Great Tusk444 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.2%
Dragapult
Dragapult443 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.0%
Gliscor
Gliscor420 recorded pair observations · 0.28 pair observations per 100 analyzed battles
44.0%
Gholdengo
Gholdengo389 recorded pair observations · 0.26 pair observations per 100 analyzed battles
45.0%
Meowscarada
Meowscarada381 recorded pair observations · 0.26 pair observations per 100 analyzed battles
45.9%
Corviknight
Corviknight380 recorded pair observations · 0.25 pair observations per 100 analyzed battles
44.2%
Ogerpon-Wellspring
Ogerpon-Wellspring373 recorded pair observations · 0.25 pair observations per 100 analyzed battles
48.8%
Cinderace
Cinderace369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
42.3%
Iron Valiant
Iron Valiant348 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.0%
Hatterene
Hatterene344 recorded pair observations · 0.23 pair observations per 100 analyzed battles
50.0%
Samurott-Hisui
Samurott-Hisui312 recorded pair observations · 0.21 pair observations per 100 analyzed battles
43.3%
Glimmora
Glimmora307 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.2%
Dragonite
Dragonite283 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.6%
Garchomp
Garchomp273 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.0%
Maushold
Maushold262 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.8%
Ursaluna
Ursaluna249 recorded pair observations · 0.17 pair observations per 100 analyzed battles
43.8%
Slowking-Galar
Slowking-Galar241 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.6%
Alomomola
Alomomola236 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1013 recorded pair observations · 0.68 pair observations per 100 analyzed battles
40.4%
Kingambit
Kingambit806 recorded pair observations · 0.54 pair observations per 100 analyzed battles
42.3%
Gholdengo
Gholdengo794 recorded pair observations · 0.53 pair observations per 100 analyzed battles
42.4%
Dragonite
Dragonite610 recorded pair observations · 0.41 pair observations per 100 analyzed battles
38.4%
Gliscor
Gliscor609 recorded pair observations · 0.41 pair observations per 100 analyzed battles
42.5%
Dragapult
Dragapult591 recorded pair observations · 0.40 pair observations per 100 analyzed battles
38.9%
Corviknight
Corviknight551 recorded pair observations · 0.37 pair observations per 100 analyzed battles
42.1%
Iron Valiant
Iron Valiant488 recorded pair observations · 0.33 pair observations per 100 analyzed battles
43.6%
Ogerpon-Wellspring
Ogerpon-Wellspring471 recorded pair observations · 0.32 pair observations per 100 analyzed battles
35.9%
Zamazenta-*
Zamazenta-*441 recorded pair observations · 0.30 pair observations per 100 analyzed battles
34.9%
Hatterene
Hatterene427 recorded pair observations · 0.29 pair observations per 100 analyzed battles
41.7%
Cinderace
Cinderace415 recorded pair observations · 0.28 pair observations per 100 analyzed battles
40.0%
Slowking-Galar
Slowking-Galar406 recorded pair observations · 0.27 pair observations per 100 analyzed battles
43.6%
Glimmora
Glimmora395 recorded pair observations · 0.26 pair observations per 100 analyzed battles
41.8%
Samurott-Hisui
Samurott-Hisui390 recorded pair observations · 0.26 pair observations per 100 analyzed battles
36.1%
Raging Bolt
Raging Bolt389 recorded pair observations · 0.26 pair observations per 100 analyzed battles
36.5%
Alomomola
Alomomola377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
37.7%
Ceruledge
Ceruledge373 recorded pair observations · 0.25 pair observations per 100 analyzed battles
49.1%
Iron Treads
Iron Treads355 recorded pair observations · 0.24 pair observations per 100 analyzed battles
40.9%
Kyurem
Kyurem346 recorded pair observations · 0.23 pair observations per 100 analyzed battles
41.0%

Higher Win-rate Partners

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

Metagross
Metagross209 recorded pair observations · 0.14 pair observations per 100 analyzed battles
53.1%
Darkrai
Darkrai205 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.2%
Hatterene
Hatterene344 recorded pair observations · 0.23 pair observations per 100 analyzed battles
50.0%
Weavile
Weavile149 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.0%
Vaporeon
Vaporeon176 recorded pair observations · 0.12 pair observations per 100 analyzed battles
48.9%
Ogerpon-Wellspring
Ogerpon-Wellspring373 recorded pair observations · 0.25 pair observations per 100 analyzed battles
48.8%
Kingambit
Kingambit552 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.7%
Great Tusk
Great Tusk444 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.2%
Barraskewda
Barraskewda158 recorded pair observations · 0.11 pair observations per 100 analyzed battles
48.1%
Iron Valiant
Iron Valiant348 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.0%

Lower Win-rate Partners

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

Garganacl
Garganacl144 recorded pair observations · 0.10 pair observations per 100 analyzed battles
33.3%
Ditto
Ditto167 recorded pair observations · 0.11 pair observations per 100 analyzed battles
35.3%
Haxorus
Haxorus154 recorded pair observations · 0.10 pair observations per 100 analyzed battles
36.4%
Rillaboom
Rillaboom164 recorded pair observations · 0.11 pair observations per 100 analyzed battles
38.4%
Mimikyu
Mimikyu156 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.5%
Ceruledge
Ceruledge486 recorded pair observations · 0.33 pair observations per 100 analyzed battles
39.7%
Milotic
Milotic147 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.2%
Cinderace
Cinderace369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
42.3%
Landorus-Therian
Landorus-Therian205 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.9%
Primarina
Primarina160 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.1%

Higher Win-rate Opponent Teams

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

Ceruledge
Ceruledge373 recorded pair observations · 0.25 pair observations per 100 analyzed battles
49.1%
Dondozo
Dondozo220 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.0%
Scizor
Scizor192 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.3%
Clodsire
Clodsire147 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.2%
Iron Valiant
Iron Valiant488 recorded pair observations · 0.33 pair observations per 100 analyzed battles
43.6%
Slowking-Galar
Slowking-Galar406 recorded pair observations · 0.27 pair observations per 100 analyzed battles
43.6%

Lower Win-rate Opponent Teams

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

Zamazenta-*
Zamazenta-*441 recorded pair observations · 0.30 pair observations per 100 analyzed battles
34.9%
Ogerpon-Wellspring
Ogerpon-Wellspring471 recorded pair observations · 0.32 pair observations per 100 analyzed battles
35.9%
Landorus-Therian
Landorus-Therian341 recorded pair observations · 0.23 pair observations per 100 analyzed battles
36.1%
Samurott-Hisui
Samurott-Hisui390 recorded pair observations · 0.26 pair observations per 100 analyzed battles
36.1%
Pecharunt
Pecharunt246 recorded pair observations · 0.16 pair observations per 100 analyzed battles
36.2%
Raging Bolt
Raging Bolt389 recorded pair observations · 0.26 pair observations per 100 analyzed battles
36.5%
Garganacl
Garganacl238 recorded pair observations · 0.16 pair observations per 100 analyzed battles
37.0%
Iron Moth
Iron Moth284 recorded pair observations · 0.19 pair observations per 100 analyzed battles
37.3%
Alomomola
Alomomola377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
37.7%
Ogerpon
Ogerpon151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
37.8%