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

Arcanine-Hisui

Tier E

OU (Over Used)

1.40%Usage Rate
46.51%Win Rate
14.94%Lead Rate
1200Avg Rating

4171 recorded team appearances · 1940 wins · 2231 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Head Smash Recorded use in 1197 of 4171 distinct recorded team appearances (28.7%) 549 winning team uses of 1197 recorded team uses
45.9%
Flare Blitz Recorded use in 1130 of 4171 distinct recorded team appearances (27.1%) 533 winning team uses of 1130 recorded team uses
47.2%
Extreme Speed Recorded use in 683 of 4171 distinct recorded team appearances (16.4%) 298 winning team uses of 683 recorded team uses
43.6%
Wild Charge Recorded use in 128 of 4171 distinct recorded team appearances (3.1%) 51 winning team uses of 128 recorded team uses
39.8%
Close Combat Recorded use in 97 of 4171 distinct recorded team appearances (2.3%) 53 winning team uses of 97 recorded team uses
54.6%
Stealth Rock Recorded use in 83 of 4171 distinct recorded team appearances (2.0%) 41 winning team uses of 83 recorded team uses
49.4%
Double-Edge Recorded use in 46 of 4171 distinct recorded team appearances (1.1%) 18 winning team uses of 46 recorded team uses
39.1%
Rock Slide Recorded use in 22 of 4171 distinct recorded team appearances (0.5%) 9 winning team uses of 22 recorded team uses
40.9%
Crunch Recorded use in 20 of 4171 distinct recorded team appearances (0.5%) 7 winning team uses of 20 recorded team uses
35.0%
Will-O-Wisp Recorded use in 18 of 4171 distinct recorded team appearances (0.4%) 6 winning team uses of 18 recorded team uses
33.3%

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 1.46 47.94 74644 1091 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.45 46.87 74642 1086 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:56 JST 1.32 44.42 74642 986 Observed
Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST 1.35 46.63 74642 1008 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.72 46.71 60202 1034 Observed
~R1156 1.61 44.71 59416 955 Observed
~R1268 1.51 46.50 59484 899 Observed
~R1398 1.30 48.08 59962 782 Observed
R1398~ 0.84 47.11 59506 501 Observed

Arcanine-Hisui Observed Statistics

Performance Metrics

Arcanine-Hisui has a reported usage rate of 1.40% and win rate of 46.51% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,285 recorded battles. 1,940 wins and 2,231 losses (4,171 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 1.46% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=74,644 team slots) and 1.35% 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 -0.11 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 47.94% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=1,091 recorded appearances) and 46.63% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=1,008 recorded appearances), a change of -1.31 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 0.84% (R1398~; n=59,506 team slots) to 1.72% (~R1084; n=60,202 team slots), a spread of 0.88 percentage points. Overall usage was 1.40%. 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, Head Smash has the largest recorded team-use count (1,197; 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: Great Tusk: 47.7% wins in 986 recorded pair observations; Dragapult: 47.2% wins in 633 recorded pair observations; Corviknight: 51.4% wins in 630 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: Clodsire: 58.2% wins in 146 recorded pair observations; Dondozo: 53.7% wins in 177 recorded pair observations; Heatran: 49.3% wins in 142 recorded pair observations. Returned lower-win-rate opponent group: Walking Wake: 35.5% wins in 242 recorded pair observations; Iron Crown: 36.0% wins in 150 recorded pair observations; Zamazenta-*: 37.9% wins in 520 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%

Great Tusk
Great Tusk986 recorded pair observations · 0.66 pair observations per 100 analyzed battles
47.7%
Dragapult
Dragapult633 recorded pair observations · 0.42 pair observations per 100 analyzed battles
47.2%
Corviknight
Corviknight630 recorded pair observations · 0.42 pair observations per 100 analyzed battles
51.4%
Kingambit
Kingambit578 recorded pair observations · 0.39 pair observations per 100 analyzed battles
51.0%
Samurott-Hisui
Samurott-Hisui559 recorded pair observations · 0.37 pair observations per 100 analyzed battles
51.3%
Hatterene
Hatterene556 recorded pair observations · 0.37 pair observations per 100 analyzed battles
50.7%
Slowking-Galar
Slowking-Galar428 recorded pair observations · 0.29 pair observations per 100 analyzed battles
50.7%
Walking Wake
Walking Wake424 recorded pair observations · 0.28 pair observations per 100 analyzed battles
52.1%
Gholdengo
Gholdengo417 recorded pair observations · 0.28 pair observations per 100 analyzed battles
48.0%
Ogerpon-Wellspring
Ogerpon-Wellspring399 recorded pair observations · 0.27 pair observations per 100 analyzed battles
50.9%
Rillaboom
Rillaboom397 recorded pair observations · 0.27 pair observations per 100 analyzed battles
45.3%
Dragonite
Dragonite394 recorded pair observations · 0.26 pair observations per 100 analyzed battles
46.2%
Landorus-Therian
Landorus-Therian351 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.3%
Iron Valiant
Iron Valiant343 recorded pair observations · 0.23 pair observations per 100 analyzed battles
51.0%
Alomomola
Alomomola330 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.7%
Gliscor
Gliscor329 recorded pair observations · 0.22 pair observations per 100 analyzed battles
43.8%
Ogerpon
Ogerpon307 recorded pair observations · 0.21 pair observations per 100 analyzed battles
51.1%
Serperior
Serperior293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
41.0%
Garchomp
Garchomp289 recorded pair observations · 0.19 pair observations per 100 analyzed battles
41.9%
Quaquaval
Quaquaval252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
45.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1047 recorded pair observations · 0.70 pair observations per 100 analyzed battles
44.9%
Gholdengo
Gholdengo863 recorded pair observations · 0.58 pair observations per 100 analyzed battles
45.5%
Kingambit
Kingambit843 recorded pair observations · 0.56 pair observations per 100 analyzed battles
45.9%
Gliscor
Gliscor593 recorded pair observations · 0.40 pair observations per 100 analyzed battles
48.2%
Dragonite
Dragonite589 recorded pair observations · 0.39 pair observations per 100 analyzed battles
42.4%
Dragapult
Dragapult559 recorded pair observations · 0.37 pair observations per 100 analyzed battles
44.9%
Iron Valiant
Iron Valiant550 recorded pair observations · 0.37 pair observations per 100 analyzed battles
43.8%
Ogerpon-Wellspring
Ogerpon-Wellspring520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
39.2%
Zamazenta-*
Zamazenta-*520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
37.9%
Corviknight
Corviknight507 recorded pair observations · 0.34 pair observations per 100 analyzed battles
47.3%
Slowking-Galar
Slowking-Galar444 recorded pair observations · 0.30 pair observations per 100 analyzed battles
47.8%
Raging Bolt
Raging Bolt443 recorded pair observations · 0.30 pair observations per 100 analyzed battles
40.0%
Hatterene
Hatterene433 recorded pair observations · 0.29 pair observations per 100 analyzed battles
44.1%
Cinderace
Cinderace406 recorded pair observations · 0.27 pair observations per 100 analyzed battles
47.3%
Samurott-Hisui
Samurott-Hisui404 recorded pair observations · 0.27 pair observations per 100 analyzed battles
41.1%
Alomomola
Alomomola399 recorded pair observations · 0.27 pair observations per 100 analyzed battles
41.9%
Landorus-Therian
Landorus-Therian390 recorded pair observations · 0.26 pair observations per 100 analyzed battles
39.2%
Iron Treads
Iron Treads372 recorded pair observations · 0.25 pair observations per 100 analyzed battles
40.0%
Ceruledge
Ceruledge369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
45.3%
Darkrai
Darkrai369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
43.9%

Higher Win-rate Partners

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

Venusaur
Venusaur150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.3%
Raging Bolt
Raging Bolt218 recorded pair observations · 0.15 pair observations per 100 analyzed battles
52.8%
Walking Wake
Walking Wake424 recorded pair observations · 0.28 pair observations per 100 analyzed battles
52.1%
Corviknight
Corviknight630 recorded pair observations · 0.42 pair observations per 100 analyzed battles
51.4%
Samurott-Hisui
Samurott-Hisui559 recorded pair observations · 0.37 pair observations per 100 analyzed battles
51.3%
Ogerpon
Ogerpon307 recorded pair observations · 0.21 pair observations per 100 analyzed battles
51.1%
Sinistcha
Sinistcha174 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.1%
Torkoal
Torkoal219 recorded pair observations · 0.15 pair observations per 100 analyzed battles
51.1%
Iron Valiant
Iron Valiant343 recorded pair observations · 0.23 pair observations per 100 analyzed battles
51.0%
Kingambit
Kingambit578 recorded pair observations · 0.39 pair observations per 100 analyzed battles
51.0%

Lower Win-rate Partners

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

Serperior
Serperior293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
41.0%
Garchomp
Garchomp289 recorded pair observations · 0.19 pair observations per 100 analyzed battles
41.9%
Tyranitar
Tyranitar224 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.9%
Zamazenta-*
Zamazenta-*163 recorded pair observations · 0.11 pair observations per 100 analyzed battles
42.9%
Scizor
Scizor199 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.2%
Gliscor
Gliscor329 recorded pair observations · 0.22 pair observations per 100 analyzed battles
43.8%
Greninja-*
Greninja-*153 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.8%
Clefable
Clefable179 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.7%
Rillaboom
Rillaboom397 recorded pair observations · 0.27 pair observations per 100 analyzed battles
45.3%
Quaquaval
Quaquaval252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
45.6%

Higher Win-rate Opponent Teams

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

Clodsire
Clodsire146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
58.2%
Dondozo
Dondozo177 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.7%
Heatran
Heatran142 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.3%
Tornadus-Therian
Tornadus-Therian142 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.3%
Clefable
Clefable228 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.7%
Ting-Lu
Ting-Lu340 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.5%
Gliscor
Gliscor593 recorded pair observations · 0.40 pair observations per 100 analyzed battles
48.2%
Garchomp
Garchomp275 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.0%
Deoxys-Speed
Deoxys-Speed211 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.9%
Slowking-Galar
Slowking-Galar444 recorded pair observations · 0.30 pair observations per 100 analyzed battles
47.8%

Lower Win-rate Opponent Teams

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

Walking Wake
Walking Wake242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
35.5%
Iron Crown
Iron Crown150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
36.0%
Zamazenta-*
Zamazenta-*520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
37.9%
Landorus-Therian
Landorus-Therian390 recorded pair observations · 0.26 pair observations per 100 analyzed battles
39.2%
Ogerpon-Wellspring
Ogerpon-Wellspring520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
39.2%
Iron Treads
Iron Treads372 recorded pair observations · 0.25 pair observations per 100 analyzed battles
40.0%
Raging Bolt
Raging Bolt443 recorded pair observations · 0.30 pair observations per 100 analyzed battles
40.0%
Kyurem
Kyurem357 recorded pair observations · 0.24 pair observations per 100 analyzed battles
40.1%
Samurott-Hisui
Samurott-Hisui404 recorded pair observations · 0.27 pair observations per 100 analyzed battles
41.1%
Glimmora
Glimmora365 recorded pair observations · 0.24 pair observations per 100 analyzed battles
41.4%