Last Updated: 10/25/2026 11:15 [UTC]

Arcanine-Hisui

Tier D

VGC 2026 Regulation M-C (Pokemon Champions)

4.95%Usage Rate
50.93%Win Rate
28.20%Lead Rate
61.76%Selection Rate
1290Avg Rating

32229 recorded team appearances · 16413 wins · 15816 losses · 10/11/2026–10/25/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Flare Blitz Recorded use in 9588 of 32230 distinct recorded team appearances (29.7%) 5219 winning team uses of 9588 recorded team uses
54.4%
Head Smash Recorded use in 8865 of 32230 distinct recorded team appearances (27.5%) 4496 winning team uses of 8865 recorded team uses
50.7%
Protect Recorded use in 6936 of 32230 distinct recorded team appearances (21.5%) 3207 winning team uses of 6936 recorded team uses
46.2%
Extreme Speed Recorded use in 4101 of 32230 distinct recorded team appearances (12.7%) 2165 winning team uses of 4101 recorded team uses
52.8%
Rock Slide Recorded use in 2038 of 32230 distinct recorded team appearances (6.3%) 1070 winning team uses of 2038 recorded team uses
52.5%
Close Combat Recorded use in 186 of 32230 distinct recorded team appearances (0.6%) 88 winning team uses of 186 recorded team uses
47.3%
Wild Charge Recorded use in 149 of 32230 distinct recorded team appearances (0.5%) 62 winning team uses of 149 recorded team uses
41.6%
Will-O-Wisp Recorded use in 47 of 32230 distinct recorded team appearances (0.1%) 20 winning team uses of 47 recorded team uses
42.6%
Heat Wave Recorded use in 42 of 32230 distinct recorded team appearances (0.1%) 15 winning team uses of 42 recorded team uses
35.7%
Psychic Fangs Recorded use in 42 of 32230 distinct recorded team appearances (0.1%) 21 winning team uses of 42 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: 2026/10/11 11:01–2026/10/14 22:03 UTC 5.60 50.33 162620 9105 Observed
Period 2: 2026/10/14 22:03–2026/10/18 07:58 UTC 5.36 50.73 162618 8712 Observed
Period 3: 2026/10/18 07:58–2026/10/21 17:31 UTC 4.76 51.70 162618 7739 Observed
Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC 4.10 51.09 162618 6673 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1132 4.21 51.80 129866 5467 Observed
~R1209 4.74 50.95 129712 6143 Observed
~R1304 5.20 51.75 129444 6727 Observed
~R1406 5.37 50.51 130156 6983 Observed
R1406~ 5.26 49.83 131296 6909 Observed

Arcanine-Hisui Observed Statistics

Performance Metrics

Arcanine-Hisui has a reported usage rate of 4.95% and win rate of 50.93% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/11/2026 to 10/25/2026 (UTC), with 325,237 recorded battles. 16,413 wins and 15,816 losses (32,229 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 5.60% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=162,620 team slots) and 4.10% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=162,618 team slots), a change of -1.50 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 50.33% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=9,105 recorded appearances) and 51.09% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=6,673 recorded appearances), a change of +0.76 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 4.21% (~R1132; n=129,866 team slots) to 5.37% (~R1406; n=130,156 team slots), a spread of 1.16 percentage points. Overall usage was 4.95%. 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, Flare Blitz has the largest recorded team-use count (9,588; 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: Rillaboom: 52.4% wins in 19,495 recorded pair observations; Raichu: 53.2% wins in 12,482 recorded pair observations; Sneasler: 51.8% wins in 11,730 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: Clefable: 59.6% wins in 438 recorded pair observations; Maushold: 59.2% wins in 655 recorded pair observations; Ceruledge: 58.6% wins in 520 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 44.1% wins in 1,393 recorded pair observations; Camerupt: 46.2% wins in 829 recorded pair observations; Froslass: 47.3% wins in 1,682 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%

Rillaboom
Rillaboom19495 recorded pair observations · 5.99 pair observations per 100 analyzed battles
52.4%
Raichu
Raichu12482 recorded pair observations · 3.84 pair observations per 100 analyzed battles
53.2%
Sneasler
Sneasler11730 recorded pair observations · 3.61 pair observations per 100 analyzed battles
51.8%
Gholdengo
Gholdengo10156 recorded pair observations · 3.12 pair observations per 100 analyzed battles
53.0%
Salamence
Salamence9494 recorded pair observations · 2.92 pair observations per 100 analyzed battles
52.8%
Kingambit
Kingambit8810 recorded pair observations · 2.71 pair observations per 100 analyzed battles
52.7%
Staraptor
Staraptor5943 recorded pair observations · 1.83 pair observations per 100 analyzed battles
52.8%
Froslass
Froslass5533 recorded pair observations · 1.70 pair observations per 100 analyzed battles
53.1%
Milotic
Milotic5371 recorded pair observations · 1.65 pair observations per 100 analyzed battles
50.5%
Indeedee-F
Indeedee-F4099 recorded pair observations · 1.26 pair observations per 100 analyzed battles
48.7%
Sylveon
Sylveon3820 recorded pair observations · 1.17 pair observations per 100 analyzed battles
52.1%
Garchomp
Garchomp3518 recorded pair observations · 1.08 pair observations per 100 analyzed battles
48.7%
Primarina
Primarina3150 recorded pair observations · 0.97 pair observations per 100 analyzed battles
54.6%
Basculegion
Basculegion2949 recorded pair observations · 0.91 pair observations per 100 analyzed battles
50.8%
Farigiraf
Farigiraf2578 recorded pair observations · 0.79 pair observations per 100 analyzed battles
49.9%
Whimsicott
Whimsicott2498 recorded pair observations · 0.77 pair observations per 100 analyzed battles
48.6%
Metagross
Metagross2360 recorded pair observations · 0.73 pair observations per 100 analyzed battles
49.4%
Gardevoir
Gardevoir1790 recorded pair observations · 0.55 pair observations per 100 analyzed battles
49.8%
Indeedee
Indeedee1681 recorded pair observations · 0.52 pair observations per 100 analyzed battles
50.1%
Dragonite
Dragonite1596 recorded pair observations · 0.49 pair observations per 100 analyzed battles
49.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom10307 recorded pair observations · 3.17 pair observations per 100 analyzed battles
51.0%
Sneasler
Sneasler9809 recorded pair observations · 3.02 pair observations per 100 analyzed battles
48.6%
Incineroar
Incineroar8855 recorded pair observations · 2.72 pair observations per 100 analyzed battles
51.4%
Garchomp
Garchomp8517 recorded pair observations · 2.62 pair observations per 100 analyzed battles
49.1%
Archaludon
Archaludon6341 recorded pair observations · 1.95 pair observations per 100 analyzed battles
47.7%
Raichu
Raichu5918 recorded pair observations · 1.82 pair observations per 100 analyzed battles
49.1%
Indeedee-F
Indeedee-F5737 recorded pair observations · 1.76 pair observations per 100 analyzed battles
50.4%
Kingambit
Kingambit5619 recorded pair observations · 1.73 pair observations per 100 analyzed battles
48.4%
Charizard
Charizard5596 recorded pair observations · 1.72 pair observations per 100 analyzed battles
48.6%
Farigiraf
Farigiraf5541 recorded pair observations · 1.70 pair observations per 100 analyzed battles
48.7%
Pelipper
Pelipper5301 recorded pair observations · 1.63 pair observations per 100 analyzed battles
48.3%
Golisopod
Golisopod4732 recorded pair observations · 1.45 pair observations per 100 analyzed battles
47.4%
Gholdengo
Gholdengo4283 recorded pair observations · 1.32 pair observations per 100 analyzed battles
51.8%
Basculegion
Basculegion3834 recorded pair observations · 1.18 pair observations per 100 analyzed battles
49.1%
Whimsicott
Whimsicott3732 recorded pair observations · 1.15 pair observations per 100 analyzed battles
53.5%
Salamence
Salamence3641 recorded pair observations · 1.12 pair observations per 100 analyzed battles
50.8%
Tyranitar
Tyranitar3122 recorded pair observations · 0.96 pair observations per 100 analyzed battles
52.6%
Volcarona
Volcarona2905 recorded pair observations · 0.89 pair observations per 100 analyzed battles
51.8%
Sylveon
Sylveon2884 recorded pair observations · 0.89 pair observations per 100 analyzed battles
49.8%
Milotic
Milotic2797 recorded pair observations · 0.86 pair observations per 100 analyzed battles
52.5%

Higher Win-rate Partners

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

Primarina
Primarina3150 recorded pair observations · 0.97 pair observations per 100 analyzed battles
54.6%
Kommo-o
Kommo-o1270 recorded pair observations · 0.39 pair observations per 100 analyzed battles
54.1%
Floette-Eternal
Floette-Eternal1130 recorded pair observations · 0.35 pair observations per 100 analyzed battles
53.2%
Raichu
Raichu12482 recorded pair observations · 3.84 pair observations per 100 analyzed battles
53.2%
Froslass
Froslass5533 recorded pair observations · 1.70 pair observations per 100 analyzed battles
53.1%
Gholdengo
Gholdengo10156 recorded pair observations · 3.12 pair observations per 100 analyzed battles
53.0%
Hydreigon
Hydreigon580 recorded pair observations · 0.18 pair observations per 100 analyzed battles
52.9%
Salamence
Salamence9494 recorded pair observations · 2.92 pair observations per 100 analyzed battles
52.8%
Staraptor
Staraptor5943 recorded pair observations · 1.83 pair observations per 100 analyzed battles
52.8%
Kingambit
Kingambit8810 recorded pair observations · 2.71 pair observations per 100 analyzed battles
52.7%

Lower Win-rate Partners

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

Grimmsnarl
Grimmsnarl525 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.5%
Charizard
Charizard834 recorded pair observations · 0.26 pair observations per 100 analyzed battles
44.6%
Heliolisk
Heliolisk468 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.1%
Lucario
Lucario1232 recorded pair observations · 0.38 pair observations per 100 analyzed battles
45.5%
Pyroar
Pyroar459 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.5%
Sableye
Sableye346 recorded pair observations · 0.11 pair observations per 100 analyzed battles
46.0%
Venusaur
Venusaur356 recorded pair observations · 0.11 pair observations per 100 analyzed battles
46.4%
Pelipper
Pelipper929 recorded pair observations · 0.29 pair observations per 100 analyzed battles
46.5%
Rotom-Wash
Rotom-Wash609 recorded pair observations · 0.19 pair observations per 100 analyzed battles
46.8%
Corviknight
Corviknight655 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.0%

Higher Win-rate Opponent Teams

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

Clefable
Clefable438 recorded pair observations · 0.13 pair observations per 100 analyzed battles
59.6%
Maushold
Maushold655 recorded pair observations · 0.20 pair observations per 100 analyzed battles
59.2%
Ceruledge
Ceruledge520 recorded pair observations · 0.16 pair observations per 100 analyzed battles
58.6%
Rotom-Wash
Rotom-Wash629 recorded pair observations · 0.19 pair observations per 100 analyzed battles
58.5%
Ninetales-Alola
Ninetales-Alola1066 recorded pair observations · 0.33 pair observations per 100 analyzed battles
56.9%
Vivillon
Vivillon391 recorded pair observations · 0.12 pair observations per 100 analyzed battles
56.5%
Zoroark-Hisui
Zoroark-Hisui427 recorded pair observations · 0.13 pair observations per 100 analyzed battles
56.2%
Aerodactyl
Aerodactyl994 recorded pair observations · 0.31 pair observations per 100 analyzed battles
55.8%
Gallade
Gallade428 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.8%
Sableye
Sableye809 recorded pair observations · 0.25 pair observations per 100 analyzed battles
55.5%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F1393 recorded pair observations · 0.43 pair observations per 100 analyzed battles
44.1%
Camerupt
Camerupt829 recorded pair observations · 0.25 pair observations per 100 analyzed battles
46.2%
Froslass
Froslass1682 recorded pair observations · 0.52 pair observations per 100 analyzed battles
47.3%
Golisopod
Golisopod4732 recorded pair observations · 1.45 pair observations per 100 analyzed battles
47.4%
Grapploct
Grapploct390 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.4%
Archaludon
Archaludon6341 recorded pair observations · 1.95 pair observations per 100 analyzed battles
47.7%
Venusaur
Venusaur2501 recorded pair observations · 0.77 pair observations per 100 analyzed battles
47.7%
Toxapex
Toxapex739 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.9%
Typhlosion-Hisui
Typhlosion-Hisui626 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.1%
Armarouge
Armarouge1414 recorded pair observations · 0.43 pair observations per 100 analyzed battles
48.2%