Last Updated: 10/26/2026 11:08 [UTC]

Ninetales-Alola

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

3.22%Usage Rate
47.66%Win Rate
23.94%Lead Rate
59.25%Selection Rate
1238Avg Rating

20748 recorded team appearances · 9888 wins · 10860 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Blizzard Recorded use in 5591 of 20748 distinct recorded team appearances (26.9%) 2864 winning team uses of 5591 recorded team uses
51.2%
Aurora Veil Recorded use in 4750 of 20748 distinct recorded team appearances (22.9%) 2306 winning team uses of 4750 recorded team uses
48.5%
Protect Recorded use in 1927 of 20748 distinct recorded team appearances (9.3%) 868 winning team uses of 1927 recorded team uses
45.0%
Freeze-Dry Recorded use in 1788 of 20748 distinct recorded team appearances (8.6%) 903 winning team uses of 1788 recorded team uses
50.5%
Moonblast Recorded use in 1485 of 20748 distinct recorded team appearances (7.2%) 729 winning team uses of 1485 recorded team uses
49.1%
Encore Recorded use in 700 of 20748 distinct recorded team appearances (3.4%) 378 winning team uses of 700 recorded team uses
54.0%
Icy Wind Recorded use in 511 of 20748 distinct recorded team appearances (2.5%) 226 winning team uses of 511 recorded team uses
44.2%
Dazzling Gleam Recorded use in 316 of 20748 distinct recorded team appearances (1.5%) 143 winning team uses of 316 recorded team uses
45.3%
Helping Hand Recorded use in 116 of 20748 distinct recorded team appearances (0.6%) 53 winning team uses of 116 recorded team uses
45.7%
Disable Recorded use in 83 of 20748 distinct recorded team appearances (0.4%) 44 winning team uses of 83 recorded team uses
53.0%

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: 2026/10/12 11:01–2026/10/16 00:34 UTC 2.99 46.34 160968 4812 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 2.99 48.90 160966 4818 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 3.01 47.73 160966 4852 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 3.89 47.65 160966 6266 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 4.22 48.23 128104 5412 Observed
~R1208 3.89 47.43 129182 5028 Observed
~R1302 3.37 46.69 126962 4273 Observed
~R1405 2.44 47.03 130626 3181 Observed
R1405~ 2.21 49.12 128992 2854 Observed

Ninetales-Alola Observed Statistics

Performance Metrics

Ninetales-Alola has a reported usage rate of 3.22% and win rate of 47.66% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 9,888 wins and 10,860 losses (20,748 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 2.99% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 3.89% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 team slots), a change of +0.90 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 46.34% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=4,812 recorded appearances) and 47.65% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=6,266 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 2.21% (R1405~; n=128,992 team slots) to 4.22% (~R1129; n=128,104 team slots), a spread of 2.01 percentage points. Overall usage was 3.22%. 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, Blizzard has the largest recorded team-use count (5,591; 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: 49.5% wins in 6,699 recorded pair observations; Sneasler: 48.8% wins in 5,687 recorded pair observations; Incineroar: 49.2% wins in 5,505 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: Tsareena: 57.9% wins in 316 recorded pair observations; Clefable: 53.4% wins in 320 recorded pair observations; Rotom-Wash: 53.3% wins in 411 recorded pair observations. Returned lower-win-rate opponent group: Primarina: 42.9% wins in 1,046 recorded pair observations; Gardevoir: 43.1% wins in 1,304 recorded pair observations; Typhlosion-Hisui: 43.1% wins in 394 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
Rillaboom6699 recorded pair observations · 2.08 pair observations per 100 analyzed battles
49.5%
Sneasler
Sneasler5687 recorded pair observations · 1.77 pair observations per 100 analyzed battles
48.8%
Incineroar
Incineroar5505 recorded pair observations · 1.71 pair observations per 100 analyzed battles
49.2%
Baxcalibur
Baxcalibur4325 recorded pair observations · 1.34 pair observations per 100 analyzed battles
46.2%
Raichu
Raichu4281 recorded pair observations · 1.33 pair observations per 100 analyzed battles
49.4%
Kingambit
Kingambit4056 recorded pair observations · 1.26 pair observations per 100 analyzed battles
49.7%
Garchomp
Garchomp3368 recorded pair observations · 1.05 pair observations per 100 analyzed battles
50.0%
Indeedee-F
Indeedee-F2716 recorded pair observations · 0.84 pair observations per 100 analyzed battles
47.5%
Milotic
Milotic2402 recorded pair observations · 0.75 pair observations per 100 analyzed battles
49.6%
Volcarona
Volcarona2395 recorded pair observations · 0.74 pair observations per 100 analyzed battles
49.6%
Basculegion
Basculegion2278 recorded pair observations · 0.71 pair observations per 100 analyzed battles
50.1%
Gholdengo
Gholdengo2095 recorded pair observations · 0.65 pair observations per 100 analyzed battles
49.5%
Gengar
Gengar2033 recorded pair observations · 0.63 pair observations per 100 analyzed battles
50.3%
Sinistcha
Sinistcha2033 recorded pair observations · 0.63 pair observations per 100 analyzed battles
46.9%
Blaziken
Blaziken1768 recorded pair observations · 0.55 pair observations per 100 analyzed battles
48.9%
Farigiraf
Farigiraf1673 recorded pair observations · 0.52 pair observations per 100 analyzed battles
47.1%
Whimsicott
Whimsicott1464 recorded pair observations · 0.45 pair observations per 100 analyzed battles
46.4%
Dragonite
Dragonite1444 recorded pair observations · 0.45 pair observations per 100 analyzed battles
48.6%
Froslass
Froslass1406 recorded pair observations · 0.44 pair observations per 100 analyzed battles
42.9%
Salamence
Salamence1375 recorded pair observations · 0.43 pair observations per 100 analyzed battles
50.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom6322 recorded pair observations · 1.96 pair observations per 100 analyzed battles
47.0%
Sneasler
Sneasler6140 recorded pair observations · 1.91 pair observations per 100 analyzed battles
46.6%
Incineroar
Incineroar5487 recorded pair observations · 1.70 pair observations per 100 analyzed battles
47.4%
Garchomp
Garchomp5230 recorded pair observations · 1.62 pair observations per 100 analyzed battles
46.9%
Archaludon
Archaludon3857 recorded pair observations · 1.20 pair observations per 100 analyzed battles
47.7%
Indeedee-F
Indeedee-F3840 recorded pair observations · 1.19 pair observations per 100 analyzed battles
46.1%
Raichu
Raichu3799 recorded pair observations · 1.18 pair observations per 100 analyzed battles
46.5%
Pelipper
Pelipper3474 recorded pair observations · 1.08 pair observations per 100 analyzed battles
50.0%
Farigiraf
Farigiraf3420 recorded pair observations · 1.06 pair observations per 100 analyzed battles
44.6%
Kingambit
Kingambit3409 recorded pair observations · 1.06 pair observations per 100 analyzed battles
45.0%
Charizard
Charizard3301 recorded pair observations · 1.03 pair observations per 100 analyzed battles
46.3%
Golisopod
Golisopod2936 recorded pair observations · 0.91 pair observations per 100 analyzed battles
46.0%
Gholdengo
Gholdengo2630 recorded pair observations · 0.82 pair observations per 100 analyzed battles
48.1%
Whimsicott
Whimsicott2575 recorded pair observations · 0.80 pair observations per 100 analyzed battles
49.8%
Basculegion
Basculegion2355 recorded pair observations · 0.73 pair observations per 100 analyzed battles
44.8%
Salamence
Salamence2293 recorded pair observations · 0.71 pair observations per 100 analyzed battles
47.4%
Sinistcha
Sinistcha2027 recorded pair observations · 0.63 pair observations per 100 analyzed battles
48.9%
Tyranitar
Tyranitar1988 recorded pair observations · 0.62 pair observations per 100 analyzed battles
44.0%
Volcarona
Volcarona1755 recorded pair observations · 0.55 pair observations per 100 analyzed battles
47.5%
Milotic
Milotic1741 recorded pair observations · 0.54 pair observations per 100 analyzed battles
47.0%

Higher Win-rate Partners

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

Swampert
Swampert349 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.9%
Staraptor
Staraptor1139 recorded pair observations · 0.35 pair observations per 100 analyzed battles
51.8%
Golisopod
Golisopod1012 recorded pair observations · 0.31 pair observations per 100 analyzed battles
51.5%
Absol
Absol650 recorded pair observations · 0.20 pair observations per 100 analyzed battles
50.9%
Delphox
Delphox755 recorded pair observations · 0.23 pair observations per 100 analyzed battles
50.6%
Chandelure
Chandelure337 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.5%
Salamence
Salamence1375 recorded pair observations · 0.43 pair observations per 100 analyzed battles
50.5%
Gengar
Gengar2033 recorded pair observations · 0.63 pair observations per 100 analyzed battles
50.3%
Gyarados
Gyarados546 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.2%
Basculegion
Basculegion2278 recorded pair observations · 0.71 pair observations per 100 analyzed battles
50.1%

Lower Win-rate Partners

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

Floette-Eternal
Floette-Eternal351 recorded pair observations · 0.11 pair observations per 100 analyzed battles
42.7%
Froslass
Froslass1406 recorded pair observations · 0.44 pair observations per 100 analyzed battles
42.9%
Lopunny
Lopunny366 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.4%
Rotom-Wash
Rotom-Wash528 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.6%
Meowscarada
Meowscarada352 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.0%
Corviknight
Corviknight524 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.1%
Maushold
Maushold419 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.4%
Sableye
Sableye348 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.8%
Typhlosion-Hisui
Typhlosion-Hisui477 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.9%
Scizor
Scizor322 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.0%

Higher Win-rate Opponent Teams

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

Tsareena
Tsareena316 recorded pair observations · 0.10 pair observations per 100 analyzed battles
57.9%
Clefable
Clefable320 recorded pair observations · 0.10 pair observations per 100 analyzed battles
53.4%
Rotom-Wash
Rotom-Wash411 recorded pair observations · 0.13 pair observations per 100 analyzed battles
53.3%
Sceptile
Sceptile499 recorded pair observations · 0.16 pair observations per 100 analyzed battles
53.3%
Blastoise
Blastoise540 recorded pair observations · 0.17 pair observations per 100 analyzed battles
53.1%
Maushold
Maushold424 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.8%
Sableye
Sableye640 recorded pair observations · 0.20 pair observations per 100 analyzed battles
52.7%
Espathra
Espathra442 recorded pair observations · 0.14 pair observations per 100 analyzed battles
52.5%
Rotom-Heat
Rotom-Heat447 recorded pair observations · 0.14 pair observations per 100 analyzed battles
52.4%
Toxapex
Toxapex436 recorded pair observations · 0.14 pair observations per 100 analyzed battles
52.3%

Lower Win-rate Opponent Teams

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

Primarina
Primarina1046 recorded pair observations · 0.32 pair observations per 100 analyzed battles
42.9%
Gardevoir
Gardevoir1304 recorded pair observations · 0.41 pair observations per 100 analyzed battles
43.1%
Typhlosion-Hisui
Typhlosion-Hisui394 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.1%
Arcanine-Hisui
Arcanine-Hisui1048 recorded pair observations · 0.33 pair observations per 100 analyzed battles
43.5%
Camerupt
Camerupt513 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.5%
Politoed
Politoed1550 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.8%
Sylveon
Sylveon1680 recorded pair observations · 0.52 pair observations per 100 analyzed battles
43.8%
Tyranitar
Tyranitar1988 recorded pair observations · 0.62 pair observations per 100 analyzed battles
44.0%
Torkoal
Torkoal1142 recorded pair observations · 0.35 pair observations per 100 analyzed battles
44.2%
Excadrill
Excadrill1391 recorded pair observations · 0.43 pair observations per 100 analyzed battles
44.4%