Last Updated: 10/26/2026 11:03 [UTC]

Ninetales-Alola

Tier C

BSS Regulation M-C (Pokemon Champions)

5.23%Usage Rate
52.15%Win Rate
20.78%Lead Rate
45.41%Selection Rate
1217Avg Rating

2623 recorded team appearances · 1368 wins · 1255 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Aurora Veil Recorded use in 850 of 2623 distinct recorded team appearances (32.4%) 477 winning team uses of 850 recorded team uses
56.1%
Blizzard Recorded use in 326 of 2623 distinct recorded team appearances (12.4%) 156 winning team uses of 326 recorded team uses
47.9%
Freeze-Dry Recorded use in 323 of 2623 distinct recorded team appearances (12.3%) 179 winning team uses of 323 recorded team uses
55.4%
Encore Recorded use in 251 of 2623 distinct recorded team appearances (9.6%) 147 winning team uses of 251 recorded team uses
58.6%
Moonblast Recorded use in 228 of 2623 distinct recorded team appearances (8.7%) 134 winning team uses of 228 recorded team uses
58.8%
Nasty Plot Recorded use in 35 of 2623 distinct recorded team appearances (1.3%) 18 winning team uses of 35 recorded team uses
51.4%
Misty Terrain Recorded use in 29 of 2623 distinct recorded team appearances (1.1%) 16 winning team uses of 29 recorded team uses
55.2%
Baton Pass Recorded use in 23 of 2623 distinct recorded team appearances (0.9%) 11 winning team uses of 23 recorded team uses
47.8%
Weather Ball Recorded use in 12 of 2623 distinct recorded team appearances (0.5%) 6 winning team uses of 12 recorded team uses
50.0%
Agility Recorded use in 11 of 2623 distinct recorded team appearances (0.4%) 7 winning team uses of 11 recorded team uses
63.6%

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 11:01–2026/10/15 12:54 UTC 4.82 50.41 12542 605 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 5.41 55.31 12542 678 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 5.79 51.10 12542 726 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 4.90 51.63 12540 614 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 4.39 50.23 9968 438 Observed
~R1142 4.52 53.56 9958 450 Observed
~R1208 5.50 52.52 10104 556 Observed
~R1298 5.26 50.00 10004 526 Observed
R1298~ 6.44 53.91 10132 653 Observed

Ninetales-Alola Observed Statistics

Performance Metrics

Ninetales-Alola has a reported usage rate of 5.23% and win rate of 52.15% in BSS Regulation M-C (Pokemon Champions) (displayed tier: C). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,368 wins and 1,255 losses (2,623 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 4.82% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 4.90% 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 +0.08 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 50.41% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=605 recorded appearances) and 51.63% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=614 recorded appearances), a change of +1.22 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 4.39% (~R1089; n=9,968 team slots) to 6.44% (R1298~; n=10,132 team slots), a spread of 2.05 percentage points. Overall usage was 5.23%. 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, Aurora Veil has the largest recorded team-use count (850; 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: Baxcalibur: 56.7% wins in 1,103 recorded pair observations; Gholdengo: 55.1% wins in 717 recorded pair observations; Garchomp: 53.1% wins in 572 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: Barbaracle: 72.4% wins in 123 recorded pair observations; Eelektross: 71.0% wins in 31 recorded pair observations; Kangaskhan: 67.7% wins in 31 recorded pair observations. Returned lower-win-rate opponent group: Gallade: 37.5% wins in 48 recorded pair observations; Azumarill: 39.3% wins in 28 recorded pair observations; Emboar: 41.4% wins in 29 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%

Baxcalibur
Baxcalibur1103 recorded pair observations · 4.40 pair observations per 100 analyzed battles
56.7%
Gholdengo
Gholdengo717 recorded pair observations · 2.86 pair observations per 100 analyzed battles
55.1%
Garchomp
Garchomp572 recorded pair observations · 2.28 pair observations per 100 analyzed battles
53.1%
Primarina
Primarina538 recorded pair observations · 2.14 pair observations per 100 analyzed battles
52.4%
Samurott-Hisui
Samurott-Hisui482 recorded pair observations · 1.92 pair observations per 100 analyzed battles
60.6%
Salamence
Salamence465 recorded pair observations · 1.85 pair observations per 100 analyzed battles
51.8%
Blaziken
Blaziken424 recorded pair observations · 1.69 pair observations per 100 analyzed battles
49.5%
Lucario
Lucario417 recorded pair observations · 1.66 pair observations per 100 analyzed battles
53.7%
Corviknight
Corviknight355 recorded pair observations · 1.42 pair observations per 100 analyzed battles
50.4%
Golisopod
Golisopod297 recorded pair observations · 1.18 pair observations per 100 analyzed battles
53.5%
Archaludon
Archaludon295 recorded pair observations · 1.18 pair observations per 100 analyzed battles
58.0%
Kingambit
Kingambit269 recorded pair observations · 1.07 pair observations per 100 analyzed battles
51.3%
Gyarados
Gyarados264 recorded pair observations · 1.05 pair observations per 100 analyzed battles
60.2%
Indeedee
Indeedee228 recorded pair observations · 0.91 pair observations per 100 analyzed battles
60.5%
Aegislash
Aegislash223 recorded pair observations · 0.89 pair observations per 100 analyzed battles
54.3%
Metagross
Metagross218 recorded pair observations · 0.87 pair observations per 100 analyzed battles
54.1%
Blastoise
Blastoise215 recorded pair observations · 0.86 pair observations per 100 analyzed battles
62.3%
Rillaboom
Rillaboom202 recorded pair observations · 0.81 pair observations per 100 analyzed battles
49.0%
Empoleon
Empoleon192 recorded pair observations · 0.77 pair observations per 100 analyzed battles
53.6%
Hippowdon
Hippowdon191 recorded pair observations · 0.76 pair observations per 100 analyzed battles
46.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp864 recorded pair observations · 3.44 pair observations per 100 analyzed battles
47.9%
Primarina
Primarina618 recorded pair observations · 2.46 pair observations per 100 analyzed battles
47.2%
Hippowdon
Hippowdon511 recorded pair observations · 2.04 pair observations per 100 analyzed battles
55.6%
Archaludon
Archaludon496 recorded pair observations · 1.98 pair observations per 100 analyzed battles
53.6%
Gholdengo
Gholdengo475 recorded pair observations · 1.89 pair observations per 100 analyzed battles
48.0%
Mimikyu
Mimikyu439 recorded pair observations · 1.75 pair observations per 100 analyzed battles
47.8%
Salamence
Salamence434 recorded pair observations · 1.73 pair observations per 100 analyzed battles
47.5%
Corviknight
Corviknight400 recorded pair observations · 1.59 pair observations per 100 analyzed battles
48.2%
Golisopod
Golisopod380 recorded pair observations · 1.51 pair observations per 100 analyzed battles
47.4%
Basculegion
Basculegion363 recorded pair observations · 1.45 pair observations per 100 analyzed battles
50.7%
Lucario
Lucario327 recorded pair observations · 1.30 pair observations per 100 analyzed battles
47.1%
Charizard
Charizard323 recorded pair observations · 1.29 pair observations per 100 analyzed battles
49.9%
Kingambit
Kingambit307 recorded pair observations · 1.22 pair observations per 100 analyzed battles
59.6%
Baxcalibur
Baxcalibur306 recorded pair observations · 1.22 pair observations per 100 analyzed battles
50.3%
Metagross
Metagross276 recorded pair observations · 1.10 pair observations per 100 analyzed battles
47.1%
Clefable
Clefable269 recorded pair observations · 1.07 pair observations per 100 analyzed battles
60.2%
Meowscarada
Meowscarada263 recorded pair observations · 1.05 pair observations per 100 analyzed battles
47.9%
Dragonite
Dragonite251 recorded pair observations · 1.00 pair observations per 100 analyzed battles
51.8%
Rillaboom
Rillaboom229 recorded pair observations · 0.91 pair observations per 100 analyzed battles
58.5%
Scizor
Scizor229 recorded pair observations · 0.91 pair observations per 100 analyzed battles
61.1%

Higher Win-rate Partners

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

Kommo-o
Kommo-o30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
70.0%
Slowking
Slowking42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
64.3%
Blastoise
Blastoise215 recorded pair observations · 0.86 pair observations per 100 analyzed battles
62.3%
Hydreigon
Hydreigon76 recorded pair observations · 0.30 pair observations per 100 analyzed battles
61.8%
Kleavor
Kleavor34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
61.8%
Tinkaton
Tinkaton125 recorded pair observations · 0.50 pair observations per 100 analyzed battles
61.6%
Samurott-Hisui
Samurott-Hisui482 recorded pair observations · 1.92 pair observations per 100 analyzed battles
60.6%
Indeedee
Indeedee228 recorded pair observations · 0.91 pair observations per 100 analyzed battles
60.5%
Gyarados
Gyarados264 recorded pair observations · 1.05 pair observations per 100 analyzed battles
60.2%
Meganium
Meganium67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
59.7%

Lower Win-rate Partners

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

Gengar
Gengar32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
21.9%
Ariados
Ariados34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
29.4%
Alakazam
Alakazam28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
32.1%
Heracross
Heracross28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
32.1%
Incineroar
Incineroar50 recorded pair observations · 0.20 pair observations per 100 analyzed battles
34.0%
Glimmora
Glimmora122 recorded pair observations · 0.49 pair observations per 100 analyzed battles
35.2%
Beedrill
Beedrill39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
35.9%
Dragapult
Dragapult27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
37.0%
Malamar
Malamar46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
37.0%
Scizor
Scizor43 recorded pair observations · 0.17 pair observations per 100 analyzed battles
37.2%

Higher Win-rate Opponent Teams

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

Barbaracle
Barbaracle123 recorded pair observations · 0.49 pair observations per 100 analyzed battles
72.4%
Eelektross
Eelektross31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
71.0%
Kangaskhan
Kangaskhan31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
67.7%
Froslass
Froslass26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
65.4%
Sylveon
Sylveon64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
64.1%
Dragalge
Dragalge52 recorded pair observations · 0.21 pair observations per 100 analyzed battles
63.5%
Indeedee-F
Indeedee-F38 recorded pair observations · 0.15 pair observations per 100 analyzed battles
63.2%
Hydreigon
Hydreigon97 recorded pair observations · 0.39 pair observations per 100 analyzed battles
62.9%
Starmie
Starmie183 recorded pair observations · 0.73 pair observations per 100 analyzed battles
61.2%
Scizor
Scizor229 recorded pair observations · 0.91 pair observations per 100 analyzed battles
61.1%

Lower Win-rate Opponent Teams

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

Gallade
Gallade48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
37.5%
Azumarill
Azumarill28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.3%
Emboar
Emboar29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.4%
Tyranitar
Tyranitar74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
41.9%
Volcarona
Volcarona126 recorded pair observations · 0.50 pair observations per 100 analyzed battles
43.6%
Banette
Banette52 recorded pair observations · 0.21 pair observations per 100 analyzed battles
44.2%
Dragapult
Dragapult106 recorded pair observations · 0.42 pair observations per 100 analyzed battles
44.3%
Victreebel
Victreebel29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.8%
Torkoal
Torkoal33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.5%
Vanilluxe
Vanilluxe46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.6%