Last Updated: 10/10/2026 14:12 [UTC]

Ninetales-Alola

Tier E

OU (Over Used)

2.23%Usage Rate
49.41%Win Rate
37.36%Lead Rate
1248Avg Rating

6648 recorded team appearances · 3285 wins · 3363 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Aurora Veil Recorded use in 3865 of 6648 distinct recorded team appearances (58.1%) 1985 winning team uses of 3865 recorded team uses
51.4%
Freeze-Dry Recorded use in 1374 of 6648 distinct recorded team appearances (20.7%) 713 winning team uses of 1374 recorded team uses
51.9%
Moonblast Recorded use in 1160 of 6648 distinct recorded team appearances (17.4%) 565 winning team uses of 1160 recorded team uses
48.7%
Encore Recorded use in 1080 of 6648 distinct recorded team appearances (16.2%) 566 winning team uses of 1080 recorded team uses
52.4%
Blizzard Recorded use in 865 of 6648 distinct recorded team appearances (13.0%) 422 winning team uses of 865 recorded team uses
48.8%
Nasty Plot Recorded use in 131 of 6648 distinct recorded team appearances (2.0%) 72 winning team uses of 131 recorded team uses
55.0%
Draining Kiss Recorded use in 82 of 6648 distinct recorded team appearances (1.2%) 39 winning team uses of 82 recorded team uses
47.6%
Chilling Water Recorded use in 74 of 6648 distinct recorded team appearances (1.1%) 32 winning team uses of 74 recorded team uses
43.2%
Dark Pulse Recorded use in 46 of 6648 distinct recorded team appearances (0.7%) 17 winning team uses of 46 recorded team uses
37.0%
Snowscape Recorded use in 46 of 6648 distinct recorded team appearances (0.7%) 23 winning team uses of 46 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 15:45 JST 2.31 49.02 74642 1726 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.32 50.29 74642 1732 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 2.02 48.91 74640 1509 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.25 49.38 74640 1681 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.88 53.35 60200 1134 Observed
~R1156 2.12 47.66 59416 1261 Observed
~R1268 2.52 48.73 59484 1498 Observed
~R1398 2.39 48.78 59960 1433 Observed
R1398~ 2.22 49.17 59504 1322 Observed

Ninetales-Alola Observed Statistics

Performance Metrics

Ninetales-Alola has a reported usage rate of 2.23% and win rate of 49.41% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 3,285 wins and 3,363 losses (6,648 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 2.31% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.25% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=74,640 team slots), a change of -0.06 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 49.02% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=1,726 recorded appearances) and 49.38% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,681 recorded appearances), a change of +0.36 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 1.88% (~R1084; n=60,200 team slots) to 2.52% (~R1268; n=59,484 team slots), a spread of 0.64 percentage points. Overall usage was 2.23%. 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 (3,865; 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: 50.5% wins in 1,402 recorded pair observations; Kingambit: 52.7% wins in 1,120 recorded pair observations; Kyurem: 49.7% wins in 1,080 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: Greninja-*: 57.1% wins in 177 recorded pair observations; Barraskewda: 56.0% wins in 157 recorded pair observations; Pelipper: 55.1% wins in 294 recorded pair observations. Returned lower-win-rate opponent group: Iron Crown: 41.4% wins in 268 recorded pair observations; Cresselia: 42.6% wins in 155 recorded pair observations; Excadrill: 43.7% wins in 174 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 Tusk1402 recorded pair observations · 0.94 pair observations per 100 analyzed battles
50.5%
Kingambit
Kingambit1120 recorded pair observations · 0.75 pair observations per 100 analyzed battles
52.7%
Kyurem
Kyurem1080 recorded pair observations · 0.72 pair observations per 100 analyzed battles
49.7%
Gholdengo
Gholdengo1006 recorded pair observations · 0.67 pair observations per 100 analyzed battles
51.4%
Ogerpon-Wellspring
Ogerpon-Wellspring1002 recorded pair observations · 0.67 pair observations per 100 analyzed battles
52.2%
Ceruledge
Ceruledge763 recorded pair observations · 0.51 pair observations per 100 analyzed battles
52.4%
Cinderace
Cinderace751 recorded pair observations · 0.50 pair observations per 100 analyzed battles
51.0%
Gliscor
Gliscor619 recorded pair observations · 0.41 pair observations per 100 analyzed battles
51.4%
Dragonite
Dragonite615 recorded pair observations · 0.41 pair observations per 100 analyzed battles
48.1%
Zamazenta-*
Zamazenta-*611 recorded pair observations · 0.41 pair observations per 100 analyzed battles
53.9%
Darkrai
Darkrai603 recorded pair observations · 0.40 pair observations per 100 analyzed battles
54.7%
Glimmora
Glimmora574 recorded pair observations · 0.38 pair observations per 100 analyzed battles
47.4%
Rillaboom
Rillaboom551 recorded pair observations · 0.37 pair observations per 100 analyzed battles
50.6%
Raging Bolt
Raging Bolt472 recorded pair observations · 0.32 pair observations per 100 analyzed battles
59.5%
Hatterene
Hatterene461 recorded pair observations · 0.31 pair observations per 100 analyzed battles
50.3%
Dragapult
Dragapult454 recorded pair observations · 0.30 pair observations per 100 analyzed battles
49.6%
Slowking-Galar
Slowking-Galar453 recorded pair observations · 0.30 pair observations per 100 analyzed battles
47.5%
Corviknight
Corviknight438 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.0%
Kommo-o
Kommo-o429 recorded pair observations · 0.29 pair observations per 100 analyzed battles
51.3%
Landorus-Therian
Landorus-Therian424 recorded pair observations · 0.28 pair observations per 100 analyzed battles
52.1%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1737 recorded pair observations · 1.16 pair observations per 100 analyzed battles
47.8%
Gholdengo
Gholdengo1390 recorded pair observations · 0.93 pair observations per 100 analyzed battles
44.5%
Kingambit
Kingambit1361 recorded pair observations · 0.91 pair observations per 100 analyzed battles
49.2%
Dragonite
Dragonite975 recorded pair observations · 0.65 pair observations per 100 analyzed battles
46.6%
Ogerpon-Wellspring
Ogerpon-Wellspring952 recorded pair observations · 0.64 pair observations per 100 analyzed battles
46.2%
Iron Valiant
Iron Valiant943 recorded pair observations · 0.63 pair observations per 100 analyzed battles
46.5%
Dragapult
Dragapult924 recorded pair observations · 0.62 pair observations per 100 analyzed battles
50.3%
Zamazenta-*
Zamazenta-*906 recorded pair observations · 0.61 pair observations per 100 analyzed battles
45.0%
Gliscor
Gliscor886 recorded pair observations · 0.59 pair observations per 100 analyzed battles
49.8%
Corviknight
Corviknight830 recorded pair observations · 0.56 pair observations per 100 analyzed battles
50.8%
Raging Bolt
Raging Bolt781 recorded pair observations · 0.52 pair observations per 100 analyzed battles
49.4%
Hatterene
Hatterene763 recorded pair observations · 0.51 pair observations per 100 analyzed battles
49.1%
Slowking-Galar
Slowking-Galar745 recorded pair observations · 0.50 pair observations per 100 analyzed battles
53.6%
Cinderace
Cinderace721 recorded pair observations · 0.48 pair observations per 100 analyzed battles
45.2%
Iron Treads
Iron Treads673 recorded pair observations · 0.45 pair observations per 100 analyzed battles
49.6%
Landorus-Therian
Landorus-Therian655 recorded pair observations · 0.44 pair observations per 100 analyzed battles
47.0%
Kyurem
Kyurem642 recorded pair observations · 0.43 pair observations per 100 analyzed battles
53.6%
Samurott-Hisui
Samurott-Hisui642 recorded pair observations · 0.43 pair observations per 100 analyzed battles
49.7%
Alomomola
Alomomola641 recorded pair observations · 0.43 pair observations per 100 analyzed battles
47.4%
Ceruledge
Ceruledge601 recorded pair observations · 0.40 pair observations per 100 analyzed battles
48.2%

Higher Win-rate Partners

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

Latias
Latias388 recorded pair observations · 0.26 pair observations per 100 analyzed battles
61.3%
Maushold
Maushold297 recorded pair observations · 0.20 pair observations per 100 analyzed battles
59.6%
Raging Bolt
Raging Bolt472 recorded pair observations · 0.32 pair observations per 100 analyzed battles
59.5%
Okidogi
Okidogi222 recorded pair observations · 0.15 pair observations per 100 analyzed battles
58.6%
Manaphy
Manaphy188 recorded pair observations · 0.13 pair observations per 100 analyzed battles
57.5%
Darkrai
Darkrai603 recorded pair observations · 0.40 pair observations per 100 analyzed battles
54.7%
Clodsire
Clodsire207 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.6%
Skeledirge
Skeledirge280 recorded pair observations · 0.19 pair observations per 100 analyzed battles
53.9%
Zamazenta-*
Zamazenta-*611 recorded pair observations · 0.41 pair observations per 100 analyzed battles
53.9%
Zapdos
Zapdos355 recorded pair observations · 0.24 pair observations per 100 analyzed battles
53.5%

Lower Win-rate Partners

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

Tornadus-Therian
Tornadus-Therian150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.0%
Metagross
Metagross176 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.6%
Avalugg
Avalugg187 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.3%
Greninja-*
Greninja-*189 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.4%
Mamoswine
Mamoswine216 recorded pair observations · 0.14 pair observations per 100 analyzed battles
43.5%
Sandslash-Alola
Sandslash-Alola275 recorded pair observations · 0.18 pair observations per 100 analyzed battles
44.4%
Frosmoth
Frosmoth226 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.7%
Gengar
Gengar155 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.2%
Cloyster
Cloyster334 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.5%
Incineroar
Incineroar216 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.8%

Higher Win-rate Opponent Teams

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

Greninja-*
Greninja-*177 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.1%
Barraskewda
Barraskewda157 recorded pair observations · 0.11 pair observations per 100 analyzed battles
56.0%
Pelipper
Pelipper294 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.1%
Weavile
Weavile188 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.8%
Serperior
Serperior159 recorded pair observations · 0.11 pair observations per 100 analyzed battles
54.7%
Torkoal
Torkoal234 recorded pair observations · 0.16 pair observations per 100 analyzed battles
53.9%
Kyurem
Kyurem642 recorded pair observations · 0.43 pair observations per 100 analyzed battles
53.6%
Slowking-Galar
Slowking-Galar745 recorded pair observations · 0.50 pair observations per 100 analyzed battles
53.6%
Zapdos
Zapdos464 recorded pair observations · 0.31 pair observations per 100 analyzed battles
52.8%
Enamorus
Enamorus242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
52.5%

Lower Win-rate Opponent Teams

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

Iron Crown
Iron Crown268 recorded pair observations · 0.18 pair observations per 100 analyzed battles
41.4%
Cresselia
Cresselia155 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.6%
Excadrill
Excadrill174 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.7%
Ogerpon
Ogerpon254 recorded pair observations · 0.17 pair observations per 100 analyzed battles
43.7%
Tornadus-Therian
Tornadus-Therian213 recorded pair observations · 0.14 pair observations per 100 analyzed battles
43.7%
Iron Moth
Iron Moth487 recorded pair observations · 0.33 pair observations per 100 analyzed battles
44.1%
Moltres
Moltres276 recorded pair observations · 0.18 pair observations per 100 analyzed battles
44.2%
Ting-Lu
Ting-Lu554 recorded pair observations · 0.37 pair observations per 100 analyzed battles
44.4%
Gholdengo
Gholdengo1390 recorded pair observations · 0.93 pair observations per 100 analyzed battles
44.5%
Toxapex
Toxapex246 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.7%