Last Updated: 10/10/2026 14:13 [UTC]

Ninetales

Tier D

OU (Over Used)

2.85%Usage Rate
51.49%Win Rate
53.31%Lead Rate
1279Avg Rating

8500 recorded team appearances · 4377 wins · 4123 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Will-O-Wisp Recorded use in 1817 of 8501 distinct recorded team appearances (21.4%) 955 winning team uses of 1817 recorded team uses
52.6%
Encore Recorded use in 1347 of 8501 distinct recorded team appearances (15.8%) 721 winning team uses of 1347 recorded team uses
53.5%
Overheat Recorded use in 1133 of 8501 distinct recorded team appearances (13.3%) 609 winning team uses of 1133 recorded team uses
53.8%
Weather Ball Recorded use in 943 of 8501 distinct recorded team appearances (11.1%) 497 winning team uses of 943 recorded team uses
52.7%
Healing Wish Recorded use in 907 of 8501 distinct recorded team appearances (10.7%) 438 winning team uses of 907 recorded team uses
48.3%
Flamethrower Recorded use in 470 of 8501 distinct recorded team appearances (5.5%) 231 winning team uses of 470 recorded team uses
49.1%
Solar Beam Recorded use in 426 of 8501 distinct recorded team appearances (5.0%) 187 winning team uses of 426 recorded team uses
43.9%
Scorching Sands Recorded use in 196 of 8501 distinct recorded team appearances (2.3%) 82 winning team uses of 196 recorded team uses
41.8%
Fire Blast Recorded use in 117 of 8501 distinct recorded team appearances (1.4%) 58 winning team uses of 117 recorded team uses
49.6%
Nasty Plot Recorded use in 104 of 8501 distinct recorded team appearances (1.2%) 44 winning team uses of 104 recorded team uses
42.3%

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 15:45 JST 2.84 52.74 74642 2118 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.91 52.32 74642 2175 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 3.00 50.89 74640 2236 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.64 49.92 74640 1971 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.11 54.10 60200 1268 Observed
~R1156 2.37 52.67 59416 1407 Observed
~R1268 2.80 51.98 59484 1664 Observed
~R1398 3.38 48.77 59960 2026 Observed
R1398~ 3.59 51.38 59504 2135 Observed

Ninetales Observed Statistics

Performance Metrics

Ninetales has a reported usage rate of 2.85% and win rate of 51.49% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 4,377 wins and 4,123 losses (8,500 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 2.84% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.64% 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 -0.20 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 52.74% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=2,118 recorded appearances) and 49.92% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,971 recorded appearances), a change of -2.82 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 2.11% (~R1084; n=60,200 team slots) to 3.59% (R1398~; n=59,504 team slots), a spread of 1.48 percentage points. Overall usage was 2.85%. 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, Will-O-Wisp has the largest recorded team-use count (1,817; 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: Walking Wake: 52.7% wins in 6,839 recorded pair observations; Great Tusk: 53.6% wins in 6,258 recorded pair observations; Ceruledge: 51.3% wins in 3,085 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: Rotom-Wash: 61.7% wins in 201 recorded pair observations; Venusaur: 59.5% wins in 178 recorded pair observations; Maushold: 57.7% wins in 168 recorded pair observations. Returned lower-win-rate opponent group: Araquanid: 39.2% wins in 181 recorded pair observations; Iron Moth: 42.4% wins in 620 recorded pair observations; Excadrill: 43.5% wins in 223 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%

Walking Wake
Walking Wake6839 recorded pair observations · 4.58 pair observations per 100 analyzed battles
52.7%
Great Tusk
Great Tusk6258 recorded pair observations · 4.19 pair observations per 100 analyzed battles
53.6%
Ceruledge
Ceruledge3085 recorded pair observations · 2.07 pair observations per 100 analyzed battles
51.3%
Venusaur
Venusaur2890 recorded pair observations · 1.94 pair observations per 100 analyzed battles
51.1%
Hatterene
Hatterene2146 recorded pair observations · 1.44 pair observations per 100 analyzed battles
53.0%
Raging Bolt
Raging Bolt1920 recorded pair observations · 1.29 pair observations per 100 analyzed battles
56.6%
Cresselia
Cresselia1453 recorded pair observations · 0.97 pair observations per 100 analyzed battles
53.2%
Slither Wing
Slither Wing1432 recorded pair observations · 0.96 pair observations per 100 analyzed battles
54.7%
Iron Moth
Iron Moth902 recorded pair observations · 0.60 pair observations per 100 analyzed battles
55.2%
Kingambit
Kingambit882 recorded pair observations · 0.59 pair observations per 100 analyzed battles
54.1%
Zarude
Zarude845 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.2%
Cinderace
Cinderace785 recorded pair observations · 0.53 pair observations per 100 analyzed battles
50.7%
Lilligant-Hisui
Lilligant-Hisui734 recorded pair observations · 0.49 pair observations per 100 analyzed battles
51.2%
Corviknight
Corviknight613 recorded pair observations · 0.41 pair observations per 100 analyzed battles
54.6%
Blaziken
Blaziken602 recorded pair observations · 0.40 pair observations per 100 analyzed battles
49.0%
Whimsicott
Whimsicott590 recorded pair observations · 0.40 pair observations per 100 analyzed battles
51.4%
Dragonite
Dragonite399 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.4%
Torkoal
Torkoal386 recorded pair observations · 0.26 pair observations per 100 analyzed battles
54.1%
Charizard
Charizard345 recorded pair observations · 0.23 pair observations per 100 analyzed battles
38.0%
Landorus-Therian
Landorus-Therian285 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk2396 recorded pair observations · 1.61 pair observations per 100 analyzed battles
50.7%
Gholdengo
Gholdengo1811 recorded pair observations · 1.21 pair observations per 100 analyzed battles
52.9%
Kingambit
Kingambit1729 recorded pair observations · 1.16 pair observations per 100 analyzed battles
50.8%
Zamazenta-*
Zamazenta-*1236 recorded pair observations · 0.83 pair observations per 100 analyzed battles
49.4%
Ogerpon-Wellspring
Ogerpon-Wellspring1222 recorded pair observations · 0.82 pair observations per 100 analyzed battles
51.5%
Dragonite
Dragonite1192 recorded pair observations · 0.80 pair observations per 100 analyzed battles
47.1%
Dragapult
Dragapult1169 recorded pair observations · 0.78 pair observations per 100 analyzed battles
50.5%
Iron Valiant
Iron Valiant1139 recorded pair observations · 0.76 pair observations per 100 analyzed battles
49.9%
Gliscor
Gliscor1126 recorded pair observations · 0.75 pair observations per 100 analyzed battles
54.0%
Corviknight
Corviknight1083 recorded pair observations · 0.73 pair observations per 100 analyzed battles
50.1%
Raging Bolt
Raging Bolt1003 recorded pair observations · 0.67 pair observations per 100 analyzed battles
45.0%
Slowking-Galar
Slowking-Galar983 recorded pair observations · 0.66 pair observations per 100 analyzed battles
45.5%
Hatterene
Hatterene950 recorded pair observations · 0.64 pair observations per 100 analyzed battles
45.5%
Cinderace
Cinderace927 recorded pair observations · 0.62 pair observations per 100 analyzed battles
49.4%
Alomomola
Alomomola903 recorded pair observations · 0.60 pair observations per 100 analyzed battles
50.4%
Samurott-Hisui
Samurott-Hisui865 recorded pair observations · 0.58 pair observations per 100 analyzed battles
49.5%
Iron Treads
Iron Treads840 recorded pair observations · 0.56 pair observations per 100 analyzed battles
49.8%
Landorus-Therian
Landorus-Therian816 recorded pair observations · 0.55 pair observations per 100 analyzed battles
48.2%
Kyurem
Kyurem804 recorded pair observations · 0.54 pair observations per 100 analyzed battles
49.5%
Darkrai
Darkrai762 recorded pair observations · 0.51 pair observations per 100 analyzed battles
53.1%

Higher Win-rate Partners

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

Espeon
Espeon151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
72.2%
Zamazenta-*
Zamazenta-*234 recorded pair observations · 0.16 pair observations per 100 analyzed battles
59.4%
Raging Bolt
Raging Bolt1920 recorded pair observations · 1.29 pair observations per 100 analyzed battles
56.6%
Iron Moth
Iron Moth902 recorded pair observations · 0.60 pair observations per 100 analyzed battles
55.2%
Heatran
Heatran142 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.9%
Glimmora
Glimmora190 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.7%
Slither Wing
Slither Wing1432 recorded pair observations · 0.96 pair observations per 100 analyzed battles
54.7%
Corviknight
Corviknight613 recorded pair observations · 0.41 pair observations per 100 analyzed battles
54.6%
Kingambit
Kingambit882 recorded pair observations · 0.59 pair observations per 100 analyzed battles
54.1%
Torkoal
Torkoal386 recorded pair observations · 0.26 pair observations per 100 analyzed battles
54.1%

Lower Win-rate Partners

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

Charizard
Charizard345 recorded pair observations · 0.23 pair observations per 100 analyzed battles
38.0%
Gliscor
Gliscor161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
41.0%
Clefable
Clefable187 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.5%
Blaziken
Blaziken602 recorded pair observations · 0.40 pair observations per 100 analyzed battles
49.0%
Dragonite
Dragonite399 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.4%
Arcanine-Hisui
Arcanine-Hisui202 recorded pair observations · 0.14 pair observations per 100 analyzed battles
49.5%
Moltres
Moltres175 recorded pair observations · 0.12 pair observations per 100 analyzed battles
49.7%
Zarude
Zarude845 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.2%
Cinderace
Cinderace785 recorded pair observations · 0.53 pair observations per 100 analyzed battles
50.7%
Venusaur
Venusaur2890 recorded pair observations · 1.94 pair observations per 100 analyzed battles
51.1%

Higher Win-rate Opponent Teams

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

Rotom-Wash
Rotom-Wash201 recorded pair observations · 0.13 pair observations per 100 analyzed battles
61.7%
Venusaur
Venusaur178 recorded pair observations · 0.12 pair observations per 100 analyzed battles
59.5%
Maushold
Maushold168 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.7%
Blaziken
Blaziken248 recorded pair observations · 0.17 pair observations per 100 analyzed battles
56.0%
Serperior
Serperior227 recorded pair observations · 0.15 pair observations per 100 analyzed battles
56.0%
Hydrapple
Hydrapple199 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.8%
Clefable
Clefable442 recorded pair observations · 0.30 pair observations per 100 analyzed battles
55.7%
Iron Crown
Iron Crown317 recorded pair observations · 0.21 pair observations per 100 analyzed battles
55.5%
Gengar
Gengar154 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.2%
Lokix
Lokix296 recorded pair observations · 0.20 pair observations per 100 analyzed battles
54.7%

Lower Win-rate Opponent Teams

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

Araquanid
Araquanid181 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.2%
Iron Moth
Iron Moth620 recorded pair observations · 0.42 pair observations per 100 analyzed battles
42.4%
Excadrill
Excadrill223 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.5%
Tyranitar
Tyranitar298 recorded pair observations · 0.20 pair observations per 100 analyzed battles
44.0%
Raging Bolt
Raging Bolt1003 recorded pair observations · 0.67 pair observations per 100 analyzed battles
45.0%
Hoopa-Unbound
Hoopa-Unbound255 recorded pair observations · 0.17 pair observations per 100 analyzed battles
45.1%
Hatterene
Hatterene950 recorded pair observations · 0.64 pair observations per 100 analyzed battles
45.5%
Slowking-Galar
Slowking-Galar983 recorded pair observations · 0.66 pair observations per 100 analyzed battles
45.5%
Ursaluna
Ursaluna219 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.7%
Ogerpon
Ogerpon328 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.6%