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

Torkoal

Tier D

OU (Over Used)

3.28%Usage Rate
50.51%Win Rate
46.65%Lead Rate
1244Avg Rating

9798 recorded team appearances · 4949 wins · 4849 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Stealth Rock Recorded use in 3043 of 9798 distinct recorded team appearances (31.1%) 1572 winning team uses of 3043 recorded team uses
51.7%
Rapid Spin Recorded use in 1256 of 9798 distinct recorded team appearances (12.8%) 608 winning team uses of 1256 recorded team uses
48.4%
Lava Plume Recorded use in 1249 of 9798 distinct recorded team appearances (12.7%) 649 winning team uses of 1249 recorded team uses
52.0%
Will-O-Wisp Recorded use in 1156 of 9798 distinct recorded team appearances (11.8%) 621 winning team uses of 1156 recorded team uses
53.7%
Overheat Recorded use in 643 of 9798 distinct recorded team appearances (6.6%) 357 winning team uses of 643 recorded team uses
55.5%
Eruption Recorded use in 574 of 9798 distinct recorded team appearances (5.9%) 296 winning team uses of 574 recorded team uses
51.6%
Weather Ball Recorded use in 417 of 9798 distinct recorded team appearances (4.3%) 207 winning team uses of 417 recorded team uses
49.6%
Flamethrower Recorded use in 382 of 9798 distinct recorded team appearances (3.9%) 207 winning team uses of 382 recorded team uses
54.2%
Solar Beam Recorded use in 355 of 9798 distinct recorded team appearances (3.6%) 158 winning team uses of 355 recorded team uses
44.5%
Earth Power Recorded use in 320 of 9798 distinct recorded team appearances (3.3%) 139 winning team uses of 320 recorded team uses
43.4%

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 3.14 51.37 74642 2344 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 3.18 50.95 74642 2371 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 3.21 49.25 74640 2396 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 3.60 50.50 74640 2687 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.98 49.39 60200 1796 Observed
~R1156 3.49 52.41 59416 2072 Observed
~R1268 3.54 49.33 59484 2104 Observed
~R1398 3.15 50.08 59960 1889 Observed
R1398~ 3.26 51.21 59504 1937 Observed

Torkoal Observed Statistics

Performance Metrics

Torkoal has a reported usage rate of 3.28% and win rate of 50.51% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 4,949 wins and 4,849 losses (9,798 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 3.14% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 3.60% 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 +0.46 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 51.37% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=2,344 recorded appearances) and 50.50% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=2,687 recorded appearances), a change of -0.87 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 2.98% (~R1084; n=60,200 team slots) to 3.54% (~R1268; n=59,484 team slots), a spread of 0.56 percentage points. Overall usage was 3.28%. 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, Stealth Rock has the largest recorded team-use count (3,043; 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: 53.0% wins in 6,299 recorded pair observations; Great Tusk: 53.0% wins in 4,778 recorded pair observations; Hatterene: 52.6% wins in 3,172 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: Venusaur: 58.7% wins in 196 recorded pair observations; Ursaluna: 57.5% wins in 233 recorded pair observations; Iron Hands: 56.2% wins in 185 recorded pair observations. Returned lower-win-rate opponent group: Heatran: 39.4% wins in 383 recorded pair observations; Iron Moth: 43.3% wins in 713 recorded pair observations; Latios: 44.1% wins in 161 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 Wake6299 recorded pair observations · 4.22 pair observations per 100 analyzed battles
53.0%
Great Tusk
Great Tusk4778 recorded pair observations · 3.20 pair observations per 100 analyzed battles
53.0%
Hatterene
Hatterene3172 recorded pair observations · 2.12 pair observations per 100 analyzed battles
52.6%
Raging Bolt
Raging Bolt3017 recorded pair observations · 2.02 pair observations per 100 analyzed battles
54.1%
Venusaur
Venusaur2388 recorded pair observations · 1.60 pair observations per 100 analyzed battles
51.6%
Ceruledge
Ceruledge1944 recorded pair observations · 1.30 pair observations per 100 analyzed battles
51.0%
Lilligant-Hisui
Lilligant-Hisui1235 recorded pair observations · 0.83 pair observations per 100 analyzed battles
52.0%
Slither Wing
Slither Wing1148 recorded pair observations · 0.77 pair observations per 100 analyzed battles
55.8%
Kingambit
Kingambit1072 recorded pair observations · 0.72 pair observations per 100 analyzed battles
50.9%
Corviknight
Corviknight960 recorded pair observations · 0.64 pair observations per 100 analyzed battles
52.7%
Ursaluna
Ursaluna726 recorded pair observations · 0.49 pair observations per 100 analyzed battles
52.1%
Iron Moth
Iron Moth676 recorded pair observations · 0.45 pair observations per 100 analyzed battles
52.8%
Gholdengo
Gholdengo616 recorded pair observations · 0.41 pair observations per 100 analyzed battles
50.5%
Charizard
Charizard591 recorded pair observations · 0.40 pair observations per 100 analyzed battles
45.7%
Cinderace
Cinderace575 recorded pair observations · 0.39 pair observations per 100 analyzed battles
53.6%
Cresselia
Cresselia523 recorded pair observations · 0.35 pair observations per 100 analyzed battles
53.4%
Alomomola
Alomomola491 recorded pair observations · 0.33 pair observations per 100 analyzed battles
52.1%
Rillaboom
Rillaboom456 recorded pair observations · 0.31 pair observations per 100 analyzed battles
52.0%
Landorus-Therian
Landorus-Therian444 recorded pair observations · 0.30 pair observations per 100 analyzed battles
53.4%
Gliscor
Gliscor438 recorded pair observations · 0.29 pair observations per 100 analyzed battles
46.1%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk2667 recorded pair observations · 1.79 pair observations per 100 analyzed battles
48.0%
Gholdengo
Gholdengo2084 recorded pair observations · 1.40 pair observations per 100 analyzed battles
50.1%
Kingambit
Kingambit1977 recorded pair observations · 1.32 pair observations per 100 analyzed battles
49.0%
Dragonite
Dragonite1443 recorded pair observations · 0.97 pair observations per 100 analyzed battles
47.4%
Gliscor
Gliscor1422 recorded pair observations · 0.95 pair observations per 100 analyzed battles
52.7%
Iron Valiant
Iron Valiant1395 recorded pair observations · 0.93 pair observations per 100 analyzed battles
48.0%
Zamazenta-*
Zamazenta-*1365 recorded pair observations · 0.91 pair observations per 100 analyzed battles
46.4%
Dragapult
Dragapult1360 recorded pair observations · 0.91 pair observations per 100 analyzed battles
48.5%
Ogerpon-Wellspring
Ogerpon-Wellspring1344 recorded pair observations · 0.90 pair observations per 100 analyzed battles
48.2%
Corviknight
Corviknight1258 recorded pair observations · 0.84 pair observations per 100 analyzed battles
51.4%
Raging Bolt
Raging Bolt1094 recorded pair observations · 0.73 pair observations per 100 analyzed battles
44.4%
Hatterene
Hatterene1072 recorded pair observations · 0.72 pair observations per 100 analyzed battles
47.2%
Slowking-Galar
Slowking-Galar1024 recorded pair observations · 0.69 pair observations per 100 analyzed battles
48.4%
Cinderace
Cinderace974 recorded pair observations · 0.65 pair observations per 100 analyzed battles
49.3%
Landorus-Therian
Landorus-Therian974 recorded pair observations · 0.65 pair observations per 100 analyzed battles
46.4%
Alomomola
Alomomola956 recorded pair observations · 0.64 pair observations per 100 analyzed battles
50.5%
Samurott-Hisui
Samurott-Hisui942 recorded pair observations · 0.63 pair observations per 100 analyzed battles
46.2%
Kyurem
Kyurem917 recorded pair observations · 0.61 pair observations per 100 analyzed battles
45.8%
Iron Treads
Iron Treads894 recorded pair observations · 0.60 pair observations per 100 analyzed battles
47.6%
Glimmora
Glimmora884 recorded pair observations · 0.59 pair observations per 100 analyzed battles
46.4%

Higher Win-rate Partners

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

Hoopa-Unbound
Hoopa-Unbound144 recorded pair observations · 0.10 pair observations per 100 analyzed battles
59.0%
Slither Wing
Slither Wing1148 recorded pair observations · 0.77 pair observations per 100 analyzed battles
55.8%
Exeggutor-Alola
Exeggutor-Alola203 recorded pair observations · 0.14 pair observations per 100 analyzed battles
55.2%
Iron Valiant
Iron Valiant319 recorded pair observations · 0.21 pair observations per 100 analyzed battles
54.2%
Ninetales
Ninetales386 recorded pair observations · 0.26 pair observations per 100 analyzed battles
54.1%
Raging Bolt
Raging Bolt3017 recorded pair observations · 2.02 pair observations per 100 analyzed battles
54.1%
Garchomp
Garchomp266 recorded pair observations · 0.18 pair observations per 100 analyzed battles
53.8%
Cinderace
Cinderace575 recorded pair observations · 0.39 pair observations per 100 analyzed battles
53.6%
Pecharunt
Pecharunt166 recorded pair observations · 0.11 pair observations per 100 analyzed battles
53.6%
Cresselia
Cresselia523 recorded pair observations · 0.35 pair observations per 100 analyzed battles
53.4%

Lower Win-rate Partners

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

Espeon
Espeon149 recorded pair observations · 0.10 pair observations per 100 analyzed battles
34.9%
Metagross
Metagross173 recorded pair observations · 0.12 pair observations per 100 analyzed battles
38.1%
Moltres
Moltres204 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.2%
Volcanion
Volcanion173 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.2%
Lilligant
Lilligant268 recorded pair observations · 0.18 pair observations per 100 analyzed battles
43.3%
Glimmora
Glimmora251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
43.4%
Leafeon
Leafeon174 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.7%
Salazzle
Salazzle161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.1%
Clefable
Clefable171 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.4%
Blastoise
Blastoise214 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.9%

Higher Win-rate Opponent Teams

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

Venusaur
Venusaur196 recorded pair observations · 0.13 pair observations per 100 analyzed battles
58.7%
Ursaluna
Ursaluna233 recorded pair observations · 0.16 pair observations per 100 analyzed battles
57.5%
Iron Hands
Iron Hands185 recorded pair observations · 0.12 pair observations per 100 analyzed battles
56.2%
Greninja-*
Greninja-*266 recorded pair observations · 0.18 pair observations per 100 analyzed battles
56.0%
Espeon
Espeon149 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.7%
Rotom-Wash
Rotom-Wash258 recorded pair observations · 0.17 pair observations per 100 analyzed battles
55.4%
Scizor
Scizor457 recorded pair observations · 0.31 pair observations per 100 analyzed battles
54.9%
Pelipper
Pelipper407 recorded pair observations · 0.27 pair observations per 100 analyzed battles
54.8%
Excadrill
Excadrill284 recorded pair observations · 0.19 pair observations per 100 analyzed battles
54.6%
Grimmsnarl
Grimmsnarl164 recorded pair observations · 0.11 pair observations per 100 analyzed battles
54.3%

Lower Win-rate Opponent Teams

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

Heatran
Heatran383 recorded pair observations · 0.26 pair observations per 100 analyzed battles
39.4%
Iron Moth
Iron Moth713 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.3%
Latios
Latios161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.1%
Sinistcha
Sinistcha186 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.1%
Skeledirge
Skeledirge222 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.1%
Cresselia
Cresselia228 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.3%
Raging Bolt
Raging Bolt1094 recorded pair observations · 0.73 pair observations per 100 analyzed battles
44.4%
Blissey
Blissey308 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.1%
Skarmory
Skarmory183 recorded pair observations · 0.12 pair observations per 100 analyzed battles
45.4%
Walking Wake
Walking Wake639 recorded pair observations · 0.43 pair observations per 100 analyzed battles
45.4%