Last Updated: 10/10/2026 14:11 [UTC]

Moltres

Tier C

OU (Over Used)

4.48%Usage Rate
52.06%Win Rate
9.23%Lead Rate
1297Avg Rating

13372 recorded team appearances · 6962 wins · 6410 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Flamethrower Recorded use in 4865 of 13372 distinct recorded team appearances (36.4%) 2636 winning team uses of 4865 recorded team uses
54.2%
U-turn Recorded use in 4310 of 13372 distinct recorded team appearances (32.2%) 2356 winning team uses of 4310 recorded team uses
54.7%
Roost Recorded use in 3109 of 13372 distinct recorded team appearances (23.3%) 1766 winning team uses of 3109 recorded team uses
56.8%
Will-O-Wisp Recorded use in 1875 of 13372 distinct recorded team appearances (14.0%) 1012 winning team uses of 1875 recorded team uses
54.0%
Roar Recorded use in 1638 of 13372 distinct recorded team appearances (12.2%) 924 winning team uses of 1638 recorded team uses
56.4%
Hurricane Recorded use in 803 of 13372 distinct recorded team appearances (6.0%) 396 winning team uses of 803 recorded team uses
49.3%
Scorching Sands Recorded use in 721 of 13372 distinct recorded team appearances (5.4%) 348 winning team uses of 721 recorded team uses
48.3%
Air Slash Recorded use in 379 of 13372 distinct recorded team appearances (2.8%) 188 winning team uses of 379 recorded team uses
49.6%
Brave Bird Recorded use in 221 of 13372 distinct recorded team appearances (1.7%) 115 winning team uses of 221 recorded team uses
52.0%
Fire Blast Recorded use in 202 of 13372 distinct recorded team appearances (1.5%) 105 winning team uses of 202 recorded team uses
52.0%

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 4.33 52.43 74642 3233 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 4.39 52.24 74642 3275 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 4.59 52.45 74640 3426 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 4.61 51.16 74640 3438 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.60 57.92 60200 1566 Observed
~R1156 3.53 55.08 59416 2097 Observed
~R1268 4.30 50.51 59484 2558 Observed
~R1398 5.75 51.79 59960 3445 Observed
R1398~ 6.23 49.22 59504 3706 Observed

Moltres Observed Statistics

Performance Metrics

Moltres has a reported usage rate of 4.48% and win rate of 52.06% in OU (Over Used) (displayed tier: C). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 6,962 wins and 6,410 losses (13,372 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 4.33% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 4.61% 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 +0.28 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 52.43% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=3,233 recorded appearances) and 51.16% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=3,438 recorded appearances), a change of -1.27 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 2.60% (~R1084; n=60,200 team slots) to 6.23% (R1398~; n=59,504 team slots), a spread of 3.63 percentage points. Overall usage was 4.48%. 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, Flamethrower has the largest recorded team-use count (4,865; 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: 52.7% wins in 4,803 recorded pair observations; Gholdengo: 51.4% wins in 3,375 recorded pair observations; Iron Treads: 54.0% wins in 2,658 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: Metagross: 61.1% wins in 149 recorded pair observations; Cloyster: 60.7% wins in 145 recorded pair observations; Gengar: 60.2% wins in 246 recorded pair observations. Returned lower-win-rate opponent group: Cresselia: 40.1% wins in 396 recorded pair observations; Manaphy: 44.4% wins in 144 recorded pair observations; Volcanion: 45.1% wins in 257 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 Tusk4803 recorded pair observations · 3.22 pair observations per 100 analyzed battles
52.7%
Gholdengo
Gholdengo3375 recorded pair observations · 2.26 pair observations per 100 analyzed battles
51.4%
Iron Treads
Iron Treads2658 recorded pair observations · 1.78 pair observations per 100 analyzed battles
54.0%
Ogerpon-Wellspring
Ogerpon-Wellspring2526 recorded pair observations · 1.69 pair observations per 100 analyzed battles
55.6%
Samurott-Hisui
Samurott-Hisui2466 recorded pair observations · 1.65 pair observations per 100 analyzed battles
51.4%
Kingambit
Kingambit2273 recorded pair observations · 1.52 pair observations per 100 analyzed battles
54.6%
Slowking-Galar
Slowking-Galar2239 recorded pair observations · 1.50 pair observations per 100 analyzed battles
52.9%
Zamazenta-*
Zamazenta-*2182 recorded pair observations · 1.46 pair observations per 100 analyzed battles
54.6%
Dragapult
Dragapult1958 recorded pair observations · 1.31 pair observations per 100 analyzed battles
51.9%
Garganacl
Garganacl1606 recorded pair observations · 1.08 pair observations per 100 analyzed battles
54.4%
Kyurem
Kyurem1517 recorded pair observations · 1.02 pair observations per 100 analyzed battles
52.9%
Raging Bolt
Raging Bolt1396 recorded pair observations · 0.94 pair observations per 100 analyzed battles
54.5%
Darkrai
Darkrai1337 recorded pair observations · 0.90 pair observations per 100 analyzed battles
53.6%
Dragonite
Dragonite1317 recorded pair observations · 0.88 pair observations per 100 analyzed battles
53.7%
Hydrapple
Hydrapple1296 recorded pair observations · 0.87 pair observations per 100 analyzed battles
53.5%
Iron Valiant
Iron Valiant1244 recorded pair observations · 0.83 pair observations per 100 analyzed battles
51.0%
Ting-Lu
Ting-Lu1118 recorded pair observations · 0.75 pair observations per 100 analyzed battles
58.0%
Alomomola
Alomomola1106 recorded pair observations · 0.74 pair observations per 100 analyzed battles
50.9%
Rillaboom
Rillaboom989 recorded pair observations · 0.66 pair observations per 100 analyzed battles
52.5%
Gliscor
Gliscor952 recorded pair observations · 0.64 pair observations per 100 analyzed battles
47.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk3832 recorded pair observations · 2.57 pair observations per 100 analyzed battles
49.8%
Gholdengo
Gholdengo2785 recorded pair observations · 1.87 pair observations per 100 analyzed battles
51.1%
Kingambit
Kingambit2624 recorded pair observations · 1.76 pair observations per 100 analyzed battles
49.4%
Ogerpon-Wellspring
Ogerpon-Wellspring1982 recorded pair observations · 1.33 pair observations per 100 analyzed battles
46.6%
Dragonite
Dragonite1938 recorded pair observations · 1.30 pair observations per 100 analyzed battles
54.0%
Zamazenta-*
Zamazenta-*1912 recorded pair observations · 1.28 pair observations per 100 analyzed battles
50.3%
Iron Valiant
Iron Valiant1808 recorded pair observations · 1.21 pair observations per 100 analyzed battles
51.2%
Dragapult
Dragapult1749 recorded pair observations · 1.17 pair observations per 100 analyzed battles
52.5%
Corviknight
Corviknight1728 recorded pair observations · 1.16 pair observations per 100 analyzed battles
50.8%
Raging Bolt
Raging Bolt1698 recorded pair observations · 1.14 pair observations per 100 analyzed battles
45.9%
Gliscor
Gliscor1683 recorded pair observations · 1.13 pair observations per 100 analyzed battles
51.5%
Slowking-Galar
Slowking-Galar1601 recorded pair observations · 1.07 pair observations per 100 analyzed battles
50.3%
Hatterene
Hatterene1578 recorded pair observations · 1.06 pair observations per 100 analyzed battles
47.8%
Cinderace
Cinderace1547 recorded pair observations · 1.04 pair observations per 100 analyzed battles
51.4%
Alomomola
Alomomola1374 recorded pair observations · 0.92 pair observations per 100 analyzed battles
50.8%
Landorus-Therian
Landorus-Therian1374 recorded pair observations · 0.92 pair observations per 100 analyzed battles
48.7%
Samurott-Hisui
Samurott-Hisui1325 recorded pair observations · 0.89 pair observations per 100 analyzed battles
50.3%
Kyurem
Kyurem1310 recorded pair observations · 0.88 pair observations per 100 analyzed battles
48.9%
Iron Treads
Iron Treads1268 recorded pair observations · 0.85 pair observations per 100 analyzed battles
48.1%
Darkrai
Darkrai1230 recorded pair observations · 0.82 pair observations per 100 analyzed battles
52.0%

Higher Win-rate Partners

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

Ursaluna
Ursaluna354 recorded pair observations · 0.24 pair observations per 100 analyzed battles
60.7%
Toxapex
Toxapex419 recorded pair observations · 0.28 pair observations per 100 analyzed battles
59.4%
Ting-Lu
Ting-Lu1118 recorded pair observations · 0.75 pair observations per 100 analyzed battles
58.0%
Iron Hands
Iron Hands172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.6%
Excadrill
Excadrill723 recorded pair observations · 0.48 pair observations per 100 analyzed battles
57.0%
Ogerpon-Wellspring
Ogerpon-Wellspring2526 recorded pair observations · 1.69 pair observations per 100 analyzed battles
55.6%
Pelipper
Pelipper142 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.6%
Sinistcha
Sinistcha554 recorded pair observations · 0.37 pair observations per 100 analyzed battles
55.6%
Latios
Latios192 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.2%
Pecharunt
Pecharunt865 recorded pair observations · 0.58 pair observations per 100 analyzed battles
55.0%

Lower Win-rate Partners

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

Torkoal
Torkoal204 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.2%
Lapras
Lapras158 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.7%
Deoxys-Speed
Deoxys-Speed212 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.3%
Mew
Mew150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.3%
Fezandipiti
Fezandipiti165 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.5%
Rotom-Wash
Rotom-Wash277 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.9%
Quaquaval
Quaquaval185 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.0%
Clefable
Clefable681 recorded pair observations · 0.46 pair observations per 100 analyzed battles
47.3%
Metagross
Metagross188 recorded pair observations · 0.13 pair observations per 100 analyzed battles
47.3%
Gliscor
Gliscor952 recorded pair observations · 0.64 pair observations per 100 analyzed battles
47.5%

Higher Win-rate Opponent Teams

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

Metagross
Metagross149 recorded pair observations · 0.10 pair observations per 100 analyzed battles
61.1%
Cloyster
Cloyster145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
60.7%
Gengar
Gengar246 recorded pair observations · 0.16 pair observations per 100 analyzed battles
60.2%
Zoroark-Hisui
Zoroark-Hisui154 recorded pair observations · 0.10 pair observations per 100 analyzed battles
59.7%
Tyranitar
Tyranitar494 recorded pair observations · 0.33 pair observations per 100 analyzed battles
59.1%
Greninja-*
Greninja-*333 recorded pair observations · 0.22 pair observations per 100 analyzed battles
58.6%
Weavile
Weavile394 recorded pair observations · 0.26 pair observations per 100 analyzed battles
57.6%
Blaziken
Blaziken363 recorded pair observations · 0.24 pair observations per 100 analyzed battles
57.3%
Latios
Latios236 recorded pair observations · 0.16 pair observations per 100 analyzed battles
57.2%
Regieleki
Regieleki159 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.2%

Lower Win-rate Opponent Teams

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

Cresselia
Cresselia396 recorded pair observations · 0.27 pair observations per 100 analyzed battles
40.1%
Manaphy
Manaphy144 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.4%
Volcanion
Volcanion257 recorded pair observations · 0.17 pair observations per 100 analyzed battles
45.1%
Indeedee
Indeedee221 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.2%
Raging Bolt
Raging Bolt1698 recorded pair observations · 1.14 pair observations per 100 analyzed battles
45.9%
Ogerpon-Wellspring
Ogerpon-Wellspring1982 recorded pair observations · 1.33 pair observations per 100 analyzed battles
46.6%
Polteageist
Polteageist143 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.9%
Barraskewda
Barraskewda308 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.1%
Moltres-Galar
Moltres-Galar155 recorded pair observations · 0.10 pair observations per 100 analyzed battles
47.1%
Walking Wake
Walking Wake976 recorded pair observations · 0.65 pair observations per 100 analyzed battles
47.1%