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

Iron Crown

Tier C

OU (Over Used)

3.71%Usage Rate
53.10%Win Rate
18.65%Lead Rate
1292Avg Rating

11078 recorded team appearances · 5882 wins · 5196 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Tachyon Cutter Recorded use in 4421 of 11078 distinct recorded team appearances (39.9%) 2465 winning team uses of 4421 recorded team uses
55.8%
Calm Mind Recorded use in 2442 of 11078 distinct recorded team appearances (22.0%) 1201 winning team uses of 2442 recorded team uses
49.2%
Focus Blast Recorded use in 1793 of 11078 distinct recorded team appearances (16.2%) 916 winning team uses of 1793 recorded team uses
51.1%
Volt Switch Recorded use in 1668 of 11078 distinct recorded team appearances (15.1%) 893 winning team uses of 1668 recorded team uses
53.5%
Psychic Noise Recorded use in 1020 of 11078 distinct recorded team appearances (9.2%) 510 winning team uses of 1020 recorded team uses
50.0%
Psychic Recorded use in 897 of 11078 distinct recorded team appearances (8.1%) 498 winning team uses of 897 recorded team uses
55.5%
Psyshock Recorded use in 751 of 11078 distinct recorded team appearances (6.8%) 386 winning team uses of 751 recorded team uses
51.4%
Expanding Force Recorded use in 378 of 11078 distinct recorded team appearances (3.4%) 200 winning team uses of 378 recorded team uses
52.9%
Future Sight Recorded use in 330 of 11078 distinct recorded team appearances (3.0%) 179 winning team uses of 330 recorded team uses
54.2%
Agility Recorded use in 297 of 11078 distinct recorded team appearances (2.7%) 149 winning team uses of 297 recorded team uses
50.2%

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 3.85 54.28 74642 2872 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 3.68 52.88 74642 2744 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 3.41 52.52 74640 2542 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 3.91 52.64 74640 2920 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.02 64.50 60200 1214 Observed
~R1156 2.91 54.83 59416 1729 Observed
~R1268 3.90 53.88 59484 2320 Observed
~R1398 4.90 49.90 59960 2940 Observed
R1398~ 4.83 49.88 59504 2875 Observed

Iron Crown Observed Statistics

Performance Metrics

Iron Crown has a reported usage rate of 3.71% and win rate of 53.10% in OU (Over Used) (displayed tier: C). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 5,882 wins and 5,196 losses (11,078 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 3.85% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 3.91% 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 54.28% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=2,872 recorded appearances) and 52.64% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=2,920 recorded appearances), a change of -1.64 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 2.02% (~R1084; n=60,200 team slots) to 4.90% (~R1398; n=59,960 team slots), a spread of 2.88 percentage points. Overall usage was 3.71%. 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, Tachyon Cutter has the largest recorded team-use count (4,421; 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: Kingambit: 51.3% wins in 3,374 recorded pair observations; Ogerpon-Wellspring: 52.8% wins in 2,950 recorded pair observations; Great Tusk: 53.6% wins in 2,946 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: Arcanine-Hisui: 64.0% wins in 150 recorded pair observations; Maushold: 62.9% wins in 245 recorded pair observations; Gengar: 62.8% wins in 188 recorded pair observations. Returned lower-win-rate opponent group: Cresselia: 44.5% wins in 348 recorded pair observations; Ninetales: 44.5% wins in 317 recorded pair observations; Barraskewda: 46.7% wins in 272 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%

Kingambit
Kingambit3374 recorded pair observations · 2.26 pair observations per 100 analyzed battles
51.3%
Ogerpon-Wellspring
Ogerpon-Wellspring2950 recorded pair observations · 1.98 pair observations per 100 analyzed battles
52.8%
Great Tusk
Great Tusk2946 recorded pair observations · 1.97 pair observations per 100 analyzed battles
53.6%
Dragapult
Dragapult2818 recorded pair observations · 1.89 pair observations per 100 analyzed battles
51.2%
Gliscor
Gliscor2544 recorded pair observations · 1.70 pair observations per 100 analyzed battles
50.5%
Ting-Lu
Ting-Lu2368 recorded pair observations · 1.59 pair observations per 100 analyzed battles
52.0%
Iron Valiant
Iron Valiant2179 recorded pair observations · 1.46 pair observations per 100 analyzed battles
53.1%
Iron Treads
Iron Treads1307 recorded pair observations · 0.88 pair observations per 100 analyzed battles
51.8%
Kyurem
Kyurem1237 recorded pair observations · 0.83 pair observations per 100 analyzed battles
52.8%
Zamazenta-*
Zamazenta-*1220 recorded pair observations · 0.82 pair observations per 100 analyzed battles
57.2%
Pecharunt
Pecharunt1188 recorded pair observations · 0.80 pair observations per 100 analyzed battles
54.0%
Alomomola
Alomomola1150 recorded pair observations · 0.77 pair observations per 100 analyzed battles
51.4%
Ceruledge
Ceruledge1137 recorded pair observations · 0.76 pair observations per 100 analyzed battles
54.9%
Samurott-Hisui
Samurott-Hisui1116 recorded pair observations · 0.75 pair observations per 100 analyzed battles
54.0%
Landorus-Therian
Landorus-Therian1098 recorded pair observations · 0.74 pair observations per 100 analyzed battles
55.7%
Glimmora
Glimmora1075 recorded pair observations · 0.72 pair observations per 100 analyzed battles
58.6%
Kommo-o
Kommo-o1053 recorded pair observations · 0.71 pair observations per 100 analyzed battles
52.3%
Darkrai
Darkrai1022 recorded pair observations · 0.68 pair observations per 100 analyzed battles
55.7%
Raging Bolt
Raging Bolt1013 recorded pair observations · 0.68 pair observations per 100 analyzed battles
53.1%
Hatterene
Hatterene980 recorded pair observations · 0.66 pair observations per 100 analyzed battles
58.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk3080 recorded pair observations · 2.06 pair observations per 100 analyzed battles
50.4%
Gholdengo
Gholdengo2383 recorded pair observations · 1.60 pair observations per 100 analyzed battles
51.0%
Kingambit
Kingambit2264 recorded pair observations · 1.52 pair observations per 100 analyzed battles
52.4%
Ogerpon-Wellspring
Ogerpon-Wellspring1681 recorded pair observations · 1.13 pair observations per 100 analyzed battles
49.6%
Zamazenta-*
Zamazenta-*1633 recorded pair observations · 1.09 pair observations per 100 analyzed battles
48.1%
Dragonite
Dragonite1554 recorded pair observations · 1.04 pair observations per 100 analyzed battles
49.2%
Iron Valiant
Iron Valiant1504 recorded pair observations · 1.01 pair observations per 100 analyzed battles
52.3%
Dragapult
Dragapult1499 recorded pair observations · 1.00 pair observations per 100 analyzed battles
54.4%
Gliscor
Gliscor1474 recorded pair observations · 0.99 pair observations per 100 analyzed battles
53.5%
Corviknight
Corviknight1435 recorded pair observations · 0.96 pair observations per 100 analyzed battles
54.0%
Raging Bolt
Raging Bolt1368 recorded pair observations · 0.92 pair observations per 100 analyzed battles
48.3%
Hatterene
Hatterene1328 recorded pair observations · 0.89 pair observations per 100 analyzed battles
52.0%
Slowking-Galar
Slowking-Galar1279 recorded pair observations · 0.86 pair observations per 100 analyzed battles
52.4%
Cinderace
Cinderace1234 recorded pair observations · 0.83 pair observations per 100 analyzed battles
48.5%
Alomomola
Alomomola1167 recorded pair observations · 0.78 pair observations per 100 analyzed battles
50.8%
Landorus-Therian
Landorus-Therian1166 recorded pair observations · 0.78 pair observations per 100 analyzed battles
52.6%
Kyurem
Kyurem1150 recorded pair observations · 0.77 pair observations per 100 analyzed battles
52.2%
Iron Treads
Iron Treads1124 recorded pair observations · 0.75 pair observations per 100 analyzed battles
47.4%
Samurott-Hisui
Samurott-Hisui1071 recorded pair observations · 0.72 pair observations per 100 analyzed battles
47.5%
Glimmora
Glimmora1022 recorded pair observations · 0.68 pair observations per 100 analyzed battles
55.1%

Higher Win-rate Partners

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

Araquanid
Araquanid239 recorded pair observations · 0.16 pair observations per 100 analyzed battles
61.9%
Iron Hands
Iron Hands332 recorded pair observations · 0.22 pair observations per 100 analyzed battles
59.6%
Deoxys-Speed
Deoxys-Speed370 recorded pair observations · 0.25 pair observations per 100 analyzed battles
58.9%
Hatterene
Hatterene980 recorded pair observations · 0.66 pair observations per 100 analyzed battles
58.9%
Glimmora
Glimmora1075 recorded pair observations · 0.72 pair observations per 100 analyzed battles
58.6%
Rillaboom
Rillaboom544 recorded pair observations · 0.36 pair observations per 100 analyzed battles
58.6%
Hydrapple
Hydrapple148 recorded pair observations · 0.10 pair observations per 100 analyzed battles
58.1%
Ogerpon
Ogerpon363 recorded pair observations · 0.24 pair observations per 100 analyzed battles
57.6%
Zamazenta-*
Zamazenta-*1220 recorded pair observations · 0.82 pair observations per 100 analyzed battles
57.2%
Hydreigon
Hydreigon161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.1%

Lower Win-rate Partners

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

Clefable
Clefable170 recorded pair observations · 0.11 pair observations per 100 analyzed battles
41.8%
Quaquaval
Quaquaval196 recorded pair observations · 0.13 pair observations per 100 analyzed battles
46.9%
Sinistcha
Sinistcha228 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.9%
Iron Boulder
Iron Boulder357 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.9%
Gholdengo
Gholdengo409 recorded pair observations · 0.27 pair observations per 100 analyzed battles
48.2%
Pelipper
Pelipper153 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.0%
Pincurchin
Pincurchin269 recorded pair observations · 0.18 pair observations per 100 analyzed battles
49.1%
Meowscarada
Meowscarada494 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.8%
Weezing-Galar
Weezing-Galar310 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.0%
Primarina
Primarina467 recorded pair observations · 0.31 pair observations per 100 analyzed battles
50.1%

Higher Win-rate Opponent Teams

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

Arcanine-Hisui
Arcanine-Hisui150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
64.0%
Maushold
Maushold245 recorded pair observations · 0.16 pair observations per 100 analyzed battles
62.9%
Gengar
Gengar188 recorded pair observations · 0.13 pair observations per 100 analyzed battles
62.8%
Rotom-Wash
Rotom-Wash240 recorded pair observations · 0.16 pair observations per 100 analyzed battles
60.8%
Kommo-o
Kommo-o191 recorded pair observations · 0.13 pair observations per 100 analyzed battles
60.7%
Mimikyu
Mimikyu142 recorded pair observations · 0.10 pair observations per 100 analyzed battles
59.9%
Serperior
Serperior286 recorded pair observations · 0.19 pair observations per 100 analyzed battles
59.8%
Greninja-*
Greninja-*248 recorded pair observations · 0.17 pair observations per 100 analyzed battles
59.3%
Ninetales-Alola
Ninetales-Alola268 recorded pair observations · 0.18 pair observations per 100 analyzed battles
58.6%
Garchomp
Garchomp581 recorded pair observations · 0.39 pair observations per 100 analyzed battles
58.5%

Lower Win-rate Opponent Teams

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

Cresselia
Cresselia348 recorded pair observations · 0.23 pair observations per 100 analyzed battles
44.5%
Ninetales
Ninetales317 recorded pair observations · 0.21 pair observations per 100 analyzed battles
44.5%
Barraskewda
Barraskewda272 recorded pair observations · 0.18 pair observations per 100 analyzed battles
46.7%
Hoopa-Unbound
Hoopa-Unbound364 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.2%
Iron Treads
Iron Treads1124 recorded pair observations · 0.75 pair observations per 100 analyzed battles
47.4%
Samurott-Hisui
Samurott-Hisui1071 recorded pair observations · 0.72 pair observations per 100 analyzed battles
47.5%
Walking Wake
Walking Wake716 recorded pair observations · 0.48 pair observations per 100 analyzed battles
47.6%
Hawlucha
Hawlucha308 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.7%
Ting-Lu
Ting-Lu918 recorded pair observations · 0.61 pair observations per 100 analyzed battles
48.0%
Iron Moth
Iron Moth856 recorded pair observations · 0.57 pair observations per 100 analyzed battles
48.1%