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

Dragonite

Tier B

OU (Over Used)

14.49%Usage Rate
51.55%Win Rate
4.68%Lead Rate
1251Avg Rating

43258 recorded team appearances · 22301 wins · 20957 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Dragon Dance Recorded use in 14499 of 43261 distinct recorded team appearances (33.5%) 6593 winning team uses of 14499 recorded team uses
45.5%
Extreme Speed Recorded use in 12949 of 43261 distinct recorded team appearances (29.9%) 6499 winning team uses of 12949 recorded team uses
50.2%
Earthquake Recorded use in 10192 of 43261 distinct recorded team appearances (23.6%) 5175 winning team uses of 10192 recorded team uses
50.8%
Roost Recorded use in 3415 of 43261 distinct recorded team appearances (7.9%) 1668 winning team uses of 3415 recorded team uses
48.8%
Ice Spinner Recorded use in 3326 of 43261 distinct recorded team appearances (7.7%) 1729 winning team uses of 3326 recorded team uses
52.0%
Outrage Recorded use in 2352 of 43261 distinct recorded team appearances (5.4%) 1222 winning team uses of 2352 recorded team uses
52.0%
Fire Punch Recorded use in 2053 of 43261 distinct recorded team appearances (4.7%) 1080 winning team uses of 2053 recorded team uses
52.6%
Dragon Tail Recorded use in 1921 of 43261 distinct recorded team appearances (4.4%) 941 winning team uses of 1921 recorded team uses
49.0%
Dragon Claw Recorded use in 1371 of 43261 distinct recorded team appearances (3.2%) 648 winning team uses of 1371 recorded team uses
47.3%
Scale Shot Recorded use in 1282 of 43261 distinct recorded team appearances (3.0%) 667 winning team uses of 1282 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 14.16 51.63 74640 10568 Observed
Period 2: 2026/09/30 15:45–2026/10/03 23:48 JST 14.34 52.48 74640 10705 Observed
Period 3: 2026/10/03 23:48–2026/10/07 09:55 JST 14.55 50.46 74640 10863 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST 14.90 51.66 74640 11122 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 13.60 54.29 60196 8189 Observed
~R1156 14.54 51.82 59416 8641 Observed
~R1268 14.95 51.00 59484 8894 Observed
~R1398 14.29 50.76 59960 8571 Observed
R1398~ 15.06 50.09 59504 8963 Observed

Dragonite Observed Statistics

Performance Metrics

Dragonite has a reported usage rate of 14.49% and win rate of 51.55% in OU (Over Used) (displayed tier: B). The report covers 09/26/2026 to 10/10/2026, with 149,280 recorded battles. 22,301 wins and 20,957 losses (43,258 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 14.16% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,640 team slots) and 14.90% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=74,640 team slots), a change of +0.74 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 51.63% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=10,568 recorded appearances) and 51.66% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=11,122 recorded appearances), a change of +0.03 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 13.60% (~R1084; n=60,196 team slots) to 15.06% (R1398~; n=59,504 team slots), a spread of 1.46 percentage points. Overall usage was 14.49%. 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, Dragon Dance has the largest recorded team-use count (14,499; 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: Gholdengo: 52.9% wins in 17,649 recorded pair observations; Great Tusk: 53.2% wins in 13,293 recorded pair observations; Zamazenta-*: 53.2% wins in 11,074 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: Incineroar: 64.3% wins in 454 recorded pair observations; Zoroark-Hisui: 61.6% wins in 609 recorded pair observations; Mimikyu: 59.7% wins in 635 recorded pair observations. Returned lower-win-rate opponent group: Hydrapple: 45.4% wins in 958 recorded pair observations; Zamazenta-*: 45.5% wins in 5,833 recorded pair observations; Cresselia: 45.7% wins in 1,171 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%

Gholdengo
Gholdengo17649 recorded pair observations · 11.82 pair observations per 100 analyzed battles
52.9%
Great Tusk
Great Tusk13293 recorded pair observations · 8.90 pair observations per 100 analyzed battles
53.2%
Zamazenta-*
Zamazenta-*11074 recorded pair observations · 7.42 pair observations per 100 analyzed battles
53.2%
Iron Valiant
Iron Valiant9060 recorded pair observations · 6.07 pair observations per 100 analyzed battles
53.6%
Kingambit
Kingambit7645 recorded pair observations · 5.12 pair observations per 100 analyzed battles
52.9%
Gliscor
Gliscor7059 recorded pair observations · 4.73 pair observations per 100 analyzed battles
50.7%
Ting-Lu
Ting-Lu6613 recorded pair observations · 4.43 pair observations per 100 analyzed battles
52.4%
Darkrai
Darkrai6512 recorded pair observations · 4.36 pair observations per 100 analyzed battles
52.4%
Samurott-Hisui
Samurott-Hisui6341 recorded pair observations · 4.25 pair observations per 100 analyzed battles
53.6%
Ogerpon-Wellspring
Ogerpon-Wellspring5934 recorded pair observations · 3.98 pair observations per 100 analyzed battles
53.1%
Glimmora
Glimmora4788 recorded pair observations · 3.21 pair observations per 100 analyzed battles
52.2%
Deoxys-Speed
Deoxys-Speed4473 recorded pair observations · 3.00 pair observations per 100 analyzed battles
52.0%
Iron Treads
Iron Treads4296 recorded pair observations · 2.88 pair observations per 100 analyzed battles
52.5%
Pecharunt
Pecharunt3871 recorded pair observations · 2.59 pair observations per 100 analyzed battles
52.4%
Iron Moth
Iron Moth3833 recorded pair observations · 2.57 pair observations per 100 analyzed battles
54.9%
Hatterene
Hatterene3788 recorded pair observations · 2.54 pair observations per 100 analyzed battles
52.5%
Clefable
Clefable3658 recorded pair observations · 2.45 pair observations per 100 analyzed battles
49.1%
Cinderace
Cinderace3153 recorded pair observations · 2.11 pair observations per 100 analyzed battles
51.0%
Corviknight
Corviknight3100 recorded pair observations · 2.08 pair observations per 100 analyzed battles
49.5%
Dragapult
Dragapult2989 recorded pair observations · 2.00 pair observations per 100 analyzed battles
50.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk11644 recorded pair observations · 7.80 pair observations per 100 analyzed battles
48.4%
Gholdengo
Gholdengo8985 recorded pair observations · 6.02 pair observations per 100 analyzed battles
50.0%
Kingambit
Kingambit8553 recorded pair observations · 5.73 pair observations per 100 analyzed battles
49.2%
Dragonite
Dragonite6360 recorded pair observations · 4.26 pair observations per 100 analyzed battles
50.0%
Ogerpon-Wellspring
Ogerpon-Wellspring5962 recorded pair observations · 3.99 pair observations per 100 analyzed battles
50.2%
Dragapult
Dragapult5921 recorded pair observations · 3.97 pair observations per 100 analyzed battles
51.9%
Gliscor
Gliscor5846 recorded pair observations · 3.92 pair observations per 100 analyzed battles
52.3%
Zamazenta-*
Zamazenta-*5833 recorded pair observations · 3.91 pair observations per 100 analyzed battles
45.5%
Iron Valiant
Iron Valiant5807 recorded pair observations · 3.89 pair observations per 100 analyzed battles
48.6%
Corviknight
Corviknight5431 recorded pair observations · 3.64 pair observations per 100 analyzed battles
49.4%
Raging Bolt
Raging Bolt4949 recorded pair observations · 3.32 pair observations per 100 analyzed battles
47.6%
Hatterene
Hatterene4794 recorded pair observations · 3.21 pair observations per 100 analyzed battles
49.5%
Slowking-Galar
Slowking-Galar4705 recorded pair observations · 3.15 pair observations per 100 analyzed battles
49.2%
Cinderace
Cinderace4572 recorded pair observations · 3.06 pair observations per 100 analyzed battles
51.1%
Alomomola
Alomomola4271 recorded pair observations · 2.86 pair observations per 100 analyzed battles
50.1%
Samurott-Hisui
Samurott-Hisui4191 recorded pair observations · 2.81 pair observations per 100 analyzed battles
48.7%
Landorus-Therian
Landorus-Therian4185 recorded pair observations · 2.80 pair observations per 100 analyzed battles
49.3%
Iron Treads
Iron Treads4030 recorded pair observations · 2.70 pair observations per 100 analyzed battles
46.6%
Kyurem
Kyurem3954 recorded pair observations · 2.65 pair observations per 100 analyzed battles
48.1%
Glimmora
Glimmora3889 recorded pair observations · 2.61 pair observations per 100 analyzed battles
52.7%

Higher Win-rate Partners

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

Ogerpon-Cornerstone
Ogerpon-Cornerstone661 recorded pair observations · 0.44 pair observations per 100 analyzed battles
58.4%
Ogerpon
Ogerpon946 recorded pair observations · 0.63 pair observations per 100 analyzed battles
57.7%
Araquanid
Araquanid797 recorded pair observations · 0.53 pair observations per 100 analyzed battles
56.7%
Cresselia
Cresselia515 recorded pair observations · 0.34 pair observations per 100 analyzed battles
55.9%
Iron Crown
Iron Crown850 recorded pair observations · 0.57 pair observations per 100 analyzed battles
55.2%
Iron Moth
Iron Moth3833 recorded pair observations · 2.57 pair observations per 100 analyzed battles
54.9%
Landorus-Therian
Landorus-Therian2362 recorded pair observations · 1.58 pair observations per 100 analyzed battles
54.8%
Hoopa-Unbound
Hoopa-Unbound868 recorded pair observations · 0.58 pair observations per 100 analyzed battles
54.6%
Ursaluna
Ursaluna474 recorded pair observations · 0.32 pair observations per 100 analyzed battles
54.4%
Raging Bolt
Raging Bolt2100 recorded pair observations · 1.41 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%

Blissey
Blissey465 recorded pair observations · 0.31 pair observations per 100 analyzed battles
44.1%
Blastoise
Blastoise533 recorded pair observations · 0.36 pair observations per 100 analyzed battles
45.8%
Greninja-*
Greninja-*902 recorded pair observations · 0.60 pair observations per 100 analyzed battles
46.0%
Gyarados
Gyarados538 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.3%
Jirachi
Jirachi493 recorded pair observations · 0.33 pair observations per 100 analyzed battles
46.6%
Rotom-Wash
Rotom-Wash716 recorded pair observations · 0.48 pair observations per 100 analyzed battles
47.1%
Metagross
Metagross535 recorded pair observations · 0.36 pair observations per 100 analyzed battles
47.3%
Quaquaval
Quaquaval756 recorded pair observations · 0.51 pair observations per 100 analyzed battles
47.5%
Gengar
Gengar1602 recorded pair observations · 1.07 pair observations per 100 analyzed battles
47.6%
Cloyster
Cloyster617 recorded pair observations · 0.41 pair observations per 100 analyzed battles
48.0%

Higher Win-rate Opponent Teams

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

Incineroar
Incineroar454 recorded pair observations · 0.30 pair observations per 100 analyzed battles
64.3%
Zoroark-Hisui
Zoroark-Hisui609 recorded pair observations · 0.41 pair observations per 100 analyzed battles
61.6%
Mimikyu
Mimikyu635 recorded pair observations · 0.43 pair observations per 100 analyzed battles
59.7%
Metagross
Metagross581 recorded pair observations · 0.39 pair observations per 100 analyzed battles
59.5%
Serperior
Serperior1060 recorded pair observations · 0.71 pair observations per 100 analyzed battles
59.3%
Gengar
Gengar839 recorded pair observations · 0.56 pair observations per 100 analyzed battles
58.3%
Espeon
Espeon526 recorded pair observations · 0.35 pair observations per 100 analyzed battles
58.2%
Gyarados
Gyarados504 recorded pair observations · 0.34 pair observations per 100 analyzed battles
58.1%
Azumarill
Azumarill514 recorded pair observations · 0.34 pair observations per 100 analyzed battles
58.0%
Arcanine-Hisui
Arcanine-Hisui589 recorded pair observations · 0.39 pair observations per 100 analyzed battles
57.6%

Lower Win-rate Opponent Teams

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

Hydrapple
Hydrapple958 recorded pair observations · 0.64 pair observations per 100 analyzed battles
45.4%
Zamazenta-*
Zamazenta-*5833 recorded pair observations · 3.91 pair observations per 100 analyzed battles
45.5%
Cresselia
Cresselia1171 recorded pair observations · 0.78 pair observations per 100 analyzed battles
45.7%
Pecharunt
Pecharunt3048 recorded pair observations · 2.04 pair observations per 100 analyzed battles
45.9%
Moltres
Moltres1938 recorded pair observations · 1.30 pair observations per 100 analyzed battles
46.0%
Iron Treads
Iron Treads4030 recorded pair observations · 2.70 pair observations per 100 analyzed battles
46.6%
Moltres-Galar
Moltres-Galar472 recorded pair observations · 0.32 pair observations per 100 analyzed battles
46.8%
Enamorus
Enamorus1397 recorded pair observations · 0.94 pair observations per 100 analyzed battles
47.0%
Keldeo-Resolute
Keldeo-Resolute460 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.4%
Raging Bolt
Raging Bolt4949 recorded pair observations · 3.32 pair observations per 100 analyzed battles
47.6%