Last Updated: 10/25/2026 11:17 [UTC]

Dragonite

Tier D

VGC 2026 Regulation M-C (Pokemon Champions)

4.63%Usage Rate
50.28%Win Rate
31.51%Lead Rate
52.45%Selection Rate
1279Avg Rating

30136 recorded team appearances · 15153 wins · 14983 losses · 10/11/2026–10/25/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Dragon Pulse Recorded use in 6291 of 30139 distinct recorded team appearances (20.9%) 3451 winning team uses of 6291 recorded team uses
54.9%
Protect Recorded use in 4915 of 30139 distinct recorded team appearances (16.3%) 2326 winning team uses of 4915 recorded team uses
47.3%
Tailwind Recorded use in 4393 of 30139 distinct recorded team appearances (14.6%) 2284 winning team uses of 4393 recorded team uses
52.0%
Heat Wave Recorded use in 3993 of 30139 distinct recorded team appearances (13.2%) 2208 winning team uses of 3993 recorded team uses
55.3%
Hurricane Recorded use in 1738 of 30139 distinct recorded team appearances (5.8%) 907 winning team uses of 1738 recorded team uses
52.2%
Extreme Speed Recorded use in 1292 of 30139 distinct recorded team appearances (4.3%) 620 winning team uses of 1292 recorded team uses
48.0%
Dragon Claw Recorded use in 1053 of 30139 distinct recorded team appearances (3.5%) 480 winning team uses of 1053 recorded team uses
45.6%
Draco Meteor Recorded use in 836 of 30139 distinct recorded team appearances (2.8%) 443 winning team uses of 836 recorded team uses
53.0%
Dragon Dance Recorded use in 703 of 30139 distinct recorded team appearances (2.3%) 289 winning team uses of 703 recorded team uses
41.1%
Stomping Tantrum Recorded use in 575 of 30139 distinct recorded team appearances (1.9%) 258 winning team uses of 575 recorded team uses
44.9%

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: 2026/10/11 11:01–2026/10/14 22:03 UTC 4.30 50.28 162620 6987 Observed
Period 2: 2026/10/14 22:03–2026/10/18 07:58 UTC 4.62 50.64 162618 7521 Observed
Period 3: 2026/10/18 07:58–2026/10/21 17:31 UTC 4.79 50.45 162618 7796 Observed
Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC 4.82 49.77 162618 7832 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1132 4.85 50.11 129866 6298 Observed
~R1209 4.78 50.75 129712 6195 Observed
~R1304 4.68 49.08 129444 6061 Observed
~R1406 4.17 50.78 130156 5431 Observed
R1406~ 4.68 50.72 131296 6151 Observed

Dragonite Observed Statistics

Performance Metrics

Dragonite has a reported usage rate of 4.63% and win rate of 50.28% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/11/2026 to 10/25/2026 (UTC), with 325,237 recorded battles. 15,153 wins and 14,983 losses (30,136 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 4.30% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=162,620 team slots) and 4.82% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=162,618 team slots), a change of +0.52 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 50.28% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=6,987 recorded appearances) and 49.77% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=7,832 recorded appearances), a change of -0.51 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 4.17% (~R1406; n=130,156 team slots) to 4.85% (~R1132; n=129,866 team slots), a spread of 0.68 percentage points. Overall usage was 4.63%. 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 Pulse has the largest recorded team-use count (6,291; 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: Sneasler: 52.5% wins in 14,088 recorded pair observations; Rillaboom: 51.5% wins in 12,353 recorded pair observations; Incineroar: 51.1% wins in 8,613 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: Grapploct: 57.3% wins in 363 recorded pair observations; Sableye: 56.5% wins in 780 recorded pair observations; Clefable: 56.0% wins in 434 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 42.4% wins in 1,447 recorded pair observations; Sylveon: 46.3% wins in 2,596 recorded pair observations; Excadrill: 46.6% wins in 2,053 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%

Sneasler
Sneasler14088 recorded pair observations · 4.33 pair observations per 100 analyzed battles
52.5%
Rillaboom
Rillaboom12353 recorded pair observations · 3.80 pair observations per 100 analyzed battles
51.5%
Incineroar
Incineroar8613 recorded pair observations · 2.65 pair observations per 100 analyzed battles
51.1%
Kingambit
Kingambit8154 recorded pair observations · 2.51 pair observations per 100 analyzed battles
53.7%
Basculegion
Basculegion6838 recorded pair observations · 2.10 pair observations per 100 analyzed battles
54.7%
Gholdengo
Gholdengo6616 recorded pair observations · 2.03 pair observations per 100 analyzed battles
52.2%
Garchomp
Garchomp5155 recorded pair observations · 1.58 pair observations per 100 analyzed battles
54.2%
Archaludon
Archaludon4973 recorded pair observations · 1.53 pair observations per 100 analyzed battles
50.5%
Pelipper
Pelipper4522 recorded pair observations · 1.39 pair observations per 100 analyzed battles
50.6%
Raichu
Raichu4316 recorded pair observations · 1.33 pair observations per 100 analyzed battles
49.2%
Floette-Eternal
Floette-Eternal3818 recorded pair observations · 1.17 pair observations per 100 analyzed battles
54.6%
Indeedee-F
Indeedee-F2962 recorded pair observations · 0.91 pair observations per 100 analyzed battles
48.5%
Delphox
Delphox2773 recorded pair observations · 0.85 pair observations per 100 analyzed battles
56.1%
Sinistcha
Sinistcha2336 recorded pair observations · 0.72 pair observations per 100 analyzed battles
48.9%
Farigiraf
Farigiraf2219 recorded pair observations · 0.68 pair observations per 100 analyzed battles
50.5%
Milotic
Milotic2103 recorded pair observations · 0.65 pair observations per 100 analyzed battles
47.2%
Charizard
Charizard2063 recorded pair observations · 0.63 pair observations per 100 analyzed battles
47.0%
Primarina
Primarina1992 recorded pair observations · 0.61 pair observations per 100 analyzed battles
51.5%
Golisopod
Golisopod1850 recorded pair observations · 0.57 pair observations per 100 analyzed battles
52.9%
Froslass
Froslass1831 recorded pair observations · 0.56 pair observations per 100 analyzed battles
53.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom9350 recorded pair observations · 2.87 pair observations per 100 analyzed battles
49.9%
Sneasler
Sneasler9235 recorded pair observations · 2.84 pair observations per 100 analyzed battles
48.0%
Incineroar
Incineroar8162 recorded pair observations · 2.51 pair observations per 100 analyzed battles
50.5%
Garchomp
Garchomp7846 recorded pair observations · 2.41 pair observations per 100 analyzed battles
49.4%
Archaludon
Archaludon5933 recorded pair observations · 1.82 pair observations per 100 analyzed battles
47.2%
Indeedee-F
Indeedee-F5494 recorded pair observations · 1.69 pair observations per 100 analyzed battles
50.8%
Raichu
Raichu5493 recorded pair observations · 1.69 pair observations per 100 analyzed battles
48.1%
Pelipper
Pelipper5192 recorded pair observations · 1.60 pair observations per 100 analyzed battles
48.0%
Charizard
Charizard5179 recorded pair observations · 1.59 pair observations per 100 analyzed battles
48.8%
Kingambit
Kingambit5087 recorded pair observations · 1.56 pair observations per 100 analyzed battles
49.2%
Farigiraf
Farigiraf4970 recorded pair observations · 1.53 pair observations per 100 analyzed battles
49.2%
Golisopod
Golisopod4467 recorded pair observations · 1.37 pair observations per 100 analyzed battles
48.2%
Gholdengo
Gholdengo3821 recorded pair observations · 1.17 pair observations per 100 analyzed battles
50.6%
Whimsicott
Whimsicott3654 recorded pair observations · 1.12 pair observations per 100 analyzed battles
52.6%
Basculegion
Basculegion3505 recorded pair observations · 1.08 pair observations per 100 analyzed battles
48.8%
Salamence
Salamence3283 recorded pair observations · 1.01 pair observations per 100 analyzed battles
48.8%
Tyranitar
Tyranitar2877 recorded pair observations · 0.88 pair observations per 100 analyzed battles
48.3%
Sinistcha
Sinistcha2819 recorded pair observations · 0.87 pair observations per 100 analyzed battles
55.0%
Volcarona
Volcarona2629 recorded pair observations · 0.81 pair observations per 100 analyzed battles
51.1%
Milotic
Milotic2598 recorded pair observations · 0.80 pair observations per 100 analyzed battles
48.0%

Higher Win-rate Partners

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

Delphox
Delphox2773 recorded pair observations · 0.85 pair observations per 100 analyzed battles
56.1%
Basculegion
Basculegion6838 recorded pair observations · 2.10 pair observations per 100 analyzed battles
54.7%
Floette-Eternal
Floette-Eternal3818 recorded pair observations · 1.17 pair observations per 100 analyzed battles
54.6%
Garchomp
Garchomp5155 recorded pair observations · 1.58 pair observations per 100 analyzed battles
54.2%
Baxcalibur
Baxcalibur485 recorded pair observations · 0.15 pair observations per 100 analyzed battles
54.0%
Kingambit
Kingambit8154 recorded pair observations · 2.51 pair observations per 100 analyzed battles
53.7%
Froslass
Froslass1831 recorded pair observations · 0.56 pair observations per 100 analyzed battles
53.4%
Golisopod
Golisopod1850 recorded pair observations · 0.57 pair observations per 100 analyzed battles
52.9%
Sneasler
Sneasler14088 recorded pair observations · 4.33 pair observations per 100 analyzed battles
52.5%
Gholdengo
Gholdengo6616 recorded pair observations · 2.03 pair observations per 100 analyzed battles
52.2%

Lower Win-rate Partners

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

Zoroark-Hisui
Zoroark-Hisui344 recorded pair observations · 0.11 pair observations per 100 analyzed battles
36.3%
Greninja
Greninja317 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.0%
Rotom-Wash
Rotom-Wash465 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.4%
Absol
Absol361 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.5%
Armarouge
Armarouge467 recorded pair observations · 0.14 pair observations per 100 analyzed battles
43.5%
Scrafty
Scrafty316 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.7%
Lucario
Lucario1110 recorded pair observations · 0.34 pair observations per 100 analyzed battles
44.0%
Aerodactyl
Aerodactyl406 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.3%
Talonflame
Talonflame369 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.3%
Dragapult
Dragapult378 recorded pair observations · 0.12 pair observations per 100 analyzed battles
45.5%

Higher Win-rate Opponent Teams

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

Grapploct
Grapploct363 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.3%
Sableye
Sableye780 recorded pair observations · 0.24 pair observations per 100 analyzed battles
56.5%
Clefable
Clefable434 recorded pair observations · 0.13 pair observations per 100 analyzed battles
56.0%
Maushold
Maushold605 recorded pair observations · 0.19 pair observations per 100 analyzed battles
56.0%
Rotom-Wash
Rotom-Wash527 recorded pair observations · 0.16 pair observations per 100 analyzed battles
56.0%
Talonflame
Talonflame777 recorded pair observations · 0.24 pair observations per 100 analyzed battles
55.9%
Sinistcha
Sinistcha2819 recorded pair observations · 0.87 pair observations per 100 analyzed battles
55.0%
Alakazam
Alakazam442 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.8%
Gliscor
Gliscor335 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.6%
Greninja
Greninja319 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.5%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F1447 recorded pair observations · 0.44 pair observations per 100 analyzed battles
42.4%
Sylveon
Sylveon2596 recorded pair observations · 0.80 pair observations per 100 analyzed battles
46.3%
Excadrill
Excadrill2053 recorded pair observations · 0.63 pair observations per 100 analyzed battles
46.6%
Archaludon
Archaludon5933 recorded pair observations · 1.82 pair observations per 100 analyzed battles
47.2%
Floette-Eternal
Floette-Eternal2224 recorded pair observations · 0.68 pair observations per 100 analyzed battles
47.6%
Milotic
Milotic2598 recorded pair observations · 0.80 pair observations per 100 analyzed battles
48.0%
Pelipper
Pelipper5192 recorded pair observations · 1.60 pair observations per 100 analyzed battles
48.0%
Sneasler
Sneasler9235 recorded pair observations · 2.84 pair observations per 100 analyzed battles
48.0%
Raichu
Raichu5493 recorded pair observations · 1.69 pair observations per 100 analyzed battles
48.1%
Froslass
Froslass1445 recorded pair observations · 0.44 pair observations per 100 analyzed battles
48.2%