Last Updated: 10/26/2026 11:11 [UTC]

Dragapult

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

2.56%Usage Rate
47.34%Win Rate
39.05%Lead Rate
57.82%Selection Rate
1280Avg Rating

16491 recorded team appearances · 7807 wins · 8684 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Dragon Darts Recorded use in 2734 of 16491 distinct recorded team appearances (16.6%) 1369 winning team uses of 2734 recorded team uses
50.1%
Protect Recorded use in 1976 of 16491 distinct recorded team appearances (12.0%) 815 winning team uses of 1976 recorded team uses
41.2%
Shadow Ball Recorded use in 1798 of 16491 distinct recorded team appearances (10.9%) 874 winning team uses of 1798 recorded team uses
48.6%
Draco Meteor Recorded use in 1690 of 16491 distinct recorded team appearances (10.2%) 802 winning team uses of 1690 recorded team uses
47.5%
Will-O-Wisp Recorded use in 1620 of 16491 distinct recorded team appearances (9.8%) 759 winning team uses of 1620 recorded team uses
46.9%
Phantom Force Recorded use in 1281 of 16491 distinct recorded team appearances (7.8%) 626 winning team uses of 1281 recorded team uses
48.9%
Dragon Cheer Recorded use in 872 of 16491 distinct recorded team appearances (5.3%) 340 winning team uses of 872 recorded team uses
39.0%
U-turn Recorded use in 468 of 16491 distinct recorded team appearances (2.8%) 207 winning team uses of 468 recorded team uses
44.2%
Light Screen Recorded use in 436 of 16491 distinct recorded team appearances (2.6%) 205 winning team uses of 436 recorded team uses
47.0%
Dragon Dance Recorded use in 420 of 16491 distinct recorded team appearances (2.5%) 214 winning team uses of 420 recorded team uses
51.0%

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: 2026/10/12 11:01–2026/10/16 00:34 UTC 2.81 48.81 160968 4520 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 2.82 47.36 160966 4544 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 2.14 46.70 160966 3441 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 2.48 46.21 160966 3986 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 3.19 46.58 128104 4083 Observed
~R1208 2.71 44.72 129182 3504 Observed
~R1302 2.26 47.77 126962 2872 Observed
~R1405 1.78 46.64 130626 2320 Observed
R1405~ 2.88 50.75 128992 3712 Observed

Dragapult Observed Statistics

Performance Metrics

Dragapult has a reported usage rate of 2.56% and win rate of 47.34% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 7,807 wins and 8,684 losses (16,491 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 2.81% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 2.48% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 team slots), a change of -0.33 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 48.81% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=4,520 recorded appearances) and 46.21% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=3,986 recorded appearances), a change of -2.60 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 1.78% (~R1405; n=130,626 team slots) to 3.19% (~R1129; n=128,104 team slots), a spread of 1.41 percentage points. Overall usage was 2.56%. 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 Darts has the largest recorded team-use count (2,734; 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: Rillaboom: 50.2% wins in 5,512 recorded pair observations; Golisopod: 50.7% wins in 4,009 recorded pair observations; Indeedee-F: 48.3% wins in 3,719 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: Ninetales-Alola: 54.5% wins in 534 recorded pair observations; Sceptile: 53.4% wins in 320 recorded pair observations; Baxcalibur: 53.1% wins in 386 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 40.9% wins in 685 recorded pair observations; Golisopod: 42.8% wins in 2,288 recorded pair observations; Swampert: 42.8% wins in 761 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%

Rillaboom
Rillaboom5512 recorded pair observations · 1.71 pair observations per 100 analyzed battles
50.2%
Golisopod
Golisopod4009 recorded pair observations · 1.25 pair observations per 100 analyzed battles
50.7%
Indeedee-F
Indeedee-F3719 recorded pair observations · 1.16 pair observations per 100 analyzed battles
48.3%
Archaludon
Archaludon3704 recorded pair observations · 1.15 pair observations per 100 analyzed battles
51.5%
Annihilape
Annihilape3520 recorded pair observations · 1.09 pair observations per 100 analyzed battles
51.5%
Politoed
Politoed3213 recorded pair observations · 1.00 pair observations per 100 analyzed battles
51.2%
Sneasler
Sneasler2767 recorded pair observations · 0.86 pair observations per 100 analyzed battles
48.8%
Raichu
Raichu1965 recorded pair observations · 0.61 pair observations per 100 analyzed battles
47.3%
Milotic
Milotic1951 recorded pair observations · 0.61 pair observations per 100 analyzed battles
50.1%
Incineroar
Incineroar1799 recorded pair observations · 0.56 pair observations per 100 analyzed battles
46.2%
Metagross
Metagross1618 recorded pair observations · 0.50 pair observations per 100 analyzed battles
49.5%
Pelipper
Pelipper1548 recorded pair observations · 0.48 pair observations per 100 analyzed battles
47.7%
Whimsicott
Whimsicott1544 recorded pair observations · 0.48 pair observations per 100 analyzed battles
46.2%
Kingambit
Kingambit1350 recorded pair observations · 0.42 pair observations per 100 analyzed battles
49.6%
Salamence
Salamence1309 recorded pair observations · 0.41 pair observations per 100 analyzed battles
44.5%
Volcarona
Volcarona1286 recorded pair observations · 0.40 pair observations per 100 analyzed battles
47.0%
Tyranitar
Tyranitar1252 recorded pair observations · 0.39 pair observations per 100 analyzed battles
50.1%
Charizard
Charizard1184 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.3%
Lucario
Lucario1152 recorded pair observations · 0.36 pair observations per 100 analyzed battles
44.1%
Arcanine-Hisui
Arcanine-Hisui1132 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.7%

Frequent Matchups

Most common opponents · bars centered at 50%

Sneasler
Sneasler5007 recorded pair observations · 1.56 pair observations per 100 analyzed battles
47.2%
Rillaboom
Rillaboom4990 recorded pair observations · 1.55 pair observations per 100 analyzed battles
48.3%
Incineroar
Incineroar4447 recorded pair observations · 1.38 pair observations per 100 analyzed battles
48.2%
Garchomp
Garchomp4190 recorded pair observations · 1.30 pair observations per 100 analyzed battles
46.4%
Archaludon
Archaludon3104 recorded pair observations · 0.96 pair observations per 100 analyzed battles
43.6%
Indeedee-F
Indeedee-F2950 recorded pair observations · 0.92 pair observations per 100 analyzed battles
47.2%
Raichu
Raichu2900 recorded pair observations · 0.90 pair observations per 100 analyzed battles
47.5%
Kingambit
Kingambit2888 recorded pair observations · 0.90 pair observations per 100 analyzed battles
47.1%
Charizard
Charizard2798 recorded pair observations · 0.87 pair observations per 100 analyzed battles
44.4%
Farigiraf
Farigiraf2707 recorded pair observations · 0.84 pair observations per 100 analyzed battles
44.7%
Pelipper
Pelipper2705 recorded pair observations · 0.84 pair observations per 100 analyzed battles
43.8%
Golisopod
Golisopod2288 recorded pair observations · 0.71 pair observations per 100 analyzed battles
42.8%
Gholdengo
Gholdengo2160 recorded pair observations · 0.67 pair observations per 100 analyzed battles
46.8%
Basculegion
Basculegion2011 recorded pair observations · 0.62 pair observations per 100 analyzed battles
44.5%
Whimsicott
Whimsicott1936 recorded pair observations · 0.60 pair observations per 100 analyzed battles
46.9%
Salamence
Salamence1868 recorded pair observations · 0.58 pair observations per 100 analyzed battles
49.1%
Sinistcha
Sinistcha1657 recorded pair observations · 0.51 pair observations per 100 analyzed battles
48.1%
Tyranitar
Tyranitar1641 recorded pair observations · 0.51 pair observations per 100 analyzed battles
47.3%
Milotic
Milotic1434 recorded pair observations · 0.45 pair observations per 100 analyzed battles
50.1%
Sylveon
Sylveon1431 recorded pair observations · 0.44 pair observations per 100 analyzed battles
44.2%

Higher Win-rate Partners

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

Annihilape
Annihilape3520 recorded pair observations · 1.09 pair observations per 100 analyzed battles
51.5%
Archaludon
Archaludon3704 recorded pair observations · 1.15 pair observations per 100 analyzed battles
51.5%
Floette-Eternal
Floette-Eternal611 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.2%
Politoed
Politoed3213 recorded pair observations · 1.00 pair observations per 100 analyzed battles
51.2%
Armarouge
Armarouge532 recorded pair observations · 0.17 pair observations per 100 analyzed battles
51.1%
Golisopod
Golisopod4009 recorded pair observations · 1.25 pair observations per 100 analyzed battles
50.7%
Rillaboom
Rillaboom5512 recorded pair observations · 1.71 pair observations per 100 analyzed battles
50.2%
Milotic
Milotic1951 recorded pair observations · 0.61 pair observations per 100 analyzed battles
50.1%
Tyranitar
Tyranitar1252 recorded pair observations · 0.39 pair observations per 100 analyzed battles
50.1%
Gardevoir
Gardevoir895 recorded pair observations · 0.28 pair observations per 100 analyzed battles
49.8%

Lower Win-rate Partners

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

Absol
Absol353 recorded pair observations · 0.11 pair observations per 100 analyzed battles
36.3%
Gallade
Gallade306 recorded pair observations · 0.10 pair observations per 100 analyzed battles
37.9%
Clefable
Clefable398 recorded pair observations · 0.12 pair observations per 100 analyzed battles
38.7%
Gholdengo
Gholdengo544 recorded pair observations · 0.17 pair observations per 100 analyzed battles
40.4%
Maushold
Maushold344 recorded pair observations · 0.11 pair observations per 100 analyzed battles
41.6%
Sylveon
Sylveon776 recorded pair observations · 0.24 pair observations per 100 analyzed battles
42.1%
Corviknight
Corviknight663 recorded pair observations · 0.21 pair observations per 100 analyzed battles
42.5%
Inteleon
Inteleon969 recorded pair observations · 0.30 pair observations per 100 analyzed battles
42.8%
Indeedee
Indeedee642 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.0%
Sirfetch’d
Sirfetch’d338 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.2%

Higher Win-rate Opponent Teams

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

Ninetales-Alola
Ninetales-Alola534 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.5%
Sceptile
Sceptile320 recorded pair observations · 0.10 pair observations per 100 analyzed battles
53.4%
Baxcalibur
Baxcalibur386 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.1%
Maushold
Maushold320 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.5%
Rotom-Wash
Rotom-Wash361 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.8%
Corviknight
Corviknight493 recorded pair observations · 0.15 pair observations per 100 analyzed battles
51.3%
Espathra
Espathra347 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.3%
Absol
Absol316 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.0%
Blaziken
Blaziken416 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.0%
Gengar
Gengar805 recorded pair observations · 0.25 pair observations per 100 analyzed battles
50.9%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F685 recorded pair observations · 0.21 pair observations per 100 analyzed battles
40.9%
Golisopod
Golisopod2288 recorded pair observations · 0.71 pair observations per 100 analyzed battles
42.8%
Swampert
Swampert761 recorded pair observations · 0.24 pair observations per 100 analyzed battles
42.8%
Venusaur
Venusaur1322 recorded pair observations · 0.41 pair observations per 100 analyzed battles
43.0%
Hatterene
Hatterene363 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.5%
Archaludon
Archaludon3104 recorded pair observations · 0.96 pair observations per 100 analyzed battles
43.6%
Torkoal
Torkoal855 recorded pair observations · 0.27 pair observations per 100 analyzed battles
43.6%
Grimmsnarl
Grimmsnarl1098 recorded pair observations · 0.34 pair observations per 100 analyzed battles
43.8%
Pelipper
Pelipper2705 recorded pair observations · 0.84 pair observations per 100 analyzed battles
43.8%
Sylveon
Sylveon1431 recorded pair observations · 0.44 pair observations per 100 analyzed battles
44.2%