Last Updated: 10/26/2026 11:04 [UTC]

Dragapult

Tier C

BSS Regulation M-C (Pokemon Champions)

3.87%Usage Rate
52.73%Win Rate
30.77%Lead Rate
49.54%Selection Rate
1148Avg Rating

1940 recorded team appearances · 1023 wins · 917 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Curse Recorded use in 339 of 1940 distinct recorded team appearances (17.5%) 243 winning team uses of 339 recorded team uses
71.7%
Light Screen Recorded use in 338 of 1940 distinct recorded team appearances (17.4%) 245 winning team uses of 338 recorded team uses
72.5%
Reflect Recorded use in 318 of 1940 distinct recorded team appearances (16.4%) 228 winning team uses of 318 recorded team uses
71.7%
Shadow Ball Recorded use in 192 of 1940 distinct recorded team appearances (9.9%) 136 winning team uses of 192 recorded team uses
70.8%
Dragon Darts Recorded use in 154 of 1940 distinct recorded team appearances (7.9%) 78 winning team uses of 154 recorded team uses
50.6%
U-turn Recorded use in 81 of 1940 distinct recorded team appearances (4.2%) 37 winning team uses of 81 recorded team uses
45.7%
Draco Meteor Recorded use in 65 of 1940 distinct recorded team appearances (3.4%) 30 winning team uses of 65 recorded team uses
46.2%
Phantom Force Recorded use in 54 of 1940 distinct recorded team appearances (2.8%) 14 winning team uses of 54 recorded team uses
25.9%
Will-O-Wisp Recorded use in 46 of 1940 distinct recorded team appearances (2.4%) 28 winning team uses of 46 recorded team uses
60.9%
Dragon Dance Recorded use in 43 of 1940 distinct recorded team appearances (2.2%) 22 winning team uses of 43 recorded team uses
51.2%

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: 2026/10/12 11:01–2026/10/15 12:54 UTC 4.54 54.56 12542 570 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 5.58 52.29 12542 700 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 2.72 56.30 12542 341 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 2.62 46.81 12540 329 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 5.89 60.14 9968 587 Observed
~R1142 4.20 55.02 9958 418 Observed
~R1208 4.21 51.29 10104 425 Observed
~R1298 3.02 45.36 10004 302 Observed
R1298~ 2.05 40.87 10132 208 Observed

Dragapult Observed Statistics

Performance Metrics

Dragapult has a reported usage rate of 3.87% and win rate of 52.73% in BSS Regulation M-C (Pokemon Champions) (displayed tier: C). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,023 wins and 917 losses (1,940 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 4.54% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 2.62% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=12,540 team slots), a change of -1.92 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 54.56% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=570 recorded appearances) and 46.81% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=329 recorded appearances), a change of -7.75 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 2.05% (R1298~; n=10,132 team slots) to 5.89% (~R1089; n=9,968 team slots), a spread of 3.84 percentage points. Overall usage was 3.87%. 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, Curse has the largest recorded team-use count (339; 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: 65.1% wins in 759 recorded pair observations; Golisopod: 68.2% wins in 675 recorded pair observations; Primarina: 68.7% wins in 626 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: Barbaracle: 68.8% wins in 96 recorded pair observations; Gardevoir: 66.7% wins in 24 recorded pair observations; Krookodile: 66.7% wins in 27 recorded pair observations. Returned lower-win-rate opponent group: Banette: 33.3% wins in 51 recorded pair observations; Torkoal: 33.3% wins in 24 recorded pair observations; Arcanine-Hisui: 36.7% wins in 30 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
Gholdengo759 recorded pair observations · 3.03 pair observations per 100 analyzed battles
65.1%
Golisopod
Golisopod675 recorded pair observations · 2.69 pair observations per 100 analyzed battles
68.2%
Primarina
Primarina626 recorded pair observations · 2.50 pair observations per 100 analyzed battles
68.7%
Salamence
Salamence560 recorded pair observations · 2.23 pair observations per 100 analyzed battles
71.2%
Archaludon
Archaludon431 recorded pair observations · 1.72 pair observations per 100 analyzed battles
65.0%
Garchomp
Garchomp241 recorded pair observations · 0.96 pair observations per 100 analyzed battles
46.1%
Corviknight
Corviknight221 recorded pair observations · 0.88 pair observations per 100 analyzed battles
40.3%
Lucario
Lucario200 recorded pair observations · 0.80 pair observations per 100 analyzed battles
45.0%
Rotom-Wash
Rotom-Wash198 recorded pair observations · 0.79 pair observations per 100 analyzed battles
46.5%
Sneasler
Sneasler190 recorded pair observations · 0.76 pair observations per 100 analyzed battles
42.6%
Venusaur
Venusaur183 recorded pair observations · 0.73 pair observations per 100 analyzed battles
49.7%
Umbreon
Umbreon172 recorded pair observations · 0.69 pair observations per 100 analyzed battles
52.9%
Baxcalibur
Baxcalibur168 recorded pair observations · 0.67 pair observations per 100 analyzed battles
45.8%
Meowscarada
Meowscarada168 recorded pair observations · 0.67 pair observations per 100 analyzed battles
57.1%
Rillaboom
Rillaboom168 recorded pair observations · 0.67 pair observations per 100 analyzed battles
46.4%
Clefable
Clefable164 recorded pair observations · 0.65 pair observations per 100 analyzed battles
48.2%
Basculegion
Basculegion145 recorded pair observations · 0.58 pair observations per 100 analyzed battles
62.8%
Charizard
Charizard121 recorded pair observations · 0.48 pair observations per 100 analyzed battles
53.7%
Samurott-Hisui
Samurott-Hisui121 recorded pair observations · 0.48 pair observations per 100 analyzed battles
45.5%
Scolipede
Scolipede120 recorded pair observations · 0.48 pair observations per 100 analyzed battles
48.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp570 recorded pair observations · 2.27 pair observations per 100 analyzed battles
51.2%
Primarina
Primarina411 recorded pair observations · 1.64 pair observations per 100 analyzed battles
46.2%
Archaludon
Archaludon390 recorded pair observations · 1.55 pair observations per 100 analyzed battles
47.7%
Gholdengo
Gholdengo378 recorded pair observations · 1.51 pair observations per 100 analyzed battles
50.5%
Mimikyu
Mimikyu351 recorded pair observations · 1.40 pair observations per 100 analyzed battles
49.3%
Salamence
Salamence347 recorded pair observations · 1.38 pair observations per 100 analyzed battles
53.6%
Hippowdon
Hippowdon331 recorded pair observations · 1.32 pair observations per 100 analyzed battles
53.8%
Corviknight
Corviknight291 recorded pair observations · 1.16 pair observations per 100 analyzed battles
49.8%
Golisopod
Golisopod288 recorded pair observations · 1.15 pair observations per 100 analyzed battles
42.7%
Basculegion
Basculegion252 recorded pair observations · 1.00 pair observations per 100 analyzed battles
48.0%
Lucario
Lucario229 recorded pair observations · 0.91 pair observations per 100 analyzed battles
48.0%
Kingambit
Kingambit226 recorded pair observations · 0.90 pair observations per 100 analyzed battles
64.2%
Charizard
Charizard216 recorded pair observations · 0.86 pair observations per 100 analyzed battles
50.9%
Baxcalibur
Baxcalibur205 recorded pair observations · 0.82 pair observations per 100 analyzed battles
50.7%
Metagross
Metagross192 recorded pair observations · 0.77 pair observations per 100 analyzed battles
49.0%
Rillaboom
Rillaboom186 recorded pair observations · 0.74 pair observations per 100 analyzed battles
57.0%
Floette-Eternal
Floette-Eternal175 recorded pair observations · 0.70 pair observations per 100 analyzed battles
58.3%
Clefable
Clefable172 recorded pair observations · 0.69 pair observations per 100 analyzed battles
59.3%
Meowscarada
Meowscarada171 recorded pair observations · 0.68 pair observations per 100 analyzed battles
46.2%
Scizor
Scizor171 recorded pair observations · 0.68 pair observations per 100 analyzed battles
61.4%

Higher Win-rate Partners

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

Salamence
Salamence560 recorded pair observations · 2.23 pair observations per 100 analyzed battles
71.2%
Primarina
Primarina626 recorded pair observations · 2.50 pair observations per 100 analyzed battles
68.7%
Golisopod
Golisopod675 recorded pair observations · 2.69 pair observations per 100 analyzed battles
68.2%
Gholdengo
Gholdengo759 recorded pair observations · 3.03 pair observations per 100 analyzed battles
65.1%
Archaludon
Archaludon431 recorded pair observations · 1.72 pair observations per 100 analyzed battles
65.0%
Hydreigon
Hydreigon25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
64.0%
Basculegion
Basculegion145 recorded pair observations · 0.58 pair observations per 100 analyzed battles
62.8%
Gyarados
Gyarados51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
60.8%
Meowscarada
Meowscarada168 recorded pair observations · 0.67 pair observations per 100 analyzed battles
57.1%
Staraptor
Staraptor28 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%

Rotom-Mow
Rotom-Mow25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
28.0%
Toxapex
Toxapex52 recorded pair observations · 0.21 pair observations per 100 analyzed battles
30.8%
Delphox
Delphox35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
31.4%
Mamoswine
Mamoswine34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
35.3%
Ninetales-Alola
Ninetales-Alola27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
37.0%
Aerodactyl
Aerodactyl35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
37.1%
Lopunny
Lopunny26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.5%
Metagross
Metagross54 recorded pair observations · 0.22 pair observations per 100 analyzed battles
38.9%
Audino
Audino81 recorded pair observations · 0.32 pair observations per 100 analyzed battles
39.5%
Corviknight
Corviknight221 recorded pair observations · 0.88 pair observations per 100 analyzed battles
40.3%

Higher Win-rate Opponent Teams

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

Barbaracle
Barbaracle96 recorded pair observations · 0.38 pair observations per 100 analyzed battles
68.8%
Gardevoir
Gardevoir24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
66.7%
Krookodile
Krookodile27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
66.7%
Araquanid
Araquanid62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
66.1%
Rotom-Heat
Rotom-Heat35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
65.7%
Kingambit
Kingambit226 recorded pair observations · 0.90 pair observations per 100 analyzed battles
64.2%
Gallade
Gallade39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
64.1%
Scolipede
Scolipede118 recorded pair observations · 0.47 pair observations per 100 analyzed battles
63.6%
Sableye
Sableye30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
63.3%
Zoroark-Hisui
Zoroark-Hisui35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
62.9%

Lower Win-rate Opponent Teams

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

Banette
Banette51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
33.3%
Torkoal
Torkoal24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
33.3%
Arcanine-Hisui
Arcanine-Hisui30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
36.7%
Swampert
Swampert85 recorded pair observations · 0.34 pair observations per 100 analyzed battles
40.0%
Golisopod
Golisopod288 recorded pair observations · 1.15 pair observations per 100 analyzed battles
42.7%
Politoed
Politoed28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
42.9%
Sylveon
Sylveon35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.9%
Gengar
Gengar99 recorded pair observations · 0.39 pair observations per 100 analyzed battles
43.4%
Pawmot
Pawmot85 recorded pair observations · 0.34 pair observations per 100 analyzed battles
43.5%
Mamoswine
Mamoswine34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.1%