Last Updated: 10/26/2026 11:09 [UTC]

Aerodactyl

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

2.86%Usage Rate
48.79%Win Rate
42.65%Lead Rate
57.96%Selection Rate
1243Avg Rating

18389 recorded team appearances · 8972 wins · 9417 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Rock Slide Recorded use in 6432 of 18389 distinct recorded team appearances (35.0%) 3414 winning team uses of 6432 recorded team uses
53.1%
Tailwind Recorded use in 4892 of 18389 distinct recorded team appearances (26.6%) 2538 winning team uses of 4892 recorded team uses
51.9%
Dual Wingbeat Recorded use in 2525 of 18389 distinct recorded team appearances (13.7%) 1372 winning team uses of 2525 recorded team uses
54.3%
Protect Recorded use in 2370 of 18389 distinct recorded team appearances (12.9%) 1098 winning team uses of 2370 recorded team uses
46.3%
Wide Guard Recorded use in 1719 of 18389 distinct recorded team appearances (9.3%) 800 winning team uses of 1719 recorded team uses
46.5%
Ice Fang Recorded use in 295 of 18389 distinct recorded team appearances (1.6%) 166 winning team uses of 295 recorded team uses
56.3%
Taunt Recorded use in 280 of 18389 distinct recorded team appearances (1.5%) 139 winning team uses of 280 recorded team uses
49.6%
Earthquake Recorded use in 83 of 18389 distinct recorded team appearances (0.5%) 39 winning team uses of 83 recorded team uses
47.0%
Sunny Day Recorded use in 58 of 18389 distinct recorded team appearances (0.3%) 25 winning team uses of 58 recorded team uses
43.1%
Psychic Fangs Recorded use in 53 of 18389 distinct recorded team appearances (0.3%) 21 winning team uses of 53 recorded team uses
39.6%

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 2.64 49.09 160968 4245 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 3.49 50.04 160966 5621 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 2.62 46.69 160966 4215 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 2.68 48.91 160966 4308 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 3.30 51.07 128104 4224 Observed
~R1208 3.58 49.43 129182 4621 Observed
~R1302 3.04 46.26 126962 3859 Observed
~R1405 2.50 47.86 130626 3268 Observed
R1405~ 1.87 48.90 128992 2417 Observed

Aerodactyl Observed Statistics

Performance Metrics

Aerodactyl has a reported usage rate of 2.86% and win rate of 48.79% 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. 8,972 wins and 9,417 losses (18,389 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 2.64% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 2.68% 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 +0.04 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 49.09% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=4,245 recorded appearances) and 48.91% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=4,308 recorded appearances), a change of -0.18 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 1.87% (R1405~; n=128,992 team slots) to 3.58% (~R1208; n=129,182 team slots), a spread of 1.71 percentage points. Overall usage was 2.86%. 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, Rock Slide has the largest recorded team-use count (6,432; 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: Garchomp: 51.4% wins in 7,430 recorded pair observations; Charizard: 52.0% wins in 6,156 recorded pair observations; Incineroar: 50.5% wins in 5,567 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: Alakazam: 60.1% wins in 318 recorded pair observations; Typhlosion-Hisui: 57.5% wins in 384 recorded pair observations; Gallade: 57.0% wins in 309 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 38.9% wins in 789 recorded pair observations; Primarina: 43.2% wins in 956 recorded pair observations; Archaludon: 44.2% wins in 3,473 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%

Garchomp
Garchomp7430 recorded pair observations · 2.31 pair observations per 100 analyzed battles
51.4%
Charizard
Charizard6156 recorded pair observations · 1.91 pair observations per 100 analyzed battles
52.0%
Incineroar
Incineroar5567 recorded pair observations · 1.73 pair observations per 100 analyzed battles
50.5%
Sylveon
Sylveon5519 recorded pair observations · 1.71 pair observations per 100 analyzed battles
52.8%
Farigiraf
Farigiraf5008 recorded pair observations · 1.56 pair observations per 100 analyzed battles
50.9%
Kingambit
Kingambit4560 recorded pair observations · 1.42 pair observations per 100 analyzed battles
52.3%
Rillaboom
Rillaboom3773 recorded pair observations · 1.17 pair observations per 100 analyzed battles
49.5%
Sneasler
Sneasler3547 recorded pair observations · 1.10 pair observations per 100 analyzed battles
48.1%
Indeedee-F
Indeedee-F2432 recorded pair observations · 0.76 pair observations per 100 analyzed battles
46.4%
Gholdengo
Gholdengo1912 recorded pair observations · 0.59 pair observations per 100 analyzed battles
48.7%
Raichu
Raichu1571 recorded pair observations · 0.49 pair observations per 100 analyzed battles
47.7%
Basculegion
Basculegion1541 recorded pair observations · 0.48 pair observations per 100 analyzed battles
49.8%
Sinistcha
Sinistcha1344 recorded pair observations · 0.42 pair observations per 100 analyzed battles
47.0%
Milotic
Milotic1305 recorded pair observations · 0.41 pair observations per 100 analyzed battles
47.7%
Tyranitar
Tyranitar1189 recorded pair observations · 0.37 pair observations per 100 analyzed battles
46.2%
Venusaur
Venusaur1096 recorded pair observations · 0.34 pair observations per 100 analyzed battles
51.5%
Froslass
Froslass1084 recorded pair observations · 0.34 pair observations per 100 analyzed battles
49.9%
Gardevoir
Gardevoir1077 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.4%
Whimsicott
Whimsicott1055 recorded pair observations · 0.33 pair observations per 100 analyzed battles
46.7%
Volcarona
Volcarona1031 recorded pair observations · 0.32 pair observations per 100 analyzed battles
51.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom5580 recorded pair observations · 1.73 pair observations per 100 analyzed battles
45.1%
Sneasler
Sneasler5484 recorded pair observations · 1.70 pair observations per 100 analyzed battles
47.1%
Incineroar
Incineroar4802 recorded pair observations · 1.49 pair observations per 100 analyzed battles
47.8%
Garchomp
Garchomp4675 recorded pair observations · 1.45 pair observations per 100 analyzed battles
47.0%
Archaludon
Archaludon3473 recorded pair observations · 1.08 pair observations per 100 analyzed battles
44.2%
Indeedee-F
Indeedee-F3402 recorded pair observations · 1.06 pair observations per 100 analyzed battles
51.2%
Raichu
Raichu3358 recorded pair observations · 1.04 pair observations per 100 analyzed battles
45.0%
Kingambit
Kingambit3099 recorded pair observations · 0.96 pair observations per 100 analyzed battles
47.1%
Pelipper
Pelipper3020 recorded pair observations · 0.94 pair observations per 100 analyzed battles
45.6%
Charizard
Charizard3005 recorded pair observations · 0.93 pair observations per 100 analyzed battles
49.6%
Farigiraf
Farigiraf2918 recorded pair observations · 0.91 pair observations per 100 analyzed battles
48.7%
Golisopod
Golisopod2585 recorded pair observations · 0.80 pair observations per 100 analyzed battles
46.2%
Gholdengo
Gholdengo2431 recorded pair observations · 0.76 pair observations per 100 analyzed battles
45.9%
Whimsicott
Whimsicott2275 recorded pair observations · 0.71 pair observations per 100 analyzed battles
51.2%
Basculegion
Basculegion2122 recorded pair observations · 0.66 pair observations per 100 analyzed battles
45.3%
Salamence
Salamence1938 recorded pair observations · 0.60 pair observations per 100 analyzed battles
45.7%
Sinistcha
Sinistcha1767 recorded pair observations · 0.55 pair observations per 100 analyzed battles
52.6%
Tyranitar
Tyranitar1714 recorded pair observations · 0.53 pair observations per 100 analyzed battles
46.1%
Milotic
Milotic1573 recorded pair observations · 0.49 pair observations per 100 analyzed battles
48.4%
Volcarona
Volcarona1572 recorded pair observations · 0.49 pair observations per 100 analyzed battles
46.4%

Higher Win-rate Partners

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

Kommo-o
Kommo-o877 recorded pair observations · 0.27 pair observations per 100 analyzed battles
53.4%
Archaludon
Archaludon680 recorded pair observations · 0.21 pair observations per 100 analyzed battles
53.1%
Sylveon
Sylveon5519 recorded pair observations · 1.71 pair observations per 100 analyzed battles
52.8%
Floette-Eternal
Floette-Eternal953 recorded pair observations · 0.30 pair observations per 100 analyzed battles
52.6%
Kingambit
Kingambit4560 recorded pair observations · 1.42 pair observations per 100 analyzed battles
52.3%
Charizard
Charizard6156 recorded pair observations · 1.91 pair observations per 100 analyzed battles
52.0%
Venusaur
Venusaur1096 recorded pair observations · 0.34 pair observations per 100 analyzed battles
51.5%
Garchomp
Garchomp7430 recorded pair observations · 2.31 pair observations per 100 analyzed battles
51.4%
Primarina
Primarina773 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.2%
Volcarona
Volcarona1031 recorded pair observations · 0.32 pair observations per 100 analyzed battles
51.0%

Lower Win-rate Partners

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

Excadrill
Excadrill496 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.1%
Delphox
Delphox423 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.7%
Sceptile
Sceptile347 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.8%
Maushold
Maushold347 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.1%
Mamoswine
Mamoswine330 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.2%
Baxcalibur
Baxcalibur519 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.3%
Alakazam
Alakazam382 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.5%
Dragonite
Dragonite408 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.9%
Pawmot
Pawmot420 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.0%
Rotom-Heat
Rotom-Heat328 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.1%

Higher Win-rate Opponent Teams

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

Alakazam
Alakazam318 recorded pair observations · 0.10 pair observations per 100 analyzed battles
60.1%
Typhlosion-Hisui
Typhlosion-Hisui384 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.5%
Gallade
Gallade309 recorded pair observations · 0.10 pair observations per 100 analyzed battles
57.0%
Sableye
Sableye526 recorded pair observations · 0.16 pair observations per 100 analyzed battles
56.3%
Absol
Absol367 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.9%
Annihilape
Annihilape729 recorded pair observations · 0.23 pair observations per 100 analyzed battles
55.0%
Maushold
Maushold409 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.0%
Baxcalibur
Baxcalibur460 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.4%
Ceruledge
Ceruledge342 recorded pair observations · 0.11 pair observations per 100 analyzed battles
54.1%
Lucario
Lucario636 recorded pair observations · 0.20 pair observations per 100 analyzed battles
54.1%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F789 recorded pair observations · 0.25 pair observations per 100 analyzed battles
38.9%
Primarina
Primarina956 recorded pair observations · 0.30 pair observations per 100 analyzed battles
43.2%
Archaludon
Archaludon3473 recorded pair observations · 1.08 pair observations per 100 analyzed battles
44.2%
Staraptor
Staraptor1356 recorded pair observations · 0.42 pair observations per 100 analyzed battles
44.4%
Floette-Eternal
Floette-Eternal1268 recorded pair observations · 0.39 pair observations per 100 analyzed battles
44.6%
Swampert
Swampert819 recorded pair observations · 0.25 pair observations per 100 analyzed battles
44.7%
Raichu
Raichu3358 recorded pair observations · 1.04 pair observations per 100 analyzed battles
45.0%
Arcanine-Hisui
Arcanine-Hisui963 recorded pair observations · 0.30 pair observations per 100 analyzed battles
45.1%
Rillaboom
Rillaboom5580 recorded pair observations · 1.73 pair observations per 100 analyzed battles
45.1%
Basculegion
Basculegion2122 recorded pair observations · 0.66 pair observations per 100 analyzed battles
45.3%