Last Updated: 10/11/2026 11:14 [UTC]

Altaria

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.05%Usage Rate
46.85%Win Rate
21.66%Lead Rate
44.96%Selection Rate
1228Avg Rating

6880 recorded team appearances · 3223 wins · 3657 losses · 09/27/2026–10/11/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Protect Recorded use in 956 of 6880 distinct recorded team appearances (13.9%) 439 winning team uses of 956 recorded team uses
45.9%
Hyper Voice Recorded use in 898 of 6880 distinct recorded team appearances (13.1%) 465 winning team uses of 898 recorded team uses
51.8%
Tailwind Recorded use in 863 of 6880 distinct recorded team appearances (12.5%) 398 winning team uses of 863 recorded team uses
46.1%
Will-O-Wisp Recorded use in 544 of 6880 distinct recorded team appearances (7.9%) 268 winning team uses of 544 recorded team uses
49.3%
Ice Beam Recorded use in 415 of 6880 distinct recorded team appearances (6.0%) 176 winning team uses of 415 recorded team uses
42.4%
Draco Meteor Recorded use in 199 of 6880 distinct recorded team appearances (2.9%) 95 winning team uses of 199 recorded team uses
47.7%
Roost Recorded use in 145 of 6880 distinct recorded team appearances (2.1%) 73 winning team uses of 145 recorded team uses
50.3%
Cotton Guard Recorded use in 136 of 6880 distinct recorded team appearances (2.0%) 60 winning team uses of 136 recorded team uses
44.1%
Perish Song Recorded use in 136 of 6880 distinct recorded team appearances (2.0%) 68 winning team uses of 136 recorded team uses
50.0%
Dragon Pulse Recorded use in 131 of 6880 distinct recorded team appearances (1.9%) 60 winning team uses of 131 recorded team uses
45.8%

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: 2026/09/27 20:00–2026/10/01 12:43 JST 1.22 47.01 164466 2006 Observed
Period 2: 2026/10/01 12:43–2026/10/04 22:14 JST 1.14 47.39 164464 1874 Observed
Period 3: 2026/10/04 22:14–2026/10/08 09:02 JST 0.96 45.21 164464 1575 Observed
Period 4: 2026/10/08 09:02–2026/10/11 19:58 JST 0.87 47.72 164464 1425 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1128 1.36 46.25 131340 1786 Observed
~R1200 1.14 45.33 131190 1498 Observed
~R1285 1.04 44.72 131682 1364 Observed
~R1376 0.95 50.52 131238 1241 Observed
R1376~ 0.75 48.54 132408 991 Observed

Altaria Observed Statistics

Performance Metrics

Altaria has a reported usage rate of 1.05% and win rate of 46.85% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 09/27/2026 to 10/11/2026, with 328,929 recorded battles. 3,223 wins and 3,657 losses (6,880 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 1.22% in the first available period (Period 1: 2026/09/27 20:00–2026/10/01 12:43 JST; n=164,466 team slots) and 0.87% in the last available period (Period 4: 2026/10/08 09:02–2026/10/11 19:58 JST; n=164,464 team slots), a change of -0.35 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 47.01% in the first available period (Period 1: 2026/09/27 20:00–2026/10/01 12:43 JST; n=2,006 recorded appearances) and 47.72% in the last available period (Period 4: 2026/10/08 09:02–2026/10/11 19:58 JST; n=1,425 recorded appearances), a change of +0.71 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 0.75% (R1376~; n=132,408 team slots) to 1.36% (~R1128; n=131,340 team slots), a spread of 0.61 percentage points. Overall usage was 1.05%. 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, Protect has the largest recorded team-use count (956; 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: Indeedee-F: 48.6% wins in 3,000 recorded pair observations; Milotic: 48.7% wins in 2,603 recorded pair observations; Metagross: 48.2% wins in 2,443 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: Corviknight: 53.0% wins in 328 recorded pair observations; Grimmsnarl: 51.9% wins in 414 recorded pair observations; Politoed: 50.2% wins in 584 recorded pair observations. Returned lower-win-rate opponent group: Raichu: 42.0% wins in 1,202 recorded pair observations; Gholdengo: 43.6% wins in 1,150 recorded pair observations; Tyranitar: 43.7% wins in 684 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%

Indeedee-F
Indeedee-F3000 recorded pair observations · 0.91 pair observations per 100 analyzed battles
48.6%
Milotic
Milotic2603 recorded pair observations · 0.79 pair observations per 100 analyzed battles
48.7%
Metagross
Metagross2443 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.2%
Arcanine-Hisui
Arcanine-Hisui2268 recorded pair observations · 0.69 pair observations per 100 analyzed battles
49.4%
Dragapult
Dragapult2042 recorded pair observations · 0.62 pair observations per 100 analyzed battles
49.2%
Rillaboom
Rillaboom1734 recorded pair observations · 0.53 pair observations per 100 analyzed battles
48.9%
Incineroar
Incineroar1404 recorded pair observations · 0.43 pair observations per 100 analyzed battles
47.5%
Sneasler
Sneasler1240 recorded pair observations · 0.38 pair observations per 100 analyzed battles
49.0%
Volcarona
Volcarona753 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.3%
Gengar
Gengar747 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.8%
Kingambit
Kingambit717 recorded pair observations · 0.22 pair observations per 100 analyzed battles
48.0%
Farigiraf
Farigiraf579 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.2%
Raichu
Raichu573 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.4%
Gholdengo
Gholdengo477 recorded pair observations · 0.15 pair observations per 100 analyzed battles
47.6%
Basculegion
Basculegion474 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.5%
Garchomp
Garchomp444 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.2%
Indeedee
Indeedee432 recorded pair observations · 0.13 pair observations per 100 analyzed battles
47.5%
Sinistcha
Sinistcha388 recorded pair observations · 0.12 pair observations per 100 analyzed battles
40.0%
Talonflame
Talonflame320 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2497 recorded pair observations · 0.76 pair observations per 100 analyzed battles
45.2%
Sneasler
Sneasler2093 recorded pair observations · 0.64 pair observations per 100 analyzed battles
47.2%
Incineroar
Incineroar1939 recorded pair observations · 0.59 pair observations per 100 analyzed battles
46.9%
Garchomp
Garchomp1518 recorded pair observations · 0.46 pair observations per 100 analyzed battles
45.3%
Indeedee-F
Indeedee-F1328 recorded pair observations · 0.40 pair observations per 100 analyzed battles
45.5%
Raichu
Raichu1202 recorded pair observations · 0.37 pair observations per 100 analyzed battles
42.0%
Kingambit
Kingambit1171 recorded pair observations · 0.36 pair observations per 100 analyzed battles
44.7%
Farigiraf
Farigiraf1151 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.7%
Gholdengo
Gholdengo1150 recorded pair observations · 0.35 pair observations per 100 analyzed battles
43.6%
Salamence
Salamence1111 recorded pair observations · 0.34 pair observations per 100 analyzed battles
44.6%
Archaludon
Archaludon967 recorded pair observations · 0.29 pair observations per 100 analyzed battles
46.7%
Golisopod
Golisopod925 recorded pair observations · 0.28 pair observations per 100 analyzed battles
49.0%
Charizard
Charizard866 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.5%
Pelipper
Pelipper855 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.2%
Basculegion
Basculegion805 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.6%
Volcarona
Volcarona798 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.7%
Milotic
Milotic758 recorded pair observations · 0.23 pair observations per 100 analyzed battles
46.2%
Whimsicott
Whimsicott708 recorded pair observations · 0.22 pair observations per 100 analyzed battles
47.3%
Tyranitar
Tyranitar684 recorded pair observations · 0.21 pair observations per 100 analyzed battles
43.7%
Sinistcha
Sinistcha668 recorded pair observations · 0.20 pair observations per 100 analyzed battles
49.1%

Higher Win-rate Partners

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

Basculegion
Basculegion474 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.5%
Raichu
Raichu573 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.4%
Arcanine-Hisui
Arcanine-Hisui2268 recorded pair observations · 0.69 pair observations per 100 analyzed battles
49.4%
Dragapult
Dragapult2042 recorded pair observations · 0.62 pair observations per 100 analyzed battles
49.2%
Sneasler
Sneasler1240 recorded pair observations · 0.38 pair observations per 100 analyzed battles
49.0%
Rillaboom
Rillaboom1734 recorded pair observations · 0.53 pair observations per 100 analyzed battles
48.9%
Milotic
Milotic2603 recorded pair observations · 0.79 pair observations per 100 analyzed battles
48.7%
Indeedee-F
Indeedee-F3000 recorded pair observations · 0.91 pair observations per 100 analyzed battles
48.6%
Volcarona
Volcarona753 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.3%
Farigiraf
Farigiraf579 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.2%

Lower Win-rate Partners

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

Sinistcha
Sinistcha388 recorded pair observations · 0.12 pair observations per 100 analyzed battles
40.0%
Garchomp
Garchomp444 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.2%
Gengar
Gengar747 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.8%
Talonflame
Talonflame320 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.0%

Higher Win-rate Opponent Teams

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

Corviknight
Corviknight328 recorded pair observations · 0.10 pair observations per 100 analyzed battles
53.0%
Grimmsnarl
Grimmsnarl414 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.9%
Politoed
Politoed584 recorded pair observations · 0.18 pair observations per 100 analyzed battles
50.2%
Gengar
Gengar362 recorded pair observations · 0.11 pair observations per 100 analyzed battles
49.5%
Sinistcha
Sinistcha668 recorded pair observations · 0.20 pair observations per 100 analyzed battles
49.1%
Golisopod
Golisopod925 recorded pair observations · 0.28 pair observations per 100 analyzed battles
49.0%
Charizard
Charizard866 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.5%
Pelipper
Pelipper855 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.2%
Indeedee
Indeedee610 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.9%
Farigiraf
Farigiraf1151 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.7%

Lower Win-rate Opponent Teams

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

Raichu
Raichu1202 recorded pair observations · 0.37 pair observations per 100 analyzed battles
42.0%
Gholdengo
Gholdengo1150 recorded pair observations · 0.35 pair observations per 100 analyzed battles
43.6%
Tyranitar
Tyranitar684 recorded pair observations · 0.21 pair observations per 100 analyzed battles
43.7%
Gardevoir
Gardevoir502 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.0%
Floette-Eternal
Floette-Eternal406 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.1%
Armarouge
Armarouge317 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.2%
Salamence
Salamence1111 recorded pair observations · 0.34 pair observations per 100 analyzed battles
44.6%
Sylveon
Sylveon527 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.6%
Kingambit
Kingambit1171 recorded pair observations · 0.36 pair observations per 100 analyzed battles
44.7%
Rillaboom
Rillaboom2497 recorded pair observations · 0.76 pair observations per 100 analyzed battles
45.2%