Last Updated: 10/26/2026 11:14 [UTC]

Basculegion

Tier B

VGC 2026 Regulation M-C (Pokemon Champions)

11.76%Usage Rate
51.70%Win Rate
21.55%Lead Rate
59.47%Selection Rate
1304Avg Rating

75688 recorded team appearances · 39131 wins · 36557 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Last Respects Recorded use in 16935 of 75694 distinct recorded team appearances (22.4%) 8799 winning team uses of 16935 recorded team uses
52.0%
Wave Crash Recorded use in 16660 of 75694 distinct recorded team appearances (22.0%) 8783 winning team uses of 16660 recorded team uses
52.7%
Aqua Jet Recorded use in 8361 of 75694 distinct recorded team appearances (11.0%) 4442 winning team uses of 8361 recorded team uses
53.1%
Protect Recorded use in 7268 of 75694 distinct recorded team appearances (9.6%) 3426 winning team uses of 7268 recorded team uses
47.1%
Flip Turn Recorded use in 6682 of 75694 distinct recorded team appearances (8.8%) 3639 winning team uses of 6682 recorded team uses
54.5%
Liquidation Recorded use in 990 of 75694 distinct recorded team appearances (1.3%) 555 winning team uses of 990 recorded team uses
56.1%
Soak Recorded use in 512 of 75694 distinct recorded team appearances (0.7%) 235 winning team uses of 512 recorded team uses
45.9%
Zen Headbutt Recorded use in 247 of 75694 distinct recorded team appearances (0.3%) 49 winning team uses of 247 recorded team uses
19.8%
Psychic Fangs Recorded use in 137 of 75694 distinct recorded team appearances (0.2%) 70 winning team uses of 137 recorded team uses
51.1%
Crunch Recorded use in 105 of 75694 distinct recorded team appearances (0.1%) 29 winning team uses of 105 recorded team uses
27.6%

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 12.39 51.49 160964 19939 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 11.70 51.46 160962 18837 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:24 UTC 11.76 51.24 160962 18931 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 11.17 52.66 160962 17981 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 10.27 52.17 128104 13150 Observed
~R1208 10.34 51.30 129166 13350 Observed
~R1302 11.06 51.89 126962 14042 Observed
~R1405 12.08 52.25 130626 15779 Observed
R1405~ 15.01 51.07 128992 19367 Observed

Basculegion Observed Statistics

Performance Metrics

Basculegion has a reported usage rate of 11.76% and win rate of 51.70% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: B). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,925 recorded battles. 39,131 wins and 36,557 losses (75,688 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 12.39% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,964 team slots) and 11.17% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,962 team slots), a change of -1.22 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 51.49% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=19,939 recorded appearances) and 52.66% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=17,981 recorded appearances), a change of +1.17 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 10.27% (~R1129; n=128,104 team slots) to 15.01% (R1405~; n=128,992 team slots), a spread of 4.74 percentage points. Overall usage was 11.76%. 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, Last Respects has the largest recorded team-use count (16,935; 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: 52.4% wins in 31,565 recorded pair observations; Rillaboom: 52.2% wins in 28,577 recorded pair observations; Kingambit: 53.7% wins in 26,285 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: Meowscarada: 58.1% wins in 785 recorded pair observations; Maushold: 57.9% wins in 1,500 recorded pair observations; Clefable: 57.8% wins in 1,022 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 46.2% wins in 3,729 recorded pair observations; Armarouge: 48.2% wins in 3,397 recorded pair observations; Kingambit: 48.5% wins in 13,361 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
Sneasler31565 recorded pair observations · 9.81 pair observations per 100 analyzed battles
52.4%
Rillaboom
Rillaboom28577 recorded pair observations · 8.88 pair observations per 100 analyzed battles
52.2%
Kingambit
Kingambit26285 recorded pair observations · 8.16 pair observations per 100 analyzed battles
53.7%
Garchomp
Garchomp19384 recorded pair observations · 6.02 pair observations per 100 analyzed battles
52.6%
Incineroar
Incineroar17708 recorded pair observations · 5.50 pair observations per 100 analyzed battles
51.6%
Whimsicott
Whimsicott14608 recorded pair observations · 4.54 pair observations per 100 analyzed battles
52.1%
Floette-Eternal
Floette-Eternal14067 recorded pair observations · 4.37 pair observations per 100 analyzed battles
54.2%
Pelipper
Pelipper13338 recorded pair observations · 4.14 pair observations per 100 analyzed battles
50.8%
Salamence
Salamence13132 recorded pair observations · 4.08 pair observations per 100 analyzed battles
52.6%
Charizard
Charizard12148 recorded pair observations · 3.77 pair observations per 100 analyzed battles
52.6%
Raichu
Raichu12054 recorded pair observations · 3.74 pair observations per 100 analyzed battles
52.5%
Indeedee-F
Indeedee-F11858 recorded pair observations · 3.68 pair observations per 100 analyzed battles
50.6%
Archaludon
Archaludon9744 recorded pair observations · 3.03 pair observations per 100 analyzed battles
52.1%
Volcarona
Volcarona9416 recorded pair observations · 2.92 pair observations per 100 analyzed battles
52.9%
Golisopod
Golisopod8286 recorded pair observations · 2.57 pair observations per 100 analyzed battles
50.8%
Gardevoir
Gardevoir8187 recorded pair observations · 2.54 pair observations per 100 analyzed battles
51.9%
Froslass
Froslass6926 recorded pair observations · 2.15 pair observations per 100 analyzed battles
52.3%
Dragonite
Dragonite6794 recorded pair observations · 2.11 pair observations per 100 analyzed battles
54.9%
Farigiraf
Farigiraf6038 recorded pair observations · 1.88 pair observations per 100 analyzed battles
50.5%
Gholdengo
Gholdengo4692 recorded pair observations · 1.46 pair observations per 100 analyzed battles
50.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom23897 recorded pair observations · 7.42 pair observations per 100 analyzed battles
50.9%
Sneasler
Sneasler23474 recorded pair observations · 7.29 pair observations per 100 analyzed battles
49.5%
Incineroar
Incineroar20922 recorded pair observations · 6.50 pair observations per 100 analyzed battles
51.5%
Garchomp
Garchomp20413 recorded pair observations · 6.34 pair observations per 100 analyzed battles
50.4%
Archaludon
Archaludon15080 recorded pair observations · 4.68 pair observations per 100 analyzed battles
49.7%
Raichu
Raichu14544 recorded pair observations · 4.52 pair observations per 100 analyzed battles
51.1%
Charizard
Charizard13395 recorded pair observations · 4.16 pair observations per 100 analyzed battles
50.0%
Kingambit
Kingambit13361 recorded pair observations · 4.15 pair observations per 100 analyzed battles
48.5%
Indeedee-F
Indeedee-F13179 recorded pair observations · 4.09 pair observations per 100 analyzed battles
50.5%
Pelipper
Pelipper12977 recorded pair observations · 4.03 pair observations per 100 analyzed battles
50.0%
Farigiraf
Farigiraf12717 recorded pair observations · 3.95 pair observations per 100 analyzed battles
50.2%
Golisopod
Golisopod11349 recorded pair observations · 3.53 pair observations per 100 analyzed battles
49.9%
Gholdengo
Gholdengo9906 recorded pair observations · 3.08 pair observations per 100 analyzed battles
52.3%
Basculegion
Basculegion9104 recorded pair observations · 2.83 pair observations per 100 analyzed battles
50.0%
Whimsicott
Whimsicott8936 recorded pair observations · 2.78 pair observations per 100 analyzed battles
53.1%
Salamence
Salamence8338 recorded pair observations · 2.59 pair observations per 100 analyzed battles
49.3%
Tyranitar
Tyranitar7277 recorded pair observations · 2.26 pair observations per 100 analyzed battles
50.5%
Sylveon
Sylveon6788 recorded pair observations · 2.11 pair observations per 100 analyzed battles
48.9%
Sinistcha
Sinistcha6732 recorded pair observations · 2.09 pair observations per 100 analyzed battles
55.5%
Volcarona
Volcarona6583 recorded pair observations · 2.04 pair observations per 100 analyzed battles
52.5%

Higher Win-rate Partners

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

Delphox
Delphox3117 recorded pair observations · 0.97 pair observations per 100 analyzed battles
55.4%
Dragonite
Dragonite6794 recorded pair observations · 2.11 pair observations per 100 analyzed battles
54.9%
Lycanroc-Dusk
Lycanroc-Dusk989 recorded pair observations · 0.31 pair observations per 100 analyzed battles
54.7%
Floette-Eternal
Floette-Eternal14067 recorded pair observations · 4.37 pair observations per 100 analyzed battles
54.2%
Kommo-o
Kommo-o2683 recorded pair observations · 0.83 pair observations per 100 analyzed battles
54.2%
Scovillain
Scovillain1623 recorded pair observations · 0.50 pair observations per 100 analyzed battles
53.8%
Kingambit
Kingambit26285 recorded pair observations · 8.16 pair observations per 100 analyzed battles
53.7%
Volcarona
Volcarona9416 recorded pair observations · 2.92 pair observations per 100 analyzed battles
52.9%
Sylveon
Sylveon4371 recorded pair observations · 1.36 pair observations per 100 analyzed battles
52.8%
Pyroar
Pyroar2005 recorded pair observations · 0.62 pair observations per 100 analyzed battles
52.7%

Lower Win-rate Partners

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

Sceptile
Sceptile1073 recorded pair observations · 0.33 pair observations per 100 analyzed battles
44.0%
Typhlosion-Hisui
Typhlosion-Hisui811 recorded pair observations · 0.25 pair observations per 100 analyzed battles
44.0%
Pawmot
Pawmot1370 recorded pair observations · 0.43 pair observations per 100 analyzed battles
46.9%
Gengar
Gengar1527 recorded pair observations · 0.47 pair observations per 100 analyzed battles
47.7%
Annihilape
Annihilape896 recorded pair observations · 0.28 pair observations per 100 analyzed battles
48.5%
Maushold
Maushold764 recorded pair observations · 0.24 pair observations per 100 analyzed battles
48.6%
Lucario
Lucario2992 recorded pair observations · 0.93 pair observations per 100 analyzed battles
48.7%
Sinistcha
Sinistcha3028 recorded pair observations · 0.94 pair observations per 100 analyzed battles
48.8%
Torkoal
Torkoal1840 recorded pair observations · 0.57 pair observations per 100 analyzed battles
48.9%
Sableye
Sableye1870 recorded pair observations · 0.58 pair observations per 100 analyzed battles
49.4%

Higher Win-rate Opponent Teams

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

Meowscarada
Meowscarada785 recorded pair observations · 0.24 pair observations per 100 analyzed battles
58.1%
Maushold
Maushold1500 recorded pair observations · 0.47 pair observations per 100 analyzed battles
57.9%
Clefable
Clefable1022 recorded pair observations · 0.32 pair observations per 100 analyzed battles
57.8%
Rotom-Wash
Rotom-Wash1298 recorded pair observations · 0.40 pair observations per 100 analyzed battles
57.7%
Gallade
Gallade1044 recorded pair observations · 0.32 pair observations per 100 analyzed battles
56.3%
Grapploct
Grapploct925 recorded pair observations · 0.29 pair observations per 100 analyzed battles
55.6%
Dragapult
Dragapult2011 recorded pair observations · 0.62 pair observations per 100 analyzed battles
55.5%
Sinistcha
Sinistcha6732 recorded pair observations · 2.09 pair observations per 100 analyzed battles
55.5%
Vivillon
Vivillon958 recorded pair observations · 0.30 pair observations per 100 analyzed battles
55.3%
Ninetales-Alola
Ninetales-Alola2355 recorded pair observations · 0.73 pair observations per 100 analyzed battles
55.2%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F3729 recorded pair observations · 1.16 pair observations per 100 analyzed battles
46.2%
Armarouge
Armarouge3397 recorded pair observations · 1.06 pair observations per 100 analyzed battles
48.2%
Kingambit
Kingambit13361 recorded pair observations · 4.15 pair observations per 100 analyzed battles
48.5%
Venusaur
Venusaur6035 recorded pair observations · 1.87 pair observations per 100 analyzed battles
48.6%
Sylveon
Sylveon6788 recorded pair observations · 2.11 pair observations per 100 analyzed battles
48.9%
Mawile
Mawile1398 recorded pair observations · 0.43 pair observations per 100 analyzed battles
49.3%
Salamence
Salamence8338 recorded pair observations · 2.59 pair observations per 100 analyzed battles
49.3%
Torkoal
Torkoal4060 recorded pair observations · 1.26 pair observations per 100 analyzed battles
49.3%
Sneasler
Sneasler23474 recorded pair observations · 7.29 pair observations per 100 analyzed battles
49.5%
Archaludon
Archaludon15080 recorded pair observations · 4.68 pair observations per 100 analyzed battles
49.7%