Last Updated: 10/26/2026 11:03 [UTC]

Basculegion

Tier B

BSS Regulation M-C (Pokemon Champions)

13.88%Usage Rate
53.72%Win Rate
7.12%Lead Rate
43.02%Selection Rate
1228Avg Rating

6964 recorded team appearances · 3741 wins · 3223 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 1646 of 6964 distinct recorded team appearances (23.6%) 831 winning team uses of 1646 recorded team uses
50.5%
Wave Crash Recorded use in 644 of 6964 distinct recorded team appearances (9.2%) 322 winning team uses of 644 recorded team uses
50.0%
Aqua Jet Recorded use in 519 of 6964 distinct recorded team appearances (7.5%) 269 winning team uses of 519 recorded team uses
51.8%
Flip Turn Recorded use in 467 of 6964 distinct recorded team appearances (6.7%) 255 winning team uses of 467 recorded team uses
54.6%
Substitute Recorded use in 72 of 6964 distinct recorded team appearances (1.0%) 32 winning team uses of 72 recorded team uses
44.4%
Agility Recorded use in 57 of 6964 distinct recorded team appearances (0.8%) 26 winning team uses of 57 recorded team uses
45.6%
Protect Recorded use in 56 of 6964 distinct recorded team appearances (0.8%) 16 winning team uses of 56 recorded team uses
28.6%
Ice Fang Recorded use in 25 of 6964 distinct recorded team appearances (0.4%) 10 winning team uses of 25 recorded team uses
40.0%
Struggle Recorded use in 12 of 6964 distinct recorded team appearances (0.2%) 0 winning team uses of 12 recorded team uses
0.0%

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 11:01–2026/10/15 12:54 UTC 13.89 54.76 12542 1742 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 14.68 52.63 12542 1841 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 12.17 54.13 12542 1526 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 14.79 53.48 12540 1855 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 10.35 55.72 9968 1032 Observed
~R1142 11.82 54.55 9958 1177 Observed
~R1208 12.53 55.53 10104 1266 Observed
~R1298 14.80 53.21 10004 1481 Observed
R1298~ 19.82 51.44 10132 2008 Observed

Basculegion Observed Statistics

Performance Metrics

Basculegion has a reported usage rate of 13.88% and win rate of 53.72% in BSS Regulation M-C (Pokemon Champions) (displayed tier: B). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 3,741 wins and 3,223 losses (6,964 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 13.89% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 14.79% 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 +0.90 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 54.76% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=1,742 recorded appearances) and 53.48% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=1,855 recorded appearances), a change of -1.28 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 10.35% (~R1089; n=9,968 team slots) to 19.82% (R1298~; n=10,132 team slots), a spread of 9.47 percentage points. Overall usage was 13.88%. 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 (1,646; 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: Archaludon: 56.1% wins in 2,475 recorded pair observations; Garchomp: 52.7% wins in 2,023 recorded pair observations; Dragonite: 56.9% wins in 1,643 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: Incineroar: 70.8% wins in 120 recorded pair observations; Heracross: 63.8% wins in 69 recorded pair observations; Araquanid: 63.7% wins in 146 recorded pair observations. Returned lower-win-rate opponent group: Mamoswine: 40.8% wins in 103 recorded pair observations; Polteageist: 41.7% wins in 72 recorded pair observations; Vanilluxe: 44.0% wins in 91 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%

Archaludon
Archaludon2475 recorded pair observations · 9.87 pair observations per 100 analyzed battles
56.1%
Garchomp
Garchomp2023 recorded pair observations · 8.07 pair observations per 100 analyzed battles
52.7%
Dragonite
Dragonite1643 recorded pair observations · 6.55 pair observations per 100 analyzed battles
56.9%
Mimikyu
Mimikyu1502 recorded pair observations · 5.99 pair observations per 100 analyzed battles
56.0%
Hippowdon
Hippowdon1497 recorded pair observations · 5.97 pair observations per 100 analyzed battles
55.4%
Golisopod
Golisopod1350 recorded pair observations · 5.38 pair observations per 100 analyzed battles
55.6%
Lucario
Lucario1261 recorded pair observations · 5.03 pair observations per 100 analyzed battles
56.0%
Floette-Eternal
Floette-Eternal1056 recorded pair observations · 4.21 pair observations per 100 analyzed battles
57.2%
Pawmot
Pawmot1040 recorded pair observations · 4.15 pair observations per 100 analyzed battles
56.0%
Kingambit
Kingambit974 recorded pair observations · 3.88 pair observations per 100 analyzed battles
55.0%
Pelipper
Pelipper929 recorded pair observations · 3.70 pair observations per 100 analyzed battles
52.3%
Primarina
Primarina914 recorded pair observations · 3.64 pair observations per 100 analyzed battles
55.6%
Charizard
Charizard893 recorded pair observations · 3.56 pair observations per 100 analyzed battles
51.7%
Banette
Banette869 recorded pair observations · 3.46 pair observations per 100 analyzed battles
57.4%
Metagross
Metagross867 recorded pair observations · 3.46 pair observations per 100 analyzed battles
54.1%
Rillaboom
Rillaboom767 recorded pair observations · 3.06 pair observations per 100 analyzed battles
53.5%
Indeedee
Indeedee696 recorded pair observations · 2.77 pair observations per 100 analyzed battles
57.2%
Aegislash
Aegislash654 recorded pair observations · 2.61 pair observations per 100 analyzed battles
55.8%
Baxcalibur
Baxcalibur637 recorded pair observations · 2.54 pair observations per 100 analyzed battles
56.5%
Corviknight
Corviknight613 recorded pair observations · 2.44 pair observations per 100 analyzed battles
55.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp2405 recorded pair observations · 9.59 pair observations per 100 analyzed battles
53.3%
Primarina
Primarina1760 recorded pair observations · 7.02 pair observations per 100 analyzed battles
52.7%
Archaludon
Archaludon1427 recorded pair observations · 5.69 pair observations per 100 analyzed battles
52.3%
Hippowdon
Hippowdon1419 recorded pair observations · 5.66 pair observations per 100 analyzed battles
52.5%
Mimikyu
Mimikyu1367 recorded pair observations · 5.45 pair observations per 100 analyzed battles
52.7%
Gholdengo
Gholdengo1314 recorded pair observations · 5.24 pair observations per 100 analyzed battles
54.3%
Salamence
Salamence1176 recorded pair observations · 4.69 pair observations per 100 analyzed battles
52.2%
Corviknight
Corviknight1146 recorded pair observations · 4.57 pair observations per 100 analyzed battles
52.2%
Golisopod
Golisopod1042 recorded pair observations · 4.15 pair observations per 100 analyzed battles
50.3%
Basculegion
Basculegion1012 recorded pair observations · 4.03 pair observations per 100 analyzed battles
50.0%
Charizard
Charizard893 recorded pair observations · 3.56 pair observations per 100 analyzed battles
52.7%
Metagross
Metagross826 recorded pair observations · 3.29 pair observations per 100 analyzed battles
51.7%
Baxcalibur
Baxcalibur809 recorded pair observations · 3.23 pair observations per 100 analyzed battles
50.9%
Lucario
Lucario799 recorded pair observations · 3.19 pair observations per 100 analyzed battles
48.6%
Kingambit
Kingambit767 recorded pair observations · 3.06 pair observations per 100 analyzed battles
49.5%
Dragonite
Dragonite734 recorded pair observations · 2.93 pair observations per 100 analyzed battles
54.8%
Meowscarada
Meowscarada622 recorded pair observations · 2.48 pair observations per 100 analyzed battles
53.2%
Floette-Eternal
Floette-Eternal615 recorded pair observations · 2.45 pair observations per 100 analyzed battles
53.3%
Scizor
Scizor585 recorded pair observations · 2.33 pair observations per 100 analyzed battles
61.9%
Clefable
Clefable579 recorded pair observations · 2.31 pair observations per 100 analyzed battles
53.9%

Higher Win-rate Partners

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

Dragapult
Dragapult145 recorded pair observations · 0.58 pair observations per 100 analyzed battles
62.8%
Victreebel
Victreebel268 recorded pair observations · 1.07 pair observations per 100 analyzed battles
59.3%
Gholdengo
Gholdengo376 recorded pair observations · 1.50 pair observations per 100 analyzed battles
59.0%
Greninja
Greninja183 recorded pair observations · 0.73 pair observations per 100 analyzed battles
59.0%
Empoleon
Empoleon97 recorded pair observations · 0.39 pair observations per 100 analyzed battles
58.8%
Excadrill
Excadrill113 recorded pair observations · 0.45 pair observations per 100 analyzed battles
57.5%
Snorlax
Snorlax106 recorded pair observations · 0.42 pair observations per 100 analyzed battles
57.5%
Banette
Banette869 recorded pair observations · 3.46 pair observations per 100 analyzed battles
57.4%
Floette-Eternal
Floette-Eternal1056 recorded pair observations · 4.21 pair observations per 100 analyzed battles
57.2%
Indeedee
Indeedee696 recorded pair observations · 2.77 pair observations per 100 analyzed battles
57.2%

Lower Win-rate Partners

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

Grimmsnarl
Grimmsnarl78 recorded pair observations · 0.31 pair observations per 100 analyzed battles
38.5%
Glalie
Glalie88 recorded pair observations · 0.35 pair observations per 100 analyzed battles
38.6%
Starmie
Starmie101 recorded pair observations · 0.40 pair observations per 100 analyzed battles
39.6%
Sneasler
Sneasler334 recorded pair observations · 1.33 pair observations per 100 analyzed battles
44.0%
Gengar
Gengar243 recorded pair observations · 0.97 pair observations per 100 analyzed battles
45.3%
Glimmora
Glimmora200 recorded pair observations · 0.80 pair observations per 100 analyzed battles
45.5%
Meganium
Meganium92 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.6%
Ceruledge
Ceruledge72 recorded pair observations · 0.29 pair observations per 100 analyzed battles
45.8%
Rotom-Wash
Rotom-Wash118 recorded pair observations · 0.47 pair observations per 100 analyzed battles
46.6%
Blastoise
Blastoise137 recorded pair observations · 0.55 pair observations per 100 analyzed battles
46.7%

Higher Win-rate Opponent Teams

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

Incineroar
Incineroar120 recorded pair observations · 0.48 pair observations per 100 analyzed battles
70.8%
Heracross
Heracross69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
63.8%
Araquanid
Araquanid146 recorded pair observations · 0.58 pair observations per 100 analyzed battles
63.7%
Tyranitar
Tyranitar225 recorded pair observations · 0.90 pair observations per 100 analyzed battles
63.1%
Annihilape
Annihilape70 recorded pair observations · 0.28 pair observations per 100 analyzed battles
62.9%
Espathra
Espathra175 recorded pair observations · 0.70 pair observations per 100 analyzed battles
62.9%
Excadrill
Excadrill191 recorded pair observations · 0.76 pair observations per 100 analyzed battles
62.8%
Gliscor
Gliscor229 recorded pair observations · 0.91 pair observations per 100 analyzed battles
62.5%
Volcarona
Volcarona338 recorded pair observations · 1.35 pair observations per 100 analyzed battles
62.4%
Kangaskhan
Kangaskhan74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
62.2%

Lower Win-rate Opponent Teams

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

Mamoswine
Mamoswine103 recorded pair observations · 0.41 pair observations per 100 analyzed battles
40.8%
Polteageist
Polteageist72 recorded pair observations · 0.29 pair observations per 100 analyzed battles
41.7%
Vanilluxe
Vanilluxe91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
44.0%
Bellibolt
Bellibolt127 recorded pair observations · 0.51 pair observations per 100 analyzed battles
44.1%
Indeedee
Indeedee508 recorded pair observations · 2.03 pair observations per 100 analyzed battles
44.3%
Gallade
Gallade114 recorded pair observations · 0.45 pair observations per 100 analyzed battles
46.5%
Froslass
Froslass81 recorded pair observations · 0.32 pair observations per 100 analyzed battles
46.9%
Pelipper
Pelipper343 recorded pair observations · 1.37 pair observations per 100 analyzed battles
46.9%
Zoroark-Hisui
Zoroark-Hisui119 recorded pair observations · 0.47 pair observations per 100 analyzed battles
47.1%
Empoleon
Empoleon150 recorded pair observations · 0.60 pair observations per 100 analyzed battles
47.3%