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

Baxcalibur

Tier B

BSS Regulation M-C (Pokemon Champions)

11.20%Usage Rate
52.52%Win Rate
12.25%Lead Rate
35.80%Selection Rate
1217Avg Rating

5617 recorded team appearances · 2950 wins · 2667 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Ice Shard Recorded use in 787 of 5617 distinct recorded team appearances (14.0%) 462 winning team uses of 787 recorded team uses
58.7%
Earthquake Recorded use in 713 of 5617 distinct recorded team appearances (12.7%) 420 winning team uses of 713 recorded team uses
58.9%
Glaive Rush Recorded use in 676 of 5617 distinct recorded team appearances (12.0%) 396 winning team uses of 676 recorded team uses
58.6%
Icicle Crash Recorded use in 476 of 5617 distinct recorded team appearances (8.5%) 218 winning team uses of 476 recorded team uses
45.8%
Dragon Dance Recorded use in 375 of 5617 distinct recorded team appearances (6.7%) 186 winning team uses of 375 recorded team uses
49.6%
Swords Dance Recorded use in 130 of 5617 distinct recorded team appearances (2.3%) 73 winning team uses of 130 recorded team uses
56.2%
Icicle Spear Recorded use in 120 of 5617 distinct recorded team appearances (2.1%) 67 winning team uses of 120 recorded team uses
55.8%
Crunch Recorded use in 34 of 5617 distinct recorded team appearances (0.6%) 14 winning team uses of 34 recorded team uses
41.2%
Thunder Fang Recorded use in 34 of 5617 distinct recorded team appearances (0.6%) 22 winning team uses of 34 recorded team uses
64.7%
Scale Shot Recorded use in 31 of 5617 distinct recorded team appearances (0.6%) 19 winning team uses of 31 recorded team uses
61.3%

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 14.65 52.42 12542 1837 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 10.72 52.98 12542 1344 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 9.84 52.59 12542 1234 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 9.59 52.08 12540 1202 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 8.72 52.36 9968 869 Observed
~R1142 9.69 56.27 9958 965 Observed
~R1208 11.31 53.02 10104 1143 Observed
~R1298 12.35 48.42 10004 1235 Observed
R1298~ 13.87 53.24 10132 1405 Observed

Baxcalibur Observed Statistics

Performance Metrics

Baxcalibur has a reported usage rate of 11.20% and win rate of 52.52% 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. 2,950 wins and 2,667 losses (5,617 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 14.65% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 9.59% 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 -5.06 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 52.42% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=1,837 recorded appearances) and 52.08% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=1,202 recorded appearances), a change of -0.34 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 8.72% (~R1089; n=9,968 team slots) to 13.87% (R1298~; n=10,132 team slots), a spread of 5.15 percentage points. Overall usage was 11.20%. 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, Ice Shard has the largest recorded team-use count (787; 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: 53.6% wins in 2,539 recorded pair observations; Charizard: 53.7% wins in 1,629 recorded pair observations; Corviknight: 52.5% wins in 1,588 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: Whimsicott: 72.1% wins in 68 recorded pair observations; Kangaskhan: 70.8% wins in 65 recorded pair observations; Barbaracle: 67.9% wins in 218 recorded pair observations. Returned lower-win-rate opponent group: Vanilluxe: 42.4% wins in 59 recorded pair observations; Skarmory: 44.9% wins in 136 recorded pair observations; Gliscor: 45.8% wins in 275 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
Garchomp2539 recorded pair observations · 10.12 pair observations per 100 analyzed battles
53.6%
Charizard
Charizard1629 recorded pair observations · 6.49 pair observations per 100 analyzed battles
53.7%
Corviknight
Corviknight1588 recorded pair observations · 6.33 pair observations per 100 analyzed battles
52.5%
Mimikyu
Mimikyu1402 recorded pair observations · 5.59 pair observations per 100 analyzed battles
53.3%
Gholdengo
Gholdengo1234 recorded pair observations · 4.92 pair observations per 100 analyzed battles
53.4%
Primarina
Primarina1222 recorded pair observations · 4.87 pair observations per 100 analyzed battles
53.2%
Metagross
Metagross1162 recorded pair observations · 4.63 pair observations per 100 analyzed battles
53.4%
Ninetales-Alola
Ninetales-Alola1103 recorded pair observations · 4.40 pair observations per 100 analyzed battles
56.7%
Salamence
Salamence986 recorded pair observations · 3.93 pair observations per 100 analyzed battles
50.7%
Golisopod
Golisopod759 recorded pair observations · 3.03 pair observations per 100 analyzed battles
55.3%
Archaludon
Archaludon750 recorded pair observations · 2.99 pair observations per 100 analyzed battles
54.3%
Kingambit
Kingambit676 recorded pair observations · 2.70 pair observations per 100 analyzed battles
55.6%
Lucario
Lucario649 recorded pair observations · 2.59 pair observations per 100 analyzed battles
55.5%
Basculegion
Basculegion637 recorded pair observations · 2.54 pair observations per 100 analyzed battles
56.5%
Hippowdon
Hippowdon507 recorded pair observations · 2.02 pair observations per 100 analyzed battles
49.5%
Rillaboom
Rillaboom493 recorded pair observations · 1.97 pair observations per 100 analyzed battles
50.3%
Dragonite
Dragonite488 recorded pair observations · 1.95 pair observations per 100 analyzed battles
57.4%
Aegislash
Aegislash463 recorded pair observations · 1.85 pair observations per 100 analyzed battles
50.3%
Samurott-Hisui
Samurott-Hisui453 recorded pair observations · 1.81 pair observations per 100 analyzed battles
60.3%
Floette-Eternal
Floette-Eternal419 recorded pair observations · 1.67 pair observations per 100 analyzed battles
56.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1866 recorded pair observations · 7.44 pair observations per 100 analyzed battles
52.0%
Primarina
Primarina1326 recorded pair observations · 5.29 pair observations per 100 analyzed battles
48.7%
Archaludon
Archaludon1168 recorded pair observations · 4.66 pair observations per 100 analyzed battles
49.0%
Mimikyu
Mimikyu1105 recorded pair observations · 4.41 pair observations per 100 analyzed battles
46.2%
Gholdengo
Gholdengo1044 recorded pair observations · 4.16 pair observations per 100 analyzed battles
46.9%
Hippowdon
Hippowdon1027 recorded pair observations · 4.09 pair observations per 100 analyzed battles
54.4%
Salamence
Salamence899 recorded pair observations · 3.58 pair observations per 100 analyzed battles
50.6%
Golisopod
Golisopod857 recorded pair observations · 3.42 pair observations per 100 analyzed battles
50.2%
Corviknight
Corviknight832 recorded pair observations · 3.32 pair observations per 100 analyzed battles
51.2%
Basculegion
Basculegion809 recorded pair observations · 3.23 pair observations per 100 analyzed battles
49.1%
Lucario
Lucario681 recorded pair observations · 2.71 pair observations per 100 analyzed battles
49.8%
Charizard
Charizard675 recorded pair observations · 2.69 pair observations per 100 analyzed battles
53.5%
Kingambit
Kingambit610 recorded pair observations · 2.43 pair observations per 100 analyzed battles
57.7%
Baxcalibur
Baxcalibur600 recorded pair observations · 2.39 pair observations per 100 analyzed battles
50.0%
Dragonite
Dragonite576 recorded pair observations · 2.30 pair observations per 100 analyzed battles
47.9%
Metagross
Metagross564 recorded pair observations · 2.25 pair observations per 100 analyzed battles
47.5%
Meowscarada
Meowscarada524 recorded pair observations · 2.09 pair observations per 100 analyzed battles
50.2%
Clefable
Clefable503 recorded pair observations · 2.01 pair observations per 100 analyzed battles
56.9%
Toxapex
Toxapex492 recorded pair observations · 1.96 pair observations per 100 analyzed battles
47.8%
Starmie
Starmie461 recorded pair observations · 1.84 pair observations per 100 analyzed battles
49.9%

Higher Win-rate Partners

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

Skeledirge
Skeledirge58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
62.1%
Samurott-Hisui
Samurott-Hisui453 recorded pair observations · 1.81 pair observations per 100 analyzed battles
60.3%
Tinkaton
Tinkaton78 recorded pair observations · 0.31 pair observations per 100 analyzed battles
60.3%
Ampharos
Ampharos95 recorded pair observations · 0.38 pair observations per 100 analyzed battles
59.0%
Indeedee
Indeedee301 recorded pair observations · 1.20 pair observations per 100 analyzed battles
58.5%
Blastoise
Blastoise242 recorded pair observations · 0.96 pair observations per 100 analyzed battles
58.3%
Dragonite
Dragonite488 recorded pair observations · 1.95 pair observations per 100 analyzed battles
57.4%
Ninetales-Alola
Ninetales-Alola1103 recorded pair observations · 4.40 pair observations per 100 analyzed battles
56.7%
Vanilluxe
Vanilluxe67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
56.7%
Floette-Eternal
Floette-Eternal419 recorded pair observations · 1.67 pair observations per 100 analyzed battles
56.6%

Lower Win-rate Partners

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

Excadrill
Excadrill63 recorded pair observations · 0.25 pair observations per 100 analyzed battles
36.5%
Audino
Audino86 recorded pair observations · 0.34 pair observations per 100 analyzed battles
41.9%
Annihilape
Annihilape76 recorded pair observations · 0.30 pair observations per 100 analyzed battles
42.1%
Toxapex
Toxapex64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
42.2%
Grimmsnarl
Grimmsnarl77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
42.9%
Meganium
Meganium63 recorded pair observations · 0.25 pair observations per 100 analyzed battles
42.9%
Hydreigon
Hydreigon114 recorded pair observations · 0.45 pair observations per 100 analyzed battles
43.9%
Pawmot
Pawmot100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
44.0%
Hatterene
Hatterene74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
44.6%
Espathra
Espathra134 recorded pair observations · 0.53 pair observations per 100 analyzed battles
44.8%

Higher Win-rate Opponent Teams

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

Whimsicott
Whimsicott68 recorded pair observations · 0.27 pair observations per 100 analyzed battles
72.1%
Kangaskhan
Kangaskhan65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
70.8%
Barbaracle
Barbaracle218 recorded pair observations · 0.87 pair observations per 100 analyzed battles
67.9%
Froslass
Froslass77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
63.6%
Incineroar
Incineroar109 recorded pair observations · 0.43 pair observations per 100 analyzed battles
63.3%
Eelektross
Eelektross73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
63.0%
Gardevoir
Gardevoir74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
62.2%
Indeedee-F
Indeedee-F66 recorded pair observations · 0.26 pair observations per 100 analyzed battles
62.1%
Sylveon
Sylveon139 recorded pair observations · 0.55 pair observations per 100 analyzed battles
61.9%
Scizor
Scizor456 recorded pair observations · 1.82 pair observations per 100 analyzed battles
61.6%

Lower Win-rate Opponent Teams

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

Vanilluxe
Vanilluxe59 recorded pair observations · 0.24 pair observations per 100 analyzed battles
42.4%
Skarmory
Skarmory136 recorded pair observations · 0.54 pair observations per 100 analyzed battles
44.9%
Gliscor
Gliscor275 recorded pair observations · 1.10 pair observations per 100 analyzed battles
45.8%
Tinkaton
Tinkaton89 recorded pair observations · 0.35 pair observations per 100 analyzed battles
46.1%
Mimikyu
Mimikyu1105 recorded pair observations · 4.41 pair observations per 100 analyzed battles
46.2%
Absol
Absol153 recorded pair observations · 0.61 pair observations per 100 analyzed battles
46.4%
Delphox
Delphox422 recorded pair observations · 1.68 pair observations per 100 analyzed battles
46.7%
Gholdengo
Gholdengo1044 recorded pair observations · 4.16 pair observations per 100 analyzed battles
46.9%
Samurott-Hisui
Samurott-Hisui252 recorded pair observations · 1.00 pair observations per 100 analyzed battles
47.2%
Indeedee
Indeedee417 recorded pair observations · 1.66 pair observations per 100 analyzed battles
47.5%