Last Updated: 10/26/2026 11:12 [UTC]

Baxcalibur

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

2.29%Usage Rate
47.01%Win Rate
24.33%Lead Rate
52.57%Selection Rate
1220Avg Rating

14766 recorded team appearances · 6941 wins · 7825 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Glaive Rush Recorded use in 3537 of 14767 distinct recorded team appearances (24.0%) 1823 winning team uses of 3537 recorded team uses
51.5%
Protect Recorded use in 3220 of 14767 distinct recorded team appearances (21.8%) 1446 winning team uses of 3220 recorded team uses
44.9%
Ice Shard Recorded use in 2628 of 14767 distinct recorded team appearances (17.8%) 1391 winning team uses of 2628 recorded team uses
52.9%
Icicle Crash Recorded use in 1292 of 14767 distinct recorded team appearances (8.7%) 632 winning team uses of 1292 recorded team uses
48.9%
High Horsepower Recorded use in 964 of 14767 distinct recorded team appearances (6.5%) 472 winning team uses of 964 recorded team uses
49.0%
Dragon Dance Recorded use in 958 of 14767 distinct recorded team appearances (6.5%) 426 winning team uses of 958 recorded team uses
44.5%
Swords Dance Recorded use in 777 of 14767 distinct recorded team appearances (5.3%) 382 winning team uses of 777 recorded team uses
49.2%
Icicle Spear Recorded use in 219 of 14767 distinct recorded team appearances (1.5%) 109 winning team uses of 219 recorded team uses
49.8%
Earthquake Recorded use in 168 of 14767 distinct recorded team appearances (1.1%) 74 winning team uses of 168 recorded team uses
44.0%
Dragon Claw Recorded use in 125 of 14767 distinct recorded team appearances (0.8%) 57 winning team uses of 125 recorded team uses
45.6%

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 2.34 46.41 160968 3762 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 2.26 47.39 160966 3634 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 1.99 47.30 160966 3205 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 2.59 46.99 160966 4165 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 3.40 47.59 128104 4354 Observed
~R1208 2.79 46.56 129182 3602 Observed
~R1302 2.31 46.32 126962 2936 Observed
~R1405 1.76 47.07 130626 2301 Observed
R1405~ 1.22 47.62 128992 1573 Observed

Baxcalibur Observed Statistics

Performance Metrics

Baxcalibur has a reported usage rate of 2.29% and win rate of 47.01% 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. 6,941 wins and 7,825 losses (14,766 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 2.34% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 2.59% 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 +0.25 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 46.41% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=3,762 recorded appearances) and 46.99% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=4,165 recorded appearances), a change of +0.58 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 1.22% (R1405~; n=128,992 team slots) to 3.40% (~R1129; n=128,104 team slots), a spread of 2.18 percentage points. Overall usage was 2.29%. 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, Glaive Rush has the largest recorded team-use count (3,537; 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: Rillaboom: 48.8% wins in 5,526 recorded pair observations; Sneasler: 48.4% wins in 5,019 recorded pair observations; Ninetales-Alola: 46.2% wins in 4,325 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: Maushold: 56.6% wins in 339 recorded pair observations; Rotom-Wash: 54.0% wins in 324 recorded pair observations; Whimsicott: 51.9% wins in 1,782 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 40.7% wins in 570 recorded pair observations; Archaludon: 42.5% wins in 2,729 recorded pair observations; Golisopod: 42.6% wins in 2,045 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%

Rillaboom
Rillaboom5526 recorded pair observations · 1.72 pair observations per 100 analyzed battles
48.8%
Sneasler
Sneasler5019 recorded pair observations · 1.56 pair observations per 100 analyzed battles
48.4%
Ninetales-Alola
Ninetales-Alola4325 recorded pair observations · 1.34 pair observations per 100 analyzed battles
46.2%
Incineroar
Incineroar3566 recorded pair observations · 1.11 pair observations per 100 analyzed battles
48.0%
Kingambit
Kingambit2496 recorded pair observations · 0.78 pair observations per 100 analyzed battles
52.2%
Gholdengo
Gholdengo2459 recorded pair observations · 0.76 pair observations per 100 analyzed battles
47.5%
Raichu
Raichu2419 recorded pair observations · 0.75 pair observations per 100 analyzed battles
50.8%
Indeedee-F
Indeedee-F2247 recorded pair observations · 0.70 pair observations per 100 analyzed battles
44.2%
Volcarona
Volcarona2118 recorded pair observations · 0.66 pair observations per 100 analyzed battles
49.8%
Milotic
Milotic1840 recorded pair observations · 0.57 pair observations per 100 analyzed battles
47.5%
Whimsicott
Whimsicott1674 recorded pair observations · 0.52 pair observations per 100 analyzed battles
46.6%
Basculegion
Basculegion1456 recorded pair observations · 0.45 pair observations per 100 analyzed battles
49.9%
Froslass
Froslass1418 recorded pair observations · 0.44 pair observations per 100 analyzed battles
50.5%
Sinistcha
Sinistcha1365 recorded pair observations · 0.42 pair observations per 100 analyzed battles
41.3%
Farigiraf
Farigiraf1245 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.0%
Garchomp
Garchomp1148 recorded pair observations · 0.36 pair observations per 100 analyzed battles
51.6%
Pelipper
Pelipper1053 recorded pair observations · 0.33 pair observations per 100 analyzed battles
48.5%
Annihilape
Annihilape919 recorded pair observations · 0.29 pair observations per 100 analyzed battles
50.3%
Ceruledge
Ceruledge877 recorded pair observations · 0.27 pair observations per 100 analyzed battles
45.6%
Typhlosion-Hisui
Typhlosion-Hisui781 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom4451 recorded pair observations · 1.38 pair observations per 100 analyzed battles
46.1%
Sneasler
Sneasler4296 recorded pair observations · 1.33 pair observations per 100 analyzed battles
46.2%
Incineroar
Incineroar3824 recorded pair observations · 1.19 pair observations per 100 analyzed battles
46.4%
Garchomp
Garchomp3608 recorded pair observations · 1.12 pair observations per 100 analyzed battles
46.8%
Raichu
Raichu2761 recorded pair observations · 0.86 pair observations per 100 analyzed battles
45.1%
Indeedee-F
Indeedee-F2751 recorded pair observations · 0.85 pair observations per 100 analyzed battles
47.2%
Archaludon
Archaludon2729 recorded pair observations · 0.85 pair observations per 100 analyzed battles
42.5%
Pelipper
Pelipper2465 recorded pair observations · 0.77 pair observations per 100 analyzed battles
44.0%
Farigiraf
Farigiraf2388 recorded pair observations · 0.74 pair observations per 100 analyzed battles
45.4%
Kingambit
Kingambit2355 recorded pair observations · 0.73 pair observations per 100 analyzed battles
45.4%
Charizard
Charizard2332 recorded pair observations · 0.72 pair observations per 100 analyzed battles
45.7%
Golisopod
Golisopod2045 recorded pair observations · 0.64 pair observations per 100 analyzed battles
42.6%
Gholdengo
Gholdengo1909 recorded pair observations · 0.59 pair observations per 100 analyzed battles
45.1%
Whimsicott
Whimsicott1782 recorded pair observations · 0.55 pair observations per 100 analyzed battles
51.9%
Salamence
Salamence1570 recorded pair observations · 0.49 pair observations per 100 analyzed battles
45.7%
Basculegion
Basculegion1531 recorded pair observations · 0.48 pair observations per 100 analyzed battles
45.3%
Sinistcha
Sinistcha1491 recorded pair observations · 0.46 pair observations per 100 analyzed battles
48.2%
Tyranitar
Tyranitar1429 recorded pair observations · 0.44 pair observations per 100 analyzed battles
44.8%
Milotic
Milotic1321 recorded pair observations · 0.41 pair observations per 100 analyzed battles
47.1%
Volcarona
Volcarona1298 recorded pair observations · 0.40 pair observations per 100 analyzed battles
47.1%

Higher Win-rate Partners

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

Dragonite
Dragonite470 recorded pair observations · 0.15 pair observations per 100 analyzed battles
53.4%
Staraptor
Staraptor407 recorded pair observations · 0.13 pair observations per 100 analyzed battles
53.1%
Hydreigon
Hydreigon351 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.4%
Kingambit
Kingambit2496 recorded pair observations · 0.78 pair observations per 100 analyzed battles
52.2%
Archaludon
Archaludon646 recorded pair observations · 0.20 pair observations per 100 analyzed battles
51.9%
Sylveon
Sylveon307 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.8%
Garchomp
Garchomp1148 recorded pair observations · 0.36 pair observations per 100 analyzed battles
51.6%
Raichu
Raichu2419 recorded pair observations · 0.75 pair observations per 100 analyzed battles
50.8%
Froslass
Froslass1418 recorded pair observations · 0.44 pair observations per 100 analyzed battles
50.5%
Arcanine-Hisui
Arcanine-Hisui571 recorded pair observations · 0.18 pair observations per 100 analyzed battles
50.4%

Lower Win-rate Partners

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

Metagross
Metagross398 recorded pair observations · 0.12 pair observations per 100 analyzed battles
40.7%
Sinistcha
Sinistcha1365 recorded pair observations · 0.42 pair observations per 100 analyzed battles
41.3%
Alakazam
Alakazam319 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.6%
Talonflame
Talonflame654 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.3%
Lucario
Lucario735 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.8%
Excadrill
Excadrill354 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.1%
Indeedee
Indeedee396 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.2%
Indeedee-F
Indeedee-F2247 recorded pair observations · 0.70 pair observations per 100 analyzed battles
44.2%
Aerodactyl
Aerodactyl519 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.3%
Gengar
Gengar331 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.7%

Higher Win-rate Opponent Teams

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

Maushold
Maushold339 recorded pair observations · 0.11 pair observations per 100 analyzed battles
56.6%
Rotom-Wash
Rotom-Wash324 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.0%
Whimsicott
Whimsicott1782 recorded pair observations · 0.55 pair observations per 100 analyzed battles
51.9%
Delphox
Delphox454 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.7%
Sableye
Sableye457 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.5%
Sceptile
Sceptile346 recorded pair observations · 0.11 pair observations per 100 analyzed battles
50.3%
Baxcalibur
Baxcalibur428 recorded pair observations · 0.13 pair observations per 100 analyzed battles
50.0%
Espathra
Espathra319 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.5%
Ninetales-Alola
Ninetales-Alola518 recorded pair observations · 0.16 pair observations per 100 analyzed battles
49.4%
Rotom-Heat
Rotom-Heat328 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.4%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F570 recorded pair observations · 0.18 pair observations per 100 analyzed battles
40.7%
Archaludon
Archaludon2729 recorded pair observations · 0.85 pair observations per 100 analyzed battles
42.5%
Golisopod
Golisopod2045 recorded pair observations · 0.64 pair observations per 100 analyzed battles
42.6%
Armarouge
Armarouge655 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.0%
Glimmora
Glimmora597 recorded pair observations · 0.19 pair observations per 100 analyzed battles
43.0%
Indeedee
Indeedee914 recorded pair observations · 0.28 pair observations per 100 analyzed battles
43.2%
Excadrill
Excadrill1004 recorded pair observations · 0.31 pair observations per 100 analyzed battles
43.4%
Venusaur
Venusaur1075 recorded pair observations · 0.33 pair observations per 100 analyzed battles
43.4%
Blaziken
Blaziken415 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.6%
Pelipper
Pelipper2465 recorded pair observations · 0.77 pair observations per 100 analyzed battles
44.0%