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

Archaludon

Tier B

VGC 2026 Regulation M-C (Pokemon Champions)

19.38%Usage Rate
52.65%Win Rate
23.39%Lead Rate
68.74%Selection Rate
1309Avg Rating

124793 recorded team appearances · 65704 wins · 59089 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Electro Shot Recorded use in 50775 of 124807 distinct recorded team appearances (40.7%) 29626 winning team uses of 50775 recorded team uses
58.3%
Protect Recorded use in 37115 of 124807 distinct recorded team appearances (29.7%) 18551 winning team uses of 37115 recorded team uses
50.0%
Dragon Pulse Recorded use in 32856 of 124807 distinct recorded team appearances (26.3%) 19326 winning team uses of 32856 recorded team uses
58.8%
Snarl Recorded use in 14141 of 124807 distinct recorded team appearances (11.3%) 7654 winning team uses of 14141 recorded team uses
54.1%
Flash Cannon Recorded use in 10392 of 124807 distinct recorded team appearances (8.3%) 5966 winning team uses of 10392 recorded team uses
57.4%
Aura Sphere Recorded use in 3417 of 124807 distinct recorded team appearances (2.7%) 1999 winning team uses of 3417 recorded team uses
58.5%
Draco Meteor Recorded use in 3321 of 124807 distinct recorded team appearances (2.7%) 1823 winning team uses of 3321 recorded team uses
54.9%
Thunderbolt Recorded use in 297 of 124807 distinct recorded team appearances (0.2%) 147 winning team uses of 297 recorded team uses
49.5%
Steel Beam Recorded use in 182 of 124807 distinct recorded team appearances (0.1%) 95 winning team uses of 182 recorded team uses
52.2%
Dark Pulse Recorded use in 132 of 124807 distinct recorded team appearances (0.1%) 67 winning team uses of 132 recorded team uses
50.8%

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: 2026/10/12 11:01–2026/10/16 00:34 UTC 19.83 52.67 160964 31912 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 19.75 52.77 160962 31792 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:24 UTC 20.55 52.34 160962 33072 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 17.41 52.86 160962 28017 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 13.54 55.06 128104 17351 Observed
~R1208 16.84 54.67 129166 21753 Observed
~R1302 20.84 52.75 126962 26460 Observed
~R1405 22.62 51.41 130626 29549 Observed
R1405~ 23.01 50.91 128992 29680 Observed

Archaludon Observed Statistics

Performance Metrics

Archaludon has a reported usage rate of 19.38% and win rate of 52.65% 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. 65,704 wins and 59,089 losses (124,793 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 19.83% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,964 team slots) and 17.41% 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 -2.42 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 52.67% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=31,912 recorded appearances) and 52.86% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=28,017 recorded appearances), a change of +0.19 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 13.54% (~R1129; n=128,104 team slots) to 23.01% (R1405~; n=128,992 team slots), a spread of 9.47 percentage points. Overall usage was 19.38%. 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, Electro Shot has the largest recorded team-use count (50,775; 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: Pelipper: 53.7% wins in 78,664 recorded pair observations; Golisopod: 53.8% wins in 55,421 recorded pair observations; Politoed: 51.5% wins in 38,076 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: Hatterene: 59.1% wins in 2,651 recorded pair observations; Meowscarada: 58.5% wins in 1,365 recorded pair observations; Absol: 57.5% wins in 2,108 recorded pair observations. Returned lower-win-rate opponent group: Venusaur: 47.3% wins in 9,854 recorded pair observations; Floette-Eternal: 47.4% wins in 9,723 recorded pair observations; Charizard: 48.7% wins in 22,019 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%

Pelipper
Pelipper78664 recorded pair observations · 24.44 pair observations per 100 analyzed battles
53.7%
Golisopod
Golisopod55421 recorded pair observations · 17.22 pair observations per 100 analyzed battles
53.8%
Politoed
Politoed38076 recorded pair observations · 11.83 pair observations per 100 analyzed battles
51.5%
Raichu
Raichu34282 recorded pair observations · 10.65 pair observations per 100 analyzed battles
54.0%
Sneasler
Sneasler33438 recorded pair observations · 10.39 pair observations per 100 analyzed battles
54.7%
Charizard
Charizard32139 recorded pair observations · 9.98 pair observations per 100 analyzed battles
52.5%
Grimmsnarl
Grimmsnarl29868 recorded pair observations · 9.28 pair observations per 100 analyzed battles
53.0%
Farigiraf
Farigiraf24352 recorded pair observations · 7.56 pair observations per 100 analyzed battles
51.5%
Garchomp
Garchomp24075 recorded pair observations · 7.48 pair observations per 100 analyzed battles
53.2%
Basculegion-F
Basculegion-F23887 recorded pair observations · 7.42 pair observations per 100 analyzed battles
56.2%
Rillaboom
Rillaboom22128 recorded pair observations · 6.87 pair observations per 100 analyzed battles
51.7%
Incineroar
Incineroar19891 recorded pair observations · 6.18 pair observations per 100 analyzed battles
51.2%
Swampert
Swampert19686 recorded pair observations · 6.12 pair observations per 100 analyzed battles
53.8%
Venusaur
Venusaur15877 recorded pair observations · 4.93 pair observations per 100 analyzed battles
53.7%
Sinistcha
Sinistcha9926 recorded pair observations · 3.08 pair observations per 100 analyzed battles
52.6%
Basculegion
Basculegion9744 recorded pair observations · 3.03 pair observations per 100 analyzed battles
52.1%
Indeedee-F
Indeedee-F9367 recorded pair observations · 2.91 pair observations per 100 analyzed battles
51.8%
Espathra
Espathra7844 recorded pair observations · 2.44 pair observations per 100 analyzed battles
51.0%
Gengar
Gengar7280 recorded pair observations · 2.26 pair observations per 100 analyzed battles
51.3%
Dragonite
Dragonite5179 recorded pair observations · 1.61 pair observations per 100 analyzed battles
50.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom39443 recorded pair observations · 12.25 pair observations per 100 analyzed battles
51.3%
Sneasler
Sneasler38867 recorded pair observations · 12.07 pair observations per 100 analyzed battles
51.9%
Incineroar
Incineroar34623 recorded pair observations · 10.75 pair observations per 100 analyzed battles
51.7%
Garchomp
Garchomp33504 recorded pair observations · 10.41 pair observations per 100 analyzed battles
50.6%
Archaludon
Archaludon25116 recorded pair observations · 7.80 pair observations per 100 analyzed battles
50.0%
Raichu
Raichu23946 recorded pair observations · 7.44 pair observations per 100 analyzed battles
50.0%
Charizard
Charizard22019 recorded pair observations · 6.84 pair observations per 100 analyzed battles
48.7%
Kingambit
Kingambit21935 recorded pair observations · 6.81 pair observations per 100 analyzed battles
51.6%
Indeedee-F
Indeedee-F21755 recorded pair observations · 6.76 pair observations per 100 analyzed battles
54.7%
Farigiraf
Farigiraf21358 recorded pair observations · 6.63 pair observations per 100 analyzed battles
53.6%
Pelipper
Pelipper21090 recorded pair observations · 6.55 pair observations per 100 analyzed battles
52.3%
Golisopod
Golisopod18769 recorded pair observations · 5.83 pair observations per 100 analyzed battles
54.7%
Gholdengo
Gholdengo16367 recorded pair observations · 5.08 pair observations per 100 analyzed battles
50.1%
Basculegion
Basculegion15080 recorded pair observations · 4.68 pair observations per 100 analyzed battles
50.3%
Whimsicott
Whimsicott14631 recorded pair observations · 4.54 pair observations per 100 analyzed battles
52.4%
Salamence
Salamence14211 recorded pair observations · 4.41 pair observations per 100 analyzed battles
53.1%
Tyranitar
Tyranitar12355 recorded pair observations · 3.84 pair observations per 100 analyzed battles
52.0%
Sinistcha
Sinistcha11210 recorded pair observations · 3.48 pair observations per 100 analyzed battles
54.8%
Sylveon
Sylveon11111 recorded pair observations · 3.45 pair observations per 100 analyzed battles
49.8%
Milotic
Milotic10890 recorded pair observations · 3.38 pair observations per 100 analyzed battles
54.2%

Higher Win-rate Partners

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

Basculegion-F
Basculegion-F23887 recorded pair observations · 7.42 pair observations per 100 analyzed battles
56.2%
Floette-Eternal
Floette-Eternal4059 recorded pair observations · 1.26 pair observations per 100 analyzed battles
55.3%
Metagross
Metagross3116 recorded pair observations · 0.97 pair observations per 100 analyzed battles
55.0%
Staraptor
Staraptor4400 recorded pair observations · 1.37 pair observations per 100 analyzed battles
54.8%
Sneasler
Sneasler33438 recorded pair observations · 10.39 pair observations per 100 analyzed battles
54.7%
Froslass
Froslass1726 recorded pair observations · 0.54 pair observations per 100 analyzed battles
54.3%
Raichu
Raichu34282 recorded pair observations · 10.65 pair observations per 100 analyzed battles
54.0%
Golisopod
Golisopod55421 recorded pair observations · 17.22 pair observations per 100 analyzed battles
53.8%
Swampert
Swampert19686 recorded pair observations · 6.12 pair observations per 100 analyzed battles
53.8%
Pelipper
Pelipper78664 recorded pair observations · 24.44 pair observations per 100 analyzed battles
53.7%

Lower Win-rate Partners

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

Maushold
Maushold1727 recorded pair observations · 0.54 pair observations per 100 analyzed battles
46.8%
Milotic
Milotic1734 recorded pair observations · 0.54 pair observations per 100 analyzed battles
46.8%
Talonflame
Talonflame1250 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.6%
Greninja
Greninja1657 recorded pair observations · 0.51 pair observations per 100 analyzed battles
48.8%
Whimsicott
Whimsicott4745 recorded pair observations · 1.47 pair observations per 100 analyzed battles
49.7%
Tsareena
Tsareena1928 recorded pair observations · 0.60 pair observations per 100 analyzed battles
50.0%
Salamence
Salamence4389 recorded pair observations · 1.36 pair observations per 100 analyzed battles
50.1%
Dragonite
Dragonite5179 recorded pair observations · 1.61 pair observations per 100 analyzed battles
50.5%
Kingambit
Kingambit3289 recorded pair observations · 1.02 pair observations per 100 analyzed battles
50.5%
Vivillon
Vivillon1449 recorded pair observations · 0.45 pair observations per 100 analyzed battles
50.5%

Higher Win-rate Opponent Teams

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

Hatterene
Hatterene2651 recorded pair observations · 0.82 pair observations per 100 analyzed battles
59.1%
Meowscarada
Meowscarada1365 recorded pair observations · 0.42 pair observations per 100 analyzed battles
58.5%
Absol
Absol2108 recorded pair observations · 0.65 pair observations per 100 analyzed battles
57.5%
Baxcalibur
Baxcalibur2729 recorded pair observations · 0.85 pair observations per 100 analyzed battles
57.5%
Clefable
Clefable1649 recorded pair observations · 0.51 pair observations per 100 analyzed battles
57.5%
Gliscor
Gliscor1373 recorded pair observations · 0.43 pair observations per 100 analyzed battles
57.5%
Rotom-Wash
Rotom-Wash2312 recorded pair observations · 0.72 pair observations per 100 analyzed battles
57.4%
Lucario
Lucario3667 recorded pair observations · 1.14 pair observations per 100 analyzed battles
57.3%
Corviknight
Corviknight3445 recorded pair observations · 1.07 pair observations per 100 analyzed battles
57.2%
Kangaskhan
Kangaskhan1253 recorded pair observations · 0.39 pair observations per 100 analyzed battles
57.0%

Lower Win-rate Opponent Teams

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

Venusaur
Venusaur9854 recorded pair observations · 3.06 pair observations per 100 analyzed battles
47.3%
Floette-Eternal
Floette-Eternal9723 recorded pair observations · 3.02 pair observations per 100 analyzed battles
47.4%
Charizard
Charizard22019 recorded pair observations · 6.84 pair observations per 100 analyzed battles
48.7%
Staraptor
Staraptor9280 recorded pair observations · 2.88 pair observations per 100 analyzed battles
48.9%
Sylveon
Sylveon11111 recorded pair observations · 3.45 pair observations per 100 analyzed battles
49.8%
Archaludon
Archaludon25116 recorded pair observations · 7.80 pair observations per 100 analyzed battles
50.0%
Raichu
Raichu23946 recorded pair observations · 7.44 pair observations per 100 analyzed battles
50.0%
Gholdengo
Gholdengo16367 recorded pair observations · 5.08 pair observations per 100 analyzed battles
50.1%
Volcarona
Volcarona10826 recorded pair observations · 3.36 pair observations per 100 analyzed battles
50.1%
Froslass
Froslass6185 recorded pair observations · 1.92 pair observations per 100 analyzed battles
50.2%