Last Updated: 10/25/2026 11:09 [UTC]

Excadrill

Tier C

VGC 2026 Regulation M-C (Pokemon Champions)

6.81%Usage Rate
50.97%Win Rate
31.16%Lead Rate
61.66%Selection Rate
1280Avg Rating

44302 recorded team appearances · 22581 wins · 21721 losses · 10/11/2026–10/25/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

High Horsepower Recorded use in 13092 of 44309 distinct recorded team appearances (29.5%) 7059 winning team uses of 13092 recorded team uses
53.9%
Protect Recorded use in 11041 of 44309 distinct recorded team appearances (24.9%) 5251 winning team uses of 11041 recorded team uses
47.6%
Iron Head Recorded use in 9080 of 44309 distinct recorded team appearances (20.5%) 5103 winning team uses of 9080 recorded team uses
56.2%
Rock Slide Recorded use in 8691 of 44309 distinct recorded team appearances (19.6%) 4439 winning team uses of 8691 recorded team uses
51.1%
Earthquake Recorded use in 3144 of 44309 distinct recorded team appearances (7.1%) 1733 winning team uses of 3144 recorded team uses
55.1%
Swords Dance Recorded use in 467 of 44309 distinct recorded team appearances (1.1%) 209 winning team uses of 467 recorded team uses
44.8%
Stomping Tantrum Recorded use in 361 of 44309 distinct recorded team appearances (0.8%) 186 winning team uses of 361 recorded team uses
51.5%
Drill Run Recorded use in 293 of 44309 distinct recorded team appearances (0.7%) 153 winning team uses of 293 recorded team uses
52.2%
Horn Drill Recorded use in 163 of 44309 distinct recorded team appearances (0.4%) 73 winning team uses of 163 recorded team uses
44.8%
Rock Tomb Recorded use in 125 of 44309 distinct recorded team appearances (0.3%) 65 winning team uses of 125 recorded team uses
52.0%

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: 2026/10/11 11:01–2026/10/14 22:03 UTC 6.65 49.85 162620 10809 Observed
Period 2: 2026/10/14 22:03–2026/10/18 07:58 UTC 6.91 51.00 162618 11239 Observed
Period 3: 2026/10/18 07:58–2026/10/21 17:31 UTC 7.08 51.06 162618 11517 Observed
Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC 6.60 51.97 162618 10737 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1132 5.87 53.60 129866 7625 Observed
~R1209 7.07 52.63 129712 9171 Observed
~R1304 7.47 49.90 129444 9663 Observed
~R1406 7.27 49.87 130156 9468 Observed
R1406~ 6.38 49.23 131296 8375 Observed

Excadrill Observed Statistics

Performance Metrics

Excadrill has a reported usage rate of 6.81% and win rate of 50.97% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: C). The report covers 10/11/2026 to 10/25/2026 (UTC), with 325,237 recorded battles. 22,581 wins and 21,721 losses (44,302 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 6.65% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=162,620 team slots) and 6.60% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=162,618 team slots), a change of -0.05 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 49.85% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=10,809 recorded appearances) and 51.97% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=10,737 recorded appearances), a change of +2.12 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 5.87% (~R1132; n=129,866 team slots) to 7.47% (~R1304; n=129,444 team slots), a spread of 1.60 percentage points. Overall usage was 6.81%. 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, High Horsepower has the largest recorded team-use count (13,092; 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: Tyranitar: 51.6% wins in 40,779 recorded pair observations; Sneasler: 50.9% wins in 19,543 recorded pair observations; Salamence: 53.2% wins in 16,244 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: Alakazam: 63.0% wins in 652 recorded pair observations; Sceptile: 61.0% wins in 858 recorded pair observations; Maushold: 60.4% wins in 884 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 44.9% wins in 1,915 recorded pair observations; Staraptor: 46.1% wins in 3,119 recorded pair observations; Golisopod: 46.6% wins in 6,566 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%

Tyranitar
Tyranitar40779 recorded pair observations · 12.54 pair observations per 100 analyzed battles
51.6%
Sneasler
Sneasler19543 recorded pair observations · 6.01 pair observations per 100 analyzed battles
50.9%
Salamence
Salamence16244 recorded pair observations · 4.99 pair observations per 100 analyzed battles
53.2%
Milotic
Milotic11849 recorded pair observations · 3.64 pair observations per 100 analyzed battles
52.6%
Indeedee
Indeedee11347 recorded pair observations · 3.49 pair observations per 100 analyzed battles
51.4%
Indeedee-F
Indeedee-F10933 recorded pair observations · 3.36 pair observations per 100 analyzed battles
50.6%
Gholdengo
Gholdengo8661 recorded pair observations · 2.66 pair observations per 100 analyzed battles
54.1%
Rillaboom
Rillaboom8152 recorded pair observations · 2.51 pair observations per 100 analyzed battles
51.8%
Corviknight
Corviknight6928 recorded pair observations · 2.13 pair observations per 100 analyzed battles
52.5%
Sinistcha
Sinistcha5958 recorded pair observations · 1.83 pair observations per 100 analyzed battles
51.9%
Rotom-Heat
Rotom-Heat5896 recorded pair observations · 1.81 pair observations per 100 analyzed battles
48.6%
Sceptile
Sceptile5571 recorded pair observations · 1.71 pair observations per 100 analyzed battles
48.3%
Staraptor
Staraptor4729 recorded pair observations · 1.45 pair observations per 100 analyzed battles
53.6%
Volcarona
Volcarona3798 recorded pair observations · 1.17 pair observations per 100 analyzed battles
51.5%
Incineroar
Incineroar3634 recorded pair observations · 1.12 pair observations per 100 analyzed battles
50.0%
Garchomp
Garchomp3168 recorded pair observations · 0.97 pair observations per 100 analyzed battles
47.9%
Gardevoir
Gardevoir2429 recorded pair observations · 0.75 pair observations per 100 analyzed battles
53.0%
Armarouge
Armarouge2369 recorded pair observations · 0.73 pair observations per 100 analyzed battles
52.6%
Whimsicott
Whimsicott2204 recorded pair observations · 0.68 pair observations per 100 analyzed battles
49.9%
Farigiraf
Farigiraf1813 recorded pair observations · 0.56 pair observations per 100 analyzed battles
51.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom13951 recorded pair observations · 4.29 pair observations per 100 analyzed battles
48.1%
Sneasler
Sneasler13503 recorded pair observations · 4.15 pair observations per 100 analyzed battles
49.7%
Incineroar
Incineroar12315 recorded pair observations · 3.79 pair observations per 100 analyzed battles
50.4%
Garchomp
Garchomp11817 recorded pair observations · 3.63 pair observations per 100 analyzed battles
48.8%
Archaludon
Archaludon8903 recorded pair observations · 2.74 pair observations per 100 analyzed battles
48.2%
Raichu
Raichu8382 recorded pair observations · 2.58 pair observations per 100 analyzed battles
48.0%
Indeedee-F
Indeedee-F7843 recorded pair observations · 2.41 pair observations per 100 analyzed battles
55.5%
Charizard
Charizard7765 recorded pair observations · 2.39 pair observations per 100 analyzed battles
51.2%
Farigiraf
Farigiraf7646 recorded pair observations · 2.35 pair observations per 100 analyzed battles
51.2%
Kingambit
Kingambit7527 recorded pair observations · 2.31 pair observations per 100 analyzed battles
47.3%
Pelipper
Pelipper7321 recorded pair observations · 2.25 pair observations per 100 analyzed battles
48.8%
Golisopod
Golisopod6566 recorded pair observations · 2.02 pair observations per 100 analyzed battles
46.6%
Gholdengo
Gholdengo5910 recorded pair observations · 1.82 pair observations per 100 analyzed battles
49.8%
Whimsicott
Whimsicott5171 recorded pair observations · 1.59 pair observations per 100 analyzed battles
53.1%
Basculegion
Basculegion5097 recorded pair observations · 1.57 pair observations per 100 analyzed battles
49.7%
Salamence
Salamence4853 recorded pair observations · 1.49 pair observations per 100 analyzed battles
49.0%
Tyranitar
Tyranitar4355 recorded pair observations · 1.34 pair observations per 100 analyzed battles
51.6%
Sinistcha
Sinistcha4104 recorded pair observations · 1.26 pair observations per 100 analyzed battles
50.2%
Volcarona
Volcarona4088 recorded pair observations · 1.26 pair observations per 100 analyzed battles
51.3%
Milotic
Milotic3878 recorded pair observations · 1.19 pair observations per 100 analyzed battles
48.4%

Higher Win-rate Partners

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

Sylveon
Sylveon1151 recorded pair observations · 0.35 pair observations per 100 analyzed battles
55.2%
Annihilape
Annihilape1466 recorded pair observations · 0.45 pair observations per 100 analyzed battles
54.2%
Gholdengo
Gholdengo8661 recorded pair observations · 2.66 pair observations per 100 analyzed battles
54.1%
Staraptor
Staraptor4729 recorded pair observations · 1.45 pair observations per 100 analyzed battles
53.6%
Archaludon
Archaludon608 recorded pair observations · 0.19 pair observations per 100 analyzed battles
53.3%
Kommo-o
Kommo-o1653 recorded pair observations · 0.51 pair observations per 100 analyzed battles
53.2%
Salamence
Salamence16244 recorded pair observations · 4.99 pair observations per 100 analyzed battles
53.2%
Gardevoir
Gardevoir2429 recorded pair observations · 0.75 pair observations per 100 analyzed battles
53.0%
Meganium
Meganium540 recorded pair observations · 0.17 pair observations per 100 analyzed battles
52.8%
Armarouge
Armarouge2369 recorded pair observations · 0.73 pair observations per 100 analyzed battles
52.6%

Lower Win-rate Partners

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

Hawlucha
Hawlucha458 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.8%
Aerodactyl
Aerodactyl466 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.6%
Grimmsnarl
Grimmsnarl606 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.4%
Blaziken
Blaziken492 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.5%
Pelipper
Pelipper610 recorded pair observations · 0.19 pair observations per 100 analyzed battles
46.7%
Lucario
Lucario607 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.1%
Clefable
Clefable517 recorded pair observations · 0.16 pair observations per 100 analyzed battles
47.4%
Dragapult
Dragapult772 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.4%
Hippowdon
Hippowdon905 recorded pair observations · 0.28 pair observations per 100 analyzed battles
47.5%
Talonflame
Talonflame962 recorded pair observations · 0.30 pair observations per 100 analyzed battles
47.8%

Higher Win-rate Opponent Teams

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

Alakazam
Alakazam652 recorded pair observations · 0.20 pair observations per 100 analyzed battles
63.0%
Sceptile
Sceptile858 recorded pair observations · 0.26 pair observations per 100 analyzed battles
61.0%
Maushold
Maushold884 recorded pair observations · 0.27 pair observations per 100 analyzed battles
60.4%
Clefable
Clefable642 recorded pair observations · 0.20 pair observations per 100 analyzed battles
60.0%
Typhlosion-Hisui
Typhlosion-Hisui784 recorded pair observations · 0.24 pair observations per 100 analyzed battles
59.4%
Absol
Absol780 recorded pair observations · 0.24 pair observations per 100 analyzed battles
57.4%
Greninja
Greninja446 recorded pair observations · 0.14 pair observations per 100 analyzed battles
57.4%
Torkoal
Torkoal2408 recorded pair observations · 0.74 pair observations per 100 analyzed battles
57.4%
Rotom-Heat
Rotom-Heat854 recorded pair observations · 0.26 pair observations per 100 analyzed battles
56.4%
Armarouge
Armarouge1960 recorded pair observations · 0.60 pair observations per 100 analyzed battles
56.0%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F1915 recorded pair observations · 0.59 pair observations per 100 analyzed battles
44.9%
Staraptor
Staraptor3119 recorded pair observations · 0.96 pair observations per 100 analyzed battles
46.1%
Golisopod
Golisopod6566 recorded pair observations · 2.02 pair observations per 100 analyzed battles
46.6%
Scrafty
Scrafty450 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.1%
Kingambit
Kingambit7527 recorded pair observations · 2.31 pair observations per 100 analyzed battles
47.3%
Swampert
Swampert1917 recorded pair observations · 0.59 pair observations per 100 analyzed battles
47.3%
Froslass
Froslass2237 recorded pair observations · 0.69 pair observations per 100 analyzed battles
47.4%
Primarina
Primarina2188 recorded pair observations · 0.67 pair observations per 100 analyzed battles
47.4%
Arcanine-Hisui
Arcanine-Hisui2240 recorded pair observations · 0.69 pair observations per 100 analyzed battles
47.7%
Raichu
Raichu8382 recorded pair observations · 2.58 pair observations per 100 analyzed battles
48.0%