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

Excadrill

Tier E

BSS Regulation M-C (Pokemon Champions)

2.45%Usage Rate
45.65%Win Rate
10.33%Lead Rate
34.34%Selection Rate
1165Avg Rating

1229 recorded team appearances · 561 wins · 668 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Earthquake Recorded use in 221 of 1229 distinct recorded team appearances (18.0%) 108 winning team uses of 221 recorded team uses
48.9%
Iron Head Recorded use in 141 of 1229 distinct recorded team appearances (11.5%) 66 winning team uses of 141 recorded team uses
46.8%
Stealth Rock Recorded use in 51 of 1229 distinct recorded team appearances (4.1%) 16 winning team uses of 51 recorded team uses
31.4%
Rock Slide Recorded use in 43 of 1229 distinct recorded team appearances (3.5%) 12 winning team uses of 43 recorded team uses
27.9%
Swords Dance Recorded use in 37 of 1229 distinct recorded team appearances (3.0%) 11 winning team uses of 37 recorded team uses
29.7%
Rapid Spin Recorded use in 25 of 1229 distinct recorded team appearances (2.0%) 9 winning team uses of 25 recorded team uses
36.0%

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 1.95 45.71 12542 245 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 2.54 46.23 12542 318 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 2.21 48.74 12542 277 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 3.10 42.93 12540 389 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 3.54 41.08 9968 353 Observed
~R1142 2.32 45.45 9958 231 Observed
~R1208 2.33 42.55 10104 235 Observed
~R1298 1.95 52.31 10004 195 Observed
R1298~ 2.12 50.70 10132 215 Observed

Excadrill Observed Statistics

Performance Metrics

Excadrill has a reported usage rate of 2.45% and win rate of 45.65% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 561 wins and 668 losses (1,229 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 1.95% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 3.10% 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 +1.15 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 45.71% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=245 recorded appearances) and 42.93% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=389 recorded appearances), a change of -2.78 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 1.95% (~R1298; n=10,004 team slots) to 3.54% (~R1089; n=9,968 team slots), a spread of 1.59 percentage points. Overall usage was 2.45%. 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, Earthquake has the largest recorded team-use count (221; 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: Corviknight: 53.2% wins in 425 recorded pair observations; Primarina: 53.7% wins in 298 recorded pair observations; Meowscarada: 54.2% wins in 288 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: 67.7% wins in 31 recorded pair observations; Barbaracle: 66.2% wins in 65 recorded pair observations; Scolipede: 63.3% wins in 49 recorded pair observations. Returned lower-win-rate opponent group: Banette: 28.6% wins in 28 recorded pair observations; Swampert: 31.4% wins in 51 recorded pair observations; Delphox: 34.7% wins in 72 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%

Corviknight
Corviknight425 recorded pair observations · 1.69 pair observations per 100 analyzed battles
53.2%
Primarina
Primarina298 recorded pair observations · 1.19 pair observations per 100 analyzed battles
53.7%
Meowscarada
Meowscarada288 recorded pair observations · 1.15 pair observations per 100 analyzed battles
54.2%
Garchomp
Garchomp268 recorded pair observations · 1.07 pair observations per 100 analyzed battles
50.8%
Tyranitar
Tyranitar230 recorded pair observations · 0.92 pair observations per 100 analyzed battles
30.0%
Raichu
Raichu200 recorded pair observations · 0.80 pair observations per 100 analyzed battles
54.0%
Hippowdon
Hippowdon180 recorded pair observations · 0.72 pair observations per 100 analyzed battles
41.1%
Pawmot
Pawmot179 recorded pair observations · 0.71 pair observations per 100 analyzed battles
54.8%
Lopunny
Lopunny166 recorded pair observations · 0.66 pair observations per 100 analyzed battles
56.0%
Skeledirge
Skeledirge161 recorded pair observations · 0.64 pair observations per 100 analyzed battles
55.3%
Toxapex
Toxapex139 recorded pair observations · 0.55 pair observations per 100 analyzed battles
54.0%
Archaludon
Archaludon136 recorded pair observations · 0.54 pair observations per 100 analyzed battles
49.3%
Basculegion
Basculegion113 recorded pair observations · 0.45 pair observations per 100 analyzed battles
57.5%
Mawile
Mawile103 recorded pair observations · 0.41 pair observations per 100 analyzed battles
46.6%
Dragonite
Dragonite100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
46.0%
Gholdengo
Gholdengo100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
41.0%
Volcarona
Volcarona100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
31.0%
Rotom-Heat
Rotom-Heat97 recorded pair observations · 0.39 pair observations per 100 analyzed battles
53.6%
Slowking-Galar
Slowking-Galar94 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.9%
Rotom-Wash
Rotom-Wash91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
31.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp393 recorded pair observations · 1.57 pair observations per 100 analyzed battles
42.5%
Archaludon
Archaludon262 recorded pair observations · 1.04 pair observations per 100 analyzed battles
37.4%
Primarina
Primarina261 recorded pair observations · 1.04 pair observations per 100 analyzed battles
44.8%
Hippowdon
Hippowdon239 recorded pair observations · 0.95 pair observations per 100 analyzed battles
48.1%
Mimikyu
Mimikyu228 recorded pair observations · 0.91 pair observations per 100 analyzed battles
41.7%
Gholdengo
Gholdengo200 recorded pair observations · 0.80 pair observations per 100 analyzed battles
46.0%
Corviknight
Corviknight197 recorded pair observations · 0.79 pair observations per 100 analyzed battles
42.1%
Basculegion
Basculegion191 recorded pair observations · 0.76 pair observations per 100 analyzed battles
37.2%
Golisopod
Golisopod175 recorded pair observations · 0.70 pair observations per 100 analyzed battles
44.6%
Salamence
Salamence165 recorded pair observations · 0.66 pair observations per 100 analyzed battles
49.7%
Lucario
Lucario161 recorded pair observations · 0.64 pair observations per 100 analyzed battles
39.8%
Metagross
Metagross155 recorded pair observations · 0.62 pair observations per 100 analyzed battles
41.3%
Kingambit
Kingambit139 recorded pair observations · 0.55 pair observations per 100 analyzed battles
54.7%
Charizard
Charizard136 recorded pair observations · 0.54 pair observations per 100 analyzed battles
40.4%
Baxcalibur
Baxcalibur134 recorded pair observations · 0.53 pair observations per 100 analyzed battles
49.2%
Dragonite
Dragonite134 recorded pair observations · 0.53 pair observations per 100 analyzed battles
35.1%
Clefable
Clefable128 recorded pair observations · 0.51 pair observations per 100 analyzed battles
52.3%
Gyarados
Gyarados127 recorded pair observations · 0.51 pair observations per 100 analyzed battles
55.1%
Rillaboom
Rillaboom118 recorded pair observations · 0.47 pair observations per 100 analyzed battles
48.3%
Scizor
Scizor117 recorded pair observations · 0.47 pair observations per 100 analyzed battles
59.8%

Higher Win-rate Partners

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

Banette
Banette81 recorded pair observations · 0.32 pair observations per 100 analyzed battles
60.5%
Scovillain
Scovillain36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
58.3%
Basculegion
Basculegion113 recorded pair observations · 0.45 pair observations per 100 analyzed battles
57.5%
Lopunny
Lopunny166 recorded pair observations · 0.66 pair observations per 100 analyzed battles
56.0%
Skeledirge
Skeledirge161 recorded pair observations · 0.64 pair observations per 100 analyzed battles
55.3%
Pawmot
Pawmot179 recorded pair observations · 0.71 pair observations per 100 analyzed battles
54.8%
Greninja
Greninja48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
54.2%
Meowscarada
Meowscarada288 recorded pair observations · 1.15 pair observations per 100 analyzed battles
54.2%
Raichu
Raichu200 recorded pair observations · 0.80 pair observations per 100 analyzed battles
54.0%
Toxapex
Toxapex139 recorded pair observations · 0.55 pair observations per 100 analyzed battles
54.0%

Lower Win-rate Partners

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

Metagross
Metagross24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
29.2%
Sneasler
Sneasler88 recorded pair observations · 0.35 pair observations per 100 analyzed battles
29.6%
Tyranitar
Tyranitar230 recorded pair observations · 0.92 pair observations per 100 analyzed battles
30.0%
Volcarona
Volcarona100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
31.0%
Rotom-Wash
Rotom-Wash91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
31.9%
Sceptile
Sceptile25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
32.0%
Indeedee
Indeedee37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
32.4%
Weavile
Weavile37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
32.4%
Gyarados
Gyarados49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
32.6%
Gengar
Gengar65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
33.9%

Higher Win-rate Opponent Teams

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

Hatterene
Hatterene31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
67.7%
Barbaracle
Barbaracle65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
66.2%
Scolipede
Scolipede49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
63.3%
Lopunny
Lopunny24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
62.5%
Meganium
Meganium26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
61.5%
Scizor
Scizor117 recorded pair observations · 0.47 pair observations per 100 analyzed battles
59.8%
Skarmory
Skarmory34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
58.8%
Floette-Eternal
Floette-Eternal91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
56.0%
Grimmsnarl
Grimmsnarl49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.1%
Gyarados
Gyarados127 recorded pair observations · 0.51 pair observations per 100 analyzed battles
55.1%

Lower Win-rate Opponent Teams

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

Banette
Banette28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
28.6%
Swampert
Swampert51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
31.4%
Delphox
Delphox72 recorded pair observations · 0.29 pair observations per 100 analyzed battles
34.7%
Dragonite
Dragonite134 recorded pair observations · 0.53 pair observations per 100 analyzed battles
35.1%
Samurott-Hisui
Samurott-Hisui53 recorded pair observations · 0.21 pair observations per 100 analyzed battles
35.9%
Starmie
Starmie88 recorded pair observations · 0.35 pair observations per 100 analyzed battles
36.4%
Hydreigon
Hydreigon62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
37.1%
Basculegion
Basculegion191 recorded pair observations · 0.76 pair observations per 100 analyzed battles
37.2%
Archaludon
Archaludon262 recorded pair observations · 1.04 pair observations per 100 analyzed battles
37.4%
Dragapult
Dragapult32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
37.5%