Last Updated: 10/10/2026 14:13 [UTC]

Excadrill

Tier D

OU (Over Used)

2.76%Usage Rate
49.71%Win Rate
6.60%Lead Rate
1247Avg Rating

8233 recorded team appearances · 4093 wins · 4140 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Earthquake Recorded use in 2924 of 8233 distinct recorded team appearances (35.5%) 1550 winning team uses of 2924 recorded team uses
53.0%
Iron Head Recorded use in 1834 of 8233 distinct recorded team appearances (22.3%) 956 winning team uses of 1834 recorded team uses
52.1%
Rapid Spin Recorded use in 1691 of 8233 distinct recorded team appearances (20.5%) 859 winning team uses of 1691 recorded team uses
50.8%
Swords Dance Recorded use in 1243 of 8233 distinct recorded team appearances (15.1%) 588 winning team uses of 1243 recorded team uses
47.3%
Rock Slide Recorded use in 619 of 8233 distinct recorded team appearances (7.5%) 314 winning team uses of 619 recorded team uses
50.7%
Stealth Rock Recorded use in 438 of 8233 distinct recorded team appearances (5.3%) 210 winning team uses of 438 recorded team uses
47.9%
Substitute Recorded use in 217 of 8233 distinct recorded team appearances (2.6%) 120 winning team uses of 217 recorded team uses
55.3%
Rock Blast Recorded use in 91 of 8233 distinct recorded team appearances (1.1%) 49 winning team uses of 91 recorded team uses
53.8%
Poison Jab Recorded use in 76 of 8233 distinct recorded team appearances (0.9%) 37 winning team uses of 76 recorded team uses
48.7%
Drill Run Recorded use in 72 of 8233 distinct recorded team appearances (0.9%) 28 winning team uses of 72 recorded team uses
38.9%

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: 2026/09/26 23:07–2026/09/30 15:45 JST 2.55 51.02 74642 1905 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.69 49.43 74642 2009 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 3.19 48.84 74640 2379 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.60 49.79 74640 1940 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.89 53.59 60200 1739 Observed
~R1156 3.25 48.06 59416 1931 Observed
~R1268 2.50 47.31 59484 1486 Observed
~R1398 1.99 46.07 59960 1196 Observed
R1398~ 3.16 52.05 59504 1881 Observed

Excadrill Observed Statistics

Performance Metrics

Excadrill has a reported usage rate of 2.76% and win rate of 49.71% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 4,093 wins and 4,140 losses (8,233 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 2.55% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.60% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=74,640 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 51.02% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=1,905 recorded appearances) and 49.79% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,940 recorded appearances), a change of -1.23 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 1.99% (~R1398; n=59,960 team slots) to 3.25% (~R1156; n=59,416 team slots), a spread of 1.26 percentage points. Overall usage was 2.76%. 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 (2,924; 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: 51.1% wins in 4,961 recorded pair observations; Dragapult: 50.4% wins in 1,303 recorded pair observations; Corviknight: 47.2% wins in 1,179 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: Ribombee: 61.2% wins in 152 recorded pair observations; Ninetales: 56.5% wins in 223 recorded pair observations; Ninetales-Alola: 56.3% wins in 174 recorded pair observations. Returned lower-win-rate opponent group: Iron Hands: 40.5% wins in 158 recorded pair observations; Enamorus: 41.0% wins in 268 recorded pair observations; Araquanid: 41.1% wins in 146 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
Tyranitar4961 recorded pair observations · 3.32 pair observations per 100 analyzed battles
51.1%
Dragapult
Dragapult1303 recorded pair observations · 0.87 pair observations per 100 analyzed battles
50.4%
Corviknight
Corviknight1179 recorded pair observations · 0.79 pair observations per 100 analyzed battles
47.2%
Hippowdon
Hippowdon871 recorded pair observations · 0.58 pair observations per 100 analyzed battles
49.7%
Hydrapple
Hydrapple851 recorded pair observations · 0.57 pair observations per 100 analyzed battles
53.5%
Gholdengo
Gholdengo774 recorded pair observations · 0.52 pair observations per 100 analyzed battles
52.7%
Toxapex
Toxapex773 recorded pair observations · 0.52 pair observations per 100 analyzed battles
56.4%
Tornadus-Therian
Tornadus-Therian756 recorded pair observations · 0.51 pair observations per 100 analyzed battles
52.4%
Rotom-Wash
Rotom-Wash743 recorded pair observations · 0.50 pair observations per 100 analyzed battles
48.3%
Heatran
Heatran740 recorded pair observations · 0.50 pair observations per 100 analyzed battles
51.8%
Moltres
Moltres723 recorded pair observations · 0.48 pair observations per 100 analyzed battles
57.0%
Clefable
Clefable680 recorded pair observations · 0.46 pair observations per 100 analyzed battles
47.9%
Gliscor
Gliscor677 recorded pair observations · 0.45 pair observations per 100 analyzed battles
45.5%
Zapdos
Zapdos668 recorded pair observations · 0.45 pair observations per 100 analyzed battles
53.7%
Garchomp
Garchomp646 recorded pair observations · 0.43 pair observations per 100 analyzed battles
44.9%
Pelipper
Pelipper646 recorded pair observations · 0.43 pair observations per 100 analyzed battles
52.5%
Ogerpon-Wellspring
Ogerpon-Wellspring630 recorded pair observations · 0.42 pair observations per 100 analyzed battles
51.6%
Iron Valiant
Iron Valiant628 recorded pair observations · 0.42 pair observations per 100 analyzed battles
52.2%
Alomomola
Alomomola577 recorded pair observations · 0.39 pair observations per 100 analyzed battles
51.0%
Garganacl
Garganacl540 recorded pair observations · 0.36 pair observations per 100 analyzed battles
51.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk2245 recorded pair observations · 1.50 pair observations per 100 analyzed battles
46.8%
Gholdengo
Gholdengo1696 recorded pair observations · 1.14 pair observations per 100 analyzed battles
48.2%
Kingambit
Kingambit1636 recorded pair observations · 1.10 pair observations per 100 analyzed battles
47.6%
Dragonite
Dragonite1148 recorded pair observations · 0.77 pair observations per 100 analyzed battles
49.8%
Iron Valiant
Iron Valiant1130 recorded pair observations · 0.76 pair observations per 100 analyzed battles
47.7%
Dragapult
Dragapult1112 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.1%
Gliscor
Gliscor1110 recorded pair observations · 0.74 pair observations per 100 analyzed battles
47.8%
Ogerpon-Wellspring
Ogerpon-Wellspring1104 recorded pair observations · 0.74 pair observations per 100 analyzed battles
47.2%
Zamazenta-*
Zamazenta-*1090 recorded pair observations · 0.73 pair observations per 100 analyzed battles
44.9%
Corviknight
Corviknight1088 recorded pair observations · 0.73 pair observations per 100 analyzed battles
46.6%
Raging Bolt
Raging Bolt971 recorded pair observations · 0.65 pair observations per 100 analyzed battles
50.0%
Hatterene
Hatterene918 recorded pair observations · 0.61 pair observations per 100 analyzed battles
49.5%
Cinderace
Cinderace873 recorded pair observations · 0.58 pair observations per 100 analyzed battles
50.7%
Slowking-Galar
Slowking-Galar869 recorded pair observations · 0.58 pair observations per 100 analyzed battles
46.4%
Samurott-Hisui
Samurott-Hisui813 recorded pair observations · 0.54 pair observations per 100 analyzed battles
47.0%
Alomomola
Alomomola802 recorded pair observations · 0.54 pair observations per 100 analyzed battles
44.6%
Landorus-Therian
Landorus-Therian801 recorded pair observations · 0.54 pair observations per 100 analyzed battles
47.6%
Kyurem
Kyurem733 recorded pair observations · 0.49 pair observations per 100 analyzed battles
48.6%
Iron Treads
Iron Treads723 recorded pair observations · 0.48 pair observations per 100 analyzed battles
44.7%
Darkrai
Darkrai719 recorded pair observations · 0.48 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%

Quaquaval
Quaquaval145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
60.7%
Ursaluna
Ursaluna286 recorded pair observations · 0.19 pair observations per 100 analyzed battles
59.1%
Ogerpon
Ogerpon287 recorded pair observations · 0.19 pair observations per 100 analyzed battles
57.5%
Moltres
Moltres723 recorded pair observations · 0.48 pair observations per 100 analyzed battles
57.0%
Weezing-Galar
Weezing-Galar183 recorded pair observations · 0.12 pair observations per 100 analyzed battles
56.8%
Toxapex
Toxapex773 recorded pair observations · 0.52 pair observations per 100 analyzed battles
56.4%
Hydreigon
Hydreigon173 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.5%
Ribombee
Ribombee177 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.4%
Keldeo-Resolute
Keldeo-Resolute465 recorded pair observations · 0.31 pair observations per 100 analyzed battles
55.0%
Skarmory
Skarmory306 recorded pair observations · 0.20 pair observations per 100 analyzed battles
54.2%

Lower Win-rate Partners

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

Gyarados
Gyarados159 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.4%
Garchomp
Garchomp646 recorded pair observations · 0.43 pair observations per 100 analyzed battles
44.9%
Scizor
Scizor274 recorded pair observations · 0.18 pair observations per 100 analyzed battles
44.9%
Zoroark-Hisui
Zoroark-Hisui225 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.9%
Gliscor
Gliscor677 recorded pair observations · 0.45 pair observations per 100 analyzed battles
45.5%
Grimmsnarl
Grimmsnarl204 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.6%
Slowking
Slowking205 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.9%
Diancie
Diancie165 recorded pair observations · 0.11 pair observations per 100 analyzed battles
46.1%
Meowscarada
Meowscarada216 recorded pair observations · 0.14 pair observations per 100 analyzed battles
46.3%
Gengar
Gengar346 recorded pair observations · 0.23 pair observations per 100 analyzed battles
46.8%

Higher Win-rate Opponent Teams

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

Ribombee
Ribombee152 recorded pair observations · 0.10 pair observations per 100 analyzed battles
61.2%
Ninetales
Ninetales223 recorded pair observations · 0.15 pair observations per 100 analyzed battles
56.5%
Ninetales-Alola
Ninetales-Alola174 recorded pair observations · 0.12 pair observations per 100 analyzed battles
56.3%
Toxapex
Toxapex327 recorded pair observations · 0.22 pair observations per 100 analyzed battles
56.0%
Clodsire
Clodsire242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
55.4%
Ceruledge
Ceruledge714 recorded pair observations · 0.48 pair observations per 100 analyzed battles
55.3%
Grimmsnarl
Grimmsnarl161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.3%
Dondozo
Dondozo347 recorded pair observations · 0.23 pair observations per 100 analyzed battles
55.0%
Gengar
Gengar157 recorded pair observations · 0.11 pair observations per 100 analyzed battles
54.8%
Venusaur
Venusaur170 recorded pair observations · 0.11 pair observations per 100 analyzed battles
54.7%

Lower Win-rate Opponent Teams

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

Iron Hands
Iron Hands158 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.5%
Enamorus
Enamorus268 recorded pair observations · 0.18 pair observations per 100 analyzed battles
41.0%
Araquanid
Araquanid146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.1%
Hydrapple
Hydrapple200 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.0%
Iron Crown
Iron Crown298 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.3%
Weezing-Galar
Weezing-Galar344 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.3%
Tornadus-Therian
Tornadus-Therian278 recorded pair observations · 0.19 pair observations per 100 analyzed battles
43.5%
Ursaluna
Ursaluna229 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.7%
Ogerpon
Ogerpon322 recorded pair observations · 0.22 pair observations per 100 analyzed battles
43.8%
Alomomola
Alomomola802 recorded pair observations · 0.54 pair observations per 100 analyzed battles
44.6%