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

Azumarill

Tier E

OU (Over Used)

1.20%Usage Rate
45.83%Win Rate
16.08%Lead Rate
1179Avg Rating

3594 recorded team appearances · 1647 wins · 1947 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Aqua Jet Recorded use in 1106 of 3595 distinct recorded team appearances (30.8%) 525 winning team uses of 1106 recorded team uses
47.5%
Play Rough Recorded use in 839 of 3595 distinct recorded team appearances (23.3%) 395 winning team uses of 839 recorded team uses
47.1%
Belly Drum Recorded use in 713 of 3595 distinct recorded team appearances (19.8%) 304 winning team uses of 713 recorded team uses
42.6%
Liquidation Recorded use in 480 of 3595 distinct recorded team appearances (13.4%) 229 winning team uses of 480 recorded team uses
47.7%
Knock Off Recorded use in 477 of 3595 distinct recorded team appearances (13.3%) 224 winning team uses of 477 recorded team uses
47.0%
Aqua Tail Recorded use in 63 of 3595 distinct recorded team appearances (1.8%) 25 winning team uses of 63 recorded team uses
39.7%
Ice Spinner Recorded use in 48 of 3595 distinct recorded team appearances (1.3%) 20 winning team uses of 48 recorded team uses
41.7%
Protect Recorded use in 45 of 3595 distinct recorded team appearances (1.3%) 7 winning team uses of 45 recorded team uses
15.6%
Trailblaze Recorded use in 45 of 3595 distinct recorded team appearances (1.3%) 16 winning team uses of 45 recorded team uses
35.6%
Perish Song Recorded use in 37 of 3595 distinct recorded team appearances (1.0%) 6 winning team uses of 37 recorded team uses
16.2%

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 15:46 JST 1.05 43.42 74644 783 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.09 46.86 74642 811 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:56 JST 1.15 43.72 74642 860 Observed
Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST 1.53 48.33 74642 1140 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.88 44.69 60202 1130 Observed
~R1156 1.53 45.93 59416 910 Observed
~R1268 1.26 46.32 59484 747 Observed
~R1398 0.67 43.81 59962 404 Observed
R1398~ 0.68 49.88 59506 403 Observed

Azumarill Observed Statistics

Performance Metrics

Azumarill has a reported usage rate of 1.20% and win rate of 45.83% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,285 recorded battles. 1,647 wins and 1,947 losses (3,594 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 1.05% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=74,644 team slots) and 1.53% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=74,642 team slots), a change of +0.48 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 43.42% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=783 recorded appearances) and 48.33% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=1,140 recorded appearances), a change of +4.91 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 0.67% (~R1398; n=59,962 team slots) to 1.88% (~R1084; n=60,202 team slots), a spread of 1.21 percentage points. Overall usage was 1.20%. 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, Aqua Jet has the largest recorded team-use count (1,106; 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: Glimmora: 43.6% wins in 654 recorded pair observations; Espeon: 54.3% wins in 633 recorded pair observations; Indeedee: 55.6% wins in 599 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: Tyranitar: 52.1% wins in 142 recorded pair observations; Deoxys-Speed: 51.4% wins in 181 recorded pair observations; Moltres: 50.0% wins in 144 recorded pair observations. Returned lower-win-rate opponent group: Kyurem: 38.0% wins in 334 recorded pair observations; Ting-Lu: 38.5% wins in 265 recorded pair observations; Samurott-Hisui: 38.8% wins in 289 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%

Glimmora
Glimmora654 recorded pair observations · 0.44 pair observations per 100 analyzed battles
43.6%
Espeon
Espeon633 recorded pair observations · 0.42 pair observations per 100 analyzed battles
54.3%
Indeedee
Indeedee599 recorded pair observations · 0.40 pair observations per 100 analyzed battles
55.6%
Iron Crown
Iron Crown592 recorded pair observations · 0.40 pair observations per 100 analyzed battles
55.4%
Hawlucha
Hawlucha585 recorded pair observations · 0.39 pair observations per 100 analyzed battles
55.7%
Armarouge
Armarouge583 recorded pair observations · 0.39 pair observations per 100 analyzed battles
55.2%
Corviknight
Corviknight582 recorded pair observations · 0.39 pair observations per 100 analyzed battles
41.8%
Kingambit
Kingambit386 recorded pair observations · 0.26 pair observations per 100 analyzed battles
50.0%
Dragapult
Dragapult381 recorded pair observations · 0.26 pair observations per 100 analyzed battles
37.5%
Dragonite
Dragonite333 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.2%
Pelipper
Pelipper297 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.8%
Cinderace
Cinderace282 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.0%
Great Tusk
Great Tusk279 recorded pair observations · 0.19 pair observations per 100 analyzed battles
53.4%
Zapdos
Zapdos244 recorded pair observations · 0.16 pair observations per 100 analyzed battles
48.0%
Darkrai
Darkrai242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.4%
Altaria
Altaria220 recorded pair observations · 0.15 pair observations per 100 analyzed battles
34.5%
Iron Valiant
Iron Valiant218 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.9%
Golem
Golem209 recorded pair observations · 0.14 pair observations per 100 analyzed battles
34.5%
Iron Moth
Iron Moth208 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.0%
Scizor
Scizor207 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk875 recorded pair observations · 0.59 pair observations per 100 analyzed battles
40.1%
Gholdengo
Gholdengo714 recorded pair observations · 0.48 pair observations per 100 analyzed battles
40.9%
Kingambit
Kingambit689 recorded pair observations · 0.46 pair observations per 100 analyzed battles
45.6%
Dragapult
Dragapult520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
45.8%
Gliscor
Gliscor520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.6%
Dragonite
Dragonite514 recorded pair observations · 0.34 pair observations per 100 analyzed battles
42.0%
Corviknight
Corviknight487 recorded pair observations · 0.33 pair observations per 100 analyzed battles
43.5%
Ogerpon-Wellspring
Ogerpon-Wellspring452 recorded pair observations · 0.30 pair observations per 100 analyzed battles
42.7%
Iron Valiant
Iron Valiant451 recorded pair observations · 0.30 pair observations per 100 analyzed battles
44.4%
Zamazenta-*
Zamazenta-*433 recorded pair observations · 0.29 pair observations per 100 analyzed battles
42.7%
Glimmora
Glimmora358 recorded pair observations · 0.24 pair observations per 100 analyzed battles
46.6%
Ceruledge
Ceruledge356 recorded pair observations · 0.24 pair observations per 100 analyzed battles
48.3%
Hatterene
Hatterene353 recorded pair observations · 0.24 pair observations per 100 analyzed battles
44.8%
Alomomola
Alomomola338 recorded pair observations · 0.23 pair observations per 100 analyzed battles
44.1%
Raging Bolt
Raging Bolt338 recorded pair observations · 0.23 pair observations per 100 analyzed battles
42.0%
Kyurem
Kyurem334 recorded pair observations · 0.22 pair observations per 100 analyzed battles
38.0%
Cinderace
Cinderace331 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.2%
Slowking-Galar
Slowking-Galar318 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.3%
Landorus-Therian
Landorus-Therian299 recorded pair observations · 0.20 pair observations per 100 analyzed battles
44.5%
Darkrai
Darkrai297 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.8%

Higher Win-rate Partners

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

Hawlucha
Hawlucha585 recorded pair observations · 0.39 pair observations per 100 analyzed battles
55.7%
Indeedee
Indeedee599 recorded pair observations · 0.40 pair observations per 100 analyzed battles
55.6%
Iron Crown
Iron Crown592 recorded pair observations · 0.40 pair observations per 100 analyzed battles
55.4%
Armarouge
Armarouge583 recorded pair observations · 0.39 pair observations per 100 analyzed battles
55.2%
Espeon
Espeon633 recorded pair observations · 0.42 pair observations per 100 analyzed battles
54.3%
Great Tusk
Great Tusk279 recorded pair observations · 0.19 pair observations per 100 analyzed battles
53.4%
Iron Moth
Iron Moth208 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.0%
Kingambit
Kingambit386 recorded pair observations · 0.26 pair observations per 100 analyzed battles
50.0%
Dragonite
Dragonite333 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.2%
Iron Treads
Iron Treads171 recorded pair observations · 0.11 pair observations per 100 analyzed battles
48.0%

Lower Win-rate Partners

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

Clefable
Clefable172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
34.3%
Altaria
Altaria220 recorded pair observations · 0.15 pair observations per 100 analyzed battles
34.5%
Golem
Golem209 recorded pair observations · 0.14 pair observations per 100 analyzed battles
34.5%
Dragapult
Dragapult381 recorded pair observations · 0.26 pair observations per 100 analyzed battles
37.5%
Ceruledge
Ceruledge153 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.8%
Corviknight
Corviknight582 recorded pair observations · 0.39 pair observations per 100 analyzed battles
41.8%
Slowking-Galar
Slowking-Galar177 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.8%
Gliscor
Gliscor162 recorded pair observations · 0.11 pair observations per 100 analyzed battles
42.6%
Ursaluna
Ursaluna173 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.8%
Darkrai
Darkrai242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.4%

Higher Win-rate Opponent Teams

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

Tyranitar
Tyranitar142 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.1%
Deoxys-Speed
Deoxys-Speed181 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.4%
Moltres
Moltres144 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.0%
Pelipper
Pelipper170 recorded pair observations · 0.11 pair observations per 100 analyzed battles
50.0%
Gliscor
Gliscor520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.6%
Ceruledge
Ceruledge356 recorded pair observations · 0.24 pair observations per 100 analyzed battles
48.3%
Clefable
Clefable217 recorded pair observations · 0.15 pair observations per 100 analyzed battles
47.5%
Glimmora
Glimmora358 recorded pair observations · 0.24 pair observations per 100 analyzed battles
46.6%
Meowscarada
Meowscarada193 recorded pair observations · 0.13 pair observations per 100 analyzed battles
46.6%
Scizor
Scizor172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
46.5%

Lower Win-rate Opponent Teams

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

Kyurem
Kyurem334 recorded pair observations · 0.22 pair observations per 100 analyzed battles
38.0%
Ting-Lu
Ting-Lu265 recorded pair observations · 0.18 pair observations per 100 analyzed battles
38.5%
Samurott-Hisui
Samurott-Hisui289 recorded pair observations · 0.19 pair observations per 100 analyzed battles
38.8%
Zapdos
Zapdos214 recorded pair observations · 0.14 pair observations per 100 analyzed battles
38.8%
Great Tusk
Great Tusk875 recorded pair observations · 0.59 pair observations per 100 analyzed battles
40.1%
Rillaboom
Rillaboom252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
40.5%
Gholdengo
Gholdengo714 recorded pair observations · 0.48 pair observations per 100 analyzed battles
40.9%
Iron Moth
Iron Moth239 recorded pair observations · 0.16 pair observations per 100 analyzed battles
41.4%
Weezing-Galar
Weezing-Galar146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.8%
Dragonite
Dragonite514 recorded pair observations · 0.34 pair observations per 100 analyzed battles
42.0%