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

Quaquaval

Tier E

OU (Over Used)

1.86%Usage Rate
47.84%Win Rate
12.64%Lead Rate
1196Avg Rating

5560 recorded team appearances · 2660 wins · 2900 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Aqua Step Recorded use in 2336 of 5560 distinct recorded team appearances (42.0%) 1140 winning team uses of 2336 recorded team uses
48.8%
Close Combat Recorded use in 916 of 5560 distinct recorded team appearances (16.5%) 473 winning team uses of 916 recorded team uses
51.6%
Knock Off Recorded use in 456 of 5560 distinct recorded team appearances (8.2%) 225 winning team uses of 456 recorded team uses
49.3%
Rapid Spin Recorded use in 408 of 5560 distinct recorded team appearances (7.3%) 212 winning team uses of 408 recorded team uses
52.0%
Triple Axel Recorded use in 319 of 5560 distinct recorded team appearances (5.7%) 160 winning team uses of 319 recorded team uses
50.2%
Swords Dance Recorded use in 307 of 5560 distinct recorded team appearances (5.5%) 148 winning team uses of 307 recorded team uses
48.2%
Ice Spinner Recorded use in 250 of 5560 distinct recorded team appearances (4.5%) 125 winning team uses of 250 recorded team uses
50.0%
Aqua Jet Recorded use in 199 of 5560 distinct recorded team appearances (3.6%) 109 winning team uses of 199 recorded team uses
54.8%
Bulk Up Recorded use in 132 of 5560 distinct recorded team appearances (2.4%) 54 winning team uses of 132 recorded team uses
40.9%
Flip Turn Recorded use in 131 of 5560 distinct recorded team appearances (2.4%) 71 winning team uses of 131 recorded team uses
54.2%

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 15:45 JST 1.93 45.98 74642 1444 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.76 48.86 74642 1314 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 1.63 49.79 74640 1213 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.13 47.20 74640 1589 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.35 48.34 60200 1415 Observed
~R1156 2.49 46.72 59416 1479 Observed
~R1268 1.85 47.95 59484 1099 Observed
~R1398 1.58 48.05 59960 947 Observed
R1398~ 1.04 48.87 59504 620 Observed

Quaquaval Observed Statistics

Performance Metrics

Quaquaval has a reported usage rate of 1.86% and win rate of 47.84% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 2,660 wins and 2,900 losses (5,560 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 1.93% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.13% 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 +0.20 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 45.98% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=1,444 recorded appearances) and 47.20% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,589 recorded appearances), a change of +1.22 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 1.04% (R1398~; n=59,504 team slots) to 2.49% (~R1156; n=59,416 team slots), a spread of 1.45 percentage points. Overall usage was 1.86%. 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 Step has the largest recorded team-use count (2,336; 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: Gholdengo: 51.3% wins in 758 recorded pair observations; Dragonite: 47.5% wins in 756 recorded pair observations; Kingambit: 47.3% wins in 713 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: Excadrill: 54.5% wins in 156 recorded pair observations; Greninja-*: 53.7% wins in 175 recorded pair observations; Tyranitar: 53.7% wins in 201 recorded pair observations. Returned lower-win-rate opponent group: Dondozo: 38.2% wins in 241 recorded pair observations; Zapdos: 39.6% wins in 356 recorded pair observations; Raging Bolt: 40.2% wins in 554 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%

Gholdengo
Gholdengo758 recorded pair observations · 0.51 pair observations per 100 analyzed battles
51.3%
Dragonite
Dragonite756 recorded pair observations · 0.51 pair observations per 100 analyzed battles
47.5%
Kingambit
Kingambit713 recorded pair observations · 0.48 pair observations per 100 analyzed battles
47.3%
Ceruledge
Ceruledge706 recorded pair observations · 0.47 pair observations per 100 analyzed battles
44.6%
Meowscarada
Meowscarada703 recorded pair observations · 0.47 pair observations per 100 analyzed battles
46.4%
Dragapult
Dragapult649 recorded pair observations · 0.43 pair observations per 100 analyzed battles
47.5%
Gliscor
Gliscor616 recorded pair observations · 0.41 pair observations per 100 analyzed battles
44.8%
Pelipper
Pelipper580 recorded pair observations · 0.39 pair observations per 100 analyzed battles
49.0%
Iron Valiant
Iron Valiant481 recorded pair observations · 0.32 pair observations per 100 analyzed battles
46.8%
Raging Bolt
Raging Bolt462 recorded pair observations · 0.31 pair observations per 100 analyzed battles
49.4%
Corviknight
Corviknight431 recorded pair observations · 0.29 pair observations per 100 analyzed battles
46.6%
Garchomp
Garchomp410 recorded pair observations · 0.27 pair observations per 100 analyzed battles
46.8%
Glimmora
Glimmora410 recorded pair observations · 0.27 pair observations per 100 analyzed battles
48.3%
Hatterene
Hatterene400 recorded pair observations · 0.27 pair observations per 100 analyzed battles
45.8%
Landorus-Therian
Landorus-Therian400 recorded pair observations · 0.27 pair observations per 100 analyzed battles
52.5%
Iron Treads
Iron Treads395 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.9%
Rillaboom
Rillaboom373 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.4%
Pecharunt
Pecharunt361 recorded pair observations · 0.24 pair observations per 100 analyzed battles
50.7%
Iron Moth
Iron Moth357 recorded pair observations · 0.24 pair observations per 100 analyzed battles
49.3%
Ting-Lu
Ting-Lu343 recorded pair observations · 0.23 pair observations per 100 analyzed battles
51.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1317 recorded pair observations · 0.88 pair observations per 100 analyzed battles
45.1%
Gholdengo
Gholdengo1161 recorded pair observations · 0.78 pair observations per 100 analyzed battles
48.7%
Kingambit
Kingambit1061 recorded pair observations · 0.71 pair observations per 100 analyzed battles
46.4%
Dragonite
Dragonite828 recorded pair observations · 0.55 pair observations per 100 analyzed battles
46.1%
Gliscor
Gliscor771 recorded pair observations · 0.52 pair observations per 100 analyzed battles
47.6%
Dragapult
Dragapult747 recorded pair observations · 0.50 pair observations per 100 analyzed battles
50.5%
Corviknight
Corviknight726 recorded pair observations · 0.49 pair observations per 100 analyzed battles
44.9%
Zamazenta-*
Zamazenta-*719 recorded pair observations · 0.48 pair observations per 100 analyzed battles
41.2%
Iron Valiant
Iron Valiant710 recorded pair observations · 0.48 pair observations per 100 analyzed battles
44.8%
Ogerpon-Wellspring
Ogerpon-Wellspring691 recorded pair observations · 0.46 pair observations per 100 analyzed battles
44.0%
Hatterene
Hatterene595 recorded pair observations · 0.40 pair observations per 100 analyzed battles
47.2%
Slowking-Galar
Slowking-Galar591 recorded pair observations · 0.40 pair observations per 100 analyzed battles
48.6%
Cinderace
Cinderace558 recorded pair observations · 0.37 pair observations per 100 analyzed battles
47.1%
Alomomola
Alomomola555 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.0%
Raging Bolt
Raging Bolt554 recorded pair observations · 0.37 pair observations per 100 analyzed battles
40.2%
Kyurem
Kyurem492 recorded pair observations · 0.33 pair observations per 100 analyzed battles
43.5%
Iron Treads
Iron Treads479 recorded pair observations · 0.32 pair observations per 100 analyzed battles
45.7%
Landorus-Therian
Landorus-Therian479 recorded pair observations · 0.32 pair observations per 100 analyzed battles
47.2%
Samurott-Hisui
Samurott-Hisui473 recorded pair observations · 0.32 pair observations per 100 analyzed battles
48.6%
Ceruledge
Ceruledge465 recorded pair observations · 0.31 pair observations per 100 analyzed battles
46.2%

Higher Win-rate Partners

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

Excadrill
Excadrill145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
60.7%
Zapdos
Zapdos338 recorded pair observations · 0.23 pair observations per 100 analyzed battles
57.7%
Rillaboom
Rillaboom373 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.4%
Zamazenta-*
Zamazenta-*272 recorded pair observations · 0.18 pair observations per 100 analyzed battles
53.7%
Kingdra
Kingdra236 recorded pair observations · 0.16 pair observations per 100 analyzed battles
53.4%
Darkrai
Darkrai211 recorded pair observations · 0.14 pair observations per 100 analyzed battles
53.1%
Great Tusk
Great Tusk239 recorded pair observations · 0.16 pair observations per 100 analyzed battles
53.1%
Cinderace
Cinderace310 recorded pair observations · 0.21 pair observations per 100 analyzed battles
52.6%
Landorus-Therian
Landorus-Therian400 recorded pair observations · 0.27 pair observations per 100 analyzed battles
52.5%
Primarina
Primarina275 recorded pair observations · 0.18 pair observations per 100 analyzed battles
52.4%

Lower Win-rate Partners

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

Tinkaton
Tinkaton287 recorded pair observations · 0.19 pair observations per 100 analyzed battles
39.0%
Weezing-Galar
Weezing-Galar155 recorded pair observations · 0.10 pair observations per 100 analyzed battles
39.4%
Serperior
Serperior148 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.2%
Blaziken
Blaziken207 recorded pair observations · 0.14 pair observations per 100 analyzed battles
43.0%
Alomomola
Alomomola183 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.2%
Heatran
Heatran143 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.4%
Ribombee
Ribombee185 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.3%
Clefable
Clefable178 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.4%
Ceruledge
Ceruledge706 recorded pair observations · 0.47 pair observations per 100 analyzed battles
44.6%
Cloyster
Cloyster186 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.6%

Higher Win-rate Opponent Teams

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

Excadrill
Excadrill156 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.5%
Greninja-*
Greninja-*175 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.7%
Tyranitar
Tyranitar201 recorded pair observations · 0.13 pair observations per 100 analyzed battles
53.7%
Pelipper
Pelipper207 recorded pair observations · 0.14 pair observations per 100 analyzed battles
52.2%
Tornadus-Therian
Tornadus-Therian167 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.5%
Ursaluna
Ursaluna163 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.5%
Dragapult
Dragapult747 recorded pair observations · 0.50 pair observations per 100 analyzed battles
50.5%
Darkrai
Darkrai442 recorded pair observations · 0.30 pair observations per 100 analyzed battles
50.2%
Lokix
Lokix174 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.0%
Blaziken
Blaziken185 recorded pair observations · 0.12 pair observations per 100 analyzed battles
49.7%

Lower Win-rate Opponent Teams

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

Dondozo
Dondozo241 recorded pair observations · 0.16 pair observations per 100 analyzed battles
38.2%
Zapdos
Zapdos356 recorded pair observations · 0.24 pair observations per 100 analyzed battles
39.6%
Raging Bolt
Raging Bolt554 recorded pair observations · 0.37 pair observations per 100 analyzed battles
40.2%
Zamazenta-*
Zamazenta-*719 recorded pair observations · 0.48 pair observations per 100 analyzed battles
41.2%
Hawlucha
Hawlucha145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.4%
Enamorus
Enamorus187 recorded pair observations · 0.13 pair observations per 100 analyzed battles
42.2%
Pecharunt
Pecharunt338 recorded pair observations · 0.23 pair observations per 100 analyzed battles
42.3%
Iron Crown
Iron Crown179 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.5%
Toxapex
Toxapex221 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.5%
Walking Wake
Walking Wake358 recorded pair observations · 0.24 pair observations per 100 analyzed battles
43.0%