Last Updated: 10/19/2026 11:04 [UTC]

Quaquaval

Tier E

BSS Regulation M-C (Pokemon Champions)

1.09%Usage Rate
46.58%Win Rate
12.23%Lead Rate
32.01%Selection Rate
1145Avg Rating

556 recorded team appearances · 259 wins · 297 losses · 10/05/2026–10/19/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Aqua Step Recorded use in 118 of 556 distinct recorded team appearances (21.2%) 48 winning team uses of 118 recorded team uses
40.7%
Close Combat Recorded use in 49 of 556 distinct recorded team appearances (8.8%) 24 winning team uses of 49 recorded team uses
49.0%
Triple Axel Recorded use in 27 of 556 distinct recorded team appearances (4.9%) 10 winning team uses of 27 recorded team uses
37.0%
Aqua Jet Recorded use in 15 of 556 distinct recorded team appearances (2.7%) 9 winning team uses of 15 recorded team uses
60.0%

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: 2026/10/05 11:01–2026/10/10 12:13 UTC 1.87 51.68 12744 238 Observed
Period 2: 2026/10/10 12:14–2026/10/13 08:24 UTC 1.23 47.13 12744 157 Observed
Period 3: 2026/10/13 08:24–2026/10/16 12:38 UTC 0.39 32.00 12744 50 Observed
Period 4: 2026/10/16 12:38–2026/10/19 10:58 UTC 0.87 41.44 12742 111 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1088 1.42 50.35 10084 143 Observed
~R1140 1.41 49.31 10188 144 Observed
~R1202 1.28 46.92 10160 130 Observed
~R1284 0.78 32.91 10192 79 Observed
R1284~ 0.58 48.33 10350 60 Observed

Quaquaval Observed Statistics

Performance Metrics

Quaquaval has a reported usage rate of 1.09% and win rate of 46.58% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/05/2026 to 10/19/2026 (UTC), with 25,487 recorded battles. 259 wins and 297 losses (556 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 1.87% in the first available period (Period 1: 2026/10/05 11:01–2026/10/10 12:13 UTC; n=12,744 team slots) and 0.87% in the last available period (Period 4: 2026/10/16 12:38–2026/10/19 10:58 UTC; n=12,742 team slots), a change of -1.00 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 51.68% in the first available period (Period 1: 2026/10/05 11:01–2026/10/10 12:13 UTC; n=238 recorded appearances) and 41.44% in the last available period (Period 4: 2026/10/16 12:38–2026/10/19 10:58 UTC; n=111 recorded appearances), a change of -10.24 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 0.58% (R1284~; n=10,350 team slots) to 1.42% (~R1088; n=10,084 team slots), a spread of 0.84 percentage points. Overall usage was 1.09%. 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 (118; 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: Archaludon: 50.3% wins in 179 recorded pair observations; Mimikyu: 51.2% wins in 127 recorded pair observations; Garchomp: 47.8% wins in 113 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: Raichu: 63.0% wins in 27 recorded pair observations; Rillaboom: 62.3% wins in 53 recorded pair observations; Pawmot: 61.1% wins in 36 recorded pair observations. Returned lower-win-rate opponent group: Dragonite: 36.6% wins in 41 recorded pair observations; Salamence: 36.7% wins in 98 recorded pair observations; Lucario: 37.0% wins in 54 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%

Archaludon
Archaludon179 recorded pair observations · 0.70 pair observations per 100 analyzed battles
50.3%
Mimikyu
Mimikyu127 recorded pair observations · 0.50 pair observations per 100 analyzed battles
51.2%
Garchomp
Garchomp113 recorded pair observations · 0.44 pair observations per 100 analyzed battles
47.8%
Basculegion
Basculegion110 recorded pair observations · 0.43 pair observations per 100 analyzed battles
51.8%
Mawile
Mawile106 recorded pair observations · 0.42 pair observations per 100 analyzed battles
50.9%
Blaziken
Blaziken91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
40.7%
Meowscarada
Meowscarada78 recorded pair observations · 0.31 pair observations per 100 analyzed battles
43.6%
Lucario
Lucario77 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.8%
Glimmora
Glimmora73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
52.0%
Pelipper
Pelipper69 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.3%
Baxcalibur
Baxcalibur64 recorded pair observations · 0.25 pair observations per 100 analyzed battles
53.1%
Gholdengo
Gholdengo62 recorded pair observations · 0.24 pair observations per 100 analyzed battles
54.8%
Ninetales-Alola
Ninetales-Alola58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
39.7%
Golisopod
Golisopod57 recorded pair observations · 0.22 pair observations per 100 analyzed battles
43.9%
Rillaboom
Rillaboom55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
54.5%
Floette-Eternal
Floette-Eternal51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
45.1%
Beedrill
Beedrill45 recorded pair observations · 0.18 pair observations per 100 analyzed battles
35.6%
Dragapult
Dragapult45 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.9%
Skeledirge
Skeledirge44 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.5%
Charizard
Charizard41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
46.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp176 recorded pair observations · 0.69 pair observations per 100 analyzed battles
43.2%
Archaludon
Archaludon152 recorded pair observations · 0.60 pair observations per 100 analyzed battles
39.5%
Primarina
Primarina116 recorded pair observations · 0.46 pair observations per 100 analyzed battles
37.1%
Gholdengo
Gholdengo102 recorded pair observations · 0.40 pair observations per 100 analyzed battles
39.2%
Golisopod
Golisopod101 recorded pair observations · 0.40 pair observations per 100 analyzed battles
45.5%
Salamence
Salamence98 recorded pair observations · 0.38 pair observations per 100 analyzed battles
36.7%
Mimikyu
Mimikyu96 recorded pair observations · 0.38 pair observations per 100 analyzed battles
37.5%
Corviknight
Corviknight89 recorded pair observations · 0.35 pair observations per 100 analyzed battles
42.7%
Baxcalibur
Baxcalibur86 recorded pair observations · 0.34 pair observations per 100 analyzed battles
41.9%
Basculegion
Basculegion79 recorded pair observations · 0.31 pair observations per 100 analyzed battles
49.4%
Charizard
Charizard78 recorded pair observations · 0.31 pair observations per 100 analyzed battles
46.1%
Hippowdon
Hippowdon69 recorded pair observations · 0.27 pair observations per 100 analyzed battles
37.7%
Gengar
Gengar60 recorded pair observations · 0.24 pair observations per 100 analyzed battles
50.0%
Lucario
Lucario54 recorded pair observations · 0.21 pair observations per 100 analyzed battles
37.0%
Metagross
Metagross54 recorded pair observations · 0.21 pair observations per 100 analyzed battles
37.0%
Rillaboom
Rillaboom53 recorded pair observations · 0.21 pair observations per 100 analyzed battles
62.3%
Glimmora
Glimmora50 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.0%
Kingambit
Kingambit48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
56.2%
Clefable
Clefable46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
41.3%
Meowscarada
Meowscarada43 recorded pair observations · 0.17 pair observations per 100 analyzed battles
46.5%

Higher Win-rate Partners

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

Golurk
Golurk25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
60.0%
Aegislash
Aegislash26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
57.7%
Gholdengo
Gholdengo62 recorded pair observations · 0.24 pair observations per 100 analyzed battles
54.8%
Rillaboom
Rillaboom55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
54.5%
Skeledirge
Skeledirge44 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.5%
Baxcalibur
Baxcalibur64 recorded pair observations · 0.25 pair observations per 100 analyzed battles
53.1%
Glimmora
Glimmora73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
52.0%
Meganium
Meganium25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.0%
Basculegion
Basculegion110 recorded pair observations · 0.43 pair observations per 100 analyzed battles
51.8%
Mimikyu
Mimikyu127 recorded pair observations · 0.50 pair observations per 100 analyzed battles
51.2%

Lower Win-rate Partners

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

Metagross
Metagross36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
30.6%
Toxapex
Toxapex26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
34.6%
Beedrill
Beedrill45 recorded pair observations · 0.18 pair observations per 100 analyzed battles
35.6%
Malamar
Malamar36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
36.1%
Ninetales-Alola
Ninetales-Alola58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
39.7%
Blaziken
Blaziken91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
40.7%
Rotom-Wash
Rotom-Wash26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.3%
Corviknight
Corviknight33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
42.4%
Meowscarada
Meowscarada78 recorded pair observations · 0.31 pair observations per 100 analyzed battles
43.6%
Swampert
Swampert39 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.6%

Higher Win-rate Opponent Teams

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

Raichu
Raichu27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
63.0%
Rillaboom
Rillaboom53 recorded pair observations · 0.21 pair observations per 100 analyzed battles
62.3%
Pawmot
Pawmot36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
61.1%
Palafin
Palafin27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
59.3%
Dragalge
Dragalge32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
56.2%
Kingambit
Kingambit48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
56.2%
Delphox
Delphox35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.3%
Blaziken
Blaziken37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
54.0%
Ninetales-Alola
Ninetales-Alola41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
53.7%
Umbreon
Umbreon35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.4%

Lower Win-rate Opponent Teams

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

Dragonite
Dragonite41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
36.6%
Salamence
Salamence98 recorded pair observations · 0.38 pair observations per 100 analyzed battles
36.7%
Lucario
Lucario54 recorded pair observations · 0.21 pair observations per 100 analyzed battles
37.0%
Metagross
Metagross54 recorded pair observations · 0.21 pair observations per 100 analyzed battles
37.0%
Scizor
Scizor27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
37.0%
Primarina
Primarina116 recorded pair observations · 0.46 pair observations per 100 analyzed battles
37.1%
Mimikyu
Mimikyu96 recorded pair observations · 0.38 pair observations per 100 analyzed battles
37.5%
Hippowdon
Hippowdon69 recorded pair observations · 0.27 pair observations per 100 analyzed battles
37.7%
Gholdengo
Gholdengo102 recorded pair observations · 0.40 pair observations per 100 analyzed battles
39.2%
Aegislash
Aegislash33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
39.4%