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

Araquanid

Tier D

OU (Over Used)

1.94%Usage Rate
52.58%Win Rate
55.91%Lead Rate
1271Avg Rating

5806 recorded team appearances · 3053 wins · 2753 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Sticky Web Recorded use in 2693 of 5806 distinct recorded team appearances (46.4%) 1490 winning team uses of 2693 recorded team uses
55.3%
Liquidation Recorded use in 1596 of 5806 distinct recorded team appearances (27.5%) 836 winning team uses of 1596 recorded team uses
52.4%
Surf Recorded use in 962 of 5806 distinct recorded team appearances (16.6%) 553 winning team uses of 962 recorded team uses
57.5%
Endeavor Recorded use in 608 of 5806 distinct recorded team appearances (10.5%) 354 winning team uses of 608 recorded team uses
58.2%
Lunge Recorded use in 470 of 5806 distinct recorded team appearances (8.1%) 287 winning team uses of 470 recorded team uses
61.1%
Leech Life Recorded use in 461 of 5806 distinct recorded team appearances (7.9%) 246 winning team uses of 461 recorded team uses
53.4%
Endure Recorded use in 390 of 5806 distinct recorded team appearances (6.7%) 190 winning team uses of 390 recorded team uses
48.7%
Mirror Coat Recorded use in 295 of 5806 distinct recorded team appearances (5.1%) 156 winning team uses of 295 recorded team uses
52.9%
Infestation Recorded use in 149 of 5806 distinct recorded team appearances (2.6%) 68 winning team uses of 149 recorded team uses
45.6%
Hydro Pump Recorded use in 80 of 5806 distinct recorded team appearances (1.4%) 38 winning team uses of 80 recorded team uses
47.5%

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 2.03 51.42 74642 1513 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.01 53.06 74642 1504 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 1.81 53.66 74640 1351 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 1.93 52.29 74640 1438 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.41 55.24 60200 849 Observed
~R1156 1.69 52.04 59416 1003 Observed
~R1268 2.36 52.49 59484 1406 Observed
~R1398 2.01 51.04 59960 1207 Observed
R1398~ 2.25 52.80 59504 1341 Observed

Araquanid Observed Statistics

Performance Metrics

Araquanid has a reported usage rate of 1.94% and win rate of 52.58% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 3,053 wins and 2,753 losses (5,806 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 2.03% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 1.93% 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 -0.10 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 51.42% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=1,513 recorded appearances) and 52.29% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,438 recorded appearances), a change of +0.87 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 1.41% (~R1084; n=60,200 team slots) to 2.36% (~R1268; n=59,484 team slots), a spread of 0.95 percentage points. Overall usage was 1.94%. 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, Sticky Web has the largest recorded team-use count (2,693; 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: 56.5% wins in 1,972 recorded pair observations; Kingambit: 56.2% wins in 1,607 recorded pair observations; Great Tusk: 56.3% wins in 1,530 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: Ninetales: 60.8% wins in 181 recorded pair observations; Greninja-*: 59.9% wins in 162 recorded pair observations; Venusaur: 59.9% wins in 142 recorded pair observations. Returned lower-win-rate opponent group: Tornadus-Therian: 42.9% wins in 219 recorded pair observations; Raging Bolt: 43.6% wins in 725 recorded pair observations; Glimmora: 45.5% wins in 549 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
Gholdengo1972 recorded pair observations · 1.32 pair observations per 100 analyzed battles
56.5%
Kingambit
Kingambit1607 recorded pair observations · 1.08 pair observations per 100 analyzed battles
56.2%
Great Tusk
Great Tusk1530 recorded pair observations · 1.02 pair observations per 100 analyzed battles
56.3%
Iron Treads
Iron Treads1107 recorded pair observations · 0.74 pair observations per 100 analyzed battles
55.2%
Iron Moth
Iron Moth1091 recorded pair observations · 0.73 pair observations per 100 analyzed battles
57.1%
Enamorus
Enamorus958 recorded pair observations · 0.64 pair observations per 100 analyzed battles
56.3%
Iron Valiant
Iron Valiant946 recorded pair observations · 0.63 pair observations per 100 analyzed battles
57.6%
Raging Bolt
Raging Bolt939 recorded pair observations · 0.63 pair observations per 100 analyzed battles
57.9%
Dragonite
Dragonite797 recorded pair observations · 0.53 pair observations per 100 analyzed battles
56.7%
Cinderace
Cinderace784 recorded pair observations · 0.53 pair observations per 100 analyzed battles
51.0%
Glimmora
Glimmora579 recorded pair observations · 0.39 pair observations per 100 analyzed battles
55.3%
Ceruledge
Ceruledge528 recorded pair observations · 0.35 pair observations per 100 analyzed battles
55.5%
Serperior
Serperior460 recorded pair observations · 0.31 pair observations per 100 analyzed battles
54.1%
Hoopa-Unbound
Hoopa-Unbound424 recorded pair observations · 0.28 pair observations per 100 analyzed battles
55.4%
Scizor
Scizor369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
47.4%
Zamazenta-*
Zamazenta-*320 recorded pair observations · 0.21 pair observations per 100 analyzed battles
52.8%
Lokix
Lokix307 recorded pair observations · 0.21 pair observations per 100 analyzed battles
42.7%
Dragapult
Dragapult303 recorded pair observations · 0.20 pair observations per 100 analyzed battles
49.8%
Toxtricity
Toxtricity299 recorded pair observations · 0.20 pair observations per 100 analyzed battles
57.5%
Alomomola
Alomomola295 recorded pair observations · 0.20 pair observations per 100 analyzed battles
53.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1606 recorded pair observations · 1.08 pair observations per 100 analyzed battles
50.9%
Gholdengo
Gholdengo1255 recorded pair observations · 0.84 pair observations per 100 analyzed battles
53.5%
Kingambit
Kingambit1190 recorded pair observations · 0.80 pair observations per 100 analyzed battles
48.5%
Dragonite
Dragonite911 recorded pair observations · 0.61 pair observations per 100 analyzed battles
51.9%
Ogerpon-Wellspring
Ogerpon-Wellspring847 recorded pair observations · 0.57 pair observations per 100 analyzed battles
49.4%
Zamazenta-*
Zamazenta-*808 recorded pair observations · 0.54 pair observations per 100 analyzed battles
48.4%
Corviknight
Corviknight800 recorded pair observations · 0.54 pair observations per 100 analyzed battles
51.4%
Gliscor
Gliscor788 recorded pair observations · 0.53 pair observations per 100 analyzed battles
56.2%
Dragapult
Dragapult782 recorded pair observations · 0.52 pair observations per 100 analyzed battles
53.5%
Iron Valiant
Iron Valiant779 recorded pair observations · 0.52 pair observations per 100 analyzed battles
51.1%
Raging Bolt
Raging Bolt725 recorded pair observations · 0.49 pair observations per 100 analyzed battles
43.6%
Hatterene
Hatterene662 recorded pair observations · 0.44 pair observations per 100 analyzed battles
50.3%
Slowking-Galar
Slowking-Galar613 recorded pair observations · 0.41 pair observations per 100 analyzed battles
50.2%
Cinderace
Cinderace602 recorded pair observations · 0.40 pair observations per 100 analyzed battles
51.3%
Alomomola
Alomomola591 recorded pair observations · 0.40 pair observations per 100 analyzed battles
53.1%
Samurott-Hisui
Samurott-Hisui578 recorded pair observations · 0.39 pair observations per 100 analyzed battles
51.4%
Landorus-Therian
Landorus-Therian576 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.3%
Glimmora
Glimmora549 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.5%
Iron Treads
Iron Treads544 recorded pair observations · 0.36 pair observations per 100 analyzed battles
50.7%
Kyurem
Kyurem534 recorded pair observations · 0.36 pair observations per 100 analyzed battles
49.1%

Higher Win-rate Partners

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

Iron Crown
Iron Crown239 recorded pair observations · 0.16 pair observations per 100 analyzed battles
61.9%
Weavile
Weavile191 recorded pair observations · 0.13 pair observations per 100 analyzed battles
58.6%
Garchomp
Garchomp191 recorded pair observations · 0.13 pair observations per 100 analyzed battles
58.1%
Raging Bolt
Raging Bolt939 recorded pair observations · 0.63 pair observations per 100 analyzed battles
57.9%
Iron Valiant
Iron Valiant946 recorded pair observations · 0.63 pair observations per 100 analyzed battles
57.6%
Toxtricity
Toxtricity299 recorded pair observations · 0.20 pair observations per 100 analyzed battles
57.5%
Hydreigon
Hydreigon176 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.4%
Iron Moth
Iron Moth1091 recorded pair observations · 0.73 pair observations per 100 analyzed battles
57.1%
Dragonite
Dragonite797 recorded pair observations · 0.53 pair observations per 100 analyzed battles
56.7%
Gholdengo
Gholdengo1972 recorded pair observations · 1.32 pair observations per 100 analyzed battles
56.5%

Lower Win-rate Partners

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

Lokix
Lokix307 recorded pair observations · 0.21 pair observations per 100 analyzed battles
42.7%
Forretress
Forretress221 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.7%
Yanmega
Yanmega168 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.8%
Clefable
Clefable154 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.1%
Corviknight
Corviknight151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.4%
Hatterene
Hatterene179 recorded pair observations · 0.12 pair observations per 100 analyzed battles
46.4%
Gliscor
Gliscor213 recorded pair observations · 0.14 pair observations per 100 analyzed battles
46.5%
Scizor
Scizor369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
47.4%
Deoxys-Speed
Deoxys-Speed176 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.7%
Samurott-Hisui
Samurott-Hisui172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.7%

Higher Win-rate Opponent Teams

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

Ninetales
Ninetales181 recorded pair observations · 0.12 pair observations per 100 analyzed battles
60.8%
Greninja-*
Greninja-*162 recorded pair observations · 0.11 pair observations per 100 analyzed battles
59.9%
Venusaur
Venusaur142 recorded pair observations · 0.10 pair observations per 100 analyzed battles
59.9%
Rotom-Wash
Rotom-Wash155 recorded pair observations · 0.10 pair observations per 100 analyzed battles
59.4%
Excadrill
Excadrill146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
58.9%
Blaziken
Blaziken172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.0%
Hoopa-Unbound
Hoopa-Unbound153 recorded pair observations · 0.10 pair observations per 100 analyzed battles
56.9%
Garganacl
Garganacl320 recorded pair observations · 0.21 pair observations per 100 analyzed battles
56.6%
Clefable
Clefable328 recorded pair observations · 0.22 pair observations per 100 analyzed battles
56.4%
Gliscor
Gliscor788 recorded pair observations · 0.53 pair observations per 100 analyzed battles
56.2%

Lower Win-rate Opponent Teams

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

Tornadus-Therian
Tornadus-Therian219 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.9%
Raging Bolt
Raging Bolt725 recorded pair observations · 0.49 pair observations per 100 analyzed battles
43.6%
Glimmora
Glimmora549 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.5%
Pelipper
Pelipper244 recorded pair observations · 0.16 pair observations per 100 analyzed battles
46.3%
Lokix
Lokix195 recorded pair observations · 0.13 pair observations per 100 analyzed battles
47.2%
Clodsire
Clodsire198 recorded pair observations · 0.13 pair observations per 100 analyzed battles
47.5%
Serperior
Serperior147 recorded pair observations · 0.10 pair observations per 100 analyzed battles
47.6%
Torkoal
Torkoal182 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.8%
Landorus-Therian
Landorus-Therian576 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.3%
Zamazenta-*
Zamazenta-*808 recorded pair observations · 0.54 pair observations per 100 analyzed battles
48.4%