Last Updated: 10/10/2026 14:09 [UTC]

Barraskewda

Tier D

OU (Over Used)

2.28%Usage Rate
51.28%Win Rate
8.68%Lead Rate
1247Avg Rating

6810 recorded team appearances · 3492 wins · 3318 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Liquidation Recorded use in 2314 of 6810 distinct recorded team appearances (34.0%) 1182 winning team uses of 2314 recorded team uses
51.1%
Flip Turn Recorded use in 1651 of 6810 distinct recorded team appearances (24.2%) 880 winning team uses of 1651 recorded team uses
53.3%
Close Combat Recorded use in 1038 of 6810 distinct recorded team appearances (15.2%) 462 winning team uses of 1038 recorded team uses
44.5%
Aqua Jet Recorded use in 563 of 6810 distinct recorded team appearances (8.3%) 307 winning team uses of 563 recorded team uses
54.5%
Poison Jab Recorded use in 262 of 6810 distinct recorded team appearances (3.8%) 131 winning team uses of 262 recorded team uses
50.0%
Waterfall Recorded use in 201 of 6810 distinct recorded team appearances (3.0%) 107 winning team uses of 201 recorded team uses
53.2%
Psychic Fangs Recorded use in 115 of 6810 distinct recorded team appearances (1.7%) 58 winning team uses of 115 recorded team uses
50.4%
Drill Run Recorded use in 51 of 6810 distinct recorded team appearances (0.7%) 16 winning team uses of 51 recorded team uses
31.4%
Crunch Recorded use in 48 of 6810 distinct recorded team appearances (0.7%) 21 winning team uses of 48 recorded team uses
43.8%
Ice Fang Recorded use in 34 of 6810 distinct recorded team appearances (0.5%) 18 winning team uses of 34 recorded team uses
52.9%

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 2.11 51.40 74642 1574 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.18 52.03 74642 1626 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 2.36 50.11 74640 1764 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.47 51.63 74640 1846 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.82 56.57 60200 1096 Observed
~R1156 2.44 51.41 59416 1449 Observed
~R1268 2.49 49.12 59484 1484 Observed
~R1398 2.40 51.46 59960 1442 Observed
R1398~ 2.25 48.99 59504 1339 Observed

Barraskewda Observed Statistics

Performance Metrics

Barraskewda has a reported usage rate of 2.28% and win rate of 51.28% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 3,492 wins and 3,318 losses (6,810 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 2.11% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.47% 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 +0.36 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 51.40% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=1,574 recorded appearances) and 51.63% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,846 recorded appearances), a change of +0.23 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 1.82% (~R1084; n=60,200 team slots) to 2.49% (~R1268; n=59,484 team slots), a spread of 0.67 percentage points. Overall usage was 2.28%. 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, Liquidation has the largest recorded team-use count (2,314; 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: Pelipper: 52.0% wins in 6,316 recorded pair observations; Iron Treads: 55.2% wins in 2,929 recorded pair observations; Raging Bolt: 54.4% wins in 2,886 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: Serperior: 59.6% wins in 171 recorded pair observations; Clefable: 58.7% wins in 390 recorded pair observations; Scizor: 57.3% wins in 328 recorded pair observations. Returned lower-win-rate opponent group: Raging Bolt: 40.5% wins in 804 recorded pair observations; Blissey: 42.3% wins in 182 recorded pair observations; Heatran: 42.9% wins in 252 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%

Pelipper
Pelipper6316 recorded pair observations · 4.23 pair observations per 100 analyzed battles
52.0%
Iron Treads
Iron Treads2929 recorded pair observations · 1.96 pair observations per 100 analyzed battles
55.2%
Raging Bolt
Raging Bolt2886 recorded pair observations · 1.93 pair observations per 100 analyzed battles
54.4%
Zapdos
Zapdos1369 recorded pair observations · 0.92 pair observations per 100 analyzed battles
50.5%
Kingambit
Kingambit1168 recorded pair observations · 0.78 pair observations per 100 analyzed battles
52.0%
Toxicroak
Toxicroak1149 recorded pair observations · 0.77 pair observations per 100 analyzed battles
53.5%
Overqwil
Overqwil920 recorded pair observations · 0.62 pair observations per 100 analyzed battles
55.5%
Hatterene
Hatterene741 recorded pair observations · 0.50 pair observations per 100 analyzed battles
52.4%
Kingdra
Kingdra712 recorded pair observations · 0.48 pair observations per 100 analyzed battles
53.5%
Ogerpon-Wellspring
Ogerpon-Wellspring708 recorded pair observations · 0.47 pair observations per 100 analyzed battles
52.4%
Great Tusk
Great Tusk686 recorded pair observations · 0.46 pair observations per 100 analyzed battles
46.6%
Corviknight
Corviknight439 recorded pair observations · 0.29 pair observations per 100 analyzed battles
51.5%
Scizor
Scizor431 recorded pair observations · 0.29 pair observations per 100 analyzed battles
51.7%
Politoed
Politoed420 recorded pair observations · 0.28 pair observations per 100 analyzed battles
50.2%
Ludicolo
Ludicolo377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.1%
Excadrill
Excadrill367 recorded pair observations · 0.25 pair observations per 100 analyzed battles
50.1%
Tentacruel
Tentacruel349 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.3%
Tornadus-Therian
Tornadus-Therian322 recorded pair observations · 0.22 pair observations per 100 analyzed battles
59.6%
Kilowattrel
Kilowattrel303 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.2%
Dragapult
Dragapult285 recorded pair observations · 0.19 pair observations per 100 analyzed battles
46.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1906 recorded pair observations · 1.28 pair observations per 100 analyzed battles
48.2%
Gholdengo
Gholdengo1428 recorded pair observations · 0.96 pair observations per 100 analyzed battles
50.4%
Kingambit
Kingambit1364 recorded pair observations · 0.91 pair observations per 100 analyzed battles
48.0%
Ogerpon-Wellspring
Ogerpon-Wellspring978 recorded pair observations · 0.66 pair observations per 100 analyzed battles
47.0%
Dragonite
Dragonite949 recorded pair observations · 0.64 pair observations per 100 analyzed battles
48.5%
Zamazenta-*
Zamazenta-*943 recorded pair observations · 0.63 pair observations per 100 analyzed battles
48.7%
Dragapult
Dragapult939 recorded pair observations · 0.63 pair observations per 100 analyzed battles
52.2%
Iron Valiant
Iron Valiant911 recorded pair observations · 0.61 pair observations per 100 analyzed battles
50.3%
Gliscor
Gliscor909 recorded pair observations · 0.61 pair observations per 100 analyzed battles
53.6%
Corviknight
Corviknight851 recorded pair observations · 0.57 pair observations per 100 analyzed battles
52.3%
Raging Bolt
Raging Bolt804 recorded pair observations · 0.54 pair observations per 100 analyzed battles
40.5%
Alomomola
Alomomola755 recorded pair observations · 0.51 pair observations per 100 analyzed battles
47.3%
Cinderace
Cinderace754 recorded pair observations · 0.51 pair observations per 100 analyzed battles
51.6%
Slowking-Galar
Slowking-Galar743 recorded pair observations · 0.50 pair observations per 100 analyzed battles
47.0%
Hatterene
Hatterene726 recorded pair observations · 0.49 pair observations per 100 analyzed battles
48.5%
Landorus-Therian
Landorus-Therian698 recorded pair observations · 0.47 pair observations per 100 analyzed battles
48.1%
Samurott-Hisui
Samurott-Hisui669 recorded pair observations · 0.45 pair observations per 100 analyzed battles
51.7%
Kyurem
Kyurem644 recorded pair observations · 0.43 pair observations per 100 analyzed battles
44.9%
Glimmora
Glimmora617 recorded pair observations · 0.41 pair observations per 100 analyzed battles
51.9%
Iron Treads
Iron Treads606 recorded pair observations · 0.41 pair observations per 100 analyzed battles
51.2%

Higher Win-rate Partners

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

Tornadus-Therian
Tornadus-Therian322 recorded pair observations · 0.22 pair observations per 100 analyzed battles
59.6%
Talonflame
Talonflame244 recorded pair observations · 0.16 pair observations per 100 analyzed battles
55.7%
Overqwil
Overqwil920 recorded pair observations · 0.62 pair observations per 100 analyzed battles
55.5%
Iron Treads
Iron Treads2929 recorded pair observations · 1.96 pair observations per 100 analyzed battles
55.2%
Amoonguss
Amoonguss190 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.7%
Raging Bolt
Raging Bolt2886 recorded pair observations · 1.93 pair observations per 100 analyzed battles
54.4%
Ludicolo
Ludicolo377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.1%
Primarina
Primarina278 recorded pair observations · 0.19 pair observations per 100 analyzed battles
54.0%
Walking Wake
Walking Wake248 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.0%
Gholdengo
Gholdengo206 recorded pair observations · 0.14 pair observations per 100 analyzed battles
53.9%

Lower Win-rate Partners

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

Serperior
Serperior149 recorded pair observations · 0.10 pair observations per 100 analyzed battles
36.9%
Gliscor
Gliscor190 recorded pair observations · 0.13 pair observations per 100 analyzed battles
40.5%
Glimmora
Glimmora178 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.0%
Basculegion
Basculegion253 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.3%
Rillaboom
Rillaboom196 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.4%
Dragapult
Dragapult285 recorded pair observations · 0.19 pair observations per 100 analyzed battles
46.0%
Great Tusk
Great Tusk686 recorded pair observations · 0.46 pair observations per 100 analyzed battles
46.6%
Pawmot
Pawmot229 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.7%
Golduck
Golduck256 recorded pair observations · 0.17 pair observations per 100 analyzed battles
47.3%
Tentacruel
Tentacruel349 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.3%

Higher Win-rate Opponent Teams

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

Serperior
Serperior171 recorded pair observations · 0.11 pair observations per 100 analyzed battles
59.6%
Clefable
Clefable390 recorded pair observations · 0.26 pair observations per 100 analyzed battles
58.7%
Scizor
Scizor328 recorded pair observations · 0.22 pair observations per 100 analyzed battles
57.3%
Garchomp
Garchomp397 recorded pair observations · 0.27 pair observations per 100 analyzed battles
54.4%
Weavile
Weavile184 recorded pair observations · 0.12 pair observations per 100 analyzed battles
54.4%
Gliscor
Gliscor909 recorded pair observations · 0.61 pair observations per 100 analyzed battles
53.6%
Blaziken
Blaziken200 recorded pair observations · 0.13 pair observations per 100 analyzed battles
53.5%
Ceruledge
Ceruledge583 recorded pair observations · 0.39 pair observations per 100 analyzed battles
53.5%
Enamorus
Enamorus226 recorded pair observations · 0.15 pair observations per 100 analyzed battles
53.5%
Meowscarada
Meowscarada316 recorded pair observations · 0.21 pair observations per 100 analyzed battles
53.5%

Lower Win-rate Opponent Teams

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

Raging Bolt
Raging Bolt804 recorded pair observations · 0.54 pair observations per 100 analyzed battles
40.5%
Blissey
Blissey182 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.3%
Heatran
Heatran252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
42.9%
Ninetales-Alola
Ninetales-Alola157 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.0%
Kyurem
Kyurem644 recorded pair observations · 0.43 pair observations per 100 analyzed battles
44.9%
Rillaboom
Rillaboom530 recorded pair observations · 0.36 pair observations per 100 analyzed battles
45.1%
Clodsire
Clodsire237 recorded pair observations · 0.16 pair observations per 100 analyzed battles
46.0%
Torkoal
Torkoal211 recorded pair observations · 0.14 pair observations per 100 analyzed battles
46.5%
Ogerpon-Wellspring
Ogerpon-Wellspring978 recorded pair observations · 0.66 pair observations per 100 analyzed battles
47.0%
Slowking-Galar
Slowking-Galar743 recorded pair observations · 0.50 pair observations per 100 analyzed battles
47.0%