Last Updated: 10/26/2026 11:03 [UTC]

Rotom-Wash

Tier D

BSS Regulation M-C (Pokemon Champions)

5.53%Usage Rate
48.77%Win Rate
23.36%Lead Rate
45.13%Selection Rate
1177Avg Rating

2774 recorded team appearances · 1353 wins · 1421 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Volt Switch Recorded use in 551 of 2774 distinct recorded team appearances (19.9%) 289 winning team uses of 551 recorded team uses
52.5%
Hydro Pump Recorded use in 513 of 2774 distinct recorded team appearances (18.5%) 246 winning team uses of 513 recorded team uses
48.0%
Will-O-Wisp Recorded use in 398 of 2774 distinct recorded team appearances (14.3%) 207 winning team uses of 398 recorded team uses
52.0%
Thunderbolt Recorded use in 305 of 2774 distinct recorded team appearances (11.0%) 158 winning team uses of 305 recorded team uses
51.8%
Pain Split Recorded use in 102 of 2774 distinct recorded team appearances (3.7%) 41 winning team uses of 102 recorded team uses
40.2%
Trick Recorded use in 94 of 2774 distinct recorded team appearances (3.4%) 40 winning team uses of 94 recorded team uses
42.6%
Discharge Recorded use in 27 of 2774 distinct recorded team appearances (1.0%) 12 winning team uses of 27 recorded team uses
44.4%
Thunder Wave Recorded use in 17 of 2774 distinct recorded team appearances (0.6%) 10 winning team uses of 17 recorded team uses
58.8%
Protect Recorded use in 14 of 2774 distinct recorded team appearances (0.5%) 2 winning team uses of 14 recorded team uses
14.3%
Shadow Ball Recorded use in 14 of 2774 distinct recorded team appearances (0.5%) 5 winning team uses of 14 recorded team uses
35.7%

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: 2026/10/12 11:01–2026/10/15 12:54 UTC 4.79 50.42 12542 601 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 5.62 51.77 12542 705 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 5.58 48.86 12542 700 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 6.12 44.66 12540 768 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 5.83 53.53 9968 581 Observed
~R1142 6.09 45.54 9958 606 Observed
~R1208 5.98 49.34 10104 604 Observed
~R1298 5.48 49.64 10004 548 Observed
R1298~ 4.29 45.06 10132 435 Observed

Rotom-Wash Observed Statistics

Performance Metrics

Rotom-Wash has a reported usage rate of 5.53% and win rate of 48.77% in BSS Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,353 wins and 1,421 losses (2,774 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 4.79% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 6.12% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=12,540 team slots), a change of +1.33 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 50.42% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=601 recorded appearances) and 44.66% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=768 recorded appearances), a change of -5.76 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 4.29% (R1298~; n=10,132 team slots) to 6.09% (~R1142; n=9,958 team slots), a spread of 1.80 percentage points. Overall usage was 5.53%. 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, Volt Switch has the largest recorded team-use count (551; 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: Garchomp: 50.7% wins in 1,105 recorded pair observations; Hippowdon: 49.4% wins in 577 recorded pair observations; Golisopod: 54.4% wins in 526 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: Milotic: 74.2% wins in 31 recorded pair observations; Sableye: 71.4% wins in 42 recorded pair observations; Froslass: 67.9% wins in 28 recorded pair observations. Returned lower-win-rate opponent group: Tinkaton: 33.3% wins in 42 recorded pair observations; Polteageist: 38.3% wins in 47 recorded pair observations; Blastoise: 38.8% wins in 129 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%

Garchomp
Garchomp1105 recorded pair observations · 4.41 pair observations per 100 analyzed battles
50.7%
Hippowdon
Hippowdon577 recorded pair observations · 2.30 pair observations per 100 analyzed battles
49.4%
Golisopod
Golisopod526 recorded pair observations · 2.10 pair observations per 100 analyzed battles
54.4%
Corviknight
Corviknight518 recorded pair observations · 2.07 pair observations per 100 analyzed battles
49.2%
Salamence
Salamence494 recorded pair observations · 1.97 pair observations per 100 analyzed battles
47.8%
Mimikyu
Mimikyu439 recorded pair observations · 1.75 pair observations per 100 analyzed battles
49.7%
Charizard
Charizard431 recorded pair observations · 1.72 pair observations per 100 analyzed battles
49.4%
Primarina
Primarina408 recorded pair observations · 1.63 pair observations per 100 analyzed battles
55.6%
Meowscarada
Meowscarada379 recorded pair observations · 1.51 pair observations per 100 analyzed battles
52.2%
Volcarona
Volcarona343 recorded pair observations · 1.37 pair observations per 100 analyzed battles
49.0%
Kingambit
Kingambit334 recorded pair observations · 1.33 pair observations per 100 analyzed battles
49.7%
Rillaboom
Rillaboom326 recorded pair observations · 1.30 pair observations per 100 analyzed battles
48.5%
Aegislash
Aegislash318 recorded pair observations · 1.27 pair observations per 100 analyzed battles
52.2%
Floette-Eternal
Floette-Eternal306 recorded pair observations · 1.22 pair observations per 100 analyzed battles
56.2%
Lucario
Lucario287 recorded pair observations · 1.14 pair observations per 100 analyzed battles
49.1%
Gholdengo
Gholdengo274 recorded pair observations · 1.09 pair observations per 100 analyzed battles
51.1%
Dragonite
Dragonite273 recorded pair observations · 1.09 pair observations per 100 analyzed battles
45.8%
Scizor
Scizor240 recorded pair observations · 0.96 pair observations per 100 analyzed battles
48.3%
Blaziken
Blaziken213 recorded pair observations · 0.85 pair observations per 100 analyzed battles
51.6%
Metagross
Metagross209 recorded pair observations · 0.83 pair observations per 100 analyzed battles
54.1%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp900 recorded pair observations · 3.59 pair observations per 100 analyzed battles
45.9%
Primarina
Primarina605 recorded pair observations · 2.41 pair observations per 100 analyzed battles
42.3%
Archaludon
Archaludon558 recorded pair observations · 2.22 pair observations per 100 analyzed battles
47.5%
Gholdengo
Gholdengo537 recorded pair observations · 2.14 pair observations per 100 analyzed battles
41.1%
Hippowdon
Hippowdon505 recorded pair observations · 2.01 pair observations per 100 analyzed battles
50.5%
Mimikyu
Mimikyu492 recorded pair observations · 1.96 pair observations per 100 analyzed battles
44.9%
Salamence
Salamence480 recorded pair observations · 1.91 pair observations per 100 analyzed battles
47.7%
Corviknight
Corviknight449 recorded pair observations · 1.79 pair observations per 100 analyzed battles
47.7%
Golisopod
Golisopod402 recorded pair observations · 1.60 pair observations per 100 analyzed battles
47.5%
Basculegion
Basculegion386 recorded pair observations · 1.54 pair observations per 100 analyzed battles
45.6%
Charizard
Charizard350 recorded pair observations · 1.40 pair observations per 100 analyzed battles
44.9%
Lucario
Lucario341 recorded pair observations · 1.36 pair observations per 100 analyzed battles
46.3%
Kingambit
Kingambit321 recorded pair observations · 1.28 pair observations per 100 analyzed battles
51.1%
Baxcalibur
Baxcalibur307 recorded pair observations · 1.22 pair observations per 100 analyzed battles
41.7%
Metagross
Metagross292 recorded pair observations · 1.16 pair observations per 100 analyzed battles
49.0%
Dragonite
Dragonite274 recorded pair observations · 1.09 pair observations per 100 analyzed battles
43.4%
Floette-Eternal
Floette-Eternal263 recorded pair observations · 1.05 pair observations per 100 analyzed battles
44.5%
Meowscarada
Meowscarada258 recorded pair observations · 1.03 pair observations per 100 analyzed battles
44.2%
Gyarados
Gyarados246 recorded pair observations · 0.98 pair observations per 100 analyzed battles
52.4%
Rillaboom
Rillaboom243 recorded pair observations · 0.97 pair observations per 100 analyzed battles
51.4%

Higher Win-rate Partners

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

Farigiraf
Farigiraf31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
74.2%
Mamoswine
Mamoswine34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
64.7%
Lopunny
Lopunny36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
61.1%
Pyroar
Pyroar100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
61.0%
Scolipede
Scolipede77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
61.0%
Arcanine-Hisui
Arcanine-Hisui99 recorded pair observations · 0.39 pair observations per 100 analyzed battles
60.6%
Heracross
Heracross74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
58.1%
Floette-Eternal
Floette-Eternal306 recorded pair observations · 1.22 pair observations per 100 analyzed battles
56.2%
Primarina
Primarina408 recorded pair observations · 1.63 pair observations per 100 analyzed battles
55.6%
Golisopod
Golisopod526 recorded pair observations · 2.10 pair observations per 100 analyzed battles
54.4%

Lower Win-rate Partners

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

Talonflame
Talonflame47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
25.5%
Weavile
Weavile58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
31.0%
Excadrill
Excadrill91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
31.9%
Blastoise
Blastoise40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
32.5%
Pawmot
Pawmot69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
33.3%
Indeedee
Indeedee50 recorded pair observations · 0.20 pair observations per 100 analyzed battles
34.0%
Quaquaval
Quaquaval30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
36.7%
Mawile
Mawile47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
38.3%
Sneasler
Sneasler49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
38.8%
Araquanid
Araquanid70 recorded pair observations · 0.28 pair observations per 100 analyzed battles
40.0%

Higher Win-rate Opponent Teams

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

Milotic
Milotic31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
74.2%
Sableye
Sableye42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
71.4%
Froslass
Froslass28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
67.9%
Araquanid
Araquanid76 recorded pair observations · 0.30 pair observations per 100 analyzed battles
64.5%
Barbaracle
Barbaracle127 recorded pair observations · 0.51 pair observations per 100 analyzed battles
63.0%
Absol
Absol64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
62.5%
Gardevoir
Gardevoir36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
61.1%
Skarmory
Skarmory73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
60.3%
Gallade
Gallade49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
59.2%
Kleavor
Kleavor39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
59.0%

Lower Win-rate Opponent Teams

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

Tinkaton
Tinkaton42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
33.3%
Polteageist
Polteageist47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
38.3%
Blastoise
Blastoise129 recorded pair observations · 0.51 pair observations per 100 analyzed battles
38.8%
Banette
Banette79 recorded pair observations · 0.31 pair observations per 100 analyzed battles
40.5%
Gholdengo
Gholdengo537 recorded pair observations · 2.14 pair observations per 100 analyzed battles
41.1%
Hydreigon
Hydreigon121 recorded pair observations · 0.48 pair observations per 100 analyzed battles
41.3%
Baxcalibur
Baxcalibur307 recorded pair observations · 1.22 pair observations per 100 analyzed battles
41.7%
Aggron
Aggron31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.9%
Primarina
Primarina605 recorded pair observations · 2.41 pair observations per 100 analyzed battles
42.3%
Vanilluxe
Vanilluxe40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.5%