Last Updated: 10/26/2026 11:15 [UTC]

Rotom-Wash

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.95%Usage Rate
46.07%Win Rate
32.86%Lead Rate
56.80%Selection Rate
1200Avg Rating

12551 recorded team appearances · 5782 wins · 6769 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Hydro Pump Recorded use in 2598 of 12553 distinct recorded team appearances (20.7%) 1196 winning team uses of 2598 recorded team uses
46.0%
Will-O-Wisp Recorded use in 1749 of 12553 distinct recorded team appearances (13.9%) 861 winning team uses of 1749 recorded team uses
49.2%
Thunderbolt Recorded use in 1641 of 12553 distinct recorded team appearances (13.1%) 799 winning team uses of 1641 recorded team uses
48.7%
Volt Switch Recorded use in 1325 of 12553 distinct recorded team appearances (10.6%) 616 winning team uses of 1325 recorded team uses
46.5%
Electroweb Recorded use in 937 of 12553 distinct recorded team appearances (7.5%) 418 winning team uses of 937 recorded team uses
44.6%
Discharge Recorded use in 807 of 12553 distinct recorded team appearances (6.4%) 395 winning team uses of 807 recorded team uses
48.9%
Protect Recorded use in 764 of 12553 distinct recorded team appearances (6.1%) 320 winning team uses of 764 recorded team uses
41.9%
Light Screen Recorded use in 455 of 12553 distinct recorded team appearances (3.6%) 220 winning team uses of 455 recorded team uses
48.4%
Trick Recorded use in 363 of 12553 distinct recorded team appearances (2.9%) 134 winning team uses of 363 recorded team uses
36.9%
Nasty Plot Recorded use in 110 of 12553 distinct recorded team appearances (0.9%) 47 winning team uses of 110 recorded team uses
42.7%

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 11:01–2026/10/16 00:34 UTC 1.82 46.86 160968 2928 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 2.17 47.20 160966 3500 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 1.68 45.27 160966 2697 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 2.13 44.86 160966 3426 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 3.04 46.90 128104 3900 Observed
~R1208 2.71 46.01 129182 3497 Observed
~R1302 2.00 45.91 126962 2533 Observed
~R1405 1.33 45.59 130626 1733 Observed
R1405~ 0.69 44.03 128992 888 Observed

Rotom-Wash Observed Statistics

Performance Metrics

Rotom-Wash has a reported usage rate of 1.95% and win rate of 46.07% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 5,782 wins and 6,769 losses (12,551 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 1.82% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 2.13% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 team slots), a change of +0.31 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 46.86% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=2,928 recorded appearances) and 44.86% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=3,426 recorded appearances), a change of -2.00 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.

Rating-band Observations

Across 5 available rating bands, usage ranged from 0.69% (R1405~; n=128,992 team slots) to 3.04% (~R1129; n=128,104 team slots), a spread of 2.35 percentage points. Overall usage was 1.95%. 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, Hydro Pump has the largest recorded team-use count (2,598; 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: 47.3% wins in 4,102 recorded pair observations; Sneasler: 47.7% wins in 2,996 recorded pair observations; Incineroar: 45.9% wins in 2,848 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: Maushold: 55.8% wins in 312 recorded pair observations; Sableye: 52.9% wins in 391 recorded pair observations; Lucario: 51.5% wins in 478 recorded pair observations. Returned lower-win-rate opponent group: Annihilape: 38.7% wins in 432 recorded pair observations; Basculegion-F: 40.1% wins in 474 recorded pair observations; Arcanine-Hisui: 41.1% wins in 594 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
Garchomp4102 recorded pair observations · 1.27 pair observations per 100 analyzed battles
47.3%
Sneasler
Sneasler2996 recorded pair observations · 0.93 pair observations per 100 analyzed battles
47.7%
Incineroar
Incineroar2848 recorded pair observations · 0.88 pair observations per 100 analyzed battles
45.9%
Tyranitar
Tyranitar2454 recorded pair observations · 0.76 pair observations per 100 analyzed battles
48.8%
Rillaboom
Rillaboom2313 recorded pair observations · 0.72 pair observations per 100 analyzed battles
46.0%
Indeedee-F
Indeedee-F2170 recorded pair observations · 0.67 pair observations per 100 analyzed battles
46.0%
Whimsicott
Whimsicott1831 recorded pair observations · 0.57 pair observations per 100 analyzed battles
46.5%
Sinistcha
Sinistcha1577 recorded pair observations · 0.49 pair observations per 100 analyzed battles
46.3%
Gholdengo
Gholdengo1378 recorded pair observations · 0.43 pair observations per 100 analyzed battles
46.9%
Excadrill
Excadrill1252 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.9%
Kingambit
Kingambit1244 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.9%
Sceptile
Sceptile1195 recorded pair observations · 0.37 pair observations per 100 analyzed battles
47.7%
Farigiraf
Farigiraf1184 recorded pair observations · 0.37 pair observations per 100 analyzed battles
46.0%
Charizard
Charizard1150 recorded pair observations · 0.36 pair observations per 100 analyzed battles
48.9%
Salamence
Salamence1130 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.9%
Volcarona
Volcarona902 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.7%
Staraptor
Staraptor881 recorded pair observations · 0.27 pair observations per 100 analyzed battles
48.7%
Gardevoir
Gardevoir854 recorded pair observations · 0.27 pair observations per 100 analyzed battles
48.1%
Raichu
Raichu826 recorded pair observations · 0.26 pair observations per 100 analyzed battles
43.8%
Golisopod
Golisopod784 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.1%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom3786 recorded pair observations · 1.18 pair observations per 100 analyzed battles
42.5%
Sneasler
Sneasler3668 recorded pair observations · 1.14 pair observations per 100 analyzed battles
43.5%
Incineroar
Incineroar3324 recorded pair observations · 1.03 pair observations per 100 analyzed battles
44.0%
Garchomp
Garchomp3148 recorded pair observations · 0.98 pair observations per 100 analyzed battles
45.7%
Archaludon
Archaludon2312 recorded pair observations · 0.72 pair observations per 100 analyzed battles
42.6%
Indeedee-F
Indeedee-F2304 recorded pair observations · 0.72 pair observations per 100 analyzed battles
46.7%
Raichu
Raichu2261 recorded pair observations · 0.70 pair observations per 100 analyzed battles
44.0%
Pelipper
Pelipper2075 recorded pair observations · 0.64 pair observations per 100 analyzed battles
44.9%
Farigiraf
Farigiraf2032 recorded pair observations · 0.63 pair observations per 100 analyzed battles
45.4%
Charizard
Charizard1968 recorded pair observations · 0.61 pair observations per 100 analyzed battles
45.6%
Kingambit
Kingambit1881 recorded pair observations · 0.58 pair observations per 100 analyzed battles
42.2%
Golisopod
Golisopod1759 recorded pair observations · 0.55 pair observations per 100 analyzed battles
44.5%
Gholdengo
Gholdengo1604 recorded pair observations · 0.50 pair observations per 100 analyzed battles
47.7%
Whimsicott
Whimsicott1558 recorded pair observations · 0.48 pair observations per 100 analyzed battles
46.9%
Salamence
Salamence1302 recorded pair observations · 0.40 pair observations per 100 analyzed battles
42.3%
Basculegion
Basculegion1298 recorded pair observations · 0.40 pair observations per 100 analyzed battles
42.3%
Sinistcha
Sinistcha1256 recorded pair observations · 0.39 pair observations per 100 analyzed battles
46.3%
Tyranitar
Tyranitar1196 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.5%
Milotic
Milotic1115 recorded pair observations · 0.35 pair observations per 100 analyzed battles
46.3%
Volcarona
Volcarona1097 recorded pair observations · 0.34 pair observations per 100 analyzed battles
46.3%

Higher Win-rate Partners

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

Weavile
Weavile314 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.9%
Skarmory
Skarmory447 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.8%
Basculegion
Basculegion387 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.4%
Delphox
Delphox707 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.9%
Venusaur
Venusaur590 recorded pair observations · 0.18 pair observations per 100 analyzed battles
49.5%
Charizard
Charizard1150 recorded pair observations · 0.36 pair observations per 100 analyzed battles
48.9%
Excadrill
Excadrill1252 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.9%
Kingambit
Kingambit1244 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.9%
Salamence
Salamence1130 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.9%
Tyranitar
Tyranitar2454 recorded pair observations · 0.76 pair observations per 100 analyzed battles
48.8%

Lower Win-rate Partners

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

Grimmsnarl
Grimmsnarl375 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.3%
Floette-Eternal
Floette-Eternal440 recorded pair observations · 0.14 pair observations per 100 analyzed battles
41.6%
Mamoswine
Mamoswine310 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.9%
Dragonite
Dragonite461 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.1%
Gliscor
Gliscor475 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.3%
Lucario
Lucario593 recorded pair observations · 0.18 pair observations per 100 analyzed battles
43.0%
Mawile
Mawile317 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.2%
Gengar
Gengar462 recorded pair observations · 0.14 pair observations per 100 analyzed battles
43.5%
Ninetales-Alola
Ninetales-Alola528 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.6%
Raichu
Raichu826 recorded pair observations · 0.26 pair observations per 100 analyzed battles
43.8%

Higher Win-rate Opponent Teams

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

Maushold
Maushold312 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.8%
Sableye
Sableye391 recorded pair observations · 0.12 pair observations per 100 analyzed battles
52.9%
Lucario
Lucario478 recorded pair observations · 0.15 pair observations per 100 analyzed battles
51.5%
Blastoise
Blastoise311 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.8%
Excadrill
Excadrill812 recorded pair observations · 0.25 pair observations per 100 analyzed battles
50.1%
Corviknight
Corviknight363 recorded pair observations · 0.11 pair observations per 100 analyzed battles
49.6%
Glimmora
Glimmora509 recorded pair observations · 0.16 pair observations per 100 analyzed battles
49.3%
Tyranitar
Tyranitar1196 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.5%
Torkoal
Torkoal702 recorded pair observations · 0.22 pair observations per 100 analyzed battles
48.3%
Dragapult
Dragapult361 recorded pair observations · 0.11 pair observations per 100 analyzed battles
48.2%

Lower Win-rate Opponent Teams

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

Annihilape
Annihilape432 recorded pair observations · 0.13 pair observations per 100 analyzed battles
38.7%
Basculegion-F
Basculegion-F474 recorded pair observations · 0.15 pair observations per 100 analyzed battles
40.1%
Arcanine-Hisui
Arcanine-Hisui594 recorded pair observations · 0.18 pair observations per 100 analyzed battles
41.1%
Gardevoir
Gardevoir721 recorded pair observations · 0.22 pair observations per 100 analyzed battles
42.0%
Floette-Eternal
Floette-Eternal793 recorded pair observations · 0.25 pair observations per 100 analyzed battles
42.1%
Kingambit
Kingambit1881 recorded pair observations · 0.58 pair observations per 100 analyzed battles
42.2%
Basculegion
Basculegion1298 recorded pair observations · 0.40 pair observations per 100 analyzed battles
42.3%
Salamence
Salamence1302 recorded pair observations · 0.40 pair observations per 100 analyzed battles
42.3%
Armarouge
Armarouge540 recorded pair observations · 0.17 pair observations per 100 analyzed battles
42.4%
Rillaboom
Rillaboom3786 recorded pair observations · 1.18 pair observations per 100 analyzed battles
42.5%