Last Updated: 10/15/2026 11:04 [UTC]

Maushold

Tier E

BSS Regulation M-C (Pokemon Champions)

1.08%Usage Rate
44.06%Win Rate
18.03%Lead Rate
34.43%Selection Rate
1124Avg Rating

488 recorded team appearances · 215 wins · 273 losses · 10/01/2026–10/15/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Population Bomb Recorded use in 84 of 488 distinct recorded team appearances (17.2%) 45 winning team uses of 84 recorded team uses
53.6%
Tidy Up Recorded use in 58 of 488 distinct recorded team appearances (11.9%) 34 winning team uses of 58 recorded team uses
58.6%
Bite Recorded use in 19 of 488 distinct recorded team appearances (3.9%) 15 winning team uses of 19 recorded team uses
78.9%
Baton Pass Recorded use in 13 of 488 distinct recorded team appearances (2.7%) 9 winning team uses of 13 recorded team uses
69.2%
Encore Recorded use in 12 of 488 distinct recorded team appearances (2.5%) 9 winning team uses of 12 recorded team uses
75.0%
Thunder Wave Recorded use in 10 of 488 distinct recorded team appearances (2.0%) 4 winning team uses of 10 recorded team uses
40.0%

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: 2026/10/01 11:02–2026/10/05 12:08 UTC 1.67 45.21 11266 188 Observed
Period 2: 2026/10/05 12:08–2026/10/10 06:14 UTC 0.85 41.67 11264 96 Observed
Period 3: 2026/10/10 06:15–2026/10/12 15:16 UTC 1.19 44.03 11264 134 Observed
Period 4: 2026/10/12 15:17–2026/10/15 10:58 UTC 0.62 44.29 11264 70 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.10 46.56 8998 189 Observed
~R1134 1.15 34.31 8890 102 Observed
~R1196 0.82 46.67 9100 75 Observed
~R1274 0.70 46.03 8970 63 Observed
R1274~ 0.65 47.46 9100 59 Observed

Maushold Observed Statistics

Performance Metrics

Maushold has a reported usage rate of 1.08% and win rate of 44.06% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/01/2026 to 10/15/2026 (UTC), with 22,529 recorded battles. 215 wins and 273 losses (488 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 1.67% in the first available period (Period 1: 2026/10/01 11:02–2026/10/05 12:08 UTC; n=11,266 team slots) and 0.62% in the last available period (Period 4: 2026/10/12 15:17–2026/10/15 10:58 UTC; n=11,264 team slots), a change of -1.05 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 45.21% in the first available period (Period 1: 2026/10/01 11:02–2026/10/05 12:08 UTC; n=188 recorded appearances) and 44.29% in the last available period (Period 4: 2026/10/12 15:17–2026/10/15 10:58 UTC; n=70 recorded appearances), a change of -0.92 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 0.65% (R1274~; n=9,100 team slots) to 2.10% (~R1084; n=8,998 team slots), a spread of 1.45 percentage points. Overall usage was 1.08%. 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, Population Bomb has the largest recorded team-use count (84; 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: Golisopod: 56.0% wins in 116 recorded pair observations; Chandelure: 53.5% wins in 86 recorded pair observations; Garchomp: 42.3% wins in 78 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: Tyranitar: 65.2% wins in 23 recorded pair observations; Corviknight: 53.7% wins in 82 recorded pair observations; Delphox: 52.8% wins in 36 recorded pair observations. Returned lower-win-rate opponent group: Salamence: 26.7% wins in 86 recorded pair observations; Greninja: 31.8% wins in 22 recorded pair observations; Metagross: 34.8% wins in 46 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%

Golisopod
Golisopod116 recorded pair observations · 0.51 pair observations per 100 analyzed battles
56.0%
Chandelure
Chandelure86 recorded pair observations · 0.38 pair observations per 100 analyzed battles
53.5%
Garchomp
Garchomp78 recorded pair observations · 0.35 pair observations per 100 analyzed battles
42.3%
Aegislash
Aegislash73 recorded pair observations · 0.32 pair observations per 100 analyzed battles
60.3%
Glimmora
Glimmora72 recorded pair observations · 0.32 pair observations per 100 analyzed battles
45.8%
Pawmot
Pawmot67 recorded pair observations · 0.30 pair observations per 100 analyzed battles
43.3%
Meganium
Meganium62 recorded pair observations · 0.28 pair observations per 100 analyzed battles
59.7%
Gholdengo
Gholdengo60 recorded pair observations · 0.27 pair observations per 100 analyzed battles
35.0%
Ninetales-Alola
Ninetales-Alola60 recorded pair observations · 0.27 pair observations per 100 analyzed battles
38.3%
Salamence
Salamence55 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.5%
Clefable
Clefable53 recorded pair observations · 0.24 pair observations per 100 analyzed battles
49.1%
Corviknight
Corviknight52 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.1%
Blastoise
Blastoise50 recorded pair observations · 0.22 pair observations per 100 analyzed battles
54.0%
Kingambit
Kingambit50 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.0%
Sableye
Sableye45 recorded pair observations · 0.20 pair observations per 100 analyzed battles
44.4%
Raichu
Raichu42 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.2%
Rillaboom
Rillaboom41 recorded pair observations · 0.18 pair observations per 100 analyzed battles
21.9%
Inteleon
Inteleon40 recorded pair observations · 0.18 pair observations per 100 analyzed battles
52.5%
Banette
Banette38 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.0%
Gyarados
Gyarados36 recorded pair observations · 0.16 pair observations per 100 analyzed battles
47.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp188 recorded pair observations · 0.83 pair observations per 100 analyzed battles
45.2%
Primarina
Primarina103 recorded pair observations · 0.46 pair observations per 100 analyzed battles
36.9%
Golisopod
Golisopod96 recorded pair observations · 0.43 pair observations per 100 analyzed battles
37.5%
Salamence
Salamence86 recorded pair observations · 0.38 pair observations per 100 analyzed battles
26.7%
Archaludon
Archaludon84 recorded pair observations · 0.37 pair observations per 100 analyzed battles
41.7%
Corviknight
Corviknight82 recorded pair observations · 0.36 pair observations per 100 analyzed battles
53.7%
Basculegion
Basculegion78 recorded pair observations · 0.35 pair observations per 100 analyzed battles
37.2%
Gholdengo
Gholdengo77 recorded pair observations · 0.34 pair observations per 100 analyzed battles
35.1%
Charizard
Charizard76 recorded pair observations · 0.34 pair observations per 100 analyzed battles
36.8%
Baxcalibur
Baxcalibur74 recorded pair observations · 0.33 pair observations per 100 analyzed battles
37.8%
Hippowdon
Hippowdon74 recorded pair observations · 0.33 pair observations per 100 analyzed battles
51.4%
Mimikyu
Mimikyu67 recorded pair observations · 0.30 pair observations per 100 analyzed battles
35.8%
Rillaboom
Rillaboom51 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.0%
Metagross
Metagross46 recorded pair observations · 0.20 pair observations per 100 analyzed battles
34.8%
Kingambit
Kingambit45 recorded pair observations · 0.20 pair observations per 100 analyzed battles
46.7%
Sneasler
Sneasler44 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.7%
Pawmot
Pawmot42 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.6%
Blaziken
Blaziken41 recorded pair observations · 0.18 pair observations per 100 analyzed battles
39.0%
Meowscarada
Meowscarada40 recorded pair observations · 0.18 pair observations per 100 analyzed battles
40.0%
Volcarona
Volcarona40 recorded pair observations · 0.18 pair observations per 100 analyzed battles
42.5%

Higher Win-rate Partners

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

Aegislash
Aegislash73 recorded pair observations · 0.32 pair observations per 100 analyzed battles
60.3%
Meganium
Meganium62 recorded pair observations · 0.28 pair observations per 100 analyzed battles
59.7%
Golisopod
Golisopod116 recorded pair observations · 0.51 pair observations per 100 analyzed battles
56.0%
Grimmsnarl
Grimmsnarl31 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.8%
Staraptor
Staraptor22 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.5%
Blastoise
Blastoise50 recorded pair observations · 0.22 pair observations per 100 analyzed battles
54.0%
Mamoswine
Mamoswine26 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.9%
Serperior
Serperior28 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.6%
Chandelure
Chandelure86 recorded pair observations · 0.38 pair observations per 100 analyzed battles
53.5%
Indeedee
Indeedee30 recorded pair observations · 0.13 pair observations per 100 analyzed battles
53.3%

Lower Win-rate Partners

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

Rillaboom
Rillaboom41 recorded pair observations · 0.18 pair observations per 100 analyzed battles
21.9%
Meowscarada
Meowscarada33 recorded pair observations · 0.15 pair observations per 100 analyzed battles
24.2%
Malamar
Malamar27 recorded pair observations · 0.12 pair observations per 100 analyzed battles
25.9%
Beedrill
Beedrill33 recorded pair observations · 0.15 pair observations per 100 analyzed battles
30.3%
Dragonite
Dragonite23 recorded pair observations · 0.10 pair observations per 100 analyzed battles
30.4%
Gholdengo
Gholdengo60 recorded pair observations · 0.27 pair observations per 100 analyzed battles
35.0%
Ninetales-Alola
Ninetales-Alola60 recorded pair observations · 0.27 pair observations per 100 analyzed battles
38.3%
Basculegion
Basculegion28 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.3%
Sneasler
Sneasler30 recorded pair observations · 0.13 pair observations per 100 analyzed battles
40.0%
Garchomp
Garchomp78 recorded pair observations · 0.35 pair observations per 100 analyzed battles
42.3%

Higher Win-rate Opponent Teams

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

Tyranitar
Tyranitar23 recorded pair observations · 0.10 pair observations per 100 analyzed battles
65.2%
Corviknight
Corviknight82 recorded pair observations · 0.36 pair observations per 100 analyzed battles
53.7%
Delphox
Delphox36 recorded pair observations · 0.16 pair observations per 100 analyzed battles
52.8%
Hippowdon
Hippowdon74 recorded pair observations · 0.33 pair observations per 100 analyzed battles
51.4%
Starmie
Starmie28 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.0%
Rillaboom
Rillaboom51 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.0%
Skeledirge
Skeledirge25 recorded pair observations · 0.11 pair observations per 100 analyzed battles
48.0%
Sneasler
Sneasler44 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.7%
Pawmot
Pawmot42 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.6%
Kingambit
Kingambit45 recorded pair observations · 0.20 pair observations per 100 analyzed battles
46.7%

Lower Win-rate Opponent Teams

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

Salamence
Salamence86 recorded pair observations · 0.38 pair observations per 100 analyzed battles
26.7%
Greninja
Greninja22 recorded pair observations · 0.10 pair observations per 100 analyzed battles
31.8%
Metagross
Metagross46 recorded pair observations · 0.20 pair observations per 100 analyzed battles
34.8%
Gholdengo
Gholdengo77 recorded pair observations · 0.34 pair observations per 100 analyzed battles
35.1%
Raichu
Raichu34 recorded pair observations · 0.15 pair observations per 100 analyzed battles
35.3%
Dragapult
Dragapult28 recorded pair observations · 0.12 pair observations per 100 analyzed battles
35.7%
Mimikyu
Mimikyu67 recorded pair observations · 0.30 pair observations per 100 analyzed battles
35.8%
Aegislash
Aegislash25 recorded pair observations · 0.11 pair observations per 100 analyzed battles
36.0%
Charizard
Charizard76 recorded pair observations · 0.34 pair observations per 100 analyzed battles
36.8%
Ninetales-Alola
Ninetales-Alola38 recorded pair observations · 0.17 pair observations per 100 analyzed battles
36.8%