Last Updated: 10/24/2026 11:03 [UTC]

Milotic

Tier E

BSS Regulation M-C (Pokemon Champions)

1.33%Usage Rate
43.54%Win Rate
9.20%Lead Rate
30.36%Selection Rate
1129Avg Rating

728 recorded team appearances · 317 wins · 411 losses · 10/10/2026–10/24/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Scald Recorded use in 110 of 728 distinct recorded team appearances (15.1%) 53 winning team uses of 110 recorded team uses
48.2%
Coil Recorded use in 55 of 728 distinct recorded team appearances (7.6%) 25 winning team uses of 55 recorded team uses
45.5%
Hypnosis Recorded use in 42 of 728 distinct recorded team appearances (5.8%) 20 winning team uses of 42 recorded team uses
47.6%
Recover Recorded use in 35 of 728 distinct recorded team appearances (4.8%) 15 winning team uses of 35 recorded team uses
42.9%
Ice Beam Recorded use in 32 of 728 distinct recorded team appearances (4.4%) 14 winning team uses of 32 recorded team uses
43.8%
Rain Dance Recorded use in 23 of 728 distinct recorded team appearances (3.2%) 12 winning team uses of 23 recorded team uses
52.2%
Mirror Coat Recorded use in 22 of 728 distinct recorded team appearances (3.0%) 11 winning team uses of 22 recorded team uses
50.0%
Protect Recorded use in 20 of 728 distinct recorded team appearances (2.7%) 8 winning team uses of 20 recorded team uses
40.0%
Breaking Swipe Recorded use in 16 of 728 distinct recorded team appearances (2.2%) 12 winning team uses of 16 recorded team uses
75.0%
Flip Turn Recorded use in 13 of 728 distinct recorded team appearances (1.8%) 5 winning team uses of 13 recorded team uses
38.5%

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: 2026/10/10 11:01–2026/10/13 11:23 UTC 1.71 44.87 13648 234 Observed
Period 2: 2026/10/13 11:24–2026/10/16 20:57 UTC 0.94 39.06 13646 128 Observed
Period 3: 2026/10/16 20:58–2026/10/20 06:47 UTC 1.03 40.43 13646 141 Observed
Period 4: 2026/10/20 06:48–2026/10/24 10:58 UTC 1.65 46.67 13646 225 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1090 2.24 37.04 10846 243 Observed
~R1142 1.59 50.88 10784 171 Observed
~R1208 1.45 50.63 10900 158 Observed
~R1296 0.97 39.81 11136 108 Observed
R1296~ 0.44 35.42 10920 48 Observed

Milotic Observed Statistics

Performance Metrics

Milotic has a reported usage rate of 1.33% and win rate of 43.54% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/10/2026 to 10/24/2026 (UTC), with 27,293 recorded battles. 317 wins and 411 losses (728 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 1.71% in the first available period (Period 1: 2026/10/10 11:01–2026/10/13 11:23 UTC; n=13,648 team slots) and 1.65% in the last available period (Period 4: 2026/10/20 06:48–2026/10/24 10:58 UTC; n=13,646 team slots), a change of -0.06 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 44.87% in the first available period (Period 1: 2026/10/10 11:01–2026/10/13 11:23 UTC; n=234 recorded appearances) and 46.67% in the last available period (Period 4: 2026/10/20 06:48–2026/10/24 10:58 UTC; n=225 recorded appearances), a change of +1.80 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 0.44% (R1296~; n=10,920 team slots) to 2.24% (~R1090; n=10,846 team slots), a spread of 1.80 percentage points. Overall usage was 1.33%. 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, Scald has the largest recorded team-use count (110; 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: 47.2% wins in 307 recorded pair observations; Gholdengo: 43.3% wins in 157 recorded pair observations; Corviknight: 52.9% wins in 140 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: Scolipede: 55.6% wins in 27 recorded pair observations; Samurott-Hisui: 55.2% wins in 29 recorded pair observations; Sneasler: 52.1% wins in 48 recorded pair observations. Returned lower-win-rate opponent group: Hydreigon: 31.2% wins in 48 recorded pair observations; Toxapex: 32.0% wins in 50 recorded pair observations; Metagross: 32.4% wins in 71 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
Garchomp307 recorded pair observations · 1.12 pair observations per 100 analyzed battles
47.2%
Gholdengo
Gholdengo157 recorded pair observations · 0.58 pair observations per 100 analyzed battles
43.3%
Corviknight
Corviknight140 recorded pair observations · 0.51 pair observations per 100 analyzed battles
52.9%
Clefable
Clefable136 recorded pair observations · 0.50 pair observations per 100 analyzed battles
50.0%
Cinderace
Cinderace134 recorded pair observations · 0.49 pair observations per 100 analyzed battles
53.7%
Absol
Absol129 recorded pair observations · 0.47 pair observations per 100 analyzed battles
52.7%
Whimsicott
Whimsicott121 recorded pair observations · 0.44 pair observations per 100 analyzed battles
51.2%
Mamoswine
Mamoswine112 recorded pair observations · 0.41 pair observations per 100 analyzed battles
54.5%
Kingambit
Kingambit106 recorded pair observations · 0.39 pair observations per 100 analyzed battles
43.4%
Blaziken
Blaziken102 recorded pair observations · 0.37 pair observations per 100 analyzed battles
44.1%
Raichu
Raichu85 recorded pair observations · 0.31 pair observations per 100 analyzed battles
35.3%
Meowscarada
Meowscarada83 recorded pair observations · 0.30 pair observations per 100 analyzed battles
59.0%
Lucario
Lucario80 recorded pair observations · 0.29 pair observations per 100 analyzed battles
45.0%
Rillaboom
Rillaboom80 recorded pair observations · 0.29 pair observations per 100 analyzed battles
22.5%
Charizard
Charizard79 recorded pair observations · 0.29 pair observations per 100 analyzed battles
45.6%
Archaludon
Archaludon66 recorded pair observations · 0.24 pair observations per 100 analyzed battles
56.1%
Sneasler
Sneasler56 recorded pair observations · 0.21 pair observations per 100 analyzed battles
26.8%
Incineroar
Incineroar55 recorded pair observations · 0.20 pair observations per 100 analyzed battles
34.5%
Espathra
Espathra52 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.9%
Salamence
Salamence51 recorded pair observations · 0.19 pair observations per 100 analyzed battles
37.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp234 recorded pair observations · 0.86 pair observations per 100 analyzed battles
38.5%
Primarina
Primarina167 recorded pair observations · 0.61 pair observations per 100 analyzed battles
42.5%
Archaludon
Archaludon160 recorded pair observations · 0.59 pair observations per 100 analyzed battles
39.4%
Mimikyu
Mimikyu126 recorded pair observations · 0.46 pair observations per 100 analyzed battles
35.7%
Gholdengo
Gholdengo125 recorded pair observations · 0.46 pair observations per 100 analyzed battles
47.2%
Hippowdon
Hippowdon118 recorded pair observations · 0.43 pair observations per 100 analyzed battles
43.2%
Corviknight
Corviknight112 recorded pair observations · 0.41 pair observations per 100 analyzed battles
40.2%
Golisopod
Golisopod106 recorded pair observations · 0.39 pair observations per 100 analyzed battles
50.0%
Salamence
Salamence99 recorded pair observations · 0.36 pair observations per 100 analyzed battles
42.4%
Charizard
Charizard93 recorded pair observations · 0.34 pair observations per 100 analyzed battles
37.6%
Lucario
Lucario89 recorded pair observations · 0.33 pair observations per 100 analyzed battles
39.3%
Basculegion
Basculegion81 recorded pair observations · 0.30 pair observations per 100 analyzed battles
33.3%
Scizor
Scizor75 recorded pair observations · 0.27 pair observations per 100 analyzed battles
44.0%
Kingambit
Kingambit74 recorded pair observations · 0.27 pair observations per 100 analyzed battles
40.5%
Metagross
Metagross71 recorded pair observations · 0.26 pair observations per 100 analyzed battles
32.4%
Meowscarada
Meowscarada70 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.6%
Dragonite
Dragonite68 recorded pair observations · 0.25 pair observations per 100 analyzed battles
39.7%
Baxcalibur
Baxcalibur67 recorded pair observations · 0.25 pair observations per 100 analyzed battles
44.8%
Clefable
Clefable66 recorded pair observations · 0.24 pair observations per 100 analyzed battles
43.9%
Rillaboom
Rillaboom65 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.7%

Higher Win-rate Partners

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

Mimikyu
Mimikyu35 recorded pair observations · 0.13 pair observations per 100 analyzed battles
62.9%
Hydreigon
Hydreigon27 recorded pair observations · 0.10 pair observations per 100 analyzed battles
59.3%
Meowscarada
Meowscarada83 recorded pair observations · 0.30 pair observations per 100 analyzed battles
59.0%
Basculegion-F
Basculegion-F34 recorded pair observations · 0.12 pair observations per 100 analyzed battles
58.8%
Archaludon
Archaludon66 recorded pair observations · 0.24 pair observations per 100 analyzed battles
56.1%
Mamoswine
Mamoswine112 recorded pair observations · 0.41 pair observations per 100 analyzed battles
54.5%
Cinderace
Cinderace134 recorded pair observations · 0.49 pair observations per 100 analyzed battles
53.7%
Glimmora
Glimmora32 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.1%
Corviknight
Corviknight140 recorded pair observations · 0.51 pair observations per 100 analyzed battles
52.9%
Pawmot
Pawmot36 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.8%

Lower Win-rate Partners

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

Tyranitar
Tyranitar34 recorded pair observations · 0.12 pair observations per 100 analyzed battles
11.8%
Rillaboom
Rillaboom80 recorded pair observations · 0.29 pair observations per 100 analyzed battles
22.5%
Gardevoir
Gardevoir34 recorded pair observations · 0.12 pair observations per 100 analyzed battles
23.5%
Sneasler
Sneasler56 recorded pair observations · 0.21 pair observations per 100 analyzed battles
26.8%
Staraptor
Staraptor44 recorded pair observations · 0.16 pair observations per 100 analyzed battles
27.3%
Venusaur
Venusaur37 recorded pair observations · 0.14 pair observations per 100 analyzed battles
32.4%
Incineroar
Incineroar55 recorded pair observations · 0.20 pair observations per 100 analyzed battles
34.5%
Dragapult
Dragapult26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
34.6%
Raichu
Raichu85 recorded pair observations · 0.31 pair observations per 100 analyzed battles
35.3%
Eelektross
Eelektross27 recorded pair observations · 0.10 pair observations per 100 analyzed battles
37.0%

Higher Win-rate Opponent Teams

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

Scolipede
Scolipede27 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.6%
Samurott-Hisui
Samurott-Hisui29 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.2%
Sneasler
Sneasler48 recorded pair observations · 0.18 pair observations per 100 analyzed battles
52.1%
Gengar
Gengar50 recorded pair observations · 0.18 pair observations per 100 analyzed battles
52.0%
Hatterene
Hatterene27 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.9%
Golisopod
Golisopod106 recorded pair observations · 0.39 pair observations per 100 analyzed battles
50.0%
Glimmora
Glimmora59 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.1%
Meowscarada
Meowscarada70 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.6%
Ninetales-Alola
Ninetales-Alola37 recorded pair observations · 0.14 pair observations per 100 analyzed battles
48.6%
Raichu
Raichu44 recorded pair observations · 0.16 pair observations per 100 analyzed battles
47.7%

Lower Win-rate Opponent Teams

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

Hydreigon
Hydreigon48 recorded pair observations · 0.18 pair observations per 100 analyzed battles
31.2%
Toxapex
Toxapex50 recorded pair observations · 0.18 pair observations per 100 analyzed battles
32.0%
Metagross
Metagross71 recorded pair observations · 0.26 pair observations per 100 analyzed battles
32.4%
Basculegion
Basculegion81 recorded pair observations · 0.30 pair observations per 100 analyzed battles
33.3%
Delphox
Delphox54 recorded pair observations · 0.20 pair observations per 100 analyzed battles
33.3%
Mimikyu
Mimikyu126 recorded pair observations · 0.46 pair observations per 100 analyzed battles
35.7%
Starmie
Starmie63 recorded pair observations · 0.23 pair observations per 100 analyzed battles
36.5%
Venusaur
Venusaur30 recorded pair observations · 0.11 pair observations per 100 analyzed battles
36.7%
Volcarona
Volcarona30 recorded pair observations · 0.11 pair observations per 100 analyzed battles
36.7%
Gliscor
Gliscor38 recorded pair observations · 0.14 pair observations per 100 analyzed battles
36.8%