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

Milotic

Tier E

OU (Over Used)

1.16%Usage Rate
44.69%Win Rate
11.57%Lead Rate
1164Avg Rating

3475 recorded team appearances · 1553 wins · 1922 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Scald Recorded use in 1198 of 3475 distinct recorded team appearances (34.5%) 531 winning team uses of 1198 recorded team uses
44.3%
Ice Beam Recorded use in 746 of 3475 distinct recorded team appearances (21.5%) 315 winning team uses of 746 recorded team uses
42.2%
Recover Recorded use in 693 of 3475 distinct recorded team appearances (19.9%) 303 winning team uses of 693 recorded team uses
43.7%
Alluring Voice Recorded use in 286 of 3475 distinct recorded team appearances (8.2%) 128 winning team uses of 286 recorded team uses
44.8%
Draining Kiss Recorded use in 186 of 3475 distinct recorded team appearances (5.4%) 89 winning team uses of 186 recorded team uses
47.8%
Haze Recorded use in 183 of 3475 distinct recorded team appearances (5.3%) 83 winning team uses of 183 recorded team uses
45.4%
Mirror Coat Recorded use in 171 of 3475 distinct recorded team appearances (4.9%) 83 winning team uses of 171 recorded team uses
48.5%
Surf Recorded use in 151 of 3475 distinct recorded team appearances (4.3%) 60 winning team uses of 151 recorded team uses
39.7%
Dragon Tail Recorded use in 142 of 3475 distinct recorded team appearances (4.1%) 64 winning team uses of 142 recorded team uses
45.1%
Flip Turn Recorded use in 120 of 3475 distinct recorded team appearances (3.5%) 53 winning team uses of 120 recorded team uses
44.2%

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 15:46 JST 1.01 44.83 74644 754 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.15 45.06 74642 861 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:56 JST 1.37 44.66 74642 1021 Observed
Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST 1.12 44.22 74642 839 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.93 44.91 60202 1160 Observed
~R1156 1.52 42.38 59416 906 Observed
~R1268 1.04 44.52 59484 620 Observed
~R1398 0.87 48.17 59962 519 Observed
R1398~ 0.45 45.19 59506 270 Observed

Milotic Observed Statistics

Performance Metrics

Milotic has a reported usage rate of 1.16% and win rate of 44.69% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,285 recorded battles. 1,553 wins and 1,922 losses (3,475 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 1.01% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=74,644 team slots) and 1.12% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=74,642 team slots), a change of +0.11 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 44.83% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=754 recorded appearances) and 44.22% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=839 recorded appearances), a change of -0.61 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 0.45% (R1398~; n=59,506 team slots) to 1.93% (~R1084; n=60,202 team slots), a spread of 1.48 percentage points. Overall usage was 1.16%. 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 (1,198; 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: Cinderace: 49.8% wins in 647 recorded pair observations; Dragapult: 50.2% wins in 608 recorded pair observations; Kingambit: 50.1% wins in 597 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: Garchomp: 49.0% wins in 210 recorded pair observations; Primarina: 46.3% wins in 190 recorded pair observations; Ceruledge: 46.2% wins in 316 recorded pair observations. Returned lower-win-rate opponent group: Iron Treads: 32.7% wins in 278 recorded pair observations; Samurott-Hisui: 33.5% wins in 316 recorded pair observations; Ogerpon-Wellspring: 34.8% wins in 428 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%

Cinderace
Cinderace647 recorded pair observations · 0.43 pair observations per 100 analyzed battles
49.8%
Dragapult
Dragapult608 recorded pair observations · 0.41 pair observations per 100 analyzed battles
50.2%
Kingambit
Kingambit597 recorded pair observations · 0.40 pair observations per 100 analyzed battles
50.1%
Serperior
Serperior519 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.6%
Gliscor
Gliscor395 recorded pair observations · 0.26 pair observations per 100 analyzed battles
39.8%
Garchomp
Garchomp377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
41.9%
Great Tusk
Great Tusk344 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.7%
Pecharunt
Pecharunt328 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.3%
Corviknight
Corviknight283 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.4%
Dragonite
Dragonite273 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.0%
Araquanid
Araquanid260 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.6%
Ceruledge
Ceruledge252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
42.1%
Rillaboom
Rillaboom239 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.1%
Gardevoir
Gardevoir238 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.4%
Mimikyu
Mimikyu237 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.5%
Hatterene
Hatterene235 recorded pair observations · 0.16 pair observations per 100 analyzed battles
50.6%
Blaziken
Blaziken230 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.9%
Clefable
Clefable223 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.0%
Ting-Lu
Ting-Lu193 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.3%
Infernape
Infernape186 recorded pair observations · 0.12 pair observations per 100 analyzed battles
45.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk845 recorded pair observations · 0.57 pair observations per 100 analyzed battles
40.2%
Gholdengo
Gholdengo656 recorded pair observations · 0.44 pair observations per 100 analyzed battles
40.4%
Kingambit
Kingambit655 recorded pair observations · 0.44 pair observations per 100 analyzed battles
39.9%
Dragapult
Dragapult500 recorded pair observations · 0.33 pair observations per 100 analyzed battles
44.0%
Gliscor
Gliscor500 recorded pair observations · 0.33 pair observations per 100 analyzed battles
45.8%
Dragonite
Dragonite484 recorded pair observations · 0.32 pair observations per 100 analyzed battles
42.4%
Corviknight
Corviknight454 recorded pair observations · 0.30 pair observations per 100 analyzed battles
43.2%
Iron Valiant
Iron Valiant434 recorded pair observations · 0.29 pair observations per 100 analyzed battles
42.2%
Ogerpon-Wellspring
Ogerpon-Wellspring428 recorded pair observations · 0.29 pair observations per 100 analyzed battles
34.8%
Zamazenta-*
Zamazenta-*383 recorded pair observations · 0.26 pair observations per 100 analyzed battles
37.3%
Cinderace
Cinderace352 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.5%
Slowking-Galar
Slowking-Galar344 recorded pair observations · 0.23 pair observations per 100 analyzed battles
41.0%
Hatterene
Hatterene339 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.7%
Raging Bolt
Raging Bolt326 recorded pair observations · 0.22 pair observations per 100 analyzed battles
41.4%
Landorus-Therian
Landorus-Therian325 recorded pair observations · 0.22 pair observations per 100 analyzed battles
40.6%
Ceruledge
Ceruledge316 recorded pair observations · 0.21 pair observations per 100 analyzed battles
46.2%
Samurott-Hisui
Samurott-Hisui316 recorded pair observations · 0.21 pair observations per 100 analyzed battles
33.5%
Alomomola
Alomomola313 recorded pair observations · 0.21 pair observations per 100 analyzed battles
42.5%
Iron Treads
Iron Treads278 recorded pair observations · 0.19 pair observations per 100 analyzed battles
32.7%
Glimmora
Glimmora277 recorded pair observations · 0.19 pair observations per 100 analyzed battles
42.2%

Higher Win-rate Partners

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

Ogerpon
Ogerpon168 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.4%
Porygon2
Porygon2173 recorded pair observations · 0.12 pair observations per 100 analyzed battles
54.9%
Araquanid
Araquanid260 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.6%
Goodra-Hisui
Goodra-Hisui150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.0%
Zapdos-Galar
Zapdos-Galar175 recorded pair observations · 0.12 pair observations per 100 analyzed battles
52.0%
Ting-Lu
Ting-Lu193 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.3%
Hatterene
Hatterene235 recorded pair observations · 0.16 pair observations per 100 analyzed battles
50.6%
Dragapult
Dragapult608 recorded pair observations · 0.41 pair observations per 100 analyzed battles
50.2%
Kingambit
Kingambit597 recorded pair observations · 0.40 pair observations per 100 analyzed battles
50.1%
Iron Valiant
Iron Valiant148 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.0%

Lower Win-rate Partners

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

Gliscor
Gliscor395 recorded pair observations · 0.26 pair observations per 100 analyzed battles
39.8%
Incineroar
Incineroar163 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.9%
Garchomp
Garchomp377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
41.9%
Ceruledge
Ceruledge252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
42.1%
Zoroark-Hisui
Zoroark-Hisui147 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.2%
Gardevoir
Gardevoir238 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.4%
Rillaboom
Rillaboom239 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.1%
Mimikyu
Mimikyu237 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.5%
Tyranitar
Tyranitar167 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.7%
Blaziken
Blaziken230 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.9%

Higher Win-rate Opponent Teams

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

Garchomp
Garchomp210 recorded pair observations · 0.14 pair observations per 100 analyzed battles
49.0%
Primarina
Primarina190 recorded pair observations · 0.13 pair observations per 100 analyzed battles
46.3%
Ceruledge
Ceruledge316 recorded pair observations · 0.21 pair observations per 100 analyzed battles
46.2%
Gliscor
Gliscor500 recorded pair observations · 0.33 pair observations per 100 analyzed battles
45.8%
Cinderace
Cinderace352 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.5%
Clefable
Clefable214 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.3%

Lower Win-rate Opponent Teams

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

Iron Treads
Iron Treads278 recorded pair observations · 0.19 pair observations per 100 analyzed battles
32.7%
Samurott-Hisui
Samurott-Hisui316 recorded pair observations · 0.21 pair observations per 100 analyzed battles
33.5%
Ogerpon-Wellspring
Ogerpon-Wellspring428 recorded pair observations · 0.29 pair observations per 100 analyzed battles
34.8%
Garganacl
Garganacl208 recorded pair observations · 0.14 pair observations per 100 analyzed battles
37.0%
Pecharunt
Pecharunt218 recorded pair observations · 0.15 pair observations per 100 analyzed battles
37.2%
Zamazenta-*
Zamazenta-*383 recorded pair observations · 0.26 pair observations per 100 analyzed battles
37.3%
Darkrai
Darkrai270 recorded pair observations · 0.18 pair observations per 100 analyzed battles
37.4%
Kyurem
Kyurem273 recorded pair observations · 0.18 pair observations per 100 analyzed battles
38.1%
Kingambit
Kingambit655 recorded pair observations · 0.44 pair observations per 100 analyzed battles
39.9%
Great Tusk
Great Tusk845 recorded pair observations · 0.57 pair observations per 100 analyzed battles
40.2%