Last Updated: 10/10/2026 14:13 [UTC]

Blissey

Tier D

OU (Over Used)

2.88%Usage Rate
50.76%Win Rate
7.02%Lead Rate
1229Avg Rating

8593 recorded team appearances · 4362 wins · 4231 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Seismic Toss Recorded use in 2722 of 8593 distinct recorded team appearances (31.7%) 1462 winning team uses of 2722 recorded team uses
53.7%
Soft-Boiled Recorded use in 2265 of 8593 distinct recorded team appearances (26.4%) 1313 winning team uses of 2265 recorded team uses
58.0%
Stealth Rock Recorded use in 1880 of 8593 distinct recorded team appearances (21.9%) 1058 winning team uses of 1880 recorded team uses
56.3%
Calm Mind Recorded use in 1381 of 8593 distinct recorded team appearances (16.1%) 743 winning team uses of 1381 recorded team uses
53.8%
Thunder Wave Recorded use in 857 of 8593 distinct recorded team appearances (10.0%) 415 winning team uses of 857 recorded team uses
48.4%
Shadow Ball Recorded use in 758 of 8593 distinct recorded team appearances (8.8%) 404 winning team uses of 758 recorded team uses
53.3%
Heal Bell Recorded use in 279 of 8593 distinct recorded team appearances (3.2%) 143 winning team uses of 279 recorded team uses
51.3%
Flamethrower Recorded use in 276 of 8593 distinct recorded team appearances (3.2%) 156 winning team uses of 276 recorded team uses
56.5%
Protect Recorded use in 206 of 8593 distinct recorded team appearances (2.4%) 105 winning team uses of 206 recorded team uses
51.0%
Ice Beam Recorded use in 187 of 8593 distinct recorded team appearances (2.2%) 93 winning team uses of 187 recorded team uses
49.7%

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: 2026/09/26 23:07–2026/09/30 15:45 JST 3.15 50.94 74642 2350 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.78 49.09 74642 2078 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 2.74 53.37 74640 2048 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.84 49.69 74640 2117 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 3.00 51.83 60200 1804 Observed
~R1156 3.05 50.22 59416 1810 Observed
~R1268 2.96 50.96 59484 1762 Observed
~R1398 3.14 50.77 59960 1883 Observed
R1398~ 2.24 49.78 59504 1334 Observed

Blissey Observed Statistics

Performance Metrics

Blissey has a reported usage rate of 2.88% and win rate of 50.76% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 4,362 wins and 4,231 losses (8,593 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 3.15% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.84% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=74,640 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 50.94% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=2,350 recorded appearances) and 49.69% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=2,117 recorded appearances), a change of -1.25 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 2.24% (R1398~; n=59,504 team slots) to 3.14% (~R1398; n=59,960 team slots), a spread of 0.90 percentage points. Overall usage was 2.88%. 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, Seismic Toss has the largest recorded team-use count (2,722; 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: Gliscor: 54.0% wins in 4,820 recorded pair observations; Dondozo: 53.5% wins in 4,230 recorded pair observations; Corviknight: 52.9% wins in 3,194 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: Pelipper: 59.1% wins in 357 recorded pair observations; Gengar: 59.0% wins in 200 recorded pair observations; Greninja-*: 58.8% wins in 238 recorded pair observations. Returned lower-win-rate opponent group: Cresselia: 41.8% wins in 206 recorded pair observations; Hoopa-Unbound: 42.3% wins in 241 recorded pair observations; Ogerpon-Wellspring: 42.5% wins in 1,216 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%

Gliscor
Gliscor4820 recorded pair observations · 3.23 pair observations per 100 analyzed battles
54.0%
Dondozo
Dondozo4230 recorded pair observations · 2.83 pair observations per 100 analyzed battles
53.5%
Corviknight
Corviknight3194 recorded pair observations · 2.14 pair observations per 100 analyzed battles
52.9%
Toxapex
Toxapex3137 recorded pair observations · 2.10 pair observations per 100 analyzed battles
53.2%
Alomomola
Alomomola2461 recorded pair observations · 1.65 pair observations per 100 analyzed battles
51.0%
Weezing-Galar
Weezing-Galar1872 recorded pair observations · 1.25 pair observations per 100 analyzed battles
50.8%
Clodsire
Clodsire1860 recorded pair observations · 1.25 pair observations per 100 analyzed battles
54.0%
Skarmory
Skarmory933 recorded pair observations · 0.62 pair observations per 100 analyzed battles
55.2%
Clefable
Clefable894 recorded pair observations · 0.60 pair observations per 100 analyzed battles
54.5%
Pecharunt
Pecharunt724 recorded pair observations · 0.48 pair observations per 100 analyzed battles
54.8%
Garganacl
Garganacl711 recorded pair observations · 0.48 pair observations per 100 analyzed battles
50.2%
Ting-Lu
Ting-Lu684 recorded pair observations · 0.46 pair observations per 100 analyzed battles
46.4%
Talonflame
Talonflame657 recorded pair observations · 0.44 pair observations per 100 analyzed battles
55.4%
Gholdengo
Gholdengo564 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.6%
Amoonguss
Amoonguss490 recorded pair observations · 0.33 pair observations per 100 analyzed battles
54.7%
Mandibuzz
Mandibuzz489 recorded pair observations · 0.33 pair observations per 100 analyzed battles
54.0%
Dragonite
Dragonite465 recorded pair observations · 0.31 pair observations per 100 analyzed battles
44.1%
Samurott-Hisui
Samurott-Hisui447 recorded pair observations · 0.30 pair observations per 100 analyzed battles
56.6%
Ogerpon
Ogerpon432 recorded pair observations · 0.29 pair observations per 100 analyzed battles
57.9%
Lokix
Lokix425 recorded pair observations · 0.28 pair observations per 100 analyzed battles
48.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk2253 recorded pair observations · 1.51 pair observations per 100 analyzed battles
47.9%
Gholdengo
Gholdengo1762 recorded pair observations · 1.18 pair observations per 100 analyzed battles
46.1%
Kingambit
Kingambit1686 recorded pair observations · 1.13 pair observations per 100 analyzed battles
47.4%
Dragonite
Dragonite1304 recorded pair observations · 0.87 pair observations per 100 analyzed battles
51.5%
Gliscor
Gliscor1217 recorded pair observations · 0.82 pair observations per 100 analyzed battles
49.1%
Ogerpon-Wellspring
Ogerpon-Wellspring1216 recorded pair observations · 0.81 pair observations per 100 analyzed battles
42.5%
Dragapult
Dragapult1165 recorded pair observations · 0.78 pair observations per 100 analyzed battles
51.7%
Iron Valiant
Iron Valiant1133 recorded pair observations · 0.76 pair observations per 100 analyzed battles
48.6%
Corviknight
Corviknight1121 recorded pair observations · 0.75 pair observations per 100 analyzed battles
51.4%
Zamazenta-*
Zamazenta-*1110 recorded pair observations · 0.74 pair observations per 100 analyzed battles
47.7%
Raging Bolt
Raging Bolt950 recorded pair observations · 0.64 pair observations per 100 analyzed battles
48.2%
Slowking-Galar
Slowking-Galar929 recorded pair observations · 0.62 pair observations per 100 analyzed battles
46.1%
Hatterene
Hatterene908 recorded pair observations · 0.61 pair observations per 100 analyzed battles
46.6%
Alomomola
Alomomola896 recorded pair observations · 0.60 pair observations per 100 analyzed battles
47.4%
Landorus-Therian
Landorus-Therian889 recorded pair observations · 0.60 pair observations per 100 analyzed battles
46.6%
Cinderace
Cinderace877 recorded pair observations · 0.59 pair observations per 100 analyzed battles
49.8%
Samurott-Hisui
Samurott-Hisui820 recorded pair observations · 0.55 pair observations per 100 analyzed battles
50.1%
Iron Treads
Iron Treads762 recorded pair observations · 0.51 pair observations per 100 analyzed battles
46.6%
Kyurem
Kyurem751 recorded pair observations · 0.50 pair observations per 100 analyzed battles
45.0%
Glimmora
Glimmora743 recorded pair observations · 0.50 pair observations per 100 analyzed battles
45.9%

Higher Win-rate Partners

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

Sinistcha
Sinistcha236 recorded pair observations · 0.16 pair observations per 100 analyzed battles
60.6%
Ogerpon
Ogerpon432 recorded pair observations · 0.29 pair observations per 100 analyzed battles
57.9%
Samurott-Hisui
Samurott-Hisui447 recorded pair observations · 0.30 pair observations per 100 analyzed battles
56.6%
Ditto
Ditto201 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.7%
Talonflame
Talonflame657 recorded pair observations · 0.44 pair observations per 100 analyzed battles
55.4%
Skarmory
Skarmory933 recorded pair observations · 0.62 pair observations per 100 analyzed battles
55.2%
Quagsire
Quagsire185 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.1%
Pecharunt
Pecharunt724 recorded pair observations · 0.48 pair observations per 100 analyzed battles
54.8%
Amoonguss
Amoonguss490 recorded pair observations · 0.33 pair observations per 100 analyzed battles
54.7%
Hydrapple
Hydrapple260 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.6%

Lower Win-rate Partners

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

Hatterene
Hatterene156 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.7%
Dragonite
Dragonite465 recorded pair observations · 0.31 pair observations per 100 analyzed battles
44.1%
Cinderace
Cinderace287 recorded pair observations · 0.19 pair observations per 100 analyzed battles
44.2%
Raging Bolt
Raging Bolt161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.7%
Darkrai
Darkrai274 recorded pair observations · 0.18 pair observations per 100 analyzed battles
46.4%
Jirachi
Jirachi151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.4%
Ting-Lu
Ting-Lu684 recorded pair observations · 0.46 pair observations per 100 analyzed battles
46.4%
Glimmora
Glimmora284 recorded pair observations · 0.19 pair observations per 100 analyzed battles
46.5%
Gengar
Gengar284 recorded pair observations · 0.19 pair observations per 100 analyzed battles
46.8%
Iron Valiant
Iron Valiant315 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.6%

Higher Win-rate Opponent Teams

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

Pelipper
Pelipper357 recorded pair observations · 0.24 pair observations per 100 analyzed battles
59.1%
Gengar
Gengar200 recorded pair observations · 0.13 pair observations per 100 analyzed battles
59.0%
Greninja-*
Greninja-*238 recorded pair observations · 0.16 pair observations per 100 analyzed battles
58.8%
Toxapex
Toxapex319 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.6%
Barraskewda
Barraskewda182 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.7%
Blaziken
Blaziken256 recorded pair observations · 0.17 pair observations per 100 analyzed battles
55.1%
Venusaur
Venusaur187 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.1%
Scizor
Scizor393 recorded pair observations · 0.26 pair observations per 100 analyzed battles
55.0%
Torkoal
Torkoal308 recorded pair observations · 0.21 pair observations per 100 analyzed battles
54.9%
Dondozo
Dondozo379 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.6%

Lower Win-rate Opponent Teams

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

Cresselia
Cresselia206 recorded pair observations · 0.14 pair observations per 100 analyzed battles
41.8%
Hoopa-Unbound
Hoopa-Unbound241 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.3%
Ogerpon-Wellspring
Ogerpon-Wellspring1216 recorded pair observations · 0.81 pair observations per 100 analyzed battles
42.5%
Weezing-Galar
Weezing-Galar341 recorded pair observations · 0.23 pair observations per 100 analyzed battles
42.5%
Lokix
Lokix299 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.5%
Rotom-Wash
Rotom-Wash219 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.3%
Araquanid
Araquanid169 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.4%
Kyurem
Kyurem751 recorded pair observations · 0.50 pair observations per 100 analyzed battles
45.0%
Ribombee
Ribombee166 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.8%
Glimmora
Glimmora743 recorded pair observations · 0.50 pair observations per 100 analyzed battles
45.9%