Last Updated: 10/10/2026 14:12 [UTC]

Slowking-Galar

Tier B

OU (Over Used)

11.00%Usage Rate
52.01%Win Rate
13.60%Lead Rate
1291Avg Rating

32850 recorded team appearances · 17084 wins · 15766 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Chilly Reception Recorded use in 11299 of 32852 distinct recorded team appearances (34.4%) 6153 winning team uses of 11299 recorded team uses
54.5%
Future Sight Recorded use in 8233 of 32852 distinct recorded team appearances (25.1%) 4296 winning team uses of 8233 recorded team uses
52.2%
Sludge Bomb Recorded use in 8010 of 32852 distinct recorded team appearances (24.4%) 4350 winning team uses of 8010 recorded team uses
54.3%
Thunder Wave Recorded use in 3995 of 32852 distinct recorded team appearances (12.2%) 2072 winning team uses of 3995 recorded team uses
51.9%
Flamethrower Recorded use in 1909 of 32852 distinct recorded team appearances (5.8%) 977 winning team uses of 1909 recorded team uses
51.2%
Ice Beam Recorded use in 1815 of 32852 distinct recorded team appearances (5.5%) 979 winning team uses of 1815 recorded team uses
53.9%
Psychic Noise Recorded use in 1609 of 32852 distinct recorded team appearances (4.9%) 896 winning team uses of 1609 recorded team uses
55.7%
Toxic Recorded use in 1567 of 32852 distinct recorded team appearances (4.8%) 797 winning team uses of 1567 recorded team uses
50.9%
Psyshock Recorded use in 958 of 32852 distinct recorded team appearances (2.9%) 528 winning team uses of 958 recorded team uses
55.1%
Trick Recorded use in 649 of 32852 distinct recorded team appearances (2.0%) 364 winning team uses of 649 recorded team uses
56.1%

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 11.45 52.50 74640 8550 Observed
Period 2: 2026/09/30 15:45–2026/10/03 23:48 JST 11.06 52.03 74640 8253 Observed
Period 3: 2026/10/03 23:48–2026/10/07 09:55 JST 11.13 51.79 74640 8309 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST 10.37 51.67 74640 7738 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 6.99 58.56 60196 4208 Observed
~R1156 8.30 54.60 59416 4930 Observed
~R1268 11.21 51.97 59484 6666 Observed
~R1398 13.81 49.47 59960 8281 Observed
R1398~ 14.73 49.82 59504 8765 Observed

Slowking-Galar Observed Statistics

Performance Metrics

Slowking-Galar has a reported usage rate of 11.00% and win rate of 52.01% in OU (Over Used) (displayed tier: B). The report covers 09/26/2026 to 10/10/2026, with 149,280 recorded battles. 17,084 wins and 15,766 losses (32,850 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 11.45% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,640 team slots) and 10.37% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=74,640 team slots), a change of -1.08 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 52.50% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=8,550 recorded appearances) and 51.67% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=7,738 recorded appearances), a change of -0.83 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 6.99% (~R1084; n=60,196 team slots) to 14.73% (R1398~; n=59,504 team slots), a spread of 7.74 percentage points. Overall usage was 11.00%. 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, Chilly Reception has the largest recorded team-use count (11,299; 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: Great Tusk: 53.2% wins in 14,502 recorded pair observations; Kingambit: 54.7% wins in 10,011 recorded pair observations; Kyurem: 54.3% wins in 9,528 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: Gengar: 59.7% wins in 566 recorded pair observations; Milotic: 59.0% wins in 344 recorded pair observations; Cloyster: 58.7% wins in 404 recorded pair observations. Returned lower-win-rate opponent group: Cresselia: 43.3% wins in 922 recorded pair observations; Ogerpon-Cornerstone: 44.5% wins in 505 recorded pair observations; Indeedee: 45.8% wins in 443 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%

Great Tusk
Great Tusk14502 recorded pair observations · 9.71 pair observations per 100 analyzed battles
53.2%
Kingambit
Kingambit10011 recorded pair observations · 6.71 pair observations per 100 analyzed battles
54.7%
Kyurem
Kyurem9528 recorded pair observations · 6.38 pair observations per 100 analyzed battles
54.3%
Cinderace
Cinderace7918 recorded pair observations · 5.30 pair observations per 100 analyzed battles
54.2%
Corviknight
Corviknight6479 recorded pair observations · 4.34 pair observations per 100 analyzed battles
53.5%
Ogerpon-Wellspring
Ogerpon-Wellspring5663 recorded pair observations · 3.79 pair observations per 100 analyzed battles
52.9%
Landorus-Therian
Landorus-Therian4840 recorded pair observations · 3.24 pair observations per 100 analyzed battles
54.1%
Dragapult
Dragapult4770 recorded pair observations · 3.20 pair observations per 100 analyzed battles
50.4%
Gholdengo
Gholdengo4737 recorded pair observations · 3.17 pair observations per 100 analyzed battles
50.3%
Zamazenta-*
Zamazenta-*4552 recorded pair observations · 3.05 pair observations per 100 analyzed battles
52.3%
Iron Valiant
Iron Valiant4414 recorded pair observations · 2.96 pair observations per 100 analyzed battles
52.9%
Alomomola
Alomomola4372 recorded pair observations · 2.93 pair observations per 100 analyzed battles
49.3%
Zapdos
Zapdos3904 recorded pair observations · 2.62 pair observations per 100 analyzed battles
51.5%
Ting-Lu
Ting-Lu3529 recorded pair observations · 2.36 pair observations per 100 analyzed battles
52.9%
Samurott-Hisui
Samurott-Hisui3501 recorded pair observations · 2.35 pair observations per 100 analyzed battles
54.9%
Gliscor
Gliscor3300 recorded pair observations · 2.21 pair observations per 100 analyzed battles
51.7%
Dragonite
Dragonite2797 recorded pair observations · 1.87 pair observations per 100 analyzed battles
50.3%
Raging Bolt
Raging Bolt2770 recorded pair observations · 1.86 pair observations per 100 analyzed battles
54.0%
Darkrai
Darkrai2531 recorded pair observations · 1.70 pair observations per 100 analyzed battles
52.5%
Hatterene
Hatterene2311 recorded pair observations · 1.55 pair observations per 100 analyzed battles
51.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk9381 recorded pair observations · 6.28 pair observations per 100 analyzed battles
49.6%
Gholdengo
Gholdengo6977 recorded pair observations · 4.67 pair observations per 100 analyzed battles
50.1%
Kingambit
Kingambit6604 recorded pair observations · 4.42 pair observations per 100 analyzed battles
47.6%
Ogerpon-Wellspring
Ogerpon-Wellspring4895 recorded pair observations · 3.28 pair observations per 100 analyzed battles
48.8%
Dragonite
Dragonite4705 recorded pair observations · 3.15 pair observations per 100 analyzed battles
50.8%
Zamazenta-*
Zamazenta-*4648 recorded pair observations · 3.11 pair observations per 100 analyzed battles
49.5%
Iron Valiant
Iron Valiant4588 recorded pair observations · 3.07 pair observations per 100 analyzed battles
50.1%
Dragapult
Dragapult4512 recorded pair observations · 3.02 pair observations per 100 analyzed battles
51.4%
Gliscor
Gliscor4396 recorded pair observations · 2.94 pair observations per 100 analyzed battles
53.2%
Corviknight
Corviknight4160 recorded pair observations · 2.79 pair observations per 100 analyzed battles
52.6%
Slowking-Galar
Slowking-Galar4052 recorded pair observations · 2.71 pair observations per 100 analyzed battles
50.0%
Raging Bolt
Raging Bolt4023 recorded pair observations · 2.69 pair observations per 100 analyzed battles
48.8%
Hatterene
Hatterene3826 recorded pair observations · 2.56 pair observations per 100 analyzed battles
51.4%
Cinderace
Cinderace3678 recorded pair observations · 2.46 pair observations per 100 analyzed battles
49.2%
Alomomola
Alomomola3444 recorded pair observations · 2.31 pair observations per 100 analyzed battles
52.4%
Landorus-Therian
Landorus-Therian3339 recorded pair observations · 2.24 pair observations per 100 analyzed battles
48.6%
Samurott-Hisui
Samurott-Hisui3330 recorded pair observations · 2.23 pair observations per 100 analyzed battles
49.6%
Kyurem
Kyurem3301 recorded pair observations · 2.21 pair observations per 100 analyzed battles
48.9%
Iron Treads
Iron Treads3160 recorded pair observations · 2.12 pair observations per 100 analyzed battles
49.3%
Glimmora
Glimmora2953 recorded pair observations · 1.98 pair observations per 100 analyzed battles
52.4%

Higher Win-rate Partners

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

Thundurus
Thundurus353 recorded pair observations · 0.24 pair observations per 100 analyzed battles
75.3%
Iron Moth
Iron Moth882 recorded pair observations · 0.59 pair observations per 100 analyzed battles
60.1%
Keldeo-Resolute
Keldeo-Resolute371 recorded pair observations · 0.25 pair observations per 100 analyzed battles
55.0%
Sinistcha
Sinistcha444 recorded pair observations · 0.30 pair observations per 100 analyzed battles
55.0%
Samurott-Hisui
Samurott-Hisui3501 recorded pair observations · 2.35 pair observations per 100 analyzed battles
54.9%
Kingambit
Kingambit10011 recorded pair observations · 6.71 pair observations per 100 analyzed battles
54.7%
Kyurem
Kyurem9528 recorded pair observations · 6.38 pair observations per 100 analyzed battles
54.3%
Cinderace
Cinderace7918 recorded pair observations · 5.30 pair observations per 100 analyzed battles
54.2%
Hydrapple
Hydrapple2065 recorded pair observations · 1.38 pair observations per 100 analyzed battles
54.2%
Landorus-Therian
Landorus-Therian4840 recorded pair observations · 3.24 pair observations per 100 analyzed battles
54.1%

Lower Win-rate Partners

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

Torkoal
Torkoal392 recorded pair observations · 0.26 pair observations per 100 analyzed battles
45.4%
Toxapex
Toxapex623 recorded pair observations · 0.42 pair observations per 100 analyzed battles
45.6%
Pecharunt
Pecharunt444 recorded pair observations · 0.30 pair observations per 100 analyzed battles
45.7%
Clodsire
Clodsire439 recorded pair observations · 0.29 pair observations per 100 analyzed battles
46.2%
Swampert
Swampert408 recorded pair observations · 0.27 pair observations per 100 analyzed battles
47.3%
Ninetales-Alola
Ninetales-Alola453 recorded pair observations · 0.30 pair observations per 100 analyzed battles
47.5%
Latios
Latios334 recorded pair observations · 0.22 pair observations per 100 analyzed battles
48.2%
Quaquaval
Quaquaval331 recorded pair observations · 0.22 pair observations per 100 analyzed battles
48.3%
Garchomp
Garchomp1013 recorded pair observations · 0.68 pair observations per 100 analyzed battles
48.5%
Iron Treads
Iron Treads2237 recorded pair observations · 1.50 pair observations per 100 analyzed battles
48.5%

Higher Win-rate Opponent Teams

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

Gengar
Gengar566 recorded pair observations · 0.38 pair observations per 100 analyzed battles
59.7%
Milotic
Milotic344 recorded pair observations · 0.23 pair observations per 100 analyzed battles
59.0%
Cloyster
Cloyster404 recorded pair observations · 0.27 pair observations per 100 analyzed battles
58.7%
Venusaur
Venusaur712 recorded pair observations · 0.48 pair observations per 100 analyzed battles
57.9%
Metagross
Metagross377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
57.6%
Grimmsnarl
Grimmsnarl505 recorded pair observations · 0.34 pair observations per 100 analyzed battles
56.6%
Toxapex
Toxapex1168 recorded pair observations · 0.78 pair observations per 100 analyzed battles
56.5%
Zoroark-Hisui
Zoroark-Hisui406 recorded pair observations · 0.27 pair observations per 100 analyzed battles
56.4%
Rotom-Wash
Rotom-Wash705 recorded pair observations · 0.47 pair observations per 100 analyzed battles
56.2%
Talonflame
Talonflame407 recorded pair observations · 0.27 pair observations per 100 analyzed battles
56.0%

Lower Win-rate Opponent Teams

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

Cresselia
Cresselia922 recorded pair observations · 0.62 pair observations per 100 analyzed battles
43.3%
Ogerpon-Cornerstone
Ogerpon-Cornerstone505 recorded pair observations · 0.34 pair observations per 100 analyzed battles
44.5%
Indeedee
Indeedee443 recorded pair observations · 0.30 pair observations per 100 analyzed battles
45.8%
Ninetales-Alola
Ninetales-Alola745 recorded pair observations · 0.50 pair observations per 100 analyzed battles
46.4%
Ursaluna
Ursaluna860 recorded pair observations · 0.58 pair observations per 100 analyzed battles
46.4%
Moltres-Galar
Moltres-Galar384 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.1%
Hoopa-Unbound
Hoopa-Unbound1018 recorded pair observations · 0.68 pair observations per 100 analyzed battles
47.2%
Keldeo-Resolute
Keldeo-Resolute385 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.5%
Iron Crown
Iron Crown1279 recorded pair observations · 0.86 pair observations per 100 analyzed battles
47.6%
Kingambit
Kingambit6604 recorded pair observations · 4.42 pair observations per 100 analyzed battles
47.6%