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

Kyurem

Tier B

OU (Over Used)

9.23%Usage Rate
53.12%Win Rate
18.35%Lead Rate
1297Avg Rating

27571 recorded team appearances · 14645 wins · 12926 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Freeze-Dry Recorded use in 7344 of 27573 distinct recorded team appearances (26.6%) 4148 winning team uses of 7344 recorded team uses
56.5%
Earth Power Recorded use in 6088 of 27573 distinct recorded team appearances (22.1%) 3249 winning team uses of 6088 recorded team uses
53.4%
Ice Beam Recorded use in 4786 of 27573 distinct recorded team appearances (17.4%) 2659 winning team uses of 4786 recorded team uses
55.6%
Icicle Spear Recorded use in 2641 of 27573 distinct recorded team appearances (9.6%) 1429 winning team uses of 2641 recorded team uses
54.1%
Dragon Dance Recorded use in 2443 of 27573 distinct recorded team appearances (8.9%) 1243 winning team uses of 2443 recorded team uses
50.9%
Substitute Recorded use in 1925 of 27573 distinct recorded team appearances (7.0%) 1092 winning team uses of 1925 recorded team uses
56.7%
Draco Meteor Recorded use in 1553 of 27573 distinct recorded team appearances (5.6%) 781 winning team uses of 1553 recorded team uses
50.3%
Blizzard Recorded use in 1337 of 27573 distinct recorded team appearances (4.8%) 724 winning team uses of 1337 recorded team uses
54.2%
Protect Recorded use in 1227 of 27573 distinct recorded team appearances (4.5%) 673 winning team uses of 1227 recorded team uses
54.8%
Scale Shot Recorded use in 1123 of 27573 distinct recorded team appearances (4.1%) 610 winning team uses of 1123 recorded team uses
54.3%

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 9.20 54.03 74640 6869 Observed
Period 2: 2026/09/30 15:45–2026/10/03 23:48 JST 9.15 52.62 74640 6826 Observed
Period 3: 2026/10/03 23:48–2026/10/07 09:55 JST 9.37 52.37 74640 6994 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST 9.22 53.46 74640 6882 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 5.46 60.71 60196 3286 Observed
~R1156 7.01 56.04 59416 4163 Observed
~R1268 9.23 52.70 59484 5493 Observed
~R1398 11.41 50.96 59960 6843 Observed
R1398~ 13.08 50.54 59504 7786 Observed

Kyurem Observed Statistics

Performance Metrics

Kyurem has a reported usage rate of 9.23% and win rate of 53.12% in OU (Over Used) (displayed tier: B). The report covers 09/26/2026 to 10/10/2026, with 149,280 recorded battles. 14,645 wins and 12,926 losses (27,571 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 9.20% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,640 team slots) and 9.22% 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 +0.02 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 54.03% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=6,869 recorded appearances) and 53.46% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=6,882 recorded appearances), a change of -0.57 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 5.46% (~R1084; n=60,196 team slots) to 13.08% (R1398~; n=59,504 team slots), a spread of 7.62 percentage points. Overall usage was 9.23%. 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, Freeze-Dry has the largest recorded team-use count (7,344; 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: 53.5% wins in 9,576 recorded pair observations; Slowking-Galar: 54.3% wins in 9,528 recorded pair observations; Kingambit: 54.5% wins in 8,658 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: Azumarill: 62.0% wins in 334 recorded pair observations; Arcanine-Hisui: 59.9% wins in 357 recorded pair observations; Metagross: 59.5% wins in 309 recorded pair observations. Returned lower-win-rate opponent group: Ogerpon-Cornerstone: 43.4% wins in 419 recorded pair observations; Cresselia: 44.7% wins in 765 recorded pair observations; Manaphy: 45.0% wins in 347 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 Tusk9576 recorded pair observations · 6.41 pair observations per 100 analyzed battles
53.5%
Slowking-Galar
Slowking-Galar9528 recorded pair observations · 6.38 pair observations per 100 analyzed battles
54.3%
Kingambit
Kingambit8658 recorded pair observations · 5.80 pair observations per 100 analyzed battles
54.5%
Gholdengo
Gholdengo6793 recorded pair observations · 4.55 pair observations per 100 analyzed battles
54.0%
Cinderace
Cinderace6181 recorded pair observations · 4.14 pair observations per 100 analyzed battles
53.9%
Landorus-Therian
Landorus-Therian5372 recorded pair observations · 3.60 pair observations per 100 analyzed battles
55.5%
Iron Valiant
Iron Valiant4860 recorded pair observations · 3.26 pair observations per 100 analyzed battles
53.4%
Samurott-Hisui
Samurott-Hisui4020 recorded pair observations · 2.69 pair observations per 100 analyzed battles
54.2%
Ogerpon-Wellspring
Ogerpon-Wellspring3860 recorded pair observations · 2.59 pair observations per 100 analyzed battles
53.9%
Iron Treads
Iron Treads3579 recorded pair observations · 2.40 pair observations per 100 analyzed battles
53.6%
Zamazenta-*
Zamazenta-*3577 recorded pair observations · 2.40 pair observations per 100 analyzed battles
54.4%
Corviknight
Corviknight3279 recorded pair observations · 2.20 pair observations per 100 analyzed battles
54.1%
Hatterene
Hatterene3047 recorded pair observations · 2.04 pair observations per 100 analyzed battles
53.0%
Dragonite
Dragonite2801 recorded pair observations · 1.88 pair observations per 100 analyzed battles
52.3%
Darkrai
Darkrai2775 recorded pair observations · 1.86 pair observations per 100 analyzed battles
52.7%
Zapdos
Zapdos2766 recorded pair observations · 1.85 pair observations per 100 analyzed battles
52.1%
Rillaboom
Rillaboom2709 recorded pair observations · 1.81 pair observations per 100 analyzed battles
54.7%
Ting-Lu
Ting-Lu2270 recorded pair observations · 1.52 pair observations per 100 analyzed battles
56.6%
Alomomola
Alomomola2169 recorded pair observations · 1.45 pair observations per 100 analyzed battles
52.3%
Glimmora
Glimmora2134 recorded pair observations · 1.43 pair observations per 100 analyzed battles
54.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk7831 recorded pair observations · 5.25 pair observations per 100 analyzed battles
51.0%
Gholdengo
Gholdengo5875 recorded pair observations · 3.94 pair observations per 100 analyzed battles
50.8%
Kingambit
Kingambit5632 recorded pair observations · 3.77 pair observations per 100 analyzed battles
49.1%
Ogerpon-Wellspring
Ogerpon-Wellspring4099 recorded pair observations · 2.75 pair observations per 100 analyzed battles
50.7%
Zamazenta-*
Zamazenta-*4045 recorded pair observations · 2.71 pair observations per 100 analyzed battles
48.4%
Dragonite
Dragonite3954 recorded pair observations · 2.65 pair observations per 100 analyzed battles
51.9%
Dragapult
Dragapult3774 recorded pair observations · 2.53 pair observations per 100 analyzed battles
52.8%
Iron Valiant
Iron Valiant3741 recorded pair observations · 2.51 pair observations per 100 analyzed battles
50.5%
Gliscor
Gliscor3639 recorded pair observations · 2.44 pair observations per 100 analyzed battles
56.6%
Corviknight
Corviknight3474 recorded pair observations · 2.33 pair observations per 100 analyzed battles
54.4%
Raging Bolt
Raging Bolt3399 recorded pair observations · 2.28 pair observations per 100 analyzed battles
48.9%
Slowking-Galar
Slowking-Galar3301 recorded pair observations · 2.21 pair observations per 100 analyzed battles
51.1%
Hatterene
Hatterene3240 recorded pair observations · 2.17 pair observations per 100 analyzed battles
51.1%
Cinderace
Cinderace3057 recorded pair observations · 2.05 pair observations per 100 analyzed battles
49.4%
Alomomola
Alomomola2842 recorded pair observations · 1.90 pair observations per 100 analyzed battles
54.8%
Landorus-Therian
Landorus-Therian2828 recorded pair observations · 1.89 pair observations per 100 analyzed battles
48.9%
Samurott-Hisui
Samurott-Hisui2777 recorded pair observations · 1.86 pair observations per 100 analyzed battles
52.0%
Iron Treads
Iron Treads2672 recorded pair observations · 1.79 pair observations per 100 analyzed battles
51.4%
Kyurem
Kyurem2668 recorded pair observations · 1.79 pair observations per 100 analyzed battles
50.0%
Glimmora
Glimmora2546 recorded pair observations · 1.71 pair observations per 100 analyzed battles
53.4%

Higher Win-rate Partners

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

Keldeo-Resolute
Keldeo-Resolute311 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.2%
Clefable
Clefable633 recorded pair observations · 0.42 pair observations per 100 analyzed battles
56.6%
Ting-Lu
Ting-Lu2270 recorded pair observations · 1.52 pair observations per 100 analyzed battles
56.6%
Landorus-Therian
Landorus-Therian5372 recorded pair observations · 3.60 pair observations per 100 analyzed battles
55.5%
Heatran
Heatran708 recorded pair observations · 0.47 pair observations per 100 analyzed battles
55.4%
Clodsire
Clodsire337 recorded pair observations · 0.23 pair observations per 100 analyzed battles
54.9%
Glimmora
Glimmora2134 recorded pair observations · 1.43 pair observations per 100 analyzed battles
54.9%
Garganacl
Garganacl758 recorded pair observations · 0.51 pair observations per 100 analyzed battles
54.8%
Rillaboom
Rillaboom2709 recorded pair observations · 1.81 pair observations per 100 analyzed battles
54.7%
Kingambit
Kingambit8658 recorded pair observations · 5.80 pair observations per 100 analyzed battles
54.5%

Lower Win-rate Partners

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

Walking Wake
Walking Wake360 recorded pair observations · 0.24 pair observations per 100 analyzed battles
46.4%
Regieleki
Regieleki311 recorded pair observations · 0.21 pair observations per 100 analyzed battles
48.5%
Grimmsnarl
Grimmsnarl279 recorded pair observations · 0.19 pair observations per 100 analyzed battles
49.1%
Gliscor
Gliscor1802 recorded pair observations · 1.21 pair observations per 100 analyzed battles
49.6%
Ninetales-Alola
Ninetales-Alola1080 recorded pair observations · 0.72 pair observations per 100 analyzed battles
49.7%
Garchomp
Garchomp495 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.9%
Pelipper
Pelipper287 recorded pair observations · 0.19 pair observations per 100 analyzed battles
50.2%
Deoxys-Speed
Deoxys-Speed1099 recorded pair observations · 0.74 pair observations per 100 analyzed battles
50.3%
Cresselia
Cresselia419 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.5%
Mandibuzz
Mandibuzz377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.5%

Higher Win-rate Opponent Teams

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

Azumarill
Azumarill334 recorded pair observations · 0.22 pair observations per 100 analyzed battles
62.0%
Arcanine-Hisui
Arcanine-Hisui357 recorded pair observations · 0.24 pair observations per 100 analyzed battles
59.9%
Metagross
Metagross309 recorded pair observations · 0.21 pair observations per 100 analyzed battles
59.5%
Zoroark-Hisui
Zoroark-Hisui346 recorded pair observations · 0.23 pair observations per 100 analyzed battles
59.0%
Espeon
Espeon316 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.9%
Regieleki
Regieleki313 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.8%
Gengar
Gengar467 recorded pair observations · 0.31 pair observations per 100 analyzed battles
58.5%
Cloyster
Cloyster329 recorded pair observations · 0.22 pair observations per 100 analyzed battles
58.4%
Serperior
Serperior643 recorded pair observations · 0.43 pair observations per 100 analyzed battles
58.3%
Rotom-Wash
Rotom-Wash609 recorded pair observations · 0.41 pair observations per 100 analyzed battles
58.1%

Lower Win-rate Opponent Teams

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

Ogerpon-Cornerstone
Ogerpon-Cornerstone419 recorded pair observations · 0.28 pair observations per 100 analyzed battles
43.4%
Cresselia
Cresselia765 recorded pair observations · 0.51 pair observations per 100 analyzed battles
44.7%
Manaphy
Manaphy347 recorded pair observations · 0.23 pair observations per 100 analyzed battles
45.0%
Ribombee
Ribombee559 recorded pair observations · 0.37 pair observations per 100 analyzed battles
46.1%
Ninetales-Alola
Ninetales-Alola642 recorded pair observations · 0.43 pair observations per 100 analyzed battles
46.4%
Keldeo-Resolute
Keldeo-Resolute297 recorded pair observations · 0.20 pair observations per 100 analyzed battles
46.8%
Indeedee
Indeedee400 recorded pair observations · 0.27 pair observations per 100 analyzed battles
47.8%
Iron Crown
Iron Crown1150 recorded pair observations · 0.77 pair observations per 100 analyzed battles
47.8%
Zamazenta-*
Zamazenta-*4045 recorded pair observations · 2.71 pair observations per 100 analyzed battles
48.4%
Hoopa-Unbound
Hoopa-Unbound846 recorded pair observations · 0.57 pair observations per 100 analyzed battles
48.7%