Last Updated: 10/10/2026 14:11 [UTC]

Walking Wake

Tier C

OU (Over Used)

6.53%Usage Rate
52.19%Win Rate
11.59%Lead Rate
1267Avg Rating

19486 recorded team appearances · 10169 wins · 9317 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Hydro Steam Recorded use in 7000 of 19487 distinct recorded team appearances (35.9%) 3683 winning team uses of 7000 recorded team uses
52.6%
Draco Meteor Recorded use in 4565 of 19487 distinct recorded team appearances (23.4%) 2282 winning team uses of 4565 recorded team uses
50.0%
Flamethrower Recorded use in 1942 of 19487 distinct recorded team appearances (10.0%) 1057 winning team uses of 1942 recorded team uses
54.4%
Flip Turn Recorded use in 1585 of 19487 distinct recorded team appearances (8.1%) 780 winning team uses of 1585 recorded team uses
49.2%
Dragon Pulse Recorded use in 1523 of 19487 distinct recorded team appearances (7.8%) 763 winning team uses of 1523 recorded team uses
50.1%
Surf Recorded use in 867 of 19487 distinct recorded team appearances (4.4%) 460 winning team uses of 867 recorded team uses
53.1%
Weather Ball Recorded use in 681 of 19487 distinct recorded team appearances (3.5%) 390 winning team uses of 681 recorded team uses
57.3%
Knock Off Recorded use in 645 of 19487 distinct recorded team appearances (3.3%) 307 winning team uses of 645 recorded team uses
47.6%
Hydro Pump Recorded use in 306 of 19487 distinct recorded team appearances (1.6%) 139 winning team uses of 306 recorded team uses
45.4%
Scald Recorded use in 275 of 19487 distinct recorded team appearances (1.4%) 143 winning team uses of 275 recorded team uses
52.0%

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 6.52 52.51 74642 4866 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 6.81 52.74 74642 5080 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 6.65 52.07 74640 4964 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 6.13 51.35 74640 4576 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 4.56 57.59 60200 2747 Observed
~R1156 6.23 53.55 59416 3701 Observed
~R1268 7.28 51.33 59484 4329 Observed
~R1398 7.28 49.11 59960 4366 Observed
R1398~ 7.30 51.55 59504 4343 Observed

Walking Wake Observed Statistics

Performance Metrics

Walking Wake has a reported usage rate of 6.53% and win rate of 52.19% in OU (Over Used) (displayed tier: C). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 10,169 wins and 9,317 losses (19,486 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 6.52% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 6.13% 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 -0.39 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 52.51% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=4,866 recorded appearances) and 51.35% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=4,576 recorded appearances), a change of -1.16 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 4.56% (~R1084; n=60,200 team slots) to 7.30% (R1398~; n=59,504 team slots), a spread of 2.74 percentage points. Overall usage was 6.53%. 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, Hydro Steam has the largest recorded team-use count (7,000; 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 11,256 recorded pair observations; Ninetales: 52.7% wins in 6,839 recorded pair observations; Torkoal: 53.0% wins in 6,299 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: Arcanine-Hisui: 64.5% wins in 242 recorded pair observations; Metagross: 60.4% wins in 260 recorded pair observations; Milotic: 59.2% wins in 201 recorded pair observations. Returned lower-win-rate opponent group: Armarouge: 45.3% wins in 212 recorded pair observations; Raging Bolt: 45.4% wins in 2,245 recorded pair observations; Heatran: 46.1% wins in 753 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 Tusk11256 recorded pair observations · 7.54 pair observations per 100 analyzed battles
53.2%
Ninetales
Ninetales6839 recorded pair observations · 4.58 pair observations per 100 analyzed battles
52.7%
Torkoal
Torkoal6299 recorded pair observations · 4.22 pair observations per 100 analyzed battles
53.0%
Ceruledge
Ceruledge5009 recorded pair observations · 3.36 pair observations per 100 analyzed battles
51.3%
Hatterene
Hatterene4834 recorded pair observations · 3.24 pair observations per 100 analyzed battles
52.3%
Venusaur
Venusaur4327 recorded pair observations · 2.90 pair observations per 100 analyzed battles
52.4%
Raging Bolt
Raging Bolt4122 recorded pair observations · 2.76 pair observations per 100 analyzed battles
54.9%
Kingambit
Kingambit2659 recorded pair observations · 1.78 pair observations per 100 analyzed battles
55.0%
Gholdengo
Gholdengo2607 recorded pair observations · 1.75 pair observations per 100 analyzed battles
53.4%
Slither Wing
Slither Wing2060 recorded pair observations · 1.38 pair observations per 100 analyzed battles
54.2%
Corviknight
Corviknight1817 recorded pair observations · 1.22 pair observations per 100 analyzed battles
53.4%
Dragonite
Dragonite1791 recorded pair observations · 1.20 pair observations per 100 analyzed battles
53.7%
Cinderace
Cinderace1692 recorded pair observations · 1.13 pair observations per 100 analyzed battles
52.5%
Cresselia
Cresselia1520 recorded pair observations · 1.02 pair observations per 100 analyzed battles
52.4%
Iron Moth
Iron Moth1518 recorded pair observations · 1.02 pair observations per 100 analyzed battles
51.7%
Iron Valiant
Iron Valiant1424 recorded pair observations · 0.95 pair observations per 100 analyzed battles
54.1%
Pecharunt
Pecharunt1379 recorded pair observations · 0.92 pair observations per 100 analyzed battles
53.4%
Lilligant-Hisui
Lilligant-Hisui1367 recorded pair observations · 0.92 pair observations per 100 analyzed battles
52.7%
Zamazenta-*
Zamazenta-*1256 recorded pair observations · 0.84 pair observations per 100 analyzed battles
53.4%
Ting-Lu
Ting-Lu1245 recorded pair observations · 0.83 pair observations per 100 analyzed battles
54.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk5516 recorded pair observations · 3.70 pair observations per 100 analyzed battles
50.4%
Gholdengo
Gholdengo4227 recorded pair observations · 2.83 pair observations per 100 analyzed battles
52.4%
Kingambit
Kingambit3894 recorded pair observations · 2.61 pair observations per 100 analyzed battles
50.5%
Dragonite
Dragonite2816 recorded pair observations · 1.89 pair observations per 100 analyzed battles
50.6%
Ogerpon-Wellspring
Ogerpon-Wellspring2761 recorded pair observations · 1.85 pair observations per 100 analyzed battles
49.1%
Zamazenta-*
Zamazenta-*2716 recorded pair observations · 1.82 pair observations per 100 analyzed battles
49.5%
Dragapult
Dragapult2698 recorded pair observations · 1.81 pair observations per 100 analyzed battles
51.6%
Iron Valiant
Iron Valiant2637 recorded pair observations · 1.77 pair observations per 100 analyzed battles
48.5%
Gliscor
Gliscor2636 recorded pair observations · 1.77 pair observations per 100 analyzed battles
54.3%
Corviknight
Corviknight2444 recorded pair observations · 1.64 pair observations per 100 analyzed battles
52.3%
Raging Bolt
Raging Bolt2245 recorded pair observations · 1.50 pair observations per 100 analyzed battles
45.4%
Slowking-Galar
Slowking-Galar2213 recorded pair observations · 1.48 pair observations per 100 analyzed battles
47.6%
Hatterene
Hatterene2188 recorded pair observations · 1.47 pair observations per 100 analyzed battles
48.0%
Cinderace
Cinderace2105 recorded pair observations · 1.41 pair observations per 100 analyzed battles
49.9%
Alomomola
Alomomola1975 recorded pair observations · 1.32 pair observations per 100 analyzed battles
51.1%
Samurott-Hisui
Samurott-Hisui1964 recorded pair observations · 1.32 pair observations per 100 analyzed battles
48.2%
Landorus-Therian
Landorus-Therian1909 recorded pair observations · 1.28 pair observations per 100 analyzed battles
49.4%
Kyurem
Kyurem1810 recorded pair observations · 1.21 pair observations per 100 analyzed battles
49.5%
Iron Treads
Iron Treads1805 recorded pair observations · 1.21 pair observations per 100 analyzed battles
50.1%
Darkrai
Darkrai1717 recorded pair observations · 1.15 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%

Iron Treads
Iron Treads883 recorded pair observations · 0.59 pair observations per 100 analyzed battles
55.1%
Kingambit
Kingambit2659 recorded pair observations · 1.78 pair observations per 100 analyzed battles
55.0%
Landorus-Therian
Landorus-Therian1164 recorded pair observations · 0.78 pair observations per 100 analyzed battles
54.9%
Raging Bolt
Raging Bolt4122 recorded pair observations · 2.76 pair observations per 100 analyzed battles
54.9%
Samurott-Hisui
Samurott-Hisui1121 recorded pair observations · 0.75 pair observations per 100 analyzed battles
54.9%
Tornadus-Therian
Tornadus-Therian244 recorded pair observations · 0.16 pair observations per 100 analyzed battles
54.9%
Rillaboom
Rillaboom1027 recorded pair observations · 0.69 pair observations per 100 analyzed battles
54.3%
Ting-Lu
Ting-Lu1245 recorded pair observations · 0.83 pair observations per 100 analyzed battles
54.3%
Slither Wing
Slither Wing2060 recorded pair observations · 1.38 pair observations per 100 analyzed battles
54.2%
Iron Valiant
Iron Valiant1424 recorded pair observations · 0.95 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%

Deoxys-Speed
Deoxys-Speed428 recorded pair observations · 0.29 pair observations per 100 analyzed battles
46.0%
Kyurem
Kyurem360 recorded pair observations · 0.24 pair observations per 100 analyzed battles
46.4%
Serperior
Serperior247 recorded pair observations · 0.17 pair observations per 100 analyzed battles
46.6%
Gliscor
Gliscor936 recorded pair observations · 0.63 pair observations per 100 analyzed battles
46.9%
Alomomola
Alomomola546 recorded pair observations · 0.37 pair observations per 100 analyzed battles
47.6%
Charizard
Charizard435 recorded pair observations · 0.29 pair observations per 100 analyzed battles
47.8%
Dragapult
Dragapult1093 recorded pair observations · 0.73 pair observations per 100 analyzed battles
47.9%
Clefable
Clefable517 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.5%
Thundurus
Thundurus205 recorded pair observations · 0.14 pair observations per 100 analyzed battles
48.8%
Hoopa-Unbound
Hoopa-Unbound242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
49.2%

Higher Win-rate Opponent Teams

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

Arcanine-Hisui
Arcanine-Hisui242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
64.5%
Metagross
Metagross260 recorded pair observations · 0.17 pair observations per 100 analyzed battles
60.4%
Milotic
Milotic201 recorded pair observations · 0.13 pair observations per 100 analyzed battles
59.2%
Gyarados
Gyarados210 recorded pair observations · 0.14 pair observations per 100 analyzed battles
59.0%
Gengar
Gengar385 recorded pair observations · 0.26 pair observations per 100 analyzed battles
57.9%
Zoroark-Hisui
Zoroark-Hisui242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
57.9%
Azumarill
Azumarill227 recorded pair observations · 0.15 pair observations per 100 analyzed battles
57.3%
Quaquaval
Quaquaval358 recorded pair observations · 0.24 pair observations per 100 analyzed battles
57.0%
Greninja-*
Greninja-*511 recorded pair observations · 0.34 pair observations per 100 analyzed battles
56.8%
Venusaur
Venusaur437 recorded pair observations · 0.29 pair observations per 100 analyzed battles
56.5%

Lower Win-rate Opponent Teams

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

Armarouge
Armarouge212 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.3%
Raging Bolt
Raging Bolt2245 recorded pair observations · 1.50 pair observations per 100 analyzed battles
45.4%
Heatran
Heatran753 recorded pair observations · 0.50 pair observations per 100 analyzed battles
46.1%
Iron Moth
Iron Moth1424 recorded pair observations · 0.95 pair observations per 100 analyzed battles
46.2%
Indeedee
Indeedee270 recorded pair observations · 0.18 pair observations per 100 analyzed battles
46.3%
Ogerpon-Cornerstone
Ogerpon-Cornerstone283 recorded pair observations · 0.19 pair observations per 100 analyzed battles
46.3%
Hydreigon
Hydreigon273 recorded pair observations · 0.18 pair observations per 100 analyzed battles
46.5%
Hawlucha
Hawlucha488 recorded pair observations · 0.33 pair observations per 100 analyzed battles
46.9%
Ogerpon
Ogerpon774 recorded pair observations · 0.52 pair observations per 100 analyzed battles
47.0%
Blissey
Blissey548 recorded pair observations · 0.37 pair observations per 100 analyzed battles
47.1%