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

Ogerpon-Wellspring

Tier B

OU (Over Used)

13.84%Usage Rate
53.22%Win Rate
13.75%Lead Rate
1288Avg Rating

41311 recorded team appearances · 21987 wins · 19324 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Ivy Cudgel Recorded use in 17917 of 41312 distinct recorded team appearances (43.4%) 9939 winning team uses of 17917 recorded team uses
55.5%
Swords Dance Recorded use in 7757 of 41312 distinct recorded team appearances (18.8%) 4023 winning team uses of 7757 recorded team uses
51.9%
Knock Off Recorded use in 5245 of 41312 distinct recorded team appearances (12.7%) 2873 winning team uses of 5245 recorded team uses
54.8%
Horn Leech Recorded use in 4953 of 41312 distinct recorded team appearances (12.0%) 2813 winning team uses of 4953 recorded team uses
56.8%
U-turn Recorded use in 4658 of 41312 distinct recorded team appearances (11.3%) 2524 winning team uses of 4658 recorded team uses
54.2%
Play Rough Recorded use in 2754 of 41312 distinct recorded team appearances (6.7%) 1517 winning team uses of 2754 recorded team uses
55.1%
Trailblaze Recorded use in 2487 of 41312 distinct recorded team appearances (6.0%) 1397 winning team uses of 2487 recorded team uses
56.2%
Power Whip Recorded use in 2337 of 41312 distinct recorded team appearances (5.7%) 1271 winning team uses of 2337 recorded team uses
54.4%
Encore Recorded use in 1796 of 41312 distinct recorded team appearances (4.3%) 1074 winning team uses of 1796 recorded team uses
59.8%
Taunt Recorded use in 764 of 41312 distinct recorded team appearances (1.8%) 418 winning team uses of 764 recorded team uses
54.7%

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 13.05 53.71 74640 9741 Observed
Period 2: 2026/09/30 15:45–2026/10/03 23:48 JST 13.50 52.79 74640 10079 Observed
Period 3: 2026/10/03 23:48–2026/10/07 09:55 JST 14.47 52.67 74640 10804 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST 14.32 53.74 74640 10687 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 8.40 59.61 60196 5056 Observed
~R1156 11.54 55.07 59416 6858 Observed
~R1268 14.38 52.84 59484 8551 Observed
~R1398 16.43 52.12 59960 9849 Observed
R1398~ 18.48 50.42 59504 10997 Observed

Ogerpon-Wellspring Observed Statistics

Performance Metrics

Ogerpon-Wellspring has a reported usage rate of 13.84% and win rate of 53.22% in OU (Over Used) (displayed tier: B). The report covers 09/26/2026 to 10/10/2026, with 149,280 recorded battles. 21,987 wins and 19,324 losses (41,311 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 13.05% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,640 team slots) and 14.32% 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 +1.27 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 53.71% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=9,741 recorded appearances) and 53.74% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=10,687 recorded appearances), a change of +0.03 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 8.40% (~R1084; n=60,196 team slots) to 18.48% (R1398~; n=59,504 team slots), a spread of 10.08 percentage points. Overall usage was 13.84%. 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, Ivy Cudgel has the largest recorded team-use count (17,917; 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: 52.7% wins in 14,561 recorded pair observations; Kingambit: 53.9% wins in 14,041 recorded pair observations; Gholdengo: 52.5% wins in 11,786 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: Milotic: 65.2% wins in 428 recorded pair observations; Zoroark-Hisui: 64.1% wins in 471 recorded pair observations; Metagross: 63.8% wins in 453 recorded pair observations. Returned lower-win-rate opponent group: Ogerpon-Cornerstone: 46.8% wins in 671 recorded pair observations; Slither Wing: 47.4% wins in 635 recorded pair observations; Raging Bolt: 47.7% wins in 5,042 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 Tusk14561 recorded pair observations · 9.75 pair observations per 100 analyzed battles
52.7%
Kingambit
Kingambit14041 recorded pair observations · 9.41 pair observations per 100 analyzed battles
53.9%
Gholdengo
Gholdengo11786 recorded pair observations · 7.90 pair observations per 100 analyzed battles
52.5%
Dragapult
Dragapult8121 recorded pair observations · 5.44 pair observations per 100 analyzed battles
51.5%
Raging Bolt
Raging Bolt8084 recorded pair observations · 5.42 pair observations per 100 analyzed battles
55.4%
Zamazenta-*
Zamazenta-*7862 recorded pair observations · 5.27 pair observations per 100 analyzed battles
56.4%
Iron Valiant
Iron Valiant6559 recorded pair observations · 4.39 pair observations per 100 analyzed battles
53.1%
Gliscor
Gliscor6253 recorded pair observations · 4.19 pair observations per 100 analyzed battles
52.3%
Dragonite
Dragonite5934 recorded pair observations · 3.98 pair observations per 100 analyzed battles
53.1%
Landorus-Therian
Landorus-Therian5923 recorded pair observations · 3.97 pair observations per 100 analyzed battles
54.6%
Slowking-Galar
Slowking-Galar5663 recorded pair observations · 3.79 pair observations per 100 analyzed battles
52.9%
Hatterene
Hatterene5466 recorded pair observations · 3.66 pair observations per 100 analyzed battles
54.8%
Glimmora
Glimmora5417 recorded pair observations · 3.63 pair observations per 100 analyzed battles
55.3%
Ting-Lu
Ting-Lu5060 recorded pair observations · 3.39 pair observations per 100 analyzed battles
52.7%
Darkrai
Darkrai4851 recorded pair observations · 3.25 pair observations per 100 analyzed battles
53.2%
Iron Moth
Iron Moth4524 recorded pair observations · 3.03 pair observations per 100 analyzed battles
55.1%
Cinderace
Cinderace4445 recorded pair observations · 2.98 pair observations per 100 analyzed battles
54.7%
Iron Treads
Iron Treads3944 recorded pair observations · 2.64 pair observations per 100 analyzed battles
54.9%
Kyurem
Kyurem3860 recorded pair observations · 2.59 pair observations per 100 analyzed battles
53.9%
Corviknight
Corviknight3732 recorded pair observations · 2.50 pair observations per 100 analyzed battles
51.7%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk11688 recorded pair observations · 7.83 pair observations per 100 analyzed battles
50.5%
Gholdengo
Gholdengo8652 recorded pair observations · 5.80 pair observations per 100 analyzed battles
52.2%
Kingambit
Kingambit8251 recorded pair observations · 5.53 pair observations per 100 analyzed battles
50.6%
Zamazenta-*
Zamazenta-*6005 recorded pair observations · 4.02 pair observations per 100 analyzed battles
47.8%
Dragonite
Dragonite5962 recorded pair observations · 3.99 pair observations per 100 analyzed battles
49.8%
Ogerpon-Wellspring
Ogerpon-Wellspring5926 recorded pair observations · 3.97 pair observations per 100 analyzed battles
50.0%
Iron Valiant
Iron Valiant5744 recorded pair observations · 3.85 pair observations per 100 analyzed battles
50.3%
Dragapult
Dragapult5543 recorded pair observations · 3.71 pair observations per 100 analyzed battles
53.3%
Gliscor
Gliscor5504 recorded pair observations · 3.69 pair observations per 100 analyzed battles
55.6%
Corviknight
Corviknight5210 recorded pair observations · 3.49 pair observations per 100 analyzed battles
53.9%
Raging Bolt
Raging Bolt5042 recorded pair observations · 3.38 pair observations per 100 analyzed battles
47.7%
Hatterene
Hatterene4917 recorded pair observations · 3.29 pair observations per 100 analyzed battles
51.7%
Slowking-Galar
Slowking-Galar4895 recorded pair observations · 3.28 pair observations per 100 analyzed battles
51.2%
Cinderace
Cinderace4704 recorded pair observations · 3.15 pair observations per 100 analyzed battles
51.0%
Alomomola
Alomomola4357 recorded pair observations · 2.92 pair observations per 100 analyzed battles
55.3%
Landorus-Therian
Landorus-Therian4313 recorded pair observations · 2.89 pair observations per 100 analyzed battles
50.0%
Samurott-Hisui
Samurott-Hisui4139 recorded pair observations · 2.77 pair observations per 100 analyzed battles
50.7%
Kyurem
Kyurem4099 recorded pair observations · 2.75 pair observations per 100 analyzed battles
49.3%
Iron Treads
Iron Treads3931 recorded pair observations · 2.63 pair observations per 100 analyzed battles
50.6%
Darkrai
Darkrai3759 recorded pair observations · 2.52 pair observations per 100 analyzed battles
50.2%

Higher Win-rate Partners

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

Cresselia
Cresselia1451 recorded pair observations · 0.97 pair observations per 100 analyzed battles
58.9%
Latias
Latias534 recorded pair observations · 0.36 pair observations per 100 analyzed battles
58.4%
Okidogi
Okidogi534 recorded pair observations · 0.36 pair observations per 100 analyzed battles
58.4%
Zamazenta-*
Zamazenta-*7862 recorded pair observations · 5.27 pair observations per 100 analyzed battles
56.4%
Moltres
Moltres2526 recorded pair observations · 1.69 pair observations per 100 analyzed battles
55.6%
Raging Bolt
Raging Bolt8084 recorded pair observations · 5.42 pair observations per 100 analyzed battles
55.4%
Glimmora
Glimmora5417 recorded pair observations · 3.63 pair observations per 100 analyzed battles
55.3%
Pecharunt
Pecharunt2893 recorded pair observations · 1.94 pair observations per 100 analyzed battles
55.2%
Iron Moth
Iron Moth4524 recorded pair observations · 3.03 pair observations per 100 analyzed battles
55.1%
Iron Treads
Iron Treads3944 recorded pair observations · 2.64 pair observations per 100 analyzed battles
54.9%

Lower Win-rate Partners

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

Rotom-Wash
Rotom-Wash486 recorded pair observations · 0.33 pair observations per 100 analyzed battles
47.5%
Kommo-o
Kommo-o490 recorded pair observations · 0.33 pair observations per 100 analyzed battles
48.6%
Clodsire
Clodsire518 recorded pair observations · 0.35 pair observations per 100 analyzed battles
49.8%
Clefable
Clefable1803 recorded pair observations · 1.21 pair observations per 100 analyzed battles
50.1%
Weavile
Weavile637 recorded pair observations · 0.43 pair observations per 100 analyzed battles
50.1%
Meowscarada
Meowscarada506 recorded pair observations · 0.34 pair observations per 100 analyzed battles
50.2%
Primarina
Primarina1229 recorded pair observations · 0.82 pair observations per 100 analyzed battles
50.3%
Regieleki
Regieleki433 recorded pair observations · 0.29 pair observations per 100 analyzed battles
50.4%
Lokix
Lokix446 recorded pair observations · 0.30 pair observations per 100 analyzed battles
50.5%
Skeledirge
Skeledirge518 recorded pair observations · 0.35 pair observations per 100 analyzed battles
51.4%

Higher Win-rate Opponent Teams

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

Milotic
Milotic428 recorded pair observations · 0.29 pair observations per 100 analyzed battles
65.2%
Zoroark-Hisui
Zoroark-Hisui471 recorded pair observations · 0.32 pair observations per 100 analyzed battles
64.1%
Metagross
Metagross453 recorded pair observations · 0.30 pair observations per 100 analyzed battles
63.8%
Arcanine-Hisui
Arcanine-Hisui520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
60.8%
Gengar
Gengar737 recorded pair observations · 0.49 pair observations per 100 analyzed battles
60.5%
Regieleki
Regieleki514 recorded pair observations · 0.34 pair observations per 100 analyzed battles
59.9%
Cloyster
Cloyster461 recorded pair observations · 0.31 pair observations per 100 analyzed battles
59.2%
Talonflame
Talonflame510 recorded pair observations · 0.34 pair observations per 100 analyzed battles
58.6%
Garchomp
Garchomp2225 recorded pair observations · 1.49 pair observations per 100 analyzed battles
58.0%
Espeon
Espeon445 recorded pair observations · 0.30 pair observations per 100 analyzed battles
57.8%

Lower Win-rate Opponent Teams

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

Ogerpon-Cornerstone
Ogerpon-Cornerstone671 recorded pair observations · 0.45 pair observations per 100 analyzed battles
46.8%
Slither Wing
Slither Wing635 recorded pair observations · 0.43 pair observations per 100 analyzed battles
47.4%
Raging Bolt
Raging Bolt5042 recorded pair observations · 3.38 pair observations per 100 analyzed battles
47.7%
Hawlucha
Hawlucha1119 recorded pair observations · 0.75 pair observations per 100 analyzed battles
47.8%
Zamazenta-*
Zamazenta-*6005 recorded pair observations · 4.02 pair observations per 100 analyzed battles
47.8%
Indeedee
Indeedee614 recorded pair observations · 0.41 pair observations per 100 analyzed battles
48.2%
Ninetales
Ninetales1222 recorded pair observations · 0.82 pair observations per 100 analyzed battles
48.5%
Sinistcha
Sinistcha835 recorded pair observations · 0.56 pair observations per 100 analyzed battles
48.5%
Iron Moth
Iron Moth3122 recorded pair observations · 2.09 pair observations per 100 analyzed battles
48.6%
Kyurem
Kyurem4099 recorded pair observations · 2.75 pair observations per 100 analyzed battles
49.3%