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

Ogerpon-Cornerstone

Tier C

OU (Over Used)

1.40%Usage Rate
54.28%Win Rate
19.65%Lead Rate
1321Avg Rating

4173 recorded team appearances · 2265 wins · 1908 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Ivy Cudgel Recorded use in 2002 of 4173 distinct recorded team appearances (48.0%) 1098 winning team uses of 2002 recorded team uses
54.8%
Swords Dance Recorded use in 1006 of 4173 distinct recorded team appearances (24.1%) 535 winning team uses of 1006 recorded team uses
53.2%
Horn Leech Recorded use in 608 of 4173 distinct recorded team appearances (14.6%) 309 winning team uses of 608 recorded team uses
50.8%
Power Whip Recorded use in 580 of 4173 distinct recorded team appearances (13.9%) 331 winning team uses of 580 recorded team uses
57.1%
Knock Off Recorded use in 385 of 4173 distinct recorded team appearances (9.2%) 212 winning team uses of 385 recorded team uses
55.1%
Low Kick Recorded use in 244 of 4173 distinct recorded team appearances (5.8%) 134 winning team uses of 244 recorded team uses
54.9%
Trailblaze Recorded use in 187 of 4173 distinct recorded team appearances (4.5%) 102 winning team uses of 187 recorded team uses
54.5%
U-turn Recorded use in 123 of 4173 distinct recorded team appearances (2.9%) 60 winning team uses of 123 recorded team uses
48.8%
Encore Recorded use in 90 of 4173 distinct recorded team appearances (2.2%) 56 winning team uses of 90 recorded team uses
62.2%
Spiky Shield Recorded use in 82 of 4173 distinct recorded team appearances (2.0%) 36 winning team uses of 82 recorded team uses
43.9%

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 1.24 51.24 74642 929 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.38 54.89 74642 1033 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 1.61 55.16 74640 1202 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 1.35 55.40 74640 1009 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 0.75 59.33 60200 450 Observed
~R1156 0.90 57.14 59416 532 Observed
~R1268 1.24 53.65 59484 740 Observed
~R1398 1.88 55.54 59960 1129 Observed
R1398~ 2.22 50.68 59504 1322 Observed

Ogerpon-Cornerstone Observed Statistics

Performance Metrics

Ogerpon-Cornerstone has a reported usage rate of 1.40% and win rate of 54.28% in OU (Over Used) (displayed tier: C). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 2,265 wins and 1,908 losses (4,173 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 1.24% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 1.35% 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 +0.11 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 51.24% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=929 recorded appearances) and 55.40% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,009 recorded appearances), a change of +4.16 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 0.75% (~R1084; n=60,200 team slots) to 2.22% (R1398~; n=59,504 team slots), a spread of 1.47 percentage points. Overall usage was 1.40%. 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 (2,002; 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: 55.0% wins in 1,517 recorded pair observations; Raging Bolt: 58.0% wins in 1,013 recorded pair observations; Gholdengo: 55.4% wins in 940 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: Zapdos: 60.7% wins in 285 recorded pair observations; Toxapex: 60.4% wins in 164 recorded pair observations; Scizor: 58.8% wins in 170 recorded pair observations. Returned lower-win-rate opponent group: Iron Crown: 46.0% wins in 187 recorded pair observations; Zamazenta-*: 46.9% wins in 591 recorded pair observations; Dragapult: 48.4% wins in 574 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 Tusk1517 recorded pair observations · 1.02 pair observations per 100 analyzed battles
55.0%
Raging Bolt
Raging Bolt1013 recorded pair observations · 0.68 pair observations per 100 analyzed battles
58.0%
Gholdengo
Gholdengo940 recorded pair observations · 0.63 pair observations per 100 analyzed battles
55.4%
Iron Moth
Iron Moth781 recorded pair observations · 0.52 pair observations per 100 analyzed battles
57.8%
Alomomola
Alomomola701 recorded pair observations · 0.47 pair observations per 100 analyzed battles
54.2%
Kingambit
Kingambit676 recorded pair observations · 0.45 pair observations per 100 analyzed battles
55.9%
Iron Valiant
Iron Valiant670 recorded pair observations · 0.45 pair observations per 100 analyzed battles
55.2%
Dragonite
Dragonite661 recorded pair observations · 0.44 pair observations per 100 analyzed battles
58.4%
Ceruledge
Ceruledge656 recorded pair observations · 0.44 pair observations per 100 analyzed battles
55.2%
Tyranitar
Tyranitar605 recorded pair observations · 0.41 pair observations per 100 analyzed battles
54.4%
Rillaboom
Rillaboom567 recorded pair observations · 0.38 pair observations per 100 analyzed battles
57.0%
Hatterene
Hatterene559 recorded pair observations · 0.37 pair observations per 100 analyzed battles
53.9%
Excadrill
Excadrill448 recorded pair observations · 0.30 pair observations per 100 analyzed battles
52.5%
Iron Treads
Iron Treads434 recorded pair observations · 0.29 pair observations per 100 analyzed battles
55.5%
Samurott-Hisui
Samurott-Hisui425 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.8%
Moltres
Moltres424 recorded pair observations · 0.28 pair observations per 100 analyzed battles
53.5%
Cinderace
Cinderace419 recorded pair observations · 0.28 pair observations per 100 analyzed battles
54.9%
Corviknight
Corviknight383 recorded pair observations · 0.26 pair observations per 100 analyzed battles
51.4%
Dragapult
Dragapult373 recorded pair observations · 0.25 pair observations per 100 analyzed battles
52.5%
Ribombee
Ribombee331 recorded pair observations · 0.22 pair observations per 100 analyzed battles
57.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1225 recorded pair observations · 0.82 pair observations per 100 analyzed battles
53.9%
Gholdengo
Gholdengo930 recorded pair observations · 0.62 pair observations per 100 analyzed battles
51.3%
Kingambit
Kingambit891 recorded pair observations · 0.60 pair observations per 100 analyzed battles
48.9%
Ogerpon-Wellspring
Ogerpon-Wellspring671 recorded pair observations · 0.45 pair observations per 100 analyzed battles
53.2%
Iron Valiant
Iron Valiant634 recorded pair observations · 0.42 pair observations per 100 analyzed battles
50.8%
Dragonite
Dragonite604 recorded pair observations · 0.40 pair observations per 100 analyzed battles
52.0%
Zamazenta-*
Zamazenta-*591 recorded pair observations · 0.40 pair observations per 100 analyzed battles
46.9%
Dragapult
Dragapult574 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.4%
Raging Bolt
Raging Bolt544 recorded pair observations · 0.36 pair observations per 100 analyzed battles
50.4%
Gliscor
Gliscor541 recorded pair observations · 0.36 pair observations per 100 analyzed battles
54.2%
Corviknight
Corviknight520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
55.2%
Hatterene
Hatterene507 recorded pair observations · 0.34 pair observations per 100 analyzed battles
58.4%
Slowking-Galar
Slowking-Galar505 recorded pair observations · 0.34 pair observations per 100 analyzed battles
55.5%
Cinderace
Cinderace495 recorded pair observations · 0.33 pair observations per 100 analyzed battles
54.8%
Landorus-Therian
Landorus-Therian468 recorded pair observations · 0.31 pair observations per 100 analyzed battles
49.8%
Samurott-Hisui
Samurott-Hisui438 recorded pair observations · 0.29 pair observations per 100 analyzed battles
52.0%
Alomomola
Alomomola420 recorded pair observations · 0.28 pair observations per 100 analyzed battles
50.0%
Kyurem
Kyurem419 recorded pair observations · 0.28 pair observations per 100 analyzed battles
56.6%
Iron Treads
Iron Treads408 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.5%
Darkrai
Darkrai383 recorded pair observations · 0.26 pair observations per 100 analyzed battles
51.4%

Higher Win-rate Partners

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

Hawlucha
Hawlucha179 recorded pair observations · 0.12 pair observations per 100 analyzed battles
62.0%
Darkrai
Darkrai202 recorded pair observations · 0.14 pair observations per 100 analyzed battles
60.9%
Primarina
Primarina168 recorded pair observations · 0.11 pair observations per 100 analyzed battles
58.9%
Dragonite
Dragonite661 recorded pair observations · 0.44 pair observations per 100 analyzed battles
58.4%
Raging Bolt
Raging Bolt1013 recorded pair observations · 0.68 pair observations per 100 analyzed battles
58.0%
Iron Moth
Iron Moth781 recorded pair observations · 0.52 pair observations per 100 analyzed battles
57.8%
Ribombee
Ribombee331 recorded pair observations · 0.22 pair observations per 100 analyzed battles
57.4%
Rillaboom
Rillaboom567 recorded pair observations · 0.38 pair observations per 100 analyzed battles
57.0%
Garganacl
Garganacl166 recorded pair observations · 0.11 pair observations per 100 analyzed battles
56.0%
Kingambit
Kingambit676 recorded pair observations · 0.45 pair observations per 100 analyzed battles
55.9%

Lower Win-rate Partners

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

Tornadus-Therian
Tornadus-Therian263 recorded pair observations · 0.18 pair observations per 100 analyzed battles
49.8%
Corviknight
Corviknight383 recorded pair observations · 0.26 pair observations per 100 analyzed battles
51.4%
Garchomp
Garchomp186 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.6%
Zapdos
Zapdos186 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.6%
Samurott-Hisui
Samurott-Hisui425 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.8%
Dragapult
Dragapult373 recorded pair observations · 0.25 pair observations per 100 analyzed battles
52.5%
Excadrill
Excadrill448 recorded pair observations · 0.30 pair observations per 100 analyzed battles
52.5%
Porygon-Z
Porygon-Z205 recorded pair observations · 0.14 pair observations per 100 analyzed battles
52.7%
Kyurem
Kyurem197 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.8%
Slowking-Galar
Slowking-Galar293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
53.2%

Higher Win-rate Opponent Teams

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

Zapdos
Zapdos285 recorded pair observations · 0.19 pair observations per 100 analyzed battles
60.7%
Toxapex
Toxapex164 recorded pair observations · 0.11 pair observations per 100 analyzed battles
60.4%
Scizor
Scizor170 recorded pair observations · 0.11 pair observations per 100 analyzed battles
58.8%
Clefable
Clefable225 recorded pair observations · 0.15 pair observations per 100 analyzed battles
58.7%
Hatterene
Hatterene507 recorded pair observations · 0.34 pair observations per 100 analyzed battles
58.4%
Kyurem
Kyurem419 recorded pair observations · 0.28 pair observations per 100 analyzed battles
56.6%
Slowking-Galar
Slowking-Galar505 recorded pair observations · 0.34 pair observations per 100 analyzed battles
55.5%
Meowscarada
Meowscarada177 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.4%
Corviknight
Corviknight520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
55.2%
Pecharunt
Pecharunt297 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.2%

Lower Win-rate Opponent Teams

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

Iron Crown
Iron Crown187 recorded pair observations · 0.13 pair observations per 100 analyzed battles
46.0%
Zamazenta-*
Zamazenta-*591 recorded pair observations · 0.40 pair observations per 100 analyzed battles
46.9%
Dragapult
Dragapult574 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.4%
Kingambit
Kingambit891 recorded pair observations · 0.60 pair observations per 100 analyzed battles
48.9%
Iron Moth
Iron Moth321 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.5%
Iron Treads
Iron Treads408 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.5%
Landorus-Therian
Landorus-Therian468 recorded pair observations · 0.31 pair observations per 100 analyzed battles
49.8%
Alomomola
Alomomola420 recorded pair observations · 0.28 pair observations per 100 analyzed battles
50.0%
Moltres
Moltres217 recorded pair observations · 0.15 pair observations per 100 analyzed battles
50.2%
Raging Bolt
Raging Bolt544 recorded pair observations · 0.36 pair observations per 100 analyzed battles
50.4%