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

Hydreigon

Tier E

OU (Over Used)

1.38%Usage Rate
50.25%Win Rate
17.16%Lead Rate
1244Avg Rating

4125 recorded team appearances · 2073 wins · 2052 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Dark Pulse Recorded use in 1151 of 4125 distinct recorded team appearances (27.9%) 598 winning team uses of 1151 recorded team uses
52.0%
Draco Meteor Recorded use in 876 of 4125 distinct recorded team appearances (21.2%) 423 winning team uses of 876 recorded team uses
48.3%
Earth Power Recorded use in 322 of 4125 distinct recorded team appearances (7.8%) 157 winning team uses of 322 recorded team uses
48.8%
Flash Cannon Recorded use in 262 of 4125 distinct recorded team appearances (6.4%) 125 winning team uses of 262 recorded team uses
47.7%
U-turn Recorded use in 225 of 4125 distinct recorded team appearances (5.5%) 115 winning team uses of 225 recorded team uses
51.1%
Nasty Plot Recorded use in 210 of 4125 distinct recorded team appearances (5.1%) 98 winning team uses of 210 recorded team uses
46.7%
Flamethrower Recorded use in 157 of 4125 distinct recorded team appearances (3.8%) 69 winning team uses of 157 recorded team uses
43.9%
Substitute Recorded use in 86 of 4125 distinct recorded team appearances (2.1%) 45 winning team uses of 86 recorded team uses
52.3%
Dragon Pulse Recorded use in 77 of 4125 distinct recorded team appearances (1.9%) 31 winning team uses of 77 recorded team uses
40.3%
Fire Blast Recorded use in 75 of 4125 distinct recorded team appearances (1.8%) 34 winning team uses of 75 recorded team uses
45.3%

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 15:46 JST 1.31 47.86 74644 980 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.50 49.55 74642 1120 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:56 JST 1.38 53.73 74642 1031 Observed
Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST 1.33 49.80 74642 994 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.46 47.09 60202 877 Observed
~R1156 1.36 49.51 59416 810 Observed
~R1268 1.47 52.28 59484 876 Observed
~R1398 1.27 49.48 59962 764 Observed
R1398~ 1.34 53.01 59506 798 Observed

Hydreigon Observed Statistics

Performance Metrics

Hydreigon has a reported usage rate of 1.38% and win rate of 50.25% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,285 recorded battles. 2,073 wins and 2,052 losses (4,125 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 1.31% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=74,644 team slots) and 1.33% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=74,642 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 47.86% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=980 recorded appearances) and 49.80% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=994 recorded appearances), a change of +1.94 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 1.27% (~R1398; n=59,962 team slots) to 1.47% (~R1268; n=59,484 team slots), a spread of 0.20 percentage points. Overall usage was 1.38%. 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, Dark Pulse has the largest recorded team-use count (1,151; 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: 55.5% wins in 1,212 recorded pair observations; Alomomola: 56.2% wins in 822 recorded pair observations; Pecharunt: 57.4% wins in 748 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: Heatran: 55.9% wins in 152 recorded pair observations; Dragapult: 53.9% wins in 577 recorded pair observations; Walking Wake: 53.5% wins in 273 recorded pair observations. Returned lower-win-rate opponent group: Ogerpon: 38.5% wins in 143 recorded pair observations; Hatterene: 44.2% wins in 432 recorded pair observations; Zamazenta-*: 44.9% wins in 568 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 Tusk1212 recorded pair observations · 0.81 pair observations per 100 analyzed battles
55.5%
Alomomola
Alomomola822 recorded pair observations · 0.55 pair observations per 100 analyzed battles
56.2%
Pecharunt
Pecharunt748 recorded pair observations · 0.50 pair observations per 100 analyzed battles
57.4%
Ogerpon
Ogerpon724 recorded pair observations · 0.48 pair observations per 100 analyzed battles
57.6%
Corviknight
Corviknight683 recorded pair observations · 0.46 pair observations per 100 analyzed battles
50.1%
Gholdengo
Gholdengo625 recorded pair observations · 0.42 pair observations per 100 analyzed battles
49.4%
Clodsire
Clodsire496 recorded pair observations · 0.33 pair observations per 100 analyzed battles
52.8%
Ceruledge
Ceruledge478 recorded pair observations · 0.32 pair observations per 100 analyzed battles
48.1%
Glimmora
Glimmora472 recorded pair observations · 0.32 pair observations per 100 analyzed battles
56.6%
Ogerpon-Wellspring
Ogerpon-Wellspring442 recorded pair observations · 0.30 pair observations per 100 analyzed battles
51.6%
Tinkaton
Tinkaton427 recorded pair observations · 0.29 pair observations per 100 analyzed battles
59.0%
Gliscor
Gliscor411 recorded pair observations · 0.28 pair observations per 100 analyzed battles
47.0%
Rotom-Wash
Rotom-Wash356 recorded pair observations · 0.24 pair observations per 100 analyzed battles
53.1%
Landorus-Therian
Landorus-Therian322 recorded pair observations · 0.22 pair observations per 100 analyzed battles
50.6%
Primarina
Primarina316 recorded pair observations · 0.21 pair observations per 100 analyzed battles
52.2%
Meowscarada
Meowscarada296 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.1%
Iron Valiant
Iron Valiant288 recorded pair observations · 0.19 pair observations per 100 analyzed battles
49.0%
Weezing-Galar
Weezing-Galar272 recorded pair observations · 0.18 pair observations per 100 analyzed battles
47.8%
Cinderace
Cinderace263 recorded pair observations · 0.18 pair observations per 100 analyzed battles
50.6%
Cresselia
Cresselia259 recorded pair observations · 0.17 pair observations per 100 analyzed battles
46.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1101 recorded pair observations · 0.74 pair observations per 100 analyzed battles
49.9%
Kingambit
Kingambit824 recorded pair observations · 0.55 pair observations per 100 analyzed battles
45.4%
Gholdengo
Gholdengo802 recorded pair observations · 0.54 pair observations per 100 analyzed battles
50.2%
Dragapult
Dragapult577 recorded pair observations · 0.39 pair observations per 100 analyzed battles
53.9%
Dragonite
Dragonite575 recorded pair observations · 0.39 pair observations per 100 analyzed battles
46.6%
Ogerpon-Wellspring
Ogerpon-Wellspring574 recorded pair observations · 0.38 pair observations per 100 analyzed battles
46.2%
Zamazenta-*
Zamazenta-*568 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.9%
Iron Valiant
Iron Valiant563 recorded pair observations · 0.38 pair observations per 100 analyzed battles
49.2%
Gliscor
Gliscor534 recorded pair observations · 0.36 pair observations per 100 analyzed battles
50.6%
Corviknight
Corviknight514 recorded pair observations · 0.34 pair observations per 100 analyzed battles
50.4%
Raging Bolt
Raging Bolt473 recorded pair observations · 0.32 pair observations per 100 analyzed battles
47.1%
Slowking-Galar
Slowking-Galar453 recorded pair observations · 0.30 pair observations per 100 analyzed battles
45.7%
Alomomola
Alomomola451 recorded pair observations · 0.30 pair observations per 100 analyzed battles
49.5%
Cinderace
Cinderace438 recorded pair observations · 0.29 pair observations per 100 analyzed battles
49.1%
Landorus-Therian
Landorus-Therian437 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.0%
Hatterene
Hatterene432 recorded pair observations · 0.29 pair observations per 100 analyzed battles
44.2%
Samurott-Hisui
Samurott-Hisui414 recorded pair observations · 0.28 pair observations per 100 analyzed battles
48.1%
Iron Treads
Iron Treads389 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.6%
Kyurem
Kyurem379 recorded pair observations · 0.25 pair observations per 100 analyzed battles
49.9%
Glimmora
Glimmora361 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.8%

Higher Win-rate Partners

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

Tinkaton
Tinkaton427 recorded pair observations · 0.29 pair observations per 100 analyzed battles
59.0%
Ogerpon
Ogerpon724 recorded pair observations · 0.48 pair observations per 100 analyzed battles
57.6%
Araquanid
Araquanid176 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.4%
Pecharunt
Pecharunt748 recorded pair observations · 0.50 pair observations per 100 analyzed battles
57.4%
Iron Crown
Iron Crown161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.1%
Glimmora
Glimmora472 recorded pair observations · 0.32 pair observations per 100 analyzed battles
56.6%
Alomomola
Alomomola822 recorded pair observations · 0.55 pair observations per 100 analyzed battles
56.2%
Heatran
Heatran160 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.6%
Excadrill
Excadrill173 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.5%
Great Tusk
Great Tusk1212 recorded pair observations · 0.81 pair observations per 100 analyzed battles
55.5%

Lower Win-rate Partners

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

Gardevoir
Gardevoir159 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.0%
Cresselia
Cresselia259 recorded pair observations · 0.17 pair observations per 100 analyzed battles
46.0%
Iron Moth
Iron Moth166 recorded pair observations · 0.11 pair observations per 100 analyzed battles
46.4%
Gliscor
Gliscor411 recorded pair observations · 0.28 pair observations per 100 analyzed battles
47.0%
Kingambit
Kingambit251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
47.0%
Dragapult
Dragapult258 recorded pair observations · 0.17 pair observations per 100 analyzed battles
47.7%
Weezing-Galar
Weezing-Galar272 recorded pair observations · 0.18 pair observations per 100 analyzed battles
47.8%
Ceruledge
Ceruledge478 recorded pair observations · 0.32 pair observations per 100 analyzed battles
48.1%
Samurott-Hisui
Samurott-Hisui248 recorded pair observations · 0.17 pair observations per 100 analyzed battles
48.4%
Metagross
Metagross152 recorded pair observations · 0.10 pair observations per 100 analyzed battles
48.7%

Higher Win-rate Opponent Teams

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

Heatran
Heatran152 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.9%
Dragapult
Dragapult577 recorded pair observations · 0.39 pair observations per 100 analyzed battles
53.9%
Walking Wake
Walking Wake273 recorded pair observations · 0.18 pair observations per 100 analyzed battles
53.5%
Dondozo
Dondozo164 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.4%
Rillaboom
Rillaboom302 recorded pair observations · 0.20 pair observations per 100 analyzed battles
52.3%
Glimmora
Glimmora361 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.8%
Garganacl
Garganacl227 recorded pair observations · 0.15 pair observations per 100 analyzed battles
51.5%
Scizor
Scizor211 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.2%
Ceruledge
Ceruledge352 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.1%
Weezing-Galar
Weezing-Galar144 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.7%

Lower Win-rate Opponent Teams

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

Ogerpon
Ogerpon143 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.5%
Hatterene
Hatterene432 recorded pair observations · 0.29 pair observations per 100 analyzed battles
44.2%
Zamazenta-*
Zamazenta-*568 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.9%
Kingambit
Kingambit824 recorded pair observations · 0.55 pair observations per 100 analyzed battles
45.4%
Slowking-Galar
Slowking-Galar453 recorded pair observations · 0.30 pair observations per 100 analyzed battles
45.7%
Ting-Lu
Ting-Lu335 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.7%
Ogerpon-Wellspring
Ogerpon-Wellspring574 recorded pair observations · 0.38 pair observations per 100 analyzed battles
46.2%
Moltres
Moltres185 recorded pair observations · 0.12 pair observations per 100 analyzed battles
46.5%
Dragonite
Dragonite575 recorded pair observations · 0.39 pair observations per 100 analyzed battles
46.6%
Iron Crown
Iron Crown145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.9%