Last Updated: 10/10/2026 15:45 [UTC]

Gyarados

Tier E

OU (Over Used)

1.14%Usage Rate
43.61%Win Rate
14.20%Lead Rate
1136Avg Rating

3394 recorded team appearances · 1480 wins · 1914 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Dragon Dance Recorded use in 1179 of 3394 distinct recorded team appearances (34.7%) 494 winning team uses of 1179 recorded team uses
41.9%
Waterfall Recorded use in 870 of 3394 distinct recorded team appearances (25.6%) 395 winning team uses of 870 recorded team uses
45.4%
Earthquake Recorded use in 653 of 3394 distinct recorded team appearances (19.2%) 329 winning team uses of 653 recorded team uses
50.4%
Ice Fang Recorded use in 223 of 3394 distinct recorded team appearances (6.6%) 111 winning team uses of 223 recorded team uses
49.8%
Crunch Recorded use in 118 of 3394 distinct recorded team appearances (3.5%) 50 winning team uses of 118 recorded team uses
42.4%
Thunder Wave Recorded use in 106 of 3394 distinct recorded team appearances (3.1%) 53 winning team uses of 106 recorded team uses
50.0%
Aqua Tail Recorded use in 95 of 3394 distinct recorded team appearances (2.8%) 36 winning team uses of 95 recorded team uses
37.9%
Scale Shot Recorded use in 94 of 3394 distinct recorded team appearances (2.8%) 37 winning team uses of 94 recorded team uses
39.4%
Substitute Recorded use in 70 of 3394 distinct recorded team appearances (2.1%) 29 winning team uses of 70 recorded team uses
41.4%
Dragon Tail Recorded use in 67 of 3394 distinct recorded team appearances (2.0%) 26 winning team uses of 67 recorded team uses
38.8%

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 46.56 74644 975 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.22 42.53 74644 910 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:56 JST 1.03 41.61 74642 769 Observed
Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST 0.99 43.11 74642 740 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.16 43.04 60204 1301 Observed
~R1156 1.66 42.76 59416 987 Observed
~R1268 1.06 44.55 59484 633 Observed
~R1398 0.62 44.74 59962 371 Observed
R1398~ 0.17 49.02 59506 102 Observed

Gyarados Observed Statistics

Performance Metrics

Gyarados has a reported usage rate of 1.14% and win rate of 43.61% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,286 recorded battles. 1,480 wins and 1,914 losses (3,394 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 0.99% 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 -0.32 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 46.56% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=975 recorded appearances) and 43.11% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=740 recorded appearances), a change of -3.45 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 0.17% (R1398~; n=59,506 team slots) to 2.16% (~R1084; n=60,204 team slots), a spread of 1.99 percentage points. Overall usage was 1.14%. 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, Dragon Dance has the largest recorded team-use count (1,179; 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: Dragonite: 46.3% wins in 538 recorded pair observations; Great Tusk: 46.6% wins in 463 recorded pair observations; Dragapult: 44.8% wins in 375 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: Deoxys-Speed: 49.4% wins in 166 recorded pair observations; Primarina: 48.7% wins in 189 recorded pair observations; Garganacl: 48.5% wins in 194 recorded pair observations. Returned lower-win-rate opponent group: Samurott-Hisui: 34.4% wins in 282 recorded pair observations; Iron Treads: 34.5% wins in 255 recorded pair observations; Rillaboom: 34.9% wins in 255 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%

Dragonite
Dragonite538 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.3%
Great Tusk
Great Tusk463 recorded pair observations · 0.31 pair observations per 100 analyzed battles
46.6%
Dragapult
Dragapult375 recorded pair observations · 0.25 pair observations per 100 analyzed battles
44.8%
Tyranitar
Tyranitar369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
44.2%
Garchomp
Garchomp355 recorded pair observations · 0.24 pair observations per 100 analyzed battles
40.6%
Gliscor
Gliscor321 recorded pair observations · 0.22 pair observations per 100 analyzed battles
40.5%
Gengar
Gengar303 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.9%
Hatterene
Hatterene293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
50.5%
Serperior
Serperior293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.0%
Blastoise
Blastoise268 recorded pair observations · 0.18 pair observations per 100 analyzed battles
45.9%
Ceruledge
Ceruledge259 recorded pair observations · 0.17 pair observations per 100 analyzed battles
38.6%
Scizor
Scizor254 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.1%
Pelipper
Pelipper251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
41.4%
Cloyster
Cloyster236 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.3%
Clefable
Clefable218 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.4%
Darkrai
Darkrai216 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.0%
Kingambit
Kingambit215 recorded pair observations · 0.14 pair observations per 100 analyzed battles
48.4%
Metagross
Metagross213 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.2%
Gholdengo
Gholdengo189 recorded pair observations · 0.13 pair observations per 100 analyzed battles
39.1%
Weavile
Weavile184 recorded pair observations · 0.12 pair observations per 100 analyzed battles
49.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk730 recorded pair observations · 0.49 pair observations per 100 analyzed battles
40.4%
Kingambit
Kingambit657 recorded pair observations · 0.44 pair observations per 100 analyzed battles
40.8%
Gholdengo
Gholdengo632 recorded pair observations · 0.42 pair observations per 100 analyzed battles
37.2%
Gliscor
Gliscor518 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.5%
Dragapult
Dragapult508 recorded pair observations · 0.34 pair observations per 100 analyzed battles
39.4%
Dragonite
Dragonite504 recorded pair observations · 0.34 pair observations per 100 analyzed battles
41.9%
Corviknight
Corviknight450 recorded pair observations · 0.30 pair observations per 100 analyzed battles
40.0%
Iron Valiant
Iron Valiant382 recorded pair observations · 0.26 pair observations per 100 analyzed battles
39.8%
Ogerpon-Wellspring
Ogerpon-Wellspring370 recorded pair observations · 0.25 pair observations per 100 analyzed battles
40.0%
Zamazenta-*
Zamazenta-*348 recorded pair observations · 0.23 pair observations per 100 analyzed battles
39.1%
Alomomola
Alomomola329 recorded pair observations · 0.22 pair observations per 100 analyzed battles
39.5%
Ceruledge
Ceruledge313 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.7%
Slowking-Galar
Slowking-Galar312 recorded pair observations · 0.21 pair observations per 100 analyzed battles
37.8%
Cinderace
Cinderace301 recorded pair observations · 0.20 pair observations per 100 analyzed battles
46.8%
Hatterene
Hatterene291 recorded pair observations · 0.19 pair observations per 100 analyzed battles
40.9%
Glimmora
Glimmora286 recorded pair observations · 0.19 pair observations per 100 analyzed battles
43.0%
Landorus-Therian
Landorus-Therian282 recorded pair observations · 0.19 pair observations per 100 analyzed battles
40.1%
Raging Bolt
Raging Bolt282 recorded pair observations · 0.19 pair observations per 100 analyzed battles
36.2%
Samurott-Hisui
Samurott-Hisui282 recorded pair observations · 0.19 pair observations per 100 analyzed battles
34.4%
Iron Treads
Iron Treads255 recorded pair observations · 0.17 pair observations per 100 analyzed battles
34.5%

Higher Win-rate Partners

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

Umbreon
Umbreon147 recorded pair observations · 0.10 pair observations per 100 analyzed battles
53.7%
Chandelure
Chandelure176 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.7%
Hatterene
Hatterene293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
50.5%
Darkrai
Darkrai216 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.0%
Greninja-*
Greninja-*145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.7%
Weavile
Weavile184 recorded pair observations · 0.12 pair observations per 100 analyzed battles
49.5%
Kingambit
Kingambit215 recorded pair observations · 0.14 pair observations per 100 analyzed battles
48.4%
Cinderace
Cinderace164 recorded pair observations · 0.11 pair observations per 100 analyzed battles
47.0%
Great Tusk
Great Tusk463 recorded pair observations · 0.31 pair observations per 100 analyzed battles
46.6%
Dragonite
Dragonite538 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.3%

Lower Win-rate Partners

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

Rillaboom
Rillaboom156 recorded pair observations · 0.10 pair observations per 100 analyzed battles
34.6%
Ceruledge
Ceruledge259 recorded pair observations · 0.17 pair observations per 100 analyzed battles
38.6%
Gholdengo
Gholdengo189 recorded pair observations · 0.13 pair observations per 100 analyzed battles
39.1%
Gliscor
Gliscor321 recorded pair observations · 0.22 pair observations per 100 analyzed battles
40.5%
Garchomp
Garchomp355 recorded pair observations · 0.24 pair observations per 100 analyzed battles
40.6%
Pelipper
Pelipper251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
41.4%
Serperior
Serperior293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.0%
Metagross
Metagross213 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.2%
Gengar
Gengar303 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.9%
Excadrill
Excadrill159 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.4%

Higher Win-rate Opponent Teams

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

Deoxys-Speed
Deoxys-Speed166 recorded pair observations · 0.11 pair observations per 100 analyzed battles
49.4%
Primarina
Primarina189 recorded pair observations · 0.13 pair observations per 100 analyzed battles
48.7%
Garganacl
Garganacl194 recorded pair observations · 0.13 pair observations per 100 analyzed battles
48.5%
Meowscarada
Meowscarada172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
48.3%
Tyranitar
Tyranitar146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
48.0%
Gliscor
Gliscor518 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.5%
Cinderace
Cinderace301 recorded pair observations · 0.20 pair observations per 100 analyzed battles
46.8%
Ceruledge
Ceruledge313 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.7%
Dondozo
Dondozo162 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.7%

Lower Win-rate Opponent Teams

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

Samurott-Hisui
Samurott-Hisui282 recorded pair observations · 0.19 pair observations per 100 analyzed battles
34.4%
Iron Treads
Iron Treads255 recorded pair observations · 0.17 pair observations per 100 analyzed battles
34.5%
Rillaboom
Rillaboom255 recorded pair observations · 0.17 pair observations per 100 analyzed battles
34.9%
Zapdos
Zapdos172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
34.9%
Kyurem
Kyurem242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
35.1%
Raging Bolt
Raging Bolt282 recorded pair observations · 0.19 pair observations per 100 analyzed battles
36.2%
Gholdengo
Gholdengo632 recorded pair observations · 0.42 pair observations per 100 analyzed battles
37.2%
Slowking-Galar
Slowking-Galar312 recorded pair observations · 0.21 pair observations per 100 analyzed battles
37.8%
Darkrai
Darkrai248 recorded pair observations · 0.17 pair observations per 100 analyzed battles
37.9%
Scizor
Scizor153 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.6%