Last Updated: 11/14/2026 11:04 [UTC]

Gyarados

Tier B

Mega Evolution Battle (Pokemon Champions)

12.40%Usage Rate
53.84%Win Rate
23.10%Lead Rate
66.23%Selection Rate
1125Avg Rating

3308 recorded team appearances · 1781 wins · 1527 losses · 11/02/2026–11/14/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Waterfall Recorded use in 1285 of 3308 distinct recorded team appearances (38.8%) 716 winning team uses of 1285 recorded team uses
55.7%
Dragon Dance Recorded use in 618 of 3308 distinct recorded team appearances (18.7%) 294 winning team uses of 618 recorded team uses
47.6%
Protect Recorded use in 496 of 3308 distinct recorded team appearances (15.0%) 232 winning team uses of 496 recorded team uses
46.8%
Thunder Wave Recorded use in 265 of 3308 distinct recorded team appearances (8.0%) 148 winning team uses of 265 recorded team uses
55.8%
Ice Fang Recorded use in 256 of 3308 distinct recorded team appearances (7.7%) 128 winning team uses of 256 recorded team uses
50.0%
Taunt Recorded use in 214 of 3308 distinct recorded team appearances (6.5%) 124 winning team uses of 214 recorded team uses
57.9%
Crunch Recorded use in 120 of 3308 distinct recorded team appearances (3.6%) 58 winning team uses of 120 recorded team uses
48.3%
Temper Flare Recorded use in 96 of 3308 distinct recorded team appearances (2.9%) 58 winning team uses of 96 recorded team uses
60.4%
Avalanche Recorded use in 84 of 3308 distinct recorded team appearances (2.5%) 54 winning team uses of 84 recorded team uses
64.3%
Icy Wind Recorded use in 81 of 3308 distinct recorded team appearances (2.4%) 46 winning team uses of 81 recorded team uses
56.8%

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: 2026/11/02 05:31–2026/11/06 09:20 UTC 10.01 48.65 6672 668 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 12.23 54.66 6672 816 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 14.07 57.40 6672 939 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 13.27 53.22 6670 885 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 9.95 54.51 5124 510 Observed
~R1079 10.73 52.12 5508 591 Observed
~R1108 11.68 53.30 5318 621 Observed
~R1148 12.40 54.98 5268 653 Observed
R1148~ 17.06 54.13 5468 933 Observed

Gyarados Observed Statistics

Performance Metrics

Gyarados has a reported usage rate of 12.40% and win rate of 53.84% in Mega Evolution Battle (Pokemon Champions) (displayed tier: B). The report covers 11/02/2026 to 11/14/2026 (UTC), with 13,343 recorded battles. 1,781 wins and 1,527 losses (3,308 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 10.01% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 13.27% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=6,670 team slots), a change of +3.26 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 48.65% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=668 recorded appearances) and 53.22% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=885 recorded appearances), a change of +4.57 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 9.95% (~R1054; n=5,124 team slots) to 17.06% (R1148~; n=5,468 team slots), a spread of 7.11 percentage points. Overall usage was 12.40%. 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, Waterfall has the largest recorded team-use count (1,285; 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: Garchomp: 55.4% wins in 1,853 recorded pair observations; Clefable: 49.0% wins in 905 recorded pair observations; Sableye: 51.4% wins in 833 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: Alakazam: 64.5% wins in 62 recorded pair observations; Dragalge: 64.1% wins in 39 recorded pair observations; Banette: 63.6% wins in 44 recorded pair observations. Returned lower-win-rate opponent group: Delphox: 40.7% wins in 302 recorded pair observations; Kangaskhan: 43.7% wins in 579 recorded pair observations; Floette-Eternal: 46.3% wins in 475 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%

Garchomp
Garchomp1853 recorded pair observations · 13.89 pair observations per 100 analyzed battles
55.4%
Clefable
Clefable905 recorded pair observations · 6.78 pair observations per 100 analyzed battles
49.0%
Sableye
Sableye833 recorded pair observations · 6.24 pair observations per 100 analyzed battles
51.4%
Raichu
Raichu804 recorded pair observations · 6.03 pair observations per 100 analyzed battles
49.6%
Kangaskhan
Kangaskhan767 recorded pair observations · 5.75 pair observations per 100 analyzed battles
61.0%
Floette-Eternal
Floette-Eternal654 recorded pair observations · 4.90 pair observations per 100 analyzed battles
61.9%
Metagross
Metagross643 recorded pair observations · 4.82 pair observations per 100 analyzed battles
54.7%
Tyranitar
Tyranitar595 recorded pair observations · 4.46 pair observations per 100 analyzed battles
52.8%
Gengar
Gengar594 recorded pair observations · 4.45 pair observations per 100 analyzed battles
52.7%
Excadrill
Excadrill489 recorded pair observations · 3.66 pair observations per 100 analyzed battles
52.8%
Gardevoir
Gardevoir484 recorded pair observations · 3.63 pair observations per 100 analyzed battles
55.2%
Golisopod
Golisopod473 recorded pair observations · 3.54 pair observations per 100 analyzed battles
63.9%
Delphox
Delphox458 recorded pair observations · 3.43 pair observations per 100 analyzed battles
66.2%
Aerodactyl
Aerodactyl425 recorded pair observations · 3.19 pair observations per 100 analyzed battles
48.5%
Salamence
Salamence359 recorded pair observations · 2.69 pair observations per 100 analyzed battles
54.6%
Chandelure
Chandelure358 recorded pair observations · 2.68 pair observations per 100 analyzed battles
53.6%
Charizard
Charizard342 recorded pair observations · 2.56 pair observations per 100 analyzed battles
48.2%
Venusaur
Venusaur338 recorded pair observations · 2.53 pair observations per 100 analyzed battles
48.8%
Scrafty
Scrafty334 recorded pair observations · 2.50 pair observations per 100 analyzed battles
54.8%
Scizor
Scizor332 recorded pair observations · 2.49 pair observations per 100 analyzed battles
55.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1500 recorded pair observations · 11.24 pair observations per 100 analyzed battles
51.5%
Clefable
Clefable1140 recorded pair observations · 8.54 pair observations per 100 analyzed battles
53.2%
Sableye
Sableye988 recorded pair observations · 7.40 pair observations per 100 analyzed battles
57.3%
Scrafty
Scrafty940 recorded pair observations · 7.04 pair observations per 100 analyzed battles
51.2%
Tyranitar
Tyranitar848 recorded pair observations · 6.36 pair observations per 100 analyzed battles
55.5%
Excadrill
Excadrill736 recorded pair observations · 5.52 pair observations per 100 analyzed battles
54.4%
Raichu
Raichu668 recorded pair observations · 5.01 pair observations per 100 analyzed battles
57.8%
Staraptor
Staraptor610 recorded pair observations · 4.57 pair observations per 100 analyzed battles
56.9%
Kangaskhan
Kangaskhan579 recorded pair observations · 4.34 pair observations per 100 analyzed battles
43.7%
Charizard
Charizard566 recorded pair observations · 4.24 pair observations per 100 analyzed battles
53.0%
Aerodactyl
Aerodactyl551 recorded pair observations · 4.13 pair observations per 100 analyzed battles
52.6%
Venusaur
Venusaur543 recorded pair observations · 4.07 pair observations per 100 analyzed battles
53.2%
Salamence
Salamence490 recorded pair observations · 3.67 pair observations per 100 analyzed battles
53.3%
Floette-Eternal
Floette-Eternal475 recorded pair observations · 3.56 pair observations per 100 analyzed battles
46.3%
Gardevoir
Gardevoir471 recorded pair observations · 3.53 pair observations per 100 analyzed battles
56.9%
Meowstic
Meowstic454 recorded pair observations · 3.40 pair observations per 100 analyzed battles
57.0%
Blastoise
Blastoise435 recorded pair observations · 3.26 pair observations per 100 analyzed battles
48.7%
Gengar
Gengar429 recorded pair observations · 3.22 pair observations per 100 analyzed battles
55.9%
Golisopod
Golisopod426 recorded pair observations · 3.19 pair observations per 100 analyzed battles
50.9%
Gyarados
Gyarados416 recorded pair observations · 3.12 pair observations per 100 analyzed battles
50.0%

Higher Win-rate Partners

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

Steelix
Steelix42 recorded pair observations · 0.31 pair observations per 100 analyzed battles
66.7%
Delphox
Delphox458 recorded pair observations · 3.43 pair observations per 100 analyzed battles
66.2%
Greninja
Greninja48 recorded pair observations · 0.36 pair observations per 100 analyzed battles
64.6%
Golisopod
Golisopod473 recorded pair observations · 3.54 pair observations per 100 analyzed battles
63.9%
Malamar
Malamar61 recorded pair observations · 0.46 pair observations per 100 analyzed battles
62.3%
Floette-Eternal
Floette-Eternal654 recorded pair observations · 4.90 pair observations per 100 analyzed battles
61.9%
Mawile
Mawile54 recorded pair observations · 0.40 pair observations per 100 analyzed battles
61.1%
Kangaskhan
Kangaskhan767 recorded pair observations · 5.75 pair observations per 100 analyzed battles
61.0%
Audino
Audino34 recorded pair observations · 0.25 pair observations per 100 analyzed battles
58.8%
Altaria
Altaria298 recorded pair observations · 2.23 pair observations per 100 analyzed battles
58.0%

Lower Win-rate Partners

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

Absol
Absol41 recorded pair observations · 0.31 pair observations per 100 analyzed battles
29.3%
Gallade
Gallade66 recorded pair observations · 0.49 pair observations per 100 analyzed battles
37.9%
Scolipede
Scolipede71 recorded pair observations · 0.53 pair observations per 100 analyzed battles
42.2%
Lucario
Lucario78 recorded pair observations · 0.58 pair observations per 100 analyzed battles
44.9%
Alakazam
Alakazam40 recorded pair observations · 0.30 pair observations per 100 analyzed battles
45.0%
Skarmory
Skarmory82 recorded pair observations · 0.61 pair observations per 100 analyzed battles
45.1%
Lopunny
Lopunny146 recorded pair observations · 1.09 pair observations per 100 analyzed battles
48.0%
Charizard
Charizard342 recorded pair observations · 2.56 pair observations per 100 analyzed battles
48.2%
Aerodactyl
Aerodactyl425 recorded pair observations · 3.19 pair observations per 100 analyzed battles
48.5%
Venusaur
Venusaur338 recorded pair observations · 2.53 pair observations per 100 analyzed battles
48.8%

Higher Win-rate Opponent Teams

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

Alakazam
Alakazam62 recorded pair observations · 0.46 pair observations per 100 analyzed battles
64.5%
Dragalge
Dragalge39 recorded pair observations · 0.29 pair observations per 100 analyzed battles
64.1%
Banette
Banette44 recorded pair observations · 0.33 pair observations per 100 analyzed battles
63.6%
Abomasnow
Abomasnow58 recorded pair observations · 0.43 pair observations per 100 analyzed battles
62.1%
Steelix
Steelix50 recorded pair observations · 0.37 pair observations per 100 analyzed battles
62.0%
Altaria
Altaria204 recorded pair observations · 1.53 pair observations per 100 analyzed battles
61.8%
Sceptile
Sceptile104 recorded pair observations · 0.78 pair observations per 100 analyzed battles
61.5%
Chesnaught
Chesnaught65 recorded pair observations · 0.49 pair observations per 100 analyzed battles
60.0%
Eelektross
Eelektross80 recorded pair observations · 0.60 pair observations per 100 analyzed battles
60.0%
Absol
Absol112 recorded pair observations · 0.84 pair observations per 100 analyzed battles
59.8%

Lower Win-rate Opponent Teams

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

Delphox
Delphox302 recorded pair observations · 2.26 pair observations per 100 analyzed battles
40.7%
Kangaskhan
Kangaskhan579 recorded pair observations · 4.34 pair observations per 100 analyzed battles
43.7%
Floette-Eternal
Floette-Eternal475 recorded pair observations · 3.56 pair observations per 100 analyzed battles
46.3%
Chandelure
Chandelure398 recorded pair observations · 2.98 pair observations per 100 analyzed battles
47.5%
Mawile
Mawile115 recorded pair observations · 0.86 pair observations per 100 analyzed battles
47.8%
Blastoise
Blastoise435 recorded pair observations · 3.26 pair observations per 100 analyzed battles
48.7%
Drampa
Drampa162 recorded pair observations · 1.21 pair observations per 100 analyzed battles
48.8%
Malamar
Malamar141 recorded pair observations · 1.06 pair observations per 100 analyzed battles
48.9%
Gyarados
Gyarados416 recorded pair observations · 3.12 pair observations per 100 analyzed battles
50.0%
Medicham
Medicham46 recorded pair observations · 0.34 pair observations per 100 analyzed battles
50.0%