Last Updated: 11/14/2026 11:03 [UTC]

Garchomp

Tier A

Mega Evolution Battle (Pokemon Champions)

44.15%Usage Rate
51.71%Win Rate
24.20%Lead Rate
64.08%Selection Rate
1108Avg Rating

11783 recorded team appearances · 6093 wins · 5690 losses · 11/02/2026–11/14/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Earthquake Recorded use in 2286 of 11783 distinct recorded team appearances (19.4%) 1345 winning team uses of 2286 recorded team uses
58.8%
Rock Slide Recorded use in 2008 of 11783 distinct recorded team appearances (17.0%) 1019 winning team uses of 2008 recorded team uses
50.7%
Dragon Claw Recorded use in 1806 of 11783 distinct recorded team appearances (15.3%) 993 winning team uses of 1806 recorded team uses
55.0%
Protect Recorded use in 1370 of 11783 distinct recorded team appearances (11.6%) 652 winning team uses of 1370 recorded team uses
47.6%
Stomping Tantrum Recorded use in 1159 of 11783 distinct recorded team appearances (9.8%) 624 winning team uses of 1159 recorded team uses
53.8%
Earth Power Recorded use in 181 of 11783 distinct recorded team appearances (1.5%) 87 winning team uses of 181 recorded team uses
48.1%
Draco Meteor Recorded use in 120 of 11783 distinct recorded team appearances (1.0%) 58 winning team uses of 120 recorded team uses
48.3%
Power Gem Recorded use in 102 of 11783 distinct recorded team appearances (0.9%) 32 winning team uses of 102 recorded team uses
31.4%
Swords Dance Recorded use in 87 of 11783 distinct recorded team appearances (0.7%) 44 winning team uses of 87 recorded team uses
50.6%
Dragon Pulse Recorded use in 86 of 11783 distinct recorded team appearances (0.7%) 33 winning team uses of 86 recorded team uses
38.4%

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 43.99 51.48 6672 2935 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 43.02 51.50 6672 2870 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 42.97 51.69 6672 2867 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 46.64 52.14 6670 3111 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 42.31 53.09 5124 2168 Observed
~R1079 43.16 53.43 5508 2377 Observed
~R1108 44.62 50.15 5318 2373 Observed
~R1148 44.40 50.24 5268 2339 Observed
R1148~ 46.20 51.74 5468 2526 Observed

Garchomp Observed Statistics

Performance Metrics

Garchomp has a reported usage rate of 44.15% and win rate of 51.71% in Mega Evolution Battle (Pokemon Champions) (displayed tier: A). The report covers 11/02/2026 to 11/14/2026 (UTC), with 13,343 recorded battles. 6,093 wins and 5,690 losses (11,783 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 43.99% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 46.64% 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 +2.65 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 51.48% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=2,935 recorded appearances) and 52.14% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=3,111 recorded appearances), a change of +0.66 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 42.31% (~R1054; n=5,124 team slots) to 46.20% (R1148~; n=5,468 team slots), a spread of 3.89 percentage points. Overall usage was 44.15%. 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, Earthquake has the largest recorded team-use count (2,286; 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: Clefable: 51.0% wins in 3,669 recorded pair observations; Charizard: 51.4% wins in 3,410 recorded pair observations; Sableye: 48.8% wins in 3,290 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: Dragalge: 65.5% wins in 139 recorded pair observations; Absol: 62.9% wins in 418 recorded pair observations; Eelektross: 62.1% wins in 285 recorded pair observations. Returned lower-win-rate opponent group: Golisopod: 45.5% wins in 1,368 recorded pair observations; Floette-Eternal: 45.9% wins in 1,626 recorded pair observations; Mawile: 46.1% wins in 377 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%

Clefable
Clefable3669 recorded pair observations · 27.50 pair observations per 100 analyzed battles
51.0%
Charizard
Charizard3410 recorded pair observations · 25.56 pair observations per 100 analyzed battles
51.4%
Sableye
Sableye3290 recorded pair observations · 24.66 pair observations per 100 analyzed battles
48.8%
Scrafty
Scrafty3216 recorded pair observations · 24.10 pair observations per 100 analyzed battles
53.6%
Aerodactyl
Aerodactyl3131 recorded pair observations · 23.47 pair observations per 100 analyzed battles
51.2%
Venusaur
Venusaur2912 recorded pair observations · 21.82 pair observations per 100 analyzed battles
52.1%
Floette-Eternal
Floette-Eternal2329 recorded pair observations · 17.45 pair observations per 100 analyzed battles
57.6%
Raichu
Raichu2183 recorded pair observations · 16.36 pair observations per 100 analyzed battles
48.8%
Staraptor
Staraptor2036 recorded pair observations · 15.26 pair observations per 100 analyzed battles
51.9%
Kangaskhan
Kangaskhan1948 recorded pair observations · 14.60 pair observations per 100 analyzed battles
57.5%
Tyranitar
Tyranitar1870 recorded pair observations · 14.01 pair observations per 100 analyzed battles
49.2%
Gyarados
Gyarados1853 recorded pair observations · 13.89 pair observations per 100 analyzed battles
55.4%
Gardevoir
Gardevoir1628 recorded pair observations · 12.20 pair observations per 100 analyzed battles
50.9%
Meowstic
Meowstic1546 recorded pair observations · 11.59 pair observations per 100 analyzed battles
49.9%
Metagross
Metagross1494 recorded pair observations · 11.20 pair observations per 100 analyzed battles
52.5%
Delphox
Delphox1398 recorded pair observations · 10.48 pair observations per 100 analyzed battles
56.6%
Scizor
Scizor1332 recorded pair observations · 9.98 pair observations per 100 analyzed battles
53.5%
Excadrill
Excadrill1293 recorded pair observations · 9.69 pair observations per 100 analyzed battles
49.8%
Gengar
Gengar1283 recorded pair observations · 9.62 pair observations per 100 analyzed battles
52.3%
Glimmora
Glimmora1248 recorded pair observations · 9.35 pair observations per 100 analyzed battles
53.7%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp5142 recorded pair observations · 38.54 pair observations per 100 analyzed battles
50.0%
Clefable
Clefable4114 recorded pair observations · 30.83 pair observations per 100 analyzed battles
51.9%
Sableye
Sableye3737 recorded pair observations · 28.01 pair observations per 100 analyzed battles
54.8%
Scrafty
Scrafty3132 recorded pair observations · 23.47 pair observations per 100 analyzed battles
48.5%
Tyranitar
Tyranitar2938 recorded pair observations · 22.02 pair observations per 100 analyzed battles
52.4%
Excadrill
Excadrill2524 recorded pair observations · 18.92 pair observations per 100 analyzed battles
51.4%
Raichu
Raichu2328 recorded pair observations · 17.45 pair observations per 100 analyzed battles
54.8%
Staraptor
Staraptor2301 recorded pair observations · 17.24 pair observations per 100 analyzed battles
51.9%
Aerodactyl
Aerodactyl2067 recorded pair observations · 15.49 pair observations per 100 analyzed battles
50.9%
Charizard
Charizard2018 recorded pair observations · 15.12 pair observations per 100 analyzed battles
52.6%
Kangaskhan
Kangaskhan2006 recorded pair observations · 15.03 pair observations per 100 analyzed battles
47.4%
Venusaur
Venusaur1978 recorded pair observations · 14.82 pair observations per 100 analyzed battles
52.0%
Meowstic
Meowstic1723 recorded pair observations · 12.91 pair observations per 100 analyzed battles
54.2%
Salamence
Salamence1634 recorded pair observations · 12.25 pair observations per 100 analyzed battles
50.3%
Floette-Eternal
Floette-Eternal1626 recorded pair observations · 12.19 pair observations per 100 analyzed battles
45.9%
Gardevoir
Gardevoir1597 recorded pair observations · 11.97 pair observations per 100 analyzed battles
52.8%
Blastoise
Blastoise1523 recorded pair observations · 11.41 pair observations per 100 analyzed battles
49.2%
Gyarados
Gyarados1500 recorded pair observations · 11.24 pair observations per 100 analyzed battles
48.5%
Gengar
Gengar1483 recorded pair observations · 11.11 pair observations per 100 analyzed battles
51.5%
Metagross
Metagross1412 recorded pair observations · 10.58 pair observations per 100 analyzed battles
51.6%

Higher Win-rate Partners

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

Golisopod
Golisopod1163 recorded pair observations · 8.72 pair observations per 100 analyzed battles
59.3%
Floette-Eternal
Floette-Eternal2329 recorded pair observations · 17.45 pair observations per 100 analyzed battles
57.6%
Kangaskhan
Kangaskhan1948 recorded pair observations · 14.60 pair observations per 100 analyzed battles
57.5%
Delphox
Delphox1398 recorded pair observations · 10.48 pair observations per 100 analyzed battles
56.6%
Gyarados
Gyarados1853 recorded pair observations · 13.89 pair observations per 100 analyzed battles
55.4%
Blastoise
Blastoise1241 recorded pair observations · 9.30 pair observations per 100 analyzed battles
55.2%
Altaria
Altaria713 recorded pair observations · 5.34 pair observations per 100 analyzed battles
55.0%
Chandelure
Chandelure817 recorded pair observations · 6.12 pair observations per 100 analyzed battles
55.0%
Salamence
Salamence1041 recorded pair observations · 7.80 pair observations per 100 analyzed battles
54.6%
Dragonite
Dragonite513 recorded pair observations · 3.84 pair observations per 100 analyzed battles
53.8%

Lower Win-rate Partners

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

Absol
Absol237 recorded pair observations · 1.78 pair observations per 100 analyzed battles
40.1%
Lucario
Lucario442 recorded pair observations · 3.31 pair observations per 100 analyzed battles
41.9%
Gallade
Gallade267 recorded pair observations · 2.00 pair observations per 100 analyzed battles
42.7%
Sceptile
Sceptile171 recorded pair observations · 1.28 pair observations per 100 analyzed battles
42.7%
Alakazam
Alakazam138 recorded pair observations · 1.03 pair observations per 100 analyzed battles
43.5%
Eelektross
Eelektross324 recorded pair observations · 2.43 pair observations per 100 analyzed battles
43.8%
Swampert
Swampert671 recorded pair observations · 5.03 pair observations per 100 analyzed battles
45.0%
Drampa
Drampa132 recorded pair observations · 0.99 pair observations per 100 analyzed battles
45.5%
Meganium
Meganium241 recorded pair observations · 1.81 pair observations per 100 analyzed battles
45.6%
Skarmory
Skarmory540 recorded pair observations · 4.05 pair observations per 100 analyzed battles
46.1%

Higher Win-rate Opponent Teams

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

Dragalge
Dragalge139 recorded pair observations · 1.04 pair observations per 100 analyzed battles
65.5%
Absol
Absol418 recorded pair observations · 3.13 pair observations per 100 analyzed battles
62.9%
Eelektross
Eelektross285 recorded pair observations · 2.14 pair observations per 100 analyzed battles
62.1%
Scolipede
Scolipede160 recorded pair observations · 1.20 pair observations per 100 analyzed battles
61.9%
Manectric
Manectric138 recorded pair observations · 1.03 pair observations per 100 analyzed battles
60.9%
Lucario
Lucario436 recorded pair observations · 3.27 pair observations per 100 analyzed battles
60.8%
Sceptile
Sceptile381 recorded pair observations · 2.86 pair observations per 100 analyzed battles
60.4%
Alakazam
Alakazam256 recorded pair observations · 1.92 pair observations per 100 analyzed battles
59.8%
Lopunny
Lopunny312 recorded pair observations · 2.34 pair observations per 100 analyzed battles
59.3%
Skarmory
Skarmory447 recorded pair observations · 3.35 pair observations per 100 analyzed battles
57.9%

Lower Win-rate Opponent Teams

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

Golisopod
Golisopod1368 recorded pair observations · 10.25 pair observations per 100 analyzed battles
45.5%
Floette-Eternal
Floette-Eternal1626 recorded pair observations · 12.19 pair observations per 100 analyzed battles
45.9%
Mawile
Mawile377 recorded pair observations · 2.83 pair observations per 100 analyzed battles
46.1%
Chandelure
Chandelure1387 recorded pair observations · 10.39 pair observations per 100 analyzed battles
46.2%
Delphox
Delphox1034 recorded pair observations · 7.75 pair observations per 100 analyzed battles
46.8%
Chesnaught
Chesnaught214 recorded pair observations · 1.60 pair observations per 100 analyzed battles
47.2%
Kangaskhan
Kangaskhan2006 recorded pair observations · 15.03 pair observations per 100 analyzed battles
47.4%
Scizor
Scizor1398 recorded pair observations · 10.48 pair observations per 100 analyzed battles
48.4%
Gyarados
Gyarados1500 recorded pair observations · 11.24 pair observations per 100 analyzed battles
48.5%
Scrafty
Scrafty3132 recorded pair observations · 23.47 pair observations per 100 analyzed battles
48.5%