Last Updated: 10/26/2026 11:04 [UTC]

Metagross

Tier B

BSS Regulation M-C (Pokemon Champions)

10.90%Usage Rate
52.97%Win Rate
10.37%Lead Rate
29.63%Selection Rate
1222Avg Rating

5467 recorded team appearances · 2896 wins · 2571 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Bullet Punch Recorded use in 697 of 5467 distinct recorded team appearances (12.7%) 382 winning team uses of 697 recorded team uses
54.8%
Psychic Fangs Recorded use in 578 of 5467 distinct recorded team appearances (10.6%) 326 winning team uses of 578 recorded team uses
56.4%
Earthquake Recorded use in 379 of 5467 distinct recorded team appearances (6.9%) 195 winning team uses of 379 recorded team uses
51.5%
Ice Punch Recorded use in 348 of 5467 distinct recorded team appearances (6.4%) 205 winning team uses of 348 recorded team uses
58.9%
Thunder Punch Recorded use in 158 of 5467 distinct recorded team appearances (2.9%) 94 winning team uses of 158 recorded team uses
59.5%
Iron Head Recorded use in 84 of 5467 distinct recorded team appearances (1.5%) 61 winning team uses of 84 recorded team uses
72.6%
Meteor Mash Recorded use in 62 of 5467 distinct recorded team appearances (1.1%) 28 winning team uses of 62 recorded team uses
45.2%
Hammer Arm Recorded use in 59 of 5467 distinct recorded team appearances (1.1%) 35 winning team uses of 59 recorded team uses
59.3%
Iron Defense Recorded use in 56 of 5467 distinct recorded team appearances (1.0%) 33 winning team uses of 56 recorded team uses
58.9%
Body Press Recorded use in 52 of 5467 distinct recorded team appearances (1.0%) 35 winning team uses of 52 recorded team uses
67.3%

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: 2026/10/12 11:01–2026/10/15 12:54 UTC 13.03 53.61 12542 1634 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 9.03 51.02 12542 1133 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 11.17 54.82 12542 1401 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 10.36 51.89 12540 1299 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 7.42 54.46 9968 740 Observed
~R1142 9.30 55.29 9958 926 Observed
~R1208 11.63 54.13 10104 1175 Observed
~R1298 12.36 51.29 10004 1236 Observed
R1298~ 13.72 51.15 10132 1390 Observed

Metagross Observed Statistics

Performance Metrics

Metagross has a reported usage rate of 10.90% and win rate of 52.97% in BSS Regulation M-C (Pokemon Champions) (displayed tier: B). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 2,896 wins and 2,571 losses (5,467 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 13.03% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 10.36% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=12,540 team slots), a change of -2.67 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 53.61% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=1,634 recorded appearances) and 51.89% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=1,299 recorded appearances), a change of -1.72 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 7.42% (~R1089; n=9,968 team slots) to 13.72% (R1298~; n=10,132 team slots), a spread of 6.30 percentage points. Overall usage was 10.90%. 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, Bullet Punch has the largest recorded team-use count (697; 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: 52.6% wins in 3,482 recorded pair observations; Mimikyu: 54.5% wins in 2,758 recorded pair observations; Primarina: 54.0% wins in 2,607 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: Serperior: 72.4% wins in 58 recorded pair observations; Incineroar: 69.9% wins in 93 recorded pair observations; Whimsicott: 68.9% wins in 74 recorded pair observations. Returned lower-win-rate opponent group: Polteageist: 36.4% wins in 66 recorded pair observations; Gallade: 41.6% wins in 89 recorded pair observations; Hatterene: 43.5% wins in 168 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
Garchomp3482 recorded pair observations · 13.88 pair observations per 100 analyzed battles
52.6%
Mimikyu
Mimikyu2758 recorded pair observations · 11.00 pair observations per 100 analyzed battles
54.5%
Primarina
Primarina2607 recorded pair observations · 10.39 pair observations per 100 analyzed battles
54.0%
Charizard
Charizard1868 recorded pair observations · 7.45 pair observations per 100 analyzed battles
54.1%
Corviknight
Corviknight1505 recorded pair observations · 6.00 pair observations per 100 analyzed battles
53.4%
Hippowdon
Hippowdon1306 recorded pair observations · 5.21 pair observations per 100 analyzed battles
54.9%
Baxcalibur
Baxcalibur1162 recorded pair observations · 4.63 pair observations per 100 analyzed battles
53.4%
Archaludon
Archaludon1140 recorded pair observations · 4.54 pair observations per 100 analyzed battles
57.4%
Gholdengo
Gholdengo1004 recorded pair observations · 4.00 pair observations per 100 analyzed battles
53.1%
Basculegion
Basculegion867 recorded pair observations · 3.46 pair observations per 100 analyzed battles
54.1%
Hydreigon
Hydreigon676 recorded pair observations · 2.70 pair observations per 100 analyzed battles
52.4%
Salamence
Salamence560 recorded pair observations · 2.23 pair observations per 100 analyzed battles
52.3%
Dragonite
Dragonite503 recorded pair observations · 2.01 pair observations per 100 analyzed battles
59.4%
Indeedee
Indeedee456 recorded pair observations · 1.82 pair observations per 100 analyzed battles
58.3%
Meowscarada
Meowscarada385 recorded pair observations · 1.53 pair observations per 100 analyzed battles
50.9%
Rotom-Heat
Rotom-Heat375 recorded pair observations · 1.50 pair observations per 100 analyzed battles
52.8%
Venusaur
Venusaur312 recorded pair observations · 1.24 pair observations per 100 analyzed battles
50.3%
Rillaboom
Rillaboom295 recorded pair observations · 1.18 pair observations per 100 analyzed battles
48.8%
Greninja
Greninja277 recorded pair observations · 1.10 pair observations per 100 analyzed battles
53.1%
Cinderace
Cinderace268 recorded pair observations · 1.07 pair observations per 100 analyzed battles
56.7%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1878 recorded pair observations · 7.49 pair observations per 100 analyzed battles
51.7%
Primarina
Primarina1389 recorded pair observations · 5.54 pair observations per 100 analyzed battles
52.0%
Archaludon
Archaludon1221 recorded pair observations · 4.87 pair observations per 100 analyzed battles
48.3%
Gholdengo
Gholdengo1075 recorded pair observations · 4.29 pair observations per 100 analyzed battles
53.4%
Hippowdon
Hippowdon1074 recorded pair observations · 4.28 pair observations per 100 analyzed battles
53.5%
Mimikyu
Mimikyu1053 recorded pair observations · 4.20 pair observations per 100 analyzed battles
46.8%
Salamence
Salamence901 recorded pair observations · 3.59 pair observations per 100 analyzed battles
58.3%
Corviknight
Corviknight871 recorded pair observations · 3.47 pair observations per 100 analyzed battles
48.7%
Golisopod
Golisopod864 recorded pair observations · 3.44 pair observations per 100 analyzed battles
48.4%
Basculegion
Basculegion826 recorded pair observations · 3.29 pair observations per 100 analyzed battles
48.3%
Lucario
Lucario653 recorded pair observations · 2.60 pair observations per 100 analyzed battles
50.2%
Charizard
Charizard625 recorded pair observations · 2.49 pair observations per 100 analyzed battles
46.7%
Kingambit
Kingambit583 recorded pair observations · 2.32 pair observations per 100 analyzed battles
53.5%
Baxcalibur
Baxcalibur564 recorded pair observations · 2.25 pair observations per 100 analyzed battles
52.5%
Metagross
Metagross552 recorded pair observations · 2.20 pair observations per 100 analyzed battles
50.0%
Dragonite
Dragonite528 recorded pair observations · 2.11 pair observations per 100 analyzed battles
49.2%
Clefable
Clefable490 recorded pair observations · 1.95 pair observations per 100 analyzed battles
55.7%
Meowscarada
Meowscarada476 recorded pair observations · 1.90 pair observations per 100 analyzed battles
50.0%
Toxapex
Toxapex474 recorded pair observations · 1.89 pair observations per 100 analyzed battles
50.0%
Starmie
Starmie454 recorded pair observations · 1.81 pair observations per 100 analyzed battles
49.1%

Higher Win-rate Partners

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

Mamoswine
Mamoswine55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
67.3%
Arcanine-Hisui
Arcanine-Hisui101 recorded pair observations · 0.40 pair observations per 100 analyzed battles
61.4%
Clefable
Clefable138 recorded pair observations · 0.55 pair observations per 100 analyzed battles
60.1%
Samurott-Hisui
Samurott-Hisui155 recorded pair observations · 0.62 pair observations per 100 analyzed battles
60.0%
Dragonite
Dragonite503 recorded pair observations · 2.01 pair observations per 100 analyzed battles
59.4%
Umbreon
Umbreon82 recorded pair observations · 0.33 pair observations per 100 analyzed battles
58.5%
Indeedee
Indeedee456 recorded pair observations · 1.82 pair observations per 100 analyzed battles
58.3%
Blastoise
Blastoise79 recorded pair observations · 0.31 pair observations per 100 analyzed battles
58.2%
Archaludon
Archaludon1140 recorded pair observations · 4.54 pair observations per 100 analyzed battles
57.4%
Cinderace
Cinderace268 recorded pair observations · 1.07 pair observations per 100 analyzed battles
56.7%

Lower Win-rate Partners

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

Dragapult
Dragapult54 recorded pair observations · 0.22 pair observations per 100 analyzed battles
38.9%
Volcarona
Volcarona156 recorded pair observations · 0.62 pair observations per 100 analyzed battles
39.1%
Starmie
Starmie74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
39.2%
Staraptor
Staraptor101 recorded pair observations · 0.40 pair observations per 100 analyzed battles
40.6%
Ditto
Ditto70 recorded pair observations · 0.28 pair observations per 100 analyzed battles
42.9%
Incineroar
Incineroar67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
43.3%
Empoleon
Empoleon124 recorded pair observations · 0.49 pair observations per 100 analyzed battles
43.5%
Lucario
Lucario109 recorded pair observations · 0.43 pair observations per 100 analyzed battles
45.0%
Sneasler
Sneasler140 recorded pair observations · 0.56 pair observations per 100 analyzed battles
45.7%
Pelipper
Pelipper61 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.9%

Higher Win-rate Opponent Teams

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

Serperior
Serperior58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
72.4%
Incineroar
Incineroar93 recorded pair observations · 0.37 pair observations per 100 analyzed battles
69.9%
Whimsicott
Whimsicott74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
68.9%
Mamoswine
Mamoswine72 recorded pair observations · 0.29 pair observations per 100 analyzed battles
68.1%
Chandelure
Chandelure54 recorded pair observations · 0.22 pair observations per 100 analyzed battles
66.7%
Palafin
Palafin64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
64.1%
Toucannon
Toucannon57 recorded pair observations · 0.23 pair observations per 100 analyzed battles
63.2%
Eelektross
Eelektross62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
62.9%
Meganium
Meganium132 recorded pair observations · 0.53 pair observations per 100 analyzed battles
62.1%
Hydreigon
Hydreigon188 recorded pair observations · 0.75 pair observations per 100 analyzed battles
61.7%

Lower Win-rate Opponent Teams

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

Polteageist
Polteageist66 recorded pair observations · 0.26 pair observations per 100 analyzed battles
36.4%
Gallade
Gallade89 recorded pair observations · 0.35 pair observations per 100 analyzed battles
41.6%
Hatterene
Hatterene168 recorded pair observations · 0.67 pair observations per 100 analyzed battles
43.5%
Rotom-Heat
Rotom-Heat131 recorded pair observations · 0.52 pair observations per 100 analyzed battles
44.3%
Indeedee
Indeedee391 recorded pair observations · 1.56 pair observations per 100 analyzed battles
44.5%
Blastoise
Blastoise250 recorded pair observations · 1.00 pair observations per 100 analyzed battles
46.0%
Zoroark-Hisui
Zoroark-Hisui113 recorded pair observations · 0.45 pair observations per 100 analyzed battles
46.0%
Charizard
Charizard625 recorded pair observations · 2.49 pair observations per 100 analyzed battles
46.7%
Skarmory
Skarmory122 recorded pair observations · 0.49 pair observations per 100 analyzed battles
46.7%
Mimikyu
Mimikyu1053 recorded pair observations · 4.20 pair observations per 100 analyzed battles
46.8%