Last Updated: 10/25/2026 11:17 [UTC]

Kommo-o

Tier D

VGC 2026 Regulation M-C (Pokemon Champions)

4.53%Usage Rate
50.74%Win Rate
29.00%Lead Rate
55.23%Selection Rate
1327Avg Rating

29486 recorded team appearances · 14960 wins · 14526 losses · 10/11/2026–10/25/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Clanging Scales Recorded use in 8468 of 29487 distinct recorded team appearances (28.7%) 4968 winning team uses of 8468 recorded team uses
58.7%
Protect Recorded use in 7238 of 29487 distinct recorded team appearances (24.5%) 3651 winning team uses of 7238 recorded team uses
50.4%
Clangorous Soul Recorded use in 6511 of 29487 distinct recorded team appearances (22.1%) 3374 winning team uses of 6511 recorded team uses
51.8%
Aura Sphere Recorded use in 5017 of 29487 distinct recorded team appearances (17.0%) 2998 winning team uses of 5017 recorded team uses
59.8%
Flamethrower Recorded use in 1080 of 29487 distinct recorded team appearances (3.7%) 626 winning team uses of 1080 recorded team uses
58.0%
Drain Punch Recorded use in 399 of 29487 distinct recorded team appearances (1.4%) 234 winning team uses of 399 recorded team uses
58.6%
Vacuum Wave Recorded use in 368 of 29487 distinct recorded team appearances (1.2%) 186 winning team uses of 368 recorded team uses
50.5%
Body Press Recorded use in 235 of 29487 distinct recorded team appearances (0.8%) 131 winning team uses of 235 recorded team uses
55.7%
Iron Defense Recorded use in 185 of 29487 distinct recorded team appearances (0.6%) 84 winning team uses of 185 recorded team uses
45.4%
Draco Meteor Recorded use in 97 of 29487 distinct recorded team appearances (0.3%) 54 winning team uses of 97 recorded team uses
55.7%

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: 2026/10/11 11:01–2026/10/14 22:03 UTC 5.02 51.23 162620 8163 Observed
Period 2: 2026/10/14 22:03–2026/10/18 07:58 UTC 4.09 50.42 162618 6654 Observed
Period 3: 2026/10/18 07:58–2026/10/21 17:31 UTC 4.54 51.19 162618 7384 Observed
Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC 4.48 50.01 162618 7285 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1132 3.26 50.01 129866 4235 Observed
~R1209 3.62 50.54 129712 4695 Observed
~R1304 4.01 51.40 129444 5185 Observed
~R1406 4.93 51.32 130156 6415 Observed
R1406~ 6.82 50.38 131296 8956 Observed

Kommo-o Observed Statistics

Performance Metrics

Kommo-o has a reported usage rate of 4.53% and win rate of 50.74% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/11/2026 to 10/25/2026 (UTC), with 325,237 recorded battles. 14,960 wins and 14,526 losses (29,486 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 5.02% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=162,620 team slots) and 4.48% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=162,618 team slots), a change of -0.54 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 51.23% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=8,163 recorded appearances) and 50.01% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=7,285 recorded appearances), a change of -1.22 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 3.26% (~R1132; n=129,866 team slots) to 6.82% (R1406~; n=131,296 team slots), a spread of 3.56 percentage points. Overall usage was 4.53%. 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, Clanging Scales has the largest recorded team-use count (8,468; 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: Rillaboom: 51.5% wins in 12,525 recorded pair observations; Incineroar: 51.0% wins in 10,718 recorded pair observations; Kingambit: 52.2% wins in 7,456 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: Gliscor: 60.0% wins in 315 recorded pair observations; Clefable: 57.8% wins in 384 recorded pair observations; Rotom-Heat: 57.1% wins in 524 recorded pair observations. Returned lower-win-rate opponent group: Meganium: 45.8% wins in 421 recorded pair observations; Delphox: 46.0% wins in 1,077 recorded pair observations; Basculegion-F: 47.0% wins in 1,460 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%

Rillaboom
Rillaboom12525 recorded pair observations · 3.85 pair observations per 100 analyzed battles
51.5%
Incineroar
Incineroar10718 recorded pair observations · 3.30 pair observations per 100 analyzed battles
51.0%
Kingambit
Kingambit7456 recorded pair observations · 2.29 pair observations per 100 analyzed battles
52.2%
Gengar
Gengar6626 recorded pair observations · 2.04 pair observations per 100 analyzed battles
50.0%
Indeedee-F
Indeedee-F6189 recorded pair observations · 1.90 pair observations per 100 analyzed battles
50.1%
Sneasler
Sneasler5465 recorded pair observations · 1.68 pair observations per 100 analyzed battles
50.9%
Raichu
Raichu4210 recorded pair observations · 1.29 pair observations per 100 analyzed battles
51.0%
Charizard
Charizard3785 recorded pair observations · 1.16 pair observations per 100 analyzed battles
51.9%
Whimsicott
Whimsicott3447 recorded pair observations · 1.06 pair observations per 100 analyzed battles
52.0%
Gholdengo
Gholdengo3393 recorded pair observations · 1.04 pair observations per 100 analyzed battles
52.1%
Sinistcha
Sinistcha3371 recorded pair observations · 1.04 pair observations per 100 analyzed battles
50.1%
Metagross
Metagross3299 recorded pair observations · 1.01 pair observations per 100 analyzed battles
50.0%
Indeedee
Indeedee3263 recorded pair observations · 1.00 pair observations per 100 analyzed battles
52.5%
Gardevoir
Gardevoir2849 recorded pair observations · 0.88 pair observations per 100 analyzed battles
52.9%
Basculegion
Basculegion2674 recorded pair observations · 0.82 pair observations per 100 analyzed battles
54.2%
Volcarona
Volcarona2388 recorded pair observations · 0.73 pair observations per 100 analyzed battles
49.4%
Armarouge
Armarouge2369 recorded pair observations · 0.73 pair observations per 100 analyzed battles
49.5%
Glimmora
Glimmora2113 recorded pair observations · 0.65 pair observations per 100 analyzed battles
52.3%
Froslass
Froslass2062 recorded pair observations · 0.63 pair observations per 100 analyzed battles
52.1%
Floette-Eternal
Floette-Eternal2053 recorded pair observations · 0.63 pair observations per 100 analyzed battles
53.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom9583 recorded pair observations · 2.95 pair observations per 100 analyzed battles
52.0%
Sneasler
Sneasler9245 recorded pair observations · 2.84 pair observations per 100 analyzed battles
49.5%
Incineroar
Incineroar8405 recorded pair observations · 2.58 pair observations per 100 analyzed battles
51.8%
Garchomp
Garchomp7947 recorded pair observations · 2.44 pair observations per 100 analyzed battles
49.3%
Archaludon
Archaludon6047 recorded pair observations · 1.86 pair observations per 100 analyzed battles
49.8%
Raichu
Raichu5567 recorded pair observations · 1.71 pair observations per 100 analyzed battles
51.9%
Charizard
Charizard5345 recorded pair observations · 1.64 pair observations per 100 analyzed battles
47.7%
Kingambit
Kingambit5242 recorded pair observations · 1.61 pair observations per 100 analyzed battles
49.3%
Farigiraf
Farigiraf5095 recorded pair observations · 1.57 pair observations per 100 analyzed battles
49.4%
Pelipper
Pelipper5079 recorded pair observations · 1.56 pair observations per 100 analyzed battles
49.0%
Indeedee-F
Indeedee-F5065 recorded pair observations · 1.56 pair observations per 100 analyzed battles
49.9%
Golisopod
Golisopod4460 recorded pair observations · 1.37 pair observations per 100 analyzed battles
50.3%
Gholdengo
Gholdengo3906 recorded pair observations · 1.20 pair observations per 100 analyzed battles
50.4%
Basculegion
Basculegion3631 recorded pair observations · 1.12 pair observations per 100 analyzed battles
48.5%
Whimsicott
Whimsicott3389 recorded pair observations · 1.04 pair observations per 100 analyzed battles
48.6%
Salamence
Salamence3304 recorded pair observations · 1.02 pair observations per 100 analyzed battles
51.7%
Tyranitar
Tyranitar2736 recorded pair observations · 0.84 pair observations per 100 analyzed battles
50.2%
Sylveon
Sylveon2673 recorded pair observations · 0.82 pair observations per 100 analyzed battles
47.8%
Volcarona
Volcarona2644 recorded pair observations · 0.81 pair observations per 100 analyzed battles
52.8%
Sinistcha
Sinistcha2634 recorded pair observations · 0.81 pair observations per 100 analyzed battles
52.8%

Higher Win-rate Partners

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

Kangaskhan
Kangaskhan383 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.4%
Typhlosion-Hisui
Typhlosion-Hisui1117 recorded pair observations · 0.34 pair observations per 100 analyzed battles
56.9%
Skarmory
Skarmory408 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.7%
Swampert
Swampert1484 recorded pair observations · 0.46 pair observations per 100 analyzed battles
54.6%
Basculegion
Basculegion2674 recorded pair observations · 0.82 pair observations per 100 analyzed battles
54.2%
Arcanine-Hisui
Arcanine-Hisui1270 recorded pair observations · 0.39 pair observations per 100 analyzed battles
54.1%
Pelipper
Pelipper1978 recorded pair observations · 0.61 pair observations per 100 analyzed battles
54.1%
Archaludon
Archaludon1726 recorded pair observations · 0.53 pair observations per 100 analyzed battles
54.0%
Chandelure
Chandelure507 recorded pair observations · 0.16 pair observations per 100 analyzed battles
54.0%
Aerodactyl
Aerodactyl859 recorded pair observations · 0.26 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%

Toxtricity
Toxtricity348 recorded pair observations · 0.11 pair observations per 100 analyzed battles
37.9%
Blastoise
Blastoise553 recorded pair observations · 0.17 pair observations per 100 analyzed battles
43.8%
Alakazam
Alakazam348 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.0%
Espathra
Espathra336 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.0%
Lucario
Lucario323 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.2%
Sableye
Sableye494 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.1%
Ninetales-Alola
Ninetales-Alola1136 recorded pair observations · 0.35 pair observations per 100 analyzed battles
46.5%
Gliscor
Gliscor347 recorded pair observations · 0.11 pair observations per 100 analyzed battles
47.3%
Maushold
Maushold781 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.4%
Torkoal
Torkoal405 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.6%

Higher Win-rate Opponent Teams

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

Gliscor
Gliscor315 recorded pair observations · 0.10 pair observations per 100 analyzed battles
60.0%
Clefable
Clefable384 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.8%
Rotom-Heat
Rotom-Heat524 recorded pair observations · 0.16 pair observations per 100 analyzed battles
57.1%
Sableye
Sableye641 recorded pair observations · 0.20 pair observations per 100 analyzed battles
57.1%
Alakazam
Alakazam384 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.7%
Baxcalibur
Baxcalibur616 recorded pair observations · 0.19 pair observations per 100 analyzed battles
55.7%
Sceptile
Sceptile572 recorded pair observations · 0.18 pair observations per 100 analyzed battles
55.4%
Espathra
Espathra625 recorded pair observations · 0.19 pair observations per 100 analyzed battles
55.2%
Gengar
Gengar1499 recorded pair observations · 0.46 pair observations per 100 analyzed battles
55.2%
Rotom-Wash
Rotom-Wash511 recorded pair observations · 0.16 pair observations per 100 analyzed battles
54.8%

Lower Win-rate Opponent Teams

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

Meganium
Meganium421 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.8%
Delphox
Delphox1077 recorded pair observations · 0.33 pair observations per 100 analyzed battles
46.0%
Basculegion-F
Basculegion-F1460 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.0%
Dragonite
Dragonite1316 recorded pair observations · 0.40 pair observations per 100 analyzed battles
47.2%
Floette-Eternal
Floette-Eternal2412 recorded pair observations · 0.74 pair observations per 100 analyzed battles
47.3%
Staraptor
Staraptor2166 recorded pair observations · 0.67 pair observations per 100 analyzed battles
47.4%
Charizard
Charizard5345 recorded pair observations · 1.64 pair observations per 100 analyzed battles
47.7%
Indeedee
Indeedee1866 recorded pair observations · 0.57 pair observations per 100 analyzed battles
47.7%
Sylveon
Sylveon2673 recorded pair observations · 0.82 pair observations per 100 analyzed battles
47.8%
Grapploct
Grapploct354 recorded pair observations · 0.11 pair observations per 100 analyzed battles
48.0%