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

Blaziken

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

2.60%Usage Rate
48.16%Win Rate
38.15%Lead Rate
61.07%Selection Rate
1252Avg Rating

16718 recorded team appearances · 8051 wins · 8667 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Detect Recorded use in 3364 of 16718 distinct recorded team appearances (20.1%) 1610 winning team uses of 3364 recorded team uses
47.9%
Flare Blitz Recorded use in 3013 of 16718 distinct recorded team appearances (18.0%) 1733 winning team uses of 3013 recorded team uses
57.5%
Protect Recorded use in 2940 of 16718 distinct recorded team appearances (17.6%) 1337 winning team uses of 2940 recorded team uses
45.5%
Close Combat Recorded use in 2809 of 16718 distinct recorded team appearances (16.8%) 1634 winning team uses of 2809 recorded team uses
58.2%
Rock Slide Recorded use in 2034 of 16718 distinct recorded team appearances (12.2%) 1135 winning team uses of 2034 recorded team uses
55.8%
Heat Wave Recorded use in 1086 of 16718 distinct recorded team appearances (6.5%) 588 winning team uses of 1086 recorded team uses
54.1%
Aura Sphere Recorded use in 837 of 16718 distinct recorded team appearances (5.0%) 472 winning team uses of 837 recorded team uses
56.4%
Swords Dance Recorded use in 647 of 16718 distinct recorded team appearances (3.9%) 306 winning team uses of 647 recorded team uses
47.3%
Coaching Recorded use in 609 of 16718 distinct recorded team appearances (3.6%) 275 winning team uses of 609 recorded team uses
45.2%
Baton Pass Recorded use in 406 of 16718 distinct recorded team appearances (2.4%) 192 winning team uses of 406 recorded team uses
47.3%

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 11:01–2026/10/16 00:34 UTC 2.43 47.69 160968 3904 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 2.60 48.98 160966 4187 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 2.60 48.29 160966 4185 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 2.76 47.66 160966 4442 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 3.19 47.26 128104 4088 Observed
~R1208 2.81 47.45 129182 3625 Observed
~R1302 2.36 49.55 126962 2999 Observed
~R1405 2.43 49.46 130626 3174 Observed
R1405~ 2.20 47.42 128992 2832 Observed

Blaziken Observed Statistics

Performance Metrics

Blaziken has a reported usage rate of 2.60% and win rate of 48.16% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 8,051 wins and 8,667 losses (16,718 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 2.43% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 2.76% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 team slots), a change of +0.33 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 47.69% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=3,904 recorded appearances) and 47.66% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=4,442 recorded appearances), a change of -0.03 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 2.20% (R1405~; n=128,992 team slots) to 3.19% (~R1129; n=128,104 team slots), a spread of 0.99 percentage points. Overall usage was 2.60%. 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, Detect has the largest recorded team-use count (3,364; 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: 50.8% wins in 7,160 recorded pair observations; Kingambit: 52.4% wins in 5,686 recorded pair observations; Indeedee-F: 48.3% wins in 3,484 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: Maushold: 58.5% wins in 376 recorded pair observations; Rotom-Heat: 57.7% wins in 324 recorded pair observations; Baxcalibur: 56.4% wins in 415 recorded pair observations. Returned lower-win-rate opponent group: Primarina: 43.0% wins in 877 recorded pair observations; Mawile: 43.1% wins in 327 recorded pair observations; Basculegion-F: 43.4% wins in 756 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
Rillaboom7160 recorded pair observations · 2.22 pair observations per 100 analyzed battles
50.8%
Kingambit
Kingambit5686 recorded pair observations · 1.77 pair observations per 100 analyzed battles
52.4%
Indeedee-F
Indeedee-F3484 recorded pair observations · 1.08 pair observations per 100 analyzed battles
48.3%
Garchomp
Garchomp3278 recorded pair observations · 1.02 pair observations per 100 analyzed battles
49.4%
Farigiraf
Farigiraf2882 recorded pair observations · 0.90 pair observations per 100 analyzed battles
49.7%
Sneasler
Sneasler2688 recorded pair observations · 0.83 pair observations per 100 analyzed battles
49.1%
Gholdengo
Gholdengo2177 recorded pair observations · 0.68 pair observations per 100 analyzed battles
47.7%
Torkoal
Torkoal2159 recorded pair observations · 0.67 pair observations per 100 analyzed battles
50.2%
Salamence
Salamence2046 recorded pair observations · 0.64 pair observations per 100 analyzed battles
51.8%
Milotic
Milotic1961 recorded pair observations · 0.61 pair observations per 100 analyzed battles
49.3%
Basculegion
Basculegion1912 recorded pair observations · 0.59 pair observations per 100 analyzed battles
50.3%
Primarina
Primarina1892 recorded pair observations · 0.59 pair observations per 100 analyzed battles
50.0%
Ninetales-Alola
Ninetales-Alola1768 recorded pair observations · 0.55 pair observations per 100 analyzed battles
48.9%
Whimsicott
Whimsicott1695 recorded pair observations · 0.53 pair observations per 100 analyzed battles
45.5%
Raichu
Raichu1596 recorded pair observations · 0.50 pair observations per 100 analyzed battles
47.4%
Metagross
Metagross1559 recorded pair observations · 0.48 pair observations per 100 analyzed battles
50.3%
Incineroar
Incineroar1515 recorded pair observations · 0.47 pair observations per 100 analyzed battles
50.2%
Sinistcha
Sinistcha1172 recorded pair observations · 0.36 pair observations per 100 analyzed battles
45.2%
Dragonite
Dragonite1152 recorded pair observations · 0.36 pair observations per 100 analyzed battles
48.4%
Froslass
Froslass1044 recorded pair observations · 0.32 pair observations per 100 analyzed battles
51.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom5222 recorded pair observations · 1.62 pair observations per 100 analyzed battles
48.1%
Sneasler
Sneasler5061 recorded pair observations · 1.57 pair observations per 100 analyzed battles
46.6%
Incineroar
Incineroar4467 recorded pair observations · 1.39 pair observations per 100 analyzed battles
47.4%
Garchomp
Garchomp4377 recorded pair observations · 1.36 pair observations per 100 analyzed battles
48.2%
Archaludon
Archaludon3183 recorded pair observations · 0.99 pair observations per 100 analyzed battles
44.6%
Raichu
Raichu3145 recorded pair observations · 0.98 pair observations per 100 analyzed battles
47.9%
Indeedee-F
Indeedee-F2836 recorded pair observations · 0.88 pair observations per 100 analyzed battles
48.0%
Pelipper
Pelipper2798 recorded pair observations · 0.87 pair observations per 100 analyzed battles
45.5%
Kingambit
Kingambit2792 recorded pair observations · 0.87 pair observations per 100 analyzed battles
48.0%
Farigiraf
Farigiraf2782 recorded pair observations · 0.86 pair observations per 100 analyzed battles
46.1%
Charizard
Charizard2776 recorded pair observations · 0.86 pair observations per 100 analyzed battles
46.7%
Golisopod
Golisopod2359 recorded pair observations · 0.73 pair observations per 100 analyzed battles
43.8%
Gholdengo
Gholdengo2168 recorded pair observations · 0.67 pair observations per 100 analyzed battles
49.5%
Whimsicott
Whimsicott1996 recorded pair observations · 0.62 pair observations per 100 analyzed battles
48.8%
Basculegion
Basculegion1932 recorded pair observations · 0.60 pair observations per 100 analyzed battles
45.9%
Salamence
Salamence1844 recorded pair observations · 0.57 pair observations per 100 analyzed battles
44.9%
Tyranitar
Tyranitar1605 recorded pair observations · 0.50 pair observations per 100 analyzed battles
48.2%
Sinistcha
Sinistcha1561 recorded pair observations · 0.48 pair observations per 100 analyzed battles
48.9%
Volcarona
Volcarona1443 recorded pair observations · 0.45 pair observations per 100 analyzed battles
52.7%
Milotic
Milotic1427 recorded pair observations · 0.44 pair observations per 100 analyzed battles
48.8%

Higher Win-rate Partners

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

Kommo-o
Kommo-o337 recorded pair observations · 0.10 pair observations per 100 analyzed battles
53.1%
Basculegion-F
Basculegion-F446 recorded pair observations · 0.14 pair observations per 100 analyzed battles
52.9%
Kingambit
Kingambit5686 recorded pair observations · 1.77 pair observations per 100 analyzed battles
52.4%
Gengar
Gengar488 recorded pair observations · 0.15 pair observations per 100 analyzed battles
52.0%
Meowstic-F
Meowstic-F492 recorded pair observations · 0.15 pair observations per 100 analyzed battles
51.8%
Salamence
Salamence2046 recorded pair observations · 0.64 pair observations per 100 analyzed battles
51.8%
Sylveon
Sylveon1032 recorded pair observations · 0.32 pair observations per 100 analyzed battles
51.8%
Froslass
Froslass1044 recorded pair observations · 0.32 pair observations per 100 analyzed battles
51.4%
Gardevoir
Gardevoir921 recorded pair observations · 0.29 pair observations per 100 analyzed battles
51.1%
Venusaur
Venusaur726 recorded pair observations · 0.23 pair observations per 100 analyzed battles
51.0%

Lower Win-rate Partners

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

Sableye
Sableye376 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.1%
Krookodile
Krookodile324 recorded pair observations · 0.10 pair observations per 100 analyzed battles
40.4%
Charizard
Charizard314 recorded pair observations · 0.10 pair observations per 100 analyzed battles
40.5%
Maushold
Maushold324 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.7%
Espathra
Espathra462 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.2%
Clefable
Clefable407 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.5%
Corviknight
Corviknight647 recorded pair observations · 0.20 pair observations per 100 analyzed battles
44.0%
Glimmora
Glimmora437 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.2%
Greninja
Greninja491 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.2%
Archaludon
Archaludon810 recorded pair observations · 0.25 pair observations per 100 analyzed battles
44.4%

Higher Win-rate Opponent Teams

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

Maushold
Maushold376 recorded pair observations · 0.12 pair observations per 100 analyzed battles
58.5%
Rotom-Heat
Rotom-Heat324 recorded pair observations · 0.10 pair observations per 100 analyzed battles
57.7%
Baxcalibur
Baxcalibur415 recorded pair observations · 0.13 pair observations per 100 analyzed battles
56.4%
Sceptile
Sceptile337 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.5%
Sableye
Sableye466 recorded pair observations · 0.14 pair observations per 100 analyzed battles
53.4%
Typhlosion-Hisui
Typhlosion-Hisui317 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.7%
Volcarona
Volcarona1443 recorded pair observations · 0.45 pair observations per 100 analyzed battles
52.7%
Hydreigon
Hydreigon313 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.4%
Rotom-Wash
Rotom-Wash331 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.0%
Ninetales-Alola
Ninetales-Alola621 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.9%

Lower Win-rate Opponent Teams

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

Primarina
Primarina877 recorded pair observations · 0.27 pair observations per 100 analyzed battles
43.0%
Mawile
Mawile327 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.1%
Basculegion-F
Basculegion-F756 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.4%
Golisopod
Golisopod2359 recorded pair observations · 0.73 pair observations per 100 analyzed battles
43.8%
Sylveon
Sylveon1364 recorded pair observations · 0.42 pair observations per 100 analyzed battles
43.9%
Venusaur
Venusaur1224 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.4%
Archaludon
Archaludon3183 recorded pair observations · 0.99 pair observations per 100 analyzed battles
44.6%
Politoed
Politoed1215 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.8%
Salamence
Salamence1844 recorded pair observations · 0.57 pair observations per 100 analyzed battles
44.9%
Torkoal
Torkoal904 recorded pair observations · 0.28 pair observations per 100 analyzed battles
45.1%