Last Updated: 10/26/2026 11:07 [UTC]

Blaziken

Tier D

BSS Regulation M-C (Pokemon Champions)

6.10%Usage Rate
49.41%Win Rate
12.30%Lead Rate
40.09%Selection Rate
1171Avg Rating

3058 recorded team appearances · 1511 wins · 1547 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Flare Blitz Recorded use in 405 of 3058 distinct recorded team appearances (13.2%) 240 winning team uses of 405 recorded team uses
59.3%
Swords Dance Recorded use in 378 of 3058 distinct recorded team appearances (12.4%) 160 winning team uses of 378 recorded team uses
42.3%
Close Combat Recorded use in 339 of 3058 distinct recorded team appearances (11.1%) 203 winning team uses of 339 recorded team uses
59.9%
Protect Recorded use in 337 of 3058 distinct recorded team appearances (11.0%) 162 winning team uses of 337 recorded team uses
48.1%
Detect Recorded use in 233 of 3058 distinct recorded team appearances (7.6%) 114 winning team uses of 233 recorded team uses
48.9%
Baton Pass Recorded use in 204 of 3058 distinct recorded team appearances (6.7%) 99 winning team uses of 204 recorded team uses
48.5%
Thunder Punch Recorded use in 166 of 3058 distinct recorded team appearances (5.4%) 92 winning team uses of 166 recorded team uses
55.4%
High Jump Kick Recorded use in 82 of 3058 distinct recorded team appearances (2.7%) 34 winning team uses of 82 recorded team uses
41.5%
Blaze Kick Recorded use in 66 of 3058 distinct recorded team appearances (2.2%) 31 winning team uses of 66 recorded team uses
47.0%
Bulk Up Recorded use in 62 of 3058 distinct recorded team appearances (2.0%) 34 winning team uses of 62 recorded team uses
54.8%

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: 2026/10/12 11:01–2026/10/15 12:54 UTC 5.09 48.59 12542 638 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 6.98 50.86 12542 875 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 5.93 48.92 12542 744 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 6.39 48.94 12540 801 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 7.59 48.75 9968 757 Observed
~R1142 6.52 48.54 9958 649 Observed
~R1208 6.61 51.80 10104 668 Observed
~R1298 5.23 48.18 10004 523 Observed
R1298~ 4.55 49.67 10132 461 Observed

Blaziken Observed Statistics

Performance Metrics

Blaziken has a reported usage rate of 6.10% and win rate of 49.41% in BSS Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,511 wins and 1,547 losses (3,058 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 5.09% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 6.39% 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 +1.30 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 48.59% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=638 recorded appearances) and 48.94% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=801 recorded appearances), a change of +0.35 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 4.55% (R1298~; n=10,132 team slots) to 7.59% (~R1089; n=9,968 team slots), a spread of 3.04 percentage points. Overall usage was 6.10%. 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, Flare Blitz has the largest recorded team-use count (405; 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: 49.9% wins in 886 recorded pair observations; Archaludon: 50.4% wins in 678 recorded pair observations; Salamence: 51.0% wins in 588 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: Indeedee-F: 78.6% wins in 42 recorded pair observations; Armarouge: 67.4% wins in 46 recorded pair observations; Krookodile: 66.7% wins in 30 recorded pair observations. Returned lower-win-rate opponent group: Victreebel: 30.0% wins in 30 recorded pair observations; Vanilluxe: 38.5% wins in 39 recorded pair observations; Arcanine-Hisui: 40.8% wins in 49 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
Garchomp886 recorded pair observations · 3.53 pair observations per 100 analyzed battles
49.9%
Archaludon
Archaludon678 recorded pair observations · 2.70 pair observations per 100 analyzed battles
50.4%
Salamence
Salamence588 recorded pair observations · 2.34 pair observations per 100 analyzed battles
51.0%
Corviknight
Corviknight573 recorded pair observations · 2.28 pair observations per 100 analyzed battles
48.3%
Primarina
Primarina476 recorded pair observations · 1.90 pair observations per 100 analyzed battles
50.6%
Ninetales-Alola
Ninetales-Alola424 recorded pair observations · 1.69 pair observations per 100 analyzed battles
49.5%
Mimikyu
Mimikyu420 recorded pair observations · 1.67 pair observations per 100 analyzed battles
56.0%
Meowscarada
Meowscarada390 recorded pair observations · 1.55 pair observations per 100 analyzed battles
49.2%
Baxcalibur
Baxcalibur353 recorded pair observations · 1.41 pair observations per 100 analyzed battles
50.7%
Gholdengo
Gholdengo338 recorded pair observations · 1.35 pair observations per 100 analyzed battles
47.9%
Basculegion
Basculegion323 recorded pair observations · 1.29 pair observations per 100 analyzed battles
52.3%
Indeedee
Indeedee317 recorded pair observations · 1.26 pair observations per 100 analyzed battles
54.3%
Rillaboom
Rillaboom298 recorded pair observations · 1.19 pair observations per 100 analyzed battles
46.0%
Samurott-Hisui
Samurott-Hisui255 recorded pair observations · 1.02 pair observations per 100 analyzed battles
53.7%
Clefable
Clefable223 recorded pair observations · 0.89 pair observations per 100 analyzed battles
49.8%
Aegislash
Aegislash216 recorded pair observations · 0.86 pair observations per 100 analyzed battles
52.3%
Raichu
Raichu213 recorded pair observations · 0.85 pair observations per 100 analyzed battles
52.6%
Rotom-Wash
Rotom-Wash213 recorded pair observations · 0.85 pair observations per 100 analyzed battles
51.6%
Glimmora
Glimmora212 recorded pair observations · 0.85 pair observations per 100 analyzed battles
37.7%
Sneasler
Sneasler210 recorded pair observations · 0.84 pair observations per 100 analyzed battles
60.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1013 recorded pair observations · 4.04 pair observations per 100 analyzed battles
47.0%
Primarina
Primarina664 recorded pair observations · 2.65 pair observations per 100 analyzed battles
44.9%
Archaludon
Archaludon615 recorded pair observations · 2.45 pair observations per 100 analyzed battles
47.8%
Hippowdon
Hippowdon569 recorded pair observations · 2.27 pair observations per 100 analyzed battles
49.7%
Gholdengo
Gholdengo549 recorded pair observations · 2.19 pair observations per 100 analyzed battles
46.6%
Mimikyu
Mimikyu528 recorded pair observations · 2.11 pair observations per 100 analyzed battles
46.8%
Salamence
Salamence502 recorded pair observations · 2.00 pair observations per 100 analyzed battles
45.8%
Golisopod
Golisopod449 recorded pair observations · 1.79 pair observations per 100 analyzed battles
47.4%
Basculegion
Basculegion418 recorded pair observations · 1.67 pair observations per 100 analyzed battles
46.4%
Corviknight
Corviknight416 recorded pair observations · 1.66 pair observations per 100 analyzed battles
48.1%
Charizard
Charizard378 recorded pair observations · 1.51 pair observations per 100 analyzed battles
49.2%
Lucario
Lucario372 recorded pair observations · 1.48 pair observations per 100 analyzed battles
45.2%
Kingambit
Kingambit342 recorded pair observations · 1.36 pair observations per 100 analyzed battles
51.8%
Metagross
Metagross325 recorded pair observations · 1.30 pair observations per 100 analyzed battles
46.1%
Baxcalibur
Baxcalibur303 recorded pair observations · 1.21 pair observations per 100 analyzed battles
46.5%
Scizor
Scizor299 recorded pair observations · 1.19 pair observations per 100 analyzed battles
57.2%
Clefable
Clefable294 recorded pair observations · 1.17 pair observations per 100 analyzed battles
51.4%
Meowscarada
Meowscarada293 recorded pair observations · 1.17 pair observations per 100 analyzed battles
45.7%
Dragonite
Dragonite280 recorded pair observations · 1.12 pair observations per 100 analyzed battles
43.9%
Gyarados
Gyarados279 recorded pair observations · 1.11 pair observations per 100 analyzed battles
56.6%

Higher Win-rate Partners

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

Zoroark-Hisui
Zoroark-Hisui55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
67.3%
Clawitzer
Clawitzer64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
64.1%
Empoleon
Empoleon96 recorded pair observations · 0.38 pair observations per 100 analyzed battles
62.5%
Sneasler
Sneasler210 recorded pair observations · 0.84 pair observations per 100 analyzed battles
60.5%
Gallade
Gallade42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
57.1%
Audino
Audino44 recorded pair observations · 0.18 pair observations per 100 analyzed battles
56.8%
Floette-Eternal
Floette-Eternal97 recorded pair observations · 0.39 pair observations per 100 analyzed battles
56.7%
Banette
Banette119 recorded pair observations · 0.47 pair observations per 100 analyzed battles
56.3%
Hatterene
Hatterene48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
56.2%
Mimikyu
Mimikyu420 recorded pair observations · 1.67 pair observations per 100 analyzed battles
56.0%

Lower Win-rate Partners

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

Sableye
Sableye65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
26.1%
Weavile
Weavile35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
28.6%
Appletun
Appletun33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
33.3%
Quaquaval
Quaquaval74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
33.8%
Scolipede
Scolipede80 recorded pair observations · 0.32 pair observations per 100 analyzed battles
33.8%
Beedrill
Beedrill32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
34.4%
Dragonite
Dragonite69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
34.8%
Malamar
Malamar52 recorded pair observations · 0.21 pair observations per 100 analyzed battles
36.5%
Araquanid
Araquanid70 recorded pair observations · 0.28 pair observations per 100 analyzed battles
37.1%
Glimmora
Glimmora212 recorded pair observations · 0.85 pair observations per 100 analyzed battles
37.7%

Higher Win-rate Opponent Teams

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

Indeedee-F
Indeedee-F42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
78.6%
Armarouge
Armarouge46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
67.4%
Krookodile
Krookodile30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
66.7%
Palafin
Palafin41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
63.4%
Pincurchin
Pincurchin30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
63.3%
Hatterene
Hatterene102 recorded pair observations · 0.41 pair observations per 100 analyzed battles
62.8%
Araquanid
Araquanid94 recorded pair observations · 0.37 pair observations per 100 analyzed battles
61.7%
Sableye
Sableye39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
61.5%
Eelektross
Eelektross45 recorded pair observations · 0.18 pair observations per 100 analyzed battles
60.0%
Incineroar
Incineroar67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
59.7%

Lower Win-rate Opponent Teams

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

Victreebel
Victreebel30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
30.0%
Vanilluxe
Vanilluxe39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
38.5%
Arcanine-Hisui
Arcanine-Hisui49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
40.8%
Dragapult
Dragapult144 recorded pair observations · 0.57 pair observations per 100 analyzed battles
41.0%
Samurott-Hisui
Samurott-Hisui129 recorded pair observations · 0.51 pair observations per 100 analyzed battles
41.1%
Ditto
Ditto102 recorded pair observations · 0.41 pair observations per 100 analyzed battles
41.2%
Kleavor
Kleavor47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
42.5%
Absol
Absol75 recorded pair observations · 0.30 pair observations per 100 analyzed battles
42.7%
Banette
Banette75 recorded pair observations · 0.30 pair observations per 100 analyzed battles
42.7%
Snorlax
Snorlax42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
42.9%