Last Updated: 10/26/2026 11:03 [UTC]

Charizard

Tier B

BSS Regulation M-C (Pokemon Champions)

12.25%Usage Rate
51.16%Win Rate
23.73%Lead Rate
53.28%Selection Rate
1202Avg Rating

6145 recorded team appearances · 3144 wins · 3001 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Flamethrower Recorded use in 1233 of 6145 distinct recorded team appearances (20.1%) 660 winning team uses of 1233 recorded team uses
53.5%
Solar Beam Recorded use in 791 of 6145 distinct recorded team appearances (12.9%) 454 winning team uses of 791 recorded team uses
57.4%
Dragon Pulse Recorded use in 511 of 6145 distinct recorded team appearances (8.3%) 252 winning team uses of 511 recorded team uses
49.3%
Weather Ball Recorded use in 371 of 6145 distinct recorded team appearances (6.0%) 209 winning team uses of 371 recorded team uses
56.3%
Dragon Dance Recorded use in 329 of 6145 distinct recorded team appearances (5.4%) 168 winning team uses of 329 recorded team uses
51.1%
Roost Recorded use in 263 of 6145 distinct recorded team appearances (4.3%) 95 winning team uses of 263 recorded team uses
36.1%
Flare Blitz Recorded use in 215 of 6145 distinct recorded team appearances (3.5%) 123 winning team uses of 215 recorded team uses
57.2%
Dragon Claw Recorded use in 211 of 6145 distinct recorded team appearances (3.4%) 118 winning team uses of 211 recorded team uses
55.9%
Air Slash Recorded use in 160 of 6145 distinct recorded team appearances (2.6%) 83 winning team uses of 160 recorded team uses
51.9%
Thunder Punch Recorded use in 136 of 6145 distinct recorded team appearances (2.2%) 79 winning team uses of 136 recorded team uses
58.1%

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 15.86 50.03 12542 1989 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 10.52 52.12 12542 1320 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 11.74 51.43 12542 1472 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 10.88 51.61 12540 1364 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 10.71 51.78 9968 1068 Observed
~R1142 11.21 53.49 9958 1116 Observed
~R1208 12.61 52.43 10104 1274 Observed
~R1298 13.58 50.33 10004 1359 Observed
R1298~ 13.11 48.34 10132 1328 Observed

Charizard Observed Statistics

Performance Metrics

Charizard has a reported usage rate of 12.25% and win rate of 51.16% 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. 3,144 wins and 3,001 losses (6,145 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 15.86% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 10.88% 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 -4.98 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 50.03% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=1,989 recorded appearances) and 51.61% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=1,364 recorded appearances), a change of +1.58 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 10.71% (~R1089; n=9,968 team slots) to 13.58% (~R1298; n=10,004 team slots), a spread of 2.87 percentage points. Overall usage was 12.25%. 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, Flamethrower has the largest recorded team-use count (1,233; 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: 51.7% wins in 3,451 recorded pair observations; Mimikyu: 53.9% wins in 2,152 recorded pair observations; Metagross: 54.1% wins in 1,868 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: Milotic: 73.8% wins in 61 recorded pair observations; Sableye: 67.5% wins in 83 recorded pair observations; Mamoswine: 63.5% wins in 85 recorded pair observations. Returned lower-win-rate opponent group: Polteageist: 39.2% wins in 74 recorded pair observations; Skarmory: 42.3% wins in 168 recorded pair observations; Gliscor: 42.6% wins in 272 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
Garchomp3451 recorded pair observations · 13.76 pair observations per 100 analyzed battles
51.7%
Mimikyu
Mimikyu2152 recorded pair observations · 8.58 pair observations per 100 analyzed battles
53.9%
Metagross
Metagross1868 recorded pair observations · 7.45 pair observations per 100 analyzed battles
54.1%
Corviknight
Corviknight1803 recorded pair observations · 7.19 pair observations per 100 analyzed battles
51.9%
Baxcalibur
Baxcalibur1629 recorded pair observations · 6.49 pair observations per 100 analyzed battles
53.7%
Primarina
Primarina1488 recorded pair observations · 5.93 pair observations per 100 analyzed battles
51.7%
Hippowdon
Hippowdon1189 recorded pair observations · 4.74 pair observations per 100 analyzed battles
53.1%
Archaludon
Archaludon1088 recorded pair observations · 4.34 pair observations per 100 analyzed battles
53.9%
Basculegion
Basculegion893 recorded pair observations · 3.56 pair observations per 100 analyzed battles
51.7%
Golisopod
Golisopod619 recorded pair observations · 2.47 pair observations per 100 analyzed battles
56.1%
Meowscarada
Meowscarada507 recorded pair observations · 2.02 pair observations per 100 analyzed battles
52.7%
Rillaboom
Rillaboom469 recorded pair observations · 1.87 pair observations per 100 analyzed battles
47.8%
Lucario
Lucario452 recorded pair observations · 1.80 pair observations per 100 analyzed battles
54.9%
Rotom-Wash
Rotom-Wash431 recorded pair observations · 1.72 pair observations per 100 analyzed battles
49.4%
Gholdengo
Gholdengo430 recorded pair observations · 1.71 pair observations per 100 analyzed battles
50.2%
Hatterene
Hatterene386 recorded pair observations · 1.54 pair observations per 100 analyzed battles
48.5%
Sneasler
Sneasler322 recorded pair observations · 1.28 pair observations per 100 analyzed battles
49.4%
Hydreigon
Hydreigon316 recorded pair observations · 1.26 pair observations per 100 analyzed battles
47.5%
Kingambit
Kingambit301 recorded pair observations · 1.20 pair observations per 100 analyzed battles
51.2%
Floette-Eternal
Floette-Eternal296 recorded pair observations · 1.18 pair observations per 100 analyzed battles
53.7%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp2067 recorded pair observations · 8.24 pair observations per 100 analyzed battles
50.9%
Primarina
Primarina1438 recorded pair observations · 5.73 pair observations per 100 analyzed battles
49.2%
Archaludon
Archaludon1285 recorded pair observations · 5.12 pair observations per 100 analyzed battles
48.2%
Mimikyu
Mimikyu1128 recorded pair observations · 4.50 pair observations per 100 analyzed battles
47.2%
Gholdengo
Gholdengo1123 recorded pair observations · 4.48 pair observations per 100 analyzed battles
48.3%
Hippowdon
Hippowdon1122 recorded pair observations · 4.47 pair observations per 100 analyzed battles
49.8%
Salamence
Salamence1031 recorded pair observations · 4.11 pair observations per 100 analyzed battles
50.8%
Corviknight
Corviknight980 recorded pair observations · 3.91 pair observations per 100 analyzed battles
49.7%
Golisopod
Golisopod947 recorded pair observations · 3.78 pair observations per 100 analyzed battles
49.4%
Basculegion
Basculegion893 recorded pair observations · 3.56 pair observations per 100 analyzed battles
47.3%
Charizard
Charizard728 recorded pair observations · 2.90 pair observations per 100 analyzed battles
50.0%
Lucario
Lucario711 recorded pair observations · 2.83 pair observations per 100 analyzed battles
49.6%
Baxcalibur
Baxcalibur675 recorded pair observations · 2.69 pair observations per 100 analyzed battles
46.5%
Kingambit
Kingambit675 recorded pair observations · 2.69 pair observations per 100 analyzed battles
53.3%
Metagross
Metagross625 recorded pair observations · 2.49 pair observations per 100 analyzed battles
53.3%
Floette-Eternal
Floette-Eternal603 recorded pair observations · 2.40 pair observations per 100 analyzed battles
45.9%
Dragonite
Dragonite602 recorded pair observations · 2.40 pair observations per 100 analyzed battles
47.7%
Meowscarada
Meowscarada599 recorded pair observations · 2.39 pair observations per 100 analyzed battles
49.9%
Toxapex
Toxapex539 recorded pair observations · 2.15 pair observations per 100 analyzed battles
46.2%
Scizor
Scizor489 recorded pair observations · 1.95 pair observations per 100 analyzed battles
59.3%

Higher Win-rate Partners

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

Mawile
Mawile86 recorded pair observations · 0.34 pair observations per 100 analyzed battles
60.5%
Indeedee
Indeedee237 recorded pair observations · 0.94 pair observations per 100 analyzed battles
59.1%
Samurott-Hisui
Samurott-Hisui231 recorded pair observations · 0.92 pair observations per 100 analyzed battles
56.7%
Blastoise
Blastoise195 recorded pair observations · 0.78 pair observations per 100 analyzed battles
56.4%
Golisopod
Golisopod619 recorded pair observations · 2.47 pair observations per 100 analyzed battles
56.1%
Clefable
Clefable287 recorded pair observations · 1.14 pair observations per 100 analyzed battles
55.8%
Empoleon
Empoleon167 recorded pair observations · 0.67 pair observations per 100 analyzed battles
55.7%
Vanilluxe
Vanilluxe99 recorded pair observations · 0.39 pair observations per 100 analyzed battles
55.6%
Greninja
Greninja249 recorded pair observations · 0.99 pair observations per 100 analyzed battles
55.4%
Umbreon
Umbreon157 recorded pair observations · 0.63 pair observations per 100 analyzed battles
55.4%

Lower Win-rate Partners

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

Eelektross
Eelektross111 recorded pair observations · 0.44 pair observations per 100 analyzed battles
30.6%
Feraligatr
Feraligatr119 recorded pair observations · 0.47 pair observations per 100 analyzed battles
31.9%
Sylveon
Sylveon194 recorded pair observations · 0.77 pair observations per 100 analyzed battles
37.1%
Pelipper
Pelipper78 recorded pair observations · 0.31 pair observations per 100 analyzed battles
37.2%
Swampert
Swampert74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
39.2%
Skarmory
Skarmory128 recorded pair observations · 0.51 pair observations per 100 analyzed battles
40.6%
Incineroar
Incineroar196 recorded pair observations · 0.78 pair observations per 100 analyzed battles
41.3%
Araquanid
Araquanid120 recorded pair observations · 0.48 pair observations per 100 analyzed battles
41.7%
Venusaur
Venusaur274 recorded pair observations · 1.09 pair observations per 100 analyzed battles
43.4%
Gyarados
Gyarados73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
43.8%

Higher Win-rate Opponent Teams

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

Milotic
Milotic61 recorded pair observations · 0.24 pair observations per 100 analyzed battles
73.8%
Sableye
Sableye83 recorded pair observations · 0.33 pair observations per 100 analyzed battles
67.5%
Mamoswine
Mamoswine85 recorded pair observations · 0.34 pair observations per 100 analyzed battles
63.5%
Barbaracle
Barbaracle224 recorded pair observations · 0.89 pair observations per 100 analyzed battles
62.0%
Incineroar
Incineroar115 recorded pair observations · 0.46 pair observations per 100 analyzed battles
60.9%
Indeedee-F
Indeedee-F67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
59.7%
Excadrill
Excadrill136 recorded pair observations · 0.54 pair observations per 100 analyzed battles
59.6%
Gardevoir
Gardevoir74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
59.5%
Krookodile
Krookodile64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
59.4%
Scizor
Scizor489 recorded pair observations · 1.95 pair observations per 100 analyzed battles
59.3%

Lower Win-rate Opponent Teams

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

Polteageist
Polteageist74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
39.2%
Skarmory
Skarmory168 recorded pair observations · 0.67 pair observations per 100 analyzed battles
42.3%
Gliscor
Gliscor272 recorded pair observations · 1.08 pair observations per 100 analyzed battles
42.6%
Delphox
Delphox427 recorded pair observations · 1.70 pair observations per 100 analyzed battles
43.1%
Blastoise
Blastoise284 recorded pair observations · 1.13 pair observations per 100 analyzed battles
44.0%
Arcanine-Hisui
Arcanine-Hisui103 recorded pair observations · 0.41 pair observations per 100 analyzed battles
44.7%
Aegislash
Aegislash366 recorded pair observations · 1.46 pair observations per 100 analyzed battles
44.8%
Banette
Banette167 recorded pair observations · 0.67 pair observations per 100 analyzed battles
44.9%
Toucannon
Toucannon71 recorded pair observations · 0.28 pair observations per 100 analyzed battles
45.1%
Floette-Eternal
Floette-Eternal603 recorded pair observations · 2.40 pair observations per 100 analyzed battles
45.9%