Last Updated: 10/26/2026 11:15 [UTC]

Salamence

Tier B

VGC 2026 Regulation M-C (Pokemon Champions)

10.99%Usage Rate
51.42%Win Rate
30.28%Lead Rate
51.99%Selection Rate
1298Avg Rating

70739 recorded team appearances · 36373 wins · 34366 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Hyper Voice Recorded use in 20558 of 70744 distinct recorded team appearances (29.1%) 11703 winning team uses of 20558 recorded team uses
56.9%
Protect Recorded use in 13801 of 70744 distinct recorded team appearances (19.5%) 6693 winning team uses of 13801 recorded team uses
48.5%
Tailwind Recorded use in 8583 of 70744 distinct recorded team appearances (12.1%) 4793 winning team uses of 8583 recorded team uses
55.8%
Draco Meteor Recorded use in 6551 of 70744 distinct recorded team appearances (9.3%) 3477 winning team uses of 6551 recorded team uses
53.1%
Flamethrower Recorded use in 3576 of 70744 distinct recorded team appearances (5.1%) 1938 winning team uses of 3576 recorded team uses
54.2%
Double-Edge Recorded use in 3312 of 70744 distinct recorded team appearances (4.7%) 1774 winning team uses of 3312 recorded team uses
53.6%
Dragon Pulse Recorded use in 1037 of 70744 distinct recorded team appearances (1.5%) 537 winning team uses of 1037 recorded team uses
51.8%
Dragon Dance Recorded use in 560 of 70744 distinct recorded team appearances (0.8%) 256 winning team uses of 560 recorded team uses
45.7%
Dragon Claw Recorded use in 531 of 70744 distinct recorded team appearances (0.8%) 259 winning team uses of 531 recorded team uses
48.8%
Heat Wave Recorded use in 424 of 70744 distinct recorded team appearances (0.6%) 221 winning team uses of 424 recorded team uses
52.1%

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 11:01–2026/10/16 00:34 UTC 11.29 50.98 160964 18180 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 12.00 50.77 160962 19323 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:24 UTC 10.93 51.63 160962 17590 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 9.72 52.49 160962 15646 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 9.02 54.10 128104 11553 Observed
~R1208 10.30 51.01 129166 13305 Observed
~R1302 11.01 51.59 126962 13981 Observed
~R1405 11.86 50.49 130626 15491 Observed
R1405~ 12.72 50.59 128992 16409 Observed

Salamence Observed Statistics

Performance Metrics

Salamence has a reported usage rate of 10.99% and win rate of 51.42% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: B). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,925 recorded battles. 36,373 wins and 34,366 losses (70,739 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 11.29% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,964 team slots) and 9.72% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,962 team slots), a change of -1.57 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 50.98% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=18,180 recorded appearances) and 52.49% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=15,646 recorded appearances), a change of +1.51 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 9.02% (~R1129; n=128,104 team slots) to 12.72% (R1405~; n=128,992 team slots), a spread of 3.70 percentage points. Overall usage was 10.99%. 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, Hyper Voice has the largest recorded team-use count (20,558; 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: Sneasler: 52.1% wins in 37,625 recorded pair observations; Rillaboom: 52.3% wins in 36,825 recorded pair observations; Kingambit: 53.1% wins in 20,799 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: 59.7% wins in 1,455 recorded pair observations; Clefable: 59.2% wins in 965 recorded pair observations; Alakazam: 58.3% wins in 1,043 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 43.8% wins in 3,377 recorded pair observations; Archaludon: 46.9% wins in 14,211 recorded pair observations; Politoed: 48.0% wins in 5,730 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%

Sneasler
Sneasler37625 recorded pair observations · 11.69 pair observations per 100 analyzed battles
52.1%
Rillaboom
Rillaboom36825 recorded pair observations · 11.44 pair observations per 100 analyzed battles
52.3%
Kingambit
Kingambit20799 recorded pair observations · 6.46 pair observations per 100 analyzed battles
53.1%
Tyranitar
Tyranitar17989 recorded pair observations · 5.59 pair observations per 100 analyzed battles
53.3%
Gholdengo
Gholdengo15939 recorded pair observations · 4.95 pair observations per 100 analyzed battles
53.0%
Excadrill
Excadrill15811 recorded pair observations · 4.91 pair observations per 100 analyzed battles
53.3%
Incineroar
Incineroar13869 recorded pair observations · 4.31 pair observations per 100 analyzed battles
50.1%
Basculegion
Basculegion13132 recorded pair observations · 4.08 pair observations per 100 analyzed battles
52.6%
Milotic
Milotic12617 recorded pair observations · 3.92 pair observations per 100 analyzed battles
51.6%
Indeedee
Indeedee11122 recorded pair observations · 3.45 pair observations per 100 analyzed battles
51.4%
Arcanine-Hisui
Arcanine-Hisui9320 recorded pair observations · 2.90 pair observations per 100 analyzed battles
52.8%
Floette-Eternal
Floette-Eternal9204 recorded pair observations · 2.86 pair observations per 100 analyzed battles
53.9%
Raichu
Raichu8755 recorded pair observations · 2.72 pair observations per 100 analyzed battles
51.9%
Indeedee-F
Indeedee-F7360 recorded pair observations · 2.29 pair observations per 100 analyzed battles
50.3%
Farigiraf
Farigiraf6145 recorded pair observations · 1.91 pair observations per 100 analyzed battles
50.7%
Sylveon
Sylveon5579 recorded pair observations · 1.73 pair observations per 100 analyzed battles
52.9%
Garchomp
Garchomp5336 recorded pair observations · 1.66 pair observations per 100 analyzed battles
50.0%
Corviknight
Corviknight5251 recorded pair observations · 1.63 pair observations per 100 analyzed battles
52.4%
Volcarona
Volcarona4754 recorded pair observations · 1.48 pair observations per 100 analyzed battles
50.6%
Whimsicott
Whimsicott4483 recorded pair observations · 1.39 pair observations per 100 analyzed battles
48.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom22497 recorded pair observations · 6.99 pair observations per 100 analyzed battles
50.7%
Sneasler
Sneasler21930 recorded pair observations · 6.81 pair observations per 100 analyzed battles
50.3%
Incineroar
Incineroar19539 recorded pair observations · 6.07 pair observations per 100 analyzed battles
51.4%
Garchomp
Garchomp19010 recorded pair observations · 5.91 pair observations per 100 analyzed battles
50.0%
Archaludon
Archaludon14211 recorded pair observations · 4.41 pair observations per 100 analyzed battles
46.9%
Raichu
Raichu13467 recorded pair observations · 4.18 pair observations per 100 analyzed battles
48.8%
Charizard
Charizard12424 recorded pair observations · 3.86 pair observations per 100 analyzed battles
50.9%
Kingambit
Kingambit12382 recorded pair observations · 3.85 pair observations per 100 analyzed battles
48.3%
Indeedee-F
Indeedee-F12261 recorded pair observations · 3.81 pair observations per 100 analyzed battles
53.2%
Farigiraf
Farigiraf11940 recorded pair observations · 3.71 pair observations per 100 analyzed battles
50.4%
Pelipper
Pelipper11929 recorded pair observations · 3.71 pair observations per 100 analyzed battles
48.9%
Golisopod
Golisopod10514 recorded pair observations · 3.27 pair observations per 100 analyzed battles
48.1%
Gholdengo
Gholdengo9225 recorded pair observations · 2.87 pair observations per 100 analyzed battles
50.2%
Whimsicott
Whimsicott8363 recorded pair observations · 2.60 pair observations per 100 analyzed battles
54.4%
Basculegion
Basculegion8338 recorded pair observations · 2.59 pair observations per 100 analyzed battles
50.7%
Salamence
Salamence7936 recorded pair observations · 2.47 pair observations per 100 analyzed battles
50.0%
Tyranitar
Tyranitar6782 recorded pair observations · 2.11 pair observations per 100 analyzed battles
51.8%
Sinistcha
Sinistcha6470 recorded pair observations · 2.01 pair observations per 100 analyzed battles
53.8%
Sylveon
Sylveon6266 recorded pair observations · 1.95 pair observations per 100 analyzed battles
50.6%
Volcarona
Volcarona6183 recorded pair observations · 1.92 pair observations per 100 analyzed battles
51.2%

Higher Win-rate Partners

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

Swampert
Swampert1263 recorded pair observations · 0.39 pair observations per 100 analyzed battles
54.0%
Floette-Eternal
Floette-Eternal9204 recorded pair observations · 2.86 pair observations per 100 analyzed battles
53.9%
Excadrill
Excadrill15811 recorded pair observations · 4.91 pair observations per 100 analyzed battles
53.3%
Tyranitar
Tyranitar17989 recorded pair observations · 5.59 pair observations per 100 analyzed battles
53.3%
Kingambit
Kingambit20799 recorded pair observations · 6.46 pair observations per 100 analyzed battles
53.1%
Gholdengo
Gholdengo15939 recorded pair observations · 4.95 pair observations per 100 analyzed battles
53.0%
Kommo-o
Kommo-o1669 recorded pair observations · 0.52 pair observations per 100 analyzed battles
53.0%
Sylveon
Sylveon5579 recorded pair observations · 1.73 pair observations per 100 analyzed battles
52.9%
Arcanine-Hisui
Arcanine-Hisui9320 recorded pair observations · 2.90 pair observations per 100 analyzed battles
52.8%
Torkoal
Torkoal1828 recorded pair observations · 0.57 pair observations per 100 analyzed battles
52.7%

Lower Win-rate Partners

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

Maushold
Maushold801 recorded pair observations · 0.25 pair observations per 100 analyzed battles
43.8%
Dragapult
Dragapult1309 recorded pair observations · 0.41 pair observations per 100 analyzed battles
44.5%
Sableye
Sableye825 recorded pair observations · 0.26 pair observations per 100 analyzed battles
45.7%
Grimmsnarl
Grimmsnarl1328 recorded pair observations · 0.41 pair observations per 100 analyzed battles
46.5%
Lucario
Lucario2159 recorded pair observations · 0.67 pair observations per 100 analyzed battles
47.3%
Pelipper
Pelipper3854 recorded pair observations · 1.20 pair observations per 100 analyzed battles
47.4%
Rotom-Heat
Rotom-Heat711 recorded pair observations · 0.22 pair observations per 100 analyzed battles
47.8%
Metagross
Metagross2822 recorded pair observations · 0.88 pair observations per 100 analyzed battles
48.6%
Whimsicott
Whimsicott4483 recorded pair observations · 1.39 pair observations per 100 analyzed battles
48.8%
Rotom-Wash
Rotom-Wash1130 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.9%

Higher Win-rate Opponent Teams

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

Maushold
Maushold1455 recorded pair observations · 0.45 pair observations per 100 analyzed battles
59.7%
Clefable
Clefable965 recorded pair observations · 0.30 pair observations per 100 analyzed battles
59.2%
Alakazam
Alakazam1043 recorded pair observations · 0.32 pair observations per 100 analyzed battles
58.3%
Rotom-Wash
Rotom-Wash1302 recorded pair observations · 0.40 pair observations per 100 analyzed battles
57.7%
Sceptile
Sceptile1325 recorded pair observations · 0.41 pair observations per 100 analyzed battles
57.5%
Absol
Absol1288 recorded pair observations · 0.40 pair observations per 100 analyzed battles
57.2%
Gliscor
Gliscor743 recorded pair observations · 0.23 pair observations per 100 analyzed battles
56.1%
Sableye
Sableye1778 recorded pair observations · 0.55 pair observations per 100 analyzed battles
55.7%
Lucario
Lucario2076 recorded pair observations · 0.64 pair observations per 100 analyzed battles
55.4%
Tsareena
Tsareena976 recorded pair observations · 0.30 pair observations per 100 analyzed battles
55.3%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F3377 recorded pair observations · 1.05 pair observations per 100 analyzed battles
43.8%
Archaludon
Archaludon14211 recorded pair observations · 4.41 pair observations per 100 analyzed battles
46.9%
Politoed
Politoed5730 recorded pair observations · 1.78 pair observations per 100 analyzed battles
48.0%
Froslass
Froslass3524 recorded pair observations · 1.09 pair observations per 100 analyzed battles
48.1%
Golisopod
Golisopod10514 recorded pair observations · 3.27 pair observations per 100 analyzed battles
48.1%
Kingambit
Kingambit12382 recorded pair observations · 3.85 pair observations per 100 analyzed battles
48.3%
Kommo-o
Kommo-o3218 recorded pair observations · 1.00 pair observations per 100 analyzed battles
48.3%
Raichu
Raichu13467 recorded pair observations · 4.18 pair observations per 100 analyzed battles
48.8%
Arcanine-Hisui
Arcanine-Hisui3580 recorded pair observations · 1.11 pair observations per 100 analyzed battles
48.9%
Floette-Eternal
Floette-Eternal5329 recorded pair observations · 1.66 pair observations per 100 analyzed battles
48.9%