Last Updated: 10/26/2026 11:20 [UTC]

Sylveon

Tier C

VGC 2026 Regulation M-C (Pokemon Champions)

8.53%Usage Rate
52.03%Win Rate
23.53%Lead Rate
56.40%Selection Rate
1329Avg Rating

54935 recorded team appearances · 28582 wins · 26353 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 21886 of 54943 distinct recorded team appearances (39.8%) 12255 winning team uses of 21886 recorded team uses
56.0%
Detect Recorded use in 7457 of 54943 distinct recorded team appearances (13.6%) 3568 winning team uses of 7457 recorded team uses
47.8%
Protect Recorded use in 4386 of 54943 distinct recorded team appearances (8.0%) 2080 winning team uses of 4386 recorded team uses
47.4%
Hyper Beam Recorded use in 4128 of 54943 distinct recorded team appearances (7.5%) 2259 winning team uses of 4128 recorded team uses
54.7%
Quick Attack Recorded use in 3718 of 54943 distinct recorded team appearances (6.8%) 2070 winning team uses of 3718 recorded team uses
55.7%
Moonblast Recorded use in 2259 of 54943 distinct recorded team appearances (4.1%) 1322 winning team uses of 2259 recorded team uses
58.5%
Yawn Recorded use in 1780 of 54943 distinct recorded team appearances (3.2%) 969 winning team uses of 1780 recorded team uses
54.4%
Calm Mind Recorded use in 1401 of 54943 distinct recorded team appearances (2.5%) 748 winning team uses of 1401 recorded team uses
53.4%
Mystical Fire Recorded use in 555 of 54943 distinct recorded team appearances (1.0%) 274 winning team uses of 555 recorded team uses
49.4%
Round Recorded use in 382 of 54943 distinct recorded team appearances (0.7%) 184 winning team uses of 382 recorded team uses
48.2%

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 8.70 51.77 160964 14007 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 8.99 52.09 160962 14478 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:24 UTC 9.11 52.43 160962 14664 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 7.32 51.76 160962 11786 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 6.31 54.28 128104 8082 Observed
~R1208 7.35 51.72 129166 9489 Observed
~R1302 7.57 50.31 126962 9606 Observed
~R1405 8.13 51.92 130626 10625 Observed
R1405~ 13.28 52.17 128992 17133 Observed

Sylveon Observed Statistics

Performance Metrics

Sylveon has a reported usage rate of 8.53% and win rate of 52.03% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: C). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,925 recorded battles. 28,582 wins and 26,353 losses (54,935 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 8.70% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,964 team slots) and 7.32% 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 -1.38 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 51.77% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=14,007 recorded appearances) and 51.76% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=11,786 recorded appearances), a change of -0.01 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 6.31% (~R1129; n=128,104 team slots) to 13.28% (R1405~; n=128,992 team slots), a spread of 6.97 percentage points. Overall usage was 8.53%. 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, Hyper Voice has the largest recorded team-use count (21,886; 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: 53.2% wins in 29,822 recorded pair observations; Incineroar: 53.0% wins in 28,446 recorded pair observations; Charizard: 53.6% wins in 26,398 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: Sableye: 60.3% wins in 1,351 recorded pair observations; Absol: 58.5% wins in 914 recorded pair observations; Clefable: 57.9% wins in 744 recorded pair observations. Returned lower-win-rate opponent group: Camerupt: 46.3% wins in 1,293 recorded pair observations; Basculegion-F: 47.2% wins in 2,647 recorded pair observations; Venusaur: 48.9% wins in 4,488 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
Garchomp29822 recorded pair observations · 9.26 pair observations per 100 analyzed battles
53.2%
Incineroar
Incineroar28446 recorded pair observations · 8.84 pair observations per 100 analyzed battles
53.0%
Charizard
Charizard26398 recorded pair observations · 8.20 pair observations per 100 analyzed battles
53.6%
Farigiraf
Farigiraf24220 recorded pair observations · 7.52 pair observations per 100 analyzed battles
52.8%
Venusaur
Venusaur15360 recorded pair observations · 4.77 pair observations per 100 analyzed battles
54.2%
Rillaboom
Rillaboom14794 recorded pair observations · 4.60 pair observations per 100 analyzed battles
52.1%
Kingambit
Kingambit9504 recorded pair observations · 2.95 pair observations per 100 analyzed battles
54.0%
Raichu
Raichu9026 recorded pair observations · 2.80 pair observations per 100 analyzed battles
52.7%
Sneasler
Sneasler7309 recorded pair observations · 2.27 pair observations per 100 analyzed battles
50.9%
Toxapex
Toxapex7067 recorded pair observations · 2.20 pair observations per 100 analyzed battles
54.2%
Salamence
Salamence5579 recorded pair observations · 1.73 pair observations per 100 analyzed battles
52.9%
Aerodactyl
Aerodactyl5519 recorded pair observations · 1.71 pair observations per 100 analyzed battles
52.8%
Gholdengo
Gholdengo4876 recorded pair observations · 1.51 pair observations per 100 analyzed battles
52.3%
Basculegion
Basculegion4371 recorded pair observations · 1.36 pair observations per 100 analyzed battles
52.8%
Torkoal
Torkoal4258 recorded pair observations · 1.32 pair observations per 100 analyzed battles
50.2%
Whimsicott
Whimsicott3784 recorded pair observations · 1.18 pair observations per 100 analyzed battles
49.8%
Staraptor
Staraptor3760 recorded pair observations · 1.17 pair observations per 100 analyzed battles
51.5%
Arcanine-Hisui
Arcanine-Hisui3608 recorded pair observations · 1.12 pair observations per 100 analyzed battles
52.3%
Indeedee-F
Indeedee-F3185 recorded pair observations · 0.99 pair observations per 100 analyzed battles
47.9%
Camerupt
Camerupt3103 recorded pair observations · 0.96 pair observations per 100 analyzed battles
54.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom17596 recorded pair observations · 5.47 pair observations per 100 analyzed battles
51.3%
Sneasler
Sneasler17160 recorded pair observations · 5.33 pair observations per 100 analyzed battles
50.9%
Incineroar
Incineroar15238 recorded pair observations · 4.73 pair observations per 100 analyzed battles
51.5%
Garchomp
Garchomp15196 recorded pair observations · 4.72 pair observations per 100 analyzed battles
50.8%
Archaludon
Archaludon11111 recorded pair observations · 3.45 pair observations per 100 analyzed battles
50.2%
Raichu
Raichu10617 recorded pair observations · 3.30 pair observations per 100 analyzed battles
52.0%
Kingambit
Kingambit10104 recorded pair observations · 3.14 pair observations per 100 analyzed battles
50.6%
Charizard
Charizard9898 recorded pair observations · 3.07 pair observations per 100 analyzed battles
50.3%
Indeedee-F
Indeedee-F9300 recorded pair observations · 2.89 pair observations per 100 analyzed battles
52.9%
Farigiraf
Farigiraf9299 recorded pair observations · 2.89 pair observations per 100 analyzed battles
53.5%
Pelipper
Pelipper9123 recorded pair observations · 2.83 pair observations per 100 analyzed battles
49.8%
Golisopod
Golisopod7984 recorded pair observations · 2.48 pair observations per 100 analyzed battles
50.9%
Gholdengo
Gholdengo7282 recorded pair observations · 2.26 pair observations per 100 analyzed battles
50.8%
Basculegion
Basculegion6788 recorded pair observations · 2.11 pair observations per 100 analyzed battles
51.1%
Whimsicott
Whimsicott6340 recorded pair observations · 1.97 pair observations per 100 analyzed battles
53.5%
Salamence
Salamence6266 recorded pair observations · 1.95 pair observations per 100 analyzed battles
49.4%
Tyranitar
Tyranitar5436 recorded pair observations · 1.69 pair observations per 100 analyzed battles
49.1%
Sylveon
Sylveon5086 recorded pair observations · 1.58 pair observations per 100 analyzed battles
50.0%
Sinistcha
Sinistcha4892 recorded pair observations · 1.52 pair observations per 100 analyzed battles
53.6%
Volcarona
Volcarona4851 recorded pair observations · 1.51 pair observations per 100 analyzed battles
51.1%

Higher Win-rate Partners

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

Excadrill
Excadrill1198 recorded pair observations · 0.37 pair observations per 100 analyzed battles
55.3%
Camerupt
Camerupt3103 recorded pair observations · 0.96 pair observations per 100 analyzed battles
54.8%
Toxapex
Toxapex7067 recorded pair observations · 2.20 pair observations per 100 analyzed battles
54.2%
Venusaur
Venusaur15360 recorded pair observations · 4.77 pair observations per 100 analyzed battles
54.2%
Kingambit
Kingambit9504 recorded pair observations · 2.95 pair observations per 100 analyzed battles
54.0%
Charizard
Charizard26398 recorded pair observations · 8.20 pair observations per 100 analyzed battles
53.6%
Garchomp
Garchomp29822 recorded pair observations · 9.26 pair observations per 100 analyzed battles
53.2%
Incineroar
Incineroar28446 recorded pair observations · 8.84 pair observations per 100 analyzed battles
53.0%
Salamence
Salamence5579 recorded pair observations · 1.73 pair observations per 100 analyzed battles
52.9%
Swampert
Swampert592 recorded pair observations · 0.18 pair observations per 100 analyzed battles
52.9%

Lower Win-rate Partners

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

Dragapult
Dragapult776 recorded pair observations · 0.24 pair observations per 100 analyzed battles
42.1%
Golurk
Golurk738 recorded pair observations · 0.23 pair observations per 100 analyzed battles
44.9%
Talonflame
Talonflame711 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.3%
Politoed
Politoed713 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.7%
Froslass
Froslass559 recorded pair observations · 0.17 pair observations per 100 analyzed battles
46.9%
Gengar
Gengar829 recorded pair observations · 0.26 pair observations per 100 analyzed battles
46.9%
Volcarona
Volcarona1359 recorded pair observations · 0.42 pair observations per 100 analyzed battles
47.1%
Rotom-Wash
Rotom-Wash649 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.3%
Indeedee-F
Indeedee-F3185 recorded pair observations · 0.99 pair observations per 100 analyzed battles
47.9%
Floette-Eternal
Floette-Eternal637 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.5%

Higher Win-rate Opponent Teams

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

Sableye
Sableye1351 recorded pair observations · 0.42 pair observations per 100 analyzed battles
60.3%
Absol
Absol914 recorded pair observations · 0.28 pair observations per 100 analyzed battles
58.5%
Clefable
Clefable744 recorded pair observations · 0.23 pair observations per 100 analyzed battles
57.9%
Lucario
Lucario1554 recorded pair observations · 0.48 pair observations per 100 analyzed battles
57.7%
Meowscarada
Meowscarada566 recorded pair observations · 0.18 pair observations per 100 analyzed battles
57.6%
Typhlosion-Hisui
Typhlosion-Hisui859 recorded pair observations · 0.27 pair observations per 100 analyzed battles
57.6%
Grapploct
Grapploct640 recorded pair observations · 0.20 pair observations per 100 analyzed battles
57.0%
Maushold
Maushold1022 recorded pair observations · 0.32 pair observations per 100 analyzed battles
56.4%
Ninetales-Alola
Ninetales-Alola1680 recorded pair observations · 0.52 pair observations per 100 analyzed battles
56.2%
Blaziken
Blaziken1364 recorded pair observations · 0.42 pair observations per 100 analyzed battles
56.1%

Lower Win-rate Opponent Teams

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

Camerupt
Camerupt1293 recorded pair observations · 0.40 pair observations per 100 analyzed battles
46.3%
Basculegion-F
Basculegion-F2647 recorded pair observations · 0.82 pair observations per 100 analyzed battles
47.2%
Venusaur
Venusaur4488 recorded pair observations · 1.39 pair observations per 100 analyzed battles
48.9%
Delphox
Delphox2072 recorded pair observations · 0.64 pair observations per 100 analyzed battles
49.0%
Excadrill
Excadrill3765 recorded pair observations · 1.17 pair observations per 100 analyzed battles
49.1%
Tyranitar
Tyranitar5436 recorded pair observations · 1.69 pair observations per 100 analyzed battles
49.1%
Swampert
Swampert2345 recorded pair observations · 0.73 pair observations per 100 analyzed battles
49.3%
Glimmora
Glimmora2393 recorded pair observations · 0.74 pair observations per 100 analyzed battles
49.4%
Salamence
Salamence6266 recorded pair observations · 1.95 pair observations per 100 analyzed battles
49.4%
Milotic
Milotic4796 recorded pair observations · 1.49 pair observations per 100 analyzed battles
49.5%