Last Updated: 10/22/2026 11:18 [UTC]

Sceptile

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.96%Usage Rate
46.35%Win Rate
44.35%Lead Rate
62.52%Selection Rate
1212Avg Rating

12966 recorded team appearances · 6010 wins · 6956 losses · 10/08/2026–10/22/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Earth Power Recorded use in 3185 of 12966 distinct recorded team appearances (24.6%) 1670 winning team uses of 3185 recorded team uses
52.4%
Dragon Pulse Recorded use in 3087 of 12966 distinct recorded team appearances (23.8%) 1636 winning team uses of 3087 recorded team uses
53.0%
Energy Ball Recorded use in 2185 of 12966 distinct recorded team appearances (16.9%) 1109 winning team uses of 2185 recorded team uses
50.8%
Detect Recorded use in 2134 of 12966 distinct recorded team appearances (16.5%) 952 winning team uses of 2134 recorded team uses
44.6%
Protect Recorded use in 1593 of 12966 distinct recorded team appearances (12.3%) 678 winning team uses of 1593 recorded team uses
42.6%
Leaf Storm Recorded use in 337 of 12966 distinct recorded team appearances (2.6%) 174 winning team uses of 337 recorded team uses
51.6%
Giga Drain Recorded use in 207 of 12966 distinct recorded team appearances (1.6%) 103 winning team uses of 207 recorded team uses
49.8%
Shed Tail Recorded use in 134 of 12966 distinct recorded team appearances (1.0%) 51 winning team uses of 134 recorded team uses
38.1%
Vacuum Wave Recorded use in 52 of 12966 distinct recorded team appearances (0.4%) 23 winning team uses of 52 recorded team uses
44.2%
Substitute Recorded use in 46 of 12966 distinct recorded team appearances (0.4%) 25 winning team uses of 46 recorded team uses
54.3%

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: 2026/10/08 11:01–2026/10/11 21:40 UTC 1.55 46.03 165498 2568 Observed
Period 2: 2026/10/11 21:40–2026/10/15 11:06 UTC 2.76 47.03 165496 4565 Observed
Period 3: 2026/10/15 11:06–2026/10/18 21:23 UTC 1.91 45.39 165496 3155 Observed
Period 4: 2026/10/18 21:23–2026/10/22 10:59 UTC 1.62 46.64 165496 2678 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1136 2.86 48.62 131134 3756 Observed
~R1215 2.70 46.83 133014 3596 Observed
~R1308 2.08 44.99 131224 2732 Observed
~R1410 1.49 44.37 133370 1981 Observed
R1410~ 0.68 43.51 133244 901 Observed

Sceptile Observed Statistics

Performance Metrics

Sceptile has a reported usage rate of 1.96% and win rate of 46.35% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/08/2026 to 10/22/2026 (UTC), with 330,993 recorded battles. 6,010 wins and 6,956 losses (12,966 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 1.55% in the first available period (Period 1: 2026/10/08 11:01–2026/10/11 21:40 UTC; n=165,498 team slots) and 1.62% in the last available period (Period 4: 2026/10/18 21:23–2026/10/22 10:59 UTC; n=165,496 team slots), a change of +0.07 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 46.03% in the first available period (Period 1: 2026/10/08 11:01–2026/10/11 21:40 UTC; n=2,568 recorded appearances) and 46.64% in the last available period (Period 4: 2026/10/18 21:23–2026/10/22 10:59 UTC; n=2,678 recorded appearances), a change of +0.61 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 0.68% (R1410~; n=133,244 team slots) to 2.86% (~R1136; n=131,134 team slots), a spread of 2.18 percentage points. Overall usage was 1.96%. 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, Earth Power has the largest recorded team-use count (3,185; 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: Rotom-Heat: 47.5% wins in 7,383 recorded pair observations; Sneasler: 47.7% wins in 6,074 recorded pair observations; Indeedee-F: 47.1% wins in 5,997 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: 52.2% wins in 387 recorded pair observations; Sinistcha: 51.6% wins in 1,280 recorded pair observations; Lucario: 51.0% wins in 486 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 39.7% wins in 390 recorded pair observations; Hatterene: 40.5% wins in 333 recorded pair observations; Excadrill: 41.4% wins in 831 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%

Rotom-Heat
Rotom-Heat7383 recorded pair observations · 2.23 pair observations per 100 analyzed battles
47.5%
Sneasler
Sneasler6074 recorded pair observations · 1.84 pair observations per 100 analyzed battles
47.7%
Indeedee-F
Indeedee-F5997 recorded pair observations · 1.81 pair observations per 100 analyzed battles
47.1%
Tyranitar
Tyranitar5352 recorded pair observations · 1.62 pair observations per 100 analyzed battles
48.3%
Excadrill
Excadrill4868 recorded pair observations · 1.47 pair observations per 100 analyzed battles
48.1%
Garchomp
Garchomp1239 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.7%
Kingambit
Kingambit1236 recorded pair observations · 0.37 pair observations per 100 analyzed battles
46.4%
Rotom-Wash
Rotom-Wash1163 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.0%
Pelipper
Pelipper1154 recorded pair observations · 0.35 pair observations per 100 analyzed battles
45.3%
Basculegion
Basculegion1112 recorded pair observations · 0.34 pair observations per 100 analyzed battles
45.0%
Incineroar
Incineroar1108 recorded pair observations · 0.33 pair observations per 100 analyzed battles
45.3%
Gholdengo
Gholdengo1017 recorded pair observations · 0.31 pair observations per 100 analyzed battles
48.4%
Heliolisk
Heliolisk799 recorded pair observations · 0.24 pair observations per 100 analyzed battles
44.8%
Farigiraf
Farigiraf788 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.3%
Arcanine-Hisui
Arcanine-Hisui778 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.0%
Rillaboom
Rillaboom761 recorded pair observations · 0.23 pair observations per 100 analyzed battles
42.4%
Milotic
Milotic725 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.7%
Raichu
Raichu698 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.7%
Archaludon
Archaludon671 recorded pair observations · 0.20 pair observations per 100 analyzed battles
45.6%
Whimsicott
Whimsicott669 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.1%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom4030 recorded pair observations · 1.22 pair observations per 100 analyzed battles
44.9%
Sneasler
Sneasler3781 recorded pair observations · 1.14 pair observations per 100 analyzed battles
44.6%
Incineroar
Incineroar3536 recorded pair observations · 1.07 pair observations per 100 analyzed battles
45.7%
Garchomp
Garchomp3306 recorded pair observations · 1.00 pair observations per 100 analyzed battles
44.4%
Indeedee-F
Indeedee-F2555 recorded pair observations · 0.77 pair observations per 100 analyzed battles
47.1%
Archaludon
Archaludon2274 recorded pair observations · 0.69 pair observations per 100 analyzed battles
44.1%
Raichu
Raichu2193 recorded pair observations · 0.66 pair observations per 100 analyzed battles
46.1%
Farigiraf
Farigiraf2143 recorded pair observations · 0.65 pair observations per 100 analyzed battles
44.1%
Kingambit
Kingambit2134 recorded pair observations · 0.64 pair observations per 100 analyzed battles
43.2%
Pelipper
Pelipper2043 recorded pair observations · 0.62 pair observations per 100 analyzed battles
45.5%
Charizard
Charizard2036 recorded pair observations · 0.62 pair observations per 100 analyzed battles
45.7%
Golisopod
Golisopod1814 recorded pair observations · 0.55 pair observations per 100 analyzed battles
41.7%
Gholdengo
Gholdengo1805 recorded pair observations · 0.55 pair observations per 100 analyzed battles
49.2%
Whimsicott
Whimsicott1493 recorded pair observations · 0.45 pair observations per 100 analyzed battles
46.3%
Salamence
Salamence1443 recorded pair observations · 0.44 pair observations per 100 analyzed battles
43.5%
Basculegion
Basculegion1373 recorded pair observations · 0.41 pair observations per 100 analyzed battles
44.9%
Volcarona
Volcarona1281 recorded pair observations · 0.39 pair observations per 100 analyzed battles
47.7%
Sinistcha
Sinistcha1280 recorded pair observations · 0.39 pair observations per 100 analyzed battles
51.6%
Tyranitar
Tyranitar1236 recorded pair observations · 0.37 pair observations per 100 analyzed battles
43.9%
Milotic
Milotic1169 recorded pair observations · 0.35 pair observations per 100 analyzed battles
45.8%

Higher Win-rate Partners

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

Staraptor
Staraptor428 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.2%
Armarouge
Armarouge487 recorded pair observations · 0.15 pair observations per 100 analyzed battles
50.1%
Milotic
Milotic725 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.7%
Indeedee
Indeedee615 recorded pair observations · 0.19 pair observations per 100 analyzed battles
49.1%
Volcarona
Volcarona638 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.9%
Grimmsnarl
Grimmsnarl330 recorded pair observations · 0.10 pair observations per 100 analyzed battles
48.5%
Gholdengo
Gholdengo1017 recorded pair observations · 0.31 pair observations per 100 analyzed battles
48.4%
Tyranitar
Tyranitar5352 recorded pair observations · 1.62 pair observations per 100 analyzed battles
48.3%
Excadrill
Excadrill4868 recorded pair observations · 1.47 pair observations per 100 analyzed battles
48.1%
Golisopod
Golisopod521 recorded pair observations · 0.16 pair observations per 100 analyzed battles
48.0%

Lower Win-rate Partners

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

Pincurchin
Pincurchin370 recorded pair observations · 0.11 pair observations per 100 analyzed battles
41.9%
Whimsicott
Whimsicott669 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.1%
Rillaboom
Rillaboom761 recorded pair observations · 0.23 pair observations per 100 analyzed battles
42.4%
Swampert
Swampert442 recorded pair observations · 0.13 pair observations per 100 analyzed battles
42.8%
Glimmora
Glimmora366 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.4%
Gardevoir
Gardevoir336 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.4%
Heliolisk
Heliolisk799 recorded pair observations · 0.24 pair observations per 100 analyzed battles
44.8%
Basculegion
Basculegion1112 recorded pair observations · 0.34 pair observations per 100 analyzed battles
45.0%
Jolteon
Jolteon507 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.0%
Talonflame
Talonflame531 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.0%

Higher Win-rate Opponent Teams

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

Sableye
Sableye387 recorded pair observations · 0.12 pair observations per 100 analyzed battles
52.2%
Sinistcha
Sinistcha1280 recorded pair observations · 0.39 pair observations per 100 analyzed battles
51.6%
Lucario
Lucario486 recorded pair observations · 0.15 pair observations per 100 analyzed battles
51.0%
Sceptile
Sceptile342 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.0%
Torkoal
Torkoal748 recorded pair observations · 0.23 pair observations per 100 analyzed battles
50.0%
Metagross
Metagross653 recorded pair observations · 0.20 pair observations per 100 analyzed battles
49.5%
Gholdengo
Gholdengo1805 recorded pair observations · 0.55 pair observations per 100 analyzed battles
49.2%
Gardevoir
Gardevoir861 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.3%
Aerodactyl
Aerodactyl404 recorded pair observations · 0.12 pair observations per 100 analyzed battles
48.0%
Dragapult
Dragapult319 recorded pair observations · 0.10 pair observations per 100 analyzed battles
48.0%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F390 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.7%
Hatterene
Hatterene333 recorded pair observations · 0.10 pair observations per 100 analyzed battles
40.5%
Excadrill
Excadrill831 recorded pair observations · 0.25 pair observations per 100 analyzed battles
41.4%
Golisopod
Golisopod1814 recorded pair observations · 0.55 pair observations per 100 analyzed battles
41.7%
Floette-Eternal
Floette-Eternal793 recorded pair observations · 0.24 pair observations per 100 analyzed battles
42.4%
Swampert
Swampert565 recorded pair observations · 0.17 pair observations per 100 analyzed battles
42.6%
Sylveon
Sylveon1001 recorded pair observations · 0.30 pair observations per 100 analyzed battles
42.7%
Delphox
Delphox389 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.9%
Kingambit
Kingambit2134 recorded pair observations · 0.64 pair observations per 100 analyzed battles
43.2%
Salamence
Salamence1443 recorded pair observations · 0.44 pair observations per 100 analyzed battles
43.5%