Last Updated: 11/14/2026 11:03 [UTC]

Sceptile

Tier E

Mega Evolution Battle (Pokemon Champions)

3.05%Usage Rate
41.47%Win Rate
42.94%Lead Rate
63.56%Selection Rate
1080Avg Rating

815 recorded team appearances · 338 wins · 477 losses · 11/02/2026–11/14/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Dragon Pulse Recorded use in 122 of 815 distinct recorded team appearances (15.0%) 54 winning team uses of 122 recorded team uses
44.3%
Energy Ball Recorded use in 121 of 815 distinct recorded team appearances (14.8%) 45 winning team uses of 121 recorded team uses
37.2%
Earth Power Recorded use in 109 of 815 distinct recorded team appearances (13.4%) 43 winning team uses of 109 recorded team uses
39.4%
Protect Recorded use in 94 of 815 distinct recorded team appearances (11.5%) 35 winning team uses of 94 recorded team uses
37.2%
Shed Tail Recorded use in 77 of 815 distinct recorded team appearances (9.4%) 42 winning team uses of 77 recorded team uses
54.5%
Leaf Storm Recorded use in 76 of 815 distinct recorded team appearances (9.3%) 39 winning team uses of 76 recorded team uses
51.3%
Detect Recorded use in 67 of 815 distinct recorded team appearances (8.2%) 28 winning team uses of 67 recorded team uses
41.8%
Quick Guard Recorded use in 21 of 815 distinct recorded team appearances (2.6%) 11 winning team uses of 21 recorded team uses
52.4%
Leaf Blade Recorded use in 18 of 815 distinct recorded team appearances (2.2%) 9 winning team uses of 18 recorded team uses
50.0%
Dragon Cheer Recorded use in 13 of 815 distinct recorded team appearances (1.6%) 4 winning team uses of 13 recorded team uses
30.8%

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: 2026/11/02 05:31–2026/11/06 09:20 UTC 3.00 45.00 6672 200 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 3.31 42.08 6672 221 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 3.01 38.31 6672 201 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 2.89 40.41 6670 193 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 3.92 41.29 5124 201 Observed
~R1079 3.43 46.56 5508 189 Observed
~R1108 3.20 41.18 5318 170 Observed
~R1148 3.06 39.13 5268 161 Observed
R1148~ 1.72 36.17 5468 94 Observed

Sceptile Observed Statistics

Performance Metrics

Sceptile has a reported usage rate of 3.05% and win rate of 41.47% in Mega Evolution Battle (Pokemon Champions) (displayed tier: E). The report covers 11/02/2026 to 11/14/2026 (UTC), with 13,343 recorded battles. 338 wins and 477 losses (815 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 3.00% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 2.89% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=6,670 team slots), a change of -0.11 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 45.00% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=200 recorded appearances) and 40.41% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=193 recorded appearances), a change of -4.59 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 1.72% (R1148~; n=5,468 team slots) to 3.92% (~R1054; n=5,124 team slots), a spread of 2.20 percentage points. Overall usage was 3.05%. 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, Dragon Pulse has the largest recorded team-use count (122; 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: Clefable: 40.2% wins in 331 recorded pair observations; Raichu: 40.6% wins in 330 recorded pair observations; Tyranitar: 45.8% wins in 286 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: Alakazam: 68.0% wins in 25 recorded pair observations; Eelektross: 60.0% wins in 20 recorded pair observations; Absol: 57.9% wins in 19 recorded pair observations. Returned lower-win-rate opponent group: Mawile: 21.2% wins in 33 recorded pair observations; Audino: 23.5% wins in 17 recorded pair observations; Malamar: 26.7% wins in 30 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%

Clefable
Clefable331 recorded pair observations · 2.48 pair observations per 100 analyzed battles
40.2%
Raichu
Raichu330 recorded pair observations · 2.47 pair observations per 100 analyzed battles
40.6%
Tyranitar
Tyranitar286 recorded pair observations · 2.14 pair observations per 100 analyzed battles
45.8%
Excadrill
Excadrill253 recorded pair observations · 1.90 pair observations per 100 analyzed battles
47.8%
Sableye
Sableye210 recorded pair observations · 1.57 pair observations per 100 analyzed battles
42.4%
Garchomp
Garchomp171 recorded pair observations · 1.28 pair observations per 100 analyzed battles
42.7%
Manectric
Manectric170 recorded pair observations · 1.27 pair observations per 100 analyzed battles
40.0%
Meowstic
Meowstic163 recorded pair observations · 1.22 pair observations per 100 analyzed battles
52.8%
Gyarados
Gyarados109 recorded pair observations · 0.82 pair observations per 100 analyzed battles
50.5%
Staraptor
Staraptor109 recorded pair observations · 0.82 pair observations per 100 analyzed battles
49.5%
Blaziken
Blaziken106 recorded pair observations · 0.79 pair observations per 100 analyzed battles
34.9%
Blastoise
Blastoise99 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.5%
Swampert
Swampert85 recorded pair observations · 0.64 pair observations per 100 analyzed battles
37.6%
Scrafty
Scrafty84 recorded pair observations · 0.63 pair observations per 100 analyzed battles
45.2%
Aerodactyl
Aerodactyl79 recorded pair observations · 0.59 pair observations per 100 analyzed battles
41.8%
Glimmora
Glimmora75 recorded pair observations · 0.56 pair observations per 100 analyzed battles
30.7%
Chandelure
Chandelure68 recorded pair observations · 0.51 pair observations per 100 analyzed battles
32.4%
Metagross
Metagross68 recorded pair observations · 0.51 pair observations per 100 analyzed battles
38.2%
Gardevoir
Gardevoir66 recorded pair observations · 0.49 pair observations per 100 analyzed battles
33.3%
Charizard
Charizard64 recorded pair observations · 0.48 pair observations per 100 analyzed battles
35.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp381 recorded pair observations · 2.86 pair observations per 100 analyzed battles
39.6%
Clefable
Clefable302 recorded pair observations · 2.26 pair observations per 100 analyzed battles
43.0%
Sableye
Sableye241 recorded pair observations · 1.81 pair observations per 100 analyzed battles
44.0%
Tyranitar
Tyranitar209 recorded pair observations · 1.57 pair observations per 100 analyzed battles
41.1%
Scrafty
Scrafty208 recorded pair observations · 1.56 pair observations per 100 analyzed battles
39.4%
Excadrill
Excadrill186 recorded pair observations · 1.39 pair observations per 100 analyzed battles
40.9%
Charizard
Charizard159 recorded pair observations · 1.19 pair observations per 100 analyzed battles
41.5%
Venusaur
Venusaur159 recorded pair observations · 1.19 pair observations per 100 analyzed battles
40.9%
Raichu
Raichu153 recorded pair observations · 1.15 pair observations per 100 analyzed battles
45.1%
Aerodactyl
Aerodactyl148 recorded pair observations · 1.11 pair observations per 100 analyzed battles
41.2%
Meowstic
Meowstic140 recorded pair observations · 1.05 pair observations per 100 analyzed battles
42.9%
Staraptor
Staraptor135 recorded pair observations · 1.01 pair observations per 100 analyzed battles
44.4%
Kangaskhan
Kangaskhan134 recorded pair observations · 1.00 pair observations per 100 analyzed battles
35.1%
Floette-Eternal
Floette-Eternal120 recorded pair observations · 0.90 pair observations per 100 analyzed battles
35.0%
Gardevoir
Gardevoir110 recorded pair observations · 0.82 pair observations per 100 analyzed battles
42.7%
Salamence
Salamence107 recorded pair observations · 0.80 pair observations per 100 analyzed battles
35.5%
Blastoise
Blastoise104 recorded pair observations · 0.78 pair observations per 100 analyzed battles
40.4%
Gyarados
Gyarados104 recorded pair observations · 0.78 pair observations per 100 analyzed battles
38.5%
Glimmora
Glimmora100 recorded pair observations · 0.75 pair observations per 100 analyzed battles
41.0%
Gengar
Gengar98 recorded pair observations · 0.73 pair observations per 100 analyzed battles
43.9%

Higher Win-rate Partners

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

Camerupt
Camerupt16 recorded pair observations · 0.12 pair observations per 100 analyzed battles
62.5%
Baxcalibur
Baxcalibur39 recorded pair observations · 0.29 pair observations per 100 analyzed battles
56.4%
Alakazam
Alakazam45 recorded pair observations · 0.34 pair observations per 100 analyzed battles
53.3%
Meowstic
Meowstic163 recorded pair observations · 1.22 pair observations per 100 analyzed battles
52.8%
Medicham
Medicham21 recorded pair observations · 0.16 pair observations per 100 analyzed battles
52.4%
Gyarados
Gyarados109 recorded pair observations · 0.82 pair observations per 100 analyzed battles
50.5%
Meowstic-F
Meowstic-F16 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.0%
Staraptor
Staraptor109 recorded pair observations · 0.82 pair observations per 100 analyzed battles
49.5%
Blastoise
Blastoise99 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.5%
Drampa
Drampa31 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.4%

Lower Win-rate Partners

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

Greninja
Greninja35 recorded pair observations · 0.26 pair observations per 100 analyzed battles
20.0%
Lucario
Lucario46 recorded pair observations · 0.34 pair observations per 100 analyzed battles
23.9%
Gengar
Gengar48 recorded pair observations · 0.36 pair observations per 100 analyzed battles
29.2%
Dragonite
Dragonite63 recorded pair observations · 0.47 pair observations per 100 analyzed battles
30.2%
Glimmora
Glimmora75 recorded pair observations · 0.56 pair observations per 100 analyzed battles
30.7%
Chandelure
Chandelure68 recorded pair observations · 0.51 pair observations per 100 analyzed battles
32.4%
Golisopod
Golisopod37 recorded pair observations · 0.28 pair observations per 100 analyzed battles
32.4%
Altaria
Altaria46 recorded pair observations · 0.34 pair observations per 100 analyzed battles
32.6%
Eelektross
Eelektross18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
33.3%
Froslass
Froslass36 recorded pair observations · 0.27 pair observations per 100 analyzed battles
33.3%

Higher Win-rate Opponent Teams

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

Alakazam
Alakazam25 recorded pair observations · 0.19 pair observations per 100 analyzed battles
68.0%
Eelektross
Eelektross20 recorded pair observations · 0.15 pair observations per 100 analyzed battles
60.0%
Absol
Absol19 recorded pair observations · 0.14 pair observations per 100 analyzed battles
57.9%
Lucario
Lucario28 recorded pair observations · 0.21 pair observations per 100 analyzed battles
57.1%
Meganium
Meganium25 recorded pair observations · 0.19 pair observations per 100 analyzed battles
56.0%
Abomasnow
Abomasnow15 recorded pair observations · 0.11 pair observations per 100 analyzed battles
53.3%
Greninja
Greninja38 recorded pair observations · 0.28 pair observations per 100 analyzed battles
52.6%
Sceptile
Sceptile16 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.0%
Metagross
Metagross82 recorded pair observations · 0.61 pair observations per 100 analyzed battles
48.8%
Altaria
Altaria66 recorded pair observations · 0.49 pair observations per 100 analyzed battles
48.5%

Lower Win-rate Opponent Teams

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

Mawile
Mawile33 recorded pair observations · 0.25 pair observations per 100 analyzed battles
21.2%
Audino
Audino17 recorded pair observations · 0.13 pair observations per 100 analyzed battles
23.5%
Malamar
Malamar30 recorded pair observations · 0.22 pair observations per 100 analyzed battles
26.7%
Steelix
Steelix15 recorded pair observations · 0.11 pair observations per 100 analyzed battles
26.7%
Feraligatr
Feraligatr21 recorded pair observations · 0.16 pair observations per 100 analyzed battles
28.6%
Gallade
Gallade45 recorded pair observations · 0.34 pair observations per 100 analyzed battles
31.1%
Meowstic-F
Meowstic-F30 recorded pair observations · 0.22 pair observations per 100 analyzed battles
33.3%
Floette-Eternal
Floette-Eternal120 recorded pair observations · 0.90 pair observations per 100 analyzed battles
35.0%
Kangaskhan
Kangaskhan134 recorded pair observations · 1.00 pair observations per 100 analyzed battles
35.1%
Salamence
Salamence107 recorded pair observations · 0.80 pair observations per 100 analyzed battles
35.5%