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

Scolipede

Tier E

BSS Regulation M-C (Pokemon Champions)

4.70%Usage Rate
45.33%Win Rate
29.46%Lead Rate
48.09%Selection Rate
1179Avg Rating

2356 recorded team appearances · 1068 wins · 1288 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Baton Pass Recorded use in 718 of 2356 distinct recorded team appearances (30.5%) 359 winning team uses of 718 recorded team uses
50.0%
Protect Recorded use in 681 of 2356 distinct recorded team appearances (28.9%) 263 winning team uses of 681 recorded team uses
38.6%
Iron Defense Recorded use in 679 of 2356 distinct recorded team appearances (28.8%) 328 winning team uses of 679 recorded team uses
48.3%
Substitute Recorded use in 461 of 2356 distinct recorded team appearances (19.6%) 213 winning team uses of 461 recorded team uses
46.2%
Swords Dance Recorded use in 83 of 2356 distinct recorded team appearances (3.5%) 39 winning team uses of 83 recorded team uses
47.0%
Earthquake Recorded use in 35 of 2356 distinct recorded team appearances (1.5%) 14 winning team uses of 35 recorded team uses
40.0%
Leech Life Recorded use in 34 of 2356 distinct recorded team appearances (1.4%) 17 winning team uses of 34 recorded team uses
50.0%
Toxic Spikes Recorded use in 34 of 2356 distinct recorded team appearances (1.4%) 8 winning team uses of 34 recorded team uses
23.5%
Poison Jab Recorded use in 19 of 2356 distinct recorded team appearances (0.8%) 8 winning team uses of 19 recorded team uses
42.1%
Spikes Recorded use in 13 of 2356 distinct recorded team appearances (0.6%) 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: 2026/10/12 11:01–2026/10/15 12:54 UTC 4.91 41.40 12542 616 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 6.94 46.09 12542 870 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 5.59 47.93 12542 701 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 1.35 44.97 12540 169 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 4.56 48.35 9968 455 Observed
~R1142 5.15 42.11 9958 513 Observed
~R1208 4.91 45.56 10104 496 Observed
~R1298 4.95 46.26 10004 495 Observed
R1298~ 3.92 44.58 10132 397 Observed

Scolipede Observed Statistics

Performance Metrics

Scolipede has a reported usage rate of 4.70% and win rate of 45.33% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,068 wins and 1,288 losses (2,356 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 4.91% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 1.35% 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 -3.56 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 41.40% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=616 recorded appearances) and 44.97% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=169 recorded appearances), a change of +3.57 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.

Rating-band Observations

Across 5 available rating bands, usage ranged from 3.92% (R1298~; n=10,132 team slots) to 5.15% (~R1142; n=9,958 team slots), a spread of 1.23 percentage points. Overall usage was 4.70%. 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, Baton Pass has the largest recorded team-use count (718; 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: Gholdengo: 44.7% wins in 1,629 recorded pair observations; Skeledirge: 44.8% wins in 1,573 recorded pair observations; Floette-Eternal: 44.4% wins in 1,498 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: Barbaracle: 69.0% wins in 171 recorded pair observations; Kangaskhan: 66.7% wins in 36 recorded pair observations; Clefable: 63.2% wins in 242 recorded pair observations. Returned lower-win-rate opponent group: Gliscor: 18.3% wins in 93 recorded pair observations; Arcanine-Hisui: 23.9% wins in 46 recorded pair observations; Starmie: 27.2% wins in 195 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%

Gholdengo
Gholdengo1629 recorded pair observations · 6.49 pair observations per 100 analyzed battles
44.7%
Skeledirge
Skeledirge1573 recorded pair observations · 6.27 pair observations per 100 analyzed battles
44.8%
Floette-Eternal
Floette-Eternal1498 recorded pair observations · 5.97 pair observations per 100 analyzed battles
44.4%
Salamence
Salamence1498 recorded pair observations · 5.97 pair observations per 100 analyzed battles
44.3%
Umbreon
Umbreon1484 recorded pair observations · 5.92 pair observations per 100 analyzed battles
44.4%
Clefable
Clefable330 recorded pair observations · 1.32 pair observations per 100 analyzed battles
51.8%
Hatterene
Hatterene233 recorded pair observations · 0.93 pair observations per 100 analyzed battles
56.2%
Espathra
Espathra188 recorded pair observations · 0.75 pair observations per 100 analyzed battles
41.0%
Malamar
Malamar156 recorded pair observations · 0.62 pair observations per 100 analyzed battles
51.3%
Corviknight
Corviknight153 recorded pair observations · 0.61 pair observations per 100 analyzed battles
60.1%
Gengar
Gengar147 recorded pair observations · 0.59 pair observations per 100 analyzed battles
59.2%
Polteageist
Polteageist143 recorded pair observations · 0.57 pair observations per 100 analyzed battles
59.4%
Vaporeon
Vaporeon143 recorded pair observations · 0.57 pair observations per 100 analyzed battles
60.8%
Dragapult
Dragapult120 recorded pair observations · 0.48 pair observations per 100 analyzed battles
48.3%
Garchomp
Garchomp119 recorded pair observations · 0.47 pair observations per 100 analyzed battles
42.9%
Charizard
Charizard114 recorded pair observations · 0.45 pair observations per 100 analyzed battles
50.0%
Archaludon
Archaludon98 recorded pair observations · 0.39 pair observations per 100 analyzed battles
30.6%
Slowbro
Slowbro83 recorded pair observations · 0.33 pair observations per 100 analyzed battles
61.5%
Blaziken
Blaziken80 recorded pair observations · 0.32 pair observations per 100 analyzed battles
33.8%
Rotom-Wash
Rotom-Wash77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
61.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp763 recorded pair observations · 3.04 pair observations per 100 analyzed battles
45.6%
Primarina
Primarina548 recorded pair observations · 2.18 pair observations per 100 analyzed battles
40.7%
Archaludon
Archaludon491 recorded pair observations · 1.96 pair observations per 100 analyzed battles
35.4%
Hippowdon
Hippowdon483 recorded pair observations · 1.93 pair observations per 100 analyzed battles
52.4%
Mimikyu
Mimikyu393 recorded pair observations · 1.57 pair observations per 100 analyzed battles
36.9%
Golisopod
Golisopod386 recorded pair observations · 1.54 pair observations per 100 analyzed battles
41.2%
Salamence
Salamence384 recorded pair observations · 1.53 pair observations per 100 analyzed battles
43.5%
Corviknight
Corviknight383 recorded pair observations · 1.53 pair observations per 100 analyzed battles
43.1%
Gholdengo
Gholdengo341 recorded pair observations · 1.36 pair observations per 100 analyzed battles
40.5%
Kingambit
Kingambit324 recorded pair observations · 1.29 pair observations per 100 analyzed battles
63.0%
Basculegion
Basculegion311 recorded pair observations · 1.24 pair observations per 100 analyzed battles
41.8%
Scizor
Scizor268 recorded pair observations · 1.07 pair observations per 100 analyzed battles
60.5%
Charizard
Charizard266 recorded pair observations · 1.06 pair observations per 100 analyzed battles
50.8%
Lucario
Lucario260 recorded pair observations · 1.04 pair observations per 100 analyzed battles
43.9%
Gyarados
Gyarados259 recorded pair observations · 1.03 pair observations per 100 analyzed battles
62.9%
Baxcalibur
Baxcalibur258 recorded pair observations · 1.03 pair observations per 100 analyzed battles
45.4%
Clefable
Clefable242 recorded pair observations · 0.96 pair observations per 100 analyzed battles
63.2%
Meowscarada
Meowscarada241 recorded pair observations · 0.96 pair observations per 100 analyzed battles
44.4%
Metagross
Metagross215 recorded pair observations · 0.86 pair observations per 100 analyzed battles
41.4%
Rillaboom
Rillaboom206 recorded pair observations · 0.82 pair observations per 100 analyzed battles
44.2%

Higher Win-rate Partners

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

Farigiraf
Farigiraf34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
76.5%
Indeedee-F
Indeedee-F44 recorded pair observations · 0.18 pair observations per 100 analyzed battles
63.6%
Slowbro
Slowbro83 recorded pair observations · 0.33 pair observations per 100 analyzed battles
61.5%
Rotom-Wash
Rotom-Wash77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
61.0%
Vaporeon
Vaporeon143 recorded pair observations · 0.57 pair observations per 100 analyzed battles
60.8%
Corviknight
Corviknight153 recorded pair observations · 0.61 pair observations per 100 analyzed battles
60.1%
Pangoro
Pangoro65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
60.0%
Polteageist
Polteageist143 recorded pair observations · 0.57 pair observations per 100 analyzed battles
59.4%
Gengar
Gengar147 recorded pair observations · 0.59 pair observations per 100 analyzed battles
59.2%
Bellibolt
Bellibolt29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
58.6%

Lower Win-rate Partners

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

Scizor
Scizor38 recorded pair observations · 0.15 pair observations per 100 analyzed battles
21.1%
Skarmory
Skarmory37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
21.6%
Dragonite
Dragonite69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
27.5%
Lucario
Lucario58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
27.6%
Grimmsnarl
Grimmsnarl54 recorded pair observations · 0.22 pair observations per 100 analyzed battles
27.8%
Noivern
Noivern25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
28.0%
Toxtricity-Low-Key
Toxtricity-Low-Key28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
28.6%
Sableye
Sableye54 recorded pair observations · 0.22 pair observations per 100 analyzed battles
29.6%
Archaludon
Archaludon98 recorded pair observations · 0.39 pair observations per 100 analyzed battles
30.6%
Hippowdon
Hippowdon35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
31.4%

Higher Win-rate Opponent Teams

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

Barbaracle
Barbaracle171 recorded pair observations · 0.68 pair observations per 100 analyzed battles
69.0%
Kangaskhan
Kangaskhan36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
66.7%
Clefable
Clefable242 recorded pair observations · 0.96 pair observations per 100 analyzed battles
63.2%
Kingambit
Kingambit324 recorded pair observations · 1.29 pair observations per 100 analyzed battles
63.0%
Gyarados
Gyarados259 recorded pair observations · 1.03 pair observations per 100 analyzed battles
62.9%
Indeedee-F
Indeedee-F32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
62.5%
Gardevoir
Gardevoir29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
62.1%
Scizor
Scizor268 recorded pair observations · 1.07 pair observations per 100 analyzed battles
60.5%
Hatterene
Hatterene68 recorded pair observations · 0.27 pair observations per 100 analyzed battles
60.3%
Incineroar
Incineroar57 recorded pair observations · 0.23 pair observations per 100 analyzed battles
59.6%

Lower Win-rate Opponent Teams

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

Gliscor
Gliscor93 recorded pair observations · 0.37 pair observations per 100 analyzed battles
18.3%
Arcanine-Hisui
Arcanine-Hisui46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
23.9%
Starmie
Starmie195 recorded pair observations · 0.78 pair observations per 100 analyzed battles
27.2%
Banette
Banette55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
30.9%
Toxapex
Toxapex191 recorded pair observations · 0.76 pair observations per 100 analyzed battles
30.9%
Zoroark-Hisui
Zoroark-Hisui47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
31.9%
Delphox
Delphox147 recorded pair observations · 0.59 pair observations per 100 analyzed battles
32.0%
Kleavor
Kleavor40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
32.5%
Bellibolt
Bellibolt51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
33.3%
Whimsicott
Whimsicott51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
33.3%