Last Updated: 10/19/2026 11:04 [UTC]

Serperior

Tier E

BSS Regulation M-C (Pokemon Champions)

1.04%Usage Rate
49.91%Win Rate
23.44%Lead Rate
34.40%Selection Rate
1158Avg Rating

529 recorded team appearances · 264 wins · 265 losses · 10/05/2026–10/19/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Leaf Storm Recorded use in 113 of 529 distinct recorded team appearances (21.4%) 61 winning team uses of 113 recorded team uses
54.0%
Glare Recorded use in 80 of 529 distinct recorded team appearances (15.1%) 40 winning team uses of 80 recorded team uses
50.0%
Dragon Pulse Recorded use in 47 of 529 distinct recorded team appearances (8.9%) 23 winning team uses of 47 recorded team uses
48.9%
Giga Drain Recorded use in 25 of 529 distinct recorded team appearances (4.7%) 20 winning team uses of 25 recorded team uses
80.0%
Leech Seed Recorded use in 12 of 529 distinct recorded team appearances (2.3%) 7 winning team uses of 12 recorded team uses
58.3%

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: 2026/10/05 11:01–2026/10/10 12:13 UTC 1.18 52.32 12744 151 Observed
Period 2: 2026/10/10 12:14–2026/10/13 08:24 UTC 0.87 49.55 12744 111 Observed
Period 3: 2026/10/13 08:24–2026/10/16 12:38 UTC 1.41 53.33 12744 180 Observed
Period 4: 2026/10/16 12:38–2026/10/19 10:58 UTC 0.68 39.08 12742 87 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1088 1.39 51.43 10084 140 Observed
~R1140 1.20 47.54 10188 122 Observed
~R1202 1.18 50.83 10160 120 Observed
~R1284 0.89 41.76 10192 91 Observed
R1284~ 0.54 62.50 10350 56 Observed

Serperior Observed Statistics

Performance Metrics

Serperior has a reported usage rate of 1.04% and win rate of 49.91% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/05/2026 to 10/19/2026 (UTC), with 25,487 recorded battles. 264 wins and 265 losses (529 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 1.18% in the first available period (Period 1: 2026/10/05 11:01–2026/10/10 12:13 UTC; n=12,744 team slots) and 0.68% in the last available period (Period 4: 2026/10/16 12:38–2026/10/19 10:58 UTC; n=12,742 team slots), a change of -0.50 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 52.32% in the first available period (Period 1: 2026/10/05 11:01–2026/10/10 12:13 UTC; n=151 recorded appearances) and 39.08% in the last available period (Period 4: 2026/10/16 12:38–2026/10/19 10:58 UTC; n=87 recorded appearances), a change of -13.24 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 0.54% (R1284~; n=10,350 team slots) to 1.39% (~R1088; n=10,084 team slots), a spread of 0.85 percentage points. Overall usage was 1.04%. 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, Leaf Storm has the largest recorded team-use count (113; 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: Kingambit: 56.2% wins in 235 recorded pair observations; Lucario: 54.2% wins in 179 recorded pair observations; Chandelure: 54.1% wins in 157 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: Pelipper: 65.5% wins in 29 recorded pair observations; Scizor: 64.9% wins in 37 recorded pair observations; Starmie: 60.4% wins in 48 recorded pair observations. Returned lower-win-rate opponent group: Metagross: 29.5% wins in 61 recorded pair observations; Hydreigon: 36.0% wins in 25 recorded pair observations; Umbreon: 37.1% wins in 35 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%

Kingambit
Kingambit235 recorded pair observations · 0.92 pair observations per 100 analyzed battles
56.2%
Lucario
Lucario179 recorded pair observations · 0.70 pair observations per 100 analyzed battles
54.2%
Chandelure
Chandelure157 recorded pair observations · 0.62 pair observations per 100 analyzed battles
54.1%
Garchomp
Garchomp150 recorded pair observations · 0.59 pair observations per 100 analyzed battles
50.7%
Toucannon
Toucannon147 recorded pair observations · 0.58 pair observations per 100 analyzed battles
55.1%
Froslass
Froslass141 recorded pair observations · 0.55 pair observations per 100 analyzed battles
53.9%
Baxcalibur
Baxcalibur74 recorded pair observations · 0.29 pair observations per 100 analyzed battles
52.7%
Volcarona
Volcarona66 recorded pair observations · 0.26 pair observations per 100 analyzed battles
62.1%
Basculegion
Basculegion65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
67.7%
Hippowdon
Hippowdon63 recorded pair observations · 0.25 pair observations per 100 analyzed battles
65.1%
Salamence
Salamence62 recorded pair observations · 0.24 pair observations per 100 analyzed battles
64.5%
Scizor
Scizor46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
50.0%
Charizard
Charizard45 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.9%
Absol
Absol44 recorded pair observations · 0.17 pair observations per 100 analyzed battles
59.1%
Ninetales-Alola
Ninetales-Alola42 recorded pair observations · 0.16 pair observations per 100 analyzed battles
52.4%
Primarina
Primarina42 recorded pair observations · 0.16 pair observations per 100 analyzed battles
54.8%
Dragapult
Dragapult41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
41.5%
Dragonite
Dragonite41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
51.2%
Golisopod
Golisopod39 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.1%
Blaziken
Blaziken36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp195 recorded pair observations · 0.77 pair observations per 100 analyzed battles
44.6%
Archaludon
Archaludon121 recorded pair observations · 0.47 pair observations per 100 analyzed battles
55.4%
Primarina
Primarina117 recorded pair observations · 0.46 pair observations per 100 analyzed battles
42.7%
Mimikyu
Mimikyu111 recorded pair observations · 0.44 pair observations per 100 analyzed battles
51.4%
Gholdengo
Gholdengo99 recorded pair observations · 0.39 pair observations per 100 analyzed battles
45.5%
Salamence
Salamence97 recorded pair observations · 0.38 pair observations per 100 analyzed battles
54.6%
Baxcalibur
Baxcalibur92 recorded pair observations · 0.36 pair observations per 100 analyzed battles
44.6%
Golisopod
Golisopod88 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.9%
Corviknight
Corviknight84 recorded pair observations · 0.33 pair observations per 100 analyzed battles
42.9%
Charizard
Charizard80 recorded pair observations · 0.31 pair observations per 100 analyzed battles
51.2%
Basculegion
Basculegion71 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.5%
Hippowdon
Hippowdon67 recorded pair observations · 0.26 pair observations per 100 analyzed battles
46.3%
Metagross
Metagross61 recorded pair observations · 0.24 pair observations per 100 analyzed battles
29.5%
Toxapex
Toxapex54 recorded pair observations · 0.21 pair observations per 100 analyzed battles
51.9%
Rillaboom
Rillaboom53 recorded pair observations · 0.21 pair observations per 100 analyzed battles
52.8%
Delphox
Delphox52 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.8%
Kingambit
Kingambit49 recorded pair observations · 0.19 pair observations per 100 analyzed battles
49.0%
Starmie
Starmie48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
60.4%
Lucario
Lucario41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
58.5%
Dragonite
Dragonite39 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.7%

Higher Win-rate Partners

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

Basculegion
Basculegion65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
67.7%
Hippowdon
Hippowdon63 recorded pair observations · 0.25 pair observations per 100 analyzed battles
65.1%
Salamence
Salamence62 recorded pair observations · 0.24 pair observations per 100 analyzed battles
64.5%
Volcarona
Volcarona66 recorded pair observations · 0.26 pair observations per 100 analyzed battles
62.1%
Toxapex
Toxapex35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
60.0%
Absol
Absol44 recorded pair observations · 0.17 pair observations per 100 analyzed battles
59.1%
Pawmot
Pawmot36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
58.3%
Kingambit
Kingambit235 recorded pair observations · 0.92 pair observations per 100 analyzed battles
56.2%
Toucannon
Toucannon147 recorded pair observations · 0.58 pair observations per 100 analyzed battles
55.1%
Primarina
Primarina42 recorded pair observations · 0.16 pair observations per 100 analyzed battles
54.8%

Lower Win-rate Partners

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

Raichu
Raichu25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
24.0%
Dragapult
Dragapult41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
41.5%
Krookodile
Krookodile31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.9%
Tyrantrum
Tyrantrum30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.3%
Feraligatr
Feraligatr27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.4%
Golisopod
Golisopod39 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.1%
Blaziken
Blaziken36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.2%
Charizard
Charizard45 recorded pair observations · 0.18 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%

Pelipper
Pelipper29 recorded pair observations · 0.11 pair observations per 100 analyzed battles
65.5%
Scizor
Scizor37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
64.9%
Starmie
Starmie48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
60.4%
Floette-Eternal
Floette-Eternal32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
59.4%
Sneasler
Sneasler29 recorded pair observations · 0.11 pair observations per 100 analyzed battles
58.6%
Lucario
Lucario41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
58.5%
Gliscor
Gliscor31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
58.1%
Raichu
Raichu31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
58.1%
Delphox
Delphox52 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.8%
Blaziken
Blaziken36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
55.6%

Lower Win-rate Opponent Teams

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

Metagross
Metagross61 recorded pair observations · 0.24 pair observations per 100 analyzed battles
29.5%
Hydreigon
Hydreigon25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
36.0%
Umbreon
Umbreon35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
37.1%
Clefable
Clefable32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
40.6%
Primarina
Primarina117 recorded pair observations · 0.46 pair observations per 100 analyzed battles
42.7%
Corviknight
Corviknight84 recorded pair observations · 0.33 pair observations per 100 analyzed battles
42.9%
Gengar
Gengar35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.9%
Meowscarada
Meowscarada32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.8%
Cinderace
Cinderace25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.0%
Aegislash
Aegislash36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.4%