Last Updated: 10/10/2026 14:11 [UTC]

Serperior

Tier E

OU (Over Used)

2.53%Usage Rate
47.15%Win Rate
19.46%Lead Rate
1211Avg Rating

7568 recorded team appearances · 3568 wins · 4000 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Leaf Storm Recorded use in 3889 of 7568 distinct recorded team appearances (51.4%) 1850 winning team uses of 3889 recorded team uses
47.6%
Glare Recorded use in 1680 of 7568 distinct recorded team appearances (22.2%) 809 winning team uses of 1680 recorded team uses
48.2%
Substitute Recorded use in 1175 of 7568 distinct recorded team appearances (15.5%) 576 winning team uses of 1175 recorded team uses
49.0%
Leech Seed Recorded use in 913 of 7568 distinct recorded team appearances (12.1%) 417 winning team uses of 913 recorded team uses
45.7%
Dragon Pulse Recorded use in 636 of 7568 distinct recorded team appearances (8.4%) 324 winning team uses of 636 recorded team uses
50.9%
Giga Drain Recorded use in 339 of 7568 distinct recorded team appearances (4.5%) 190 winning team uses of 339 recorded team uses
56.0%
Protect Recorded use in 298 of 7568 distinct recorded team appearances (3.9%) 112 winning team uses of 298 recorded team uses
37.6%
Knock Off Recorded use in 215 of 7568 distinct recorded team appearances (2.8%) 103 winning team uses of 215 recorded team uses
47.9%
Synthesis Recorded use in 192 of 7568 distinct recorded team appearances (2.5%) 106 winning team uses of 192 recorded team uses
55.2%
Dragon Tail Recorded use in 68 of 7568 distinct recorded team appearances (0.9%) 29 winning team uses of 68 recorded team uses
42.6%

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: 2026/09/26 23:07–2026/09/30 15:45 JST 2.22 47.16 74642 1656 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.69 47.21 74642 2006 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 2.68 48.65 74640 2002 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.55 45.48 74640 1904 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 3.21 47.75 60200 1935 Observed
~R1156 3.41 46.15 59416 2024 Observed
~R1268 2.28 44.98 59484 1354 Observed
~R1398 1.60 47.66 59960 961 Observed
R1398~ 2.17 49.69 59504 1294 Observed

Serperior Observed Statistics

Performance Metrics

Serperior has a reported usage rate of 2.53% and win rate of 47.15% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 3,568 wins and 4,000 losses (7,568 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 2.22% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.55% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=74,640 team slots), a change of +0.33 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 47.16% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=1,656 recorded appearances) and 45.48% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,904 recorded appearances), a change of -1.68 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 1.60% (~R1398; n=59,960 team slots) to 3.41% (~R1156; n=59,416 team slots), a spread of 1.81 percentage points. Overall usage was 2.53%. 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, Leaf Storm has the largest recorded team-use count (3,889; 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: 51.7% wins in 1,374 recorded pair observations; Gliscor: 44.5% wins in 1,224 recorded pair observations; Cinderace: 51.0% wins in 1,223 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: Maushold: 55.3% wins in 161 recorded pair observations; Gengar: 55.2% wins in 172 recorded pair observations; Ursaluna: 53.0% wins in 200 recorded pair observations. Returned lower-win-rate opponent group: Enamorus: 38.2% wins in 233 recorded pair observations; Skeledirge: 39.0% wins in 146 recorded pair observations; Iron Moth: 39.1% wins in 575 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
Kingambit1374 recorded pair observations · 0.92 pair observations per 100 analyzed battles
51.7%
Gliscor
Gliscor1224 recorded pair observations · 0.82 pair observations per 100 analyzed battles
44.5%
Cinderace
Cinderace1223 recorded pair observations · 0.82 pair observations per 100 analyzed battles
51.0%
Great Tusk
Great Tusk1170 recorded pair observations · 0.78 pair observations per 100 analyzed battles
49.0%
Gholdengo
Gholdengo970 recorded pair observations · 0.65 pair observations per 100 analyzed battles
51.0%
Dragapult
Dragapult948 recorded pair observations · 0.64 pair observations per 100 analyzed battles
46.1%
Zamazenta-*
Zamazenta-*771 recorded pair observations · 0.52 pair observations per 100 analyzed battles
51.0%
Corviknight
Corviknight703 recorded pair observations · 0.47 pair observations per 100 analyzed battles
47.6%
Ceruledge
Ceruledge674 recorded pair observations · 0.45 pair observations per 100 analyzed battles
48.1%
Dragonite
Dragonite631 recorded pair observations · 0.42 pair observations per 100 analyzed battles
50.1%
Hatterene
Hatterene618 recorded pair observations · 0.41 pair observations per 100 analyzed battles
46.4%
Glimmora
Glimmora602 recorded pair observations · 0.40 pair observations per 100 analyzed battles
47.3%
Landorus-Therian
Landorus-Therian561 recorded pair observations · 0.38 pair observations per 100 analyzed battles
54.2%
Rillaboom
Rillaboom558 recorded pair observations · 0.37 pair observations per 100 analyzed battles
49.6%
Garganacl
Garganacl550 recorded pair observations · 0.37 pair observations per 100 analyzed battles
46.4%
Empoleon
Empoleon545 recorded pair observations · 0.37 pair observations per 100 analyzed battles
51.2%
Scizor
Scizor541 recorded pair observations · 0.36 pair observations per 100 analyzed battles
48.1%
Ribombee
Ribombee531 recorded pair observations · 0.36 pair observations per 100 analyzed battles
48.4%
Milotic
Milotic519 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.6%
Zapdos
Zapdos501 recorded pair observations · 0.34 pair observations per 100 analyzed battles
47.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1985 recorded pair observations · 1.33 pair observations per 100 analyzed battles
44.9%
Gholdengo
Gholdengo1563 recorded pair observations · 1.05 pair observations per 100 analyzed battles
44.1%
Kingambit
Kingambit1543 recorded pair observations · 1.03 pair observations per 100 analyzed battles
43.8%
Gliscor
Gliscor1089 recorded pair observations · 0.73 pair observations per 100 analyzed battles
48.7%
Dragapult
Dragapult1062 recorded pair observations · 0.71 pair observations per 100 analyzed battles
46.6%
Dragonite
Dragonite1060 recorded pair observations · 0.71 pair observations per 100 analyzed battles
40.7%
Iron Valiant
Iron Valiant1010 recorded pair observations · 0.68 pair observations per 100 analyzed battles
43.0%
Ogerpon-Wellspring
Ogerpon-Wellspring981 recorded pair observations · 0.66 pair observations per 100 analyzed battles
43.5%
Corviknight
Corviknight963 recorded pair observations · 0.65 pair observations per 100 analyzed battles
48.4%
Zamazenta-*
Zamazenta-*912 recorded pair observations · 0.61 pair observations per 100 analyzed battles
39.9%
Raging Bolt
Raging Bolt871 recorded pair observations · 0.58 pair observations per 100 analyzed battles
44.0%
Cinderace
Cinderace775 recorded pair observations · 0.52 pair observations per 100 analyzed battles
48.0%
Hatterene
Hatterene749 recorded pair observations · 0.50 pair observations per 100 analyzed battles
45.9%
Alomomola
Alomomola748 recorded pair observations · 0.50 pair observations per 100 analyzed battles
44.9%
Slowking-Galar
Slowking-Galar725 recorded pair observations · 0.49 pair observations per 100 analyzed battles
46.1%
Landorus-Therian
Landorus-Therian716 recorded pair observations · 0.48 pair observations per 100 analyzed battles
47.1%
Samurott-Hisui
Samurott-Hisui699 recorded pair observations · 0.47 pair observations per 100 analyzed battles
46.1%
Glimmora
Glimmora680 recorded pair observations · 0.46 pair observations per 100 analyzed battles
42.4%
Ceruledge
Ceruledge662 recorded pair observations · 0.44 pair observations per 100 analyzed battles
43.8%
Darkrai
Darkrai644 recorded pair observations · 0.43 pair observations per 100 analyzed battles
44.1%

Higher Win-rate Partners

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

Smeargle
Smeargle210 recorded pair observations · 0.14 pair observations per 100 analyzed battles
56.7%
Raging Bolt
Raging Bolt313 recorded pair observations · 0.21 pair observations per 100 analyzed battles
55.0%
Hawlucha
Hawlucha226 recorded pair observations · 0.15 pair observations per 100 analyzed battles
54.9%
Kyurem
Kyurem261 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.4%
Landorus-Therian
Landorus-Therian561 recorded pair observations · 0.38 pair observations per 100 analyzed battles
54.2%
Araquanid
Araquanid460 recorded pair observations · 0.31 pair observations per 100 analyzed battles
54.1%
Kommo-o
Kommo-o200 recorded pair observations · 0.13 pair observations per 100 analyzed battles
53.5%
Enamorus
Enamorus330 recorded pair observations · 0.22 pair observations per 100 analyzed battles
53.3%
Ting-Lu
Ting-Lu180 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.3%
Moltres
Moltres209 recorded pair observations · 0.14 pair observations per 100 analyzed battles
52.6%

Lower Win-rate Partners

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

Barraskewda
Barraskewda149 recorded pair observations · 0.10 pair observations per 100 analyzed battles
36.9%
Pelipper
Pelipper252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
38.1%
Garchomp
Garchomp387 recorded pair observations · 0.26 pair observations per 100 analyzed battles
39.8%
Incineroar
Incineroar223 recorded pair observations · 0.15 pair observations per 100 analyzed battles
40.8%
Arcanine-Hisui
Arcanine-Hisui293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
41.0%
Quaquaval
Quaquaval148 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.2%
Tyranitar
Tyranitar251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
41.8%
Gyarados
Gyarados293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.0%
Greninja-*
Greninja-*186 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.5%
Umbreon
Umbreon145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.5%

Higher Win-rate Opponent Teams

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

Maushold
Maushold161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.3%
Gengar
Gengar172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.2%
Ursaluna
Ursaluna200 recorded pair observations · 0.13 pair observations per 100 analyzed battles
53.0%
Araquanid
Araquanid147 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.4%
Clefable
Clefable422 recorded pair observations · 0.28 pair observations per 100 analyzed battles
52.4%
Weavile
Weavile201 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.2%
Venusaur
Venusaur173 recorded pair observations · 0.12 pair observations per 100 analyzed battles
52.0%
Greninja-*
Greninja-*218 recorded pair observations · 0.15 pair observations per 100 analyzed battles
50.9%
Blaziken
Blaziken195 recorded pair observations · 0.13 pair observations per 100 analyzed battles
50.3%
Garchomp
Garchomp451 recorded pair observations · 0.30 pair observations per 100 analyzed battles
50.1%

Lower Win-rate Opponent Teams

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

Enamorus
Enamorus233 recorded pair observations · 0.16 pair observations per 100 analyzed battles
38.2%
Skeledirge
Skeledirge146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
39.0%
Iron Moth
Iron Moth575 recorded pair observations · 0.39 pair observations per 100 analyzed battles
39.1%
Zamazenta-*
Zamazenta-*912 recorded pair observations · 0.61 pair observations per 100 analyzed battles
39.9%
Iron Crown
Iron Crown286 recorded pair observations · 0.19 pair observations per 100 analyzed battles
40.2%
Barraskewda
Barraskewda171 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.4%
Dragonite
Dragonite1060 recorded pair observations · 0.71 pair observations per 100 analyzed battles
40.7%
Hawlucha
Hawlucha179 recorded pair observations · 0.12 pair observations per 100 analyzed battles
40.8%
Kyurem
Kyurem643 recorded pair observations · 0.43 pair observations per 100 analyzed battles
41.7%
Glimmora
Glimmora680 recorded pair observations · 0.46 pair observations per 100 analyzed battles
42.4%