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

Toxapex

Tier D

OU (Over Used)

3.92%Usage Rate
49.15%Win Rate
14.47%Lead Rate
1193Avg Rating

11689 recorded team appearances · 5745 wins · 5944 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Toxic Recorded use in 3093 of 11690 distinct recorded team appearances (26.5%) 1624 winning team uses of 3093 recorded team uses
52.5%
Baneful Bunker Recorded use in 2763 of 11690 distinct recorded team appearances (23.6%) 1315 winning team uses of 2763 recorded team uses
47.6%
Recover Recorded use in 2110 of 11690 distinct recorded team appearances (18.0%) 1121 winning team uses of 2110 recorded team uses
53.1%
Toxic Spikes Recorded use in 1853 of 11690 distinct recorded team appearances (15.9%) 902 winning team uses of 1853 recorded team uses
48.7%
Infestation Recorded use in 1662 of 11690 distinct recorded team appearances (14.2%) 836 winning team uses of 1662 recorded team uses
50.3%
Haze Recorded use in 1210 of 11690 distinct recorded team appearances (10.4%) 644 winning team uses of 1210 recorded team uses
53.2%
Surf Recorded use in 805 of 11690 distinct recorded team appearances (6.9%) 391 winning team uses of 805 recorded team uses
48.6%
Poison Jab Recorded use in 497 of 11690 distinct recorded team appearances (4.3%) 280 winning team uses of 497 recorded team uses
56.3%
Liquidation Recorded use in 465 of 11690 distinct recorded team appearances (4.0%) 220 winning team uses of 465 recorded team uses
47.3%
Sludge Bomb Recorded use in 410 of 11690 distinct recorded team appearances (3.5%) 210 winning team uses of 410 recorded team uses
51.2%

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 4.16 49.63 74642 3103 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 3.64 48.25 74642 2717 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 3.92 50.05 74640 2927 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 3.94 48.57 74640 2942 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 5.61 50.50 60200 3376 Observed
~R1156 5.10 47.35 59416 3033 Observed
~R1268 3.63 48.40 59484 2159 Observed
~R1398 2.94 49.86 59960 1761 Observed
R1398~ 2.29 50.07 59504 1360 Observed

Toxapex Observed Statistics

Performance Metrics

Toxapex has a reported usage rate of 3.92% and win rate of 49.15% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 5,745 wins and 5,944 losses (11,689 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 4.16% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 3.94% 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 -0.22 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 49.63% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=3,103 recorded appearances) and 48.57% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=2,942 recorded appearances), a change of -1.06 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 2.29% (R1398~; n=59,504 team slots) to 5.61% (~R1084; n=60,200 team slots), a spread of 3.32 percentage points. Overall usage was 3.92%. 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, Toxic has the largest recorded team-use count (3,093; 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: Gliscor: 52.7% wins in 4,974 recorded pair observations; Corviknight: 51.2% wins in 3,883 recorded pair observations; Dondozo: 52.5% wins in 3,732 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: Mimikyu: 62.0% wins in 195 recorded pair observations; Zoroark-Hisui: 58.9% wins in 197 recorded pair observations; Quaquaval: 57.5% wins in 221 recorded pair observations. Returned lower-win-rate opponent group: Hoopa-Unbound: 39.6% wins in 275 recorded pair observations; Ogerpon-Cornerstone: 39.6% wins in 164 recorded pair observations; Blissey: 41.4% wins in 319 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%

Gliscor
Gliscor4974 recorded pair observations · 3.33 pair observations per 100 analyzed battles
52.7%
Corviknight
Corviknight3883 recorded pair observations · 2.60 pair observations per 100 analyzed battles
51.2%
Dondozo
Dondozo3732 recorded pair observations · 2.50 pair observations per 100 analyzed battles
52.5%
Blissey
Blissey3137 recorded pair observations · 2.10 pair observations per 100 analyzed battles
53.2%
Clodsire
Clodsire1930 recorded pair observations · 1.29 pair observations per 100 analyzed battles
51.5%
Clefable
Clefable1618 recorded pair observations · 1.08 pair observations per 100 analyzed battles
49.8%
Great Tusk
Great Tusk1412 recorded pair observations · 0.95 pair observations per 100 analyzed battles
49.6%
Alomomola
Alomomola1262 recorded pair observations · 0.85 pair observations per 100 analyzed battles
49.8%
Gholdengo
Gholdengo1203 recorded pair observations · 0.81 pair observations per 100 analyzed battles
47.5%
Dragapult
Dragapult1153 recorded pair observations · 0.77 pair observations per 100 analyzed battles
52.5%
Kingambit
Kingambit1107 recorded pair observations · 0.74 pair observations per 100 analyzed battles
49.5%
Garganacl
Garganacl994 recorded pair observations · 0.67 pair observations per 100 analyzed battles
46.5%
Weezing-Galar
Weezing-Galar966 recorded pair observations · 0.65 pair observations per 100 analyzed battles
51.5%
Ting-Lu
Ting-Lu934 recorded pair observations · 0.63 pair observations per 100 analyzed battles
47.0%
Iron Valiant
Iron Valiant904 recorded pair observations · 0.61 pair observations per 100 analyzed battles
50.5%
Dragonite
Dragonite889 recorded pair observations · 0.60 pair observations per 100 analyzed battles
48.3%
Excadrill
Excadrill773 recorded pair observations · 0.52 pair observations per 100 analyzed battles
56.4%
Tyranitar
Tyranitar761 recorded pair observations · 0.51 pair observations per 100 analyzed battles
53.9%
Cinderace
Cinderace740 recorded pair observations · 0.50 pair observations per 100 analyzed battles
49.5%
Landorus-Therian
Landorus-Therian637 recorded pair observations · 0.43 pair observations per 100 analyzed battles
50.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk2916 recorded pair observations · 1.95 pair observations per 100 analyzed battles
44.2%
Gholdengo
Gholdengo2322 recorded pair observations · 1.56 pair observations per 100 analyzed battles
43.0%
Kingambit
Kingambit2285 recorded pair observations · 1.53 pair observations per 100 analyzed battles
44.4%
Dragonite
Dragonite1725 recorded pair observations · 1.16 pair observations per 100 analyzed battles
48.4%
Gliscor
Gliscor1695 recorded pair observations · 1.14 pair observations per 100 analyzed battles
46.0%
Dragapult
Dragapult1680 recorded pair observations · 1.13 pair observations per 100 analyzed battles
49.7%
Corviknight
Corviknight1571 recorded pair observations · 1.05 pair observations per 100 analyzed battles
47.4%
Ogerpon-Wellspring
Ogerpon-Wellspring1474 recorded pair observations · 0.99 pair observations per 100 analyzed battles
44.3%
Zamazenta-*
Zamazenta-*1468 recorded pair observations · 0.98 pair observations per 100 analyzed battles
46.4%
Iron Valiant
Iron Valiant1462 recorded pair observations · 0.98 pair observations per 100 analyzed battles
47.5%
Hatterene
Hatterene1246 recorded pair observations · 0.83 pair observations per 100 analyzed battles
43.3%
Raging Bolt
Raging Bolt1227 recorded pair observations · 0.82 pair observations per 100 analyzed battles
46.0%
Alomomola
Alomomola1170 recorded pair observations · 0.78 pair observations per 100 analyzed battles
43.9%
Slowking-Galar
Slowking-Galar1168 recorded pair observations · 0.78 pair observations per 100 analyzed battles
43.5%
Cinderace
Cinderace1086 recorded pair observations · 0.73 pair observations per 100 analyzed battles
49.6%
Glimmora
Glimmora1076 recorded pair observations · 0.72 pair observations per 100 analyzed battles
46.8%
Iron Treads
Iron Treads1017 recorded pair observations · 0.68 pair observations per 100 analyzed battles
46.3%
Landorus-Therian
Landorus-Therian1015 recorded pair observations · 0.68 pair observations per 100 analyzed battles
43.4%
Kyurem
Kyurem1010 recorded pair observations · 0.68 pair observations per 100 analyzed battles
43.1%
Samurott-Hisui
Samurott-Hisui1009 recorded pair observations · 0.68 pair observations per 100 analyzed battles
46.0%

Higher Win-rate Partners

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

Moltres
Moltres419 recorded pair observations · 0.28 pair observations per 100 analyzed battles
59.4%
Ursaluna
Ursaluna265 recorded pair observations · 0.18 pair observations per 100 analyzed battles
58.9%
Excadrill
Excadrill773 recorded pair observations · 0.52 pair observations per 100 analyzed battles
56.4%
Ribombee
Ribombee171 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.6%
Talonflame
Talonflame590 recorded pair observations · 0.40 pair observations per 100 analyzed battles
54.9%
Cresselia
Cresselia178 recorded pair observations · 0.12 pair observations per 100 analyzed battles
54.5%
Tyranitar
Tyranitar761 recorded pair observations · 0.51 pair observations per 100 analyzed battles
53.9%
Sinistcha
Sinistcha385 recorded pair observations · 0.26 pair observations per 100 analyzed battles
53.8%
Tornadus-Therian
Tornadus-Therian383 recorded pair observations · 0.26 pair observations per 100 analyzed battles
53.8%
Blissey
Blissey3137 recorded pair observations · 2.10 pair observations per 100 analyzed battles
53.2%

Lower Win-rate Partners

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

Wo-Chien
Wo-Chien345 recorded pair observations · 0.23 pair observations per 100 analyzed battles
33.9%
Maushold
Maushold145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.6%
Pelipper
Pelipper188 recorded pair observations · 0.13 pair observations per 100 analyzed battles
38.8%
Ceruledge
Ceruledge344 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.0%
Deoxys-Speed
Deoxys-Speed193 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.0%
Ogerpon-Wellspring
Ogerpon-Wellspring274 recorded pair observations · 0.18 pair observations per 100 analyzed battles
43.4%
Weavile
Weavile198 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.4%
Kyurem
Kyurem143 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.1%
Grimmsnarl
Grimmsnarl324 recorded pair observations · 0.22 pair observations per 100 analyzed battles
44.4%
Salazzle
Salazzle145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.8%

Higher Win-rate Opponent Teams

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

Mimikyu
Mimikyu195 recorded pair observations · 0.13 pair observations per 100 analyzed battles
62.0%
Zoroark-Hisui
Zoroark-Hisui197 recorded pair observations · 0.13 pair observations per 100 analyzed battles
58.9%
Quaquaval
Quaquaval221 recorded pair observations · 0.15 pair observations per 100 analyzed battles
57.5%
Gyarados
Gyarados182 recorded pair observations · 0.12 pair observations per 100 analyzed battles
56.6%
Cloyster
Cloyster167 recorded pair observations · 0.11 pair observations per 100 analyzed battles
56.3%
Milotic
Milotic151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
56.3%
Ninetales-Alola
Ninetales-Alola246 recorded pair observations · 0.16 pair observations per 100 analyzed battles
55.3%
Ceruledge
Ceruledge982 recorded pair observations · 0.66 pair observations per 100 analyzed battles
55.1%
Venusaur
Venusaur261 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.8%
Torkoal
Torkoal415 recorded pair observations · 0.28 pair observations per 100 analyzed battles
54.2%

Lower Win-rate Opponent Teams

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

Hoopa-Unbound
Hoopa-Unbound275 recorded pair observations · 0.18 pair observations per 100 analyzed battles
39.6%
Ogerpon-Cornerstone
Ogerpon-Cornerstone164 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.6%
Blissey
Blissey319 recorded pair observations · 0.21 pair observations per 100 analyzed battles
41.4%
Weezing-Galar
Weezing-Galar495 recorded pair observations · 0.33 pair observations per 100 analyzed battles
42.6%
Iron Crown
Iron Crown378 recorded pair observations · 0.25 pair observations per 100 analyzed battles
42.9%
Gholdengo
Gholdengo2322 recorded pair observations · 1.56 pair observations per 100 analyzed battles
43.0%
Kyurem
Kyurem1010 recorded pair observations · 0.68 pair observations per 100 analyzed battles
43.1%
Hatterene
Hatterene1246 recorded pair observations · 0.83 pair observations per 100 analyzed battles
43.3%
Landorus-Therian
Landorus-Therian1015 recorded pair observations · 0.68 pair observations per 100 analyzed battles
43.4%
Latios
Latios173 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.4%