Last Updated: 10/10/2026 14:12 [UTC]

Venusaur

Tier E

OU (Over Used)

2.19%Usage Rate
47.95%Win Rate
4.67%Lead Rate
1249Avg Rating

6530 recorded team appearances · 3131 wins · 3399 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Giga Drain Recorded use in 1741 of 6531 distinct recorded team appearances (26.7%) 902 winning team uses of 1741 recorded team uses
51.8%
Growth Recorded use in 1689 of 6531 distinct recorded team appearances (25.9%) 872 winning team uses of 1689 recorded team uses
51.6%
Weather Ball Recorded use in 1575 of 6531 distinct recorded team appearances (24.1%) 909 winning team uses of 1575 recorded team uses
57.7%
Sludge Bomb Recorded use in 1176 of 6531 distinct recorded team appearances (18.0%) 591 winning team uses of 1176 recorded team uses
50.3%
Earth Power Recorded use in 572 of 6531 distinct recorded team appearances (8.8%) 292 winning team uses of 572 recorded team uses
51.0%
Leech Seed Recorded use in 421 of 6531 distinct recorded team appearances (6.4%) 159 winning team uses of 421 recorded team uses
37.8%
Solar Beam Recorded use in 375 of 6531 distinct recorded team appearances (5.7%) 170 winning team uses of 375 recorded team uses
45.3%
Toxic Recorded use in 144 of 6531 distinct recorded team appearances (2.2%) 58 winning team uses of 144 recorded team uses
40.3%
Earthquake Recorded use in 135 of 6531 distinct recorded team appearances (2.1%) 73 winning team uses of 135 recorded team uses
54.1%
Sunny Day Recorded use in 89 of 6531 distinct recorded team appearances (1.4%) 24 winning team uses of 89 recorded team uses
27.0%

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 2.24 48.29 74642 1669 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.05 49.05 74642 1533 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 2.31 47.82 74640 1723 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.15 46.67 74640 1605 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.13 43.36 60200 1280 Observed
~R1156 2.07 48.82 59416 1229 Observed
~R1268 2.07 47.52 59484 1229 Observed
~R1398 2.24 49.52 59960 1343 Observed
R1398~ 2.44 50.17 59504 1449 Observed

Venusaur Observed Statistics

Performance Metrics

Venusaur has a reported usage rate of 2.19% and win rate of 47.95% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 3,131 wins and 3,399 losses (6,530 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 2.24% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.15% 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 -0.09 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 48.29% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=1,669 recorded appearances) and 46.67% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,605 recorded appearances), a change of -1.62 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 2.07% (~R1156; n=59,416 team slots) to 2.44% (R1398~; n=59,504 team slots), a spread of 0.37 percentage points. Overall usage was 2.19%. 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, Giga Drain has the largest recorded team-use count (1,741; 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: Walking Wake: 52.4% wins in 4,327 recorded pair observations; Great Tusk: 51.6% wins in 3,898 recorded pair observations; Ninetales: 51.1% wins in 2,890 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: Greninja-*: 57.5% wins in 179 recorded pair observations; Rotom-Wash: 55.0% wins in 169 recorded pair observations; Ursaluna: 52.6% wins in 156 recorded pair observations. Returned lower-win-rate opponent group: Cresselia: 38.8% wins in 165 recorded pair observations; Hoopa-Unbound: 39.6% wins in 169 recorded pair observations; Araquanid: 40.1% wins in 142 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%

Walking Wake
Walking Wake4327 recorded pair observations · 2.90 pair observations per 100 analyzed battles
52.4%
Great Tusk
Great Tusk3898 recorded pair observations · 2.61 pair observations per 100 analyzed battles
51.6%
Ninetales
Ninetales2890 recorded pair observations · 1.94 pair observations per 100 analyzed battles
51.1%
Torkoal
Torkoal2388 recorded pair observations · 1.60 pair observations per 100 analyzed battles
51.6%
Ceruledge
Ceruledge1916 recorded pair observations · 1.28 pair observations per 100 analyzed battles
51.1%
Hatterene
Hatterene1652 recorded pair observations · 1.11 pair observations per 100 analyzed battles
50.4%
Slither Wing
Slither Wing1120 recorded pair observations · 0.75 pair observations per 100 analyzed battles
53.4%
Raging Bolt
Raging Bolt908 recorded pair observations · 0.61 pair observations per 100 analyzed battles
54.0%
Kingambit
Kingambit501 recorded pair observations · 0.34 pair observations per 100 analyzed battles
52.3%
Corviknight
Corviknight487 recorded pair observations · 0.33 pair observations per 100 analyzed battles
50.3%
Charizard
Charizard453 recorded pair observations · 0.30 pair observations per 100 analyzed battles
36.0%
Dragapult
Dragapult443 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.0%
Blaziken
Blaziken425 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.1%
Zapdos
Zapdos291 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.8%
Lilligant-Hisui
Lilligant-Hisui290 recorded pair observations · 0.19 pair observations per 100 analyzed battles
58.6%
Gengar
Gengar287 recorded pair observations · 0.19 pair observations per 100 analyzed battles
32.4%
Gholdengo
Gholdengo278 recorded pair observations · 0.19 pair observations per 100 analyzed battles
52.5%
Cinderace
Cinderace264 recorded pair observations · 0.18 pair observations per 100 analyzed battles
46.2%
Gliscor
Gliscor264 recorded pair observations · 0.18 pair observations per 100 analyzed battles
41.7%
Snorlax
Snorlax255 recorded pair observations · 0.17 pair observations per 100 analyzed battles
33.7%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1788 recorded pair observations · 1.20 pair observations per 100 analyzed battles
47.5%
Gholdengo
Gholdengo1379 recorded pair observations · 0.92 pair observations per 100 analyzed battles
49.5%
Kingambit
Kingambit1306 recorded pair observations · 0.87 pair observations per 100 analyzed battles
45.8%
Dragonite
Dragonite949 recorded pair observations · 0.64 pair observations per 100 analyzed battles
43.7%
Zamazenta-*
Zamazenta-*925 recorded pair observations · 0.62 pair observations per 100 analyzed battles
47.4%
Ogerpon-Wellspring
Ogerpon-Wellspring922 recorded pair observations · 0.62 pair observations per 100 analyzed battles
49.6%
Dragapult
Dragapult910 recorded pair observations · 0.61 pair observations per 100 analyzed battles
44.6%
Iron Valiant
Iron Valiant901 recorded pair observations · 0.60 pair observations per 100 analyzed battles
46.2%
Gliscor
Gliscor877 recorded pair observations · 0.59 pair observations per 100 analyzed battles
49.8%
Corviknight
Corviknight783 recorded pair observations · 0.52 pair observations per 100 analyzed battles
49.9%
Raging Bolt
Raging Bolt746 recorded pair observations · 0.50 pair observations per 100 analyzed battles
43.2%
Hatterene
Hatterene723 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.9%
Slowking-Galar
Slowking-Galar712 recorded pair observations · 0.48 pair observations per 100 analyzed battles
42.1%
Cinderace
Cinderace674 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.6%
Alomomola
Alomomola663 recorded pair observations · 0.44 pair observations per 100 analyzed battles
48.6%
Landorus-Therian
Landorus-Therian651 recorded pair observations · 0.44 pair observations per 100 analyzed battles
45.5%
Samurott-Hisui
Samurott-Hisui648 recorded pair observations · 0.43 pair observations per 100 analyzed battles
42.8%
Kyurem
Kyurem604 recorded pair observations · 0.40 pair observations per 100 analyzed battles
47.5%
Iron Treads
Iron Treads584 recorded pair observations · 0.39 pair observations per 100 analyzed battles
49.1%
Darkrai
Darkrai581 recorded pair observations · 0.39 pair observations per 100 analyzed battles
48.4%

Higher Win-rate Partners

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

Lilligant-Hisui
Lilligant-Hisui290 recorded pair observations · 0.19 pair observations per 100 analyzed battles
58.6%
Landorus-Therian
Landorus-Therian171 recorded pair observations · 0.11 pair observations per 100 analyzed battles
56.1%
Arcanine-Hisui
Arcanine-Hisui150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.3%
Raging Bolt
Raging Bolt908 recorded pair observations · 0.61 pair observations per 100 analyzed battles
54.0%
Slither Wing
Slither Wing1120 recorded pair observations · 0.75 pair observations per 100 analyzed battles
53.4%
Gholdengo
Gholdengo278 recorded pair observations · 0.19 pair observations per 100 analyzed battles
52.5%
Walking Wake
Walking Wake4327 recorded pair observations · 2.90 pair observations per 100 analyzed battles
52.4%
Kingambit
Kingambit501 recorded pair observations · 0.34 pair observations per 100 analyzed battles
52.3%
Great Tusk
Great Tusk3898 recorded pair observations · 2.61 pair observations per 100 analyzed battles
51.6%
Torkoal
Torkoal2388 recorded pair observations · 1.60 pair observations per 100 analyzed battles
51.6%

Lower Win-rate Partners

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

Blastoise
Blastoise237 recorded pair observations · 0.16 pair observations per 100 analyzed battles
31.2%
Gengar
Gengar287 recorded pair observations · 0.19 pair observations per 100 analyzed battles
32.4%
Cloyster
Cloyster230 recorded pair observations · 0.15 pair observations per 100 analyzed battles
32.6%
Persian
Persian196 recorded pair observations · 0.13 pair observations per 100 analyzed battles
32.6%
Raichu
Raichu224 recorded pair observations · 0.15 pair observations per 100 analyzed battles
33.0%
Sandslash
Sandslash197 recorded pair observations · 0.13 pair observations per 100 analyzed battles
33.0%
Snorlax
Snorlax255 recorded pair observations · 0.17 pair observations per 100 analyzed battles
33.7%
Dragonite
Dragonite191 recorded pair observations · 0.13 pair observations per 100 analyzed battles
34.5%
Garchomp
Garchomp184 recorded pair observations · 0.12 pair observations per 100 analyzed battles
34.8%
Charizard
Charizard453 recorded pair observations · 0.30 pair observations per 100 analyzed battles
36.0%

Higher Win-rate Opponent Teams

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

Greninja-*
Greninja-*179 recorded pair observations · 0.12 pair observations per 100 analyzed battles
57.5%
Rotom-Wash
Rotom-Wash169 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.0%
Ursaluna
Ursaluna156 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.6%
Pelipper
Pelipper279 recorded pair observations · 0.19 pair observations per 100 analyzed battles
52.0%
Tornadus-Therian
Tornadus-Therian227 recorded pair observations · 0.15 pair observations per 100 analyzed battles
51.5%
Scizor
Scizor306 recorded pair observations · 0.20 pair observations per 100 analyzed battles
51.3%
Deoxys-Speed
Deoxys-Speed293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
50.9%
Blaziken
Blaziken205 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.7%
Meowscarada
Meowscarada299 recorded pair observations · 0.20 pair observations per 100 analyzed battles
50.5%
Primarina
Primarina366 recorded pair observations · 0.25 pair observations per 100 analyzed battles
50.5%

Lower Win-rate Opponent Teams

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

Cresselia
Cresselia165 recorded pair observations · 0.11 pair observations per 100 analyzed battles
38.8%
Hoopa-Unbound
Hoopa-Unbound169 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.6%
Araquanid
Araquanid142 recorded pair observations · 0.10 pair observations per 100 analyzed battles
40.1%
Iron Moth
Iron Moth491 recorded pair observations · 0.33 pair observations per 100 analyzed battles
40.5%
Ninetales
Ninetales178 recorded pair observations · 0.12 pair observations per 100 analyzed battles
40.5%
Garganacl
Garganacl355 recorded pair observations · 0.24 pair observations per 100 analyzed battles
41.1%
Torkoal
Torkoal196 recorded pair observations · 0.13 pair observations per 100 analyzed battles
41.3%
Slowking-Galar
Slowking-Galar712 recorded pair observations · 0.48 pair observations per 100 analyzed battles
42.1%
Heatran
Heatran267 recorded pair observations · 0.18 pair observations per 100 analyzed battles
42.7%
Samurott-Hisui
Samurott-Hisui648 recorded pair observations · 0.43 pair observations per 100 analyzed battles
42.8%