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

Venusaur

Tier D

BSS Regulation M-C (Pokemon Champions)

3.86%Usage Rate
50.83%Win Rate
11.16%Lead Rate
45.87%Selection Rate
1210Avg Rating

1936 recorded team appearances · 984 wins · 952 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Sludge Bomb Recorded use in 376 of 1936 distinct recorded team appearances (19.4%) 215 winning team uses of 376 recorded team uses
57.2%
Earth Power Recorded use in 329 of 1936 distinct recorded team appearances (17.0%) 186 winning team uses of 329 recorded team uses
56.5%
Giga Drain Recorded use in 289 of 1936 distinct recorded team appearances (14.9%) 167 winning team uses of 289 recorded team uses
57.8%
Synthesis Recorded use in 210 of 1936 distinct recorded team appearances (10.8%) 118 winning team uses of 210 recorded team uses
56.2%
Leech Seed Recorded use in 101 of 1936 distinct recorded team appearances (5.2%) 56 winning team uses of 101 recorded team uses
55.4%
Sleep Powder Recorded use in 81 of 1936 distinct recorded team appearances (4.2%) 34 winning team uses of 81 recorded team uses
42.0%
Sludge Wave Recorded use in 72 of 1936 distinct recorded team appearances (3.7%) 37 winning team uses of 72 recorded team uses
51.4%
Solar Beam Recorded use in 70 of 1936 distinct recorded team appearances (3.6%) 47 winning team uses of 70 recorded team uses
67.1%
Weather Ball Recorded use in 63 of 1936 distinct recorded team appearances (3.3%) 43 winning team uses of 63 recorded team uses
68.3%
Protect Recorded use in 26 of 1936 distinct recorded team appearances (1.3%) 7 winning team uses of 26 recorded team uses
26.9%

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 2.69 48.82 12542 338 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 5.80 51.72 12542 727 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 3.44 48.61 12542 432 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 3.50 53.08 12540 439 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 2.86 50.88 9968 285 Observed
~R1142 3.50 51.00 9958 349 Observed
~R1208 4.16 55.71 10104 420 Observed
~R1298 4.62 49.35 10004 462 Observed
R1298~ 4.15 47.38 10132 420 Observed

Venusaur Observed Statistics

Performance Metrics

Venusaur has a reported usage rate of 3.86% and win rate of 50.83% in BSS Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 984 wins and 952 losses (1,936 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 2.69% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 3.50% 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 +0.81 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 48.82% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=338 recorded appearances) and 53.08% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=439 recorded appearances), a change of +4.26 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 2.86% (~R1089; n=9,968 team slots) to 4.62% (~R1298; n=10,004 team slots), a spread of 1.76 percentage points. Overall usage was 3.86%. 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, Sludge Bomb has the largest recorded team-use count (376; 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: Garchomp: 49.3% wins in 791 recorded pair observations; Greninja: 55.6% wins in 399 recorded pair observations; Torkoal: 56.4% wins in 399 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: Eelektross: 70.4% wins in 27 recorded pair observations; Alakazam: 66.7% wins in 24 recorded pair observations; Milotic: 66.7% wins in 27 recorded pair observations. Returned lower-win-rate opponent group: Tinkaton: 37.5% wins in 32 recorded pair observations; Slowking-Galar: 38.3% wins in 47 recorded pair observations; Staraptor: 38.9% wins in 72 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%

Garchomp
Garchomp791 recorded pair observations · 3.15 pair observations per 100 analyzed battles
49.3%
Greninja
Greninja399 recorded pair observations · 1.59 pair observations per 100 analyzed battles
55.6%
Torkoal
Torkoal399 recorded pair observations · 1.59 pair observations per 100 analyzed battles
56.4%
Primarina
Primarina396 recorded pair observations · 1.58 pair observations per 100 analyzed battles
51.8%
Samurott-Hisui
Samurott-Hisui393 recorded pair observations · 1.57 pair observations per 100 analyzed battles
53.2%
Golisopod
Golisopod359 recorded pair observations · 1.43 pair observations per 100 analyzed battles
56.3%
Metagross
Metagross312 recorded pair observations · 1.24 pair observations per 100 analyzed battles
50.3%
Basculegion
Basculegion311 recorded pair observations · 1.24 pair observations per 100 analyzed battles
49.2%
Politoed
Politoed304 recorded pair observations · 1.21 pair observations per 100 analyzed battles
54.0%
Hydreigon
Hydreigon299 recorded pair observations · 1.19 pair observations per 100 analyzed battles
49.8%
Emboar
Emboar297 recorded pair observations · 1.18 pair observations per 100 analyzed battles
54.9%
Corviknight
Corviknight291 recorded pair observations · 1.16 pair observations per 100 analyzed battles
50.9%
Charizard
Charizard274 recorded pair observations · 1.09 pair observations per 100 analyzed battles
43.4%
Clefable
Clefable251 recorded pair observations · 1.00 pair observations per 100 analyzed battles
53.4%
Kingambit
Kingambit187 recorded pair observations · 0.75 pair observations per 100 analyzed battles
52.4%
Dragapult
Dragapult183 recorded pair observations · 0.73 pair observations per 100 analyzed battles
49.7%
Baxcalibur
Baxcalibur175 recorded pair observations · 0.70 pair observations per 100 analyzed battles
52.6%
Rotom-Wash
Rotom-Wash173 recorded pair observations · 0.69 pair observations per 100 analyzed battles
50.3%
Blaziken
Blaziken164 recorded pair observations · 0.65 pair observations per 100 analyzed battles
55.5%
Ninetales-Alola
Ninetales-Alola142 recorded pair observations · 0.57 pair observations per 100 analyzed battles
55.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp638 recorded pair observations · 2.54 pair observations per 100 analyzed battles
46.2%
Primarina
Primarina475 recorded pair observations · 1.89 pair observations per 100 analyzed battles
46.5%
Hippowdon
Hippowdon373 recorded pair observations · 1.49 pair observations per 100 analyzed battles
48.5%
Gholdengo
Gholdengo368 recorded pair observations · 1.47 pair observations per 100 analyzed battles
46.5%
Archaludon
Archaludon361 recorded pair observations · 1.44 pair observations per 100 analyzed battles
49.6%
Salamence
Salamence330 recorded pair observations · 1.32 pair observations per 100 analyzed battles
45.5%
Mimikyu
Mimikyu293 recorded pair observations · 1.17 pair observations per 100 analyzed battles
47.4%
Golisopod
Golisopod292 recorded pair observations · 1.16 pair observations per 100 analyzed battles
44.9%
Basculegion
Basculegion273 recorded pair observations · 1.09 pair observations per 100 analyzed battles
48.7%
Corviknight
Corviknight270 recorded pair observations · 1.08 pair observations per 100 analyzed battles
47.4%
Lucario
Lucario269 recorded pair observations · 1.07 pair observations per 100 analyzed battles
52.4%
Baxcalibur
Baxcalibur216 recorded pair observations · 0.86 pair observations per 100 analyzed battles
47.7%
Meowscarada
Meowscarada216 recorded pair observations · 0.86 pair observations per 100 analyzed battles
50.0%
Charizard
Charizard214 recorded pair observations · 0.85 pair observations per 100 analyzed battles
44.9%
Kingambit
Kingambit208 recorded pair observations · 0.83 pair observations per 100 analyzed battles
50.5%
Metagross
Metagross205 recorded pair observations · 0.82 pair observations per 100 analyzed battles
44.4%
Dragonite
Dragonite199 recorded pair observations · 0.79 pair observations per 100 analyzed battles
49.2%
Floette-Eternal
Floette-Eternal180 recorded pair observations · 0.72 pair observations per 100 analyzed battles
56.1%
Rillaboom
Rillaboom177 recorded pair observations · 0.71 pair observations per 100 analyzed battles
55.4%
Gyarados
Gyarados169 recorded pair observations · 0.67 pair observations per 100 analyzed battles
47.9%

Higher Win-rate Partners

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

Starmie
Starmie26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
61.5%
Volcarona
Volcarona64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
60.9%
Mimikyu
Mimikyu61 recorded pair observations · 0.24 pair observations per 100 analyzed battles
60.7%
Goodra
Goodra30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
60.0%
Delphox
Delphox116 recorded pair observations · 0.46 pair observations per 100 analyzed battles
59.5%
Skeledirge
Skeledirge58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
58.6%
Aegislash
Aegislash137 recorded pair observations · 0.55 pair observations per 100 analyzed battles
56.9%
Toxapex
Toxapex37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
56.8%
Torkoal
Torkoal399 recorded pair observations · 1.59 pair observations per 100 analyzed battles
56.4%
Golisopod
Golisopod359 recorded pair observations · 1.43 pair observations per 100 analyzed battles
56.3%

Lower Win-rate Partners

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

Sneasler
Sneasler30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
20.0%
Overqwil
Overqwil28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
25.0%
Lucario
Lucario33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
33.3%
Sylveon
Sylveon27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
33.3%
Scizor
Scizor34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
38.2%
Ceruledge
Ceruledge49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
38.8%
Grimmsnarl
Grimmsnarl36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
38.9%
Steelix
Steelix28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.3%
Incineroar
Incineroar111 recorded pair observations · 0.44 pair observations per 100 analyzed battles
40.5%
Floette-Eternal
Floette-Eternal34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
41.2%

Higher Win-rate Opponent Teams

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

Eelektross
Eelektross27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
70.4%
Alakazam
Alakazam24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
66.7%
Milotic
Milotic27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
66.7%
Palafin
Palafin27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
66.7%
Mawile
Mawile26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
65.4%
Incineroar
Incineroar31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
64.5%
Volcarona
Volcarona91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
62.6%
Delphox
Delphox116 recorded pair observations · 0.46 pair observations per 100 analyzed battles
62.1%
Scolipede
Scolipede106 recorded pair observations · 0.42 pair observations per 100 analyzed battles
61.3%
Excadrill
Excadrill49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
61.2%

Lower Win-rate Opponent Teams

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

Tinkaton
Tinkaton32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
37.5%
Slowking-Galar
Slowking-Galar47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
38.3%
Staraptor
Staraptor72 recorded pair observations · 0.29 pair observations per 100 analyzed battles
38.9%
Arcanine-Hisui
Arcanine-Hisui28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.3%
Kangaskhan
Kangaskhan27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.7%
Pelipper
Pelipper88 recorded pair observations · 0.35 pair observations per 100 analyzed battles
40.9%
Raichu
Raichu80 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.8%
Metagross
Metagross205 recorded pair observations · 0.82 pair observations per 100 analyzed battles
44.4%
Whimsicott
Whimsicott27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.4%
Charizard
Charizard214 recorded pair observations · 0.85 pair observations per 100 analyzed battles
44.9%