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

Blastoise

Tier C

BSS Regulation M-C (Pokemon Champions)

4.92%Usage Rate
53.26%Win Rate
8.76%Lead Rate
42.12%Selection Rate
1243Avg Rating

2467 recorded team appearances · 1314 wins · 1153 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Shell Smash Recorded use in 573 of 2467 distinct recorded team appearances (23.2%) 301 winning team uses of 573 recorded team uses
52.5%
Dark Pulse Recorded use in 321 of 2467 distinct recorded team appearances (13.0%) 200 winning team uses of 321 recorded team uses
62.3%
Aura Sphere Recorded use in 251 of 2467 distinct recorded team appearances (10.2%) 167 winning team uses of 251 recorded team uses
66.5%
Water Pulse Recorded use in 202 of 2467 distinct recorded team appearances (8.2%) 112 winning team uses of 202 recorded team uses
55.4%
Terrain Pulse Recorded use in 179 of 2467 distinct recorded team appearances (7.3%) 122 winning team uses of 179 recorded team uses
68.2%
Ice Beam Recorded use in 120 of 2467 distinct recorded team appearances (4.9%) 71 winning team uses of 120 recorded team uses
59.2%
Water Spout Recorded use in 114 of 2467 distinct recorded team appearances (4.6%) 57 winning team uses of 114 recorded team uses
50.0%
Surf Recorded use in 42 of 2467 distinct recorded team appearances (1.7%) 21 winning team uses of 42 recorded team uses
50.0%
Dragon Pulse Recorded use in 27 of 2467 distinct recorded team appearances (1.1%) 14 winning team uses of 27 recorded team uses
51.9%
Hydro Pump Recorded use in 13 of 2467 distinct recorded team appearances (0.5%) 5 winning team uses of 13 recorded team uses
38.5%

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 3.81 51.67 12542 478 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 4.67 56.31 12542 586 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 5.48 53.86 12542 687 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 5.71 51.26 12540 716 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 3.36 48.06 9968 335 Observed
~R1142 3.81 49.60 9958 379 Observed
~R1208 4.33 54.92 10104 437 Observed
~R1298 5.15 54.56 10004 515 Observed
R1298~ 7.91 55.43 10132 801 Observed

Blastoise Observed Statistics

Performance Metrics

Blastoise has a reported usage rate of 4.92% and win rate of 53.26% in BSS Regulation M-C (Pokemon Champions) (displayed tier: C). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,314 wins and 1,153 losses (2,467 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 3.81% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 5.71% 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 +1.90 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 51.67% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=478 recorded appearances) and 51.26% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=716 recorded appearances), a change of -0.41 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 3.36% (~R1089; n=9,968 team slots) to 7.91% (R1298~; n=10,132 team slots), a spread of 4.55 percentage points. Overall usage was 4.92%. 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, Shell Smash has the largest recorded team-use count (573; 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: Indeedee: 57.9% wins in 1,495 recorded pair observations; Garchomp: 56.1% wins in 831 recorded pair observations; Sneasler: 53.5% wins in 578 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: Gallade: 74.2% wins in 31 recorded pair observations; Barbaracle: 69.8% wins in 96 recorded pair observations; Indeedee-F: 69.2% wins in 26 recorded pair observations. Returned lower-win-rate opponent group: Scovillain: 38.5% wins in 26 recorded pair observations; Arcanine-Hisui: 40.9% wins in 44 recorded pair observations; Bellibolt: 43.6% wins in 55 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%

Indeedee
Indeedee1495 recorded pair observations · 5.96 pair observations per 100 analyzed battles
57.9%
Garchomp
Garchomp831 recorded pair observations · 3.31 pair observations per 100 analyzed battles
56.1%
Sneasler
Sneasler578 recorded pair observations · 2.30 pair observations per 100 analyzed battles
53.5%
Corviknight
Corviknight549 recorded pair observations · 2.19 pair observations per 100 analyzed battles
55.6%
Archaludon
Archaludon492 recorded pair observations · 1.96 pair observations per 100 analyzed battles
57.5%
Toxapex
Toxapex332 recorded pair observations · 1.32 pair observations per 100 analyzed battles
61.1%
Golisopod
Golisopod317 recorded pair observations · 1.26 pair observations per 100 analyzed battles
54.3%
Floette-Eternal
Floette-Eternal305 recorded pair observations · 1.22 pair observations per 100 analyzed battles
59.7%
Hippowdon
Hippowdon282 recorded pair observations · 1.12 pair observations per 100 analyzed battles
57.1%
Rillaboom
Rillaboom244 recorded pair observations · 0.97 pair observations per 100 analyzed battles
48.4%
Baxcalibur
Baxcalibur242 recorded pair observations · 0.96 pair observations per 100 analyzed battles
58.3%
Ninetales-Alola
Ninetales-Alola215 recorded pair observations · 0.86 pair observations per 100 analyzed battles
62.3%
Raichu
Raichu196 recorded pair observations · 0.78 pair observations per 100 analyzed battles
51.5%
Charizard
Charizard195 recorded pair observations · 0.78 pair observations per 100 analyzed battles
56.4%
Gholdengo
Gholdengo195 recorded pair observations · 0.78 pair observations per 100 analyzed battles
54.4%
Lucario
Lucario192 recorded pair observations · 0.77 pair observations per 100 analyzed battles
56.8%
Pelipper
Pelipper192 recorded pair observations · 0.77 pair observations per 100 analyzed battles
59.9%
Glimmora
Glimmora178 recorded pair observations · 0.71 pair observations per 100 analyzed battles
56.2%
Ditto
Ditto154 recorded pair observations · 0.61 pair observations per 100 analyzed battles
56.5%
Vanilluxe
Vanilluxe154 recorded pair observations · 0.61 pair observations per 100 analyzed battles
55.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp871 recorded pair observations · 3.47 pair observations per 100 analyzed battles
52.0%
Primarina
Primarina577 recorded pair observations · 2.30 pair observations per 100 analyzed battles
48.5%
Archaludon
Archaludon478 recorded pair observations · 1.91 pair observations per 100 analyzed battles
55.9%
Gholdengo
Gholdengo476 recorded pair observations · 1.90 pair observations per 100 analyzed battles
49.8%
Hippowdon
Hippowdon456 recorded pair observations · 1.82 pair observations per 100 analyzed battles
53.3%
Mimikyu
Mimikyu449 recorded pair observations · 1.79 pair observations per 100 analyzed battles
52.1%
Golisopod
Golisopod396 recorded pair observations · 1.58 pair observations per 100 analyzed battles
47.0%
Salamence
Salamence374 recorded pair observations · 1.49 pair observations per 100 analyzed battles
57.5%
Corviknight
Corviknight372 recorded pair observations · 1.48 pair observations per 100 analyzed battles
53.5%
Basculegion
Basculegion346 recorded pair observations · 1.38 pair observations per 100 analyzed battles
52.6%
Lucario
Lucario317 recorded pair observations · 1.26 pair observations per 100 analyzed battles
55.2%
Kingambit
Kingambit291 recorded pair observations · 1.16 pair observations per 100 analyzed battles
58.1%
Baxcalibur
Baxcalibur290 recorded pair observations · 1.16 pair observations per 100 analyzed battles
49.0%
Charizard
Charizard284 recorded pair observations · 1.13 pair observations per 100 analyzed battles
56.0%
Dragonite
Dragonite265 recorded pair observations · 1.06 pair observations per 100 analyzed battles
52.1%
Meowscarada
Meowscarada259 recorded pair observations · 1.03 pair observations per 100 analyzed battles
47.1%
Metagross
Metagross250 recorded pair observations · 1.00 pair observations per 100 analyzed battles
54.0%
Floette-Eternal
Floette-Eternal228 recorded pair observations · 0.91 pair observations per 100 analyzed battles
57.5%
Clefable
Clefable217 recorded pair observations · 0.87 pair observations per 100 analyzed battles
58.1%
Gyarados
Gyarados200 recorded pair observations · 0.80 pair observations per 100 analyzed battles
55.0%

Higher Win-rate Partners

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

Tinkaton
Tinkaton67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
68.7%
Samurott-Hisui
Samurott-Hisui146 recorded pair observations · 0.58 pair observations per 100 analyzed battles
67.8%
Forretress
Forretress31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
67.7%
Hydreigon
Hydreigon77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
66.2%
Swampert
Swampert145 recorded pair observations · 0.58 pair observations per 100 analyzed battles
65.5%
Ninetales-Alola
Ninetales-Alola215 recorded pair observations · 0.86 pair observations per 100 analyzed battles
62.3%
Toxapex
Toxapex332 recorded pair observations · 1.32 pair observations per 100 analyzed battles
61.1%
Pelipper
Pelipper192 recorded pair observations · 0.77 pair observations per 100 analyzed battles
59.9%
Floette-Eternal
Floette-Eternal305 recorded pair observations · 1.22 pair observations per 100 analyzed battles
59.7%
Conkeldurr
Conkeldurr64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
59.4%

Lower Win-rate Partners

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

Espathra
Espathra25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
28.0%
Alakazam
Alakazam39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
28.2%
Slowbro-Galar
Slowbro-Galar35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
31.4%
Lopunny
Lopunny31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
32.3%
Rotom-Wash
Rotom-Wash40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
32.5%
Absol
Absol37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
35.1%
Cinderace
Cinderace65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
35.4%
Excadrill
Excadrill28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
35.7%
Volcarona
Volcarona98 recorded pair observations · 0.39 pair observations per 100 analyzed battles
35.7%
Armarouge
Armarouge62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
37.1%

Higher Win-rate Opponent Teams

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

Gallade
Gallade31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
74.2%
Barbaracle
Barbaracle96 recorded pair observations · 0.38 pair observations per 100 analyzed battles
69.8%
Indeedee-F
Indeedee-F26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
69.2%
Milotic
Milotic29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
69.0%
Ceruledge
Ceruledge85 recorded pair observations · 0.34 pair observations per 100 analyzed battles
65.9%
Gardevoir
Gardevoir26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
65.4%
Scolipede
Scolipede108 recorded pair observations · 0.43 pair observations per 100 analyzed battles
63.9%
Meganium
Meganium55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
63.6%
Araquanid
Araquanid58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
62.1%
Goodra-Hisui
Goodra-Hisui29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
62.1%

Lower Win-rate Opponent Teams

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

Scovillain
Scovillain26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.5%
Arcanine-Hisui
Arcanine-Hisui44 recorded pair observations · 0.18 pair observations per 100 analyzed battles
40.9%
Bellibolt
Bellibolt55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
43.6%
Pawmot
Pawmot116 recorded pair observations · 0.46 pair observations per 100 analyzed battles
45.7%
Victreebel
Victreebel24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.8%
Torkoal
Torkoal26 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.1%
Banette
Banette54 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.3%
Starmie
Starmie179 recorded pair observations · 0.71 pair observations per 100 analyzed battles
46.4%
Delphox
Delphox142 recorded pair observations · 0.57 pair observations per 100 analyzed battles
46.5%
Espathra
Espathra58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
46.5%