Last Updated: 10/26/2026 11:12 [UTC]

Blastoise

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

2.36%Usage Rate
49.17%Win Rate
43.50%Lead Rate
59.89%Selection Rate
1259Avg Rating

15199 recorded team appearances · 7473 wins · 7726 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Water Spout Recorded use in 5313 of 15199 distinct recorded team appearances (35.0%) 3207 winning team uses of 5313 recorded team uses
60.4%
Shell Smash Recorded use in 3813 of 15199 distinct recorded team appearances (25.1%) 2122 winning team uses of 3813 recorded team uses
55.7%
Protect Recorded use in 3470 of 15199 distinct recorded team appearances (22.8%) 1771 winning team uses of 3470 recorded team uses
51.0%
Dark Pulse Recorded use in 1685 of 15199 distinct recorded team appearances (11.1%) 959 winning team uses of 1685 recorded team uses
56.9%
Aura Sphere Recorded use in 1047 of 15199 distinct recorded team appearances (6.9%) 570 winning team uses of 1047 recorded team uses
54.4%
Fake Out Recorded use in 970 of 15199 distinct recorded team appearances (6.4%) 490 winning team uses of 970 recorded team uses
50.5%
Terrain Pulse Recorded use in 846 of 15199 distinct recorded team appearances (5.6%) 472 winning team uses of 846 recorded team uses
55.8%
Ice Beam Recorded use in 692 of 15199 distinct recorded team appearances (4.6%) 405 winning team uses of 692 recorded team uses
58.5%
Water Pulse Recorded use in 419 of 15199 distinct recorded team appearances (2.8%) 219 winning team uses of 419 recorded team uses
52.3%
Muddy Water Recorded use in 297 of 15199 distinct recorded team appearances (2.0%) 139 winning team uses of 297 recorded team uses
46.8%

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 11:01–2026/10/16 00:34 UTC 2.43 50.37 160968 3913 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 2.21 48.40 160966 3562 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 2.22 49.65 160966 3577 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 2.58 48.28 160966 4147 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 2.75 47.63 128104 3529 Observed
~R1208 2.44 48.11 129182 3149 Observed
~R1302 2.40 49.26 126962 3049 Observed
~R1405 2.25 50.12 130626 2943 Observed
R1405~ 1.96 51.40 128992 2529 Observed

Blastoise Observed Statistics

Performance Metrics

Blastoise has a reported usage rate of 2.36% and win rate of 49.17% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 7,473 wins and 7,726 losses (15,199 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 2.43% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 2.58% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 team slots), a change of +0.15 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 50.37% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=3,913 recorded appearances) and 48.28% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=4,147 recorded appearances), a change of -2.09 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.

Rating-band Observations

Across 5 available rating bands, usage ranged from 1.96% (R1405~; n=128,992 team slots) to 2.75% (~R1129; n=128,104 team slots), a spread of 0.79 percentage points. Overall usage was 2.36%. 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, Water Spout has the largest recorded team-use count (5,313; 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-F: 51.2% wins in 6,677 recorded pair observations; Sinistcha: 51.6% wins in 4,502 recorded pair observations; Sneasler: 51.9% wins in 4,028 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: Talonflame: 56.9% wins in 360 recorded pair observations; Metagross: 55.2% wins in 730 recorded pair observations; Maushold: 54.9% wins in 306 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 43.6% wins in 642 recorded pair observations; Gardevoir: 44.0% wins in 977 recorded pair observations; Floette-Eternal: 44.2% wins in 1,042 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-F
Indeedee-F6677 recorded pair observations · 2.07 pair observations per 100 analyzed battles
51.2%
Sinistcha
Sinistcha4502 recorded pair observations · 1.40 pair observations per 100 analyzed battles
51.6%
Sneasler
Sneasler4028 recorded pair observations · 1.25 pair observations per 100 analyzed battles
51.9%
Pelipper
Pelipper3999 recorded pair observations · 1.24 pair observations per 100 analyzed battles
49.9%
Incineroar
Incineroar3635 recorded pair observations · 1.13 pair observations per 100 analyzed battles
50.6%
Rillaboom
Rillaboom3535 recorded pair observations · 1.10 pair observations per 100 analyzed battles
48.1%
Farigiraf
Farigiraf3462 recorded pair observations · 1.08 pair observations per 100 analyzed battles
52.6%
Kingambit
Kingambit2245 recorded pair observations · 0.70 pair observations per 100 analyzed battles
51.8%
Archaludon
Archaludon1796 recorded pair observations · 0.56 pair observations per 100 analyzed battles
52.7%
Delphox
Delphox1793 recorded pair observations · 0.56 pair observations per 100 analyzed battles
53.5%
Golisopod
Golisopod1506 recorded pair observations · 0.47 pair observations per 100 analyzed battles
52.2%
Garchomp
Garchomp1300 recorded pair observations · 0.40 pair observations per 100 analyzed battles
47.8%
Raichu
Raichu1177 recorded pair observations · 0.37 pair observations per 100 analyzed battles
47.0%
Charizard
Charizard1152 recorded pair observations · 0.36 pair observations per 100 analyzed battles
49.9%
Gardevoir
Gardevoir1132 recorded pair observations · 0.35 pair observations per 100 analyzed battles
54.1%
Whimsicott
Whimsicott1116 recorded pair observations · 0.35 pair observations per 100 analyzed battles
46.6%
Maushold
Maushold1106 recorded pair observations · 0.34 pair observations per 100 analyzed battles
49.2%
Torkoal
Torkoal1097 recorded pair observations · 0.34 pair observations per 100 analyzed battles
53.4%
Armarouge
Armarouge1040 recorded pair observations · 0.32 pair observations per 100 analyzed battles
53.4%
Gholdengo
Gholdengo956 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom4689 recorded pair observations · 1.46 pair observations per 100 analyzed battles
48.5%
Sneasler
Sneasler4583 recorded pair observations · 1.42 pair observations per 100 analyzed battles
47.2%
Incineroar
Incineroar4105 recorded pair observations · 1.28 pair observations per 100 analyzed battles
49.5%
Garchomp
Garchomp3945 recorded pair observations · 1.23 pair observations per 100 analyzed battles
48.6%
Raichu
Raichu2883 recorded pair observations · 0.90 pair observations per 100 analyzed battles
48.8%
Archaludon
Archaludon2871 recorded pair observations · 0.89 pair observations per 100 analyzed battles
45.9%
Indeedee-F
Indeedee-F2641 recorded pair observations · 0.82 pair observations per 100 analyzed battles
49.0%
Kingambit
Kingambit2576 recorded pair observations · 0.80 pair observations per 100 analyzed battles
48.5%
Pelipper
Pelipper2476 recorded pair observations · 0.77 pair observations per 100 analyzed battles
46.2%
Farigiraf
Farigiraf2453 recorded pair observations · 0.76 pair observations per 100 analyzed battles
47.5%
Charizard
Charizard2452 recorded pair observations · 0.76 pair observations per 100 analyzed battles
45.4%
Golisopod
Golisopod2132 recorded pair observations · 0.66 pair observations per 100 analyzed battles
45.8%
Gholdengo
Gholdengo2048 recorded pair observations · 0.64 pair observations per 100 analyzed battles
49.6%
Whimsicott
Whimsicott1847 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.3%
Basculegion
Basculegion1750 recorded pair observations · 0.54 pair observations per 100 analyzed battles
46.3%
Salamence
Salamence1720 recorded pair observations · 0.53 pair observations per 100 analyzed battles
45.8%
Tyranitar
Tyranitar1570 recorded pair observations · 0.49 pair observations per 100 analyzed battles
49.1%
Sinistcha
Sinistcha1512 recorded pair observations · 0.47 pair observations per 100 analyzed battles
52.2%
Volcarona
Volcarona1372 recorded pair observations · 0.43 pair observations per 100 analyzed battles
51.0%
Milotic
Milotic1348 recorded pair observations · 0.42 pair observations per 100 analyzed battles
47.5%

Higher Win-rate Partners

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

Tinkaton
Tinkaton316 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.8%
Gardevoir
Gardevoir1132 recorded pair observations · 0.35 pair observations per 100 analyzed battles
54.1%
Delphox
Delphox1793 recorded pair observations · 0.56 pair observations per 100 analyzed battles
53.5%
Armarouge
Armarouge1040 recorded pair observations · 0.32 pair observations per 100 analyzed battles
53.4%
Torkoal
Torkoal1097 recorded pair observations · 0.34 pair observations per 100 analyzed battles
53.4%
Venusaur
Venusaur534 recorded pair observations · 0.17 pair observations per 100 analyzed battles
53.0%
Archaludon
Archaludon1796 recorded pair observations · 0.56 pair observations per 100 analyzed battles
52.7%
Farigiraf
Farigiraf3462 recorded pair observations · 1.08 pair observations per 100 analyzed battles
52.6%
Floette-Eternal
Floette-Eternal339 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.5%
Golisopod
Golisopod1506 recorded pair observations · 0.47 pair observations per 100 analyzed battles
52.2%

Lower Win-rate Partners

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

Pincurchin
Pincurchin485 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.3%
Sableye
Sableye434 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.3%
Grimmsnarl
Grimmsnarl416 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.7%
Kommo-o
Kommo-o523 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.7%
Metagross
Metagross527 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.8%
Typhlosion-Hisui
Typhlosion-Hisui326 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.8%
Lucario
Lucario364 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.0%
Alakazam
Alakazam405 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.7%
Clefable
Clefable483 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.0%
Gholdengo
Gholdengo956 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.3%

Higher Win-rate Opponent Teams

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

Talonflame
Talonflame360 recorded pair observations · 0.11 pair observations per 100 analyzed battles
56.9%
Metagross
Metagross730 recorded pair observations · 0.23 pair observations per 100 analyzed battles
55.2%
Maushold
Maushold306 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.9%
Corviknight
Corviknight416 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.8%
Delphox
Delphox538 recorded pair observations · 0.17 pair observations per 100 analyzed battles
53.5%
Dragapult
Dragapult380 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.4%
Camerupt
Camerupt407 recorded pair observations · 0.13 pair observations per 100 analyzed battles
53.3%
Lucario
Lucario506 recorded pair observations · 0.16 pair observations per 100 analyzed battles
53.2%
Kommo-o
Kommo-o706 recorded pair observations · 0.22 pair observations per 100 analyzed battles
52.5%
Sinistcha
Sinistcha1512 recorded pair observations · 0.47 pair observations per 100 analyzed battles
52.2%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F642 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.6%
Gardevoir
Gardevoir977 recorded pair observations · 0.30 pair observations per 100 analyzed battles
44.0%
Floette-Eternal
Floette-Eternal1042 recorded pair observations · 0.32 pair observations per 100 analyzed battles
44.2%
Venusaur
Venusaur1068 recorded pair observations · 0.33 pair observations per 100 analyzed battles
45.0%
Arcanine-Hisui
Arcanine-Hisui727 recorded pair observations · 0.23 pair observations per 100 analyzed battles
45.2%
Charizard
Charizard2452 recorded pair observations · 0.76 pair observations per 100 analyzed battles
45.4%
Golisopod
Golisopod2132 recorded pair observations · 0.66 pair observations per 100 analyzed battles
45.8%
Salamence
Salamence1720 recorded pair observations · 0.53 pair observations per 100 analyzed battles
45.8%
Archaludon
Archaludon2871 recorded pair observations · 0.89 pair observations per 100 analyzed battles
45.9%
Grimmsnarl
Grimmsnarl1090 recorded pair observations · 0.34 pair observations per 100 analyzed battles
45.9%