Last Updated: 10/26/2026 11:07 [UTC]

Rillaboom

Tier B

VGC 2026 Regulation M-C (Pokemon Champions)

31.23%Usage Rate
50.75%Win Rate
22.76%Lead Rate
56.86%Selection Rate
1293Avg Rating

201076 recorded team appearances · 102051 wins · 99025 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Fake Out Recorded use in 62893 of 201087 distinct recorded team appearances (31.3%) 31479 winning team uses of 62893 recorded team uses
50.1%
Grassy Glide Recorded use in 42446 of 201087 distinct recorded team appearances (21.1%) 22484 winning team uses of 42446 recorded team uses
53.0%
Wood Hammer Recorded use in 39299 of 201087 distinct recorded team appearances (19.5%) 20699 winning team uses of 39299 recorded team uses
52.7%
U-turn Recorded use in 18990 of 201087 distinct recorded team appearances (9.4%) 10052 winning team uses of 18990 recorded team uses
52.9%
High Horsepower Recorded use in 14862 of 201087 distinct recorded team appearances (7.4%) 7180 winning team uses of 14862 recorded team uses
48.3%
Protect Recorded use in 4360 of 201087 distinct recorded team appearances (2.2%) 2303 winning team uses of 4360 recorded team uses
52.8%
Knock Off Recorded use in 1107 of 201087 distinct recorded team appearances (0.6%) 460 winning team uses of 1107 recorded team uses
41.6%
Drum Beating Recorded use in 596 of 201087 distinct recorded team appearances (0.3%) 284 winning team uses of 596 recorded team uses
47.7%
Superpower Recorded use in 366 of 201087 distinct recorded team appearances (0.2%) 156 winning team uses of 366 recorded team uses
42.6%
Drain Punch Recorded use in 290 of 201087 distinct recorded team appearances (0.1%) 120 winning team uses of 290 recorded team uses
41.4%

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 32.71 50.54 160964 52652 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 30.41 50.82 160962 48943 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:24 UTC 31.58 50.66 160962 50836 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 30.22 51.02 160962 48645 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 26.16 52.11 128104 33508 Observed
~R1208 28.97 51.12 129166 37417 Observed
~R1302 31.65 51.10 126962 40181 Observed
~R1405 34.38 50.39 130626 44909 Observed
R1405~ 34.93 49.49 128992 45061 Observed

Rillaboom Observed Statistics

Performance Metrics

Rillaboom has a reported usage rate of 31.23% and win rate of 50.75% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: B). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,925 recorded battles. 102,051 wins and 99,025 losses (201,076 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 32.71% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,964 team slots) and 30.22% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,962 team slots), a change of -2.49 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 50.54% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=52,652 recorded appearances) and 51.02% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=48,645 recorded appearances), a change of +0.48 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 26.16% (~R1129; n=128,104 team slots) to 34.93% (R1405~; n=128,992 team slots), a spread of 8.77 percentage points. Overall usage was 31.23%. 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, Fake Out has the largest recorded team-use count (62,893; 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: Incineroar: 51.0% wins in 84,393 recorded pair observations; Sneasler: 51.2% wins in 60,196 recorded pair observations; Raichu: 52.0% wins in 54,136 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: Maushold: 57.6% wins in 4,079 recorded pair observations; Rotom-Wash: 57.5% wins in 3,786 recorded pair observations; Clefable: 57.3% wins in 2,754 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 44.8% wins in 9,556 recorded pair observations; Venusaur: 47.7% wins in 15,544 recorded pair observations; Floette-Eternal: 47.8% wins in 15,024 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%

Incineroar
Incineroar84393 recorded pair observations · 26.22 pair observations per 100 analyzed battles
51.0%
Sneasler
Sneasler60196 recorded pair observations · 18.70 pair observations per 100 analyzed battles
51.2%
Raichu
Raichu54136 recorded pair observations · 16.82 pair observations per 100 analyzed battles
52.0%
Garchomp
Garchomp52805 recorded pair observations · 16.40 pair observations per 100 analyzed battles
51.0%
Gholdengo
Gholdengo48375 recorded pair observations · 15.03 pair observations per 100 analyzed battles
51.4%
Kingambit
Kingambit42037 recorded pair observations · 13.06 pair observations per 100 analyzed battles
52.2%
Volcarona
Volcarona37155 recorded pair observations · 11.54 pair observations per 100 analyzed battles
51.3%
Salamence
Salamence36825 recorded pair observations · 11.44 pair observations per 100 analyzed battles
52.3%
Basculegion
Basculegion28577 recorded pair observations · 8.88 pair observations per 100 analyzed battles
52.2%
Floette-Eternal
Floette-Eternal25954 recorded pair observations · 8.06 pair observations per 100 analyzed battles
52.8%
Farigiraf
Farigiraf24832 recorded pair observations · 7.71 pair observations per 100 analyzed battles
50.7%
Archaludon
Archaludon22128 recorded pair observations · 6.87 pair observations per 100 analyzed battles
51.7%
Gengar
Gengar20465 recorded pair observations · 6.36 pair observations per 100 analyzed battles
50.3%
Milotic
Milotic20110 recorded pair observations · 6.25 pair observations per 100 analyzed battles
51.3%
Arcanine-Hisui
Arcanine-Hisui19327 recorded pair observations · 6.00 pair observations per 100 analyzed battles
52.5%
Pelipper
Pelipper17597 recorded pair observations · 5.47 pair observations per 100 analyzed battles
50.8%
Primarina
Primarina17312 recorded pair observations · 5.38 pair observations per 100 analyzed battles
51.8%
Froslass
Froslass16356 recorded pair observations · 5.08 pair observations per 100 analyzed battles
52.2%
Charizard
Charizard16126 recorded pair observations · 5.01 pair observations per 100 analyzed battles
49.9%
Sylveon
Sylveon14794 recorded pair observations · 4.60 pair observations per 100 analyzed battles
52.1%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom63530 recorded pair observations · 19.73 pair observations per 100 analyzed battles
50.0%
Sneasler
Sneasler61755 recorded pair observations · 19.18 pair observations per 100 analyzed battles
49.0%
Incineroar
Incineroar55329 recorded pair observations · 17.19 pair observations per 100 analyzed battles
49.9%
Garchomp
Garchomp53584 recorded pair observations · 16.64 pair observations per 100 analyzed battles
49.4%
Archaludon
Archaludon39443 recorded pair observations · 12.25 pair observations per 100 analyzed battles
48.7%
Raichu
Raichu38616 recorded pair observations · 12.00 pair observations per 100 analyzed battles
49.3%
Indeedee-F
Indeedee-F35090 recorded pair observations · 10.90 pair observations per 100 analyzed battles
51.9%
Kingambit
Kingambit35086 recorded pair observations · 10.90 pair observations per 100 analyzed battles
48.4%
Charizard
Charizard35015 recorded pair observations · 10.88 pair observations per 100 analyzed battles
49.1%
Farigiraf
Farigiraf34268 recorded pair observations · 10.64 pair observations per 100 analyzed battles
49.1%
Pelipper
Pelipper33730 recorded pair observations · 10.48 pair observations per 100 analyzed battles
48.9%
Golisopod
Golisopod29338 recorded pair observations · 9.11 pair observations per 100 analyzed battles
48.8%
Gholdengo
Gholdengo26192 recorded pair observations · 8.14 pair observations per 100 analyzed battles
50.4%
Whimsicott
Whimsicott24133 recorded pair observations · 7.50 pair observations per 100 analyzed battles
51.7%
Basculegion
Basculegion23897 recorded pair observations · 7.42 pair observations per 100 analyzed battles
49.1%
Salamence
Salamence22497 recorded pair observations · 6.99 pair observations per 100 analyzed battles
49.3%
Tyranitar
Tyranitar19478 recorded pair observations · 6.05 pair observations per 100 analyzed battles
52.2%
Sinistcha
Sinistcha18454 recorded pair observations · 5.73 pair observations per 100 analyzed battles
53.1%
Volcarona
Volcarona17800 recorded pair observations · 5.53 pair observations per 100 analyzed battles
49.9%
Sylveon
Sylveon17596 recorded pair observations · 5.47 pair observations per 100 analyzed battles
48.7%

Higher Win-rate Partners

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

Camerupt
Camerupt5311 recorded pair observations · 1.65 pair observations per 100 analyzed battles
54.1%
Floette-Eternal
Floette-Eternal25954 recorded pair observations · 8.06 pair observations per 100 analyzed battles
52.8%
Arcanine-Hisui
Arcanine-Hisui19327 recorded pair observations · 6.00 pair observations per 100 analyzed battles
52.5%
Delphox
Delphox5804 recorded pair observations · 1.80 pair observations per 100 analyzed battles
52.5%
Salamence
Salamence36825 recorded pair observations · 11.44 pair observations per 100 analyzed battles
52.3%
Basculegion
Basculegion28577 recorded pair observations · 8.88 pair observations per 100 analyzed battles
52.2%
Froslass
Froslass16356 recorded pair observations · 5.08 pair observations per 100 analyzed battles
52.2%
Kingambit
Kingambit42037 recorded pair observations · 13.06 pair observations per 100 analyzed battles
52.2%
Sylveon
Sylveon14794 recorded pair observations · 4.60 pair observations per 100 analyzed battles
52.1%
Raichu
Raichu54136 recorded pair observations · 16.82 pair observations per 100 analyzed battles
52.0%

Lower Win-rate Partners

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

Clefable
Clefable2676 recorded pair observations · 0.83 pair observations per 100 analyzed battles
44.4%
Sinistcha
Sinistcha4497 recorded pair observations · 1.40 pair observations per 100 analyzed battles
45.5%
Maushold
Maushold3075 recorded pair observations · 0.96 pair observations per 100 analyzed battles
45.6%
Corviknight
Corviknight2244 recorded pair observations · 0.70 pair observations per 100 analyzed battles
45.7%
Rotom-Wash
Rotom-Wash2313 recorded pair observations · 0.72 pair observations per 100 analyzed battles
46.0%
Absol
Absol2560 recorded pair observations · 0.80 pair observations per 100 analyzed battles
46.6%
Drampa
Drampa2230 recorded pair observations · 0.69 pair observations per 100 analyzed battles
47.5%
Hippowdon
Hippowdon2810 recorded pair observations · 0.87 pair observations per 100 analyzed battles
47.6%
Talonflame
Talonflame3449 recorded pair observations · 1.07 pair observations per 100 analyzed battles
48.0%
Blastoise
Blastoise3535 recorded pair observations · 1.10 pair observations per 100 analyzed battles
48.1%

Higher Win-rate Opponent Teams

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

Maushold
Maushold4079 recorded pair observations · 1.27 pair observations per 100 analyzed battles
57.6%
Rotom-Wash
Rotom-Wash3786 recorded pair observations · 1.18 pair observations per 100 analyzed battles
57.5%
Clefable
Clefable2754 recorded pair observations · 0.86 pair observations per 100 analyzed battles
57.3%
Alakazam
Alakazam2836 recorded pair observations · 0.88 pair observations per 100 analyzed battles
56.2%
Meowscarada
Meowscarada2225 recorded pair observations · 0.69 pair observations per 100 analyzed battles
56.1%
Sceptile
Sceptile3942 recorded pair observations · 1.22 pair observations per 100 analyzed battles
56.0%
Aerodactyl
Aerodactyl5580 recorded pair observations · 1.73 pair observations per 100 analyzed battles
54.9%
Rotom-Heat
Rotom-Heat3747 recorded pair observations · 1.16 pair observations per 100 analyzed battles
54.7%
Absol
Absol3696 recorded pair observations · 1.15 pair observations per 100 analyzed battles
54.5%
Espathra
Espathra4133 recorded pair observations · 1.28 pair observations per 100 analyzed battles
54.4%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F9556 recorded pair observations · 2.97 pair observations per 100 analyzed battles
44.8%
Venusaur
Venusaur15544 recorded pair observations · 4.83 pair observations per 100 analyzed battles
47.7%
Floette-Eternal
Floette-Eternal15024 recorded pair observations · 4.67 pair observations per 100 analyzed battles
47.8%
Glimmora
Glimmora8771 recorded pair observations · 2.72 pair observations per 100 analyzed battles
48.2%
Kommo-o
Kommo-o9247 recorded pair observations · 2.87 pair observations per 100 analyzed battles
48.2%
Kingambit
Kingambit35086 recorded pair observations · 10.90 pair observations per 100 analyzed battles
48.4%
Archaludon
Archaludon39443 recorded pair observations · 12.25 pair observations per 100 analyzed battles
48.7%
Sylveon
Sylveon17596 recorded pair observations · 5.47 pair observations per 100 analyzed battles
48.7%
Delphox
Delphox6996 recorded pair observations · 2.17 pair observations per 100 analyzed battles
48.8%
Froslass
Froslass9791 recorded pair observations · 3.04 pair observations per 100 analyzed battles
48.8%