Last Updated: 10/26/2026 11:04 [UTC]

Rillaboom

Tier E

BSS Regulation M-C (Pokemon Champions)

8.41%Usage Rate
47.74%Win Rate
14.03%Lead Rate
32.02%Selection Rate
1181Avg Rating

4219 recorded team appearances · 2014 wins · 2205 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Grassy Glide Recorded use in 645 of 4219 distinct recorded team appearances (15.3%) 335 winning team uses of 645 recorded team uses
51.9%
U-turn Recorded use in 377 of 4219 distinct recorded team appearances (8.9%) 184 winning team uses of 377 recorded team uses
48.8%
Wood Hammer Recorded use in 245 of 4219 distinct recorded team appearances (5.8%) 125 winning team uses of 245 recorded team uses
51.0%
High Horsepower Recorded use in 238 of 4219 distinct recorded team appearances (5.6%) 94 winning team uses of 238 recorded team uses
39.5%
Drum Beating Recorded use in 202 of 4219 distinct recorded team appearances (4.8%) 99 winning team uses of 202 recorded team uses
49.0%
Knock Off Recorded use in 143 of 4219 distinct recorded team appearances (3.4%) 66 winning team uses of 143 recorded team uses
46.2%
Fake Out Recorded use in 138 of 4219 distinct recorded team appearances (3.3%) 49 winning team uses of 138 recorded team uses
35.5%
Swords Dance Recorded use in 35 of 4219 distinct recorded team appearances (0.8%) 18 winning team uses of 35 recorded team uses
51.4%
Drain Punch Recorded use in 18 of 4219 distinct recorded team appearances (0.4%) 6 winning team uses of 18 recorded team uses
33.3%
Taunt Recorded use in 17 of 4219 distinct recorded team appearances (0.4%) 8 winning team uses of 17 recorded team uses
47.1%

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 7.25 46.09 12542 909 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 9.27 48.07 12542 1163 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 9.04 48.59 12542 1134 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 8.08 47.88 12540 1013 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 10.40 42.82 9968 1037 Observed
~R1142 8.07 48.76 9958 804 Observed
~R1208 7.61 50.46 10104 769 Observed
~R1298 7.83 50.32 10004 783 Observed
R1298~ 8.15 47.94 10132 826 Observed

Rillaboom Observed Statistics

Performance Metrics

Rillaboom has a reported usage rate of 8.41% and win rate of 47.74% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 2,014 wins and 2,205 losses (4,219 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 7.25% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 8.08% 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 +0.83 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 46.09% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=909 recorded appearances) and 47.88% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=1,013 recorded appearances), a change of +1.79 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 7.61% (~R1208; n=10,104 team slots) to 10.40% (~R1089; n=9,968 team slots), a spread of 2.79 percentage points. Overall usage was 8.41%. 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, Grassy Glide has the largest recorded team-use count (645; 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: 51.3% wins in 1,178 recorded pair observations; Lucario: 51.9% wins in 940 recorded pair observations; Primarina: 53.9% wins in 910 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: Indeedee-F: 66.2% wins in 65 recorded pair observations; Whimsicott: 65.6% wins in 64 recorded pair observations; Barbaracle: 65.2% wins in 178 recorded pair observations. Returned lower-win-rate opponent group: Bellibolt: 34.2% wins in 73 recorded pair observations; Palafin: 34.2% wins in 73 recorded pair observations; Zoroark-Hisui: 36.5% wins in 85 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
Garchomp1178 recorded pair observations · 4.70 pair observations per 100 analyzed battles
51.3%
Lucario
Lucario940 recorded pair observations · 3.75 pair observations per 100 analyzed battles
51.9%
Primarina
Primarina910 recorded pair observations · 3.63 pair observations per 100 analyzed battles
53.9%
Salamence
Salamence899 recorded pair observations · 3.58 pair observations per 100 analyzed battles
47.4%
Archaludon
Archaludon777 recorded pair observations · 3.10 pair observations per 100 analyzed battles
55.6%
Basculegion
Basculegion767 recorded pair observations · 3.06 pair observations per 100 analyzed battles
53.5%
Golisopod
Golisopod734 recorded pair observations · 2.93 pair observations per 100 analyzed battles
51.9%
Gholdengo
Gholdengo651 recorded pair observations · 2.60 pair observations per 100 analyzed battles
43.8%
Baxcalibur
Baxcalibur493 recorded pair observations · 1.97 pair observations per 100 analyzed battles
50.3%
Hippowdon
Hippowdon487 recorded pair observations · 1.94 pair observations per 100 analyzed battles
51.1%
Charizard
Charizard469 recorded pair observations · 1.87 pair observations per 100 analyzed battles
47.8%
Pelipper
Pelipper397 recorded pair observations · 1.58 pair observations per 100 analyzed battles
52.6%
Corviknight
Corviknight394 recorded pair observations · 1.57 pair observations per 100 analyzed battles
45.9%
Raichu
Raichu373 recorded pair observations · 1.49 pair observations per 100 analyzed battles
42.9%
Glimmora
Glimmora370 recorded pair observations · 1.48 pair observations per 100 analyzed battles
53.5%
Rotom-Wash
Rotom-Wash326 recorded pair observations · 1.30 pair observations per 100 analyzed battles
48.5%
Incineroar
Incineroar309 recorded pair observations · 1.23 pair observations per 100 analyzed battles
37.2%
Rotom-Heat
Rotom-Heat308 recorded pair observations · 1.23 pair observations per 100 analyzed battles
49.4%
Sneasler
Sneasler306 recorded pair observations · 1.22 pair observations per 100 analyzed battles
40.9%
Floette-Eternal
Floette-Eternal305 recorded pair observations · 1.22 pair observations per 100 analyzed battles
55.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1344 recorded pair observations · 5.36 pair observations per 100 analyzed battles
44.4%
Primarina
Primarina992 recorded pair observations · 3.95 pair observations per 100 analyzed battles
44.8%
Archaludon
Archaludon852 recorded pair observations · 3.40 pair observations per 100 analyzed battles
43.5%
Gholdengo
Gholdengo789 recorded pair observations · 3.15 pair observations per 100 analyzed battles
44.0%
Hippowdon
Hippowdon759 recorded pair observations · 3.03 pair observations per 100 analyzed battles
48.4%
Salamence
Salamence716 recorded pair observations · 2.85 pair observations per 100 analyzed battles
47.2%
Mimikyu
Mimikyu714 recorded pair observations · 2.85 pair observations per 100 analyzed battles
42.6%
Golisopod
Golisopod636 recorded pair observations · 2.54 pair observations per 100 analyzed battles
43.4%
Corviknight
Corviknight624 recorded pair observations · 2.49 pair observations per 100 analyzed battles
47.3%
Basculegion
Basculegion567 recorded pair observations · 2.26 pair observations per 100 analyzed battles
40.2%
Kingambit
Kingambit486 recorded pair observations · 1.94 pair observations per 100 analyzed battles
53.3%
Lucario
Lucario485 recorded pair observations · 1.93 pair observations per 100 analyzed battles
44.5%
Charizard
Charizard467 recorded pair observations · 1.86 pair observations per 100 analyzed battles
47.3%
Baxcalibur
Baxcalibur434 recorded pair observations · 1.73 pair observations per 100 analyzed battles
41.0%
Meowscarada
Meowscarada408 recorded pair observations · 1.63 pair observations per 100 analyzed battles
48.0%
Metagross
Metagross400 recorded pair observations · 1.59 pair observations per 100 analyzed battles
39.8%
Dragonite
Dragonite399 recorded pair observations · 1.59 pair observations per 100 analyzed battles
44.1%
Rillaboom
Rillaboom386 recorded pair observations · 1.54 pair observations per 100 analyzed battles
50.0%
Floette-Eternal
Floette-Eternal377 recorded pair observations · 1.50 pair observations per 100 analyzed battles
47.0%
Gyarados
Gyarados369 recorded pair observations · 1.47 pair observations per 100 analyzed battles
53.4%

Higher Win-rate Partners

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

Forretress
Forretress111 recorded pair observations · 0.44 pair observations per 100 analyzed battles
58.6%
Pawmot
Pawmot179 recorded pair observations · 0.71 pair observations per 100 analyzed battles
56.4%
Archaludon
Archaludon777 recorded pair observations · 3.10 pair observations per 100 analyzed battles
55.6%
Floette-Eternal
Floette-Eternal305 recorded pair observations · 1.22 pair observations per 100 analyzed battles
55.4%
Empoleon
Empoleon127 recorded pair observations · 0.51 pair observations per 100 analyzed battles
55.1%
Cinderace
Cinderace217 recorded pair observations · 0.87 pair observations per 100 analyzed battles
53.9%
Primarina
Primarina910 recorded pair observations · 3.63 pair observations per 100 analyzed battles
53.9%
Basculegion
Basculegion767 recorded pair observations · 3.06 pair observations per 100 analyzed battles
53.5%
Glimmora
Glimmora370 recorded pair observations · 1.48 pair observations per 100 analyzed battles
53.5%
Pelipper
Pelipper397 recorded pair observations · 1.58 pair observations per 100 analyzed battles
52.6%

Lower Win-rate Partners

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

Milotic
Milotic68 recorded pair observations · 0.27 pair observations per 100 analyzed battles
23.5%
Talonflame
Talonflame49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
26.5%
Gardevoir
Gardevoir74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
35.1%
Sylveon
Sylveon81 recorded pair observations · 0.32 pair observations per 100 analyzed battles
35.8%
Volcarona
Volcarona239 recorded pair observations · 0.95 pair observations per 100 analyzed battles
36.0%
Excadrill
Excadrill62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
37.1%
Incineroar
Incineroar309 recorded pair observations · 1.23 pair observations per 100 analyzed battles
37.2%
Ceruledge
Ceruledge98 recorded pair observations · 0.39 pair observations per 100 analyzed battles
39.8%
Aerodactyl
Aerodactyl62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
40.3%
Gliscor
Gliscor47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
40.4%

Higher Win-rate Opponent Teams

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

Indeedee-F
Indeedee-F65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
66.2%
Whimsicott
Whimsicott64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
65.6%
Barbaracle
Barbaracle178 recorded pair observations · 0.71 pair observations per 100 analyzed battles
65.2%
Eelektross
Eelektross43 recorded pair observations · 0.17 pair observations per 100 analyzed battles
62.8%
Krookodile
Krookodile43 recorded pair observations · 0.17 pair observations per 100 analyzed battles
62.8%
Armarouge
Armarouge61 recorded pair observations · 0.24 pair observations per 100 analyzed battles
62.3%
Scizor
Scizor349 recorded pair observations · 1.39 pair observations per 100 analyzed battles
61.9%
Gardevoir
Gardevoir51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
60.8%
Incineroar
Incineroar98 recorded pair observations · 0.39 pair observations per 100 analyzed battles
59.2%
Alakazam
Alakazam48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
58.3%

Lower Win-rate Opponent Teams

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

Bellibolt
Bellibolt73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
34.2%
Palafin
Palafin73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
34.2%
Zoroark-Hisui
Zoroark-Hisui85 recorded pair observations · 0.34 pair observations per 100 analyzed battles
36.5%
Empoleon
Empoleon69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
37.7%
Arcanine-Hisui
Arcanine-Hisui67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
38.8%
Metagross
Metagross400 recorded pair observations · 1.59 pair observations per 100 analyzed battles
39.8%
Basculegion
Basculegion567 recorded pair observations · 2.26 pair observations per 100 analyzed battles
40.2%
Kangaskhan
Kangaskhan54 recorded pair observations · 0.22 pair observations per 100 analyzed battles
40.7%
Baxcalibur
Baxcalibur434 recorded pair observations · 1.73 pair observations per 100 analyzed battles
41.0%
Vanilluxe
Vanilluxe46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
41.3%