Last Updated: 10/10/2026 14:11 [UTC]

Raging Bolt

Tier B

OU (Over Used)

11.36%Usage Rate
54.30%Win Rate
8.44%Lead Rate
1305Avg Rating

33905 recorded team appearances · 18410 wins · 15495 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Thunderclap Recorded use in 9101 of 33906 distinct recorded team appearances (26.8%) 4764 winning team uses of 9101 recorded team uses
52.3%
Thunderbolt Recorded use in 7433 of 33906 distinct recorded team appearances (21.9%) 4243 winning team uses of 7433 recorded team uses
57.1%
Dragon Pulse Recorded use in 6795 of 33906 distinct recorded team appearances (20.0%) 3699 winning team uses of 6795 recorded team uses
54.4%
Calm Mind Recorded use in 5108 of 33906 distinct recorded team appearances (15.1%) 2608 winning team uses of 5108 recorded team uses
51.1%
Draco Meteor Recorded use in 4928 of 33906 distinct recorded team appearances (14.5%) 2517 winning team uses of 4928 recorded team uses
51.1%
Volt Switch Recorded use in 3694 of 33906 distinct recorded team appearances (10.9%) 2033 winning team uses of 3694 recorded team uses
55.0%
Weather Ball Recorded use in 1897 of 33906 distinct recorded team appearances (5.6%) 1088 winning team uses of 1897 recorded team uses
57.4%
Thunder Recorded use in 1266 of 33906 distinct recorded team appearances (3.7%) 698 winning team uses of 1266 recorded team uses
55.1%
Discharge Recorded use in 473 of 33906 distinct recorded team appearances (1.4%) 252 winning team uses of 473 recorded team uses
53.3%
Substitute Recorded use in 227 of 33906 distinct recorded team appearances (0.7%) 118 winning team uses of 227 recorded team uses
52.0%

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: 2026/09/26 23:07–2026/09/30 15:45 JST 10.59 53.30 74640 7904 Observed
Period 2: 2026/09/30 15:45–2026/10/03 23:48 JST 11.13 54.08 74640 8306 Observed
Period 3: 2026/10/03 23:48–2026/10/07 09:55 JST 11.73 54.26 74640 8756 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST 11.98 55.42 74640 8939 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 6.30 60.69 60196 3793 Observed
~R1156 8.50 57.01 59416 5048 Observed
~R1268 11.50 54.46 59484 6843 Observed
~R1398 13.73 52.08 59960 8232 Observed
R1398~ 16.79 52.22 59504 9989 Observed

Raging Bolt Observed Statistics

Performance Metrics

Raging Bolt has a reported usage rate of 11.36% and win rate of 54.30% in OU (Over Used) (displayed tier: B). The report covers 09/26/2026 to 10/10/2026, with 149,280 recorded battles. 18,410 wins and 15,495 losses (33,905 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 10.59% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,640 team slots) and 11.98% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=74,640 team slots), a change of +1.39 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 53.30% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=7,904 recorded appearances) and 55.42% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=8,939 recorded appearances), a change of +2.12 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 6.30% (~R1084; n=60,196 team slots) to 16.79% (R1398~; n=59,504 team slots), a spread of 10.49 percentage points. Overall usage was 11.36%. 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, Thunderclap has the largest recorded team-use count (9,101; 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: Great Tusk: 54.0% wins in 12,245 recorded pair observations; Kingambit: 56.1% wins in 8,746 recorded pair observations; Ogerpon-Wellspring: 55.4% wins in 8,084 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: Zoroark-Hisui: 63.5% wins in 389 recorded pair observations; Metagross: 62.2% wins in 381 recorded pair observations; Arcanine-Hisui: 60.0% wins in 443 recorded pair observations. Returned lower-win-rate opponent group: Cresselia: 48.5% wins in 950 recorded pair observations; Zamazenta-*: 49.2% wins in 5,032 recorded pair observations; Ogerpon-Cornerstone: 49.6% wins in 544 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%

Great Tusk
Great Tusk12245 recorded pair observations · 8.20 pair observations per 100 analyzed battles
54.0%
Kingambit
Kingambit8746 recorded pair observations · 5.86 pair observations per 100 analyzed battles
56.1%
Ogerpon-Wellspring
Ogerpon-Wellspring8084 recorded pair observations · 5.42 pair observations per 100 analyzed battles
55.4%
Gholdengo
Gholdengo6275 recorded pair observations · 4.20 pair observations per 100 analyzed battles
54.8%
Iron Treads
Iron Treads5653 recorded pair observations · 3.79 pair observations per 100 analyzed battles
55.5%
Zamazenta-*
Zamazenta-*5410 recorded pair observations · 3.62 pair observations per 100 analyzed battles
58.1%
Hatterene
Hatterene5074 recorded pair observations · 3.40 pair observations per 100 analyzed battles
55.6%
Pelipper
Pelipper4638 recorded pair observations · 3.11 pair observations per 100 analyzed battles
55.7%
Iron Moth
Iron Moth4423 recorded pair observations · 2.96 pair observations per 100 analyzed battles
57.5%
Iron Valiant
Iron Valiant4337 recorded pair observations · 2.91 pair observations per 100 analyzed battles
53.9%
Walking Wake
Walking Wake4122 recorded pair observations · 2.76 pair observations per 100 analyzed battles
54.9%
Corviknight
Corviknight3898 recorded pair observations · 2.61 pair observations per 100 analyzed battles
52.3%
Gliscor
Gliscor3628 recorded pair observations · 2.43 pair observations per 100 analyzed battles
54.6%
Ceruledge
Ceruledge3509 recorded pair observations · 2.35 pair observations per 100 analyzed battles
52.9%
Glimmora
Glimmora3433 recorded pair observations · 2.30 pair observations per 100 analyzed battles
54.9%
Cinderace
Cinderace3065 recorded pair observations · 2.05 pair observations per 100 analyzed battles
53.5%
Torkoal
Torkoal3017 recorded pair observations · 2.02 pair observations per 100 analyzed battles
54.1%
Rillaboom
Rillaboom2971 recorded pair observations · 1.99 pair observations per 100 analyzed battles
53.2%
Landorus-Therian
Landorus-Therian2909 recorded pair observations · 1.95 pair observations per 100 analyzed battles
53.8%
Barraskewda
Barraskewda2886 recorded pair observations · 1.93 pair observations per 100 analyzed battles
54.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk9710 recorded pair observations · 6.50 pair observations per 100 analyzed battles
52.1%
Gholdengo
Gholdengo7305 recorded pair observations · 4.89 pair observations per 100 analyzed battles
54.5%
Kingambit
Kingambit6945 recorded pair observations · 4.65 pair observations per 100 analyzed battles
52.7%
Ogerpon-Wellspring
Ogerpon-Wellspring5042 recorded pair observations · 3.38 pair observations per 100 analyzed battles
52.3%
Zamazenta-*
Zamazenta-*5032 recorded pair observations · 3.37 pair observations per 100 analyzed battles
49.2%
Dragonite
Dragonite4949 recorded pair observations · 3.32 pair observations per 100 analyzed battles
52.4%
Iron Valiant
Iron Valiant4691 recorded pair observations · 3.14 pair observations per 100 analyzed battles
52.2%
Dragapult
Dragapult4579 recorded pair observations · 3.07 pair observations per 100 analyzed battles
53.5%
Gliscor
Gliscor4433 recorded pair observations · 2.97 pair observations per 100 analyzed battles
54.9%
Corviknight
Corviknight4290 recorded pair observations · 2.87 pair observations per 100 analyzed battles
55.8%
Raging Bolt
Raging Bolt4268 recorded pair observations · 2.86 pair observations per 100 analyzed battles
50.0%
Hatterene
Hatterene4045 recorded pair observations · 2.71 pair observations per 100 analyzed battles
51.6%
Slowking-Galar
Slowking-Galar4023 recorded pair observations · 2.69 pair observations per 100 analyzed battles
51.2%
Cinderace
Cinderace3875 recorded pair observations · 2.60 pair observations per 100 analyzed battles
54.4%
Samurott-Hisui
Samurott-Hisui3552 recorded pair observations · 2.38 pair observations per 100 analyzed battles
52.6%
Landorus-Therian
Landorus-Therian3544 recorded pair observations · 2.37 pair observations per 100 analyzed battles
51.0%
Alomomola
Alomomola3440 recorded pair observations · 2.30 pair observations per 100 analyzed battles
54.1%
Kyurem
Kyurem3399 recorded pair observations · 2.28 pair observations per 100 analyzed battles
51.1%
Iron Treads
Iron Treads3336 recorded pair observations · 2.23 pair observations per 100 analyzed battles
50.9%
Darkrai
Darkrai3023 recorded pair observations · 2.03 pair observations per 100 analyzed battles
53.1%

Higher Win-rate Partners

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

Slither Wing
Slither Wing1026 recorded pair observations · 0.69 pair observations per 100 analyzed battles
61.6%
Cresselia
Cresselia1605 recorded pair observations · 1.08 pair observations per 100 analyzed battles
61.2%
Ninetales-Alola
Ninetales-Alola472 recorded pair observations · 0.32 pair observations per 100 analyzed battles
59.5%
Manaphy
Manaphy456 recorded pair observations · 0.31 pair observations per 100 analyzed battles
59.0%
Kingdra
Kingdra728 recorded pair observations · 0.49 pair observations per 100 analyzed battles
58.8%
Tornadus-Therian
Tornadus-Therian881 recorded pair observations · 0.59 pair observations per 100 analyzed battles
58.1%
Zamazenta-*
Zamazenta-*5410 recorded pair observations · 3.62 pair observations per 100 analyzed battles
58.1%
Ogerpon-Cornerstone
Ogerpon-Cornerstone1013 recorded pair observations · 0.68 pair observations per 100 analyzed battles
58.0%
Araquanid
Araquanid939 recorded pair observations · 0.63 pair observations per 100 analyzed battles
57.9%
Overqwil
Overqwil1112 recorded pair observations · 0.74 pair observations per 100 analyzed battles
57.9%

Lower Win-rate Partners

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

Weavile
Weavile538 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.6%
Pawmot
Pawmot344 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.5%
Zapdos-Galar
Zapdos-Galar339 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.0%
Quaquaval
Quaquaval462 recorded pair observations · 0.31 pair observations per 100 analyzed battles
49.4%
Toxapex
Toxapex355 recorded pair observations · 0.24 pair observations per 100 analyzed battles
49.6%
Lokix
Lokix882 recorded pair observations · 0.59 pair observations per 100 analyzed battles
49.8%
Skeledirge
Skeledirge354 recorded pair observations · 0.24 pair observations per 100 analyzed battles
50.9%
Dragapult
Dragapult2560 recorded pair observations · 1.71 pair observations per 100 analyzed battles
51.0%
Garchomp
Garchomp625 recorded pair observations · 0.42 pair observations per 100 analyzed battles
51.0%
Gengar
Gengar366 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.1%

Higher Win-rate Opponent Teams

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

Zoroark-Hisui
Zoroark-Hisui389 recorded pair observations · 0.26 pair observations per 100 analyzed battles
63.5%
Metagross
Metagross381 recorded pair observations · 0.26 pair observations per 100 analyzed battles
62.2%
Arcanine-Hisui
Arcanine-Hisui443 recorded pair observations · 0.30 pair observations per 100 analyzed battles
60.0%
Rotom-Wash
Rotom-Wash780 recorded pair observations · 0.52 pair observations per 100 analyzed battles
59.9%
Quaquaval
Quaquaval554 recorded pair observations · 0.37 pair observations per 100 analyzed battles
59.8%
Barraskewda
Barraskewda804 recorded pair observations · 0.54 pair observations per 100 analyzed battles
59.5%
Blaziken
Blaziken982 recorded pair observations · 0.66 pair observations per 100 analyzed battles
59.4%
Cloyster
Cloyster382 recorded pair observations · 0.26 pair observations per 100 analyzed battles
58.9%
Regieleki
Regieleki389 recorded pair observations · 0.26 pair observations per 100 analyzed battles
58.9%
Mimikyu
Mimikyu429 recorded pair observations · 0.29 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%

Cresselia
Cresselia950 recorded pair observations · 0.64 pair observations per 100 analyzed battles
48.5%
Zamazenta-*
Zamazenta-*5032 recorded pair observations · 3.37 pair observations per 100 analyzed battles
49.2%
Ogerpon-Cornerstone
Ogerpon-Cornerstone544 recorded pair observations · 0.36 pair observations per 100 analyzed battles
49.6%
Manaphy
Manaphy359 recorded pair observations · 0.24 pair observations per 100 analyzed battles
49.9%
Ribombee
Ribombee687 recorded pair observations · 0.46 pair observations per 100 analyzed battles
49.9%
Excadrill
Excadrill971 recorded pair observations · 0.65 pair observations per 100 analyzed battles
50.0%
Raging Bolt
Raging Bolt4268 recorded pair observations · 2.86 pair observations per 100 analyzed battles
50.0%
Iron Moth
Iron Moth2475 recorded pair observations · 1.66 pair observations per 100 analyzed battles
50.2%
Ninetales-Alola
Ninetales-Alola781 recorded pair observations · 0.52 pair observations per 100 analyzed battles
50.6%
Ogerpon
Ogerpon1394 recorded pair observations · 0.93 pair observations per 100 analyzed battles
50.7%