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

Raichu

Tier D

BSS Regulation M-C (Pokemon Champions)

6.18%Usage Rate
48.97%Win Rate
18.42%Lead Rate
43.42%Selection Rate
1188Avg Rating

3100 recorded team appearances · 1518 wins · 1582 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Zap Cannon Recorded use in 760 of 3100 distinct recorded team appearances (24.5%) 432 winning team uses of 760 recorded team uses
56.8%
Focus Blast Recorded use in 389 of 3100 distinct recorded team appearances (12.5%) 209 winning team uses of 389 recorded team uses
53.7%
Fake Out Recorded use in 188 of 3100 distinct recorded team appearances (6.1%) 80 winning team uses of 188 recorded team uses
42.6%
Volt Switch Recorded use in 137 of 3100 distinct recorded team appearances (4.4%) 76 winning team uses of 137 recorded team uses
55.5%
Substitute Recorded use in 132 of 3100 distinct recorded team appearances (4.3%) 71 winning team uses of 132 recorded team uses
53.8%
Grass Knot Recorded use in 120 of 3100 distinct recorded team appearances (3.9%) 63 winning team uses of 120 recorded team uses
52.5%
Alluring Voice Recorded use in 39 of 3100 distinct recorded team appearances (1.3%) 21 winning team uses of 39 recorded team uses
53.8%
Protect Recorded use in 31 of 3100 distinct recorded team appearances (1.0%) 14 winning team uses of 31 recorded team uses
45.2%
Encore Recorded use in 29 of 3100 distinct recorded team appearances (0.9%) 19 winning team uses of 29 recorded team uses
65.5%
Nasty Plot Recorded use in 24 of 3100 distinct recorded team appearances (0.8%) 12 winning team uses of 24 recorded team uses
50.0%

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: 2026/10/12 11:01–2026/10/15 12:54 UTC 5.32 49.93 12542 667 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 5.09 49.61 12542 639 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 6.29 46.89 12542 789 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 8.01 49.55 12540 1005 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 6.87 47.88 9968 685 Observed
~R1142 5.96 46.88 9958 593 Observed
~R1208 5.66 51.75 10104 572 Observed
~R1298 6.67 50.37 10004 667 Observed
R1298~ 5.75 48.03 10132 583 Observed

Raichu Observed Statistics

Performance Metrics

Raichu has a reported usage rate of 6.18% and win rate of 48.97% in BSS Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 1,518 wins and 1,582 losses (3,100 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 5.32% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 8.01% 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 +2.69 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 49.93% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=667 recorded appearances) and 49.55% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=1,005 recorded appearances), a change of -0.38 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 5.66% (~R1208; n=10,104 team slots) to 6.87% (~R1089; n=9,968 team slots), a spread of 1.21 percentage points. Overall usage was 6.18%. 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, Zap Cannon has the largest recorded team-use count (760; 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: 52.7% wins in 1,381 recorded pair observations; Corviknight: 53.4% wins in 955 recorded pair observations; Primarina: 52.3% wins in 709 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: 68.2% wins in 66 recorded pair observations; Excadrill: 60.8% wins in 79 recorded pair observations; Scolipede: 59.9% wins in 172 recorded pair observations. Returned lower-win-rate opponent group: Mamoswine: 35.7% wins in 42 recorded pair observations; Kleavor: 35.9% wins in 39 recorded pair observations; Dragalge: 36.2% wins in 47 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
Garchomp1381 recorded pair observations · 5.51 pair observations per 100 analyzed battles
52.7%
Corviknight
Corviknight955 recorded pair observations · 3.81 pair observations per 100 analyzed battles
53.4%
Primarina
Primarina709 recorded pair observations · 2.83 pair observations per 100 analyzed battles
52.3%
Sneasler
Sneasler499 recorded pair observations · 1.99 pair observations per 100 analyzed battles
50.9%
Meowscarada
Meowscarada450 recorded pair observations · 1.79 pair observations per 100 analyzed battles
51.6%
Basculegion
Basculegion386 recorded pair observations · 1.54 pair observations per 100 analyzed battles
48.2%
Rillaboom
Rillaboom373 recorded pair observations · 1.49 pair observations per 100 analyzed battles
42.9%
Starmie
Starmie371 recorded pair observations · 1.48 pair observations per 100 analyzed battles
52.0%
Gholdengo
Gholdengo323 recorded pair observations · 1.29 pair observations per 100 analyzed battles
41.2%
Gengar
Gengar318 recorded pair observations · 1.27 pair observations per 100 analyzed battles
55.4%
Salamence
Salamence314 recorded pair observations · 1.25 pair observations per 100 analyzed battles
48.7%
Kingambit
Kingambit298 recorded pair observations · 1.19 pair observations per 100 analyzed battles
43.0%
Hippowdon
Hippowdon264 recorded pair observations · 1.05 pair observations per 100 analyzed battles
50.8%
Archaludon
Archaludon252 recorded pair observations · 1.00 pair observations per 100 analyzed battles
48.8%
Skeledirge
Skeledirge222 recorded pair observations · 0.89 pair observations per 100 analyzed battles
54.5%
Glimmora
Glimmora221 recorded pair observations · 0.88 pair observations per 100 analyzed battles
50.7%
Blaziken
Blaziken213 recorded pair observations · 0.85 pair observations per 100 analyzed battles
52.6%
Excadrill
Excadrill200 recorded pair observations · 0.80 pair observations per 100 analyzed battles
54.0%
Blastoise
Blastoise196 recorded pair observations · 0.78 pair observations per 100 analyzed battles
51.5%
Lucario
Lucario196 recorded pair observations · 0.78 pair observations per 100 analyzed battles
45.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1057 recorded pair observations · 4.21 pair observations per 100 analyzed battles
44.8%
Primarina
Primarina722 recorded pair observations · 2.88 pair observations per 100 analyzed battles
45.8%
Gholdengo
Gholdengo599 recorded pair observations · 2.39 pair observations per 100 analyzed battles
47.8%
Hippowdon
Hippowdon569 recorded pair observations · 2.27 pair observations per 100 analyzed battles
44.6%
Archaludon
Archaludon562 recorded pair observations · 2.24 pair observations per 100 analyzed battles
50.5%
Mimikyu
Mimikyu536 recorded pair observations · 2.14 pair observations per 100 analyzed battles
42.7%
Corviknight
Corviknight503 recorded pair observations · 2.01 pair observations per 100 analyzed battles
44.5%
Salamence
Salamence502 recorded pair observations · 2.00 pair observations per 100 analyzed battles
50.0%
Golisopod
Golisopod439 recorded pair observations · 1.75 pair observations per 100 analyzed battles
44.2%
Charizard
Charizard388 recorded pair observations · 1.55 pair observations per 100 analyzed battles
49.0%
Lucario
Lucario380 recorded pair observations · 1.51 pair observations per 100 analyzed battles
45.3%
Baxcalibur
Baxcalibur371 recorded pair observations · 1.48 pair observations per 100 analyzed battles
44.5%
Basculegion
Basculegion370 recorded pair observations · 1.48 pair observations per 100 analyzed battles
48.6%
Meowscarada
Meowscarada350 recorded pair observations · 1.40 pair observations per 100 analyzed battles
44.9%
Metagross
Metagross336 recorded pair observations · 1.34 pair observations per 100 analyzed battles
46.1%
Kingambit
Kingambit325 recorded pair observations · 1.30 pair observations per 100 analyzed battles
49.9%
Dragonite
Dragonite310 recorded pair observations · 1.24 pair observations per 100 analyzed battles
48.1%
Floette-Eternal
Floette-Eternal278 recorded pair observations · 1.11 pair observations per 100 analyzed battles
50.4%
Scizor
Scizor250 recorded pair observations · 1.00 pair observations per 100 analyzed battles
53.2%
Gyarados
Gyarados249 recorded pair observations · 0.99 pair observations per 100 analyzed battles
51.0%

Higher Win-rate Partners

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

Kleavor
Kleavor80 recorded pair observations · 0.32 pair observations per 100 analyzed battles
62.5%
Skarmory
Skarmory85 recorded pair observations · 0.34 pair observations per 100 analyzed battles
61.2%
Umbreon
Umbreon196 recorded pair observations · 0.78 pair observations per 100 analyzed battles
59.7%
Lopunny
Lopunny158 recorded pair observations · 0.63 pair observations per 100 analyzed battles
58.9%
Indeedee-F
Indeedee-F100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
58.0%
Floette-Eternal
Floette-Eternal102 recorded pair observations · 0.41 pair observations per 100 analyzed battles
57.8%
Polteageist
Polteageist92 recorded pair observations · 0.37 pair observations per 100 analyzed battles
57.6%
Toucannon
Toucannon47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
57.5%
Dragalge
Dragalge46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
56.5%
Araquanid
Araquanid172 recorded pair observations · 0.69 pair observations per 100 analyzed battles
56.4%

Lower Win-rate Partners

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

Sirfetch’d
Sirfetch’d42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
30.9%
Incineroar
Incineroar90 recorded pair observations · 0.36 pair observations per 100 analyzed battles
33.3%
Gliscor
Gliscor62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
35.5%
Serperior
Serperior36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
36.1%
Pikachu
Pikachu52 recorded pair observations · 0.21 pair observations per 100 analyzed battles
36.5%
Milotic
Milotic80 recorded pair observations · 0.32 pair observations per 100 analyzed battles
37.5%
Clefable
Clefable116 recorded pair observations · 0.46 pair observations per 100 analyzed battles
37.9%
Espathra
Espathra72 recorded pair observations · 0.29 pair observations per 100 analyzed battles
38.9%
Whimsicott
Whimsicott64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
39.1%
Sylveon
Sylveon97 recorded pair observations · 0.39 pair observations per 100 analyzed battles
39.2%

Higher Win-rate Opponent Teams

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

Zoroark-Hisui
Zoroark-Hisui66 recorded pair observations · 0.26 pair observations per 100 analyzed battles
68.2%
Excadrill
Excadrill79 recorded pair observations · 0.31 pair observations per 100 analyzed battles
60.8%
Scolipede
Scolipede172 recorded pair observations · 0.69 pair observations per 100 analyzed battles
59.9%
Incineroar
Incineroar87 recorded pair observations · 0.35 pair observations per 100 analyzed battles
59.8%
Annihilape
Annihilape32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
59.4%
Whimsicott
Whimsicott44 recorded pair observations · 0.18 pair observations per 100 analyzed battles
59.1%
Milotic
Milotic41 recorded pair observations · 0.16 pair observations per 100 analyzed battles
58.5%
Sylveon
Sylveon65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
58.5%
Gardevoir
Gardevoir36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
58.3%
Torkoal
Torkoal43 recorded pair observations · 0.17 pair observations per 100 analyzed battles
58.1%

Lower Win-rate Opponent Teams

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

Mamoswine
Mamoswine42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
35.7%
Kleavor
Kleavor39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
35.9%
Dragalge
Dragalge47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
36.2%
Goodra-Hisui
Goodra-Hisui33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
36.4%
Ditto
Ditto92 recorded pair observations · 0.37 pair observations per 100 analyzed battles
38.0%
Gliscor
Gliscor76 recorded pair observations · 0.30 pair observations per 100 analyzed battles
38.2%
Serperior
Serperior40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
40.0%
Vanilluxe
Vanilluxe40 recorded pair observations · 0.16 pair observations per 100 analyzed battles
40.0%
Toxapex
Toxapex197 recorded pair observations · 0.79 pair observations per 100 analyzed battles
41.6%
Banette
Banette89 recorded pair observations · 0.35 pair observations per 100 analyzed battles
42.7%