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

Scizor

Tier E

BSS Regulation M-C (Pokemon Champions)

8.31%Usage Rate
43.42%Win Rate
8.32%Lead Rate
27.57%Selection Rate
1147Avg Rating

4171 recorded team appearances · 1811 wins · 2360 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Bullet Punch Recorded use in 682 of 4171 distinct recorded team appearances (16.4%) 301 winning team uses of 682 recorded team uses
44.1%
Swords Dance Recorded use in 227 of 4171 distinct recorded team appearances (5.4%) 95 winning team uses of 227 recorded team uses
41.9%
U-turn Recorded use in 219 of 4171 distinct recorded team appearances (5.3%) 116 winning team uses of 219 recorded team uses
53.0%
Iron Defense Recorded use in 173 of 4171 distinct recorded team appearances (4.1%) 30 winning team uses of 173 recorded team uses
17.3%
Roost Recorded use in 171 of 4171 distinct recorded team appearances (4.1%) 59 winning team uses of 171 recorded team uses
34.5%
Baton Pass Recorded use in 116 of 4171 distinct recorded team appearances (2.8%) 24 winning team uses of 116 recorded team uses
20.7%
Close Combat Recorded use in 116 of 4171 distinct recorded team appearances (2.8%) 61 winning team uses of 116 recorded team uses
52.6%
Knock Off Recorded use in 79 of 4171 distinct recorded team appearances (1.9%) 38 winning team uses of 79 recorded team uses
48.1%
Brick Break Recorded use in 36 of 4171 distinct recorded team appearances (0.9%) 23 winning team uses of 36 recorded team uses
63.9%
Curse Recorded use in 30 of 4171 distinct recorded team appearances (0.7%) 17 winning team uses of 30 recorded team uses
56.7%

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 6.15 47.34 12542 771 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 10.37 41.20 12542 1301 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 10.66 41.88 12542 1337 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 6.08 45.93 12540 762 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 11.11 48.69 9968 1107 Observed
~R1142 11.02 41.75 9958 1097 Observed
~R1208 9.01 36.26 10104 910 Observed
~R1298 6.08 46.22 10004 608 Observed
R1298~ 4.43 45.21 10132 449 Observed

Scizor Observed Statistics

Performance Metrics

Scizor has a reported usage rate of 8.31% and win rate of 43.42% 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. 1,811 wins and 2,360 losses (4,171 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 6.15% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 6.08% 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 -0.07 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 47.34% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=771 recorded appearances) and 45.93% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=762 recorded appearances), a change of -1.41 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 4.43% (R1298~; n=10,132 team slots) to 11.11% (~R1089; n=9,968 team slots), a spread of 6.68 percentage points. Overall usage was 8.31%. 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, Bullet Punch has the largest recorded team-use count (682; 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: Hippowdon: 39.1% wins in 2,143 recorded pair observations; Kingambit: 39.5% wins in 1,963 recorded pair observations; Gyarados: 39.1% wins in 1,933 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: Sableye: 70.0% wins in 70 recorded pair observations; Barbaracle: 62.5% wins in 80 recorded pair observations; Indeedee-F: 62.3% wins in 61 recorded pair observations. Returned lower-win-rate opponent group: Mamoswine: 28.3% wins in 60 recorded pair observations; Meganium: 28.9% wins in 97 recorded pair observations; Aggron: 31.8% wins in 44 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%

Hippowdon
Hippowdon2143 recorded pair observations · 8.54 pair observations per 100 analyzed battles
39.1%
Kingambit
Kingambit1963 recorded pair observations · 7.83 pair observations per 100 analyzed battles
39.5%
Gyarados
Gyarados1933 recorded pair observations · 7.71 pair observations per 100 analyzed battles
39.1%
Clefable
Clefable1910 recorded pair observations · 7.61 pair observations per 100 analyzed battles
38.7%
Barbaracle
Barbaracle1843 recorded pair observations · 7.35 pair observations per 100 analyzed battles
38.9%
Garchomp
Garchomp1120 recorded pair observations · 4.47 pair observations per 100 analyzed battles
49.0%
Archaludon
Archaludon610 recorded pair observations · 2.43 pair observations per 100 analyzed battles
45.9%
Primarina
Primarina508 recorded pair observations · 2.03 pair observations per 100 analyzed battles
47.0%
Dragonite
Dragonite386 recorded pair observations · 1.54 pair observations per 100 analyzed battles
48.5%
Mimikyu
Mimikyu286 recorded pair observations · 1.14 pair observations per 100 analyzed battles
47.5%
Floette-Eternal
Floette-Eternal267 recorded pair observations · 1.06 pair observations per 100 analyzed battles
45.3%
Salamence
Salamence266 recorded pair observations · 1.06 pair observations per 100 analyzed battles
54.1%
Meowscarada
Meowscarada263 recorded pair observations · 1.05 pair observations per 100 analyzed battles
48.7%
Tyranitar
Tyranitar247 recorded pair observations · 0.98 pair observations per 100 analyzed battles
47.0%
Charizard
Charizard246 recorded pair observations · 0.98 pair observations per 100 analyzed battles
51.2%
Rotom-Wash
Rotom-Wash240 recorded pair observations · 0.96 pair observations per 100 analyzed battles
48.3%
Gengar
Gengar227 recorded pair observations · 0.90 pair observations per 100 analyzed battles
52.0%
Blaziken
Blaziken208 recorded pair observations · 0.83 pair observations per 100 analyzed battles
50.0%
Basculegion
Basculegion206 recorded pair observations · 0.82 pair observations per 100 analyzed battles
48.5%
Staraptor
Staraptor189 recorded pair observations · 0.75 pair observations per 100 analyzed battles
46.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1370 recorded pair observations · 5.46 pair observations per 100 analyzed battles
42.2%
Primarina
Primarina944 recorded pair observations · 3.76 pair observations per 100 analyzed battles
39.2%
Salamence
Salamence828 recorded pair observations · 3.30 pair observations per 100 analyzed battles
37.9%
Archaludon
Archaludon807 recorded pair observations · 3.22 pair observations per 100 analyzed battles
41.5%
Gholdengo
Gholdengo791 recorded pair observations · 3.15 pair observations per 100 analyzed battles
42.5%
Mimikyu
Mimikyu707 recorded pair observations · 2.82 pair observations per 100 analyzed battles
43.0%
Corviknight
Corviknight656 recorded pair observations · 2.62 pair observations per 100 analyzed battles
37.5%
Hippowdon
Hippowdon653 recorded pair observations · 2.60 pair observations per 100 analyzed battles
47.2%
Golisopod
Golisopod617 recorded pair observations · 2.46 pair observations per 100 analyzed battles
37.1%
Basculegion
Basculegion585 recorded pair observations · 2.33 pair observations per 100 analyzed battles
38.1%
Charizard
Charizard489 recorded pair observations · 1.95 pair observations per 100 analyzed battles
40.7%
Lucario
Lucario469 recorded pair observations · 1.87 pair observations per 100 analyzed battles
41.8%
Baxcalibur
Baxcalibur456 recorded pair observations · 1.82 pair observations per 100 analyzed battles
38.4%
Metagross
Metagross435 recorded pair observations · 1.73 pair observations per 100 analyzed battles
40.0%
Kingambit
Kingambit432 recorded pair observations · 1.72 pair observations per 100 analyzed battles
39.4%
Floette-Eternal
Floette-Eternal417 recorded pair observations · 1.66 pair observations per 100 analyzed battles
39.1%
Meowscarada
Meowscarada385 recorded pair observations · 1.53 pair observations per 100 analyzed battles
45.5%
Umbreon
Umbreon380 recorded pair observations · 1.51 pair observations per 100 analyzed battles
40.5%
Dragonite
Dragonite374 recorded pair observations · 1.49 pair observations per 100 analyzed battles
39.3%
Skeledirge
Skeledirge367 recorded pair observations · 1.46 pair observations per 100 analyzed battles
37.9%

Higher Win-rate Partners

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

Empoleon
Empoleon130 recorded pair observations · 0.52 pair observations per 100 analyzed battles
63.1%
Toxapex
Toxapex115 recorded pair observations · 0.46 pair observations per 100 analyzed battles
57.4%
Politoed
Politoed50 recorded pair observations · 0.20 pair observations per 100 analyzed battles
56.0%
Ditto
Ditto56 recorded pair observations · 0.22 pair observations per 100 analyzed battles
55.4%
Pelipper
Pelipper91 recorded pair observations · 0.36 pair observations per 100 analyzed battles
55.0%
Salamence
Salamence266 recorded pair observations · 1.06 pair observations per 100 analyzed battles
54.1%
Ceruledge
Ceruledge119 recorded pair observations · 0.47 pair observations per 100 analyzed battles
52.9%
Grimmsnarl
Grimmsnarl76 recorded pair observations · 0.30 pair observations per 100 analyzed battles
52.6%
Rillaboom
Rillaboom160 recorded pair observations · 0.64 pair observations per 100 analyzed battles
52.5%
Slowking-Galar
Slowking-Galar109 recorded pair observations · 0.43 pair observations per 100 analyzed battles
52.3%

Lower Win-rate Partners

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

Golisopod
Golisopod67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
32.8%
Aegislash
Aegislash65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
33.9%
Volcarona
Volcarona112 recorded pair observations · 0.45 pair observations per 100 analyzed battles
33.9%
Excadrill
Excadrill90 recorded pair observations · 0.36 pair observations per 100 analyzed battles
35.6%
Armarouge
Armarouge61 recorded pair observations · 0.24 pair observations per 100 analyzed battles
36.1%
Ninetales-Alola
Ninetales-Alola43 recorded pair observations · 0.17 pair observations per 100 analyzed battles
37.2%
Clefable
Clefable1910 recorded pair observations · 7.61 pair observations per 100 analyzed battles
38.7%
Azumarill
Azumarill49 recorded pair observations · 0.20 pair observations per 100 analyzed battles
38.8%
Barbaracle
Barbaracle1843 recorded pair observations · 7.35 pair observations per 100 analyzed battles
38.9%
Gyarados
Gyarados1933 recorded pair observations · 7.71 pair observations per 100 analyzed battles
39.1%

Higher Win-rate Opponent Teams

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

Sableye
Sableye70 recorded pair observations · 0.28 pair observations per 100 analyzed battles
70.0%
Barbaracle
Barbaracle80 recorded pair observations · 0.32 pair observations per 100 analyzed battles
62.5%
Indeedee-F
Indeedee-F61 recorded pair observations · 0.24 pair observations per 100 analyzed battles
62.3%
Sylveon
Sylveon77 recorded pair observations · 0.31 pair observations per 100 analyzed battles
59.7%
Gardevoir
Gardevoir73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
58.9%
Pincurchin
Pincurchin46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
58.7%
Dragalge
Dragalge68 recorded pair observations · 0.27 pair observations per 100 analyzed battles
57.4%
Gliscor
Gliscor133 recorded pair observations · 0.53 pair observations per 100 analyzed battles
56.4%
Grimmsnarl
Grimmsnarl158 recorded pair observations · 0.63 pair observations per 100 analyzed battles
55.7%
Milotic
Milotic70 recorded pair observations · 0.28 pair observations per 100 analyzed battles
55.7%

Lower Win-rate Opponent Teams

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

Mamoswine
Mamoswine60 recorded pair observations · 0.24 pair observations per 100 analyzed battles
28.3%
Meganium
Meganium97 recorded pair observations · 0.39 pair observations per 100 analyzed battles
28.9%
Aggron
Aggron44 recorded pair observations · 0.18 pair observations per 100 analyzed battles
31.8%
Heracross
Heracross42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
33.3%
Polteageist
Polteageist66 recorded pair observations · 0.26 pair observations per 100 analyzed battles
33.3%
Whimsicott
Whimsicott68 recorded pair observations · 0.27 pair observations per 100 analyzed battles
33.8%
Vanilluxe
Vanilluxe44 recorded pair observations · 0.18 pair observations per 100 analyzed battles
34.1%
Empoleon
Empoleon76 recorded pair observations · 0.30 pair observations per 100 analyzed battles
34.2%
Slowking-Galar
Slowking-Galar107 recorded pair observations · 0.43 pair observations per 100 analyzed battles
34.6%
Lopunny
Lopunny95 recorded pair observations · 0.38 pair observations per 100 analyzed battles
34.7%