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

Gallade

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.47%Usage Rate
47.42%Win Rate
33.73%Lead Rate
58.63%Selection Rate
1229Avg Rating

9463 recorded team appearances · 4487 wins · 4976 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Sacred Sword Recorded use in 2467 of 9463 distinct recorded team appearances (26.1%) 1376 winning team uses of 2467 recorded team uses
55.8%
Psycho Cut Recorded use in 1865 of 9463 distinct recorded team appearances (19.7%) 1007 winning team uses of 1865 recorded team uses
54.0%
Wide Guard Recorded use in 715 of 9463 distinct recorded team appearances (7.6%) 323 winning team uses of 715 recorded team uses
45.2%
Protect Recorded use in 713 of 9463 distinct recorded team appearances (7.5%) 315 winning team uses of 713 recorded team uses
44.2%
Trick Room Recorded use in 694 of 9463 distinct recorded team appearances (7.3%) 398 winning team uses of 694 recorded team uses
57.3%
Leaf Blade Recorded use in 351 of 9463 distinct recorded team appearances (3.7%) 186 winning team uses of 351 recorded team uses
53.0%
Drain Punch Recorded use in 225 of 9463 distinct recorded team appearances (2.4%) 112 winning team uses of 225 recorded team uses
49.8%
Night Slash Recorded use in 219 of 9463 distinct recorded team appearances (2.3%) 117 winning team uses of 219 recorded team uses
53.4%
Rock Slide Recorded use in 196 of 9463 distinct recorded team appearances (2.1%) 102 winning team uses of 196 recorded team uses
52.0%
Close Combat Recorded use in 103 of 9463 distinct recorded team appearances (1.1%) 41 winning team uses of 103 recorded team uses
39.8%

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 1.32 46.48 160968 2117 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 1.50 45.65 160966 2414 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 1.53 47.08 160966 2468 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 1.53 50.28 160966 2464 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 1.91 46.83 128104 2447 Observed
~R1208 1.71 49.48 129182 2207 Observed
~R1302 1.56 47.91 126962 1983 Observed
~R1405 1.37 46.86 130626 1784 Observed
R1405~ 0.81 44.43 128992 1042 Observed

Gallade Observed Statistics

Performance Metrics

Gallade has a reported usage rate of 1.47% and win rate of 47.42% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 4,487 wins and 4,976 losses (9,463 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 1.32% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 1.53% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 team slots), a change of +0.21 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 46.48% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=2,117 recorded appearances) and 50.28% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=2,464 recorded appearances), a change of +3.80 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 0.81% (R1405~; n=128,992 team slots) to 1.91% (~R1129; n=128,104 team slots), a spread of 1.10 percentage points. Overall usage was 1.47%. 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, Sacred Sword has the largest recorded team-use count (2,467; 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: Indeedee-F: 50.1% wins in 2,898 recorded pair observations; Farigiraf: 48.4% wins in 1,594 recorded pair observations; Incineroar: 49.5% wins in 1,545 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: Lucario: 56.6% wins in 332 recorded pair observations; Sableye: 52.8% wins in 318 recorded pair observations; Annihilape: 51.9% wins in 347 recorded pair observations. Returned lower-win-rate opponent group: Staraptor: 42.0% wins in 667 recorded pair observations; Floette-Eternal: 42.1% wins in 636 recorded pair observations; Gholdengo: 42.3% wins in 1,141 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%

Indeedee-F
Indeedee-F2898 recorded pair observations · 0.90 pair observations per 100 analyzed battles
50.1%
Farigiraf
Farigiraf1594 recorded pair observations · 0.50 pair observations per 100 analyzed battles
48.4%
Incineroar
Incineroar1545 recorded pair observations · 0.48 pair observations per 100 analyzed battles
49.5%
Whimsicott
Whimsicott1438 recorded pair observations · 0.45 pair observations per 100 analyzed battles
45.9%
Rillaboom
Rillaboom1273 recorded pair observations · 0.40 pair observations per 100 analyzed battles
50.0%
Torkoal
Torkoal1239 recorded pair observations · 0.38 pair observations per 100 analyzed battles
53.8%
Kingambit
Kingambit1209 recorded pair observations · 0.38 pair observations per 100 analyzed battles
49.9%
Gardevoir
Gardevoir1087 recorded pair observations · 0.34 pair observations per 100 analyzed battles
50.3%
Charizard
Charizard1044 recorded pair observations · 0.32 pair observations per 100 analyzed battles
49.0%
Raichu
Raichu997 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.1%
Garchomp
Garchomp956 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.6%
Golisopod
Golisopod898 recorded pair observations · 0.28 pair observations per 100 analyzed battles
47.7%
Volcarona
Volcarona850 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.0%
Camerupt
Camerupt814 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.8%
Pelipper
Pelipper801 recorded pair observations · 0.25 pair observations per 100 analyzed battles
46.6%
Sinistcha
Sinistcha790 recorded pair observations · 0.25 pair observations per 100 analyzed battles
43.7%
Tyranitar
Tyranitar750 recorded pair observations · 0.23 pair observations per 100 analyzed battles
51.1%
Talonflame
Talonflame719 recorded pair observations · 0.22 pair observations per 100 analyzed battles
50.5%
Hatterene
Hatterene689 recorded pair observations · 0.21 pair observations per 100 analyzed battles
53.3%
Gholdengo
Gholdengo672 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Sneasler
Sneasler2862 recorded pair observations · 0.89 pair observations per 100 analyzed battles
47.6%
Rillaboom
Rillaboom2853 recorded pair observations · 0.89 pair observations per 100 analyzed battles
46.0%
Incineroar
Incineroar2540 recorded pair observations · 0.79 pair observations per 100 analyzed battles
45.5%
Garchomp
Garchomp2403 recorded pair observations · 0.75 pair observations per 100 analyzed battles
45.4%
Indeedee-F
Indeedee-F1760 recorded pair observations · 0.55 pair observations per 100 analyzed battles
46.8%
Archaludon
Archaludon1735 recorded pair observations · 0.54 pair observations per 100 analyzed battles
46.6%
Raichu
Raichu1702 recorded pair observations · 0.53 pair observations per 100 analyzed battles
46.5%
Kingambit
Kingambit1549 recorded pair observations · 0.48 pair observations per 100 analyzed battles
45.3%
Pelipper
Pelipper1547 recorded pair observations · 0.48 pair observations per 100 analyzed battles
46.7%
Charizard
Charizard1546 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.5%
Farigiraf
Farigiraf1506 recorded pair observations · 0.47 pair observations per 100 analyzed battles
45.6%
Golisopod
Golisopod1334 recorded pair observations · 0.41 pair observations per 100 analyzed battles
44.6%
Whimsicott
Whimsicott1187 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.6%
Gholdengo
Gholdengo1141 recorded pair observations · 0.35 pair observations per 100 analyzed battles
42.3%
Basculegion
Basculegion1044 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.7%
Sinistcha
Sinistcha983 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.2%
Salamence
Salamence952 recorded pair observations · 0.30 pair observations per 100 analyzed battles
44.8%
Tyranitar
Tyranitar905 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.6%
Milotic
Milotic845 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.7%
Volcarona
Volcarona816 recorded pair observations · 0.25 pair observations per 100 analyzed battles
45.3%

Higher Win-rate Partners

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

Armarouge
Armarouge640 recorded pair observations · 0.20 pair observations per 100 analyzed battles
54.5%
Torkoal
Torkoal1239 recorded pair observations · 0.38 pair observations per 100 analyzed battles
53.8%
Hatterene
Hatterene689 recorded pair observations · 0.21 pair observations per 100 analyzed battles
53.3%
Camerupt
Camerupt814 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.8%
Mawile
Mawile622 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.1%
Tyranitar
Tyranitar750 recorded pair observations · 0.23 pair observations per 100 analyzed battles
51.1%
Delphox
Delphox390 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.5%
Talonflame
Talonflame719 recorded pair observations · 0.22 pair observations per 100 analyzed battles
50.5%
Gardevoir
Gardevoir1087 recorded pair observations · 0.34 pair observations per 100 analyzed battles
50.3%
Salamence
Salamence545 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.3%

Lower Win-rate Partners

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

Dragapult
Dragapult306 recorded pair observations · 0.10 pair observations per 100 analyzed battles
37.9%
Sneasler
Sneasler552 recorded pair observations · 0.17 pair observations per 100 analyzed battles
38.8%
Lucario
Lucario306 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.9%
Grimmsnarl
Grimmsnarl317 recorded pair observations · 0.10 pair observations per 100 analyzed battles
39.1%
Indeedee
Indeedee437 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.8%
Maushold
Maushold609 recorded pair observations · 0.19 pair observations per 100 analyzed battles
43.2%
Sinistcha
Sinistcha790 recorded pair observations · 0.25 pair observations per 100 analyzed battles
43.7%
Glimmora
Glimmora534 recorded pair observations · 0.17 pair observations per 100 analyzed battles
43.8%
Primarina
Primarina370 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.9%
Ceruledge
Ceruledge366 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.4%

Higher Win-rate Opponent Teams

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

Lucario
Lucario332 recorded pair observations · 0.10 pair observations per 100 analyzed battles
56.6%
Sableye
Sableye318 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.8%
Annihilape
Annihilape347 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.9%
Froslass
Froslass412 recorded pair observations · 0.13 pair observations per 100 analyzed battles
50.2%
Gengar
Gengar521 recorded pair observations · 0.16 pair observations per 100 analyzed battles
49.1%
Kommo-o
Kommo-o423 recorded pair observations · 0.13 pair observations per 100 analyzed battles
48.9%
Whimsicott
Whimsicott1187 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.6%
Indeedee
Indeedee578 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.1%
Milotic
Milotic845 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.7%
Politoed
Politoed665 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.7%

Lower Win-rate Opponent Teams

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

Staraptor
Staraptor667 recorded pair observations · 0.21 pair observations per 100 analyzed battles
42.0%
Floette-Eternal
Floette-Eternal636 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.1%
Gholdengo
Gholdengo1141 recorded pair observations · 0.35 pair observations per 100 analyzed battles
42.3%
Aerodactyl
Aerodactyl309 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.0%
Charizard
Charizard1546 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.5%
Basculegion
Basculegion1044 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.7%
Gardevoir
Gardevoir628 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.8%
Swampert
Swampert428 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.2%
Arcanine-Hisui
Arcanine-Hisui428 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.4%
Golisopod
Golisopod1334 recorded pair observations · 0.41 pair observations per 100 analyzed battles
44.6%