Last Updated: 10/26/2026 11:15 [UTC]

Gliscor

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.16%Usage Rate
46.48%Win Rate
41.08%Lead Rate
66.59%Selection Rate
1243Avg Rating

7437 recorded team appearances · 3457 wins · 3980 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

High Horsepower Recorded use in 2129 of 7437 distinct recorded team appearances (28.6%) 1118 winning team uses of 2129 recorded team uses
52.5%
Acrobatics Recorded use in 1862 of 7437 distinct recorded team appearances (25.0%) 994 winning team uses of 1862 recorded team uses
53.4%
Protect Recorded use in 1499 of 7437 distinct recorded team appearances (20.2%) 643 winning team uses of 1499 recorded team uses
42.9%
Tailwind Recorded use in 1433 of 7437 distinct recorded team appearances (19.3%) 731 winning team uses of 1433 recorded team uses
51.0%
Swords Dance Recorded use in 728 of 7437 distinct recorded team appearances (9.8%) 352 winning team uses of 728 recorded team uses
48.4%
Dual Wingbeat Recorded use in 433 of 7437 distinct recorded team appearances (5.8%) 226 winning team uses of 433 recorded team uses
52.2%
Rock Slide Recorded use in 303 of 7437 distinct recorded team appearances (4.1%) 130 winning team uses of 303 recorded team uses
42.9%
Earthquake Recorded use in 260 of 7437 distinct recorded team appearances (3.5%) 111 winning team uses of 260 recorded team uses
42.7%
Rock Tomb Recorded use in 103 of 7437 distinct recorded team appearances (1.4%) 59 winning team uses of 103 recorded team uses
57.3%
Toxic Recorded use in 82 of 7437 distinct recorded team appearances (1.1%) 36 winning team uses of 82 recorded team uses
43.9%

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 1.08 45.84 160968 1732 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 1.04 48.03 160966 1678 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 1.12 47.31 160966 1803 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 1.38 45.14 160966 2224 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 1.43 43.84 128104 1834 Observed
~R1208 1.25 48.05 129182 1617 Observed
~R1302 1.19 48.41 126962 1512 Observed
~R1405 1.05 47.53 130626 1374 Observed
R1405~ 0.85 44.64 128992 1100 Observed

Gliscor Observed Statistics

Performance Metrics

Gliscor has a reported usage rate of 1.16% and win rate of 46.48% 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. 3,457 wins and 3,980 losses (7,437 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 1.08% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 1.38% 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 +0.30 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 45.84% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=1,732 recorded appearances) and 45.14% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=2,224 recorded appearances), a change of -0.70 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 0.85% (R1405~; n=128,992 team slots) to 1.43% (~R1129; n=128,104 team slots), a spread of 0.58 percentage points. Overall usage was 1.16%. 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, High Horsepower has the largest recorded team-use count (2,129; 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: 45.9% wins in 1,831 recorded pair observations; Rillaboom: 47.5% wins in 1,603 recorded pair observations; Indeedee: 48.5% wins in 1,560 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: Gengar: 49.9% wins in 417 recorded pair observations; Torkoal: 48.6% wins in 385 recorded pair observations; Whimsicott: 48.6% wins in 948 recorded pair observations. Returned lower-win-rate opponent group: Kommo-o: 39.9% wins in 308 recorded pair observations; Swampert: 41.6% wins in 353 recorded pair observations; Floette-Eternal: 42.0% wins in 488 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-F1831 recorded pair observations · 0.57 pair observations per 100 analyzed battles
45.9%
Rillaboom
Rillaboom1603 recorded pair observations · 0.50 pair observations per 100 analyzed battles
47.5%
Indeedee
Indeedee1560 recorded pair observations · 0.48 pair observations per 100 analyzed battles
48.5%
Charizard
Charizard1494 recorded pair observations · 0.46 pair observations per 100 analyzed battles
48.7%
Raichu
Raichu1371 recorded pair observations · 0.43 pair observations per 100 analyzed battles
47.2%
Incineroar
Incineroar1190 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.8%
Kingambit
Kingambit1007 recorded pair observations · 0.31 pair observations per 100 analyzed battles
51.2%
Tyranitar
Tyranitar992 recorded pair observations · 0.31 pair observations per 100 analyzed battles
48.8%
Gardevoir
Gardevoir967 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.7%
Venusaur
Venusaur918 recorded pair observations · 0.29 pair observations per 100 analyzed battles
49.6%
Sneasler
Sneasler877 recorded pair observations · 0.27 pair observations per 100 analyzed battles
46.2%
Gholdengo
Gholdengo827 recorded pair observations · 0.26 pair observations per 100 analyzed battles
46.5%
Annihilape
Annihilape806 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.5%
Whimsicott
Whimsicott781 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.8%
Volcarona
Volcarona707 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.7%
Garchomp
Garchomp631 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.7%
Basculegion
Basculegion570 recorded pair observations · 0.18 pair observations per 100 analyzed battles
46.3%
Sylveon
Sylveon533 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.8%
Sinistcha
Sinistcha530 recorded pair observations · 0.16 pair observations per 100 analyzed battles
49.2%
Excadrill
Excadrill500 recorded pair observations · 0.16 pair observations per 100 analyzed battles
48.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2286 recorded pair observations · 0.71 pair observations per 100 analyzed battles
46.2%
Sneasler
Sneasler2195 recorded pair observations · 0.68 pair observations per 100 analyzed battles
44.5%
Incineroar
Incineroar2063 recorded pair observations · 0.64 pair observations per 100 analyzed battles
46.8%
Garchomp
Garchomp1922 recorded pair observations · 0.60 pair observations per 100 analyzed battles
47.4%
Raichu
Raichu1410 recorded pair observations · 0.44 pair observations per 100 analyzed battles
44.2%
Archaludon
Archaludon1373 recorded pair observations · 0.43 pair observations per 100 analyzed battles
42.5%
Indeedee-F
Indeedee-F1346 recorded pair observations · 0.42 pair observations per 100 analyzed battles
47.6%
Charizard
Charizard1239 recorded pair observations · 0.38 pair observations per 100 analyzed battles
43.7%
Farigiraf
Farigiraf1215 recorded pair observations · 0.38 pair observations per 100 analyzed battles
46.1%
Kingambit
Kingambit1186 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.4%
Pelipper
Pelipper1176 recorded pair observations · 0.37 pair observations per 100 analyzed battles
43.5%
Golisopod
Golisopod1052 recorded pair observations · 0.33 pair observations per 100 analyzed battles
45.1%
Gholdengo
Gholdengo994 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.2%
Whimsicott
Whimsicott948 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.6%
Basculegion
Basculegion827 recorded pair observations · 0.26 pair observations per 100 analyzed battles
44.9%
Salamence
Salamence743 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.9%
Tyranitar
Tyranitar733 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.8%
Sinistcha
Sinistcha698 recorded pair observations · 0.22 pair observations per 100 analyzed battles
47.7%
Milotic
Milotic650 recorded pair observations · 0.20 pair observations per 100 analyzed battles
45.1%
Volcarona
Volcarona639 recorded pair observations · 0.20 pair observations per 100 analyzed battles
44.3%

Higher Win-rate Partners

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

Annihilape
Annihilape806 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.5%
Kingambit
Kingambit1007 recorded pair observations · 0.31 pair observations per 100 analyzed battles
51.2%
Sylveon
Sylveon533 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.8%
Floette-Eternal
Floette-Eternal430 recorded pair observations · 0.13 pair observations per 100 analyzed battles
50.5%
Venusaur
Venusaur918 recorded pair observations · 0.29 pair observations per 100 analyzed battles
49.6%
Milotic
Milotic380 recorded pair observations · 0.12 pair observations per 100 analyzed battles
49.2%
Sinistcha
Sinistcha530 recorded pair observations · 0.16 pair observations per 100 analyzed battles
49.2%
Tyranitar
Tyranitar992 recorded pair observations · 0.31 pair observations per 100 analyzed battles
48.8%
Charizard
Charizard1494 recorded pair observations · 0.46 pair observations per 100 analyzed battles
48.7%
Gardevoir
Gardevoir967 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.7%

Lower Win-rate Partners

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

Rotom-Wash
Rotom-Wash475 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.3%
Garchomp
Garchomp631 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.7%
Torkoal
Torkoal324 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.1%
Salamence
Salamence312 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.2%
Absol
Absol333 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.7%
Armarouge
Armarouge498 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.6%
Glimmora
Glimmora357 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.7%
Volcarona
Volcarona707 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.7%
Incineroar
Incineroar1190 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.8%
Indeedee-F
Indeedee-F1831 recorded pair observations · 0.57 pair observations per 100 analyzed battles
45.9%

Higher Win-rate Opponent Teams

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

Gengar
Gengar417 recorded pair observations · 0.13 pair observations per 100 analyzed battles
49.9%
Torkoal
Torkoal385 recorded pair observations · 0.12 pair observations per 100 analyzed battles
48.6%
Whimsicott
Whimsicott948 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.6%
Staraptor
Staraptor552 recorded pair observations · 0.17 pair observations per 100 analyzed battles
48.2%
Tyranitar
Tyranitar733 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.8%
Sinistcha
Sinistcha698 recorded pair observations · 0.22 pair observations per 100 analyzed battles
47.7%
Indeedee-F
Indeedee-F1346 recorded pair observations · 0.42 pair observations per 100 analyzed battles
47.6%
Garchomp
Garchomp1922 recorded pair observations · 0.60 pair observations per 100 analyzed battles
47.4%
Gholdengo
Gholdengo994 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.2%
Incineroar
Incineroar2063 recorded pair observations · 0.64 pair observations per 100 analyzed battles
46.8%

Lower Win-rate Opponent Teams

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

Kommo-o
Kommo-o308 recorded pair observations · 0.10 pair observations per 100 analyzed battles
39.9%
Swampert
Swampert353 recorded pair observations · 0.11 pair observations per 100 analyzed battles
41.6%
Floette-Eternal
Floette-Eternal488 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.0%
Froslass
Froslass327 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.2%
Arcanine-Hisui
Arcanine-Hisui309 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.4%
Archaludon
Archaludon1373 recorded pair observations · 0.43 pair observations per 100 analyzed battles
42.5%
Gardevoir
Gardevoir481 recorded pair observations · 0.15 pair observations per 100 analyzed battles
42.8%
Pelipper
Pelipper1176 recorded pair observations · 0.37 pair observations per 100 analyzed battles
43.5%
Charizard
Charizard1239 recorded pair observations · 0.38 pair observations per 100 analyzed battles
43.7%
Salamence
Salamence743 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.9%