Last Updated: 10/25/2026 11:14 [UTC]

Gengar

Tier D

VGC 2026 Regulation M-C (Pokemon Champions)

5.09%Usage Rate
48.63%Win Rate
48.28%Lead Rate
60.95%Selection Rate
1265Avg Rating

33097 recorded team appearances · 16095 wins · 17002 losses · 10/11/2026–10/25/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Protect Recorded use in 12536 of 33100 distinct recorded team appearances (37.9%) 6395 winning team uses of 12536 recorded team uses
51.0%
Perish Song Recorded use in 7640 of 33100 distinct recorded team appearances (23.1%) 4235 winning team uses of 7640 recorded team uses
55.4%
Shadow Ball Recorded use in 7569 of 33100 distinct recorded team appearances (22.9%) 3933 winning team uses of 7569 recorded team uses
52.0%
Sludge Bomb Recorded use in 6403 of 33100 distinct recorded team appearances (19.3%) 3542 winning team uses of 6403 recorded team uses
55.3%
Disable Recorded use in 1362 of 33100 distinct recorded team appearances (4.1%) 706 winning team uses of 1362 recorded team uses
51.8%
Substitute Recorded use in 958 of 33100 distinct recorded team appearances (2.9%) 495 winning team uses of 958 recorded team uses
51.7%
Icy Wind Recorded use in 553 of 33100 distinct recorded team appearances (1.7%) 279 winning team uses of 553 recorded team uses
50.5%
Sludge Wave Recorded use in 449 of 33100 distinct recorded team appearances (1.4%) 234 winning team uses of 449 recorded team uses
52.1%
Hypnosis Recorded use in 280 of 33100 distinct recorded team appearances (0.8%) 144 winning team uses of 280 recorded team uses
51.4%
Trick Room Recorded use in 227 of 33100 distinct recorded team appearances (0.7%) 128 winning team uses of 227 recorded team uses
56.4%

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: 2026/10/11 11:01–2026/10/14 22:03 UTC 4.41 48.20 162620 7176 Observed
Period 2: 2026/10/14 22:03–2026/10/18 07:58 UTC 4.59 49.51 162618 7459 Observed
Period 3: 2026/10/18 07:58–2026/10/21 17:31 UTC 5.16 48.17 162618 8393 Observed
Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC 6.19 48.66 162618 10069 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1132 5.65 48.26 129866 7342 Observed
~R1209 5.36 49.27 129712 6956 Observed
~R1304 4.84 48.20 129444 6261 Observed
~R1406 4.84 49.57 130156 6304 Observed
R1406~ 4.75 47.83 131296 6234 Observed

Gengar Observed Statistics

Performance Metrics

Gengar has a reported usage rate of 5.09% and win rate of 48.63% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/11/2026 to 10/25/2026 (UTC), with 325,237 recorded battles. 16,095 wins and 17,002 losses (33,097 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 4.41% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=162,620 team slots) and 6.19% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=162,618 team slots), a change of +1.78 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 48.20% in the first available period (Period 1: 2026/10/11 11:01–2026/10/14 22:03 UTC; n=7,176 recorded appearances) and 48.66% in the last available period (Period 4: 2026/10/21 17:31–2026/10/25 10:58 UTC; n=10,069 recorded appearances), a change of +0.46 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 4.75% (R1406~; n=131,296 team slots) to 5.65% (~R1132; n=129,866 team slots), a spread of 0.90 percentage points. Overall usage was 5.09%. 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, Protect has the largest recorded team-use count (12,536; 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: Incineroar: 49.9% wins in 21,973 recorded pair observations; Rillaboom: 50.4% wins in 20,138 recorded pair observations; Politoed: 50.0% wins in 9,269 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: Clefable: 57.7% wins in 473 recorded pair observations; Vivillon: 56.7% wins in 427 recorded pair observations; Espathra: 56.2% wins in 703 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 42.9% wins in 1,421 recorded pair observations; Delphox: 43.8% wins in 1,143 recorded pair observations; Annihilape: 44.0% wins in 1,283 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%

Incineroar
Incineroar21973 recorded pair observations · 6.76 pair observations per 100 analyzed battles
49.9%
Rillaboom
Rillaboom20138 recorded pair observations · 6.19 pair observations per 100 analyzed battles
50.4%
Politoed
Politoed9269 recorded pair observations · 2.85 pair observations per 100 analyzed battles
50.0%
Archaludon
Archaludon7421 recorded pair observations · 2.28 pair observations per 100 analyzed battles
51.4%
Kommo-o
Kommo-o6626 recorded pair observations · 2.04 pair observations per 100 analyzed battles
50.0%
Garchomp
Garchomp5566 recorded pair observations · 1.71 pair observations per 100 analyzed battles
48.7%
Kingambit
Kingambit5146 recorded pair observations · 1.58 pair observations per 100 analyzed battles
50.7%
Sneasler
Sneasler4900 recorded pair observations · 1.51 pair observations per 100 analyzed battles
47.3%
Vivillon
Vivillon4021 recorded pair observations · 1.24 pair observations per 100 analyzed battles
49.2%
Primarina
Primarina3788 recorded pair observations · 1.16 pair observations per 100 analyzed battles
50.3%
Indeedee-F
Indeedee-F3309 recorded pair observations · 1.02 pair observations per 100 analyzed battles
47.9%
Raichu
Raichu2638 recorded pair observations · 0.81 pair observations per 100 analyzed battles
49.7%
Milotic
Milotic2284 recorded pair observations · 0.70 pair observations per 100 analyzed battles
49.2%
Volcarona
Volcarona2082 recorded pair observations · 0.64 pair observations per 100 analyzed battles
50.2%
Ninetales-Alola
Ninetales-Alola2031 recorded pair observations · 0.62 pair observations per 100 analyzed battles
50.2%
Sinistcha
Sinistcha1935 recorded pair observations · 0.59 pair observations per 100 analyzed battles
46.7%
Pelipper
Pelipper1803 recorded pair observations · 0.55 pair observations per 100 analyzed battles
50.8%
Whimsicott
Whimsicott1788 recorded pair observations · 0.55 pair observations per 100 analyzed battles
44.2%
Farigiraf
Farigiraf1632 recorded pair observations · 0.50 pair observations per 100 analyzed battles
47.7%
Swampert
Swampert1613 recorded pair observations · 0.50 pair observations per 100 analyzed battles
51.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom10299 recorded pair observations · 3.17 pair observations per 100 analyzed battles
48.8%
Sneasler
Sneasler9925 recorded pair observations · 3.05 pair observations per 100 analyzed battles
45.9%
Incineroar
Incineroar9100 recorded pair observations · 2.80 pair observations per 100 analyzed battles
48.4%
Garchomp
Garchomp8620 recorded pair observations · 2.65 pair observations per 100 analyzed battles
47.9%
Raichu
Raichu6259 recorded pair observations · 1.92 pair observations per 100 analyzed battles
46.6%
Archaludon
Archaludon6196 recorded pair observations · 1.91 pair observations per 100 analyzed battles
47.6%
Indeedee-F
Indeedee-F5832 recorded pair observations · 1.79 pair observations per 100 analyzed battles
48.5%
Kingambit
Kingambit5565 recorded pair observations · 1.71 pair observations per 100 analyzed battles
45.1%
Charizard
Charizard5531 recorded pair observations · 1.70 pair observations per 100 analyzed battles
47.3%
Farigiraf
Farigiraf5454 recorded pair observations · 1.68 pair observations per 100 analyzed battles
47.1%
Pelipper
Pelipper5403 recorded pair observations · 1.66 pair observations per 100 analyzed battles
47.3%
Golisopod
Golisopod4657 recorded pair observations · 1.43 pair observations per 100 analyzed battles
47.7%
Gholdengo
Gholdengo4384 recorded pair observations · 1.35 pair observations per 100 analyzed battles
47.0%
Whimsicott
Whimsicott4089 recorded pair observations · 1.26 pair observations per 100 analyzed battles
49.0%
Basculegion
Basculegion3893 recorded pair observations · 1.20 pair observations per 100 analyzed battles
46.0%
Salamence
Salamence3662 recorded pair observations · 1.13 pair observations per 100 analyzed battles
48.1%
Sinistcha
Sinistcha3131 recorded pair observations · 0.96 pair observations per 100 analyzed battles
51.5%
Tyranitar
Tyranitar3113 recorded pair observations · 0.96 pair observations per 100 analyzed battles
47.6%
Milotic
Milotic2903 recorded pair observations · 0.89 pair observations per 100 analyzed battles
49.9%
Volcarona
Volcarona2900 recorded pair observations · 0.89 pair observations per 100 analyzed battles
47.9%

Higher Win-rate Partners

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

Froslass
Froslass1069 recorded pair observations · 0.33 pair observations per 100 analyzed battles
52.8%
Vivillon-Pokeball
Vivillon-Pokeball454 recorded pair observations · 0.14 pair observations per 100 analyzed battles
52.6%
Blaziken
Blaziken515 recorded pair observations · 0.16 pair observations per 100 analyzed battles
52.0%
Swampert
Swampert1613 recorded pair observations · 0.50 pair observations per 100 analyzed battles
51.8%
Archaludon
Archaludon7421 recorded pair observations · 2.28 pair observations per 100 analyzed battles
51.4%
Mamoswine
Mamoswine335 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.0%
Pelipper
Pelipper1803 recorded pair observations · 0.55 pair observations per 100 analyzed battles
50.8%
Kingambit
Kingambit5146 recorded pair observations · 1.58 pair observations per 100 analyzed battles
50.7%
Rillaboom
Rillaboom20138 recorded pair observations · 6.19 pair observations per 100 analyzed battles
50.4%
Arcanine-Hisui
Arcanine-Hisui757 recorded pair observations · 0.23 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%

Overqwil
Overqwil357 recorded pair observations · 0.11 pair observations per 100 analyzed battles
41.5%
Scrafty
Scrafty378 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.9%
Toxapex
Toxapex807 recorded pair observations · 0.25 pair observations per 100 analyzed battles
42.9%
Gholdengo
Gholdengo939 recorded pair observations · 0.29 pair observations per 100 analyzed battles
43.1%
Grimmsnarl
Grimmsnarl1046 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.4%
Palafin
Palafin401 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.4%
Sableye
Sableye1403 recorded pair observations · 0.43 pair observations per 100 analyzed battles
43.5%
Torkoal
Torkoal340 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.5%
Glimmora
Glimmora380 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.7%
Noivern
Noivern355 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.9%

Higher Win-rate Opponent Teams

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

Clefable
Clefable473 recorded pair observations · 0.15 pair observations per 100 analyzed battles
57.7%
Vivillon
Vivillon427 recorded pair observations · 0.13 pair observations per 100 analyzed battles
56.7%
Espathra
Espathra703 recorded pair observations · 0.22 pair observations per 100 analyzed battles
56.2%
Maushold
Maushold713 recorded pair observations · 0.22 pair observations per 100 analyzed battles
55.5%
Rotom-Wash
Rotom-Wash643 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.5%
Sceptile
Sceptile696 recorded pair observations · 0.21 pair observations per 100 analyzed battles
53.9%
Chandelure
Chandelure364 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.8%
Blaziken
Blaziken869 recorded pair observations · 0.27 pair observations per 100 analyzed battles
52.7%
Rotom-Heat
Rotom-Heat651 recorded pair observations · 0.20 pair observations per 100 analyzed battles
52.7%
Empoleon
Empoleon346 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.6%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F1421 recorded pair observations · 0.44 pair observations per 100 analyzed battles
42.9%
Delphox
Delphox1143 recorded pair observations · 0.35 pair observations per 100 analyzed battles
43.8%
Annihilape
Annihilape1283 recorded pair observations · 0.39 pair observations per 100 analyzed battles
44.0%
Indeedee
Indeedee2142 recorded pair observations · 0.66 pair observations per 100 analyzed battles
44.3%
Kommo-o
Kommo-o1499 recorded pair observations · 0.46 pair observations per 100 analyzed battles
44.8%
Kingambit
Kingambit5565 recorded pair observations · 1.71 pair observations per 100 analyzed battles
45.1%
Zoroark-Hisui
Zoroark-Hisui477 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.1%
Grapploct
Grapploct442 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.2%
Sneasler
Sneasler9925 recorded pair observations · 3.05 pair observations per 100 analyzed battles
45.9%
Basculegion
Basculegion3893 recorded pair observations · 1.20 pair observations per 100 analyzed battles
46.0%