Last Updated: 11/14/2026 11:04 [UTC]

Gengar

Tier C

Mega Evolution Battle (Pokemon Champions)

12.84%Usage Rate
50.32%Win Rate
50.61%Lead Rate
64.92%Selection Rate
1118Avg Rating

3426 recorded team appearances · 1724 wins · 1702 losses · 11/02/2026–11/14/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Protect Recorded use in 1045 of 3426 distinct recorded team appearances (30.5%) 558 winning team uses of 1045 recorded team uses
53.4%
Shadow Ball Recorded use in 746 of 3426 distinct recorded team appearances (21.8%) 404 winning team uses of 746 recorded team uses
54.2%
Perish Song Recorded use in 654 of 3426 distinct recorded team appearances (19.1%) 374 winning team uses of 654 recorded team uses
57.2%
Sludge Bomb Recorded use in 595 of 3426 distinct recorded team appearances (17.4%) 347 winning team uses of 595 recorded team uses
58.3%
Icy Wind Recorded use in 250 of 3426 distinct recorded team appearances (7.3%) 137 winning team uses of 250 recorded team uses
54.8%
Disable Recorded use in 214 of 3426 distinct recorded team appearances (6.2%) 123 winning team uses of 214 recorded team uses
57.5%
Trick Room Recorded use in 77 of 3426 distinct recorded team appearances (2.2%) 38 winning team uses of 77 recorded team uses
49.4%
Substitute Recorded use in 70 of 3426 distinct recorded team appearances (2.0%) 43 winning team uses of 70 recorded team uses
61.4%
Will-O-Wisp Recorded use in 50 of 3426 distinct recorded team appearances (1.5%) 23 winning team uses of 50 recorded team uses
46.0%
Sludge Wave Recorded use in 41 of 3426 distinct recorded team appearances (1.2%) 27 winning team uses of 41 recorded team uses
65.9%

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: 2026/11/02 05:31–2026/11/06 09:20 UTC 11.24 49.33 6672 750 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 12.40 51.27 6672 827 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 13.94 51.94 6672 930 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 13.78 48.64 6670 919 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 11.28 44.12 5124 578 Observed
~R1079 11.82 49.62 5508 651 Observed
~R1108 11.73 50.00 5318 624 Observed
~R1148 12.79 54.30 5268 674 Observed
R1148~ 16.44 52.06 5468 899 Observed

Gengar Observed Statistics

Performance Metrics

Gengar has a reported usage rate of 12.84% and win rate of 50.32% in Mega Evolution Battle (Pokemon Champions) (displayed tier: C). The report covers 11/02/2026 to 11/14/2026 (UTC), with 13,343 recorded battles. 1,724 wins and 1,702 losses (3,426 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 11.24% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 13.78% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=6,670 team slots), a change of +2.54 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 49.33% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=750 recorded appearances) and 48.64% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=919 recorded appearances), a change of -0.69 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.

Rating-band Observations

Across 5 available rating bands, usage ranged from 11.28% (~R1054; n=5,124 team slots) to 16.44% (R1148~; n=5,468 team slots), a spread of 5.16 percentage points. Overall usage was 12.84%. 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 (1,045; 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: Scrafty: 53.2% wins in 1,605 recorded pair observations; Sableye: 48.3% wins in 1,348 recorded pair observations; Clefable: 49.9% wins in 1,325 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: Dragalge: 69.0% wins in 42 recorded pair observations; Banette: 66.7% wins in 45 recorded pair observations; Alakazam: 63.6% wins in 88 recorded pair observations. Returned lower-win-rate opponent group: Delphox: 43.7% wins in 284 recorded pair observations; Kangaskhan: 43.8% wins in 580 recorded pair observations; Gyarados: 44.1% wins in 429 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%

Scrafty
Scrafty1605 recorded pair observations · 12.03 pair observations per 100 analyzed battles
53.2%
Sableye
Sableye1348 recorded pair observations · 10.10 pair observations per 100 analyzed battles
48.3%
Clefable
Clefable1325 recorded pair observations · 9.93 pair observations per 100 analyzed battles
49.9%
Garchomp
Garchomp1283 recorded pair observations · 9.62 pair observations per 100 analyzed battles
52.3%
Blastoise
Blastoise868 recorded pair observations · 6.51 pair observations per 100 analyzed battles
53.9%
Altaria
Altaria780 recorded pair observations · 5.85 pair observations per 100 analyzed battles
54.4%
Kangaskhan
Kangaskhan683 recorded pair observations · 5.12 pair observations per 100 analyzed battles
56.7%
Tyranitar
Tyranitar636 recorded pair observations · 4.77 pair observations per 100 analyzed battles
49.8%
Gyarados
Gyarados594 recorded pair observations · 4.45 pair observations per 100 analyzed battles
52.7%
Excadrill
Excadrill580 recorded pair observations · 4.35 pair observations per 100 analyzed battles
52.8%
Raichu
Raichu579 recorded pair observations · 4.34 pair observations per 100 analyzed battles
45.1%
Salamence
Salamence478 recorded pair observations · 3.58 pair observations per 100 analyzed battles
53.4%
Swampert
Swampert474 recorded pair observations · 3.55 pair observations per 100 analyzed battles
50.0%
Staraptor
Staraptor457 recorded pair observations · 3.43 pair observations per 100 analyzed battles
50.5%
Metagross
Metagross384 recorded pair observations · 2.88 pair observations per 100 analyzed battles
54.2%
Golisopod
Golisopod340 recorded pair observations · 2.55 pair observations per 100 analyzed battles
52.6%
Floette-Eternal
Floette-Eternal322 recorded pair observations · 2.41 pair observations per 100 analyzed battles
58.7%
Aerodactyl
Aerodactyl276 recorded pair observations · 2.07 pair observations per 100 analyzed battles
46.7%
Scizor
Scizor236 recorded pair observations · 1.77 pair observations per 100 analyzed battles
49.6%
Gardevoir
Gardevoir230 recorded pair observations · 1.72 pair observations per 100 analyzed battles
47.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1483 recorded pair observations · 11.11 pair observations per 100 analyzed battles
48.5%
Clefable
Clefable1224 recorded pair observations · 9.17 pair observations per 100 analyzed battles
50.5%
Sableye
Sableye1023 recorded pair observations · 7.67 pair observations per 100 analyzed battles
53.2%
Scrafty
Scrafty914 recorded pair observations · 6.85 pair observations per 100 analyzed battles
46.2%
Tyranitar
Tyranitar873 recorded pair observations · 6.54 pair observations per 100 analyzed battles
49.6%
Excadrill
Excadrill735 recorded pair observations · 5.51 pair observations per 100 analyzed battles
48.8%
Raichu
Raichu662 recorded pair observations · 4.96 pair observations per 100 analyzed battles
51.5%
Staraptor
Staraptor642 recorded pair observations · 4.81 pair observations per 100 analyzed battles
48.4%
Aerodactyl
Aerodactyl603 recorded pair observations · 4.52 pair observations per 100 analyzed battles
50.4%
Kangaskhan
Kangaskhan580 recorded pair observations · 4.35 pair observations per 100 analyzed battles
43.8%
Venusaur
Venusaur550 recorded pair observations · 4.12 pair observations per 100 analyzed battles
44.9%
Charizard
Charizard529 recorded pair observations · 3.96 pair observations per 100 analyzed battles
48.4%
Meowstic
Meowstic498 recorded pair observations · 3.73 pair observations per 100 analyzed battles
49.8%
Gardevoir
Gardevoir488 recorded pair observations · 3.66 pair observations per 100 analyzed battles
53.3%
Salamence
Salamence477 recorded pair observations · 3.57 pair observations per 100 analyzed battles
50.3%
Floette-Eternal
Floette-Eternal472 recorded pair observations · 3.54 pair observations per 100 analyzed battles
46.2%
Blastoise
Blastoise468 recorded pair observations · 3.51 pair observations per 100 analyzed battles
46.6%
Gengar
Gengar452 recorded pair observations · 3.39 pair observations per 100 analyzed battles
50.0%
Golisopod
Golisopod451 recorded pair observations · 3.38 pair observations per 100 analyzed battles
46.8%
Scizor
Scizor438 recorded pair observations · 3.28 pair observations per 100 analyzed battles
50.0%

Higher Win-rate Partners

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

Floette-Eternal
Floette-Eternal322 recorded pair observations · 2.41 pair observations per 100 analyzed battles
58.7%
Eelektross
Eelektross89 recorded pair observations · 0.67 pair observations per 100 analyzed battles
58.4%
Froslass
Froslass87 recorded pair observations · 0.65 pair observations per 100 analyzed battles
57.5%
Kangaskhan
Kangaskhan683 recorded pair observations · 5.12 pair observations per 100 analyzed battles
56.7%
Altaria
Altaria780 recorded pair observations · 5.85 pair observations per 100 analyzed battles
54.4%
Metagross
Metagross384 recorded pair observations · 2.88 pair observations per 100 analyzed battles
54.2%
Audino
Audino78 recorded pair observations · 0.58 pair observations per 100 analyzed battles
53.9%
Blastoise
Blastoise868 recorded pair observations · 6.51 pair observations per 100 analyzed battles
53.9%
Starmie
Starmie136 recorded pair observations · 1.02 pair observations per 100 analyzed battles
53.7%
Salamence
Salamence478 recorded pair observations · 3.58 pair observations per 100 analyzed battles
53.4%

Lower Win-rate Partners

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

Sceptile
Sceptile48 recorded pair observations · 0.36 pair observations per 100 analyzed battles
29.2%
Absol
Absol127 recorded pair observations · 0.95 pair observations per 100 analyzed battles
38.6%
Charizard
Charizard221 recorded pair observations · 1.66 pair observations per 100 analyzed battles
38.9%
Mawile
Mawile77 recorded pair observations · 0.58 pair observations per 100 analyzed battles
39.0%
Meowstic
Meowstic179 recorded pair observations · 1.34 pair observations per 100 analyzed battles
39.7%
Meganium
Meganium52 recorded pair observations · 0.39 pair observations per 100 analyzed battles
40.4%
Glimmora
Glimmora108 recorded pair observations · 0.81 pair observations per 100 analyzed battles
42.6%
Delphox
Delphox117 recorded pair observations · 0.88 pair observations per 100 analyzed battles
42.7%
Gallade
Gallade51 recorded pair observations · 0.38 pair observations per 100 analyzed battles
43.1%
Blaziken
Blaziken173 recorded pair observations · 1.30 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%

Dragalge
Dragalge42 recorded pair observations · 0.31 pair observations per 100 analyzed battles
69.0%
Banette
Banette45 recorded pair observations · 0.34 pair observations per 100 analyzed battles
66.7%
Alakazam
Alakazam88 recorded pair observations · 0.66 pair observations per 100 analyzed battles
63.6%
Scolipede
Scolipede52 recorded pair observations · 0.39 pair observations per 100 analyzed battles
63.5%
Meganium
Meganium97 recorded pair observations · 0.73 pair observations per 100 analyzed battles
62.9%
Audino
Audino102 recorded pair observations · 0.76 pair observations per 100 analyzed battles
61.8%
Absol
Absol117 recorded pair observations · 0.88 pair observations per 100 analyzed battles
60.7%
Eelektross
Eelektross61 recorded pair observations · 0.46 pair observations per 100 analyzed battles
60.7%
Lucario
Lucario107 recorded pair observations · 0.80 pair observations per 100 analyzed battles
58.9%
Skarmory
Skarmory125 recorded pair observations · 0.94 pair observations per 100 analyzed battles
58.4%

Lower Win-rate Opponent Teams

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

Delphox
Delphox284 recorded pair observations · 2.13 pair observations per 100 analyzed battles
43.7%
Kangaskhan
Kangaskhan580 recorded pair observations · 4.35 pair observations per 100 analyzed battles
43.8%
Gyarados
Gyarados429 recorded pair observations · 3.22 pair observations per 100 analyzed battles
44.1%
Venusaur
Venusaur550 recorded pair observations · 4.12 pair observations per 100 analyzed battles
44.9%
Floette-Eternal
Floette-Eternal472 recorded pair observations · 3.54 pair observations per 100 analyzed battles
46.2%
Scrafty
Scrafty914 recorded pair observations · 6.85 pair observations per 100 analyzed battles
46.2%
Blastoise
Blastoise468 recorded pair observations · 3.51 pair observations per 100 analyzed battles
46.6%
Chandelure
Chandelure427 recorded pair observations · 3.20 pair observations per 100 analyzed battles
46.6%
Golisopod
Golisopod451 recorded pair observations · 3.38 pair observations per 100 analyzed battles
46.8%
Froslass
Froslass187 recorded pair observations · 1.40 pair observations per 100 analyzed battles
47.6%