Last Updated: 10/26/2026 11:03 [UTC]

Gholdengo

Tier B

BSS Regulation M-C (Pokemon Champions)

18.68%Usage Rate
52.21%Win Rate
11.62%Lead Rate
36.94%Selection Rate
1203Avg Rating

9373 recorded team appearances · 4894 wins · 4479 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Shadow Ball Recorded use in 2026 of 9373 distinct recorded team appearances (21.6%) 1066 winning team uses of 2026 recorded team uses
52.6%
Nasty Plot Recorded use in 1176 of 9373 distinct recorded team appearances (12.5%) 586 winning team uses of 1176 recorded team uses
49.8%
Make It Rain Recorded use in 845 of 9373 distinct recorded team appearances (9.0%) 482 winning team uses of 845 recorded team uses
57.0%
Recover Recorded use in 459 of 9373 distinct recorded team appearances (4.9%) 240 winning team uses of 459 recorded team uses
52.3%
Flash Cannon Recorded use in 307 of 9373 distinct recorded team appearances (3.3%) 145 winning team uses of 307 recorded team uses
47.2%
Thunderbolt Recorded use in 131 of 9373 distinct recorded team appearances (1.4%) 70 winning team uses of 131 recorded team uses
53.4%
Trick Recorded use in 69 of 9373 distinct recorded team appearances (0.7%) 34 winning team uses of 69 recorded team uses
49.3%
Reflect Recorded use in 67 of 9373 distinct recorded team appearances (0.7%) 43 winning team uses of 67 recorded team uses
64.2%
Light Screen Recorded use in 62 of 9373 distinct recorded team appearances (0.7%) 43 winning team uses of 62 recorded team uses
69.4%
Power Gem Recorded use in 30 of 9373 distinct recorded team appearances (0.3%) 15 winning team uses of 30 recorded team uses
50.0%

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 20.90 52.46 12542 2621 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 16.74 51.69 12542 2099 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 18.35 52.98 12542 2301 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 18.76 51.66 12540 2352 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 17.24 54.48 9968 1718 Observed
~R1142 17.01 53.72 9958 1694 Observed
~R1208 17.98 52.94 10104 1817 Observed
~R1298 20.02 51.07 10004 2003 Observed
R1298~ 21.13 49.65 10132 2141 Observed

Gholdengo Observed Statistics

Performance Metrics

Gholdengo has a reported usage rate of 18.68% and win rate of 52.21% in BSS Regulation M-C (Pokemon Champions) (displayed tier: B). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 4,894 wins and 4,479 losses (9,373 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 20.90% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 18.76% 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 -2.14 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 52.46% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=2,621 recorded appearances) and 51.66% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=2,352 recorded appearances), a change of -0.80 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 17.01% (~R1142; n=9,958 team slots) to 21.13% (R1298~; n=10,132 team slots), a spread of 4.12 percentage points. Overall usage was 18.68%. 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, Shadow Ball has the largest recorded team-use count (2,026; 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: Salamence: 52.2% wins in 3,847 recorded pair observations; Primarina: 55.7% wins in 3,406 recorded pair observations; Garchomp: 53.1% wins in 2,813 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: Indeedee-F: 66.1% wins in 118 recorded pair observations; Barbaracle: 64.4% wins in 405 recorded pair observations; Gardevoir: 63.8% wins in 127 recorded pair observations. Returned lower-win-rate opponent group: Swampert: 44.4% wins in 432 recorded pair observations; Cinderace: 45.5% wins in 481 recorded pair observations; Basculegion: 45.7% wins in 1,314 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%

Salamence
Salamence3847 recorded pair observations · 15.34 pair observations per 100 analyzed battles
52.2%
Primarina
Primarina3406 recorded pair observations · 13.58 pair observations per 100 analyzed battles
55.7%
Garchomp
Garchomp2813 recorded pair observations · 11.21 pair observations per 100 analyzed battles
53.1%
Hippowdon
Hippowdon2318 recorded pair observations · 9.24 pair observations per 100 analyzed battles
54.0%
Umbreon
Umbreon2047 recorded pair observations · 8.16 pair observations per 100 analyzed battles
48.0%
Golisopod
Golisopod2044 recorded pair observations · 8.15 pair observations per 100 analyzed battles
59.7%
Floette-Eternal
Floette-Eternal1992 recorded pair observations · 7.94 pair observations per 100 analyzed battles
47.3%
Scolipede
Scolipede1629 recorded pair observations · 6.49 pair observations per 100 analyzed battles
44.7%
Skeledirge
Skeledirge1564 recorded pair observations · 6.24 pair observations per 100 analyzed battles
44.6%
Baxcalibur
Baxcalibur1234 recorded pair observations · 4.92 pair observations per 100 analyzed battles
53.4%
Mimikyu
Mimikyu1233 recorded pair observations · 4.92 pair observations per 100 analyzed battles
52.7%
Archaludon
Archaludon1051 recorded pair observations · 4.19 pair observations per 100 analyzed battles
61.4%
Lucario
Lucario1023 recorded pair observations · 4.08 pair observations per 100 analyzed battles
54.4%
Metagross
Metagross1004 recorded pair observations · 4.00 pair observations per 100 analyzed battles
53.1%
Meowscarada
Meowscarada911 recorded pair observations · 3.63 pair observations per 100 analyzed battles
51.9%
Dragonite
Dragonite761 recorded pair observations · 3.03 pair observations per 100 analyzed battles
54.8%
Dragapult
Dragapult759 recorded pair observations · 3.03 pair observations per 100 analyzed battles
65.1%
Gyarados
Gyarados740 recorded pair observations · 2.95 pair observations per 100 analyzed battles
54.7%
Ninetales-Alola
Ninetales-Alola717 recorded pair observations · 2.86 pair observations per 100 analyzed battles
55.1%
Rillaboom
Rillaboom651 recorded pair observations · 2.60 pair observations per 100 analyzed battles
43.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp3146 recorded pair observations · 12.54 pair observations per 100 analyzed battles
49.9%
Primarina
Primarina2251 recorded pair observations · 8.97 pair observations per 100 analyzed battles
47.2%
Archaludon
Archaludon2021 recorded pair observations · 8.06 pair observations per 100 analyzed battles
48.1%
Hippowdon
Hippowdon1786 recorded pair observations · 7.12 pair observations per 100 analyzed battles
53.4%
Mimikyu
Mimikyu1749 recorded pair observations · 6.97 pair observations per 100 analyzed battles
47.5%
Gholdengo
Gholdengo1690 recorded pair observations · 6.74 pair observations per 100 analyzed battles
50.0%
Salamence
Salamence1580 recorded pair observations · 6.30 pair observations per 100 analyzed battles
52.0%
Corviknight
Corviknight1470 recorded pair observations · 5.86 pair observations per 100 analyzed battles
52.3%
Golisopod
Golisopod1436 recorded pair observations · 5.72 pair observations per 100 analyzed battles
47.5%
Basculegion
Basculegion1314 recorded pair observations · 5.24 pair observations per 100 analyzed battles
45.7%
Lucario
Lucario1151 recorded pair observations · 4.59 pair observations per 100 analyzed battles
49.7%
Charizard
Charizard1123 recorded pair observations · 4.48 pair observations per 100 analyzed battles
51.7%
Kingambit
Kingambit1076 recorded pair observations · 4.29 pair observations per 100 analyzed battles
56.9%
Metagross
Metagross1075 recorded pair observations · 4.29 pair observations per 100 analyzed battles
46.6%
Baxcalibur
Baxcalibur1044 recorded pair observations · 4.16 pair observations per 100 analyzed battles
53.1%
Dragonite
Dragonite932 recorded pair observations · 3.72 pair observations per 100 analyzed battles
46.0%
Meowscarada
Meowscarada894 recorded pair observations · 3.56 pair observations per 100 analyzed battles
49.7%
Clefable
Clefable809 recorded pair observations · 3.23 pair observations per 100 analyzed battles
57.5%
Gyarados
Gyarados794 recorded pair observations · 3.17 pair observations per 100 analyzed battles
56.3%
Scizor
Scizor791 recorded pair observations · 3.15 pair observations per 100 analyzed battles
57.5%

Higher Win-rate Partners

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

Dragapult
Dragapult759 recorded pair observations · 3.03 pair observations per 100 analyzed battles
65.1%
Archaludon
Archaludon1051 recorded pair observations · 4.19 pair observations per 100 analyzed battles
61.4%
Golisopod
Golisopod2044 recorded pair observations · 8.15 pair observations per 100 analyzed battles
59.7%
Basculegion
Basculegion376 recorded pair observations · 1.50 pair observations per 100 analyzed battles
59.0%
Toxapex
Toxapex434 recorded pair observations · 1.73 pair observations per 100 analyzed battles
59.0%
Samurott-Hisui
Samurott-Hisui646 recorded pair observations · 2.58 pair observations per 100 analyzed battles
58.2%
Rotom-Heat
Rotom-Heat259 recorded pair observations · 1.03 pair observations per 100 analyzed battles
57.9%
Hydreigon
Hydreigon305 recorded pair observations · 1.22 pair observations per 100 analyzed battles
57.7%
Ditto
Ditto292 recorded pair observations · 1.16 pair observations per 100 analyzed battles
56.9%
Lopunny
Lopunny166 recorded pair observations · 0.66 pair observations per 100 analyzed battles
56.6%

Lower Win-rate Partners

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

Incineroar
Incineroar140 recorded pair observations · 0.56 pair observations per 100 analyzed battles
33.6%
Excadrill
Excadrill100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
41.0%
Raichu
Raichu323 recorded pair observations · 1.29 pair observations per 100 analyzed battles
41.2%
Milotic
Milotic149 recorded pair observations · 0.59 pair observations per 100 analyzed battles
43.0%
Rillaboom
Rillaboom651 recorded pair observations · 2.60 pair observations per 100 analyzed battles
43.8%
Skeledirge
Skeledirge1564 recorded pair observations · 6.24 pair observations per 100 analyzed battles
44.6%
Scolipede
Scolipede1629 recorded pair observations · 6.49 pair observations per 100 analyzed battles
44.7%
Aegislash
Aegislash121 recorded pair observations · 0.48 pair observations per 100 analyzed battles
46.3%
Sneasler
Sneasler265 recorded pair observations · 1.06 pair observations per 100 analyzed battles
46.4%
Greninja
Greninja284 recorded pair observations · 1.13 pair observations per 100 analyzed battles
46.5%

Higher Win-rate Opponent Teams

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

Indeedee-F
Indeedee-F118 recorded pair observations · 0.47 pair observations per 100 analyzed battles
66.1%
Barbaracle
Barbaracle405 recorded pair observations · 1.61 pair observations per 100 analyzed battles
64.4%
Gardevoir
Gardevoir127 recorded pair observations · 0.51 pair observations per 100 analyzed battles
63.8%
Incineroar
Incineroar176 recorded pair observations · 0.70 pair observations per 100 analyzed battles
63.6%
Araquanid
Araquanid240 recorded pair observations · 0.96 pair observations per 100 analyzed battles
62.1%
Sylveon
Sylveon165 recorded pair observations · 0.66 pair observations per 100 analyzed battles
61.2%
Armarouge
Armarouge109 recorded pair observations · 0.43 pair observations per 100 analyzed battles
60.5%
Grimmsnarl
Grimmsnarl309 recorded pair observations · 1.23 pair observations per 100 analyzed battles
59.5%
Scolipede
Scolipede341 recorded pair observations · 1.36 pair observations per 100 analyzed battles
59.5%
Kangaskhan
Kangaskhan123 recorded pair observations · 0.49 pair observations per 100 analyzed battles
59.4%

Lower Win-rate Opponent Teams

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

Swampert
Swampert432 recorded pair observations · 1.72 pair observations per 100 analyzed battles
44.4%
Cinderace
Cinderace481 recorded pair observations · 1.92 pair observations per 100 analyzed battles
45.5%
Basculegion
Basculegion1314 recorded pair observations · 5.24 pair observations per 100 analyzed battles
45.7%
Arcanine-Hisui
Arcanine-Hisui146 recorded pair observations · 0.58 pair observations per 100 analyzed battles
45.9%
Dragonite
Dragonite932 recorded pair observations · 3.72 pair observations per 100 analyzed battles
46.0%
Banette
Banette240 recorded pair observations · 0.96 pair observations per 100 analyzed battles
46.2%
Metagross
Metagross1075 recorded pair observations · 4.29 pair observations per 100 analyzed battles
46.6%
Pawmot
Pawmot453 recorded pair observations · 1.81 pair observations per 100 analyzed battles
46.6%
Ditto
Ditto323 recorded pair observations · 1.29 pair observations per 100 analyzed battles
46.8%
Indeedee
Indeedee723 recorded pair observations · 2.88 pair observations per 100 analyzed battles
46.8%