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

Dondozo

Tier D

OU (Over Used)

4.35%Usage Rate
50.65%Win Rate
3.71%Lead Rate
1218Avg Rating

12992 recorded team appearances · 6580 wins · 6412 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Curse Recorded use in 3428 of 12992 distinct recorded team appearances (26.4%) 1659 winning team uses of 3428 recorded team uses
48.4%
Rest Recorded use in 2573 of 12992 distinct recorded team appearances (19.8%) 1345 winning team uses of 2573 recorded team uses
52.3%
Sleep Talk Recorded use in 1763 of 12992 distinct recorded team appearances (13.6%) 907 winning team uses of 1763 recorded team uses
51.4%
Body Press Recorded use in 1721 of 12992 distinct recorded team appearances (13.2%) 875 winning team uses of 1721 recorded team uses
50.8%
Waterfall Recorded use in 1455 of 12992 distinct recorded team appearances (11.2%) 764 winning team uses of 1455 recorded team uses
52.5%
Wave Crash Recorded use in 1345 of 12992 distinct recorded team appearances (10.4%) 641 winning team uses of 1345 recorded team uses
47.7%
Liquidation Recorded use in 976 of 12992 distinct recorded team appearances (7.5%) 466 winning team uses of 976 recorded team uses
47.7%
Avalanche Recorded use in 943 of 12992 distinct recorded team appearances (7.3%) 466 winning team uses of 943 recorded team uses
49.4%
Earthquake Recorded use in 513 of 12992 distinct recorded team appearances (3.9%) 202 winning team uses of 513 recorded team uses
39.4%
Crunch Recorded use in 316 of 12992 distinct recorded team appearances (2.4%) 160 winning team uses of 316 recorded team uses
50.6%

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: 2026/09/26 23:07–2026/09/30 15:45 JST 4.41 50.12 74642 3294 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 4.12 50.59 74642 3074 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 4.27 52.54 74640 3184 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 4.61 49.45 74640 3440 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 5.31 51.66 60200 3198 Observed
~R1156 4.88 50.76 59416 2900 Observed
~R1268 4.47 49.70 59484 2656 Observed
~R1398 3.89 49.87 59960 2332 Observed
R1398~ 3.20 51.05 59504 1906 Observed

Dondozo Observed Statistics

Performance Metrics

Dondozo has a reported usage rate of 4.35% and win rate of 50.65% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 6,580 wins and 6,412 losses (12,992 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: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 4.61% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=74,640 team slots), a change of +0.20 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 50.12% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=3,294 recorded appearances) and 49.45% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=3,440 recorded appearances), a change of -0.67 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 3.20% (R1398~; n=59,504 team slots) to 5.31% (~R1084; n=60,200 team slots), a spread of 2.11 percentage points. Overall usage was 4.35%. 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, Curse has the largest recorded team-use count (3,428; 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: Gliscor: 53.5% wins in 5,840 recorded pair observations; Corviknight: 53.4% wins in 5,042 recorded pair observations; Blissey: 53.5% wins in 4,230 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: Mimikyu: 64.6% wins in 195 recorded pair observations; Quaquaval: 61.8% wins in 241 recorded pair observations; Cloyster: 61.1% wins in 175 recorded pair observations. Returned lower-win-rate opponent group: Cresselia: 40.7% wins in 305 recorded pair observations; Hoopa-Unbound: 41.9% wins in 332 recorded pair observations; Weezing-Galar: 42.1% wins in 546 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%

Gliscor
Gliscor5840 recorded pair observations · 3.91 pair observations per 100 analyzed battles
53.5%
Corviknight
Corviknight5042 recorded pair observations · 3.38 pair observations per 100 analyzed battles
53.4%
Blissey
Blissey4230 recorded pair observations · 2.83 pair observations per 100 analyzed battles
53.5%
Toxapex
Toxapex3732 recorded pair observations · 2.50 pair observations per 100 analyzed battles
52.5%
Clodsire
Clodsire3430 recorded pair observations · 2.30 pair observations per 100 analyzed battles
52.8%
Clefable
Clefable1984 recorded pair observations · 1.33 pair observations per 100 analyzed battles
52.8%
Alomomola
Alomomola1843 recorded pair observations · 1.23 pair observations per 100 analyzed battles
50.8%
Slowking-Galar
Slowking-Galar1783 recorded pair observations · 1.19 pair observations per 100 analyzed battles
53.6%
Gholdengo
Gholdengo1612 recorded pair observations · 1.08 pair observations per 100 analyzed battles
48.9%
Weezing-Galar
Weezing-Galar1493 recorded pair observations · 1.00 pair observations per 100 analyzed battles
52.6%
Ting-Lu
Ting-Lu1342 recorded pair observations · 0.90 pair observations per 100 analyzed battles
52.8%
Cinderace
Cinderace1337 recorded pair observations · 0.90 pair observations per 100 analyzed battles
53.0%
Dragapult
Dragapult1322 recorded pair observations · 0.89 pair observations per 100 analyzed battles
48.9%
Kingambit
Kingambit1228 recorded pair observations · 0.82 pair observations per 100 analyzed battles
47.4%
Garganacl
Garganacl1202 recorded pair observations · 0.81 pair observations per 100 analyzed battles
47.8%
Great Tusk
Great Tusk1145 recorded pair observations · 0.77 pair observations per 100 analyzed battles
46.5%
Kyurem
Kyurem1046 recorded pair observations · 0.70 pair observations per 100 analyzed battles
51.7%
Glimmora
Glimmora916 recorded pair observations · 0.61 pair observations per 100 analyzed battles
50.2%
Dragonite
Dragonite693 recorded pair observations · 0.46 pair observations per 100 analyzed battles
48.6%
Iron Valiant
Iron Valiant692 recorded pair observations · 0.46 pair observations per 100 analyzed battles
51.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk3343 recorded pair observations · 2.24 pair observations per 100 analyzed battles
46.6%
Gholdengo
Gholdengo2613 recorded pair observations · 1.75 pair observations per 100 analyzed battles
45.2%
Kingambit
Kingambit2550 recorded pair observations · 1.71 pair observations per 100 analyzed battles
48.5%
Dragonite
Dragonite1949 recorded pair observations · 1.31 pair observations per 100 analyzed battles
52.1%
Gliscor
Gliscor1926 recorded pair observations · 1.29 pair observations per 100 analyzed battles
48.6%
Dragapult
Dragapult1851 recorded pair observations · 1.24 pair observations per 100 analyzed battles
51.0%
Corviknight
Corviknight1744 recorded pair observations · 1.17 pair observations per 100 analyzed battles
51.8%
Ogerpon-Wellspring
Ogerpon-Wellspring1728 recorded pair observations · 1.16 pair observations per 100 analyzed battles
44.4%
Iron Valiant
Iron Valiant1699 recorded pair observations · 1.14 pair observations per 100 analyzed battles
50.0%
Zamazenta-*
Zamazenta-*1674 recorded pair observations · 1.12 pair observations per 100 analyzed battles
50.8%
Raging Bolt
Raging Bolt1390 recorded pair observations · 0.93 pair observations per 100 analyzed battles
48.4%
Cinderace
Cinderace1362 recorded pair observations · 0.91 pair observations per 100 analyzed battles
48.3%
Slowking-Galar
Slowking-Galar1345 recorded pair observations · 0.90 pair observations per 100 analyzed battles
46.0%
Hatterene
Hatterene1336 recorded pair observations · 0.89 pair observations per 100 analyzed battles
46.0%
Alomomola
Alomomola1296 recorded pair observations · 0.87 pair observations per 100 analyzed battles
47.4%
Landorus-Therian
Landorus-Therian1246 recorded pair observations · 0.83 pair observations per 100 analyzed battles
48.7%
Samurott-Hisui
Samurott-Hisui1175 recorded pair observations · 0.79 pair observations per 100 analyzed battles
50.3%
Glimmora
Glimmora1168 recorded pair observations · 0.78 pair observations per 100 analyzed battles
49.4%
Kyurem
Kyurem1139 recorded pair observations · 0.76 pair observations per 100 analyzed battles
44.2%
Ceruledge
Ceruledge1127 recorded pair observations · 0.75 pair observations per 100 analyzed battles
54.0%

Higher Win-rate Partners

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

Amoonguss
Amoonguss497 recorded pair observations · 0.33 pair observations per 100 analyzed battles
56.1%
Talonflame
Talonflame521 recorded pair observations · 0.35 pair observations per 100 analyzed battles
55.7%
Hydrapple
Hydrapple161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
54.7%
Skarmory
Skarmory189 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.5%
Mandibuzz
Mandibuzz426 recorded pair observations · 0.29 pair observations per 100 analyzed battles
54.2%
Cresselia
Cresselia291 recorded pair observations · 0.19 pair observations per 100 analyzed battles
54.0%
Sinistcha
Sinistcha291 recorded pair observations · 0.19 pair observations per 100 analyzed battles
53.6%
Slowking-Galar
Slowking-Galar1783 recorded pair observations · 1.19 pair observations per 100 analyzed battles
53.6%
Blissey
Blissey4230 recorded pair observations · 2.83 pair observations per 100 analyzed battles
53.5%
Gliscor
Gliscor5840 recorded pair observations · 3.91 pair observations per 100 analyzed battles
53.5%

Lower Win-rate Partners

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

Wo-Chien
Wo-Chien243 recorded pair observations · 0.16 pair observations per 100 analyzed battles
39.9%
Ceruledge
Ceruledge501 recorded pair observations · 0.34 pair observations per 100 analyzed battles
41.7%
Primarina
Primarina186 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.9%
Blaziken
Blaziken255 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.7%
Serperior
Serperior331 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.0%
Rillaboom
Rillaboom638 recorded pair observations · 0.43 pair observations per 100 analyzed battles
45.6%
Jirachi
Jirachi166 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.8%
Pelipper
Pelipper294 recorded pair observations · 0.20 pair observations per 100 analyzed battles
46.3%
Great Tusk
Great Tusk1145 recorded pair observations · 0.77 pair observations per 100 analyzed battles
46.5%
Ursaluna
Ursaluna234 recorded pair observations · 0.16 pair observations per 100 analyzed battles
46.6%

Higher Win-rate Opponent Teams

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

Mimikyu
Mimikyu195 recorded pair observations · 0.13 pair observations per 100 analyzed battles
64.6%
Quaquaval
Quaquaval241 recorded pair observations · 0.16 pair observations per 100 analyzed battles
61.8%
Cloyster
Cloyster175 recorded pair observations · 0.12 pair observations per 100 analyzed battles
61.1%
Umbreon
Umbreon145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
59.3%
Milotic
Milotic161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
59.0%
Metagross
Metagross194 recorded pair observations · 0.13 pair observations per 100 analyzed battles
58.8%
Espeon
Espeon152 recorded pair observations · 0.10 pair observations per 100 analyzed battles
58.5%
Greninja-*
Greninja-*358 recorded pair observations · 0.24 pair observations per 100 analyzed battles
57.3%
Kommo-o
Kommo-o239 recorded pair observations · 0.16 pair observations per 100 analyzed battles
57.3%
Gengar
Gengar281 recorded pair observations · 0.19 pair observations per 100 analyzed battles
56.6%

Lower Win-rate Opponent Teams

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

Cresselia
Cresselia305 recorded pair observations · 0.20 pair observations per 100 analyzed battles
40.7%
Hoopa-Unbound
Hoopa-Unbound332 recorded pair observations · 0.22 pair observations per 100 analyzed battles
41.9%
Weezing-Galar
Weezing-Galar546 recorded pair observations · 0.37 pair observations per 100 analyzed battles
42.1%
Mandibuzz
Mandibuzz151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.7%
Volcanion
Volcanion226 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.8%
Kyurem
Kyurem1139 recorded pair observations · 0.76 pair observations per 100 analyzed battles
44.2%
Tornadus-Therian
Tornadus-Therian418 recorded pair observations · 0.28 pair observations per 100 analyzed battles
44.3%
Ogerpon-Wellspring
Ogerpon-Wellspring1728 recorded pair observations · 1.16 pair observations per 100 analyzed battles
44.4%
Heatran
Heatran479 recorded pair observations · 0.32 pair observations per 100 analyzed battles
44.7%
Manaphy
Manaphy161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.7%