Last Updated: 10/10/2026 14:12 [UTC]

Mandibuzz

Tier E

OU (Over Used)

1.35%Usage Rate
50.22%Win Rate
7.33%Lead Rate
1261Avg Rating

4040 recorded team appearances · 2029 wins · 2011 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Foul Play Recorded use in 1263 of 4040 distinct recorded team appearances (31.3%) 684 winning team uses of 1263 recorded team uses
54.2%
Roost Recorded use in 1096 of 4040 distinct recorded team appearances (27.1%) 577 winning team uses of 1096 recorded team uses
52.6%
U-turn Recorded use in 938 of 4040 distinct recorded team appearances (23.2%) 451 winning team uses of 938 recorded team uses
48.1%
Toxic Recorded use in 807 of 4040 distinct recorded team appearances (20.0%) 426 winning team uses of 807 recorded team uses
52.8%
Defog Recorded use in 802 of 4040 distinct recorded team appearances (19.9%) 400 winning team uses of 802 recorded team uses
49.9%
Knock Off Recorded use in 560 of 4040 distinct recorded team appearances (13.9%) 265 winning team uses of 560 recorded team uses
47.3%
Brave Bird Recorded use in 53 of 4040 distinct recorded team appearances (1.3%) 28 winning team uses of 53 recorded team uses
52.8%
Whirlwind Recorded use in 46 of 4040 distinct recorded team appearances (1.1%) 23 winning team uses of 46 recorded team uses
50.0%
Dark Pulse Recorded use in 43 of 4040 distinct recorded team appearances (1.1%) 19 winning team uses of 43 recorded team uses
44.2%
Taunt Recorded use in 34 of 4040 distinct recorded team appearances (0.8%) 18 winning team uses of 34 recorded team uses
52.9%

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: 2026/09/26 23:07–2026/09/30 15:46 JST 1.33 51.86 74644 993 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.18 50.74 74642 883 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:56 JST 1.55 51.17 74642 1157 Observed
Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST 1.35 47.07 74642 1007 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 0.90 50.37 60202 540 Observed
~R1156 1.18 53.36 59416 699 Observed
~R1268 1.49 50.79 59484 888 Observed
~R1398 1.95 48.68 59962 1171 Observed
R1398~ 1.25 48.92 59506 742 Observed

Mandibuzz Observed Statistics

Performance Metrics

Mandibuzz has a reported usage rate of 1.35% and win rate of 50.22% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,285 recorded battles. 2,029 wins and 2,011 losses (4,040 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 1.33% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=74,644 team slots) and 1.35% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=74,642 team slots), a change of +0.02 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 51.86% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=993 recorded appearances) and 47.07% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=1,007 recorded appearances), a change of -4.79 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 0.90% (~R1084; n=60,202 team slots) to 1.95% (~R1398; n=59,962 team slots), a spread of 1.05 percentage points. Overall usage was 1.35%. 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, Foul Play has the largest recorded team-use count (1,263; 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: Great Tusk: 50.2% wins in 1,180 recorded pair observations; Iron Valiant: 53.3% wins in 1,134 recorded pair observations; Alomomola: 53.8% wins in 1,096 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: Garganacl: 59.7% wins in 221 recorded pair observations; Dondozo: 56.3% wins in 151 recorded pair observations; Scizor: 54.9% wins in 193 recorded pair observations. Returned lower-win-rate opponent group: Ting-Lu: 43.3% wins in 307 recorded pair observations; Iron Moth: 44.0% wins in 332 recorded pair observations; Kyurem: 44.2% wins in 412 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%

Great Tusk
Great Tusk1180 recorded pair observations · 0.79 pair observations per 100 analyzed battles
50.2%
Iron Valiant
Iron Valiant1134 recorded pair observations · 0.76 pair observations per 100 analyzed battles
53.3%
Alomomola
Alomomola1096 recorded pair observations · 0.73 pair observations per 100 analyzed battles
53.8%
Gholdengo
Gholdengo1018 recorded pair observations · 0.68 pair observations per 100 analyzed battles
53.0%
Lokix
Lokix929 recorded pair observations · 0.62 pair observations per 100 analyzed battles
54.7%
Gliscor
Gliscor594 recorded pair observations · 0.40 pair observations per 100 analyzed battles
52.2%
Toxapex
Toxapex509 recorded pair observations · 0.34 pair observations per 100 analyzed battles
52.6%
Slowking-Galar
Slowking-Galar496 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.6%
Blissey
Blissey489 recorded pair observations · 0.33 pair observations per 100 analyzed battles
54.0%
Dondozo
Dondozo426 recorded pair observations · 0.29 pair observations per 100 analyzed battles
54.2%
Iron Treads
Iron Treads382 recorded pair observations · 0.26 pair observations per 100 analyzed battles
53.1%
Kyurem
Kyurem377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.5%
Talonflame
Talonflame312 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.0%
Raging Bolt
Raging Bolt305 recorded pair observations · 0.20 pair observations per 100 analyzed battles
52.1%
Dragapult
Dragapult275 recorded pair observations · 0.18 pair observations per 100 analyzed battles
50.2%
Clodsire
Clodsire265 recorded pair observations · 0.18 pair observations per 100 analyzed battles
57.0%
Heatran
Heatran256 recorded pair observations · 0.17 pair observations per 100 analyzed battles
53.5%
Pecharunt
Pecharunt243 recorded pair observations · 0.16 pair observations per 100 analyzed battles
53.9%
Slowking
Slowking229 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.7%
Landorus-Therian
Landorus-Therian214 recorded pair observations · 0.14 pair observations per 100 analyzed battles
52.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1103 recorded pair observations · 0.74 pair observations per 100 analyzed battles
47.1%
Gholdengo
Gholdengo850 recorded pair observations · 0.57 pair observations per 100 analyzed battles
46.0%
Kingambit
Kingambit816 recorded pair observations · 0.55 pair observations per 100 analyzed battles
48.6%
Dragonite
Dragonite633 recorded pair observations · 0.42 pair observations per 100 analyzed battles
48.3%
Zamazenta-*
Zamazenta-*570 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.8%
Ogerpon-Wellspring
Ogerpon-Wellspring564 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.7%
Dragapult
Dragapult555 recorded pair observations · 0.37 pair observations per 100 analyzed battles
50.6%
Iron Valiant
Iron Valiant542 recorded pair observations · 0.36 pair observations per 100 analyzed battles
48.1%
Gliscor
Gliscor537 recorded pair observations · 0.36 pair observations per 100 analyzed battles
49.4%
Slowking-Galar
Slowking-Galar491 recorded pair observations · 0.33 pair observations per 100 analyzed battles
44.8%
Hatterene
Hatterene487 recorded pair observations · 0.33 pair observations per 100 analyzed battles
50.1%
Corviknight
Corviknight473 recorded pair observations · 0.32 pair observations per 100 analyzed battles
46.7%
Cinderace
Cinderace456 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.4%
Landorus-Therian
Landorus-Therian452 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.9%
Raging Bolt
Raging Bolt447 recorded pair observations · 0.30 pair observations per 100 analyzed battles
44.7%
Alomomola
Alomomola426 recorded pair observations · 0.29 pair observations per 100 analyzed battles
50.5%
Samurott-Hisui
Samurott-Hisui418 recorded pair observations · 0.28 pair observations per 100 analyzed battles
47.1%
Kyurem
Kyurem412 recorded pair observations · 0.28 pair observations per 100 analyzed battles
44.2%
Iron Treads
Iron Treads396 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.5%
Darkrai
Darkrai391 recorded pair observations · 0.26 pair observations per 100 analyzed battles
46.5%

Higher Win-rate Partners

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

Ursaluna
Ursaluna158 recorded pair observations · 0.11 pair observations per 100 analyzed battles
62.0%
Talonflame
Talonflame312 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.0%
Weezing-Galar
Weezing-Galar188 recorded pair observations · 0.13 pair observations per 100 analyzed battles
58.0%
Clodsire
Clodsire265 recorded pair observations · 0.18 pair observations per 100 analyzed battles
57.0%
Sinistcha
Sinistcha146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.8%
Lokix
Lokix929 recorded pair observations · 0.62 pair observations per 100 analyzed battles
54.7%
Keldeo-Resolute
Keldeo-Resolute193 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.4%
Dondozo
Dondozo426 recorded pair observations · 0.29 pair observations per 100 analyzed battles
54.2%
Blissey
Blissey489 recorded pair observations · 0.33 pair observations per 100 analyzed battles
54.0%
Dragonite
Dragonite187 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.0%

Lower Win-rate Partners

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

Vikavolt
Vikavolt149 recorded pair observations · 0.10 pair observations per 100 analyzed battles
34.9%
Cinderace
Cinderace175 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.0%
Scizor
Scizor156 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.1%
Slowking
Slowking229 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.7%
Clefable
Clefable213 recorded pair observations · 0.14 pair observations per 100 analyzed battles
48.4%
Slowking-Galar
Slowking-Galar496 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.6%
Garganacl
Garganacl175 recorded pair observations · 0.12 pair observations per 100 analyzed battles
49.7%
Dragapult
Dragapult275 recorded pair observations · 0.18 pair observations per 100 analyzed battles
50.2%
Great Tusk
Great Tusk1180 recorded pair observations · 0.79 pair observations per 100 analyzed battles
50.2%

Higher Win-rate Opponent Teams

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

Garganacl
Garganacl221 recorded pair observations · 0.15 pair observations per 100 analyzed battles
59.7%
Dondozo
Dondozo151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
56.3%
Scizor
Scizor193 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.9%
Ogerpon
Ogerpon162 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.5%
Garchomp
Garchomp233 recorded pair observations · 0.16 pair observations per 100 analyzed battles
51.5%
Meowscarada
Meowscarada209 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.2%
Clefable
Clefable219 recorded pair observations · 0.15 pair observations per 100 analyzed battles
51.1%
Rillaboom
Rillaboom323 recorded pair observations · 0.22 pair observations per 100 analyzed battles
50.8%
Lokix
Lokix148 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.7%
Dragapult
Dragapult555 recorded pair observations · 0.37 pair observations per 100 analyzed battles
50.6%

Lower Win-rate Opponent Teams

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

Ting-Lu
Ting-Lu307 recorded pair observations · 0.21 pair observations per 100 analyzed battles
43.3%
Iron Moth
Iron Moth332 recorded pair observations · 0.22 pair observations per 100 analyzed battles
44.0%
Kyurem
Kyurem412 recorded pair observations · 0.28 pair observations per 100 analyzed battles
44.2%
Enamorus
Enamorus144 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.4%
Ogerpon-Wellspring
Ogerpon-Wellspring564 recorded pair observations · 0.38 pair observations per 100 analyzed battles
44.7%
Raging Bolt
Raging Bolt447 recorded pair observations · 0.30 pair observations per 100 analyzed battles
44.7%
Slowking-Galar
Slowking-Galar491 recorded pair observations · 0.33 pair observations per 100 analyzed battles
44.8%
Iron Crown
Iron Crown153 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.1%
Deoxys-Speed
Deoxys-Speed217 recorded pair observations · 0.15 pair observations per 100 analyzed battles
45.6%
Gholdengo
Gholdengo850 recorded pair observations · 0.57 pair observations per 100 analyzed battles
46.0%