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

Tyranitar

Tier E

OU (Over Used)

3.79%Usage Rate
48.34%Win Rate
26.92%Lead Rate
1249Avg Rating

11329 recorded team appearances · 5477 wins · 5852 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Knock Off Recorded use in 3441 of 11329 distinct recorded team appearances (30.4%) 1823 winning team uses of 3441 recorded team uses
53.0%
Stealth Rock Recorded use in 1523 of 11329 distinct recorded team appearances (13.4%) 802 winning team uses of 1523 recorded team uses
52.7%
Stone Edge Recorded use in 1401 of 11329 distinct recorded team appearances (12.4%) 666 winning team uses of 1401 recorded team uses
47.5%
Earthquake Recorded use in 865 of 11329 distinct recorded team appearances (7.6%) 375 winning team uses of 865 recorded team uses
43.4%
Ice Punch Recorded use in 750 of 11329 distinct recorded team appearances (6.6%) 384 winning team uses of 750 recorded team uses
51.2%
Dragon Dance Recorded use in 583 of 11329 distinct recorded team appearances (5.1%) 238 winning team uses of 583 recorded team uses
40.8%
Ice Beam Recorded use in 475 of 11329 distinct recorded team appearances (4.2%) 249 winning team uses of 475 recorded team uses
52.4%
Low Kick Recorded use in 469 of 11329 distinct recorded team appearances (4.1%) 244 winning team uses of 469 recorded team uses
52.0%
Crunch Recorded use in 392 of 11329 distinct recorded team appearances (3.5%) 191 winning team uses of 392 recorded team uses
48.7%
Thunder Wave Recorded use in 311 of 11329 distinct recorded team appearances (2.7%) 152 winning team uses of 311 recorded team uses
48.9%

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 15:45 JST 3.50 48.64 74642 2613 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 3.84 48.53 74642 2864 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 4.20 47.97 74640 3133 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 3.64 48.29 74640 2719 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 4.02 48.02 60200 2420 Observed
~R1156 3.90 47.30 59416 2319 Observed
~R1268 3.65 47.58 59484 2171 Observed
~R1398 3.32 47.99 59960 1990 Observed
R1398~ 4.08 50.64 59504 2429 Observed

Tyranitar Observed Statistics

Performance Metrics

Tyranitar has a reported usage rate of 3.79% and win rate of 48.34% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 5,477 wins and 5,852 losses (11,329 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 3.50% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 3.64% 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 +0.14 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 48.64% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=2,613 recorded appearances) and 48.29% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=2,719 recorded appearances), a change of -0.35 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 3.32% (~R1398; n=59,960 team slots) to 4.08% (R1398~; n=59,504 team slots), a spread of 0.76 percentage points. Overall usage was 3.79%. 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, Knock Off has the largest recorded team-use count (3,441; 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: Excadrill: 51.1% wins in 4,961 recorded pair observations; Corviknight: 49.9% wins in 2,115 recorded pair observations; Dragapult: 51.1% wins in 1,450 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: Zoroark-Hisui: 61.2% wins in 152 recorded pair observations; Indeedee: 58.0% wins in 162 recorded pair observations; Skeledirge: 57.0% wins in 221 recorded pair observations. Returned lower-win-rate opponent group: Tornadus-Therian: 39.3% wins in 341 recorded pair observations; Ursaluna: 40.4% wins in 322 recorded pair observations; Moltres: 40.9% wins in 494 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%

Excadrill
Excadrill4961 recorded pair observations · 3.32 pair observations per 100 analyzed battles
51.1%
Corviknight
Corviknight2115 recorded pair observations · 1.42 pair observations per 100 analyzed battles
49.9%
Dragapult
Dragapult1450 recorded pair observations · 0.97 pair observations per 100 analyzed battles
51.1%
Garchomp
Garchomp1309 recorded pair observations · 0.88 pair observations per 100 analyzed battles
46.9%
Gholdengo
Gholdengo1197 recorded pair observations · 0.80 pair observations per 100 analyzed battles
49.0%
Great Tusk
Great Tusk1186 recorded pair observations · 0.79 pair observations per 100 analyzed battles
48.6%
Gliscor
Gliscor1088 recorded pair observations · 0.73 pair observations per 100 analyzed battles
44.7%
Heatran
Heatran1051 recorded pair observations · 0.70 pair observations per 100 analyzed battles
51.2%
Iron Valiant
Iron Valiant979 recorded pair observations · 0.66 pair observations per 100 analyzed battles
49.7%
Tornadus-Therian
Tornadus-Therian963 recorded pair observations · 0.65 pair observations per 100 analyzed battles
51.1%
Dragonite
Dragonite946 recorded pair observations · 0.63 pair observations per 100 analyzed battles
49.6%
Rillaboom
Rillaboom925 recorded pair observations · 0.62 pair observations per 100 analyzed battles
51.1%
Ogerpon-Wellspring
Ogerpon-Wellspring910 recorded pair observations · 0.61 pair observations per 100 analyzed battles
52.9%
Moltres
Moltres907 recorded pair observations · 0.61 pair observations per 100 analyzed battles
54.9%
Zapdos
Zapdos890 recorded pair observations · 0.60 pair observations per 100 analyzed battles
53.3%
Alomomola
Alomomola888 recorded pair observations · 0.59 pair observations per 100 analyzed battles
51.0%
Kingambit
Kingambit851 recorded pair observations · 0.57 pair observations per 100 analyzed battles
50.3%
Landorus-Therian
Landorus-Therian835 recorded pair observations · 0.56 pair observations per 100 analyzed battles
49.7%
Garganacl
Garganacl833 recorded pair observations · 0.56 pair observations per 100 analyzed battles
49.8%
Scizor
Scizor764 recorded pair observations · 0.51 pair observations per 100 analyzed battles
46.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk3080 recorded pair observations · 2.06 pair observations per 100 analyzed battles
45.7%
Gholdengo
Gholdengo2292 recorded pair observations · 1.54 pair observations per 100 analyzed battles
44.9%
Kingambit
Kingambit2269 recorded pair observations · 1.52 pair observations per 100 analyzed battles
45.8%
Dragonite
Dragonite1614 recorded pair observations · 1.08 pair observations per 100 analyzed battles
49.1%
Gliscor
Gliscor1567 recorded pair observations · 1.05 pair observations per 100 analyzed battles
47.1%
Dragapult
Dragapult1564 recorded pair observations · 1.05 pair observations per 100 analyzed battles
47.0%
Ogerpon-Wellspring
Ogerpon-Wellspring1556 recorded pair observations · 1.04 pair observations per 100 analyzed battles
44.7%
Zamazenta-*
Zamazenta-*1529 recorded pair observations · 1.02 pair observations per 100 analyzed battles
43.0%
Iron Valiant
Iron Valiant1517 recorded pair observations · 1.02 pair observations per 100 analyzed battles
46.2%
Corviknight
Corviknight1413 recorded pair observations · 0.95 pair observations per 100 analyzed battles
46.6%
Raging Bolt
Raging Bolt1298 recorded pair observations · 0.87 pair observations per 100 analyzed battles
45.5%
Slowking-Galar
Slowking-Galar1256 recorded pair observations · 0.84 pair observations per 100 analyzed battles
46.3%
Hatterene
Hatterene1248 recorded pair observations · 0.84 pair observations per 100 analyzed battles
47.4%
Cinderace
Cinderace1210 recorded pair observations · 0.81 pair observations per 100 analyzed battles
49.1%
Alomomola
Alomomola1120 recorded pair observations · 0.75 pair observations per 100 analyzed battles
44.2%
Samurott-Hisui
Samurott-Hisui1096 recorded pair observations · 0.73 pair observations per 100 analyzed battles
45.4%
Landorus-Therian
Landorus-Therian1074 recorded pair observations · 0.72 pair observations per 100 analyzed battles
45.1%
Kyurem
Kyurem1029 recorded pair observations · 0.69 pair observations per 100 analyzed battles
50.0%
Iron Treads
Iron Treads1018 recorded pair observations · 0.68 pair observations per 100 analyzed battles
46.5%
Ceruledge
Ceruledge1014 recorded pair observations · 0.68 pair observations per 100 analyzed battles
52.6%

Higher Win-rate Partners

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

Ursaluna
Ursaluna276 recorded pair observations · 0.18 pair observations per 100 analyzed battles
62.7%
Keldeo-Resolute
Keldeo-Resolute414 recorded pair observations · 0.28 pair observations per 100 analyzed battles
56.0%
Enamorus
Enamorus184 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.4%
Moltres
Moltres907 recorded pair observations · 0.61 pair observations per 100 analyzed battles
54.9%
Zamazenta-*
Zamazenta-*704 recorded pair observations · 0.47 pair observations per 100 analyzed battles
54.7%
Kommo-o
Kommo-o176 recorded pair observations · 0.12 pair observations per 100 analyzed battles
54.5%
Ogerpon-Cornerstone
Ogerpon-Cornerstone605 recorded pair observations · 0.41 pair observations per 100 analyzed battles
54.4%
Weezing-Galar
Weezing-Galar316 recorded pair observations · 0.21 pair observations per 100 analyzed battles
54.4%
Sinistcha
Sinistcha630 recorded pair observations · 0.42 pair observations per 100 analyzed battles
54.1%
Pecharunt
Pecharunt490 recorded pair observations · 0.33 pair observations per 100 analyzed battles
53.9%

Lower Win-rate Partners

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

Pawmot
Pawmot151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
32.5%
Blaziken
Blaziken178 recorded pair observations · 0.12 pair observations per 100 analyzed battles
36.0%
Suicune
Suicune146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
37.0%
Gengar
Gengar151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
39.7%
Salamence
Salamence176 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.8%
Gastrodon
Gastrodon257 recorded pair observations · 0.17 pair observations per 100 analyzed battles
40.9%
Deoxys-Speed
Deoxys-Speed210 recorded pair observations · 0.14 pair observations per 100 analyzed battles
41.4%
Serperior
Serperior251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
41.8%
Talonflame
Talonflame152 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.1%
Snorlax
Snorlax243 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.4%

Higher Win-rate Opponent Teams

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

Zoroark-Hisui
Zoroark-Hisui152 recorded pair observations · 0.10 pair observations per 100 analyzed battles
61.2%
Indeedee
Indeedee162 recorded pair observations · 0.11 pair observations per 100 analyzed battles
58.0%
Skeledirge
Skeledirge221 recorded pair observations · 0.15 pair observations per 100 analyzed battles
57.0%
Venusaur
Venusaur236 recorded pair observations · 0.16 pair observations per 100 analyzed battles
56.8%
Ninetales
Ninetales298 recorded pair observations · 0.20 pair observations per 100 analyzed battles
56.0%
Cloyster
Cloyster163 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.2%
Arcanine-Hisui
Arcanine-Hisui159 recorded pair observations · 0.11 pair observations per 100 analyzed battles
54.1%
Ribombee
Ribombee240 recorded pair observations · 0.16 pair observations per 100 analyzed battles
53.8%
Slither Wing
Slither Wing189 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.9%
Clodsire
Clodsire351 recorded pair observations · 0.24 pair observations per 100 analyzed battles
52.7%

Lower Win-rate Opponent Teams

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

Tornadus-Therian
Tornadus-Therian341 recorded pair observations · 0.23 pair observations per 100 analyzed battles
39.3%
Ursaluna
Ursaluna322 recorded pair observations · 0.22 pair observations per 100 analyzed battles
40.4%
Moltres
Moltres494 recorded pair observations · 0.33 pair observations per 100 analyzed battles
40.9%
Rillaboom
Rillaboom890 recorded pair observations · 0.60 pair observations per 100 analyzed battles
42.6%
Weezing-Galar
Weezing-Galar448 recorded pair observations · 0.30 pair observations per 100 analyzed battles
42.9%
Lokix
Lokix342 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.0%
Zamazenta-*
Zamazenta-*1529 recorded pair observations · 1.02 pair observations per 100 analyzed battles
43.0%
Ogerpon
Ogerpon435 recorded pair observations · 0.29 pair observations per 100 analyzed battles
43.7%
Iron Crown
Iron Crown425 recorded pair observations · 0.28 pair observations per 100 analyzed battles
43.8%
Latias
Latias145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.1%