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

Tyranitar

Tier E

BSS Regulation M-C (Pokemon Champions)

3.23%Usage Rate
47.99%Win Rate
12.91%Lead Rate
36.57%Selection Rate
1185Avg Rating

1619 recorded team appearances · 777 wins · 842 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Knock Off Recorded use in 201 of 1619 distinct recorded team appearances (12.4%) 95 winning team uses of 201 recorded team uses
47.3%
Stone Edge Recorded use in 112 of 1619 distinct recorded team appearances (6.9%) 53 winning team uses of 112 recorded team uses
47.3%
Stealth Rock Recorded use in 89 of 1619 distinct recorded team appearances (5.5%) 46 winning team uses of 89 recorded team uses
51.7%
Earthquake Recorded use in 65 of 1619 distinct recorded team appearances (4.0%) 30 winning team uses of 65 recorded team uses
46.2%
Dragon Dance Recorded use in 64 of 1619 distinct recorded team appearances (4.0%) 23 winning team uses of 64 recorded team uses
35.9%
Ice Punch Recorded use in 63 of 1619 distinct recorded team appearances (3.9%) 42 winning team uses of 63 recorded team uses
66.7%
Rock Slide Recorded use in 32 of 1619 distinct recorded team appearances (2.0%) 21 winning team uses of 32 recorded team uses
65.6%
Rock Blast Recorded use in 31 of 1619 distinct recorded team appearances (1.9%) 13 winning team uses of 31 recorded team uses
41.9%
Rock Tomb Recorded use in 27 of 1619 distinct recorded team appearances (1.7%) 17 winning team uses of 27 recorded team uses
63.0%
Crunch Recorded use in 24 of 1619 distinct recorded team appearances (1.5%) 9 winning team uses of 24 recorded team uses
37.5%

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 2.93 46.32 12542 367 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 3.49 47.03 12542 438 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 4.07 53.82 12542 511 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 2.42 41.58 12540 303 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 3.63 40.06 9968 362 Observed
~R1142 3.11 49.03 9958 310 Observed
~R1208 3.10 46.65 10104 313 Observed
~R1298 3.25 55.08 10004 325 Observed
R1298~ 3.05 50.16 10132 309 Observed

Tyranitar Observed Statistics

Performance Metrics

Tyranitar has a reported usage rate of 3.23% and win rate of 47.99% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 777 wins and 842 losses (1,619 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 2.93% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 2.42% 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 -0.51 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 46.32% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=367 recorded appearances) and 41.58% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=303 recorded appearances), a change of -4.74 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 3.05% (R1298~; n=10,132 team slots) to 3.63% (~R1089; n=9,968 team slots), a spread of 0.58 percentage points. Overall usage was 3.23%. 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 (201; 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: Primarina: 57.8% wins in 377 recorded pair observations; Archaludon: 56.1% wins in 296 recorded pair observations; Garchomp: 49.5% wins in 293 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: Barbaracle: 62.6% wins in 83 recorded pair observations; Gliscor: 62.2% wins in 45 recorded pair observations; Ditto: 61.9% wins in 42 recorded pair observations. Returned lower-win-rate opponent group: Whimsicott: 29.2% wins in 24 recorded pair observations; Araquanid: 30.8% wins in 39 recorded pair observations; Greninja: 30.9% wins in 81 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%

Primarina
Primarina377 recorded pair observations · 1.50 pair observations per 100 analyzed battles
57.8%
Archaludon
Archaludon296 recorded pair observations · 1.18 pair observations per 100 analyzed battles
56.1%
Garchomp
Garchomp293 recorded pair observations · 1.17 pair observations per 100 analyzed battles
49.5%
Golisopod
Golisopod268 recorded pair observations · 1.07 pair observations per 100 analyzed battles
56.0%
Basculegion
Basculegion264 recorded pair observations · 1.05 pair observations per 100 analyzed battles
56.8%
Scizor
Scizor247 recorded pair observations · 0.98 pair observations per 100 analyzed battles
47.0%
Excadrill
Excadrill230 recorded pair observations · 0.92 pair observations per 100 analyzed battles
30.0%
Corviknight
Corviknight224 recorded pair observations · 0.89 pair observations per 100 analyzed battles
53.1%
Clefable
Clefable221 recorded pair observations · 0.88 pair observations per 100 analyzed battles
53.4%
Salamence
Salamence211 recorded pair observations · 0.84 pair observations per 100 analyzed battles
47.9%
Gyarados
Gyarados201 recorded pair observations · 0.80 pair observations per 100 analyzed battles
46.8%
Gholdengo
Gholdengo185 recorded pair observations · 0.74 pair observations per 100 analyzed battles
53.0%
Meganium
Meganium169 recorded pair observations · 0.67 pair observations per 100 analyzed battles
42.0%
Rillaboom
Rillaboom159 recorded pair observations · 0.63 pair observations per 100 analyzed battles
51.6%
Mimikyu
Mimikyu158 recorded pair observations · 0.63 pair observations per 100 analyzed battles
52.5%
Slowking-Galar
Slowking-Galar148 recorded pair observations · 0.59 pair observations per 100 analyzed battles
44.6%
Charizard
Charizard146 recorded pair observations · 0.58 pair observations per 100 analyzed battles
45.2%
Dragonite
Dragonite143 recorded pair observations · 0.57 pair observations per 100 analyzed battles
42.7%
Skarmory
Skarmory133 recorded pair observations · 0.53 pair observations per 100 analyzed battles
40.6%
Skeledirge
Skeledirge133 recorded pair observations · 0.53 pair observations per 100 analyzed battles
54.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp551 recorded pair observations · 2.20 pair observations per 100 analyzed battles
42.8%
Primarina
Primarina366 recorded pair observations · 1.46 pair observations per 100 analyzed battles
40.2%
Archaludon
Archaludon350 recorded pair observations · 1.40 pair observations per 100 analyzed battles
41.1%
Mimikyu
Mimikyu323 recorded pair observations · 1.29 pair observations per 100 analyzed battles
49.2%
Hippowdon
Hippowdon310 recorded pair observations · 1.24 pair observations per 100 analyzed battles
48.4%
Salamence
Salamence277 recorded pair observations · 1.10 pair observations per 100 analyzed battles
46.6%
Gholdengo
Gholdengo276 recorded pair observations · 1.10 pair observations per 100 analyzed battles
46.7%
Corviknight
Corviknight251 recorded pair observations · 1.00 pair observations per 100 analyzed battles
50.6%
Golisopod
Golisopod240 recorded pair observations · 0.96 pair observations per 100 analyzed battles
48.8%
Basculegion
Basculegion225 recorded pair observations · 0.90 pair observations per 100 analyzed battles
36.9%
Charizard
Charizard222 recorded pair observations · 0.89 pair observations per 100 analyzed battles
44.6%
Metagross
Metagross222 recorded pair observations · 0.89 pair observations per 100 analyzed battles
44.1%
Lucario
Lucario195 recorded pair observations · 0.78 pair observations per 100 analyzed battles
45.6%
Kingambit
Kingambit191 recorded pair observations · 0.76 pair observations per 100 analyzed battles
58.1%
Baxcalibur
Baxcalibur187 recorded pair observations · 0.75 pair observations per 100 analyzed battles
49.2%
Dragonite
Dragonite163 recorded pair observations · 0.65 pair observations per 100 analyzed battles
44.8%
Gyarados
Gyarados162 recorded pair observations · 0.65 pair observations per 100 analyzed battles
56.2%
Rillaboom
Rillaboom160 recorded pair observations · 0.64 pair observations per 100 analyzed battles
49.4%
Scizor
Scizor154 recorded pair observations · 0.61 pair observations per 100 analyzed battles
53.2%
Clefable
Clefable153 recorded pair observations · 0.61 pair observations per 100 analyzed battles
51.6%

Higher Win-rate Partners

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

Banette
Banette126 recorded pair observations · 0.50 pair observations per 100 analyzed battles
67.5%
Aegislash
Aegislash59 recorded pair observations · 0.24 pair observations per 100 analyzed battles
64.4%
Bellibolt
Bellibolt30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
63.3%
Glimmora
Glimmora100 recorded pair observations · 0.40 pair observations per 100 analyzed battles
60.0%
Greninja
Greninja105 recorded pair observations · 0.42 pair observations per 100 analyzed battles
59.0%
Lopunny
Lopunny124 recorded pair observations · 0.49 pair observations per 100 analyzed battles
58.1%
Primarina
Primarina377 recorded pair observations · 1.50 pair observations per 100 analyzed battles
57.8%
Basculegion
Basculegion264 recorded pair observations · 1.05 pair observations per 100 analyzed battles
56.8%
Archaludon
Archaludon296 recorded pair observations · 1.18 pair observations per 100 analyzed battles
56.1%
Golisopod
Golisopod268 recorded pair observations · 1.07 pair observations per 100 analyzed battles
56.0%

Lower Win-rate Partners

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

Sinistcha
Sinistcha24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
8.3%
Milotic
Milotic34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
14.7%
Indeedee-F
Indeedee-F25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
20.0%
Volcarona
Volcarona59 recorded pair observations · 0.24 pair observations per 100 analyzed battles
23.7%
Weavile
Weavile38 recorded pair observations · 0.15 pair observations per 100 analyzed battles
28.9%
Excadrill
Excadrill230 recorded pair observations · 0.92 pair observations per 100 analyzed battles
30.0%
Sneasler
Sneasler78 recorded pair observations · 0.31 pair observations per 100 analyzed battles
30.8%
Indeedee
Indeedee32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
31.2%
Hippowdon
Hippowdon104 recorded pair observations · 0.41 pair observations per 100 analyzed battles
31.7%
Metagross
Metagross51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
35.3%

Higher Win-rate Opponent Teams

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

Barbaracle
Barbaracle83 recorded pair observations · 0.33 pair observations per 100 analyzed battles
62.6%
Gliscor
Gliscor45 recorded pair observations · 0.18 pair observations per 100 analyzed battles
62.2%
Ditto
Ditto42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
61.9%
Incineroar
Incineroar34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
58.8%
Skeledirge
Skeledirge119 recorded pair observations · 0.47 pair observations per 100 analyzed battles
58.8%
Kingambit
Kingambit191 recorded pair observations · 0.76 pair observations per 100 analyzed battles
58.1%
Ninetales-Alola
Ninetales-Alola74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
58.1%
Swampert
Swampert57 recorded pair observations · 0.23 pair observations per 100 analyzed battles
57.9%
Gyarados
Gyarados162 recorded pair observations · 0.65 pair observations per 100 analyzed battles
56.2%
Dragalge
Dragalge27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.6%

Lower Win-rate Opponent Teams

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

Whimsicott
Whimsicott24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
29.2%
Araquanid
Araquanid39 recorded pair observations · 0.16 pair observations per 100 analyzed battles
30.8%
Greninja
Greninja81 recorded pair observations · 0.32 pair observations per 100 analyzed battles
30.9%
Mamoswine
Mamoswine30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
33.3%
Indeedee
Indeedee125 recorded pair observations · 0.50 pair observations per 100 analyzed battles
36.0%
Basculegion
Basculegion225 recorded pair observations · 0.90 pair observations per 100 analyzed battles
36.9%
Empoleon
Empoleon29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
37.9%
Banette
Banette35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
40.0%
Primarina
Primarina366 recorded pair observations · 1.46 pair observations per 100 analyzed battles
40.2%
Espathra
Espathra42 recorded pair observations · 0.17 pair observations per 100 analyzed battles
40.5%