Last Updated: 10/26/2026 11:18 [UTC]

Tyranitar

Tier C

VGC 2026 Regulation M-C (Pokemon Champions)

9.70%Usage Rate
50.77%Win Rate
28.66%Lead Rate
65.32%Selection Rate
1277Avg Rating

62482 recorded team appearances · 31719 wins · 30763 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Rock Slide Recorded use in 19887 of 62485 distinct recorded team appearances (31.8%) 10979 winning team uses of 19887 recorded team uses
55.2%
Protect Recorded use in 17455 of 62485 distinct recorded team appearances (27.9%) 8337 winning team uses of 17455 recorded team uses
47.8%
Knock Off Recorded use in 16425 of 62485 distinct recorded team appearances (26.3%) 9369 winning team uses of 16425 recorded team uses
57.0%
Dragon Dance Recorded use in 4840 of 62485 distinct recorded team appearances (7.7%) 2451 winning team uses of 4840 recorded team uses
50.6%
Low Kick Recorded use in 3021 of 62485 distinct recorded team appearances (4.8%) 1630 winning team uses of 3021 recorded team uses
54.0%
Ice Punch Recorded use in 938 of 62485 distinct recorded team appearances (1.5%) 516 winning team uses of 938 recorded team uses
55.0%
Crunch Recorded use in 677 of 62485 distinct recorded team appearances (1.1%) 396 winning team uses of 677 recorded team uses
58.5%
High Horsepower Recorded use in 556 of 62485 distinct recorded team appearances (0.9%) 267 winning team uses of 556 recorded team uses
48.0%
Stone Edge Recorded use in 228 of 62485 distinct recorded team appearances (0.4%) 123 winning team uses of 228 recorded team uses
53.9%
Earthquake Recorded use in 218 of 62485 distinct recorded team appearances (0.3%) 93 winning team uses of 218 recorded team uses
42.7%

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 11:01–2026/10/16 00:34 UTC 9.53 50.02 160964 15346 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 10.24 50.89 160962 16487 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:24 UTC 9.57 50.59 160962 15403 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 9.47 51.55 160962 15246 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 8.74 53.16 128104 11193 Observed
~R1208 10.27 51.89 129166 13270 Observed
~R1302 10.45 50.03 126962 13273 Observed
~R1405 10.07 49.57 130626 13149 Observed
R1405~ 8.99 49.36 128992 11597 Observed

Tyranitar Observed Statistics

Performance Metrics

Tyranitar has a reported usage rate of 9.70% and win rate of 50.77% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: C). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,925 recorded battles. 31,719 wins and 30,763 losses (62,482 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 9.53% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,964 team slots) and 9.47% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,962 team slots), a change of -0.06 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 50.02% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=15,346 recorded appearances) and 51.55% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=15,246 recorded appearances), a change of +1.53 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 8.74% (~R1129; n=128,104 team slots) to 10.45% (~R1302; n=126,962 team slots), a spread of 1.71 percentage points. Overall usage was 9.70%. 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, Rock Slide has the largest recorded team-use count (19,887; 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: 51.6% wins in 40,177 recorded pair observations; Sneasler: 50.9% wins in 24,210 recorded pair observations; Salamence: 53.3% wins in 17,989 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: Alakazam: 61.4% wins in 925 recorded pair observations; Typhlosion-Hisui: 61.0% wins in 1,109 recorded pair observations; Absol: 58.3% wins in 1,145 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 45.2% wins in 2,801 recorded pair observations; Staraptor: 45.5% wins in 4,551 recorded pair observations; Golisopod: 46.8% wins in 9,209 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
Excadrill40177 recorded pair observations · 12.48 pair observations per 100 analyzed battles
51.6%
Sneasler
Sneasler24210 recorded pair observations · 7.52 pair observations per 100 analyzed battles
50.9%
Salamence
Salamence17989 recorded pair observations · 5.59 pair observations per 100 analyzed battles
53.3%
Indeedee-F
Indeedee-F15040 recorded pair observations · 4.67 pair observations per 100 analyzed battles
50.5%
Milotic
Milotic14477 recorded pair observations · 4.50 pair observations per 100 analyzed battles
52.5%
Indeedee
Indeedee12943 recorded pair observations · 4.02 pair observations per 100 analyzed battles
51.3%
Rillaboom
Rillaboom12691 recorded pair observations · 3.94 pair observations per 100 analyzed battles
51.5%
Gholdengo
Gholdengo12441 recorded pair observations · 3.86 pair observations per 100 analyzed battles
53.4%
Sinistcha
Sinistcha9798 recorded pair observations · 3.04 pair observations per 100 analyzed battles
50.9%
Garchomp
Garchomp8822 recorded pair observations · 2.74 pair observations per 100 analyzed battles
49.1%
Corviknight
Corviknight8817 recorded pair observations · 2.74 pair observations per 100 analyzed battles
51.7%
Incineroar
Incineroar6580 recorded pair observations · 2.04 pair observations per 100 analyzed battles
49.6%
Staraptor
Staraptor6305 recorded pair observations · 1.96 pair observations per 100 analyzed battles
53.6%
Rotom-Heat
Rotom-Heat6216 recorded pair observations · 1.93 pair observations per 100 analyzed battles
49.3%
Volcarona
Volcarona5730 recorded pair observations · 1.78 pair observations per 100 analyzed battles
51.6%
Sceptile
Sceptile5664 recorded pair observations · 1.76 pair observations per 100 analyzed battles
48.7%
Farigiraf
Farigiraf4258 recorded pair observations · 1.32 pair observations per 100 analyzed battles
51.5%
Whimsicott
Whimsicott3900 recorded pair observations · 1.21 pair observations per 100 analyzed battles
49.5%
Gardevoir
Gardevoir3504 recorded pair observations · 1.09 pair observations per 100 analyzed battles
53.3%
Armarouge
Armarouge3412 recorded pair observations · 1.06 pair observations per 100 analyzed battles
51.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom19478 recorded pair observations · 6.05 pair observations per 100 analyzed battles
47.8%
Sneasler
Sneasler19022 recorded pair observations · 5.91 pair observations per 100 analyzed battles
49.5%
Incineroar
Incineroar17062 recorded pair observations · 5.30 pair observations per 100 analyzed battles
50.2%
Garchomp
Garchomp16514 recorded pair observations · 5.13 pair observations per 100 analyzed battles
48.8%
Archaludon
Archaludon12355 recorded pair observations · 3.84 pair observations per 100 analyzed battles
48.0%
Raichu
Raichu11890 recorded pair observations · 3.69 pair observations per 100 analyzed battles
48.1%
Indeedee-F
Indeedee-F11004 recorded pair observations · 3.42 pair observations per 100 analyzed battles
54.9%
Charizard
Charizard10909 recorded pair observations · 3.39 pair observations per 100 analyzed battles
51.5%
Kingambit
Kingambit10737 recorded pair observations · 3.34 pair observations per 100 analyzed battles
47.5%
Farigiraf
Farigiraf10591 recorded pair observations · 3.29 pair observations per 100 analyzed battles
51.4%
Pelipper
Pelipper10340 recorded pair observations · 3.21 pair observations per 100 analyzed battles
48.4%
Golisopod
Golisopod9209 recorded pair observations · 2.86 pair observations per 100 analyzed battles
46.8%
Gholdengo
Gholdengo8086 recorded pair observations · 2.51 pair observations per 100 analyzed battles
48.5%
Whimsicott
Whimsicott7488 recorded pair observations · 2.33 pair observations per 100 analyzed battles
52.4%
Basculegion
Basculegion7277 recorded pair observations · 2.26 pair observations per 100 analyzed battles
49.5%
Salamence
Salamence6782 recorded pair observations · 2.11 pair observations per 100 analyzed battles
48.2%
Tyranitar
Tyranitar6186 recorded pair observations · 1.92 pair observations per 100 analyzed battles
50.0%
Sinistcha
Sinistcha5812 recorded pair observations · 1.81 pair observations per 100 analyzed battles
51.1%
Volcarona
Volcarona5503 recorded pair observations · 1.71 pair observations per 100 analyzed battles
50.4%
Milotic
Milotic5445 recorded pair observations · 1.69 pair observations per 100 analyzed battles
48.8%

Higher Win-rate Partners

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

Annihilape
Annihilape2111 recorded pair observations · 0.66 pair observations per 100 analyzed battles
54.3%
Staraptor
Staraptor6305 recorded pair observations · 1.96 pair observations per 100 analyzed battles
53.6%
Gholdengo
Gholdengo12441 recorded pair observations · 3.86 pair observations per 100 analyzed battles
53.4%
Gardevoir
Gardevoir3504 recorded pair observations · 1.09 pair observations per 100 analyzed battles
53.3%
Salamence
Salamence17989 recorded pair observations · 5.59 pair observations per 100 analyzed battles
53.3%
Sylveon
Sylveon2091 recorded pair observations · 0.65 pair observations per 100 analyzed battles
52.8%
Venusaur
Venusaur1428 recorded pair observations · 0.44 pair observations per 100 analyzed battles
52.7%
Milotic
Milotic14477 recorded pair observations · 4.50 pair observations per 100 analyzed battles
52.5%
Kingambit
Kingambit2015 recorded pair observations · 0.63 pair observations per 100 analyzed battles
52.4%
Kommo-o
Kommo-o2039 recorded pair observations · 0.63 pair observations per 100 analyzed battles
52.2%

Lower Win-rate Partners

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

Alakazam
Alakazam671 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.8%
Blaziken
Blaziken910 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.1%
Aerodactyl
Aerodactyl1189 recorded pair observations · 0.37 pair observations per 100 analyzed battles
46.2%
Mawile
Mawile836 recorded pair observations · 0.26 pair observations per 100 analyzed battles
46.6%
Arcanine-Hisui
Arcanine-Hisui1132 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.5%
Glimmora
Glimmora1373 recorded pair observations · 0.43 pair observations per 100 analyzed battles
47.6%
Gengar
Gengar878 recorded pair observations · 0.27 pair observations per 100 analyzed battles
47.7%
Scovillain
Scovillain1111 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.7%
Lucario
Lucario1436 recorded pair observations · 0.45 pair observations per 100 analyzed battles
48.1%
Steelix
Steelix1456 recorded pair observations · 0.45 pair observations per 100 analyzed battles
48.3%

Higher Win-rate Opponent Teams

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

Alakazam
Alakazam925 recorded pair observations · 0.29 pair observations per 100 analyzed battles
61.4%
Typhlosion-Hisui
Typhlosion-Hisui1109 recorded pair observations · 0.34 pair observations per 100 analyzed battles
61.0%
Absol
Absol1145 recorded pair observations · 0.36 pair observations per 100 analyzed battles
58.3%
Maushold
Maushold1281 recorded pair observations · 0.40 pair observations per 100 analyzed battles
58.1%
Torkoal
Torkoal3356 recorded pair observations · 1.04 pair observations per 100 analyzed battles
57.5%
Sceptile
Sceptile1224 recorded pair observations · 0.38 pair observations per 100 analyzed battles
57.4%
Clefable
Clefable891 recorded pair observations · 0.28 pair observations per 100 analyzed battles
57.1%
Zoroark-Hisui
Zoroark-Hisui813 recorded pair observations · 0.25 pair observations per 100 analyzed battles
56.3%
Armarouge
Armarouge2746 recorded pair observations · 0.85 pair observations per 100 analyzed battles
56.2%
Greninja
Greninja648 recorded pair observations · 0.20 pair observations per 100 analyzed battles
56.2%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F2801 recorded pair observations · 0.87 pair observations per 100 analyzed battles
45.2%
Staraptor
Staraptor4551 recorded pair observations · 1.41 pair observations per 100 analyzed battles
45.5%
Golisopod
Golisopod9209 recorded pair observations · 2.86 pair observations per 100 analyzed battles
46.8%
Swampert
Swampert2704 recorded pair observations · 0.84 pair observations per 100 analyzed battles
46.8%
Arcanine-Hisui
Arcanine-Hisui3062 recorded pair observations · 0.95 pair observations per 100 analyzed battles
47.3%
Kingambit
Kingambit10737 recorded pair observations · 3.34 pair observations per 100 analyzed battles
47.5%
Primarina
Primarina3153 recorded pair observations · 0.98 pair observations per 100 analyzed battles
47.5%
Floette-Eternal
Floette-Eternal4445 recorded pair observations · 1.38 pair observations per 100 analyzed battles
47.8%
Froslass
Froslass3013 recorded pair observations · 0.94 pair observations per 100 analyzed battles
47.8%
Rillaboom
Rillaboom19478 recorded pair observations · 6.05 pair observations per 100 analyzed battles
47.8%