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

Tsareena

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.36%Usage Rate
47.21%Win Rate
26.60%Lead Rate
56.71%Selection Rate
1231Avg Rating

8757 recorded team appearances · 4134 wins · 4623 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Triple Axel Recorded use in 1474 of 8757 distinct recorded team appearances (16.8%) 729 winning team uses of 1474 recorded team uses
49.5%
Power Whip Recorded use in 944 of 8757 distinct recorded team appearances (10.8%) 505 winning team uses of 944 recorded team uses
53.5%
Trop Kick Recorded use in 877 of 8757 distinct recorded team appearances (10.0%) 395 winning team uses of 877 recorded team uses
45.0%
Protect Recorded use in 798 of 8757 distinct recorded team appearances (9.1%) 301 winning team uses of 798 recorded team uses
37.7%
U-turn Recorded use in 466 of 8757 distinct recorded team appearances (5.3%) 248 winning team uses of 466 recorded team uses
53.2%
High Jump Kick Recorded use in 458 of 8757 distinct recorded team appearances (5.2%) 213 winning team uses of 458 recorded team uses
46.5%
Low Kick Recorded use in 285 of 8757 distinct recorded team appearances (3.3%) 122 winning team uses of 285 recorded team uses
42.8%
Knock Off Recorded use in 250 of 8757 distinct recorded team appearances (2.9%) 103 winning team uses of 250 recorded team uses
41.2%
Taunt Recorded use in 173 of 8757 distinct recorded team appearances (2.0%) 82 winning team uses of 173 recorded team uses
47.4%
Zen Headbutt Recorded use in 169 of 8757 distinct recorded team appearances (1.9%) 87 winning team uses of 169 recorded team uses
51.5%

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 11:01–2026/10/16 00:34 UTC 1.40 47.81 160968 2261 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 1.22 46.40 160966 1957 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 1.36 48.54 160966 2190 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 1.46 46.06 160966 2349 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 1.82 45.81 128104 2329 Observed
~R1208 1.60 46.81 129182 2066 Observed
~R1302 1.33 47.78 126962 1693 Observed
~R1405 1.28 48.42 130626 1673 Observed
R1405~ 0.77 48.29 128992 996 Observed

Tsareena Observed Statistics

Performance Metrics

Tsareena has a reported usage rate of 1.36% and win rate of 47.21% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 4,134 wins and 4,623 losses (8,757 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 1.40% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 1.46% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 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 47.81% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=2,261 recorded appearances) and 46.06% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=2,349 recorded appearances), a change of -1.75 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 0.77% (R1405~; n=128,992 team slots) to 1.82% (~R1129; n=128,104 team slots), a spread of 1.05 percentage points. Overall usage was 1.36%. 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, Triple Axel has the largest recorded team-use count (1,474; 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: Pelipper: 50.4% wins in 2,258 recorded pair observations; Archaludon: 50.0% wins in 1,928 recorded pair observations; Swampert: 50.5% wins in 1,564 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: Primarina: 55.6% wins in 430 recorded pair observations; Gholdengo: 50.7% wins in 1,177 recorded pair observations; Gengar: 50.5% wins in 483 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 38.0% wins in 353 recorded pair observations; Ninetales-Alola: 42.1% wins in 316 recorded pair observations; Pelipper: 42.8% wins in 1,450 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%

Pelipper
Pelipper2258 recorded pair observations · 0.70 pair observations per 100 analyzed battles
50.4%
Archaludon
Archaludon1928 recorded pair observations · 0.60 pair observations per 100 analyzed battles
50.0%
Swampert
Swampert1564 recorded pair observations · 0.49 pair observations per 100 analyzed battles
50.5%
Raichu
Raichu1428 recorded pair observations · 0.44 pair observations per 100 analyzed battles
48.4%
Talonflame
Talonflame1340 recorded pair observations · 0.42 pair observations per 100 analyzed battles
47.5%
Garchomp
Garchomp1312 recorded pair observations · 0.41 pair observations per 100 analyzed battles
49.4%
Whimsicott
Whimsicott1205 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.4%
Greninja
Greninja1080 recorded pair observations · 0.34 pair observations per 100 analyzed battles
47.7%
Sneasler
Sneasler1052 recorded pair observations · 0.33 pair observations per 100 analyzed battles
46.5%
Incineroar
Incineroar957 recorded pair observations · 0.30 pair observations per 100 analyzed battles
50.6%
Milotic
Milotic842 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.9%
Kingambit
Kingambit757 recorded pair observations · 0.24 pair observations per 100 analyzed battles
48.9%
Basculegion
Basculegion750 recorded pair observations · 0.23 pair observations per 100 analyzed battles
52.4%
Aerodactyl
Aerodactyl718 recorded pair observations · 0.22 pair observations per 100 analyzed battles
48.8%
Gholdengo
Gholdengo710 recorded pair observations · 0.22 pair observations per 100 analyzed battles
50.4%
Tyranitar
Tyranitar665 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.1%
Salamence
Salamence645 recorded pair observations · 0.20 pair observations per 100 analyzed battles
49.8%
Volcarona
Volcarona610 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.5%
Excadrill
Excadrill606 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.2%
Charizard
Charizard534 recorded pair observations · 0.17 pair observations per 100 analyzed battles
49.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2768 recorded pair observations · 0.86 pair observations per 100 analyzed battles
48.0%
Sneasler
Sneasler2583 recorded pair observations · 0.80 pair observations per 100 analyzed battles
44.4%
Incineroar
Incineroar2377 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.8%
Garchomp
Garchomp2222 recorded pair observations · 0.69 pair observations per 100 analyzed battles
46.2%
Archaludon
Archaludon1637 recorded pair observations · 0.51 pair observations per 100 analyzed battles
43.6%
Raichu
Raichu1613 recorded pair observations · 0.50 pair observations per 100 analyzed battles
49.4%
Indeedee-F
Indeedee-F1531 recorded pair observations · 0.48 pair observations per 100 analyzed battles
44.9%
Pelipper
Pelipper1450 recorded pair observations · 0.45 pair observations per 100 analyzed battles
42.8%
Farigiraf
Farigiraf1422 recorded pair observations · 0.44 pair observations per 100 analyzed battles
47.1%
Kingambit
Kingambit1416 recorded pair observations · 0.44 pair observations per 100 analyzed battles
46.9%
Charizard
Charizard1374 recorded pair observations · 0.43 pair observations per 100 analyzed battles
45.8%
Golisopod
Golisopod1201 recorded pair observations · 0.37 pair observations per 100 analyzed battles
43.3%
Gholdengo
Gholdengo1177 recorded pair observations · 0.37 pair observations per 100 analyzed battles
50.7%
Whimsicott
Whimsicott1111 recorded pair observations · 0.35 pair observations per 100 analyzed battles
49.3%
Basculegion
Basculegion999 recorded pair observations · 0.31 pair observations per 100 analyzed battles
46.0%
Salamence
Salamence976 recorded pair observations · 0.30 pair observations per 100 analyzed battles
44.7%
Sinistcha
Sinistcha835 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.9%
Tyranitar
Tyranitar831 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.8%
Milotic
Milotic813 recorded pair observations · 0.25 pair observations per 100 analyzed battles
47.7%
Volcarona
Volcarona795 recorded pair observations · 0.25 pair observations per 100 analyzed battles
49.8%

Higher Win-rate Partners

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

Floette-Eternal
Floette-Eternal394 recorded pair observations · 0.12 pair observations per 100 analyzed battles
54.1%
Sylveon
Sylveon354 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.5%
Basculegion
Basculegion750 recorded pair observations · 0.23 pair observations per 100 analyzed battles
52.4%
Indeedee
Indeedee420 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.9%
Lucario
Lucario485 recorded pair observations · 0.15 pair observations per 100 analyzed battles
50.7%
Incineroar
Incineroar957 recorded pair observations · 0.30 pair observations per 100 analyzed battles
50.6%
Swampert
Swampert1564 recorded pair observations · 0.49 pair observations per 100 analyzed battles
50.5%
Gholdengo
Gholdengo710 recorded pair observations · 0.22 pair observations per 100 analyzed battles
50.4%
Pelipper
Pelipper2258 recorded pair observations · 0.70 pair observations per 100 analyzed battles
50.4%
Tyranitar
Tyranitar665 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.1%

Lower Win-rate Partners

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

Indeedee-F
Indeedee-F502 recorded pair observations · 0.16 pair observations per 100 analyzed battles
41.2%
Absol
Absol368 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.0%
Sableye
Sableye362 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.8%
Froslass
Froslass441 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.4%
Houndoom
Houndoom370 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.7%
Ninetales-Alola
Ninetales-Alola374 recorded pair observations · 0.12 pair observations per 100 analyzed battles
46.0%
Dragapult
Dragapult342 recorded pair observations · 0.11 pair observations per 100 analyzed battles
46.2%
Sneasler
Sneasler1052 recorded pair observations · 0.33 pair observations per 100 analyzed battles
46.5%

Higher Win-rate Opponent Teams

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

Primarina
Primarina430 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.6%
Gholdengo
Gholdengo1177 recorded pair observations · 0.37 pair observations per 100 analyzed battles
50.7%
Gengar
Gengar483 recorded pair observations · 0.15 pair observations per 100 analyzed battles
50.5%
Dragonite
Dragonite426 recorded pair observations · 0.13 pair observations per 100 analyzed battles
50.2%
Kommo-o
Kommo-o365 recorded pair observations · 0.11 pair observations per 100 analyzed battles
50.1%
Volcarona
Volcarona795 recorded pair observations · 0.25 pair observations per 100 analyzed battles
49.8%
Staraptor
Staraptor637 recorded pair observations · 0.20 pair observations per 100 analyzed battles
49.5%
Raichu
Raichu1613 recorded pair observations · 0.50 pair observations per 100 analyzed battles
49.4%
Whimsicott
Whimsicott1111 recorded pair observations · 0.35 pair observations per 100 analyzed battles
49.3%
Sinistcha
Sinistcha835 recorded pair observations · 0.26 pair observations per 100 analyzed battles
48.9%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F353 recorded pair observations · 0.11 pair observations per 100 analyzed battles
38.0%
Ninetales-Alola
Ninetales-Alola316 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.1%
Pelipper
Pelipper1450 recorded pair observations · 0.45 pair observations per 100 analyzed battles
42.8%
Gardevoir
Gardevoir566 recorded pair observations · 0.18 pair observations per 100 analyzed battles
43.3%
Golisopod
Golisopod1201 recorded pair observations · 0.37 pair observations per 100 analyzed battles
43.3%
Archaludon
Archaludon1637 recorded pair observations · 0.51 pair observations per 100 analyzed battles
43.6%
Armarouge
Armarouge366 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.0%
Froslass
Froslass428 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.2%
Indeedee
Indeedee576 recorded pair observations · 0.18 pair observations per 100 analyzed battles
44.4%
Sneasler
Sneasler2583 recorded pair observations · 0.80 pair observations per 100 analyzed battles
44.4%