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

Primarina

Tier A

BSS Regulation M-C (Pokemon Champions)

23.50%Usage Rate
53.65%Win Rate
16.49%Lead Rate
41.35%Selection Rate
1219Avg Rating

11788 recorded team appearances · 6324 wins · 5464 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Moonblast Recorded use in 2858 of 11788 distinct recorded team appearances (24.2%) 1592 winning team uses of 2858 recorded team uses
55.7%
Sparkling Aria Recorded use in 1554 of 11788 distinct recorded team appearances (13.2%) 843 winning team uses of 1554 recorded team uses
54.2%
Aqua Jet Recorded use in 1162 of 11788 distinct recorded team appearances (9.9%) 618 winning team uses of 1162 recorded team uses
53.2%
Encore Recorded use in 508 of 11788 distinct recorded team appearances (4.3%) 284 winning team uses of 508 recorded team uses
55.9%
Calm Mind Recorded use in 506 of 11788 distinct recorded team appearances (4.3%) 272 winning team uses of 506 recorded team uses
53.8%
Surf Recorded use in 477 of 11788 distinct recorded team appearances (4.0%) 303 winning team uses of 477 recorded team uses
63.5%
Flip Turn Recorded use in 170 of 11788 distinct recorded team appearances (1.4%) 90 winning team uses of 170 recorded team uses
52.9%
Rest Recorded use in 73 of 11788 distinct recorded team appearances (0.6%) 44 winning team uses of 73 recorded team uses
60.3%
Hyper Voice Recorded use in 53 of 11788 distinct recorded team appearances (0.4%) 23 winning team uses of 53 recorded team uses
43.4%
Energy Ball Recorded use in 39 of 11788 distinct recorded team appearances (0.3%) 21 winning team uses of 39 recorded team uses
53.8%

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 20.59 53.14 12542 2582 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 23.81 54.12 12542 2986 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 24.06 54.90 12542 3018 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 25.53 52.44 12540 3202 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 18.55 57.87 9968 1849 Observed
~R1142 19.89 54.16 9958 1981 Observed
~R1208 22.14 54.81 10104 2237 Observed
~R1298 26.41 52.73 10004 2642 Observed
R1298~ 30.39 50.73 10132 3079 Observed

Primarina Observed Statistics

Performance Metrics

Primarina has a reported usage rate of 23.50% and win rate of 53.65% in BSS Regulation M-C (Pokemon Champions) (displayed tier: A). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 6,324 wins and 5,464 losses (11,788 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 20.59% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 25.53% 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 +4.94 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 53.14% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=2,582 recorded appearances) and 52.44% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=3,202 recorded appearances), a change of -0.70 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 18.55% (~R1089; n=9,968 team slots) to 30.39% (R1298~; n=10,132 team slots), a spread of 11.84 percentage points. Overall usage was 23.50%. 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, Moonblast has the largest recorded team-use count (2,858; 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: Garchomp: 52.7% wins in 5,622 recorded pair observations; Salamence: 56.6% wins in 3,477 recorded pair observations; Gholdengo: 55.7% wins in 3,406 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: 66.8% wins in 449 recorded pair observations; Armarouge: 65.4% wins in 159 recorded pair observations; Gliscor: 63.8% wins in 359 recorded pair observations. Returned lower-win-rate opponent group: Polteageist: 41.3% wins in 155 recorded pair observations; Tinkaton: 45.8% wins in 177 recorded pair observations; Gallade: 46.6% wins in 206 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%

Garchomp
Garchomp5622 recorded pair observations · 22.41 pair observations per 100 analyzed battles
52.7%
Salamence
Salamence3477 recorded pair observations · 13.86 pair observations per 100 analyzed battles
56.6%
Gholdengo
Gholdengo3406 recorded pair observations · 13.58 pair observations per 100 analyzed battles
55.7%
Golisopod
Golisopod2982 recorded pair observations · 11.89 pair observations per 100 analyzed battles
57.6%
Hippowdon
Hippowdon2679 recorded pair observations · 10.68 pair observations per 100 analyzed battles
52.4%
Metagross
Metagross2607 recorded pair observations · 10.39 pair observations per 100 analyzed battles
54.0%
Archaludon
Archaludon2255 recorded pair observations · 8.99 pair observations per 100 analyzed battles
57.4%
Mimikyu
Mimikyu2189 recorded pair observations · 8.73 pair observations per 100 analyzed battles
53.1%
Corviknight
Corviknight2068 recorded pair observations · 8.24 pair observations per 100 analyzed battles
53.2%
Meowscarada
Meowscarada1957 recorded pair observations · 7.80 pair observations per 100 analyzed battles
54.4%
Lucario
Lucario1630 recorded pair observations · 6.50 pair observations per 100 analyzed battles
54.7%
Charizard
Charizard1488 recorded pair observations · 5.93 pair observations per 100 analyzed battles
51.7%
Gengar
Gengar1223 recorded pair observations · 4.88 pair observations per 100 analyzed battles
54.3%
Baxcalibur
Baxcalibur1222 recorded pair observations · 4.87 pair observations per 100 analyzed battles
53.2%
Glimmora
Glimmora1004 recorded pair observations · 4.00 pair observations per 100 analyzed battles
54.1%
Dragonite
Dragonite920 recorded pair observations · 3.67 pair observations per 100 analyzed battles
54.7%
Basculegion
Basculegion914 recorded pair observations · 3.64 pair observations per 100 analyzed battles
55.6%
Rillaboom
Rillaboom910 recorded pair observations · 3.63 pair observations per 100 analyzed battles
53.9%
Cinderace
Cinderace838 recorded pair observations · 3.34 pair observations per 100 analyzed battles
55.4%
Raichu
Raichu709 recorded pair observations · 2.83 pair observations per 100 analyzed battles
52.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp3998 recorded pair observations · 15.94 pair observations per 100 analyzed battles
51.6%
Primarina
Primarina2860 recorded pair observations · 11.40 pair observations per 100 analyzed battles
50.0%
Archaludon
Archaludon2499 recorded pair observations · 9.96 pair observations per 100 analyzed battles
50.9%
Gholdengo
Gholdengo2251 recorded pair observations · 8.97 pair observations per 100 analyzed battles
52.8%
Hippowdon
Hippowdon2250 recorded pair observations · 8.97 pair observations per 100 analyzed battles
54.1%
Mimikyu
Mimikyu2162 recorded pair observations · 8.62 pair observations per 100 analyzed battles
50.0%
Salamence
Salamence2002 recorded pair observations · 7.98 pair observations per 100 analyzed battles
53.1%
Golisopod
Golisopod1833 recorded pair observations · 7.31 pair observations per 100 analyzed battles
48.8%
Corviknight
Corviknight1776 recorded pair observations · 7.08 pair observations per 100 analyzed battles
52.1%
Basculegion
Basculegion1760 recorded pair observations · 7.02 pair observations per 100 analyzed battles
47.3%
Lucario
Lucario1466 recorded pair observations · 5.84 pair observations per 100 analyzed battles
49.0%
Charizard
Charizard1438 recorded pair observations · 5.73 pair observations per 100 analyzed battles
50.8%
Metagross
Metagross1389 recorded pair observations · 5.54 pair observations per 100 analyzed battles
48.0%
Kingambit
Kingambit1327 recorded pair observations · 5.29 pair observations per 100 analyzed battles
57.0%
Baxcalibur
Baxcalibur1326 recorded pair observations · 5.29 pair observations per 100 analyzed battles
51.3%
Dragonite
Dragonite1191 recorded pair observations · 4.75 pair observations per 100 analyzed battles
48.2%
Floette-Eternal
Floette-Eternal1159 recorded pair observations · 4.62 pair observations per 100 analyzed battles
54.1%
Meowscarada
Meowscarada1118 recorded pair observations · 4.46 pair observations per 100 analyzed battles
50.5%
Clefable
Clefable1060 recorded pair observations · 4.23 pair observations per 100 analyzed battles
58.2%
Rillaboom
Rillaboom992 recorded pair observations · 3.95 pair observations per 100 analyzed battles
55.2%

Higher Win-rate Partners

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

Dragapult
Dragapult626 recorded pair observations · 2.50 pair observations per 100 analyzed battles
68.7%
Banette
Banette295 recorded pair observations · 1.18 pair observations per 100 analyzed battles
60.7%
Arcanine-Hisui
Arcanine-Hisui147 recorded pair observations · 0.59 pair observations per 100 analyzed battles
60.5%
Skarmory
Skarmory269 recorded pair observations · 1.07 pair observations per 100 analyzed battles
58.0%
Victreebel
Victreebel164 recorded pair observations · 0.65 pair observations per 100 analyzed battles
57.9%
Tyranitar
Tyranitar377 recorded pair observations · 1.50 pair observations per 100 analyzed battles
57.8%
Golisopod
Golisopod2982 recorded pair observations · 11.89 pair observations per 100 analyzed battles
57.6%
Mamoswine
Mamoswine172 recorded pair observations · 0.69 pair observations per 100 analyzed battles
57.6%
Archaludon
Archaludon2255 recorded pair observations · 8.99 pair observations per 100 analyzed battles
57.4%
Greninja
Greninja470 recorded pair observations · 1.87 pair observations per 100 analyzed battles
57.2%

Lower Win-rate Partners

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

Gallade
Gallade122 recorded pair observations · 0.49 pair observations per 100 analyzed battles
43.4%
Mawile
Mawile251 recorded pair observations · 1.00 pair observations per 100 analyzed battles
45.8%
Starmie
Starmie238 recorded pair observations · 0.95 pair observations per 100 analyzed battles
45.8%
Swampert
Swampert171 recorded pair observations · 0.68 pair observations per 100 analyzed battles
46.8%
Scizor
Scizor508 recorded pair observations · 2.03 pair observations per 100 analyzed battles
47.0%
Lopunny
Lopunny163 recorded pair observations · 0.65 pair observations per 100 analyzed battles
49.1%
Pawmot
Pawmot376 recorded pair observations · 1.50 pair observations per 100 analyzed battles
49.7%
Aegislash
Aegislash425 recorded pair observations · 1.69 pair observations per 100 analyzed battles
50.1%
Tinkaton
Tinkaton387 recorded pair observations · 1.54 pair observations per 100 analyzed battles
50.1%
Bellibolt
Bellibolt137 recorded pair observations · 0.55 pair observations per 100 analyzed battles
50.4%

Higher Win-rate Opponent Teams

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

Barbaracle
Barbaracle449 recorded pair observations · 1.79 pair observations per 100 analyzed battles
66.8%
Armarouge
Armarouge159 recorded pair observations · 0.63 pair observations per 100 analyzed battles
65.4%
Gliscor
Gliscor359 recorded pair observations · 1.43 pair observations per 100 analyzed battles
63.8%
Araquanid
Araquanid269 recorded pair observations · 1.07 pair observations per 100 analyzed battles
63.2%
Sableye
Sableye159 recorded pair observations · 0.63 pair observations per 100 analyzed battles
62.9%
Palafin
Palafin150 recorded pair observations · 0.60 pair observations per 100 analyzed battles
62.7%
Incineroar
Incineroar254 recorded pair observations · 1.01 pair observations per 100 analyzed battles
61.4%
Indeedee-F
Indeedee-F132 recorded pair observations · 0.53 pair observations per 100 analyzed battles
61.4%
Eelektross
Eelektross130 recorded pair observations · 0.52 pair observations per 100 analyzed battles
60.8%
Scizor
Scizor944 recorded pair observations · 3.76 pair observations per 100 analyzed battles
60.8%

Lower Win-rate Opponent Teams

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

Polteageist
Polteageist155 recorded pair observations · 0.62 pair observations per 100 analyzed battles
41.3%
Tinkaton
Tinkaton177 recorded pair observations · 0.71 pair observations per 100 analyzed battles
45.8%
Gallade
Gallade206 recorded pair observations · 0.82 pair observations per 100 analyzed battles
46.6%
Basculegion
Basculegion1760 recorded pair observations · 7.02 pair observations per 100 analyzed battles
47.3%
Metagross
Metagross1389 recorded pair observations · 5.54 pair observations per 100 analyzed battles
48.0%
Dragonite
Dragonite1191 recorded pair observations · 4.75 pair observations per 100 analyzed battles
48.2%
Politoed
Politoed182 recorded pair observations · 0.73 pair observations per 100 analyzed battles
48.4%
Golisopod
Golisopod1833 recorded pair observations · 7.31 pair observations per 100 analyzed battles
48.8%
Empoleon
Empoleon264 recorded pair observations · 1.05 pair observations per 100 analyzed battles
48.9%
Indeedee
Indeedee895 recorded pair observations · 3.57 pair observations per 100 analyzed battles
49.0%