Last Updated: 10/26/2026 11:04 [UTC]

Floette-Eternal

Tier C

BSS Regulation M-C (Pokemon Champions)

8.80%Usage Rate
51.33%Win Rate
17.22%Lead Rate
44.94%Selection Rate
1233Avg Rating

4413 recorded team appearances · 2265 wins · 2148 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Moonblast Recorded use in 1130 of 4413 distinct recorded team appearances (25.6%) 651 winning team uses of 1130 recorded team uses
57.6%
Calm Mind Recorded use in 715 of 4413 distinct recorded team appearances (16.2%) 347 winning team uses of 715 recorded team uses
48.5%
Synthesis Recorded use in 327 of 4413 distinct recorded team appearances (7.4%) 173 winning team uses of 327 recorded team uses
52.9%
Draining Kiss Recorded use in 220 of 4413 distinct recorded team appearances (5.0%) 128 winning team uses of 220 recorded team uses
58.2%
Substitute Recorded use in 166 of 4413 distinct recorded team appearances (3.8%) 88 winning team uses of 166 recorded team uses
53.0%
Light of Ruin Recorded use in 54 of 4413 distinct recorded team appearances (1.2%) 29 winning team uses of 54 recorded team uses
53.7%
Psychic Recorded use in 37 of 4413 distinct recorded team appearances (0.8%) 18 winning team uses of 37 recorded team uses
48.6%
Charm Recorded use in 33 of 4413 distinct recorded team appearances (0.7%) 18 winning team uses of 33 recorded team uses
54.5%
Energy Ball Recorded use in 10 of 4413 distinct recorded team appearances (0.2%) 5 winning team uses of 10 recorded team uses
50.0%

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 7.22 47.13 12542 906 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 10.91 49.42 12542 1368 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 10.29 53.99 12542 1291 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 6.76 54.83 12540 848 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 6.21 55.09 9968 619 Observed
~R1142 7.32 47.33 9958 729 Observed
~R1208 7.29 49.66 10104 737 Observed
~R1298 9.47 49.52 10004 947 Observed
R1298~ 13.63 53.87 10132 1381 Observed

Floette-Eternal Observed Statistics

Performance Metrics

Floette-Eternal has a reported usage rate of 8.80% and win rate of 51.33% in BSS Regulation M-C (Pokemon Champions) (displayed tier: C). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 2,265 wins and 2,148 losses (4,413 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 7.22% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 6.76% 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 -0.46 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 47.13% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=906 recorded appearances) and 54.83% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=848 recorded appearances), a change of +7.70 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 6.21% (~R1089; n=9,968 team slots) to 13.63% (R1298~; n=10,132 team slots), a spread of 7.42 percentage points. Overall usage was 8.80%. 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 (1,130; 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: Gholdengo: 47.3% wins in 1,992 recorded pair observations; Garchomp: 56.5% wins in 1,790 recorded pair observations; Salamence: 45.0% wins in 1,685 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: Gardevoir: 70.6% wins in 51 recorded pair observations; Indeedee-F: 67.3% wins in 52 recorded pair observations; Barbaracle: 66.8% wins in 217 recorded pair observations. Returned lower-win-rate opponent group: Gliscor: 33.8% wins in 136 recorded pair observations; Kleavor: 38.2% wins in 55 recorded pair observations; Arcanine-Hisui: 40.9% wins in 71 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%

Gholdengo
Gholdengo1992 recorded pair observations · 7.94 pair observations per 100 analyzed battles
47.3%
Garchomp
Garchomp1790 recorded pair observations · 7.14 pair observations per 100 analyzed battles
56.5%
Salamence
Salamence1685 recorded pair observations · 6.72 pair observations per 100 analyzed battles
45.0%
Umbreon
Umbreon1634 recorded pair observations · 6.51 pair observations per 100 analyzed battles
45.5%
Skeledirge
Skeledirge1543 recorded pair observations · 6.15 pair observations per 100 analyzed battles
44.3%
Scolipede
Scolipede1498 recorded pair observations · 5.97 pair observations per 100 analyzed battles
44.4%
Basculegion
Basculegion1056 recorded pair observations · 4.21 pair observations per 100 analyzed battles
57.2%
Corviknight
Corviknight610 recorded pair observations · 2.43 pair observations per 100 analyzed battles
58.7%
Toxapex
Toxapex606 recorded pair observations · 2.42 pair observations per 100 analyzed battles
59.2%
Archaludon
Archaludon579 recorded pair observations · 2.31 pair observations per 100 analyzed battles
53.5%
Golisopod
Golisopod573 recorded pair observations · 2.28 pair observations per 100 analyzed battles
57.4%
Hippowdon
Hippowdon561 recorded pair observations · 2.24 pair observations per 100 analyzed battles
58.8%
Dragonite
Dragonite524 recorded pair observations · 2.09 pair observations per 100 analyzed battles
54.6%
Indeedee
Indeedee477 recorded pair observations · 1.90 pair observations per 100 analyzed battles
60.4%
Kingambit
Kingambit473 recorded pair observations · 1.89 pair observations per 100 analyzed battles
54.8%
Baxcalibur
Baxcalibur419 recorded pair observations · 1.67 pair observations per 100 analyzed battles
56.6%
Samurott-Hisui
Samurott-Hisui399 recorded pair observations · 1.59 pair observations per 100 analyzed battles
58.9%
Rotom-Wash
Rotom-Wash306 recorded pair observations · 1.22 pair observations per 100 analyzed battles
56.2%
Blastoise
Blastoise305 recorded pair observations · 1.22 pair observations per 100 analyzed battles
59.7%
Rillaboom
Rillaboom305 recorded pair observations · 1.22 pair observations per 100 analyzed battles
55.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp1500 recorded pair observations · 5.98 pair observations per 100 analyzed battles
51.0%
Primarina
Primarina1159 recorded pair observations · 4.62 pair observations per 100 analyzed battles
45.9%
Archaludon
Archaludon931 recorded pair observations · 3.71 pair observations per 100 analyzed battles
44.8%
Hippowdon
Hippowdon913 recorded pair observations · 3.64 pair observations per 100 analyzed battles
53.2%
Mimikyu
Mimikyu801 recorded pair observations · 3.19 pair observations per 100 analyzed battles
48.9%
Salamence
Salamence795 recorded pair observations · 3.17 pair observations per 100 analyzed battles
50.4%
Gholdengo
Gholdengo761 recorded pair observations · 3.03 pair observations per 100 analyzed battles
49.8%
Golisopod
Golisopod714 recorded pair observations · 2.85 pair observations per 100 analyzed battles
48.6%
Corviknight
Corviknight710 recorded pair observations · 2.83 pair observations per 100 analyzed battles
51.8%
Basculegion
Basculegion615 recorded pair observations · 2.45 pair observations per 100 analyzed battles
46.7%
Charizard
Charizard603 recorded pair observations · 2.40 pair observations per 100 analyzed battles
54.1%
Kingambit
Kingambit550 recorded pair observations · 2.19 pair observations per 100 analyzed battles
58.2%
Lucario
Lucario526 recorded pair observations · 2.10 pair observations per 100 analyzed battles
49.0%
Baxcalibur
Baxcalibur456 recorded pair observations · 1.82 pair observations per 100 analyzed battles
49.6%
Meowscarada
Meowscarada456 recorded pair observations · 1.82 pair observations per 100 analyzed battles
49.1%
Metagross
Metagross446 recorded pair observations · 1.78 pair observations per 100 analyzed battles
46.2%
Scizor
Scizor417 recorded pair observations · 1.66 pair observations per 100 analyzed battles
60.9%
Dragonite
Dragonite416 recorded pair observations · 1.66 pair observations per 100 analyzed battles
49.8%
Gyarados
Gyarados409 recorded pair observations · 1.63 pair observations per 100 analyzed battles
60.4%
Clefable
Clefable400 recorded pair observations · 1.59 pair observations per 100 analyzed battles
58.0%

Higher Win-rate Partners

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

Ditto
Ditto48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
68.8%
Pyroar
Pyroar113 recorded pair observations · 0.45 pair observations per 100 analyzed battles
68.1%
Metagross
Metagross46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
65.2%
Aegislash
Aegislash183 recorded pair observations · 0.73 pair observations per 100 analyzed battles
61.8%
Indeedee
Indeedee477 recorded pair observations · 1.90 pair observations per 100 analyzed battles
60.4%
Blastoise
Blastoise305 recorded pair observations · 1.22 pair observations per 100 analyzed battles
59.7%
Pelipper
Pelipper257 recorded pair observations · 1.02 pair observations per 100 analyzed battles
59.5%
Toxapex
Toxapex606 recorded pair observations · 2.42 pair observations per 100 analyzed battles
59.2%
Samurott-Hisui
Samurott-Hisui399 recorded pair observations · 1.59 pair observations per 100 analyzed battles
58.9%
Hippowdon
Hippowdon561 recorded pair observations · 2.24 pair observations per 100 analyzed battles
58.8%

Lower Win-rate Partners

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

Primarina
Primarina53 recorded pair observations · 0.21 pair observations per 100 analyzed battles
34.0%
Tyranitar
Tyranitar58 recorded pair observations · 0.23 pair observations per 100 analyzed battles
41.4%
Delphox
Delphox84 recorded pair observations · 0.33 pair observations per 100 analyzed battles
41.7%
Toucannon
Toucannon62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
41.9%
Lucario
Lucario66 recorded pair observations · 0.26 pair observations per 100 analyzed battles
42.4%
Skeledirge
Skeledirge1543 recorded pair observations · 6.15 pair observations per 100 analyzed battles
44.3%
Scolipede
Scolipede1498 recorded pair observations · 5.97 pair observations per 100 analyzed battles
44.4%
Sneasler
Sneasler94 recorded pair observations · 0.37 pair observations per 100 analyzed battles
44.7%
Salamence
Salamence1685 recorded pair observations · 6.72 pair observations per 100 analyzed battles
45.0%
Scizor
Scizor267 recorded pair observations · 1.06 pair observations per 100 analyzed battles
45.3%

Higher Win-rate Opponent Teams

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

Gardevoir
Gardevoir51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
70.6%
Indeedee-F
Indeedee-F52 recorded pair observations · 0.21 pair observations per 100 analyzed battles
67.3%
Barbaracle
Barbaracle217 recorded pair observations · 0.87 pair observations per 100 analyzed battles
66.8%
Gallade
Gallade71 recorded pair observations · 0.28 pair observations per 100 analyzed battles
66.2%
Mawile
Mawile55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
65.5%
Sylveon
Sylveon74 recorded pair observations · 0.30 pair observations per 100 analyzed battles
64.9%
Dragalge
Dragalge65 recorded pair observations · 0.26 pair observations per 100 analyzed battles
64.6%
Armarouge
Armarouge47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
63.8%
Kangaskhan
Kangaskhan73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
63.0%
Scizor
Scizor417 recorded pair observations · 1.66 pair observations per 100 analyzed battles
60.9%

Lower Win-rate Opponent Teams

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

Gliscor
Gliscor136 recorded pair observations · 0.54 pair observations per 100 analyzed battles
33.8%
Kleavor
Kleavor55 recorded pair observations · 0.22 pair observations per 100 analyzed battles
38.2%
Arcanine-Hisui
Arcanine-Hisui71 recorded pair observations · 0.28 pair observations per 100 analyzed battles
40.9%
Dragapult
Dragapult175 recorded pair observations · 0.70 pair observations per 100 analyzed battles
41.7%
Delphox
Delphox253 recorded pair observations · 1.01 pair observations per 100 analyzed battles
41.9%
Indeedee
Indeedee333 recorded pair observations · 1.33 pair observations per 100 analyzed battles
42.0%
Greninja
Greninja253 recorded pair observations · 1.01 pair observations per 100 analyzed battles
42.3%
Blastoise
Blastoise228 recorded pair observations · 0.91 pair observations per 100 analyzed battles
42.5%
Toxapex
Toxapex290 recorded pair observations · 1.16 pair observations per 100 analyzed battles
42.8%
Lopunny
Lopunny86 recorded pair observations · 0.34 pair observations per 100 analyzed battles
43.0%