Last Updated: 10/09/2026 11:03 [UTC]

Feraligatr

Tier E

BSS Regulation M-C (Pokemon Champions)

1.06%Usage Rate
44.29%Win Rate
10.05%Lead Rate
52.17%Selection Rate
1117Avg Rating

368 recorded team appearances · 163 wins · 205 losses · 09/25/2026–10/09/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Dragon Dance Recorded use in 71 of 368 distinct recorded team appearances (19.3%) 30 winning team uses of 71 recorded team uses
42.3%
Liquidation Recorded use in 54 of 368 distinct recorded team appearances (14.7%) 28 winning team uses of 54 recorded team uses
51.9%
Body Slam Recorded use in 36 of 368 distinct recorded team appearances (9.8%) 20 winning team uses of 36 recorded team uses
55.6%
Aqua Jet Recorded use in 17 of 368 distinct recorded team appearances (4.6%) 10 winning team uses of 17 recorded team uses
58.8%
Earthquake Recorded use in 17 of 368 distinct recorded team appearances (4.6%) 10 winning team uses of 17 recorded team uses
58.8%

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: 2026/09/25 20:04–2026/09/29 16:20 JST 1.02 47.73 8658 88 Observed
Period 2: 2026/09/29 16:20–2026/10/02 20:58 JST 1.91 41.82 8658 165 Observed
Period 3: 2026/10/02 21:00–2026/10/06 01:07 JST 0.97 44.05 8656 84 Observed
Period 4: 2026/10/06 01:08–2026/10/09 20:00 JST 0.36 48.39 8656 31 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1076 1.53 45.28 6912 106 Observed
~R1122 1.51 39.22 6740 102 Observed
~R1181 1.10 41.03 7094 78 Observed
~R1262 0.71 63.27 6934 49 Observed
R1262~ 0.47 36.36 6948 33 Observed

Feraligatr Observed Statistics

Performance Metrics

Feraligatr has a reported usage rate of 1.06% and win rate of 44.29% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 09/25/2026 to 10/09/2026, with 17,314 recorded battles. 163 wins and 205 losses (368 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 1.02% in the first available period (Period 1: 2026/09/25 20:04–2026/09/29 16:20 JST; n=8,658 team slots) and 0.36% in the last available period (Period 4: 2026/10/06 01:08–2026/10/09 20:00 JST; n=8,656 team slots), a change of -0.66 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 47.73% in the first available period (Period 1: 2026/09/25 20:04–2026/09/29 16:20 JST; n=88 recorded appearances) and 48.39% in the last available period (Period 4: 2026/10/06 01:08–2026/10/09 20:00 JST; n=31 recorded appearances), a change of +0.66 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 0.47% (R1262~; n=6,948 team slots) to 1.53% (~R1076; n=6,912 team slots), a spread of 1.06 percentage points. Overall usage was 1.06%. 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, Dragon Dance has the largest recorded team-use count (71; 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: Umbreon: 51.7% wins in 145 recorded pair observations; Lucario: 39.1% wins in 128 recorded pair observations; Basculegion: 44.3% wins in 122 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: Absol: 76.2% wins in 21 recorded pair observations; Volcarona: 61.9% wins in 21 recorded pair observations; Toxapex: 60.0% wins in 20 recorded pair observations. Returned lower-win-rate opponent group: Charizard: 28.9% wins in 45 recorded pair observations; Golisopod: 29.8% wins in 57 recorded pair observations; Baxcalibur: 33.3% wins in 51 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%

Umbreon
Umbreon145 recorded pair observations · 0.84 pair observations per 100 analyzed battles
51.7%
Lucario
Lucario128 recorded pair observations · 0.74 pair observations per 100 analyzed battles
39.1%
Basculegion
Basculegion122 recorded pair observations · 0.70 pair observations per 100 analyzed battles
44.3%
Scizor
Scizor80 recorded pair observations · 0.46 pair observations per 100 analyzed battles
57.5%
Serperior
Serperior75 recorded pair observations · 0.43 pair observations per 100 analyzed battles
44.0%
Ampharos
Ampharos59 recorded pair observations · 0.34 pair observations per 100 analyzed battles
64.4%
Slowking-Galar
Slowking-Galar59 recorded pair observations · 0.34 pair observations per 100 analyzed battles
62.7%
Azumarill
Azumarill58 recorded pair observations · 0.33 pair observations per 100 analyzed battles
63.8%
Clefable
Clefable57 recorded pair observations · 0.33 pair observations per 100 analyzed battles
45.6%
Garchomp
Garchomp56 recorded pair observations · 0.32 pair observations per 100 analyzed battles
33.9%
Grimmsnarl
Grimmsnarl46 recorded pair observations · 0.27 pair observations per 100 analyzed battles
45.6%
Raichu
Raichu42 recorded pair observations · 0.24 pair observations per 100 analyzed battles
33.3%
Aegislash
Aegislash36 recorded pair observations · 0.21 pair observations per 100 analyzed battles
30.6%
Weavile
Weavile36 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.3%
Blaziken
Blaziken34 recorded pair observations · 0.20 pair observations per 100 analyzed battles
35.3%
Toxtricity
Toxtricity29 recorded pair observations · 0.17 pair observations per 100 analyzed battles
65.5%
Ninetales-Alola
Ninetales-Alola28 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.9%
Baxcalibur
Baxcalibur25 recorded pair observations · 0.14 pair observations per 100 analyzed battles
36.0%
Metagross
Metagross24 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.0%
Sirfetch’d
Sirfetch’d24 recorded pair observations · 0.14 pair observations per 100 analyzed battles
25.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp122 recorded pair observations · 0.70 pair observations per 100 analyzed battles
42.6%
Salamence
Salamence73 recorded pair observations · 0.42 pair observations per 100 analyzed battles
48.0%
Archaludon
Archaludon66 recorded pair observations · 0.38 pair observations per 100 analyzed battles
40.9%
Primarina
Primarina65 recorded pair observations · 0.38 pair observations per 100 analyzed battles
36.9%
Gholdengo
Gholdengo57 recorded pair observations · 0.33 pair observations per 100 analyzed battles
47.4%
Golisopod
Golisopod57 recorded pair observations · 0.33 pair observations per 100 analyzed battles
29.8%
Rillaboom
Rillaboom53 recorded pair observations · 0.31 pair observations per 100 analyzed battles
56.6%
Baxcalibur
Baxcalibur51 recorded pair observations · 0.29 pair observations per 100 analyzed battles
33.3%
Basculegion
Basculegion49 recorded pair observations · 0.28 pair observations per 100 analyzed battles
44.9%
Charizard
Charizard45 recorded pair observations · 0.26 pair observations per 100 analyzed battles
28.9%
Lucario
Lucario44 recorded pair observations · 0.25 pair observations per 100 analyzed battles
45.5%
Corviknight
Corviknight42 recorded pair observations · 0.24 pair observations per 100 analyzed battles
50.0%
Sneasler
Sneasler42 recorded pair observations · 0.24 pair observations per 100 analyzed battles
35.7%
Glimmora
Glimmora40 recorded pair observations · 0.23 pair observations per 100 analyzed battles
35.0%
Blaziken
Blaziken38 recorded pair observations · 0.22 pair observations per 100 analyzed battles
42.1%
Mimikyu
Mimikyu35 recorded pair observations · 0.20 pair observations per 100 analyzed battles
34.3%
Hippowdon
Hippowdon34 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.9%
Swampert
Swampert32 recorded pair observations · 0.18 pair observations per 100 analyzed battles
34.4%
Clefable
Clefable28 recorded pair observations · 0.16 pair observations per 100 analyzed battles
46.4%
Kingambit
Kingambit28 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.9%

Higher Win-rate Partners

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

Toxtricity
Toxtricity29 recorded pair observations · 0.17 pair observations per 100 analyzed battles
65.5%
Ampharos
Ampharos59 recorded pair observations · 0.34 pair observations per 100 analyzed battles
64.4%
Azumarill
Azumarill58 recorded pair observations · 0.33 pair observations per 100 analyzed battles
63.8%
Slowking-Galar
Slowking-Galar59 recorded pair observations · 0.34 pair observations per 100 analyzed battles
62.7%
Weavile
Weavile36 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.3%
Scizor
Scizor80 recorded pair observations · 0.46 pair observations per 100 analyzed battles
57.5%
Golisopod
Golisopod23 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.2%
Umbreon
Umbreon145 recorded pair observations · 0.84 pair observations per 100 analyzed battles
51.7%
Metagross
Metagross24 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.0%
Scrafty
Scrafty22 recorded pair observations · 0.13 pair observations per 100 analyzed battles
50.0%

Lower Win-rate Partners

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

Incineroar
Incineroar17 recorded pair observations · 0.10 pair observations per 100 analyzed battles
23.5%
Sirfetch’d
Sirfetch’d24 recorded pair observations · 0.14 pair observations per 100 analyzed battles
25.0%
Pelipper
Pelipper18 recorded pair observations · 0.10 pair observations per 100 analyzed battles
27.8%
Aegislash
Aegislash36 recorded pair observations · 0.21 pair observations per 100 analyzed battles
30.6%
Raichu
Raichu42 recorded pair observations · 0.24 pair observations per 100 analyzed battles
33.3%
Garchomp
Garchomp56 recorded pair observations · 0.32 pair observations per 100 analyzed battles
33.9%
Blaziken
Blaziken34 recorded pair observations · 0.20 pair observations per 100 analyzed battles
35.3%
Corviknight
Corviknight17 recorded pair observations · 0.10 pair observations per 100 analyzed battles
35.3%
Baxcalibur
Baxcalibur25 recorded pair observations · 0.14 pair observations per 100 analyzed battles
36.0%
Zoroark-Hisui
Zoroark-Hisui24 recorded pair observations · 0.14 pair observations per 100 analyzed battles
37.5%

Higher Win-rate Opponent Teams

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

Absol
Absol21 recorded pair observations · 0.12 pair observations per 100 analyzed battles
76.2%
Volcarona
Volcarona21 recorded pair observations · 0.12 pair observations per 100 analyzed battles
61.9%
Toxapex
Toxapex20 recorded pair observations · 0.12 pair observations per 100 analyzed battles
60.0%
Grimmsnarl
Grimmsnarl17 recorded pair observations · 0.10 pair observations per 100 analyzed battles
58.8%
Hydreigon
Hydreigon19 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.9%
Rillaboom
Rillaboom53 recorded pair observations · 0.31 pair observations per 100 analyzed battles
56.6%
Hippowdon
Hippowdon34 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.9%
Blastoise
Blastoise19 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.6%
Corviknight
Corviknight42 recorded pair observations · 0.24 pair observations per 100 analyzed battles
50.0%
Ninetales-Alola
Ninetales-Alola25 recorded pair observations · 0.14 pair observations per 100 analyzed battles
48.0%

Lower Win-rate Opponent Teams

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

Charizard
Charizard45 recorded pair observations · 0.26 pair observations per 100 analyzed battles
28.9%
Golisopod
Golisopod57 recorded pair observations · 0.33 pair observations per 100 analyzed battles
29.8%
Baxcalibur
Baxcalibur51 recorded pair observations · 0.29 pair observations per 100 analyzed battles
33.3%
Mimikyu
Mimikyu35 recorded pair observations · 0.20 pair observations per 100 analyzed battles
34.3%
Swampert
Swampert32 recorded pair observations · 0.18 pair observations per 100 analyzed battles
34.4%
Cinderace
Cinderace23 recorded pair observations · 0.13 pair observations per 100 analyzed battles
34.8%
Glimmora
Glimmora40 recorded pair observations · 0.23 pair observations per 100 analyzed battles
35.0%
Umbreon
Umbreon20 recorded pair observations · 0.12 pair observations per 100 analyzed battles
35.0%
Sneasler
Sneasler42 recorded pair observations · 0.24 pair observations per 100 analyzed battles
35.7%
Sylveon
Sylveon19 recorded pair observations · 0.11 pair observations per 100 analyzed battles
36.8%