Last Updated: 10/10/2026 15:43 [UTC]

Inteleon

Tier E

BSS Regulation M-C (Pokemon Champions)

1.03%Usage Rate
45.75%Win Rate
21.64%Lead Rate
42.47%Selection Rate
1110Avg Rating

365 recorded team appearances · 167 wins · 198 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Snipe Shot Recorded use in 76 of 365 distinct recorded team appearances (20.8%) 40 winning team uses of 76 recorded team uses
52.6%
Ice Beam Recorded use in 42 of 365 distinct recorded team appearances (11.5%) 25 winning team uses of 42 recorded team uses
59.5%
Focus Energy Recorded use in 22 of 365 distinct recorded team appearances (6.0%) 11 winning team uses of 22 recorded team uses
50.0%
Vacuum Wave Recorded use in 18 of 365 distinct recorded team appearances (4.9%) 10 winning team uses of 18 recorded team uses
55.6%

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: 2026/09/26 23:13–2026/09/30 19:33 JST 0.86 44.74 8872 76 Observed
Period 2: 2026/09/30 19:34–2026/10/04 00:04 JST 1.58 45.00 8872 140 Observed
Period 3: 2026/10/04 00:04–2026/10/07 16:25 JST 0.72 40.62 8872 64 Observed
Period 4: 2026/10/07 16:25–2026/10/10 23:06 JST 0.96 51.76 8870 85 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1076 1.64 49.56 6902 113 Observed
~R1124 1.40 46.53 7190 101 Observed
~R1182 0.97 40.58 7100 69 Observed
~R1262 0.98 47.14 7170 70 Observed
R1262~ 0.17 25.00 7124 12 Observed

Inteleon Observed Statistics

Performance Metrics

Inteleon has a reported usage rate of 1.03% and win rate of 45.75% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 17,743 recorded battles. 167 wins and 198 losses (365 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 0.86% in the first available period (Period 1: 2026/09/26 23:13–2026/09/30 19:33 JST; n=8,872 team slots) and 0.96% in the last available period (Period 4: 2026/10/07 16:25–2026/10/10 23:06 JST; n=8,870 team slots), a change of +0.10 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 44.74% in the first available period (Period 1: 2026/09/26 23:13–2026/09/30 19:33 JST; n=76 recorded appearances) and 51.76% in the last available period (Period 4: 2026/10/07 16:25–2026/10/10 23:06 JST; n=85 recorded appearances), a change of +7.02 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 0.17% (R1262~; n=7,124 team slots) to 1.64% (~R1076; n=6,902 team slots), a spread of 1.47 percentage points. Overall usage was 1.03%. 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, Snipe Shot has the largest recorded team-use count (76; 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: 50.4% wins in 135 recorded pair observations; Golisopod: 45.8% wins in 107 recorded pair observations; Lucario: 48.3% wins in 60 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: Scizor: 84.2% wins in 19 recorded pair observations; Tyranitar: 69.6% wins in 23 recorded pair observations; Absol: 64.7% wins in 17 recorded pair observations. Returned lower-win-rate opponent group: Dragonite: 28.6% wins in 21 recorded pair observations; Golisopod: 29.0% wins in 69 recorded pair observations; Pawmot: 29.2% wins in 24 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
Garchomp135 recorded pair observations · 0.76 pair observations per 100 analyzed battles
50.4%
Golisopod
Golisopod107 recorded pair observations · 0.60 pair observations per 100 analyzed battles
45.8%
Lucario
Lucario60 recorded pair observations · 0.34 pair observations per 100 analyzed battles
48.3%
Pawmot
Pawmot60 recorded pair observations · 0.34 pair observations per 100 analyzed battles
38.3%
Archaludon
Archaludon57 recorded pair observations · 0.32 pair observations per 100 analyzed battles
33.3%
Sneasler
Sneasler50 recorded pair observations · 0.28 pair observations per 100 analyzed battles
56.0%
Rillaboom
Rillaboom49 recorded pair observations · 0.28 pair observations per 100 analyzed battles
49.0%
Sirfetch’d
Sirfetch’d48 recorded pair observations · 0.27 pair observations per 100 analyzed battles
47.9%
Umbreon
Umbreon48 recorded pair observations · 0.27 pair observations per 100 analyzed battles
39.6%
Indeedee
Indeedee44 recorded pair observations · 0.25 pair observations per 100 analyzed battles
52.3%
Slowbro-Galar
Slowbro-Galar42 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.2%
Maushold
Maushold39 recorded pair observations · 0.22 pair observations per 100 analyzed battles
51.3%
Salamence
Salamence37 recorded pair observations · 0.21 pair observations per 100 analyzed battles
29.7%
Primarina
Primarina36 recorded pair observations · 0.20 pair observations per 100 analyzed battles
41.7%
Absol
Absol31 recorded pair observations · 0.17 pair observations per 100 analyzed battles
35.5%
Serperior
Serperior30 recorded pair observations · 0.17 pair observations per 100 analyzed battles
53.3%
Toxtricity
Toxtricity30 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.0%
Corviknight
Corviknight27 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.1%
Alakazam
Alakazam26 recorded pair observations · 0.15 pair observations per 100 analyzed battles
53.9%
Delphox
Delphox26 recorded pair observations · 0.15 pair observations per 100 analyzed battles
38.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp130 recorded pair observations · 0.73 pair observations per 100 analyzed battles
43.9%
Golisopod
Golisopod69 recorded pair observations · 0.39 pair observations per 100 analyzed battles
29.0%
Primarina
Primarina66 recorded pair observations · 0.37 pair observations per 100 analyzed battles
30.3%
Salamence
Salamence61 recorded pair observations · 0.34 pair observations per 100 analyzed battles
42.6%
Archaludon
Archaludon57 recorded pair observations · 0.32 pair observations per 100 analyzed battles
42.1%
Corviknight
Corviknight56 recorded pair observations · 0.32 pair observations per 100 analyzed battles
39.3%
Gholdengo
Gholdengo50 recorded pair observations · 0.28 pair observations per 100 analyzed battles
38.0%
Rillaboom
Rillaboom49 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.0%
Hippowdon
Hippowdon44 recorded pair observations · 0.25 pair observations per 100 analyzed battles
34.1%
Baxcalibur
Baxcalibur43 recorded pair observations · 0.24 pair observations per 100 analyzed battles
46.5%
Basculegion
Basculegion40 recorded pair observations · 0.23 pair observations per 100 analyzed battles
30.0%
Mimikyu
Mimikyu38 recorded pair observations · 0.21 pair observations per 100 analyzed battles
36.8%
Lucario
Lucario37 recorded pair observations · 0.21 pair observations per 100 analyzed battles
35.1%
Meowscarada
Meowscarada33 recorded pair observations · 0.19 pair observations per 100 analyzed battles
42.4%
Sneasler
Sneasler33 recorded pair observations · 0.19 pair observations per 100 analyzed battles
42.4%
Metagross
Metagross31 recorded pair observations · 0.17 pair observations per 100 analyzed battles
38.7%
Charizard
Charizard30 recorded pair observations · 0.17 pair observations per 100 analyzed battles
40.0%
Kingambit
Kingambit29 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.8%
Blaziken
Blaziken28 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.9%
Raichu
Raichu27 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.1%

Higher Win-rate Partners

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

Barbaracle
Barbaracle17 recorded pair observations · 0.10 pair observations per 100 analyzed battles
70.6%
Eelektross
Eelektross18 recorded pair observations · 0.10 pair observations per 100 analyzed battles
66.7%
Volcarona
Volcarona24 recorded pair observations · 0.14 pair observations per 100 analyzed battles
66.7%
Gholdengo
Gholdengo23 recorded pair observations · 0.13 pair observations per 100 analyzed battles
60.9%
Ceruledge
Ceruledge22 recorded pair observations · 0.12 pair observations per 100 analyzed battles
59.1%
Meganium
Meganium22 recorded pair observations · 0.12 pair observations per 100 analyzed battles
59.1%
Zoroark-Hisui
Zoroark-Hisui26 recorded pair observations · 0.15 pair observations per 100 analyzed battles
57.7%
Sneasler
Sneasler50 recorded pair observations · 0.28 pair observations per 100 analyzed battles
56.0%
Kingambit
Kingambit18 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.6%
Alakazam
Alakazam26 recorded pair observations · 0.15 pair observations per 100 analyzed battles
53.9%

Lower Win-rate Partners

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

Raichu
Raichu18 recorded pair observations · 0.10 pair observations per 100 analyzed battles
22.2%
Scizor
Scizor25 recorded pair observations · 0.14 pair observations per 100 analyzed battles
28.0%
Salamence
Salamence37 recorded pair observations · 0.21 pair observations per 100 analyzed battles
29.7%
Archaludon
Archaludon57 recorded pair observations · 0.32 pair observations per 100 analyzed battles
33.3%
Cinderace
Cinderace17 recorded pair observations · 0.10 pair observations per 100 analyzed battles
35.3%
Absol
Absol31 recorded pair observations · 0.17 pair observations per 100 analyzed battles
35.5%
Baxcalibur
Baxcalibur21 recorded pair observations · 0.12 pair observations per 100 analyzed battles
38.1%
Pawmot
Pawmot60 recorded pair observations · 0.34 pair observations per 100 analyzed battles
38.3%
Delphox
Delphox26 recorded pair observations · 0.15 pair observations per 100 analyzed battles
38.5%
Umbreon
Umbreon48 recorded pair observations · 0.27 pair observations per 100 analyzed battles
39.6%

Higher Win-rate Opponent Teams

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

Scizor
Scizor19 recorded pair observations · 0.11 pair observations per 100 analyzed battles
84.2%
Tyranitar
Tyranitar23 recorded pair observations · 0.13 pair observations per 100 analyzed battles
69.6%
Absol
Absol17 recorded pair observations · 0.10 pair observations per 100 analyzed battles
64.7%
Grimmsnarl
Grimmsnarl17 recorded pair observations · 0.10 pair observations per 100 analyzed battles
64.7%
Hydreigon
Hydreigon19 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.9%
Ninetales-Alola
Ninetales-Alola23 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.2%
Volcarona
Volcarona23 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.2%
Rillaboom
Rillaboom49 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.0%
Excadrill
Excadrill22 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.0%
Raichu
Raichu27 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.1%

Lower Win-rate Opponent Teams

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

Dragonite
Dragonite21 recorded pair observations · 0.12 pair observations per 100 analyzed battles
28.6%
Golisopod
Golisopod69 recorded pair observations · 0.39 pair observations per 100 analyzed battles
29.0%
Pawmot
Pawmot24 recorded pair observations · 0.14 pair observations per 100 analyzed battles
29.2%
Basculegion
Basculegion40 recorded pair observations · 0.23 pair observations per 100 analyzed battles
30.0%
Primarina
Primarina66 recorded pair observations · 0.37 pair observations per 100 analyzed battles
30.3%
Aegislash
Aegislash23 recorded pair observations · 0.13 pair observations per 100 analyzed battles
30.4%
Dragapult
Dragapult24 recorded pair observations · 0.14 pair observations per 100 analyzed battles
33.3%
Glimmora
Glimmora24 recorded pair observations · 0.14 pair observations per 100 analyzed battles
33.3%
Gyarados
Gyarados18 recorded pair observations · 0.10 pair observations per 100 analyzed battles
33.3%
Hippowdon
Hippowdon44 recorded pair observations · 0.25 pair observations per 100 analyzed battles
34.1%