Last Updated: 10/15/2026 11:06 [UTC]

Inteleon

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.01%Usage Rate
43.03%Win Rate
51.67%Lead Rate
71.94%Selection Rate
1188Avg Rating

6717 recorded team appearances · 2890 wins · 3827 losses · 10/01/2026–10/15/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Snipe Shot Recorded use in 2877 of 6717 distinct recorded team appearances (42.8%) 1405 winning team uses of 2877 recorded team uses
48.8%
Protect Recorded use in 1618 of 6717 distinct recorded team appearances (24.1%) 677 winning team uses of 1618 recorded team uses
41.8%
Ice Beam Recorded use in 1014 of 6717 distinct recorded team appearances (15.1%) 528 winning team uses of 1014 recorded team uses
52.1%
Focus Energy Recorded use in 1012 of 6717 distinct recorded team appearances (15.1%) 438 winning team uses of 1012 recorded team uses
43.3%
Soak Recorded use in 227 of 6717 distinct recorded team appearances (3.4%) 88 winning team uses of 227 recorded team uses
38.8%
Dark Pulse Recorded use in 210 of 6717 distinct recorded team appearances (3.1%) 89 winning team uses of 210 recorded team uses
42.4%
Icy Wind Recorded use in 185 of 6717 distinct recorded team appearances (2.8%) 88 winning team uses of 185 recorded team uses
47.6%
Muddy Water Recorded use in 99 of 6717 distinct recorded team appearances (1.5%) 56 winning team uses of 99 recorded team uses
56.6%
Air Cutter Recorded use in 88 of 6717 distinct recorded team appearances (1.3%) 44 winning team uses of 88 recorded team uses
50.0%
Substitute Recorded use in 88 of 6717 distinct recorded team appearances (1.3%) 37 winning team uses of 88 recorded team uses
42.0%

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: 2026/10/01 11:01–2026/10/04 22:39 UTC 1.13 43.82 166048 1878 Observed
Period 2: 2026/10/04 22:39–2026/10/08 10:25 UTC 1.01 43.03 166048 1671 Observed
Period 3: 2026/10/08 10:25–2026/10/11 21:18 UTC 1.05 41.96 166048 1747 Observed
Period 4: 2026/10/11 21:18–2026/10/15 10:58 UTC 0.86 43.28 166048 1421 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1130 1.71 44.34 131466 2253 Observed
~R1206 1.41 41.77 133900 1889 Observed
~R1294 1.02 43.17 131626 1339 Observed
~R1390 0.60 42.77 134222 809 Observed
R1390~ 0.32 41.69 132978 427 Observed

Inteleon Observed Statistics

Performance Metrics

Inteleon has a reported usage rate of 1.01% and win rate of 43.03% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/01/2026 to 10/15/2026 (UTC), with 332,096 recorded battles. 2,890 wins and 3,827 losses (6,717 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 1.13% in the first available period (Period 1: 2026/10/01 11:01–2026/10/04 22:39 UTC; n=166,048 team slots) and 0.86% in the last available period (Period 4: 2026/10/11 21:18–2026/10/15 10:58 UTC; n=166,048 team slots), a change of -0.27 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 43.82% in the first available period (Period 1: 2026/10/01 11:01–2026/10/04 22:39 UTC; n=1,878 recorded appearances) and 43.28% in the last available period (Period 4: 2026/10/11 21:18–2026/10/15 10:58 UTC; n=1,421 recorded appearances), a change of -0.54 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 0.32% (R1390~; n=132,978 team slots) to 1.71% (~R1130; n=131,466 team slots), a spread of 1.39 percentage points. Overall usage was 1.01%. 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 (2,877; 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: Raichu: 43.9% wins in 2,200 recorded pair observations; Pelipper: 44.9% wins in 2,188 recorded pair observations; Indeedee-F: 44.0% wins in 1,993 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: Sinistcha: 48.6% wins in 675 recorded pair observations; Arcanine-Hisui: 47.3% wins in 457 recorded pair observations; Metagross: 47.2% wins in 388 recorded pair observations. Returned lower-win-rate opponent group: Charizard: 36.9% wins in 818 recorded pair observations; Sylveon: 37.0% wins in 462 recorded pair observations; Farigiraf: 37.2% wins in 1,005 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%

Raichu
Raichu2200 recorded pair observations · 0.66 pair observations per 100 analyzed battles
43.9%
Pelipper
Pelipper2188 recorded pair observations · 0.66 pair observations per 100 analyzed battles
44.9%
Indeedee-F
Indeedee-F1993 recorded pair observations · 0.60 pair observations per 100 analyzed battles
44.0%
Rillaboom
Rillaboom1635 recorded pair observations · 0.49 pair observations per 100 analyzed battles
43.7%
Golisopod
Golisopod1262 recorded pair observations · 0.38 pair observations per 100 analyzed battles
45.2%
Dragapult
Dragapult1189 recorded pair observations · 0.36 pair observations per 100 analyzed battles
42.8%
Sneasler
Sneasler1018 recorded pair observations · 0.31 pair observations per 100 analyzed battles
44.8%
Garchomp
Garchomp958 recorded pair observations · 0.29 pair observations per 100 analyzed battles
43.8%
Whimsicott
Whimsicott914 recorded pair observations · 0.28 pair observations per 100 analyzed battles
41.9%
Salamence
Salamence898 recorded pair observations · 0.27 pair observations per 100 analyzed battles
44.2%
Incineroar
Incineroar844 recorded pair observations · 0.25 pair observations per 100 analyzed battles
45.1%
Farigiraf
Farigiraf638 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.8%
Volcarona
Volcarona617 recorded pair observations · 0.19 pair observations per 100 analyzed battles
44.6%
Sinistcha
Sinistcha610 recorded pair observations · 0.18 pair observations per 100 analyzed battles
40.7%
Gholdengo
Gholdengo508 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.9%
Archaludon
Archaludon503 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.9%
Tsareena
Tsareena391 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.5%
Maushold
Maushold383 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.2%
Basculegion
Basculegion357 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.9%
Gardevoir
Gardevoir352 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2270 recorded pair observations · 0.68 pair observations per 100 analyzed battles
43.0%
Sneasler
Sneasler2082 recorded pair observations · 0.63 pair observations per 100 analyzed battles
42.1%
Incineroar
Incineroar1858 recorded pair observations · 0.56 pair observations per 100 analyzed battles
43.8%
Garchomp
Garchomp1578 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.7%
Indeedee-F
Indeedee-F1292 recorded pair observations · 0.39 pair observations per 100 analyzed battles
43.7%
Kingambit
Kingambit1242 recorded pair observations · 0.37 pair observations per 100 analyzed battles
41.1%
Raichu
Raichu1142 recorded pair observations · 0.34 pair observations per 100 analyzed battles
43.1%
Gholdengo
Gholdengo1064 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.7%
Farigiraf
Farigiraf1005 recorded pair observations · 0.30 pair observations per 100 analyzed battles
37.2%
Salamence
Salamence964 recorded pair observations · 0.29 pair observations per 100 analyzed battles
40.9%
Archaludon
Archaludon928 recorded pair observations · 0.28 pair observations per 100 analyzed battles
39.4%
Pelipper
Pelipper879 recorded pair observations · 0.26 pair observations per 100 analyzed battles
38.7%
Golisopod
Golisopod867 recorded pair observations · 0.26 pair observations per 100 analyzed battles
37.5%
Charizard
Charizard818 recorded pair observations · 0.25 pair observations per 100 analyzed battles
36.9%
Volcarona
Volcarona787 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.7%
Basculegion
Basculegion779 recorded pair observations · 0.23 pair observations per 100 analyzed battles
39.3%
Whimsicott
Whimsicott743 recorded pair observations · 0.22 pair observations per 100 analyzed battles
40.5%
Milotic
Milotic675 recorded pair observations · 0.20 pair observations per 100 analyzed battles
44.7%
Sinistcha
Sinistcha675 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.6%
Tyranitar
Tyranitar654 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.4%

Higher Win-rate Partners

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

Farigiraf
Farigiraf638 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.8%
Ninetales-Alola
Ninetales-Alola322 recorded pair observations · 0.10 pair observations per 100 analyzed battles
47.2%
Archaludon
Archaludon503 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.9%
Gardevoir
Gardevoir352 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.5%
Absol
Absol349 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.3%
Golisopod
Golisopod1262 recorded pair observations · 0.38 pair observations per 100 analyzed battles
45.2%
Incineroar
Incineroar844 recorded pair observations · 0.25 pair observations per 100 analyzed battles
45.1%
Gholdengo
Gholdengo508 recorded pair observations · 0.15 pair observations per 100 analyzed battles
44.9%
Pelipper
Pelipper2188 recorded pair observations · 0.66 pair observations per 100 analyzed battles
44.9%
Sneasler
Sneasler1018 recorded pair observations · 0.31 pair observations per 100 analyzed battles
44.8%

Lower Win-rate Partners

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

Kingambit
Kingambit342 recorded pair observations · 0.10 pair observations per 100 analyzed battles
40.1%
Sinistcha
Sinistcha610 recorded pair observations · 0.18 pair observations per 100 analyzed battles
40.7%
Basculegion
Basculegion357 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.9%
Maushold
Maushold383 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.2%
Whimsicott
Whimsicott914 recorded pair observations · 0.28 pair observations per 100 analyzed battles
41.9%
Tsareena
Tsareena391 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.5%
Dragapult
Dragapult1189 recorded pair observations · 0.36 pair observations per 100 analyzed battles
42.8%
Indeedee
Indeedee346 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.8%

Higher Win-rate Opponent Teams

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

Sinistcha
Sinistcha675 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.6%
Arcanine-Hisui
Arcanine-Hisui457 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.3%
Metagross
Metagross388 recorded pair observations · 0.12 pair observations per 100 analyzed battles
47.2%
Gengar
Gengar333 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.2%
Dragonite
Dragonite328 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.7%
Volcarona
Volcarona787 recorded pair observations · 0.24 pair observations per 100 analyzed battles
45.7%
Milotic
Milotic675 recorded pair observations · 0.20 pair observations per 100 analyzed battles
44.7%
Incineroar
Incineroar1858 recorded pair observations · 0.56 pair observations per 100 analyzed battles
43.8%
Garchomp
Garchomp1578 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.7%
Gholdengo
Gholdengo1064 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.7%

Lower Win-rate Opponent Teams

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

Charizard
Charizard818 recorded pair observations · 0.25 pair observations per 100 analyzed battles
36.9%
Sylveon
Sylveon462 recorded pair observations · 0.14 pair observations per 100 analyzed battles
37.0%
Farigiraf
Farigiraf1005 recorded pair observations · 0.30 pair observations per 100 analyzed battles
37.2%
Golisopod
Golisopod867 recorded pair observations · 0.26 pair observations per 100 analyzed battles
37.5%
Politoed
Politoed472 recorded pair observations · 0.14 pair observations per 100 analyzed battles
38.1%
Pelipper
Pelipper879 recorded pair observations · 0.26 pair observations per 100 analyzed battles
38.7%
Torkoal
Torkoal404 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.1%
Basculegion
Basculegion779 recorded pair observations · 0.23 pair observations per 100 analyzed battles
39.3%
Archaludon
Archaludon928 recorded pair observations · 0.28 pair observations per 100 analyzed battles
39.4%
Grimmsnarl
Grimmsnarl380 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.5%