Last Updated: 10/26/2026 11:07 [UTC]

Incineroar

Tier B

VGC 2026 Regulation M-C (Pokemon Champions)

27.24%Usage Rate
50.48%Win Rate
35.77%Lead Rate
64.55%Selection Rate
1292Avg Rating

175396 recorded team appearances · 88538 wins · 86858 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Fake Out Recorded use in 64253 of 175408 distinct recorded team appearances (36.6%) 32588 winning team uses of 64253 recorded team uses
50.7%
Parting Shot Recorded use in 44197 of 175408 distinct recorded team appearances (25.2%) 24380 winning team uses of 44197 recorded team uses
55.2%
Flare Blitz Recorded use in 44145 of 175408 distinct recorded team appearances (25.2%) 22623 winning team uses of 44145 recorded team uses
51.2%
Darkest Lariat Recorded use in 19455 of 175408 distinct recorded team appearances (11.1%) 9839 winning team uses of 19455 recorded team uses
50.6%
Throat Chop Recorded use in 15153 of 175408 distinct recorded team appearances (8.6%) 7545 winning team uses of 15153 recorded team uses
49.8%
Protect Recorded use in 5478 of 175408 distinct recorded team appearances (3.1%) 2984 winning team uses of 5478 recorded team uses
54.5%
Snarl Recorded use in 2708 of 175408 distinct recorded team appearances (1.5%) 1425 winning team uses of 2708 recorded team uses
52.6%
Close Combat Recorded use in 1278 of 175408 distinct recorded team appearances (0.7%) 624 winning team uses of 1278 recorded team uses
48.8%
Helping Hand Recorded use in 918 of 175408 distinct recorded team appearances (0.5%) 466 winning team uses of 918 recorded team uses
50.8%
Will-O-Wisp Recorded use in 870 of 175408 distinct recorded team appearances (0.5%) 403 winning team uses of 870 recorded team uses
46.3%

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 11:01–2026/10/16 00:34 UTC 27.83 50.56 160964 44793 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 26.95 50.70 160962 43372 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:24 UTC 28.19 50.44 160962 45382 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 26.00 50.21 160962 41849 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 24.32 51.34 128104 31158 Observed
~R1208 25.83 50.61 129166 33358 Observed
~R1302 26.79 49.96 126962 34018 Observed
~R1405 27.88 50.40 130626 36422 Observed
R1405~ 31.35 50.21 128992 40440 Observed

Incineroar Observed Statistics

Performance Metrics

Incineroar has a reported usage rate of 27.24% and win rate of 50.48% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: B). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,925 recorded battles. 88,538 wins and 86,858 losses (175,396 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 27.83% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,964 team slots) and 26.00% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,962 team slots), a change of -1.83 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 50.56% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=44,793 recorded appearances) and 50.21% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=41,849 recorded appearances), a change of -0.35 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 24.32% (~R1129; n=128,104 team slots) to 31.35% (R1405~; n=128,992 team slots), a spread of 7.03 percentage points. Overall usage was 27.24%. 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, Fake Out has the largest recorded team-use count (64,253; 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: Rillaboom: 51.0% wins in 84,393 recorded pair observations; Garchomp: 51.2% wins in 70,340 recorded pair observations; Sneasler: 50.6% wins in 38,303 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: Clefable: 56.3% wins in 2,422 recorded pair observations; Alakazam: 56.1% wins in 2,589 recorded pair observations; Rotom-Wash: 56.0% wins in 3,324 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 43.8% wins in 8,293 recorded pair observations; Floette-Eternal: 47.2% wins in 13,244 recorded pair observations; Glimmora: 47.8% wins in 7,544 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%

Rillaboom
Rillaboom84393 recorded pair observations · 26.22 pair observations per 100 analyzed battles
51.0%
Garchomp
Garchomp70340 recorded pair observations · 21.85 pair observations per 100 analyzed battles
51.2%
Sneasler
Sneasler38303 recorded pair observations · 11.90 pair observations per 100 analyzed battles
50.6%
Farigiraf
Farigiraf36116 recorded pair observations · 11.22 pair observations per 100 analyzed battles
51.4%
Raichu
Raichu36116 recorded pair observations · 11.22 pair observations per 100 analyzed battles
51.4%
Charizard
Charizard33090 recorded pair observations · 10.28 pair observations per 100 analyzed battles
51.6%
Gholdengo
Gholdengo31044 recorded pair observations · 9.64 pair observations per 100 analyzed battles
50.5%
Sylveon
Sylveon28446 recorded pair observations · 8.84 pair observations per 100 analyzed battles
53.0%
Floette-Eternal
Floette-Eternal23664 recorded pair observations · 7.35 pair observations per 100 analyzed battles
52.9%
Gengar
Gengar22230 recorded pair observations · 6.91 pair observations per 100 analyzed battles
49.9%
Kingambit
Kingambit21990 recorded pair observations · 6.83 pair observations per 100 analyzed battles
50.5%
Volcarona
Volcarona20285 recorded pair observations · 6.30 pair observations per 100 analyzed battles
51.9%
Sinistcha
Sinistcha20173 recorded pair observations · 6.27 pair observations per 100 analyzed battles
48.8%
Archaludon
Archaludon19891 recorded pair observations · 6.18 pair observations per 100 analyzed battles
51.2%
Venusaur
Venusaur18215 recorded pair observations · 5.66 pair observations per 100 analyzed battles
53.5%
Basculegion
Basculegion17708 recorded pair observations · 5.50 pair observations per 100 analyzed battles
51.6%
Whimsicott
Whimsicott16987 recorded pair observations · 5.28 pair observations per 100 analyzed battles
47.1%
Golisopod
Golisopod16599 recorded pair observations · 5.16 pair observations per 100 analyzed battles
50.6%
Politoed
Politoed16586 recorded pair observations · 5.15 pair observations per 100 analyzed battles
50.5%
Indeedee-F
Indeedee-F15829 recorded pair observations · 4.92 pair observations per 100 analyzed battles
49.5%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom55329 recorded pair observations · 17.19 pair observations per 100 analyzed battles
50.1%
Sneasler
Sneasler53826 recorded pair observations · 16.72 pair observations per 100 analyzed battles
48.7%
Incineroar
Incineroar47988 recorded pair observations · 14.91 pair observations per 100 analyzed battles
50.0%
Garchomp
Garchomp46691 recorded pair observations · 14.50 pair observations per 100 analyzed battles
49.4%
Archaludon
Archaludon34623 recorded pair observations · 10.75 pair observations per 100 analyzed battles
48.3%
Raichu
Raichu33484 recorded pair observations · 10.40 pair observations per 100 analyzed battles
48.9%
Indeedee-F
Indeedee-F30657 recorded pair observations · 9.52 pair observations per 100 analyzed battles
51.7%
Kingambit
Kingambit30560 recorded pair observations · 9.49 pair observations per 100 analyzed battles
48.0%
Charizard
Charizard30476 recorded pair observations · 9.47 pair observations per 100 analyzed battles
49.4%
Farigiraf
Farigiraf29608 recorded pair observations · 9.20 pair observations per 100 analyzed battles
50.5%
Pelipper
Pelipper29432 recorded pair observations · 9.14 pair observations per 100 analyzed battles
48.2%
Golisopod
Golisopod25752 recorded pair observations · 8.00 pair observations per 100 analyzed battles
49.6%
Gholdengo
Gholdengo22772 recorded pair observations · 7.07 pair observations per 100 analyzed battles
50.0%
Whimsicott
Whimsicott21026 recorded pair observations · 6.53 pair observations per 100 analyzed battles
51.4%
Basculegion
Basculegion20922 recorded pair observations · 6.50 pair observations per 100 analyzed battles
48.5%
Salamence
Salamence19539 recorded pair observations · 6.07 pair observations per 100 analyzed battles
48.6%
Tyranitar
Tyranitar17062 recorded pair observations · 5.30 pair observations per 100 analyzed battles
49.8%
Sinistcha
Sinistcha16269 recorded pair observations · 5.05 pair observations per 100 analyzed battles
52.5%
Volcarona
Volcarona15618 recorded pair observations · 4.85 pair observations per 100 analyzed battles
50.6%
Sylveon
Sylveon15238 recorded pair observations · 4.73 pair observations per 100 analyzed battles
48.5%

Higher Win-rate Partners

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

Camerupt
Camerupt3975 recorded pair observations · 1.23 pair observations per 100 analyzed battles
54.1%
Delphox
Delphox6982 recorded pair observations · 2.17 pair observations per 100 analyzed battles
53.7%
Venusaur
Venusaur18215 recorded pair observations · 5.66 pair observations per 100 analyzed battles
53.5%
Sylveon
Sylveon28446 recorded pair observations · 8.84 pair observations per 100 analyzed battles
53.0%
Floette-Eternal
Floette-Eternal23664 recorded pair observations · 7.35 pair observations per 100 analyzed battles
52.9%
Froslass
Froslass7449 recorded pair observations · 2.31 pair observations per 100 analyzed battles
52.5%
Toxapex
Toxapex9001 recorded pair observations · 2.80 pair observations per 100 analyzed battles
52.5%
Mawile
Mawile3493 recorded pair observations · 1.09 pair observations per 100 analyzed battles
51.9%
Volcarona
Volcarona20285 recorded pair observations · 6.30 pair observations per 100 analyzed battles
51.9%
Basculegion
Basculegion17708 recorded pair observations · 5.50 pair observations per 100 analyzed battles
51.6%

Lower Win-rate Partners

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

Clefable
Clefable1761 recorded pair observations · 0.55 pair observations per 100 analyzed battles
43.1%
Rotom-Wash
Rotom-Wash2848 recorded pair observations · 0.88 pair observations per 100 analyzed battles
45.9%
Sableye
Sableye2343 recorded pair observations · 0.73 pair observations per 100 analyzed battles
45.9%
Corviknight
Corviknight2305 recorded pair observations · 0.72 pair observations per 100 analyzed battles
46.1%
Dragapult
Dragapult1799 recorded pair observations · 0.56 pair observations per 100 analyzed battles
46.2%
Maushold
Maushold2530 recorded pair observations · 0.79 pair observations per 100 analyzed battles
46.3%
Absol
Absol2033 recorded pair observations · 0.63 pair observations per 100 analyzed battles
46.6%
Whimsicott
Whimsicott16987 recorded pair observations · 5.28 pair observations per 100 analyzed battles
47.1%
Indeedee
Indeedee3005 recorded pair observations · 0.93 pair observations per 100 analyzed battles
47.9%
Baxcalibur
Baxcalibur3566 recorded pair observations · 1.11 pair observations per 100 analyzed battles
48.0%

Higher Win-rate Opponent Teams

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

Clefable
Clefable2422 recorded pair observations · 0.75 pair observations per 100 analyzed battles
56.3%
Alakazam
Alakazam2589 recorded pair observations · 0.80 pair observations per 100 analyzed battles
56.1%
Rotom-Wash
Rotom-Wash3324 recorded pair observations · 1.03 pair observations per 100 analyzed battles
56.0%
Meowscarada
Meowscarada1931 recorded pair observations · 0.60 pair observations per 100 analyzed battles
55.8%
Maushold
Maushold3524 recorded pair observations · 1.09 pair observations per 100 analyzed battles
55.5%
Pawmot
Pawmot2910 recorded pair observations · 0.90 pair observations per 100 analyzed battles
55.0%
Sableye
Sableye4443 recorded pair observations · 1.38 pair observations per 100 analyzed battles
54.7%
Gallade
Gallade2540 recorded pair observations · 0.79 pair observations per 100 analyzed battles
54.5%
Sceptile
Sceptile3400 recorded pair observations · 1.06 pair observations per 100 analyzed battles
54.5%
Absol
Absol3201 recorded pair observations · 0.99 pair observations per 100 analyzed battles
54.0%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F8293 recorded pair observations · 2.58 pair observations per 100 analyzed battles
43.8%
Floette-Eternal
Floette-Eternal13244 recorded pair observations · 4.11 pair observations per 100 analyzed battles
47.2%
Glimmora
Glimmora7544 recorded pair observations · 2.34 pair observations per 100 analyzed battles
47.8%
Kingambit
Kingambit30560 recorded pair observations · 9.49 pair observations per 100 analyzed battles
48.0%
Venusaur
Venusaur13725 recorded pair observations · 4.26 pair observations per 100 analyzed battles
48.0%
Kommo-o
Kommo-o8088 recorded pair observations · 2.51 pair observations per 100 analyzed battles
48.2%
Pelipper
Pelipper29432 recorded pair observations · 9.14 pair observations per 100 analyzed battles
48.2%
Annihilape
Annihilape7028 recorded pair observations · 2.18 pair observations per 100 analyzed battles
48.3%
Archaludon
Archaludon34623 recorded pair observations · 10.75 pair observations per 100 analyzed battles
48.3%
Staraptor
Staraptor12908 recorded pair observations · 4.01 pair observations per 100 analyzed battles
48.3%