Last Updated: 10/23/2026 11:07 [UTC]

Rotom-Heat

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.90%Usage Rate
47.17%Win Rate
48.18%Lead Rate
67.89%Selection Rate
1225Avg Rating

12563 recorded team appearances · 5926 wins · 6637 losses · 10/09/2026–10/23/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Discharge Recorded use in 3614 of 12563 distinct recorded team appearances (28.8%) 1755 winning team uses of 3614 recorded team uses
48.6%
Overheat Recorded use in 2418 of 12563 distinct recorded team appearances (19.2%) 1186 winning team uses of 2418 recorded team uses
49.0%
Volt Switch Recorded use in 1991 of 12563 distinct recorded team appearances (15.8%) 935 winning team uses of 1991 recorded team uses
47.0%
Trick Recorded use in 954 of 12563 distinct recorded team appearances (7.6%) 382 winning team uses of 954 recorded team uses
40.0%
Thunderbolt Recorded use in 594 of 12563 distinct recorded team appearances (4.7%) 285 winning team uses of 594 recorded team uses
48.0%
Electroweb Recorded use in 441 of 12563 distinct recorded team appearances (3.5%) 193 winning team uses of 441 recorded team uses
43.8%
Will-O-Wisp Recorded use in 426 of 12563 distinct recorded team appearances (3.4%) 200 winning team uses of 426 recorded team uses
46.9%
Protect Recorded use in 215 of 12563 distinct recorded team appearances (1.7%) 89 winning team uses of 215 recorded team uses
41.4%
Light Screen Recorded use in 88 of 12563 distinct recorded team appearances (0.7%) 44 winning team uses of 88 recorded team uses
50.0%
Helping Hand Recorded use in 45 of 12563 distinct recorded team appearances (0.4%) 23 winning team uses of 45 recorded team uses
51.1%

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: 2026/10/09 11:00–2026/10/12 20:56 UTC 1.83 45.06 165040 3014 Observed
Period 2: 2026/10/12 20:56–2026/10/16 11:20 UTC 2.26 48.07 165040 3728 Observed
Period 3: 2026/10/16 11:20–2026/10/19 20:15 UTC 1.63 47.12 165040 2693 Observed
Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC 1.90 48.18 165040 3128 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1135 2.43 49.41 131704 3202 Observed
~R1214 2.55 48.22 132234 3368 Observed
~R1307 2.05 45.44 131652 2696 Observed
~R1410 1.76 46.64 132374 2335 Observed
R1410~ 0.73 42.20 132196 962 Observed

Rotom-Heat Observed Statistics

Performance Metrics

Rotom-Heat has a reported usage rate of 1.90% and win rate of 47.17% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/09/2026 to 10/23/2026 (UTC), with 330,080 recorded battles. 5,926 wins and 6,637 losses (12,563 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 1.83% in the first available period (Period 1: 2026/10/09 11:00–2026/10/12 20:56 UTC; n=165,040 team slots) and 1.90% in the last available period (Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC; n=165,040 team slots), a change of +0.07 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 45.06% in the first available period (Period 1: 2026/10/09 11:00–2026/10/12 20:56 UTC; n=3,014 recorded appearances) and 48.18% in the last available period (Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC; n=3,128 recorded appearances), a change of +3.12 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 0.73% (R1410~; n=132,196 team slots) to 2.55% (~R1214; n=132,234 team slots), a spread of 1.82 percentage points. Overall usage was 1.90%. 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, Discharge has the largest recorded team-use count (3,614; 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: Sceptile: 47.6% wins in 7,852 recorded pair observations; Tyranitar: 48.7% wins in 6,388 recorded pair observations; Sneasler: 48.2% wins in 6,375 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: Talonflame: 55.4% wins in 334 recorded pair observations; Aerodactyl: 51.9% wins in 349 recorded pair observations; Lucario: 51.2% wins in 492 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 39.1% wins in 463 recorded pair observations; Hatterene: 41.8% wins in 337 recorded pair observations; Golisopod: 42.2% wins in 1,753 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%

Sceptile
Sceptile7852 recorded pair observations · 2.38 pair observations per 100 analyzed battles
47.6%
Tyranitar
Tyranitar6388 recorded pair observations · 1.94 pair observations per 100 analyzed battles
48.7%
Sneasler
Sneasler6375 recorded pair observations · 1.93 pair observations per 100 analyzed battles
48.2%
Indeedee-F
Indeedee-F6188 recorded pair observations · 1.87 pair observations per 100 analyzed battles
48.1%
Excadrill
Excadrill5623 recorded pair observations · 1.70 pair observations per 100 analyzed battles
48.4%
Garchomp
Garchomp1713 recorded pair observations · 0.52 pair observations per 100 analyzed battles
47.6%
Rillaboom
Rillaboom1289 recorded pair observations · 0.39 pair observations per 100 analyzed battles
47.8%
Pelipper
Pelipper1156 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.9%
Gholdengo
Gholdengo1041 recorded pair observations · 0.32 pair observations per 100 analyzed battles
47.1%
Milotic
Milotic929 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.8%
Kingambit
Kingambit849 recorded pair observations · 0.26 pair observations per 100 analyzed battles
49.0%
Archaludon
Archaludon820 recorded pair observations · 0.25 pair observations per 100 analyzed battles
48.0%
Sinistcha
Sinistcha813 recorded pair observations · 0.25 pair observations per 100 analyzed battles
47.0%
Salamence
Salamence767 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.5%
Whimsicott
Whimsicott724 recorded pair observations · 0.22 pair observations per 100 analyzed battles
43.9%
Corviknight
Corviknight670 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.1%
Farigiraf
Farigiraf669 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.1%
Basculegion
Basculegion667 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.5%
Swampert
Swampert625 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.7%
Dragonite
Dragonite542 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom3895 recorded pair observations · 1.18 pair observations per 100 analyzed battles
45.8%
Sneasler
Sneasler3722 recorded pair observations · 1.13 pair observations per 100 analyzed battles
45.6%
Incineroar
Incineroar3391 recorded pair observations · 1.03 pair observations per 100 analyzed battles
46.9%
Garchomp
Garchomp3162 recorded pair observations · 0.96 pair observations per 100 analyzed battles
45.4%
Indeedee-F
Indeedee-F2436 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.9%
Archaludon
Archaludon2247 recorded pair observations · 0.68 pair observations per 100 analyzed battles
43.8%
Raichu
Raichu2204 recorded pair observations · 0.67 pair observations per 100 analyzed battles
45.2%
Farigiraf
Farigiraf2036 recorded pair observations · 0.62 pair observations per 100 analyzed battles
45.6%
Pelipper
Pelipper2018 recorded pair observations · 0.61 pair observations per 100 analyzed battles
44.0%
Kingambit
Kingambit2014 recorded pair observations · 0.61 pair observations per 100 analyzed battles
45.1%
Charizard
Charizard1919 recorded pair observations · 0.58 pair observations per 100 analyzed battles
47.2%
Golisopod
Golisopod1753 recorded pair observations · 0.53 pair observations per 100 analyzed battles
42.2%
Gholdengo
Gholdengo1683 recorded pair observations · 0.51 pair observations per 100 analyzed battles
48.8%
Whimsicott
Whimsicott1470 recorded pair observations · 0.45 pair observations per 100 analyzed battles
48.2%
Salamence
Salamence1403 recorded pair observations · 0.43 pair observations per 100 analyzed battles
45.8%
Basculegion
Basculegion1348 recorded pair observations · 0.41 pair observations per 100 analyzed battles
46.3%
Sinistcha
Sinistcha1219 recorded pair observations · 0.37 pair observations per 100 analyzed battles
49.4%
Tyranitar
Tyranitar1217 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.9%
Volcarona
Volcarona1181 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.3%
Milotic
Milotic1154 recorded pair observations · 0.35 pair observations per 100 analyzed battles
47.3%

Higher Win-rate Partners

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

Armarouge
Armarouge508 recorded pair observations · 0.15 pair observations per 100 analyzed battles
50.2%
Staraptor
Staraptor453 recorded pair observations · 0.14 pair observations per 100 analyzed battles
49.5%
Gardevoir
Gardevoir479 recorded pair observations · 0.15 pair observations per 100 analyzed battles
49.3%
Kingambit
Kingambit849 recorded pair observations · 0.26 pair observations per 100 analyzed battles
49.0%
Indeedee
Indeedee487 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.9%
Metagross
Metagross388 recorded pair observations · 0.12 pair observations per 100 analyzed battles
48.7%
Tyranitar
Tyranitar6388 recorded pair observations · 1.94 pair observations per 100 analyzed battles
48.7%
Salamence
Salamence767 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.5%
Excadrill
Excadrill5623 recorded pair observations · 1.70 pair observations per 100 analyzed battles
48.4%
Sneasler
Sneasler6375 recorded pair observations · 1.93 pair observations per 100 analyzed battles
48.2%

Lower Win-rate Partners

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

Farigiraf
Farigiraf669 recorded pair observations · 0.20 pair observations per 100 analyzed battles
42.1%
Raichu
Raichu512 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.6%
Whimsicott
Whimsicott724 recorded pair observations · 0.22 pair observations per 100 analyzed battles
43.9%
Glimmora
Glimmora408 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.6%
Dragonite
Dragonite542 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.6%
Venusaur
Venusaur327 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.6%
Golisopod
Golisopod450 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.8%
Milotic
Milotic929 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.8%
Sinistcha
Sinistcha813 recorded pair observations · 0.25 pair observations per 100 analyzed battles
47.0%
Floette-Eternal
Floette-Eternal333 recorded pair observations · 0.10 pair observations per 100 analyzed battles
47.1%

Higher Win-rate Opponent Teams

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

Talonflame
Talonflame334 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.4%
Aerodactyl
Aerodactyl349 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.9%
Lucario
Lucario492 recorded pair observations · 0.15 pair observations per 100 analyzed battles
51.2%
Dragapult
Dragapult314 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.0%
Torkoal
Torkoal738 recorded pair observations · 0.22 pair observations per 100 analyzed battles
50.0%
Sinistcha
Sinistcha1219 recorded pair observations · 0.37 pair observations per 100 analyzed battles
49.4%
Arcanine-Hisui
Arcanine-Hisui669 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.9%
Armarouge
Armarouge560 recorded pair observations · 0.17 pair observations per 100 analyzed battles
48.9%
Indeedee-F
Indeedee-F2436 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.9%
Baxcalibur
Baxcalibur336 recorded pair observations · 0.10 pair observations per 100 analyzed battles
48.8%

Lower Win-rate Opponent Teams

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

Basculegion-F
Basculegion-F463 recorded pair observations · 0.14 pair observations per 100 analyzed battles
39.1%
Hatterene
Hatterene337 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.8%
Golisopod
Golisopod1753 recorded pair observations · 0.53 pair observations per 100 analyzed battles
42.2%
Swampert
Swampert543 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.1%
Blaziken
Blaziken327 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.4%
Delphox
Delphox421 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.7%
Kommo-o
Kommo-o517 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.7%
Archaludon
Archaludon2247 recorded pair observations · 0.68 pair observations per 100 analyzed battles
43.8%
Excadrill
Excadrill827 recorded pair observations · 0.25 pair observations per 100 analyzed battles
44.0%
Pelipper
Pelipper2018 recorded pair observations · 0.61 pair observations per 100 analyzed battles
44.0%