Last Updated: 10/26/2026 11:03 [UTC]

Rotom-Heat

Tier D

BSS Regulation M-C (Pokemon Champions)

2.51%Usage Rate
50.20%Win Rate
17.05%Lead Rate
39.41%Selection Rate
1220Avg Rating

1261 recorded team appearances · 633 wins · 628 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Volt Switch Recorded use in 233 of 1261 distinct recorded team appearances (18.5%) 108 winning team uses of 233 recorded team uses
46.4%
Overheat Recorded use in 202 of 1261 distinct recorded team appearances (16.0%) 92 winning team uses of 202 recorded team uses
45.5%
Will-O-Wisp Recorded use in 161 of 1261 distinct recorded team appearances (12.8%) 79 winning team uses of 161 recorded team uses
49.1%
Thunderbolt Recorded use in 105 of 1261 distinct recorded team appearances (8.3%) 48 winning team uses of 105 recorded team uses
45.7%
Pain Split Recorded use in 50 of 1261 distinct recorded team appearances (4.0%) 21 winning team uses of 50 recorded team uses
42.0%
Trick Recorded use in 26 of 1261 distinct recorded team appearances (2.1%) 11 winning team uses of 26 recorded team uses
42.3%
Discharge Recorded use in 15 of 1261 distinct recorded team appearances (1.2%) 7 winning team uses of 15 recorded team uses
46.7%
Foul Play Recorded use in 13 of 1261 distinct recorded team appearances (1.0%) 7 winning team uses of 13 recorded team uses
53.8%

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: 2026/10/12 11:01–2026/10/15 12:54 UTC 1.36 50.29 12542 171 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 2.67 48.96 12542 335 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 3.11 55.13 12542 390 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 2.91 46.03 12540 365 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 2.26 49.33 9968 225 Observed
~R1142 1.71 47.65 9958 170 Observed
~R1208 2.17 50.68 10104 219 Observed
~R1298 2.59 52.51 10004 259 Observed
R1298~ 3.83 50.00 10132 388 Observed

Rotom-Heat Observed Statistics

Performance Metrics

Rotom-Heat has a reported usage rate of 2.51% and win rate of 50.20% in BSS Regulation M-C (Pokemon Champions) (displayed tier: D). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 633 wins and 628 losses (1,261 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 1.36% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 2.91% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=12,540 team slots), a change of +1.55 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 50.29% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=171 recorded appearances) and 46.03% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=365 recorded appearances), a change of -4.26 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 1.71% (~R1142; n=9,958 team slots) to 3.83% (R1298~; n=10,132 team slots), a spread of 2.12 percentage points. Overall usage was 2.51%. 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, Volt Switch has the largest recorded team-use count (233; 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: 48.8% wins in 387 recorded pair observations; Primarina: 51.7% wins in 387 recorded pair observations; Metagross: 52.8% wins in 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: Sylveon: 73.3% wins in 30 recorded pair observations; Barbaracle: 71.7% wins in 46 recorded pair observations; Araquanid: 68.0% wins in 25 recorded pair observations. Returned lower-win-rate opponent group: Pelipper: 32.9% wins in 70 recorded pair observations; Dragapult: 34.3% wins in 35 recorded pair observations; Ditto: 36.8% wins in 38 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
Garchomp387 recorded pair observations · 1.54 pair observations per 100 analyzed battles
48.8%
Primarina
Primarina387 recorded pair observations · 1.54 pair observations per 100 analyzed battles
51.7%
Metagross
Metagross375 recorded pair observations · 1.50 pair observations per 100 analyzed battles
52.8%
Rillaboom
Rillaboom308 recorded pair observations · 1.23 pair observations per 100 analyzed battles
49.4%
Salamence
Salamence273 recorded pair observations · 1.09 pair observations per 100 analyzed battles
53.1%
Hippowdon
Hippowdon272 recorded pair observations · 1.08 pair observations per 100 analyzed battles
60.7%
Gholdengo
Gholdengo259 recorded pair observations · 1.03 pair observations per 100 analyzed battles
57.9%
Meowscarada
Meowscarada224 recorded pair observations · 0.89 pair observations per 100 analyzed battles
45.1%
Mimikyu
Mimikyu220 recorded pair observations · 0.88 pair observations per 100 analyzed battles
57.3%
Starmie
Starmie148 recorded pair observations · 0.59 pair observations per 100 analyzed battles
49.3%
Lucario
Lucario136 recorded pair observations · 0.54 pair observations per 100 analyzed battles
50.0%
Glimmora
Glimmora134 recorded pair observations · 0.53 pair observations per 100 analyzed battles
49.2%
Baxcalibur
Baxcalibur132 recorded pair observations · 0.53 pair observations per 100 analyzed battles
50.0%
Gyarados
Gyarados123 recorded pair observations · 0.49 pair observations per 100 analyzed battles
47.1%
Scizor
Scizor119 recorded pair observations · 0.47 pair observations per 100 analyzed battles
51.3%
Greninja
Greninja115 recorded pair observations · 0.46 pair observations per 100 analyzed battles
40.0%
Staraptor
Staraptor113 recorded pair observations · 0.45 pair observations per 100 analyzed battles
38.9%
Archaludon
Archaludon112 recorded pair observations · 0.45 pair observations per 100 analyzed battles
50.9%
Excadrill
Excadrill97 recorded pair observations · 0.39 pair observations per 100 analyzed battles
53.6%
Toxapex
Toxapex97 recorded pair observations · 0.39 pair observations per 100 analyzed battles
53.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp424 recorded pair observations · 1.69 pair observations per 100 analyzed battles
47.2%
Primarina
Primarina325 recorded pair observations · 1.30 pair observations per 100 analyzed battles
48.6%
Archaludon
Archaludon308 recorded pair observations · 1.23 pair observations per 100 analyzed battles
44.5%
Gholdengo
Gholdengo255 recorded pair observations · 1.02 pair observations per 100 analyzed battles
50.6%
Hippowdon
Hippowdon230 recorded pair observations · 0.92 pair observations per 100 analyzed battles
55.2%
Salamence
Salamence216 recorded pair observations · 0.86 pair observations per 100 analyzed battles
48.1%
Golisopod
Golisopod213 recorded pair observations · 0.85 pair observations per 100 analyzed battles
41.3%
Mimikyu
Mimikyu209 recorded pair observations · 0.83 pair observations per 100 analyzed battles
47.4%
Corviknight
Corviknight201 recorded pair observations · 0.80 pair observations per 100 analyzed battles
48.8%
Basculegion
Basculegion179 recorded pair observations · 0.71 pair observations per 100 analyzed battles
41.3%
Lucario
Lucario154 recorded pair observations · 0.61 pair observations per 100 analyzed battles
49.4%
Charizard
Charizard148 recorded pair observations · 0.59 pair observations per 100 analyzed battles
52.0%
Floette-Eternal
Floette-Eternal135 recorded pair observations · 0.54 pair observations per 100 analyzed battles
46.7%
Kingambit
Kingambit133 recorded pair observations · 0.53 pair observations per 100 analyzed battles
51.9%
Metagross
Metagross131 recorded pair observations · 0.52 pair observations per 100 analyzed battles
55.7%
Baxcalibur
Baxcalibur129 recorded pair observations · 0.51 pair observations per 100 analyzed battles
51.2%
Rillaboom
Rillaboom128 recorded pair observations · 0.51 pair observations per 100 analyzed battles
45.3%
Meowscarada
Meowscarada126 recorded pair observations · 0.50 pair observations per 100 analyzed battles
49.2%
Clefable
Clefable120 recorded pair observations · 0.48 pair observations per 100 analyzed battles
53.3%
Dragonite
Dragonite118 recorded pair observations · 0.47 pair observations per 100 analyzed battles
43.2%

Higher Win-rate Partners

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

Zoroark-Hisui
Zoroark-Hisui25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
80.0%
Dragonite
Dragonite69 recorded pair observations · 0.28 pair observations per 100 analyzed battles
73.9%
Altaria
Altaria28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
71.4%
Hippowdon
Hippowdon272 recorded pair observations · 1.08 pair observations per 100 analyzed battles
60.7%
Ceruledge
Ceruledge24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
58.3%
Floette-Eternal
Floette-Eternal88 recorded pair observations · 0.35 pair observations per 100 analyzed battles
58.0%
Gholdengo
Gholdengo259 recorded pair observations · 1.03 pair observations per 100 analyzed battles
57.9%
Golisopod
Golisopod87 recorded pair observations · 0.35 pair observations per 100 analyzed battles
57.5%
Mimikyu
Mimikyu220 recorded pair observations · 0.88 pair observations per 100 analyzed battles
57.3%
Samurott-Hisui
Samurott-Hisui79 recorded pair observations · 0.31 pair observations per 100 analyzed battles
57.0%

Lower Win-rate Partners

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

Medicham
Medicham27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
18.5%
Charizard
Charizard31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
32.3%
Staraptor
Staraptor113 recorded pair observations · 0.45 pair observations per 100 analyzed battles
38.9%
Greninja
Greninja115 recorded pair observations · 0.46 pair observations per 100 analyzed battles
40.0%
Skarmory
Skarmory48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
41.7%
Swampert
Swampert24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.7%
Meganium
Meganium35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
42.9%
Clefable
Clefable67 recorded pair observations · 0.27 pair observations per 100 analyzed battles
43.3%
Sceptile
Sceptile64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
43.8%
Meowscarada
Meowscarada224 recorded pair observations · 0.89 pair observations per 100 analyzed battles
45.1%

Higher Win-rate Opponent Teams

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

Sylveon
Sylveon30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
73.3%
Barbaracle
Barbaracle46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
71.7%
Araquanid
Araquanid25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
68.0%
Absol
Absol32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
65.6%
Incineroar
Incineroar29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
65.5%
Gliscor
Gliscor31 recorded pair observations · 0.12 pair observations per 100 analyzed battles
64.5%
Scizor
Scizor95 recorded pair observations · 0.38 pair observations per 100 analyzed battles
63.2%
Gyarados
Gyarados109 recorded pair observations · 0.43 pair observations per 100 analyzed battles
61.5%
Espathra
Espathra36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
61.1%
Excadrill
Excadrill30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
60.0%

Lower Win-rate Opponent Teams

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

Pelipper
Pelipper70 recorded pair observations · 0.28 pair observations per 100 analyzed battles
32.9%
Dragapult
Dragapult35 recorded pair observations · 0.14 pair observations per 100 analyzed battles
34.3%
Ditto
Ditto38 recorded pair observations · 0.15 pair observations per 100 analyzed battles
36.8%
Swampert
Swampert60 recorded pair observations · 0.24 pair observations per 100 analyzed battles
38.3%
Indeedee
Indeedee87 recorded pair observations · 0.35 pair observations per 100 analyzed battles
40.2%
Glimmora
Glimmora85 recorded pair observations · 0.34 pair observations per 100 analyzed battles
41.2%
Lopunny
Lopunny34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
41.2%
Basculegion
Basculegion179 recorded pair observations · 0.71 pair observations per 100 analyzed battles
41.3%
Golisopod
Golisopod213 recorded pair observations · 0.85 pair observations per 100 analyzed battles
41.3%
Venusaur
Venusaur46 recorded pair observations · 0.18 pair observations per 100 analyzed battles
41.3%