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

Absol

Tier E

BSS Regulation M-C (Pokemon Champions)

2.81%Usage Rate
47.87%Win Rate
8.51%Lead Rate
32.27%Selection Rate
1154Avg Rating

1410 recorded team appearances · 675 wins · 735 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Shadow Claw Recorded use in 164 of 1410 distinct recorded team appearances (11.6%) 86 winning team uses of 164 recorded team uses
52.4%
Swords Dance Recorded use in 104 of 1410 distinct recorded team appearances (7.4%) 51 winning team uses of 104 recorded team uses
49.0%
Night Slash Recorded use in 82 of 1410 distinct recorded team appearances (5.8%) 46 winning team uses of 82 recorded team uses
56.1%
Close Combat Recorded use in 55 of 1410 distinct recorded team appearances (3.9%) 34 winning team uses of 55 recorded team uses
61.8%
Sucker Punch Recorded use in 48 of 1410 distinct recorded team appearances (3.4%) 21 winning team uses of 48 recorded team uses
43.8%
Knock Off Recorded use in 21 of 1410 distinct recorded team appearances (1.5%) 11 winning team uses of 21 recorded team uses
52.4%
Psycho Cut Recorded use in 20 of 1410 distinct recorded team appearances (1.4%) 11 winning team uses of 20 recorded team uses
55.0%
Shadow Sneak Recorded use in 12 of 1410 distinct recorded team appearances (0.9%) 6 winning team uses of 12 recorded team uses
50.0%

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: 2026/10/12 11:01–2026/10/15 12:54 UTC 2.69 49.55 12542 337 Observed
Period 2: 2026/10/15 12:55–2026/10/18 08:34 UTC 1.77 48.20 12542 222 Observed
Period 3: 2026/10/18 08:35–2026/10/21 16:36 UTC 3.01 48.28 12542 377 Observed
Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC 3.78 46.20 12540 474 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1089 3.35 47.01 9968 334 Observed
~R1142 3.65 50.96 9958 363 Observed
~R1208 3.33 47.32 10104 336 Observed
~R1298 2.53 46.25 10004 253 Observed
R1298~ 1.22 45.97 10132 124 Observed

Absol Observed Statistics

Performance Metrics

Absol has a reported usage rate of 2.81% and win rate of 47.87% in BSS Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 25,083 recorded battles. 675 wins and 735 losses (1,410 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 2.69% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=12,542 team slots) and 3.78% 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 +1.09 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 49.55% in the first available period (Period 1: 2026/10/12 11:01–2026/10/15 12:54 UTC; n=337 recorded appearances) and 46.20% in the last available period (Period 4: 2026/10/21 16:36–2026/10/26 10:58 UTC; n=474 recorded appearances), a change of -3.35 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 1.22% (R1298~; n=10,132 team slots) to 3.65% (~R1142; n=9,958 team slots), a spread of 2.43 percentage points. Overall usage was 2.81%. 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, Shadow Claw has the largest recorded team-use count (164; 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: 47.5% wins in 413 recorded pair observations; Corviknight: 48.6% wins in 282 recorded pair observations; Lucario: 46.6% wins in 281 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: Barbaracle: 62.0% wins in 71 recorded pair observations; Sylveon: 60.7% wins in 28 recorded pair observations; Gliscor: 58.9% wins in 56 recorded pair observations. Returned lower-win-rate opponent group: Whimsicott: 33.3% wins in 24 recorded pair observations; Rotom-Heat: 34.4% wins in 32 recorded pair observations; Cinderace: 36.6% wins in 71 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
Garchomp413 recorded pair observations · 1.65 pair observations per 100 analyzed battles
47.5%
Corviknight
Corviknight282 recorded pair observations · 1.12 pair observations per 100 analyzed battles
48.6%
Lucario
Lucario281 recorded pair observations · 1.12 pair observations per 100 analyzed battles
46.6%
Gholdengo
Gholdengo224 recorded pair observations · 0.89 pair observations per 100 analyzed battles
51.8%
Cinderace
Cinderace187 recorded pair observations · 0.75 pair observations per 100 analyzed battles
55.6%
Salamence
Salamence183 recorded pair observations · 0.73 pair observations per 100 analyzed battles
60.1%
Zoroark-Hisui
Zoroark-Hisui180 recorded pair observations · 0.72 pair observations per 100 analyzed battles
44.4%
Hippowdon
Hippowdon172 recorded pair observations · 0.69 pair observations per 100 analyzed battles
56.4%
Primarina
Primarina168 recorded pair observations · 0.67 pair observations per 100 analyzed battles
50.6%
Archaludon
Archaludon152 recorded pair observations · 0.61 pair observations per 100 analyzed battles
48.0%
Ceruledge
Ceruledge146 recorded pair observations · 0.58 pair observations per 100 analyzed battles
45.2%
Mimikyu
Mimikyu145 recorded pair observations · 0.58 pair observations per 100 analyzed battles
46.9%
Whimsicott
Whimsicott140 recorded pair observations · 0.56 pair observations per 100 analyzed battles
51.4%
Scizor
Scizor138 recorded pair observations · 0.55 pair observations per 100 analyzed battles
49.3%
Basculegion
Basculegion128 recorded pair observations · 0.51 pair observations per 100 analyzed battles
47.7%
Milotic
Milotic125 recorded pair observations · 0.50 pair observations per 100 analyzed battles
51.2%
Sneasler
Sneasler120 recorded pair observations · 0.48 pair observations per 100 analyzed battles
47.5%
Greninja
Greninja119 recorded pair observations · 0.47 pair observations per 100 analyzed battles
42.9%
Kingambit
Kingambit115 recorded pair observations · 0.46 pair observations per 100 analyzed battles
47.8%
Mamoswine
Mamoswine110 recorded pair observations · 0.44 pair observations per 100 analyzed battles
53.6%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp466 recorded pair observations · 1.86 pair observations per 100 analyzed battles
42.9%
Primarina
Primarina329 recorded pair observations · 1.31 pair observations per 100 analyzed battles
40.7%
Archaludon
Archaludon270 recorded pair observations · 1.08 pair observations per 100 analyzed battles
43.0%
Gholdengo
Gholdengo264 recorded pair observations · 1.05 pair observations per 100 analyzed battles
43.6%
Hippowdon
Hippowdon260 recorded pair observations · 1.04 pair observations per 100 analyzed battles
50.4%
Mimikyu
Mimikyu252 recorded pair observations · 1.00 pair observations per 100 analyzed battles
49.6%
Salamence
Salamence246 recorded pair observations · 0.98 pair observations per 100 analyzed battles
43.1%
Corviknight
Corviknight245 recorded pair observations · 0.98 pair observations per 100 analyzed battles
48.2%
Golisopod
Golisopod188 recorded pair observations · 0.75 pair observations per 100 analyzed battles
39.9%
Basculegion
Basculegion176 recorded pair observations · 0.70 pair observations per 100 analyzed battles
42.6%
Lucario
Lucario174 recorded pair observations · 0.69 pair observations per 100 analyzed battles
41.4%
Kingambit
Kingambit159 recorded pair observations · 0.63 pair observations per 100 analyzed battles
52.2%
Charizard
Charizard158 recorded pair observations · 0.63 pair observations per 100 analyzed battles
46.8%
Baxcalibur
Baxcalibur153 recorded pair observations · 0.61 pair observations per 100 analyzed battles
53.6%
Dragonite
Dragonite153 recorded pair observations · 0.61 pair observations per 100 analyzed battles
41.8%
Meowscarada
Meowscarada139 recorded pair observations · 0.55 pair observations per 100 analyzed battles
41.7%
Metagross
Metagross139 recorded pair observations · 0.55 pair observations per 100 analyzed battles
43.9%
Scizor
Scizor130 recorded pair observations · 0.52 pair observations per 100 analyzed battles
50.8%
Clefable
Clefable128 recorded pair observations · 0.51 pair observations per 100 analyzed battles
50.0%
Umbreon
Umbreon118 recorded pair observations · 0.47 pair observations per 100 analyzed battles
44.1%

Higher Win-rate Partners

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

Empoleon
Empoleon47 recorded pair observations · 0.19 pair observations per 100 analyzed battles
61.7%
Salamence
Salamence183 recorded pair observations · 0.73 pair observations per 100 analyzed battles
60.1%
Rotom-Mow
Rotom-Mow25 recorded pair observations · 0.10 pair observations per 100 analyzed battles
60.0%
Pyroar
Pyroar27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
59.3%
Slowking-Galar
Slowking-Galar48 recorded pair observations · 0.19 pair observations per 100 analyzed battles
58.3%
Starmie
Starmie33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
57.6%
Hippowdon
Hippowdon172 recorded pair observations · 0.69 pair observations per 100 analyzed battles
56.4%
Cinderace
Cinderace187 recorded pair observations · 0.75 pair observations per 100 analyzed battles
55.6%
Baxcalibur
Baxcalibur84 recorded pair observations · 0.33 pair observations per 100 analyzed battles
54.8%
Dragalge
Dragalge73 recorded pair observations · 0.29 pair observations per 100 analyzed battles
54.8%

Lower Win-rate Partners

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

Samurott-Hisui
Samurott-Hisui44 recorded pair observations · 0.18 pair observations per 100 analyzed battles
31.8%
Espathra
Espathra29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
34.5%
Blastoise
Blastoise37 recorded pair observations · 0.15 pair observations per 100 analyzed battles
35.1%
Quaquaval
Quaquaval30 recorded pair observations · 0.12 pair observations per 100 analyzed battles
36.7%
Umbreon
Umbreon27 recorded pair observations · 0.11 pair observations per 100 analyzed battles
37.0%
Dragonite
Dragonite51 recorded pair observations · 0.20 pair observations per 100 analyzed battles
37.2%
Grimmsnarl
Grimmsnarl75 recorded pair observations · 0.30 pair observations per 100 analyzed battles
37.3%
Sableye
Sableye33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
39.4%
Glimmora
Glimmora86 recorded pair observations · 0.34 pair observations per 100 analyzed battles
39.5%
Dragapult
Dragapult101 recorded pair observations · 0.40 pair observations per 100 analyzed battles
40.6%

Higher Win-rate Opponent Teams

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

Barbaracle
Barbaracle71 recorded pair observations · 0.28 pair observations per 100 analyzed battles
62.0%
Sylveon
Sylveon28 recorded pair observations · 0.11 pair observations per 100 analyzed battles
60.7%
Gliscor
Gliscor56 recorded pair observations · 0.22 pair observations per 100 analyzed battles
58.9%
Skarmory
Skarmory34 recorded pair observations · 0.14 pair observations per 100 analyzed battles
58.8%
Espathra
Espathra29 recorded pair observations · 0.12 pair observations per 100 analyzed battles
58.6%
Dragalge
Dragalge24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
58.3%
Scolipede
Scolipede62 recorded pair observations · 0.25 pair observations per 100 analyzed battles
58.1%
Arcanine-Hisui
Arcanine-Hisui33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
57.6%
Blaziken
Blaziken75 recorded pair observations · 0.30 pair observations per 100 analyzed battles
57.3%
Gyarados
Gyarados114 recorded pair observations · 0.45 pair observations per 100 analyzed battles
57.0%

Lower Win-rate Opponent Teams

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

Whimsicott
Whimsicott24 recorded pair observations · 0.10 pair observations per 100 analyzed battles
33.3%
Rotom-Heat
Rotom-Heat32 recorded pair observations · 0.13 pair observations per 100 analyzed battles
34.4%
Cinderace
Cinderace71 recorded pair observations · 0.28 pair observations per 100 analyzed battles
36.6%
Rotom-Wash
Rotom-Wash64 recorded pair observations · 0.26 pair observations per 100 analyzed battles
37.5%
Samurott-Hisui
Samurott-Hisui56 recorded pair observations · 0.22 pair observations per 100 analyzed battles
37.5%
Hydreigon
Hydreigon50 recorded pair observations · 0.20 pair observations per 100 analyzed battles
38.0%
Ditto
Ditto36 recorded pair observations · 0.14 pair observations per 100 analyzed battles
38.9%
Meganium
Meganium33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
39.4%
Zoroark-Hisui
Zoroark-Hisui33 recorded pair observations · 0.13 pair observations per 100 analyzed battles
39.4%
Golisopod
Golisopod188 recorded pair observations · 0.75 pair observations per 100 analyzed battles
39.9%