Last Updated: 11/14/2026 11:03 [UTC]

Absol

Tier E

Mega Evolution Battle (Pokemon Champions)

3.41%Usage Rate
39.67%Win Rate
30.22%Lead Rate
52.42%Selection Rate
1073Avg Rating

910 recorded team appearances · 361 wins · 549 losses · 11/02/2026–11/14/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Shadow Claw Recorded use in 156 of 910 distinct recorded team appearances (17.1%) 63 winning team uses of 156 recorded team uses
40.4%
Night Slash Recorded use in 92 of 910 distinct recorded team appearances (10.1%) 33 winning team uses of 92 recorded team uses
35.9%
Detect Recorded use in 87 of 910 distinct recorded team appearances (9.6%) 34 winning team uses of 87 recorded team uses
39.1%
Protect Recorded use in 63 of 910 distinct recorded team appearances (6.9%) 15 winning team uses of 63 recorded team uses
23.8%
Close Combat Recorded use in 42 of 910 distinct recorded team appearances (4.6%) 18 winning team uses of 42 recorded team uses
42.9%
Sucker Punch Recorded use in 38 of 910 distinct recorded team appearances (4.2%) 14 winning team uses of 38 recorded team uses
36.8%
Swords Dance Recorded use in 31 of 910 distinct recorded team appearances (3.4%) 12 winning team uses of 31 recorded team uses
38.7%
Focus Energy Recorded use in 18 of 910 distinct recorded team appearances (2.0%) 7 winning team uses of 18 recorded team uses
38.9%
Perish Song Recorded use in 17 of 910 distinct recorded team appearances (1.9%) 7 winning team uses of 17 recorded team uses
41.2%
Psycho Cut Recorded use in 15 of 910 distinct recorded team appearances (1.6%) 5 winning team uses of 15 recorded team uses
33.3%

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: 2026/11/02 05:31–2026/11/06 09:20 UTC 3.75 36.40 6672 250 Observed
Period 2: 2026/11/06 09:21–2026/11/09 04:38 UTC 3.09 46.60 6672 206 Observed
Period 3: 2026/11/09 04:41–2026/11/11 15:53 UTC 4.42 43.05 6672 295 Observed
Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC 2.38 29.56 6670 159 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1054 5.68 35.40 5124 291 Observed
~R1079 3.89 38.79 5508 214 Observed
~R1108 2.65 36.17 5318 141 Observed
~R1148 2.73 47.92 5268 144 Observed
R1148~ 2.19 45.83 5468 120 Observed

Absol Observed Statistics

Performance Metrics

Absol has a reported usage rate of 3.41% and win rate of 39.67% in Mega Evolution Battle (Pokemon Champions) (displayed tier: E). The report covers 11/02/2026 to 11/14/2026 (UTC), with 13,343 recorded battles. 361 wins and 549 losses (910 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 3.75% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=6,672 team slots) and 2.38% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=6,670 team slots), a change of -1.37 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 36.40% in the first available period (Period 1: 2026/11/02 05:31–2026/11/06 09:20 UTC; n=250 recorded appearances) and 29.56% in the last available period (Period 4: 2026/11/11 15:53–2026/11/14 10:58 UTC; n=159 recorded appearances), a change of -6.84 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 2.19% (R1148~; n=5,468 team slots) to 5.68% (~R1054; n=5,124 team slots), a spread of 3.49 percentage points. Overall usage was 3.41%. 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 (156; 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: Clefable: 46.0% wins in 315 recorded pair observations; Sableye: 39.3% wins in 252 recorded pair observations; Garchomp: 40.1% wins in 237 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: Starmie: 61.9% wins in 21 recorded pair observations; Abomasnow: 60.9% wins in 23 recorded pair observations; Malamar: 59.1% wins in 44 recorded pair observations. Returned lower-win-rate opponent group: Steelix: 16.7% wins in 18 recorded pair observations; Floette-Eternal: 26.7% wins in 120 recorded pair observations; Delphox: 28.6% wins in 70 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%

Clefable
Clefable315 recorded pair observations · 2.36 pair observations per 100 analyzed battles
46.0%
Sableye
Sableye252 recorded pair observations · 1.89 pair observations per 100 analyzed battles
39.3%
Garchomp
Garchomp237 recorded pair observations · 1.78 pair observations per 100 analyzed battles
40.1%
Scrafty
Scrafty212 recorded pair observations · 1.59 pair observations per 100 analyzed battles
46.7%
Raichu
Raichu181 recorded pair observations · 1.36 pair observations per 100 analyzed battles
30.9%
Kangaskhan
Kangaskhan148 recorded pair observations · 1.11 pair observations per 100 analyzed battles
49.3%
Blaziken
Blaziken145 recorded pair observations · 1.09 pair observations per 100 analyzed battles
42.8%
Golisopod
Golisopod131 recorded pair observations · 0.98 pair observations per 100 analyzed battles
33.6%
Gengar
Gengar127 recorded pair observations · 0.95 pair observations per 100 analyzed battles
38.6%
Metagross
Metagross124 recorded pair observations · 0.93 pair observations per 100 analyzed battles
46.8%
Aerodactyl
Aerodactyl121 recorded pair observations · 0.91 pair observations per 100 analyzed battles
52.1%
Froslass
Froslass114 recorded pair observations · 0.85 pair observations per 100 analyzed battles
52.6%
Blastoise
Blastoise112 recorded pair observations · 0.84 pair observations per 100 analyzed battles
53.6%
Meowstic
Meowstic102 recorded pair observations · 0.76 pair observations per 100 analyzed battles
34.3%
Excadrill
Excadrill99 recorded pair observations · 0.74 pair observations per 100 analyzed battles
40.4%
Salamence
Salamence99 recorded pair observations · 0.74 pair observations per 100 analyzed battles
46.5%
Glimmora
Glimmora92 recorded pair observations · 0.69 pair observations per 100 analyzed battles
42.4%
Tyranitar
Tyranitar92 recorded pair observations · 0.69 pair observations per 100 analyzed battles
42.4%
Greninja
Greninja91 recorded pair observations · 0.68 pair observations per 100 analyzed battles
33.0%
Lucario
Lucario90 recorded pair observations · 0.67 pair observations per 100 analyzed battles
30.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Garchomp
Garchomp418 recorded pair observations · 3.13 pair observations per 100 analyzed battles
37.1%
Clefable
Clefable313 recorded pair observations · 2.35 pair observations per 100 analyzed battles
42.5%
Sableye
Sableye261 recorded pair observations · 1.96 pair observations per 100 analyzed battles
41.4%
Scrafty
Scrafty230 recorded pair observations · 1.72 pair observations per 100 analyzed battles
35.2%
Tyranitar
Tyranitar220 recorded pair observations · 1.65 pair observations per 100 analyzed battles
34.1%
Excadrill
Excadrill197 recorded pair observations · 1.48 pair observations per 100 analyzed battles
37.6%
Staraptor
Staraptor178 recorded pair observations · 1.33 pair observations per 100 analyzed battles
36.0%
Aerodactyl
Aerodactyl172 recorded pair observations · 1.29 pair observations per 100 analyzed battles
43.6%
Kangaskhan
Kangaskhan166 recorded pair observations · 1.24 pair observations per 100 analyzed battles
38.5%
Raichu
Raichu166 recorded pair observations · 1.24 pair observations per 100 analyzed battles
45.8%
Meowstic
Meowstic157 recorded pair observations · 1.18 pair observations per 100 analyzed battles
41.4%
Charizard
Charizard150 recorded pair observations · 1.12 pair observations per 100 analyzed battles
40.7%
Venusaur
Venusaur149 recorded pair observations · 1.12 pair observations per 100 analyzed battles
39.6%
Gardevoir
Gardevoir132 recorded pair observations · 0.99 pair observations per 100 analyzed battles
39.4%
Blastoise
Blastoise122 recorded pair observations · 0.91 pair observations per 100 analyzed battles
32.0%
Floette-Eternal
Floette-Eternal120 recorded pair observations · 0.90 pair observations per 100 analyzed battles
26.7%
Gengar
Gengar117 recorded pair observations · 0.88 pair observations per 100 analyzed battles
39.3%
Scizor
Scizor116 recorded pair observations · 0.87 pair observations per 100 analyzed battles
37.9%
Chandelure
Chandelure115 recorded pair observations · 0.86 pair observations per 100 analyzed battles
40.0%
Gyarados
Gyarados112 recorded pair observations · 0.84 pair observations per 100 analyzed battles
40.2%

Higher Win-rate Partners

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

Lopunny
Lopunny18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
55.6%
Slowbro
Slowbro29 recorded pair observations · 0.22 pair observations per 100 analyzed battles
55.2%
Blastoise
Blastoise112 recorded pair observations · 0.84 pair observations per 100 analyzed battles
53.6%
Froslass
Froslass114 recorded pair observations · 0.85 pair observations per 100 analyzed battles
52.6%
Gallade
Gallade42 recorded pair observations · 0.31 pair observations per 100 analyzed battles
52.4%
Aerodactyl
Aerodactyl121 recorded pair observations · 0.91 pair observations per 100 analyzed battles
52.1%
Kangaskhan
Kangaskhan148 recorded pair observations · 1.11 pair observations per 100 analyzed battles
49.3%
Metagross
Metagross124 recorded pair observations · 0.93 pair observations per 100 analyzed battles
46.8%
Scrafty
Scrafty212 recorded pair observations · 1.59 pair observations per 100 analyzed battles
46.7%
Salamence
Salamence99 recorded pair observations · 0.74 pair observations per 100 analyzed battles
46.5%

Lower Win-rate Partners

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

Eelektross
Eelektross24 recorded pair observations · 0.18 pair observations per 100 analyzed battles
16.7%
Feraligatr
Feraligatr29 recorded pair observations · 0.22 pair observations per 100 analyzed battles
17.2%
Meganium
Meganium43 recorded pair observations · 0.32 pair observations per 100 analyzed battles
20.9%
Ampharos
Ampharos18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
22.2%
Alakazam
Alakazam33 recorded pair observations · 0.25 pair observations per 100 analyzed battles
24.2%
Hawlucha
Hawlucha45 recorded pair observations · 0.34 pair observations per 100 analyzed battles
24.4%
Gardevoir
Gardevoir75 recorded pair observations · 0.56 pair observations per 100 analyzed battles
28.0%
Emboar
Emboar14 recorded pair observations · 0.10 pair observations per 100 analyzed battles
28.6%
Charizard
Charizard65 recorded pair observations · 0.49 pair observations per 100 analyzed battles
29.2%
Gyarados
Gyarados41 recorded pair observations · 0.31 pair observations per 100 analyzed battles
29.3%

Higher Win-rate Opponent Teams

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

Starmie
Starmie21 recorded pair observations · 0.16 pair observations per 100 analyzed battles
61.9%
Abomasnow
Abomasnow23 recorded pair observations · 0.17 pair observations per 100 analyzed battles
60.9%
Malamar
Malamar44 recorded pair observations · 0.33 pair observations per 100 analyzed battles
59.1%
Meowstic-F
Meowstic-F30 recorded pair observations · 0.22 pair observations per 100 analyzed battles
53.3%
Greninja
Greninja49 recorded pair observations · 0.37 pair observations per 100 analyzed battles
51.0%
Absol
Absol38 recorded pair observations · 0.28 pair observations per 100 analyzed battles
50.0%
Alakazam
Alakazam14 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.0%
Drampa
Drampa40 recorded pair observations · 0.30 pair observations per 100 analyzed battles
50.0%
Lucario
Lucario22 recorded pair observations · 0.16 pair observations per 100 analyzed battles
50.0%
Scolipede
Scolipede16 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.0%

Lower Win-rate Opponent Teams

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

Steelix
Steelix18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
16.7%
Floette-Eternal
Floette-Eternal120 recorded pair observations · 0.90 pair observations per 100 analyzed battles
26.7%
Delphox
Delphox70 recorded pair observations · 0.52 pair observations per 100 analyzed battles
28.6%
Camerupt
Camerupt48 recorded pair observations · 0.36 pair observations per 100 analyzed battles
31.2%
Blastoise
Blastoise122 recorded pair observations · 0.91 pair observations per 100 analyzed battles
32.0%
Audino
Audino28 recorded pair observations · 0.21 pair observations per 100 analyzed battles
32.1%
Slowbro
Slowbro61 recorded pair observations · 0.46 pair observations per 100 analyzed battles
32.8%
Eelektross
Eelektross18 recorded pair observations · 0.13 pair observations per 100 analyzed battles
33.3%
Glimmora
Glimmora86 recorded pair observations · 0.64 pair observations per 100 analyzed battles
33.7%
Tyranitar
Tyranitar220 recorded pair observations · 1.65 pair observations per 100 analyzed battles
34.1%