Last Updated: 10/26/2026 11:09 [UTC]

Alakazam

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.50%Usage Rate
45.50%Win Rate
42.35%Lead Rate
59.56%Selection Rate
1218Avg Rating

9686 recorded team appearances · 4407 wins · 5279 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Expanding Force Recorded use in 3112 of 9686 distinct recorded team appearances (32.1%) 1696 winning team uses of 3112 recorded team uses
54.5%
Protect Recorded use in 1748 of 9686 distinct recorded team appearances (18.0%) 774 winning team uses of 1748 recorded team uses
44.3%
Speed Swap Recorded use in 1215 of 9686 distinct recorded team appearances (12.5%) 559 winning team uses of 1215 recorded team uses
46.0%
Focus Blast Recorded use in 604 of 9686 distinct recorded team appearances (6.2%) 290 winning team uses of 604 recorded team uses
48.0%
Dazzling Gleam Recorded use in 564 of 9686 distinct recorded team appearances (5.8%) 241 winning team uses of 564 recorded team uses
42.7%
Shadow Ball Recorded use in 355 of 9686 distinct recorded team appearances (3.7%) 158 winning team uses of 355 recorded team uses
44.5%
Psychic Recorded use in 323 of 9686 distinct recorded team appearances (3.3%) 139 winning team uses of 323 recorded team uses
43.0%
Nasty Plot Recorded use in 285 of 9686 distinct recorded team appearances (2.9%) 130 winning team uses of 285 recorded team uses
45.6%
Trick Room Recorded use in 166 of 9686 distinct recorded team appearances (1.7%) 80 winning team uses of 166 recorded team uses
48.2%
Ally Switch Recorded use in 145 of 9686 distinct recorded team appearances (1.5%) 61 winning team uses of 145 recorded team uses
42.1%

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: 2026/10/12 11:01–2026/10/16 00:34 UTC 1.30 44.97 160968 2099 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 1.61 47.24 160966 2587 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 1.28 44.40 160966 2054 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 1.83 45.11 160966 2946 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 2.32 46.13 128104 2972 Observed
~R1208 1.81 45.96 129182 2339 Observed
~R1302 1.45 43.97 126962 1840 Observed
~R1405 1.15 45.89 130626 1497 Observed
R1405~ 0.80 44.80 128992 1038 Observed

Alakazam Observed Statistics

Performance Metrics

Alakazam has a reported usage rate of 1.50% and win rate of 45.50% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/12/2026 to 10/26/2026 (UTC), with 321,933 recorded battles. 4,407 wins and 5,279 losses (9,686 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 1.30% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 1.83% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=160,966 team slots), a change of +0.53 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 44.97% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=2,099 recorded appearances) and 45.11% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=2,946 recorded appearances), a change of +0.14 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 0.80% (R1405~; n=128,992 team slots) to 2.32% (~R1129; n=128,104 team slots), a spread of 1.52 percentage points. Overall usage was 1.50%. 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, Expanding Force has the largest recorded team-use count (3,112; 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: Indeedee-F: 47.0% wins in 6,617 recorded pair observations; Sneasler: 47.0% wins in 2,529 recorded pair observations; Torkoal: 47.0% wins in 1,991 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: Ninetales-Alola: 53.0% wins in 353 recorded pair observations; Froslass: 51.9% wins in 422 recorded pair observations; Lucario: 51.6% wins in 310 recorded pair observations. Returned lower-win-rate opponent group: Excadrill: 36.8% wins in 631 recorded pair observations; Tyranitar: 38.6% wins in 925 recorded pair observations; Floette-Eternal: 39.1% wins in 614 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%

Indeedee-F
Indeedee-F6617 recorded pair observations · 2.06 pair observations per 100 analyzed battles
47.0%
Sneasler
Sneasler2529 recorded pair observations · 0.79 pair observations per 100 analyzed battles
47.0%
Torkoal
Torkoal1991 recorded pair observations · 0.62 pair observations per 100 analyzed battles
47.0%
Kingambit
Kingambit1433 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.0%
Incineroar
Incineroar1221 recorded pair observations · 0.38 pair observations per 100 analyzed battles
45.0%
Garchomp
Garchomp1111 recorded pair observations · 0.35 pair observations per 100 analyzed battles
46.2%
Sinistcha
Sinistcha1111 recorded pair observations · 0.35 pair observations per 100 analyzed battles
43.9%
Golisopod
Golisopod1054 recorded pair observations · 0.33 pair observations per 100 analyzed battles
47.1%
Whimsicott
Whimsicott889 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.3%
Pelipper
Pelipper833 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.4%
Indeedee
Indeedee824 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.1%
Gholdengo
Gholdengo749 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.1%
Basculegion
Basculegion691 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.5%
Rillaboom
Rillaboom684 recorded pair observations · 0.21 pair observations per 100 analyzed battles
44.4%
Tyranitar
Tyranitar671 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.8%
Grapploct
Grapploct635 recorded pair observations · 0.20 pair observations per 100 analyzed battles
46.0%
Charizard
Charizard615 recorded pair observations · 0.19 pair observations per 100 analyzed battles
46.3%
Annihilape
Annihilape606 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.5%
Camerupt
Camerupt606 recorded pair observations · 0.19 pair observations per 100 analyzed battles
50.5%
Milotic
Milotic605 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Sneasler
Sneasler2838 recorded pair observations · 0.88 pair observations per 100 analyzed battles
44.6%
Rillaboom
Rillaboom2836 recorded pair observations · 0.88 pair observations per 100 analyzed battles
43.8%
Incineroar
Incineroar2589 recorded pair observations · 0.80 pair observations per 100 analyzed battles
43.9%
Garchomp
Garchomp2431 recorded pair observations · 0.76 pair observations per 100 analyzed battles
44.3%
Indeedee-F
Indeedee-F1826 recorded pair observations · 0.57 pair observations per 100 analyzed battles
45.6%
Raichu
Raichu1784 recorded pair observations · 0.55 pair observations per 100 analyzed battles
44.8%
Archaludon
Archaludon1757 recorded pair observations · 0.55 pair observations per 100 analyzed battles
43.6%
Charizard
Charizard1567 recorded pair observations · 0.49 pair observations per 100 analyzed battles
43.5%
Farigiraf
Farigiraf1561 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.6%
Pelipper
Pelipper1550 recorded pair observations · 0.48 pair observations per 100 analyzed battles
42.1%
Kingambit
Kingambit1524 recorded pair observations · 0.47 pair observations per 100 analyzed battles
45.4%
Golisopod
Golisopod1326 recorded pair observations · 0.41 pair observations per 100 analyzed battles
42.5%
Whimsicott
Whimsicott1221 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.9%
Gholdengo
Gholdengo1220 recorded pair observations · 0.38 pair observations per 100 analyzed battles
41.8%
Basculegion
Basculegion1080 recorded pair observations · 0.34 pair observations per 100 analyzed battles
45.4%
Salamence
Salamence1043 recorded pair observations · 0.32 pair observations per 100 analyzed battles
41.7%
Sinistcha
Sinistcha963 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.9%
Tyranitar
Tyranitar925 recorded pair observations · 0.29 pair observations per 100 analyzed battles
38.6%
Milotic
Milotic831 recorded pair observations · 0.26 pair observations per 100 analyzed battles
44.6%
Volcarona
Volcarona816 recorded pair observations · 0.25 pair observations per 100 analyzed battles
45.2%

Higher Win-rate Partners

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

Drampa
Drampa509 recorded pair observations · 0.16 pair observations per 100 analyzed battles
52.3%
Camerupt
Camerupt606 recorded pair observations · 0.19 pair observations per 100 analyzed battles
50.5%
Armarouge
Armarouge595 recorded pair observations · 0.18 pair observations per 100 analyzed battles
50.1%
Arcanine-Hisui
Arcanine-Hisui400 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.0%
Staraptor
Staraptor333 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.0%
Annihilape
Annihilape606 recorded pair observations · 0.19 pair observations per 100 analyzed battles
48.5%
Gholdengo
Gholdengo749 recorded pair observations · 0.23 pair observations per 100 analyzed battles
48.1%
Basculegion
Basculegion691 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.5%
Milotic
Milotic605 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.4%
Pelipper
Pelipper833 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.4%

Lower Win-rate Partners

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

Raichu
Raichu325 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.5%
Baxcalibur
Baxcalibur319 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.6%
Archaludon
Archaludon588 recorded pair observations · 0.18 pair observations per 100 analyzed battles
42.7%
Sableye
Sableye345 recorded pair observations · 0.11 pair observations per 100 analyzed battles
42.9%
Kommo-o
Kommo-o346 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.4%
Metagross
Metagross370 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.8%
Lucario
Lucario387 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.9%
Sinistcha
Sinistcha1111 recorded pair observations · 0.35 pair observations per 100 analyzed battles
43.9%
Slurpuff
Slurpuff548 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.0%
Rillaboom
Rillaboom684 recorded pair observations · 0.21 pair observations per 100 analyzed battles
44.4%

Higher Win-rate Opponent Teams

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

Ninetales-Alola
Ninetales-Alola353 recorded pair observations · 0.11 pair observations per 100 analyzed battles
53.0%
Froslass
Froslass422 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.9%
Lucario
Lucario310 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.6%
Annihilape
Annihilape409 recorded pair observations · 0.13 pair observations per 100 analyzed battles
49.9%
Gengar
Gengar495 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.9%
Whimsicott
Whimsicott1221 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.9%
Glimmora
Glimmora421 recorded pair observations · 0.13 pair observations per 100 analyzed battles
48.5%
Staraptor
Staraptor693 recorded pair observations · 0.22 pair observations per 100 analyzed battles
47.8%
Sinistcha
Sinistcha963 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.9%
Torkoal
Torkoal573 recorded pair observations · 0.18 pair observations per 100 analyzed battles
46.6%

Lower Win-rate Opponent Teams

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

Excadrill
Excadrill631 recorded pair observations · 0.20 pair observations per 100 analyzed battles
36.8%
Tyranitar
Tyranitar925 recorded pair observations · 0.29 pair observations per 100 analyzed battles
38.6%
Floette-Eternal
Floette-Eternal614 recorded pair observations · 0.19 pair observations per 100 analyzed battles
39.1%
Delphox
Delphox339 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.2%
Aerodactyl
Aerodactyl318 recorded pair observations · 0.10 pair observations per 100 analyzed battles
39.9%
Primarina
Primarina464 recorded pair observations · 0.14 pair observations per 100 analyzed battles
41.4%
Basculegion-F
Basculegion-F386 recorded pair observations · 0.12 pair observations per 100 analyzed battles
41.5%
Swampert
Swampert431 recorded pair observations · 0.13 pair observations per 100 analyzed battles
41.5%
Salamence
Salamence1043 recorded pair observations · 0.32 pair observations per 100 analyzed battles
41.7%
Gardevoir
Gardevoir618 recorded pair observations · 0.19 pair observations per 100 analyzed battles
41.8%