Last Updated: 10/10/2026 14:12 [UTC]

Lokix

Tier D

OU (Over Used)

3.31%Usage Rate
50.95%Win Rate
27.81%Lead Rate
1255Avg Rating

9880 recorded team appearances · 5034 wins · 4846 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

First Impression Recorded use in 4781 of 9880 distinct recorded team appearances (48.4%) 2412 winning team uses of 4781 recorded team uses
50.4%
U-turn Recorded use in 3165 of 9880 distinct recorded team appearances (32.0%) 1689 winning team uses of 3165 recorded team uses
53.4%
Knock Off Recorded use in 2234 of 9880 distinct recorded team appearances (22.6%) 1088 winning team uses of 2234 recorded team uses
48.7%
Leech Life Recorded use in 993 of 9880 distinct recorded team appearances (10.1%) 443 winning team uses of 993 recorded team uses
44.6%
Sucker Punch Recorded use in 652 of 9880 distinct recorded team appearances (6.6%) 269 winning team uses of 652 recorded team uses
41.3%
Swords Dance Recorded use in 201 of 9880 distinct recorded team appearances (2.0%) 86 winning team uses of 201 recorded team uses
42.8%
Axe Kick Recorded use in 149 of 9880 distinct recorded team appearances (1.5%) 62 winning team uses of 149 recorded team uses
41.6%
Low Kick Recorded use in 28 of 9880 distinct recorded team appearances (0.3%) 13 winning team uses of 28 recorded team uses
46.4%
Throat Chop Recorded use in 19 of 9880 distinct recorded team appearances (0.2%) 9 winning team uses of 19 recorded team uses
47.4%
Brick Break Recorded use in 17 of 9880 distinct recorded team appearances (0.2%) 3 winning team uses of 17 recorded team uses
17.6%

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: 2026/09/26 23:07–2026/09/30 15:45 JST 3.38 50.56 74642 2520 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.86 50.12 74642 2137 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 3.27 51.33 74640 2443 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 3.72 51.62 74640 2780 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.54 57.77 60200 1532 Observed
~R1156 3.18 51.24 59416 1891 Observed
~R1268 3.65 49.40 59484 2172 Observed
~R1398 4.07 49.30 59960 2442 Observed
R1398~ 3.10 49.00 59504 1843 Observed

Lokix Observed Statistics

Performance Metrics

Lokix has a reported usage rate of 3.31% and win rate of 50.95% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 5,034 wins and 4,846 losses (9,880 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 3.38% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 3.72% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=74,640 team slots), a change of +0.34 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 50.56% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=2,520 recorded appearances) and 51.62% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=2,780 recorded appearances), a change of +1.06 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 2.54% (~R1084; n=60,200 team slots) to 4.07% (~R1398; n=59,960 team slots), a spread of 1.53 percentage points. Overall usage was 3.31%. 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, First Impression has the largest recorded team-use count (4,781; 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: Alomomola: 53.9% wins in 4,447 recorded pair observations; Great Tusk: 53.0% wins in 3,123 recorded pair observations; Iron Treads: 54.0% wins in 2,217 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: Gengar: 58.9% wins in 180 recorded pair observations; Greninja-*: 58.6% wins in 220 recorded pair observations; Skeledirge: 58.4% wins in 197 recorded pair observations. Returned lower-win-rate opponent group: Moltres: 43.0% wins in 444 recorded pair observations; Kyurem: 43.1% wins in 988 recorded pair observations; Enamorus: 43.4% wins in 355 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%

Alomomola
Alomomola4447 recorded pair observations · 2.98 pair observations per 100 analyzed battles
53.9%
Great Tusk
Great Tusk3123 recorded pair observations · 2.09 pair observations per 100 analyzed battles
53.0%
Iron Treads
Iron Treads2217 recorded pair observations · 1.49 pair observations per 100 analyzed battles
54.0%
Weezing-Galar
Weezing-Galar2053 recorded pair observations · 1.38 pair observations per 100 analyzed battles
55.1%
Gholdengo
Gholdengo1874 recorded pair observations · 1.26 pair observations per 100 analyzed battles
53.3%
Zamazenta-*
Zamazenta-*1715 recorded pair observations · 1.15 pair observations per 100 analyzed battles
55.5%
Tornadus-Therian
Tornadus-Therian1670 recorded pair observations · 1.12 pair observations per 100 analyzed battles
55.3%
Slowking-Galar
Slowking-Galar1408 recorded pair observations · 0.94 pair observations per 100 analyzed battles
51.4%
Iron Valiant
Iron Valiant1331 recorded pair observations · 0.89 pair observations per 100 analyzed battles
53.6%
Corviknight
Corviknight1313 recorded pair observations · 0.88 pair observations per 100 analyzed battles
49.9%
Cinderace
Cinderace1167 recorded pair observations · 0.78 pair observations per 100 analyzed battles
52.3%
Pecharunt
Pecharunt1084 recorded pair observations · 0.73 pair observations per 100 analyzed battles
51.1%
Gliscor
Gliscor989 recorded pair observations · 0.66 pair observations per 100 analyzed battles
48.1%
Mandibuzz
Mandibuzz929 recorded pair observations · 0.62 pair observations per 100 analyzed battles
54.7%
Raging Bolt
Raging Bolt882 recorded pair observations · 0.59 pair observations per 100 analyzed battles
49.8%
Iron Crown
Iron Crown781 recorded pair observations · 0.52 pair observations per 100 analyzed battles
54.0%
Dragapult
Dragapult763 recorded pair observations · 0.51 pair observations per 100 analyzed battles
54.1%
Ting-Lu
Ting-Lu675 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.9%
Zapdos
Zapdos672 recorded pair observations · 0.45 pair observations per 100 analyzed battles
52.1%
Iron Moth
Iron Moth653 recorded pair observations · 0.44 pair observations per 100 analyzed battles
52.1%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk2831 recorded pair observations · 1.90 pair observations per 100 analyzed battles
48.3%
Gholdengo
Gholdengo2098 recorded pair observations · 1.41 pair observations per 100 analyzed battles
49.6%
Kingambit
Kingambit1940 recorded pair observations · 1.30 pair observations per 100 analyzed battles
47.3%
Dragonite
Dragonite1417 recorded pair observations · 0.95 pair observations per 100 analyzed battles
51.0%
Ogerpon-Wellspring
Ogerpon-Wellspring1392 recorded pair observations · 0.93 pair observations per 100 analyzed battles
47.0%
Zamazenta-*
Zamazenta-*1363 recorded pair observations · 0.91 pair observations per 100 analyzed battles
47.0%
Iron Valiant
Iron Valiant1333 recorded pair observations · 0.89 pair observations per 100 analyzed battles
47.5%
Dragapult
Dragapult1293 recorded pair observations · 0.87 pair observations per 100 analyzed battles
51.1%
Gliscor
Gliscor1282 recorded pair observations · 0.86 pair observations per 100 analyzed battles
52.9%
Corviknight
Corviknight1269 recorded pair observations · 0.85 pair observations per 100 analyzed battles
51.0%
Raging Bolt
Raging Bolt1163 recorded pair observations · 0.78 pair observations per 100 analyzed battles
45.0%
Slowking-Galar
Slowking-Galar1127 recorded pair observations · 0.75 pair observations per 100 analyzed battles
46.6%
Alomomola
Alomomola1057 recorded pair observations · 0.71 pair observations per 100 analyzed battles
50.3%
Cinderace
Cinderace1027 recorded pair observations · 0.69 pair observations per 100 analyzed battles
48.6%
Hatterene
Hatterene1027 recorded pair observations · 0.69 pair observations per 100 analyzed battles
47.4%
Kyurem
Kyurem988 recorded pair observations · 0.66 pair observations per 100 analyzed battles
43.1%
Samurott-Hisui
Samurott-Hisui966 recorded pair observations · 0.65 pair observations per 100 analyzed battles
48.8%
Landorus-Therian
Landorus-Therian964 recorded pair observations · 0.65 pair observations per 100 analyzed battles
47.6%
Iron Treads
Iron Treads938 recorded pair observations · 0.63 pair observations per 100 analyzed battles
46.5%
Glimmora
Glimmora921 recorded pair observations · 0.62 pair observations per 100 analyzed battles
46.4%

Higher Win-rate Partners

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

Zamazenta-*
Zamazenta-*1715 recorded pair observations · 1.15 pair observations per 100 analyzed battles
55.5%
Tornadus-Therian
Tornadus-Therian1670 recorded pair observations · 1.12 pair observations per 100 analyzed battles
55.3%
Weezing-Galar
Weezing-Galar2053 recorded pair observations · 1.38 pair observations per 100 analyzed battles
55.1%
Mandibuzz
Mandibuzz929 recorded pair observations · 0.62 pair observations per 100 analyzed battles
54.7%
Moltres
Moltres254 recorded pair observations · 0.17 pair observations per 100 analyzed battles
54.7%
Clodsire
Clodsire200 recorded pair observations · 0.13 pair observations per 100 analyzed battles
54.5%
Dragapult
Dragapult763 recorded pair observations · 0.51 pair observations per 100 analyzed battles
54.1%
Iron Crown
Iron Crown781 recorded pair observations · 0.52 pair observations per 100 analyzed battles
54.0%
Iron Treads
Iron Treads2217 recorded pair observations · 1.49 pair observations per 100 analyzed battles
54.0%
Alomomola
Alomomola4447 recorded pair observations · 2.98 pair observations per 100 analyzed battles
53.9%

Lower Win-rate Partners

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

Tinkaton
Tinkaton166 recorded pair observations · 0.11 pair observations per 100 analyzed battles
41.6%
Galvantula
Galvantula180 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.2%
Armarouge
Armarouge148 recorded pair observations · 0.10 pair observations per 100 analyzed battles
42.6%
Araquanid
Araquanid307 recorded pair observations · 0.21 pair observations per 100 analyzed battles
42.7%
Scizor
Scizor330 recorded pair observations · 0.22 pair observations per 100 analyzed battles
44.5%
Ursaluna
Ursaluna180 recorded pair observations · 0.12 pair observations per 100 analyzed battles
45.6%
Sinistcha
Sinistcha281 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.9%
Ceruledge
Ceruledge416 recorded pair observations · 0.28 pair observations per 100 analyzed battles
46.4%
Yanmega
Yanmega206 recorded pair observations · 0.14 pair observations per 100 analyzed battles
46.6%
Dragonite
Dragonite247 recorded pair observations · 0.17 pair observations per 100 analyzed battles
47.0%

Higher Win-rate Opponent Teams

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

Gengar
Gengar180 recorded pair observations · 0.12 pair observations per 100 analyzed battles
58.9%
Greninja-*
Greninja-*220 recorded pair observations · 0.15 pair observations per 100 analyzed battles
58.6%
Skeledirge
Skeledirge197 recorded pair observations · 0.13 pair observations per 100 analyzed battles
58.4%
Tyranitar
Tyranitar342 recorded pair observations · 0.23 pair observations per 100 analyzed battles
57.0%
Blissey
Blissey299 recorded pair observations · 0.20 pair observations per 100 analyzed battles
56.5%
Maushold
Maushold163 recorded pair observations · 0.11 pair observations per 100 analyzed battles
56.4%
Tinkaton
Tinkaton175 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.4%
Garchomp
Garchomp570 recorded pair observations · 0.38 pair observations per 100 analyzed battles
54.9%
Primarina
Primarina572 recorded pair observations · 0.38 pair observations per 100 analyzed battles
54.9%
Dondozo
Dondozo427 recorded pair observations · 0.29 pair observations per 100 analyzed battles
54.8%

Lower Win-rate Opponent Teams

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

Moltres
Moltres444 recorded pair observations · 0.30 pair observations per 100 analyzed battles
43.0%
Kyurem
Kyurem988 recorded pair observations · 0.66 pair observations per 100 analyzed battles
43.1%
Enamorus
Enamorus355 recorded pair observations · 0.24 pair observations per 100 analyzed battles
43.4%
Cresselia
Cresselia302 recorded pair observations · 0.20 pair observations per 100 analyzed battles
45.0%
Raging Bolt
Raging Bolt1163 recorded pair observations · 0.78 pair observations per 100 analyzed battles
45.0%
Ninetales
Ninetales296 recorded pair observations · 0.20 pair observations per 100 analyzed battles
45.3%
Ribombee
Ribombee216 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.4%
Volcanion
Volcanion160 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.6%
Slither Wing
Slither Wing172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
45.9%
Glimmora
Glimmora921 recorded pair observations · 0.62 pair observations per 100 analyzed battles
46.4%