Last Updated: 10/23/2026 11:06 [UTC]

Lopunny

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.03%Usage Rate
46.95%Win Rate
38.86%Lead Rate
52.11%Selection Rate
1237Avg Rating

6822 recorded team appearances · 3203 wins · 3619 losses · 10/09/2026–10/23/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Fake Out Recorded use in 2147 of 6822 distinct recorded team appearances (31.5%) 1039 winning team uses of 2147 recorded team uses
48.4%
Close Combat Recorded use in 1741 of 6822 distinct recorded team appearances (25.5%) 866 winning team uses of 1741 recorded team uses
49.7%
Triple Axel Recorded use in 661 of 6822 distinct recorded team appearances (9.7%) 315 winning team uses of 661 recorded team uses
47.7%
Protect Recorded use in 568 of 6822 distinct recorded team appearances (8.3%) 250 winning team uses of 568 recorded team uses
44.0%
U-turn Recorded use in 280 of 6822 distinct recorded team appearances (4.1%) 139 winning team uses of 280 recorded team uses
49.6%
Encore Recorded use in 234 of 6822 distinct recorded team appearances (3.4%) 126 winning team uses of 234 recorded team uses
53.8%
Thunder Punch Recorded use in 195 of 6822 distinct recorded team appearances (2.9%) 91 winning team uses of 195 recorded team uses
46.7%
After You Recorded use in 147 of 6822 distinct recorded team appearances (2.2%) 75 winning team uses of 147 recorded team uses
51.0%
Ice Punch Recorded use in 103 of 6822 distinct recorded team appearances (1.5%) 60 winning team uses of 103 recorded team uses
58.3%
Drain Punch Recorded use in 77 of 6822 distinct recorded team appearances (1.1%) 42 winning team uses of 77 recorded team uses
54.5%

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: 2026/10/09 11:00–2026/10/12 20:56 UTC 1.04 46.64 165040 1709 Observed
Period 2: 2026/10/12 20:56–2026/10/16 11:20 UTC 1.06 46.43 165040 1753 Observed
Period 3: 2026/10/16 11:20–2026/10/19 20:15 UTC 1.02 47.05 165040 1679 Observed
Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC 1.02 47.71 165040 1681 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1135 1.22 47.60 131704 1607 Observed
~R1214 1.25 46.55 132234 1650 Observed
~R1307 1.18 46.59 131652 1554 Observed
~R1410 1.00 46.74 132374 1318 Observed
R1410~ 0.52 47.62 132196 693 Observed

Lopunny Observed Statistics

Performance Metrics

Lopunny has a reported usage rate of 1.03% and win rate of 46.95% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/09/2026 to 10/23/2026 (UTC), with 330,080 recorded battles. 3,203 wins and 3,619 losses (6,822 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 1.04% in the first available period (Period 1: 2026/10/09 11:00–2026/10/12 20:56 UTC; n=165,040 team slots) and 1.02% in the last available period (Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC; n=165,040 team slots), a change of -0.02 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 46.64% in the first available period (Period 1: 2026/10/09 11:00–2026/10/12 20:56 UTC; n=1,709 recorded appearances) and 47.71% in the last available period (Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC; n=1,681 recorded appearances), a change of +1.07 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 0.52% (R1410~; n=132,196 team slots) to 1.25% (~R1214; n=132,234 team slots), a spread of 0.73 percentage points. Overall usage was 1.03%. 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, Fake Out has the largest recorded team-use count (2,147; 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: 46.4% wins in 2,296 recorded pair observations; Rillaboom: 50.5% wins in 1,842 recorded pair observations; Gardevoir: 46.4% wins in 1,602 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: 50.3% wins in 344 recorded pair observations; Whimsicott: 49.7% wins in 811 recorded pair observations; Indeedee-F: 48.9% wins in 1,264 recorded pair observations. Returned lower-win-rate opponent group: Metagross: 41.7% wins in 343 recorded pair observations; Golisopod: 42.0% wins in 950 recorded pair observations; Archaludon: 42.1% wins in 1,210 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-F2296 recorded pair observations · 0.70 pair observations per 100 analyzed battles
46.4%
Rillaboom
Rillaboom1842 recorded pair observations · 0.56 pair observations per 100 analyzed battles
50.5%
Gardevoir
Gardevoir1602 recorded pair observations · 0.49 pair observations per 100 analyzed battles
46.4%
Sneasler
Sneasler1423 recorded pair observations · 0.43 pair observations per 100 analyzed battles
45.0%
Incineroar
Incineroar1142 recorded pair observations · 0.35 pair observations per 100 analyzed battles
50.6%
Volcarona
Volcarona1045 recorded pair observations · 0.32 pair observations per 100 analyzed battles
47.5%
Ceruledge
Ceruledge1021 recorded pair observations · 0.31 pair observations per 100 analyzed battles
46.4%
Dragonite
Dragonite980 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.0%
Gholdengo
Gholdengo943 recorded pair observations · 0.29 pair observations per 100 analyzed battles
50.4%
Primarina
Primarina812 recorded pair observations · 0.25 pair observations per 100 analyzed battles
48.4%
Garchomp
Garchomp766 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.1%
Farigiraf
Farigiraf720 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.6%
Milotic
Milotic648 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.2%
Kingambit
Kingambit622 recorded pair observations · 0.19 pair observations per 100 analyzed battles
47.9%
Armarouge
Armarouge599 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.8%
Torkoal
Torkoal573 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.7%
Pelipper
Pelipper549 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.1%
Meowscarada
Meowscarada518 recorded pair observations · 0.16 pair observations per 100 analyzed battles
46.3%
Basculegion
Basculegion454 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.2%
Raichu
Raichu451 recorded pair observations · 0.14 pair observations per 100 analyzed battles
53.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2140 recorded pair observations · 0.65 pair observations per 100 analyzed battles
47.0%
Sneasler
Sneasler1999 recorded pair observations · 0.61 pair observations per 100 analyzed battles
45.5%
Incineroar
Incineroar1816 recorded pair observations · 0.55 pair observations per 100 analyzed battles
45.4%
Garchomp
Garchomp1660 recorded pair observations · 0.50 pair observations per 100 analyzed battles
46.7%
Indeedee-F
Indeedee-F1264 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.9%
Archaludon
Archaludon1210 recorded pair observations · 0.37 pair observations per 100 analyzed battles
42.1%
Raichu
Raichu1207 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.2%
Farigiraf
Farigiraf1150 recorded pair observations · 0.35 pair observations per 100 analyzed battles
44.3%
Kingambit
Kingambit1128 recorded pair observations · 0.34 pair observations per 100 analyzed battles
47.7%
Charizard
Charizard1068 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.1%
Pelipper
Pelipper1053 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.2%
Golisopod
Golisopod950 recorded pair observations · 0.29 pair observations per 100 analyzed battles
42.0%
Gholdengo
Gholdengo907 recorded pair observations · 0.27 pair observations per 100 analyzed battles
46.4%
Salamence
Salamence813 recorded pair observations · 0.25 pair observations per 100 analyzed battles
45.9%
Whimsicott
Whimsicott811 recorded pair observations · 0.25 pair observations per 100 analyzed battles
49.7%
Basculegion
Basculegion767 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.7%
Tyranitar
Tyranitar691 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.8%
Sinistcha
Sinistcha664 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.7%
Milotic
Milotic656 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.0%
Volcarona
Volcarona653 recorded pair observations · 0.20 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%

Basculegion
Basculegion454 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.2%
Raichu
Raichu451 recorded pair observations · 0.14 pair observations per 100 analyzed battles
53.9%
Archaludon
Archaludon447 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.0%
Incineroar
Incineroar1142 recorded pair observations · 0.35 pair observations per 100 analyzed battles
50.6%
Rillaboom
Rillaboom1842 recorded pair observations · 0.56 pair observations per 100 analyzed battles
50.5%
Gholdengo
Gholdengo943 recorded pair observations · 0.29 pair observations per 100 analyzed battles
50.4%
Pelipper
Pelipper549 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.1%
Armarouge
Armarouge599 recorded pair observations · 0.18 pair observations per 100 analyzed battles
48.8%
Primarina
Primarina812 recorded pair observations · 0.25 pair observations per 100 analyzed battles
48.4%
Dragonite
Dragonite980 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.0%

Lower Win-rate Partners

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

Whimsicott
Whimsicott433 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.9%
Ninetales-Alola
Ninetales-Alola334 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.3%
Indeedee
Indeedee356 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.4%
Torkoal
Torkoal573 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.7%
Sneasler
Sneasler1423 recorded pair observations · 0.43 pair observations per 100 analyzed battles
45.0%
Sinistcha
Sinistcha382 recorded pair observations · 0.12 pair observations per 100 analyzed battles
45.3%
Tyranitar
Tyranitar399 recorded pair observations · 0.12 pair observations per 100 analyzed battles
45.4%
Farigiraf
Farigiraf720 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.6%
Zoroark-Hisui
Zoroark-Hisui351 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.6%
Meowscarada
Meowscarada518 recorded pair observations · 0.16 pair observations per 100 analyzed battles
46.3%

Higher Win-rate Opponent Teams

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

Gengar
Gengar344 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.3%
Whimsicott
Whimsicott811 recorded pair observations · 0.25 pair observations per 100 analyzed battles
49.7%
Indeedee-F
Indeedee-F1264 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.9%
Excadrill
Excadrill503 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.5%
Torkoal
Torkoal372 recorded pair observations · 0.11 pair observations per 100 analyzed battles
48.4%
Tyranitar
Tyranitar691 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.8%
Basculegion
Basculegion767 recorded pair observations · 0.23 pair observations per 100 analyzed battles
47.7%
Kingambit
Kingambit1128 recorded pair observations · 0.34 pair observations per 100 analyzed battles
47.7%
Sinistcha
Sinistcha664 recorded pair observations · 0.20 pair observations per 100 analyzed battles
47.7%
Indeedee
Indeedee475 recorded pair observations · 0.14 pair observations per 100 analyzed battles
47.2%

Lower Win-rate Opponent Teams

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

Metagross
Metagross343 recorded pair observations · 0.10 pair observations per 100 analyzed battles
41.7%
Golisopod
Golisopod950 recorded pair observations · 0.29 pair observations per 100 analyzed battles
42.0%
Archaludon
Archaludon1210 recorded pair observations · 0.37 pair observations per 100 analyzed battles
42.1%
Charizard
Charizard1068 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.1%
Pelipper
Pelipper1053 recorded pair observations · 0.32 pair observations per 100 analyzed battles
43.2%
Gardevoir
Gardevoir402 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.3%
Arcanine-Hisui
Arcanine-Hisui362 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.6%
Venusaur
Venusaur434 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.8%
Sylveon
Sylveon581 recorded pair observations · 0.18 pair observations per 100 analyzed battles
44.1%
Farigiraf
Farigiraf1150 recorded pair observations · 0.35 pair observations per 100 analyzed battles
44.3%