Last Updated: 10/23/2026 11:12 [UTC]

Grapploct

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.37%Usage Rate
48.20%Win Rate
21.29%Lead Rate
52.05%Selection Rate
1232Avg Rating

9034 recorded team appearances · 4354 wins · 4680 losses · 10/09/2026–10/23/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Storm Throw Recorded use in 2993 of 9034 distinct recorded team appearances (33.1%) 1536 winning team uses of 2993 recorded team uses
51.3%
Detect Recorded use in 930 of 9034 distinct recorded team appearances (10.3%) 396 winning team uses of 930 recorded team uses
42.6%
Mach Punch Recorded use in 927 of 9034 distinct recorded team appearances (10.3%) 478 winning team uses of 927 recorded team uses
51.6%
Protect Recorded use in 406 of 9034 distinct recorded team appearances (4.5%) 165 winning team uses of 406 recorded team uses
40.6%
Octolock Recorded use in 351 of 9034 distinct recorded team appearances (3.9%) 141 winning team uses of 351 recorded team uses
40.2%
Payback Recorded use in 276 of 9034 distinct recorded team appearances (3.1%) 139 winning team uses of 276 recorded team uses
50.4%
Sucker Punch Recorded use in 169 of 9034 distinct recorded team appearances (1.9%) 81 winning team uses of 169 recorded team uses
47.9%
Ice Punch Recorded use in 166 of 9034 distinct recorded team appearances (1.8%) 90 winning team uses of 166 recorded team uses
54.2%
Stomping Tantrum Recorded use in 147 of 9034 distinct recorded team appearances (1.6%) 70 winning team uses of 147 recorded team uses
47.6%
Feint Recorded use in 124 of 9034 distinct recorded team appearances (1.4%) 61 winning team uses of 124 recorded team uses
49.2%

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 1.79 48.17 165040 2948 Observed
Period 2: 2026/10/12 20:56–2026/10/16 11:20 UTC 1.46 50.31 165040 2403 Observed
Period 3: 2026/10/16 11:20–2026/10/19 20:15 UTC 1.11 47.21 165040 1828 Observed
Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC 1.12 46.47 165040 1855 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1135 1.82 46.33 131704 2400 Observed
~R1214 1.65 50.05 132234 2186 Observed
~R1307 1.45 48.08 131652 1905 Observed
~R1410 1.23 49.20 132374 1622 Observed
R1410~ 0.70 47.12 132196 921 Observed

Grapploct Observed Statistics

Performance Metrics

Grapploct has a reported usage rate of 1.37% and win rate of 48.20% 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. 4,354 wins and 4,680 losses (9,034 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 1.79% in the first available period (Period 1: 2026/10/09 11:00–2026/10/12 20:56 UTC; n=165,040 team slots) and 1.12% 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 -0.67 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 48.17% in the first available period (Period 1: 2026/10/09 11:00–2026/10/12 20:56 UTC; n=2,948 recorded appearances) and 46.47% in the last available period (Period 4: 2026/10/19 20:16–2026/10/23 10:58 UTC; n=1,855 recorded appearances), a change of -1.70 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 0.70% (R1410~; n=132,196 team slots) to 1.82% (~R1135; n=131,704 team slots), a spread of 1.12 percentage points. Overall usage was 1.37%. 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, Storm Throw has the largest recorded team-use count (2,993; 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: Farigiraf: 51.0% wins in 4,406 recorded pair observations; Indeedee-F: 48.1% wins in 2,451 recorded pair observations; Golisopod: 50.8% wins in 2,021 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: Lucario: 54.8% wins in 323 recorded pair observations; Gengar: 54.5% wins in 464 recorded pair observations; Kommo-o: 51.8% wins in 394 recorded pair observations. Returned lower-win-rate opponent group: Armarouge: 41.2% wins in 425 recorded pair observations; Swampert: 42.3% wins in 378 recorded pair observations; Dragonite: 42.6% wins in 406 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%

Farigiraf
Farigiraf4406 recorded pair observations · 1.33 pair observations per 100 analyzed battles
51.0%
Indeedee-F
Indeedee-F2451 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.1%
Golisopod
Golisopod2021 recorded pair observations · 0.61 pair observations per 100 analyzed battles
50.8%
Pelipper
Pelipper1998 recorded pair observations · 0.61 pair observations per 100 analyzed battles
52.1%
Mawile
Mawile1905 recorded pair observations · 0.58 pair observations per 100 analyzed battles
49.6%
Kangaskhan
Kangaskhan1761 recorded pair observations · 0.53 pair observations per 100 analyzed battles
50.9%
Archaludon
Archaludon1717 recorded pair observations · 0.52 pair observations per 100 analyzed battles
52.8%
Torkoal
Torkoal1492 recorded pair observations · 0.45 pair observations per 100 analyzed battles
49.1%
Incineroar
Incineroar1458 recorded pair observations · 0.44 pair observations per 100 analyzed battles
49.3%
Camerupt
Camerupt1183 recorded pair observations · 0.36 pair observations per 100 analyzed battles
50.2%
Rillaboom
Rillaboom1006 recorded pair observations · 0.30 pair observations per 100 analyzed battles
49.7%
Sinistcha
Sinistcha982 recorded pair observations · 0.30 pair observations per 100 analyzed battles
45.5%
Kingambit
Kingambit859 recorded pair observations · 0.26 pair observations per 100 analyzed battles
46.2%
Garchomp
Garchomp798 recorded pair observations · 0.24 pair observations per 100 analyzed battles
48.8%
Alakazam
Alakazam742 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.1%
Armarouge
Armarouge707 recorded pair observations · 0.21 pair observations per 100 analyzed battles
52.2%
Sylveon
Sylveon677 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.8%
Milotic
Milotic618 recorded pair observations · 0.19 pair observations per 100 analyzed battles
50.5%
Malamar
Malamar547 recorded pair observations · 0.17 pair observations per 100 analyzed battles
38.0%
Hatterene
Hatterene545 recorded pair observations · 0.17 pair observations per 100 analyzed battles
47.9%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2819 recorded pair observations · 0.85 pair observations per 100 analyzed battles
49.1%
Sneasler
Sneasler2664 recorded pair observations · 0.81 pair observations per 100 analyzed battles
47.6%
Incineroar
Incineroar2489 recorded pair observations · 0.75 pair observations per 100 analyzed battles
48.8%
Garchomp
Garchomp2229 recorded pair observations · 0.68 pair observations per 100 analyzed battles
48.5%
Indeedee-F
Indeedee-F1784 recorded pair observations · 0.54 pair observations per 100 analyzed battles
46.6%
Archaludon
Archaludon1577 recorded pair observations · 0.48 pair observations per 100 analyzed battles
44.8%
Raichu
Raichu1565 recorded pair observations · 0.47 pair observations per 100 analyzed battles
48.6%
Kingambit
Kingambit1536 recorded pair observations · 0.47 pair observations per 100 analyzed battles
45.0%
Farigiraf
Farigiraf1488 recorded pair observations · 0.45 pair observations per 100 analyzed battles
46.1%
Charizard
Charizard1431 recorded pair observations · 0.43 pair observations per 100 analyzed battles
45.2%
Pelipper
Pelipper1409 recorded pair observations · 0.43 pair observations per 100 analyzed battles
44.9%
Golisopod
Golisopod1327 recorded pair observations · 0.40 pair observations per 100 analyzed battles
44.2%
Gholdengo
Gholdengo1245 recorded pair observations · 0.38 pair observations per 100 analyzed battles
46.8%
Salamence
Salamence1060 recorded pair observations · 0.32 pair observations per 100 analyzed battles
45.7%
Whimsicott
Whimsicott1049 recorded pair observations · 0.32 pair observations per 100 analyzed battles
50.6%
Basculegion
Basculegion1019 recorded pair observations · 0.31 pair observations per 100 analyzed battles
45.7%
Sinistcha
Sinistcha896 recorded pair observations · 0.27 pair observations per 100 analyzed battles
48.5%
Tyranitar
Tyranitar883 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.6%
Volcarona
Volcarona875 recorded pair observations · 0.27 pair observations per 100 analyzed battles
44.6%
Milotic
Milotic836 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.3%

Higher Win-rate Partners

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

Meganium
Meganium366 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.2%
Archaludon
Archaludon1717 recorded pair observations · 0.52 pair observations per 100 analyzed battles
52.8%
Arcanine-Hisui
Arcanine-Hisui364 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.2%
Armarouge
Armarouge707 recorded pair observations · 0.21 pair observations per 100 analyzed battles
52.2%
Pelipper
Pelipper1998 recorded pair observations · 0.61 pair observations per 100 analyzed battles
52.1%
Farigiraf
Farigiraf4406 recorded pair observations · 1.33 pair observations per 100 analyzed battles
51.0%
Kangaskhan
Kangaskhan1761 recorded pair observations · 0.53 pair observations per 100 analyzed battles
50.9%
Golisopod
Golisopod2021 recorded pair observations · 0.61 pair observations per 100 analyzed battles
50.8%
Politoed
Politoed358 recorded pair observations · 0.11 pair observations per 100 analyzed battles
50.8%
Sylveon
Sylveon677 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.8%

Lower Win-rate Partners

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

Staraptor
Staraptor418 recorded pair observations · 0.13 pair observations per 100 analyzed battles
36.1%
Malamar
Malamar547 recorded pair observations · 0.17 pair observations per 100 analyzed battles
38.0%
Whimsicott
Whimsicott377 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.0%
Slurpuff
Slurpuff412 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.9%
Sinistcha
Sinistcha982 recorded pair observations · 0.30 pair observations per 100 analyzed battles
45.5%
Alakazam
Alakazam742 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.1%
Kingambit
Kingambit859 recorded pair observations · 0.26 pair observations per 100 analyzed battles
46.2%
Hatterene
Hatterene545 recorded pair observations · 0.17 pair observations per 100 analyzed battles
47.9%
Indeedee-F
Indeedee-F2451 recorded pair observations · 0.74 pair observations per 100 analyzed battles
48.1%

Higher Win-rate Opponent Teams

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

Lucario
Lucario323 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.8%
Gengar
Gengar464 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.5%
Kommo-o
Kommo-o394 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.8%
Excadrill
Excadrill617 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.4%
Milotic
Milotic836 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.3%
Whimsicott
Whimsicott1049 recorded pair observations · 0.32 pair observations per 100 analyzed battles
50.6%
Arcanine-Hisui
Arcanine-Hisui466 recorded pair observations · 0.14 pair observations per 100 analyzed battles
49.8%
Staraptor
Staraptor584 recorded pair observations · 0.18 pair observations per 100 analyzed battles
49.7%
Tyranitar
Tyranitar883 recorded pair observations · 0.27 pair observations per 100 analyzed battles
49.6%
Metagross
Metagross419 recorded pair observations · 0.13 pair observations per 100 analyzed battles
49.2%

Lower Win-rate Opponent Teams

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

Armarouge
Armarouge425 recorded pair observations · 0.13 pair observations per 100 analyzed battles
41.2%
Swampert
Swampert378 recorded pair observations · 0.11 pair observations per 100 analyzed battles
42.3%
Dragonite
Dragonite406 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.6%
Gardevoir
Gardevoir611 recorded pair observations · 0.19 pair observations per 100 analyzed battles
43.0%
Primarina
Primarina419 recorded pair observations · 0.13 pair observations per 100 analyzed battles
43.2%
Floette-Eternal
Floette-Eternal589 recorded pair observations · 0.18 pair observations per 100 analyzed battles
43.3%
Sylveon
Sylveon702 recorded pair observations · 0.21 pair observations per 100 analyzed battles
43.6%
Golisopod
Golisopod1327 recorded pair observations · 0.40 pair observations per 100 analyzed battles
44.2%
Volcarona
Volcarona875 recorded pair observations · 0.27 pair observations per 100 analyzed battles
44.6%
Archaludon
Archaludon1577 recorded pair observations · 0.48 pair observations per 100 analyzed battles
44.8%