Last Updated: 10/18/2026 11:06 [UTC]

Kleavor

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.00%Usage Rate
47.78%Win Rate
57.07%Lead Rate
71.95%Selection Rate
1242Avg Rating

6662 recorded team appearances · 3183 wins · 3479 losses · 10/04/2026–10/18/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Stone Axe Recorded use in 2722 of 6663 distinct recorded team appearances (40.9%) 1400 winning team uses of 2722 recorded team uses
51.4%
X-Scissor Recorded use in 1604 of 6663 distinct recorded team appearances (24.1%) 883 winning team uses of 1604 recorded team uses
55.0%
Protect Recorded use in 653 of 6663 distinct recorded team appearances (9.8%) 311 winning team uses of 653 recorded team uses
47.6%
Tailwind Recorded use in 540 of 6663 distinct recorded team appearances (8.1%) 302 winning team uses of 540 recorded team uses
55.9%
U-turn Recorded use in 255 of 6663 distinct recorded team appearances (3.8%) 138 winning team uses of 255 recorded team uses
54.1%
Close Combat Recorded use in 237 of 6663 distinct recorded team appearances (3.6%) 119 winning team uses of 237 recorded team uses
50.2%
Night Slash Recorded use in 203 of 6663 distinct recorded team appearances (3.0%) 88 winning team uses of 203 recorded team uses
43.3%
Rock Slide Recorded use in 178 of 6663 distinct recorded team appearances (2.7%) 100 winning team uses of 178 recorded team uses
56.2%
Feint Recorded use in 167 of 6663 distinct recorded team appearances (2.5%) 85 winning team uses of 167 recorded team uses
50.9%
Lunge Recorded use in 47 of 6663 distinct recorded team appearances (0.7%) 23 winning team uses of 47 recorded team uses
48.9%

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: 2026/10/04 11:00–2026/10/07 22:07 UTC 0.99 47.46 166324 1654 Observed
Period 2: 2026/10/07 22:07–2026/10/11 10:25 UTC 1.10 48.91 166324 1828 Observed
Period 3: 2026/10/11 10:25–2026/10/14 23:15 UTC 0.99 46.59 166322 1640 Observed
Period 4: 2026/10/14 23:15–2026/10/18 10:58 UTC 0.93 48.05 166322 1540 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1132 1.14 49.09 130886 1489 Observed
~R1210 1.10 47.66 134382 1475 Observed
~R1301 1.12 47.32 133282 1492 Observed
~R1398 1.09 46.92 132254 1445 Observed
R1398~ 0.57 47.96 134488 761 Observed

Kleavor Observed Statistics

Performance Metrics

Kleavor has a reported usage rate of 1.00% and win rate of 47.78% in VGC 2026 Regulation M-C (Pokemon Champions) (displayed tier: E). The report covers 10/04/2026 to 10/18/2026 (UTC), with 332,646 recorded battles. 3,183 wins and 3,479 losses (6,662 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 0.99% in the first available period (Period 1: 2026/10/04 11:00–2026/10/07 22:07 UTC; n=166,324 team slots) and 0.93% in the last available period (Period 4: 2026/10/14 23:15–2026/10/18 10:58 UTC; n=166,322 team slots), a change of -0.06 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. Win rate was 47.46% in the first available period (Period 1: 2026/10/04 11:00–2026/10/07 22:07 UTC; n=1,654 recorded appearances) and 48.05% in the last available period (Period 4: 2026/10/14 23:15–2026/10/18 10:58 UTC; n=1,540 recorded appearances), a change of +0.59 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 0.57% (R1398~; n=134,488 team slots) to 1.14% (~R1132; n=130,886 team slots), a spread of 0.57 percentage points. Overall usage was 1.00%. 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, Stone Axe has the largest recorded team-use count (2,722; 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: Rillaboom: 48.9% wins in 1,277 recorded pair observations; Whimsicott: 49.1% wins in 1,207 recorded pair observations; Indeedee-F: 48.7% wins in 1,095 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: Volcarona: 51.4% wins in 729 recorded pair observations; Metagross: 51.0% wins in 357 recorded pair observations; Torkoal: 50.8% wins in 390 recorded pair observations. Returned lower-win-rate opponent group: Excadrill: 43.2% wins in 511 recorded pair observations; Salamence: 43.7% wins in 939 recorded pair observations; Tyranitar: 43.9% wins in 679 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%

Rillaboom
Rillaboom1277 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.9%
Whimsicott
Whimsicott1207 recorded pair observations · 0.36 pair observations per 100 analyzed battles
49.1%
Indeedee-F
Indeedee-F1095 recorded pair observations · 0.33 pair observations per 100 analyzed battles
48.7%
Salamence
Salamence978 recorded pair observations · 0.29 pair observations per 100 analyzed battles
52.2%
Gholdengo
Gholdengo974 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.2%
Farigiraf
Farigiraf918 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.2%
Volcarona
Volcarona897 recorded pair observations · 0.27 pair observations per 100 analyzed battles
42.7%
Sneasler
Sneasler843 recorded pair observations · 0.25 pair observations per 100 analyzed battles
48.0%
Incineroar
Incineroar828 recorded pair observations · 0.25 pair observations per 100 analyzed battles
48.9%
Raichu
Raichu704 recorded pair observations · 0.21 pair observations per 100 analyzed battles
48.3%
Golisopod
Golisopod677 recorded pair observations · 0.20 pair observations per 100 analyzed battles
45.4%
Milotic
Milotic666 recorded pair observations · 0.20 pair observations per 100 analyzed battles
50.9%
Kingambit
Kingambit622 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.9%
Garchomp
Garchomp588 recorded pair observations · 0.18 pair observations per 100 analyzed battles
51.4%
Indeedee
Indeedee582 recorded pair observations · 0.17 pair observations per 100 analyzed battles
51.2%
Araquanid
Araquanid576 recorded pair observations · 0.17 pair observations per 100 analyzed battles
42.5%
Primarina
Primarina506 recorded pair observations · 0.15 pair observations per 100 analyzed battles
52.8%
Pelipper
Pelipper490 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.0%
Staraptor
Staraptor481 recorded pair observations · 0.14 pair observations per 100 analyzed battles
49.9%
Metagross
Metagross464 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom2300 recorded pair observations · 0.69 pair observations per 100 analyzed battles
47.5%
Sneasler
Sneasler2046 recorded pair observations · 0.62 pair observations per 100 analyzed battles
44.8%
Incineroar
Incineroar1903 recorded pair observations · 0.57 pair observations per 100 analyzed battles
47.4%
Garchomp
Garchomp1660 recorded pair observations · 0.50 pair observations per 100 analyzed battles
47.5%
Indeedee-F
Indeedee-F1253 recorded pair observations · 0.38 pair observations per 100 analyzed battles
46.5%
Kingambit
Kingambit1181 recorded pair observations · 0.36 pair observations per 100 analyzed battles
44.2%
Raichu
Raichu1130 recorded pair observations · 0.34 pair observations per 100 analyzed battles
46.7%
Farigiraf
Farigiraf1095 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.8%
Archaludon
Archaludon1048 recorded pair observations · 0.32 pair observations per 100 analyzed battles
44.9%
Charizard
Charizard1029 recorded pair observations · 0.31 pair observations per 100 analyzed battles
46.9%
Gholdengo
Gholdengo984 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.3%
Salamence
Salamence939 recorded pair observations · 0.28 pair observations per 100 analyzed battles
43.7%
Golisopod
Golisopod907 recorded pair observations · 0.27 pair observations per 100 analyzed battles
47.1%
Pelipper
Pelipper893 recorded pair observations · 0.27 pair observations per 100 analyzed battles
47.5%
Basculegion
Basculegion793 recorded pair observations · 0.24 pair observations per 100 analyzed battles
46.4%
Whimsicott
Whimsicott752 recorded pair observations · 0.23 pair observations per 100 analyzed battles
46.8%
Volcarona
Volcarona729 recorded pair observations · 0.22 pair observations per 100 analyzed battles
51.4%
Tyranitar
Tyranitar679 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.9%
Milotic
Milotic659 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.6%
Indeedee
Indeedee578 recorded pair observations · 0.17 pair observations per 100 analyzed battles
46.9%

Higher Win-rate Partners

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

Cinderace
Cinderace335 recorded pair observations · 0.10 pair observations per 100 analyzed battles
53.1%
Primarina
Primarina506 recorded pair observations · 0.15 pair observations per 100 analyzed battles
52.8%
Torkoal
Torkoal366 recorded pair observations · 0.11 pair observations per 100 analyzed battles
52.7%
Salamence
Salamence978 recorded pair observations · 0.29 pair observations per 100 analyzed battles
52.2%
Kommo-o
Kommo-o319 recorded pair observations · 0.10 pair observations per 100 analyzed battles
52.0%
Kingambit
Kingambit622 recorded pair observations · 0.19 pair observations per 100 analyzed battles
51.9%
Garchomp
Garchomp588 recorded pair observations · 0.18 pair observations per 100 analyzed battles
51.4%
Farigiraf
Farigiraf918 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.2%
Indeedee
Indeedee582 recorded pair observations · 0.17 pair observations per 100 analyzed battles
51.2%
Milotic
Milotic666 recorded pair observations · 0.20 pair observations per 100 analyzed battles
50.9%

Lower Win-rate Partners

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

Araquanid
Araquanid576 recorded pair observations · 0.17 pair observations per 100 analyzed battles
42.5%
Volcarona
Volcarona897 recorded pair observations · 0.27 pair observations per 100 analyzed battles
42.7%
Metagross
Metagross464 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.0%
Tyranitar
Tyranitar362 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.8%
Gardevoir
Gardevoir447 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.0%
Golisopod
Golisopod677 recorded pair observations · 0.20 pair observations per 100 analyzed battles
45.4%
Froslass
Froslass318 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.9%
Sableye
Sableye364 recorded pair observations · 0.11 pair observations per 100 analyzed battles
47.5%

Higher Win-rate Opponent Teams

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

Volcarona
Volcarona729 recorded pair observations · 0.22 pair observations per 100 analyzed battles
51.4%
Metagross
Metagross357 recorded pair observations · 0.11 pair observations per 100 analyzed battles
51.0%
Torkoal
Torkoal390 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.8%
Farigiraf
Farigiraf1095 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.8%
Milotic
Milotic659 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.6%
Gholdengo
Gholdengo984 recorded pair observations · 0.30 pair observations per 100 analyzed battles
48.3%

Lower Win-rate Opponent Teams

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

Excadrill
Excadrill511 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.2%
Salamence
Salamence939 recorded pair observations · 0.28 pair observations per 100 analyzed battles
43.7%
Tyranitar
Tyranitar679 recorded pair observations · 0.20 pair observations per 100 analyzed battles
43.9%
Kingambit
Kingambit1181 recorded pair observations · 0.36 pair observations per 100 analyzed battles
44.2%
Arcanine-Hisui
Arcanine-Hisui422 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.5%
Sneasler
Sneasler2046 recorded pair observations · 0.62 pair observations per 100 analyzed battles
44.8%
Archaludon
Archaludon1048 recorded pair observations · 0.32 pair observations per 100 analyzed battles
44.9%
Gardevoir
Gardevoir433 recorded pair observations · 0.13 pair observations per 100 analyzed battles
45.0%
Sylveon
Sylveon520 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.4%
Politoed
Politoed517 recorded pair observations · 0.16 pair observations per 100 analyzed battles
45.5%