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

Ceruledge

Tier E

VGC 2026 Regulation M-C (Pokemon Champions)

1.69%Usage Rate
48.30%Win Rate
21.27%Lead Rate
57.68%Selection Rate
1241Avg Rating

10866 recorded team appearances · 5248 wins · 5618 losses · 10/12/2026–10/26/2026 (UTC)

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Bitter Blade Recorded use in 3537 of 10866 distinct recorded team appearances (32.6%) 1916 winning team uses of 3537 recorded team uses
54.2%
Protect Recorded use in 1787 of 10866 distinct recorded team appearances (16.4%) 815 winning team uses of 1787 recorded team uses
45.6%
Shadow Sneak Recorded use in 1703 of 10866 distinct recorded team appearances (15.7%) 866 winning team uses of 1703 recorded team uses
50.9%
Swords Dance Recorded use in 1300 of 10866 distinct recorded team appearances (12.0%) 645 winning team uses of 1300 recorded team uses
49.6%
Bulk Up Recorded use in 1058 of 10866 distinct recorded team appearances (9.7%) 482 winning team uses of 1058 recorded team uses
45.6%
Poltergeist Recorded use in 959 of 10866 distinct recorded team appearances (8.8%) 494 winning team uses of 959 recorded team uses
51.5%
Close Combat Recorded use in 183 of 10866 distinct recorded team appearances (1.7%) 87 winning team uses of 183 recorded team uses
47.5%
Shadow Claw Recorded use in 148 of 10866 distinct recorded team appearances (1.4%) 82 winning team uses of 148 recorded team uses
55.4%
Ally Switch Recorded use in 87 of 10866 distinct recorded team appearances (0.8%) 33 winning team uses of 87 recorded team uses
37.9%
Phantom Force Recorded use in 78 of 10866 distinct recorded team appearances (0.7%) 41 winning team uses of 78 recorded team uses
52.6%

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: 2026/10/12 11:01–2026/10/16 00:34 UTC 1.51 47.41 160968 2432 Observed
Period 2: 2026/10/16 00:34–2026/10/19 06:47 UTC 1.73 48.58 160966 2777 Observed
Period 3: 2026/10/19 06:47–2026/10/22 18:25 UTC 1.66 49.76 160966 2665 Observed
Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC 1.86 47.46 160966 2992 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1129 1.99 48.30 128104 2553 Observed
~R1208 1.99 49.20 129182 2577 Observed
~R1302 1.81 47.71 126962 2293 Observed
~R1405 1.59 47.35 130626 2074 Observed
R1405~ 1.06 49.01 128992 1369 Observed

Ceruledge Observed Statistics

Performance Metrics

Ceruledge has a reported usage rate of 1.69% and win rate of 48.30% 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. 5,248 wins and 5,618 losses (10,866 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 1.51% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=160,968 team slots) and 1.86% 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 +0.35 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 47.41% in the first available period (Period 1: 2026/10/12 11:01–2026/10/16 00:34 UTC; n=2,432 recorded appearances) and 47.46% in the last available period (Period 4: 2026/10/22 18:25–2026/10/26 10:58 UTC; n=2,992 recorded appearances), a change of +0.05 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 1.06% (R1405~; n=128,992 team slots) to 1.99% (~R1129; n=128,104 team slots), a spread of 0.93 percentage points. Overall usage was 1.69%. 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, Bitter Blade has the largest recorded team-use count (3,537; 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: 50.9% wins in 4,262 recorded pair observations; Sneasler: 48.1% wins in 3,109 recorded pair observations; Raichu: 52.1% wins in 2,957 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: Corviknight: 56.0% wins in 323 recorded pair observations; Delphox: 54.8% wins in 376 recorded pair observations; Whimsicott: 52.2% wins in 1,360 recorded pair observations. Returned lower-win-rate opponent group: Basculegion-F: 36.5% wins in 498 recorded pair observations; Arcanine-Hisui: 41.7% wins in 511 recorded pair observations; Golisopod: 43.1% wins in 1,537 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
Rillaboom4262 recorded pair observations · 1.32 pair observations per 100 analyzed battles
50.9%
Sneasler
Sneasler3109 recorded pair observations · 0.97 pair observations per 100 analyzed battles
48.1%
Raichu
Raichu2957 recorded pair observations · 0.92 pair observations per 100 analyzed battles
52.1%
Milotic
Milotic2272 recorded pair observations · 0.71 pair observations per 100 analyzed battles
51.6%
Indeedee-F
Indeedee-F1893 recorded pair observations · 0.59 pair observations per 100 analyzed battles
46.8%
Garchomp
Garchomp1631 recorded pair observations · 0.51 pair observations per 100 analyzed battles
48.6%
Staraptor
Staraptor1565 recorded pair observations · 0.49 pair observations per 100 analyzed battles
52.4%
Whimsicott
Whimsicott1548 recorded pair observations · 0.48 pair observations per 100 analyzed battles
46.3%
Gardevoir
Gardevoir1508 recorded pair observations · 0.47 pair observations per 100 analyzed battles
47.5%
Gholdengo
Gholdengo1444 recorded pair observations · 0.45 pair observations per 100 analyzed battles
50.5%
Farigiraf
Farigiraf1360 recorded pair observations · 0.42 pair observations per 100 analyzed battles
46.3%
Kingambit
Kingambit1275 recorded pair observations · 0.40 pair observations per 100 analyzed battles
51.6%
Ninetales-Alola
Ninetales-Alola1205 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.3%
Dragonite
Dragonite1166 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.3%
Salamence
Salamence1087 recorded pair observations · 0.34 pair observations per 100 analyzed battles
49.8%
Sinistcha
Sinistcha991 recorded pair observations · 0.31 pair observations per 100 analyzed battles
47.3%
Lopunny
Lopunny978 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.8%
Baxcalibur
Baxcalibur877 recorded pair observations · 0.27 pair observations per 100 analyzed battles
45.6%
Floette-Eternal
Floette-Eternal718 recorded pair observations · 0.22 pair observations per 100 analyzed battles
51.2%
Lucario
Lucario669 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Rillaboom
Rillaboom3285 recorded pair observations · 1.02 pair observations per 100 analyzed battles
49.0%
Sneasler
Sneasler3284 recorded pair observations · 1.02 pair observations per 100 analyzed battles
48.1%
Incineroar
Incineroar2849 recorded pair observations · 0.88 pair observations per 100 analyzed battles
48.4%
Garchomp
Garchomp2667 recorded pair observations · 0.83 pair observations per 100 analyzed battles
47.2%
Indeedee-F
Indeedee-F2022 recorded pair observations · 0.63 pair observations per 100 analyzed battles
47.9%
Archaludon
Archaludon1978 recorded pair observations · 0.61 pair observations per 100 analyzed battles
43.2%
Raichu
Raichu1976 recorded pair observations · 0.61 pair observations per 100 analyzed battles
46.3%
Farigiraf
Farigiraf1870 recorded pair observations · 0.58 pair observations per 100 analyzed battles
47.3%
Kingambit
Kingambit1821 recorded pair observations · 0.57 pair observations per 100 analyzed battles
45.4%
Pelipper
Pelipper1787 recorded pair observations · 0.56 pair observations per 100 analyzed battles
44.8%
Charizard
Charizard1774 recorded pair observations · 0.55 pair observations per 100 analyzed battles
47.0%
Golisopod
Golisopod1537 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.1%
Gholdengo
Gholdengo1387 recorded pair observations · 0.43 pair observations per 100 analyzed battles
50.0%
Whimsicott
Whimsicott1360 recorded pair observations · 0.42 pair observations per 100 analyzed battles
52.2%
Basculegion
Basculegion1282 recorded pair observations · 0.40 pair observations per 100 analyzed battles
47.7%
Salamence
Salamence1169 recorded pair observations · 0.36 pair observations per 100 analyzed battles
49.2%
Tyranitar
Tyranitar1080 recorded pair observations · 0.34 pair observations per 100 analyzed battles
49.6%
Sinistcha
Sinistcha1074 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.2%
Milotic
Milotic939 recorded pair observations · 0.29 pair observations per 100 analyzed battles
48.8%
Volcarona
Volcarona912 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.2%

Higher Win-rate Partners

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

Tyranitar
Tyranitar564 recorded pair observations · 0.18 pair observations per 100 analyzed battles
55.7%
Excadrill
Excadrill344 recorded pair observations · 0.11 pair observations per 100 analyzed battles
54.1%
Staraptor
Staraptor1565 recorded pair observations · 0.49 pair observations per 100 analyzed battles
52.4%
Raichu
Raichu2957 recorded pair observations · 0.92 pair observations per 100 analyzed battles
52.1%
Kingambit
Kingambit1275 recorded pair observations · 0.40 pair observations per 100 analyzed battles
51.6%
Milotic
Milotic2272 recorded pair observations · 0.71 pair observations per 100 analyzed battles
51.6%
Floette-Eternal
Floette-Eternal718 recorded pair observations · 0.22 pair observations per 100 analyzed battles
51.2%
Rillaboom
Rillaboom4262 recorded pair observations · 1.32 pair observations per 100 analyzed battles
50.9%
Basculegion
Basculegion362 recorded pair observations · 0.11 pair observations per 100 analyzed battles
50.8%
Charizard
Charizard465 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.5%

Lower Win-rate Partners

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

Rotom-Wash
Rotom-Wash316 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.9%
Gallade
Gallade366 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.4%
Lucario
Lucario669 recorded pair observations · 0.21 pair observations per 100 analyzed battles
45.4%
Baxcalibur
Baxcalibur877 recorded pair observations · 0.27 pair observations per 100 analyzed battles
45.6%
Corviknight
Corviknight354 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.8%
Dragonite
Dragonite1166 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.3%
Farigiraf
Farigiraf1360 recorded pair observations · 0.42 pair observations per 100 analyzed battles
46.3%
Whimsicott
Whimsicott1548 recorded pair observations · 0.48 pair observations per 100 analyzed battles
46.3%
Indeedee-F
Indeedee-F1893 recorded pair observations · 0.59 pair observations per 100 analyzed battles
46.8%
Lopunny
Lopunny978 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.8%

Higher Win-rate Opponent Teams

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

Corviknight
Corviknight323 recorded pair observations · 0.10 pair observations per 100 analyzed battles
56.0%
Delphox
Delphox376 recorded pair observations · 0.12 pair observations per 100 analyzed battles
54.8%
Whimsicott
Whimsicott1360 recorded pair observations · 0.42 pair observations per 100 analyzed battles
52.2%
Volcarona
Volcarona912 recorded pair observations · 0.28 pair observations per 100 analyzed battles
51.2%
Lucario
Lucario335 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.5%
Gholdengo
Gholdengo1387 recorded pair observations · 0.43 pair observations per 100 analyzed battles
50.0%
Indeedee
Indeedee712 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.7%
Tyranitar
Tyranitar1080 recorded pair observations · 0.34 pair observations per 100 analyzed battles
49.6%
Grimmsnarl
Grimmsnarl729 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.4%
Salamence
Salamence1169 recorded pair observations · 0.36 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%

Basculegion-F
Basculegion-F498 recorded pair observations · 0.15 pair observations per 100 analyzed battles
36.5%
Arcanine-Hisui
Arcanine-Hisui511 recorded pair observations · 0.16 pair observations per 100 analyzed battles
41.7%
Golisopod
Golisopod1537 recorded pair observations · 0.48 pair observations per 100 analyzed battles
43.1%
Archaludon
Archaludon1978 recorded pair observations · 0.61 pair observations per 100 analyzed battles
43.2%
Armarouge
Armarouge496 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.4%
Metagross
Metagross512 recorded pair observations · 0.16 pair observations per 100 analyzed battles
43.5%
Camerupt
Camerupt314 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.0%
Venusaur
Venusaur749 recorded pair observations · 0.23 pair observations per 100 analyzed battles
44.2%
Pelipper
Pelipper1787 recorded pair observations · 0.56 pair observations per 100 analyzed battles
44.8%
Kingambit
Kingambit1821 recorded pair observations · 0.57 pair observations per 100 analyzed battles
45.4%