Last Updated: 10/10/2026 14:09 [UTC]

Ceruledge

Tier D

OU (Over Used)

8.51%Usage Rate
49.69%Win Rate
8.51%Lead Rate
1226Avg Rating

25400 recorded team appearances · 12621 wins · 12779 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Bitter Blade Recorded use in 8350 of 25400 distinct recorded team appearances (32.9%) 4492 winning team uses of 8350 recorded team uses
53.8%
Swords Dance Recorded use in 6683 of 25400 distinct recorded team appearances (26.3%) 3320 winning team uses of 6683 recorded team uses
49.7%
Shadow Sneak Recorded use in 5143 of 25400 distinct recorded team appearances (20.2%) 2649 winning team uses of 5143 recorded team uses
51.5%
Poltergeist Recorded use in 4270 of 25400 distinct recorded team appearances (16.8%) 2278 winning team uses of 4270 recorded team uses
53.3%
Close Combat Recorded use in 1448 of 25400 distinct recorded team appearances (5.7%) 766 winning team uses of 1448 recorded team uses
52.9%
Bulk Up Recorded use in 692 of 25400 distinct recorded team appearances (2.7%) 288 winning team uses of 692 recorded team uses
41.6%
Shadow Claw Recorded use in 428 of 25400 distinct recorded team appearances (1.7%) 203 winning team uses of 428 recorded team uses
47.4%
Destiny Bond Recorded use in 408 of 25400 distinct recorded team appearances (1.6%) 188 winning team uses of 408 recorded team uses
46.1%
Endure Recorded use in 262 of 25400 distinct recorded team appearances (1.0%) 124 winning team uses of 262 recorded team uses
47.3%
Solar Blade Recorded use in 215 of 25400 distinct recorded team appearances (0.8%) 109 winning team uses of 215 recorded team uses
50.7%

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 8.46 48.73 74642 6314 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 8.22 49.07 74642 6138 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 8.73 50.93 74640 6517 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 8.62 49.96 74640 6431 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 10.30 48.88 60200 6199 Observed
~R1156 9.15 48.87 59416 5435 Observed
~R1268 8.35 50.40 59484 4968 Observed
~R1398 6.98 50.08 59960 4185 Observed
R1398~ 7.75 50.62 59504 4613 Observed

Ceruledge Observed Statistics

Performance Metrics

Ceruledge has a reported usage rate of 8.51% and win rate of 49.69% in OU (Over Used) (displayed tier: D). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 12,621 wins and 12,779 losses (25,400 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 8.46% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 8.62% 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 +0.16 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 48.73% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=6,314 recorded appearances) and 49.96% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=6,431 recorded appearances), a change of +1.23 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 6.98% (~R1398; n=59,960 team slots) to 10.30% (~R1084; n=60,200 team slots), a spread of 3.32 percentage points. Overall usage was 8.51%. 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 (8,350; 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: Great Tusk: 52.0% wins in 8,818 recorded pair observations; Walking Wake: 51.3% wins in 5,009 recorded pair observations; Kingambit: 50.1% wins in 4,301 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: Incineroar: 57.7% wins in 291 recorded pair observations; Blastoise: 56.6% wins in 256 recorded pair observations; Umbreon: 56.3% wins in 268 recorded pair observations. Returned lower-win-rate opponent group: Manaphy: 41.4% wins in 297 recorded pair observations; Moltres-Galar: 43.3% wins in 282 recorded pair observations; Indeedee: 43.5% wins in 329 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%

Great Tusk
Great Tusk8818 recorded pair observations · 5.91 pair observations per 100 analyzed battles
52.0%
Walking Wake
Walking Wake5009 recorded pair observations · 3.36 pair observations per 100 analyzed battles
51.3%
Kingambit
Kingambit4301 recorded pair observations · 2.88 pair observations per 100 analyzed battles
50.1%
Hatterene
Hatterene4213 recorded pair observations · 2.82 pair observations per 100 analyzed battles
51.3%
Glimmora
Glimmora4014 recorded pair observations · 2.69 pair observations per 100 analyzed battles
52.6%
Iron Valiant
Iron Valiant3928 recorded pair observations · 2.63 pair observations per 100 analyzed battles
50.7%
Raging Bolt
Raging Bolt3509 recorded pair observations · 2.35 pair observations per 100 analyzed battles
52.9%
Gholdengo
Gholdengo3387 recorded pair observations · 2.27 pair observations per 100 analyzed battles
51.0%
Ogerpon-Wellspring
Ogerpon-Wellspring3311 recorded pair observations · 2.22 pair observations per 100 analyzed battles
52.6%
Zamazenta-*
Zamazenta-*3220 recorded pair observations · 2.16 pair observations per 100 analyzed battles
56.1%
Ninetales
Ninetales3085 recorded pair observations · 2.07 pair observations per 100 analyzed battles
51.3%
Corviknight
Corviknight2780 recorded pair observations · 1.86 pair observations per 100 analyzed battles
48.6%
Dragonite
Dragonite2510 recorded pair observations · 1.68 pair observations per 100 analyzed battles
49.8%
Deoxys-Speed
Deoxys-Speed2391 recorded pair observations · 1.60 pair observations per 100 analyzed battles
49.8%
Darkrai
Darkrai2237 recorded pair observations · 1.50 pair observations per 100 analyzed battles
52.7%
Gliscor
Gliscor2213 recorded pair observations · 1.48 pair observations per 100 analyzed battles
46.9%
Dragapult
Dragapult2141 recorded pair observations · 1.43 pair observations per 100 analyzed battles
45.5%
Torkoal
Torkoal1944 recorded pair observations · 1.30 pair observations per 100 analyzed battles
51.0%
Kyurem
Kyurem1921 recorded pair observations · 1.29 pair observations per 100 analyzed battles
52.8%
Venusaur
Venusaur1916 recorded pair observations · 1.28 pair observations per 100 analyzed battles
51.1%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk6625 recorded pair observations · 4.44 pair observations per 100 analyzed battles
47.2%
Gholdengo
Gholdengo5228 recorded pair observations · 3.50 pair observations per 100 analyzed battles
47.5%
Kingambit
Kingambit5014 recorded pair observations · 3.36 pair observations per 100 analyzed battles
46.9%
Dragonite
Dragonite3729 recorded pair observations · 2.50 pair observations per 100 analyzed battles
47.4%
Gliscor
Gliscor3565 recorded pair observations · 2.39 pair observations per 100 analyzed battles
49.7%
Dragapult
Dragapult3400 recorded pair observations · 2.28 pair observations per 100 analyzed battles
48.1%
Ogerpon-Wellspring
Ogerpon-Wellspring3375 recorded pair observations · 2.26 pair observations per 100 analyzed battles
49.3%
Iron Valiant
Iron Valiant3345 recorded pair observations · 2.24 pair observations per 100 analyzed battles
47.6%
Zamazenta-*
Zamazenta-*3324 recorded pair observations · 2.23 pair observations per 100 analyzed battles
44.9%
Corviknight
Corviknight3239 recorded pair observations · 2.17 pair observations per 100 analyzed battles
49.5%
Raging Bolt
Raging Bolt2865 recorded pair observations · 1.92 pair observations per 100 analyzed battles
43.9%
Hatterene
Hatterene2780 recorded pair observations · 1.86 pair observations per 100 analyzed battles
49.9%
Slowking-Galar
Slowking-Galar2635 recorded pair observations · 1.77 pair observations per 100 analyzed battles
48.6%
Cinderace
Cinderace2597 recorded pair observations · 1.74 pair observations per 100 analyzed battles
49.6%
Alomomola
Alomomola2438 recorded pair observations · 1.63 pair observations per 100 analyzed battles
47.5%
Landorus-Therian
Landorus-Therian2371 recorded pair observations · 1.59 pair observations per 100 analyzed battles
46.8%
Samurott-Hisui
Samurott-Hisui2346 recorded pair observations · 1.57 pair observations per 100 analyzed battles
46.4%
Kyurem
Kyurem2330 recorded pair observations · 1.56 pair observations per 100 analyzed battles
48.4%
Glimmora
Glimmora2309 recorded pair observations · 1.55 pair observations per 100 analyzed battles
45.4%
Iron Treads
Iron Treads2230 recorded pair observations · 1.49 pair observations per 100 analyzed battles
46.6%

Higher Win-rate Partners

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

Moltres-Galar
Moltres-Galar465 recorded pair observations · 0.31 pair observations per 100 analyzed battles
58.1%
Ribombee
Ribombee595 recorded pair observations · 0.40 pair observations per 100 analyzed battles
56.5%
Zamazenta-*
Zamazenta-*3220 recorded pair observations · 2.16 pair observations per 100 analyzed battles
56.1%
Araquanid
Araquanid528 recorded pair observations · 0.35 pair observations per 100 analyzed battles
55.5%
Ogerpon-Cornerstone
Ogerpon-Cornerstone656 recorded pair observations · 0.44 pair observations per 100 analyzed battles
55.2%
Iron Crown
Iron Crown1137 recorded pair observations · 0.76 pair observations per 100 analyzed battles
54.9%
Landorus-Therian
Landorus-Therian1579 recorded pair observations · 1.06 pair observations per 100 analyzed battles
54.8%
Lilligant-Hisui
Lilligant-Hisui363 recorded pair observations · 0.24 pair observations per 100 analyzed battles
54.8%
Raging Bolt
Raging Bolt3509 recorded pair observations · 2.35 pair observations per 100 analyzed battles
52.9%
Kyurem
Kyurem1921 recorded pair observations · 1.29 pair observations per 100 analyzed battles
52.8%

Lower Win-rate Partners

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

Gyarados
Gyarados259 recorded pair observations · 0.17 pair observations per 100 analyzed battles
38.6%
Zoroark-Hisui
Zoroark-Hisui486 recorded pair observations · 0.33 pair observations per 100 analyzed battles
39.7%
Gardevoir
Gardevoir297 recorded pair observations · 0.20 pair observations per 100 analyzed battles
40.1%
Tinkaton
Tinkaton347 recorded pair observations · 0.23 pair observations per 100 analyzed battles
41.2%
Dondozo
Dondozo501 recorded pair observations · 0.34 pair observations per 100 analyzed battles
41.7%
Mimikyu
Mimikyu327 recorded pair observations · 0.22 pair observations per 100 analyzed battles
41.9%
Clodsire
Clodsire434 recorded pair observations · 0.29 pair observations per 100 analyzed battles
42.9%
Toxapex
Toxapex344 recorded pair observations · 0.23 pair observations per 100 analyzed battles
43.0%
Haxorus
Haxorus263 recorded pair observations · 0.18 pair observations per 100 analyzed battles
43.4%
Regieleki
Regieleki282 recorded pair observations · 0.19 pair observations per 100 analyzed battles
44.3%

Higher Win-rate Opponent Teams

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

Incineroar
Incineroar291 recorded pair observations · 0.19 pair observations per 100 analyzed battles
57.7%
Blastoise
Blastoise256 recorded pair observations · 0.17 pair observations per 100 analyzed battles
56.6%
Umbreon
Umbreon268 recorded pair observations · 0.18 pair observations per 100 analyzed battles
56.3%
Serperior
Serperior662 recorded pair observations · 0.44 pair observations per 100 analyzed battles
56.2%
Arcanine-Hisui
Arcanine-Hisui369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.7%
Venusaur
Venusaur548 recorded pair observations · 0.37 pair observations per 100 analyzed battles
54.7%
Gengar
Gengar545 recorded pair observations · 0.37 pair observations per 100 analyzed battles
54.3%
Gyarados
Gyarados313 recorded pair observations · 0.21 pair observations per 100 analyzed battles
54.3%
Metagross
Metagross368 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.1%
Blaziken
Blaziken760 recorded pair observations · 0.51 pair observations per 100 analyzed battles
54.0%

Lower Win-rate Opponent Teams

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

Manaphy
Manaphy297 recorded pair observations · 0.20 pair observations per 100 analyzed battles
41.4%
Moltres-Galar
Moltres-Galar282 recorded pair observations · 0.19 pair observations per 100 analyzed battles
43.3%
Indeedee
Indeedee329 recorded pair observations · 0.22 pair observations per 100 analyzed battles
43.5%
Raging Bolt
Raging Bolt2865 recorded pair observations · 1.92 pair observations per 100 analyzed battles
43.9%
Excadrill
Excadrill714 recorded pair observations · 0.48 pair observations per 100 analyzed battles
44.7%
Toxapex
Toxapex982 recorded pair observations · 0.66 pair observations per 100 analyzed battles
44.9%
Zamazenta-*
Zamazenta-*3324 recorded pair observations · 2.23 pair observations per 100 analyzed battles
44.9%
Iron Moth
Iron Moth1818 recorded pair observations · 1.22 pair observations per 100 analyzed battles
45.3%
Ogerpon-Cornerstone
Ogerpon-Cornerstone327 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.3%
Glimmora
Glimmora2309 recorded pair observations · 1.55 pair observations per 100 analyzed battles
45.4%