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

Darkrai

Tier C

OU (Over Used)

8.53%Usage Rate
51.81%Win Rate
17.27%Lead Rate
1272Avg Rating

25459 recorded team appearances · 13191 wins · 12268 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Dark Pulse Recorded use in 10177 of 25459 distinct recorded team appearances (40.0%) 5338 winning team uses of 10177 recorded team uses
52.5%
Ice Beam Recorded use in 5442 of 25459 distinct recorded team appearances (21.4%) 2971 winning team uses of 5442 recorded team uses
54.6%
Sludge Bomb Recorded use in 3498 of 25459 distinct recorded team appearances (13.7%) 1830 winning team uses of 3498 recorded team uses
52.3%
Nasty Plot Recorded use in 2213 of 25459 distinct recorded team appearances (8.7%) 1039 winning team uses of 2213 recorded team uses
46.9%
Focus Blast Recorded use in 1711 of 25459 distinct recorded team appearances (6.7%) 818 winning team uses of 1711 recorded team uses
47.8%
Will-O-Wisp Recorded use in 1228 of 25459 distinct recorded team appearances (4.8%) 626 winning team uses of 1228 recorded team uses
51.0%
Trick Recorded use in 1153 of 25459 distinct recorded team appearances (4.5%) 570 winning team uses of 1153 recorded team uses
49.4%
Knock Off Recorded use in 988 of 25459 distinct recorded team appearances (3.9%) 496 winning team uses of 988 recorded team uses
50.2%
Psychic Recorded use in 329 of 25459 distinct recorded team appearances (1.3%) 155 winning team uses of 329 recorded team uses
47.1%
Substitute Recorded use in 158 of 25459 distinct recorded team appearances (0.6%) 84 winning team uses of 158 recorded team uses
53.2%

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: 2026/09/26 23:07–2026/09/30 15:45 JST 8.01 52.31 74642 5976 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 9.32 51.87 74642 6956 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 8.69 51.72 74640 6485 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 8.09 51.36 74640 6042 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 6.32 55.82 60200 3807 Observed
~R1156 7.22 53.57 59416 4290 Observed
~R1268 8.74 52.41 59484 5201 Observed
~R1398 10.31 50.46 59960 6179 Observed
R1398~ 10.05 48.88 59504 5982 Observed

Darkrai Observed Statistics

Performance Metrics

Darkrai has a reported usage rate of 8.53% and win rate of 51.81% in OU (Over Used) (displayed tier: C). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 13,191 wins and 12,268 losses (25,459 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 8.01% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 8.09% 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 +0.08 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 52.31% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=5,976 recorded appearances) and 51.36% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=6,042 recorded appearances), a change of -0.95 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 6.32% (~R1084; n=60,200 team slots) to 10.31% (~R1398; n=59,960 team slots), a spread of 3.99 percentage points. Overall usage was 8.53%. 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, Dark Pulse has the largest recorded team-use count (10,177; 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: Gholdengo: 51.5% wins in 7,419 recorded pair observations; Dragonite: 52.4% wins in 6,512 recorded pair observations; Zamazenta-*: 53.5% wins in 6,226 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: Milotic: 62.6% wins in 270 recorded pair observations; Metagross: 61.5% wins in 312 recorded pair observations; Zoroark-Hisui: 60.5% wins in 306 recorded pair observations. Returned lower-win-rate opponent group: Iron Hands: 44.6% wins in 502 recorded pair observations; Zamazenta-*: 45.0% wins in 3,608 recorded pair observations; Cresselia: 45.2% wins in 726 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%

Gholdengo
Gholdengo7419 recorded pair observations · 4.97 pair observations per 100 analyzed battles
51.5%
Dragonite
Dragonite6512 recorded pair observations · 4.36 pair observations per 100 analyzed battles
52.4%
Zamazenta-*
Zamazenta-*6226 recorded pair observations · 4.17 pair observations per 100 analyzed battles
53.5%
Great Tusk
Great Tusk6042 recorded pair observations · 4.05 pair observations per 100 analyzed battles
51.4%
Ogerpon-Wellspring
Ogerpon-Wellspring4851 recorded pair observations · 3.25 pair observations per 100 analyzed battles
53.2%
Gliscor
Gliscor4367 recorded pair observations · 2.93 pair observations per 100 analyzed battles
49.9%
Landorus-Therian
Landorus-Therian4057 recorded pair observations · 2.72 pair observations per 100 analyzed battles
54.2%
Corviknight
Corviknight4031 recorded pair observations · 2.70 pair observations per 100 analyzed battles
51.7%
Ting-Lu
Ting-Lu3483 recorded pair observations · 2.33 pair observations per 100 analyzed battles
54.2%
Iron Valiant
Iron Valiant3357 recorded pair observations · 2.25 pair observations per 100 analyzed battles
51.9%
Alomomola
Alomomola3143 recorded pair observations · 2.11 pair observations per 100 analyzed battles
50.9%
Hatterene
Hatterene3092 recorded pair observations · 2.07 pair observations per 100 analyzed battles
52.7%
Garchomp
Garchomp2909 recorded pair observations · 1.95 pair observations per 100 analyzed battles
52.5%
Kyurem
Kyurem2775 recorded pair observations · 1.86 pair observations per 100 analyzed battles
52.7%
Cinderace
Cinderace2708 recorded pair observations · 1.81 pair observations per 100 analyzed battles
52.7%
Slowking-Galar
Slowking-Galar2531 recorded pair observations · 1.70 pair observations per 100 analyzed battles
52.5%
Dragapult
Dragapult2472 recorded pair observations · 1.66 pair observations per 100 analyzed battles
50.2%
Raging Bolt
Raging Bolt2362 recorded pair observations · 1.58 pair observations per 100 analyzed battles
52.9%
Kingambit
Kingambit2243 recorded pair observations · 1.50 pair observations per 100 analyzed battles
52.3%
Ceruledge
Ceruledge2237 recorded pair observations · 1.50 pair observations per 100 analyzed battles
52.7%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk7223 recorded pair observations · 4.84 pair observations per 100 analyzed battles
49.4%
Gholdengo
Gholdengo5360 recorded pair observations · 3.59 pair observations per 100 analyzed battles
50.2%
Kingambit
Kingambit5096 recorded pair observations · 3.41 pair observations per 100 analyzed battles
49.4%
Ogerpon-Wellspring
Ogerpon-Wellspring3759 recorded pair observations · 2.52 pair observations per 100 analyzed battles
49.8%
Dragonite
Dragonite3681 recorded pair observations · 2.47 pair observations per 100 analyzed battles
50.9%
Zamazenta-*
Zamazenta-*3608 recorded pair observations · 2.42 pair observations per 100 analyzed battles
45.0%
Dragapult
Dragapult3480 recorded pair observations · 2.33 pair observations per 100 analyzed battles
52.0%
Iron Valiant
Iron Valiant3408 recorded pair observations · 2.28 pair observations per 100 analyzed battles
51.6%
Gliscor
Gliscor3395 recorded pair observations · 2.27 pair observations per 100 analyzed battles
54.3%
Corviknight
Corviknight3194 recorded pair observations · 2.14 pair observations per 100 analyzed battles
51.6%
Raging Bolt
Raging Bolt3023 recorded pair observations · 2.03 pair observations per 100 analyzed battles
46.9%
Slowking-Galar
Slowking-Galar2937 recorded pair observations · 1.97 pair observations per 100 analyzed battles
51.0%
Hatterene
Hatterene2905 recorded pair observations · 1.95 pair observations per 100 analyzed battles
47.9%
Cinderace
Cinderace2829 recorded pair observations · 1.90 pair observations per 100 analyzed battles
50.8%
Alomomola
Alomomola2606 recorded pair observations · 1.75 pair observations per 100 analyzed battles
51.1%
Kyurem
Kyurem2523 recorded pair observations · 1.69 pair observations per 100 analyzed battles
49.6%
Landorus-Therian
Landorus-Therian2518 recorded pair observations · 1.69 pair observations per 100 analyzed battles
50.1%
Samurott-Hisui
Samurott-Hisui2497 recorded pair observations · 1.67 pair observations per 100 analyzed battles
48.6%
Iron Treads
Iron Treads2381 recorded pair observations · 1.59 pair observations per 100 analyzed battles
49.1%
Glimmora
Glimmora2247 recorded pair observations · 1.51 pair observations per 100 analyzed battles
50.2%

Higher Win-rate Partners

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

Okidogi
Okidogi385 recorded pair observations · 0.26 pair observations per 100 analyzed battles
59.5%
Skeledirge
Skeledirge286 recorded pair observations · 0.19 pair observations per 100 analyzed battles
58.4%
Meowscarada
Meowscarada579 recorded pair observations · 0.39 pair observations per 100 analyzed battles
56.3%
Hydrapple
Hydrapple352 recorded pair observations · 0.24 pair observations per 100 analyzed battles
56.2%
Iron Crown
Iron Crown1022 recorded pair observations · 0.68 pair observations per 100 analyzed battles
55.7%
Rotom-Wash
Rotom-Wash466 recorded pair observations · 0.31 pair observations per 100 analyzed battles
55.1%
Cresselia
Cresselia484 recorded pair observations · 0.32 pair observations per 100 analyzed battles
55.0%
Volcanion
Volcanion449 recorded pair observations · 0.30 pair observations per 100 analyzed battles
55.0%
Ninetales-Alola
Ninetales-Alola603 recorded pair observations · 0.40 pair observations per 100 analyzed battles
54.7%
Iron Treads
Iron Treads2103 recorded pair observations · 1.41 pair observations per 100 analyzed battles
54.5%

Lower Win-rate Partners

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

Tyranitar
Tyranitar282 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.7%
Blissey
Blissey274 recorded pair observations · 0.18 pair observations per 100 analyzed battles
46.4%
Grimmsnarl
Grimmsnarl286 recorded pair observations · 0.19 pair observations per 100 analyzed battles
46.9%
Toxapex
Toxapex433 recorded pair observations · 0.29 pair observations per 100 analyzed battles
47.1%
Clefable
Clefable893 recorded pair observations · 0.60 pair observations per 100 analyzed battles
47.7%
Latias
Latias303 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.2%
Latios
Latios295 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.8%
Deoxys-Speed
Deoxys-Speed1280 recorded pair observations · 0.86 pair observations per 100 analyzed battles
49.1%
Hoopa-Unbound
Hoopa-Unbound487 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.1%
Gengar
Gengar260 recorded pair observations · 0.17 pair observations per 100 analyzed battles
49.2%

Higher Win-rate Opponent Teams

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

Milotic
Milotic270 recorded pair observations · 0.18 pair observations per 100 analyzed battles
62.6%
Metagross
Metagross312 recorded pair observations · 0.21 pair observations per 100 analyzed battles
61.5%
Zoroark-Hisui
Zoroark-Hisui306 recorded pair observations · 0.20 pair observations per 100 analyzed battles
60.5%
Cloyster
Cloyster326 recorded pair observations · 0.22 pair observations per 100 analyzed battles
58.9%
Espeon
Espeon306 recorded pair observations · 0.20 pair observations per 100 analyzed battles
58.8%
Rotom-Wash
Rotom-Wash599 recorded pair observations · 0.40 pair observations per 100 analyzed battles
57.6%
Greninja-*
Greninja-*671 recorded pair observations · 0.45 pair observations per 100 analyzed battles
57.4%
Maushold
Maushold530 recorded pair observations · 0.36 pair observations per 100 analyzed battles
57.2%
Clodsire
Clodsire830 recorded pair observations · 0.56 pair observations per 100 analyzed battles
56.5%
Gengar
Gengar498 recorded pair observations · 0.33 pair observations per 100 analyzed battles
56.4%

Lower Win-rate Opponent Teams

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

Iron Hands
Iron Hands502 recorded pair observations · 0.34 pair observations per 100 analyzed battles
44.6%
Zamazenta-*
Zamazenta-*3608 recorded pair observations · 2.42 pair observations per 100 analyzed battles
45.0%
Cresselia
Cresselia726 recorded pair observations · 0.49 pair observations per 100 analyzed battles
45.2%
Slither Wing
Slither Wing394 recorded pair observations · 0.26 pair observations per 100 analyzed battles
45.9%
Ninetales
Ninetales762 recorded pair observations · 0.51 pair observations per 100 analyzed battles
46.9%
Raging Bolt
Raging Bolt3023 recorded pair observations · 2.03 pair observations per 100 analyzed battles
46.9%
Hoopa-Unbound
Hoopa-Unbound735 recorded pair observations · 0.49 pair observations per 100 analyzed battles
47.1%
Ting-Lu
Ting-Lu2137 recorded pair observations · 1.43 pair observations per 100 analyzed battles
47.5%
Walking Wake
Walking Wake1717 recorded pair observations · 1.15 pair observations per 100 analyzed battles
47.6%
Barraskewda
Barraskewda566 recorded pair observations · 0.38 pair observations per 100 analyzed battles
47.9%