Last Updated: 10/10/2026 14:11 [UTC]

Greninja-*

Tier E

OU (Over Used)

2.73%Usage Rate
45.55%Win Rate
14.45%Lead Rate
1193Avg Rating

8165 recorded team appearances · 3719 wins · 4446 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Dark Pulse Recorded use in 1173 of 8165 distinct recorded team appearances (14.4%) 563 winning team uses of 1173 recorded team uses
48.0%
Ice Beam Recorded use in 1015 of 8165 distinct recorded team appearances (12.4%) 489 winning team uses of 1015 recorded team uses
48.2%
Water Shuriken Recorded use in 807 of 8165 distinct recorded team appearances (9.9%) 372 winning team uses of 807 recorded team uses
46.1%
Hydro Pump Recorded use in 731 of 8165 distinct recorded team appearances (9.0%) 342 winning team uses of 731 recorded team uses
46.8%
Surf Recorded use in 520 of 8165 distinct recorded team appearances (6.4%) 263 winning team uses of 520 recorded team uses
50.6%
Sludge Wave Recorded use in 390 of 8165 distinct recorded team appearances (4.8%) 176 winning team uses of 390 recorded team uses
45.1%
U-turn Recorded use in 336 of 8165 distinct recorded team appearances (4.1%) 164 winning team uses of 336 recorded team uses
48.8%
Grass Knot Recorded use in 158 of 8165 distinct recorded team appearances (1.9%) 71 winning team uses of 158 recorded team uses
44.9%
Gunk Shot Recorded use in 132 of 8165 distinct recorded team appearances (1.6%) 54 winning team uses of 132 recorded team uses
40.9%
Liquidation Recorded use in 109 of 8165 distinct recorded team appearances (1.3%) 53 winning team uses of 109 recorded team uses
48.6%

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: 2026/09/26 23:07–2026/09/30 15:45 JST 2.95 44.60 74642 2204 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 2.88 46.63 74642 2151 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 2.53 45.18 74640 1888 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.58 45.79 74640 1922 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 3.96 42.19 60200 2382 Observed
~R1156 3.04 46.73 59416 1804 Observed
~R1268 2.54 46.00 59484 1511 Observed
~R1398 2.38 49.58 59960 1430 Observed
R1398~ 1.74 44.99 59504 1038 Observed

Greninja-* Observed Statistics

Performance Metrics

Greninja-* has a reported usage rate of 2.73% and win rate of 45.55% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 3,719 wins and 4,446 losses (8,165 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 2.95% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.58% 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 -0.37 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 44.60% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=2,204 recorded appearances) and 45.79% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,922 recorded appearances), a change of +1.19 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 1.74% (R1398~; n=59,504 team slots) to 3.96% (~R1084; n=60,200 team slots), a spread of 2.22 percentage points. Overall usage was 2.73%. 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 (1,173; 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: Dragapult: 46.6% wins in 1,635 recorded pair observations; Corviknight: 47.6% wins in 1,472 recorded pair observations; Cinderace: 47.1% wins in 1,111 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: Blaziken: 52.2% wins in 251 recorded pair observations; Cresselia: 52.1% wins in 192 recorded pair observations; Maushold: 50.3% wins in 185 recorded pair observations. Returned lower-win-rate opponent group: Hoopa-Unbound: 38.8% wins in 219 recorded pair observations; Weezing-Galar: 39.0% wins in 313 recorded pair observations; Alomomola: 39.2% wins in 773 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%

Dragapult
Dragapult1635 recorded pair observations · 1.10 pair observations per 100 analyzed battles
46.6%
Corviknight
Corviknight1472 recorded pair observations · 0.99 pair observations per 100 analyzed battles
47.6%
Cinderace
Cinderace1111 recorded pair observations · 0.74 pair observations per 100 analyzed battles
47.1%
Kingambit
Kingambit1066 recorded pair observations · 0.71 pair observations per 100 analyzed battles
48.8%
Pelipper
Pelipper1036 recorded pair observations · 0.69 pair observations per 100 analyzed battles
51.4%
Gholdengo
Gholdengo1006 recorded pair observations · 0.67 pair observations per 100 analyzed battles
47.7%
Great Tusk
Great Tusk975 recorded pair observations · 0.65 pair observations per 100 analyzed battles
47.5%
Garchomp
Garchomp962 recorded pair observations · 0.64 pair observations per 100 analyzed battles
44.8%
Iron Valiant
Iron Valiant959 recorded pair observations · 0.64 pair observations per 100 analyzed battles
50.0%
Dragonite
Dragonite902 recorded pair observations · 0.60 pair observations per 100 analyzed battles
46.0%
Meowscarada
Meowscarada866 recorded pair observations · 0.58 pair observations per 100 analyzed battles
49.1%
Gliscor
Gliscor805 recorded pair observations · 0.54 pair observations per 100 analyzed battles
41.7%
Ceruledge
Ceruledge798 recorded pair observations · 0.53 pair observations per 100 analyzed battles
45.6%
Scizor
Scizor774 recorded pair observations · 0.52 pair observations per 100 analyzed battles
48.5%
Glimmora
Glimmora642 recorded pair observations · 0.43 pair observations per 100 analyzed battles
50.0%
Raging Bolt
Raging Bolt565 recorded pair observations · 0.38 pair observations per 100 analyzed battles
51.7%
Blaziken
Blaziken547 recorded pair observations · 0.37 pair observations per 100 analyzed battles
48.1%
Zamazenta-*
Zamazenta-*535 recorded pair observations · 0.36 pair observations per 100 analyzed battles
49.4%
Iron Treads
Iron Treads520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
49.6%
Zapdos
Zapdos508 recorded pair observations · 0.34 pair observations per 100 analyzed battles
47.8%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk2057 recorded pair observations · 1.38 pair observations per 100 analyzed battles
44.6%
Kingambit
Kingambit1606 recorded pair observations · 1.08 pair observations per 100 analyzed battles
42.6%
Gholdengo
Gholdengo1600 recorded pair observations · 1.07 pair observations per 100 analyzed battles
43.9%
Gliscor
Gliscor1198 recorded pair observations · 0.80 pair observations per 100 analyzed battles
43.8%
Dragapult
Dragapult1152 recorded pair observations · 0.77 pair observations per 100 analyzed battles
45.1%
Dragonite
Dragonite1134 recorded pair observations · 0.76 pair observations per 100 analyzed battles
43.5%
Ogerpon-Wellspring
Ogerpon-Wellspring1066 recorded pair observations · 0.71 pair observations per 100 analyzed battles
44.8%
Zamazenta-*
Zamazenta-*1027 recorded pair observations · 0.69 pair observations per 100 analyzed battles
39.7%
Iron Valiant
Iron Valiant1018 recorded pair observations · 0.68 pair observations per 100 analyzed battles
44.1%
Corviknight
Corviknight1008 recorded pair observations · 0.68 pair observations per 100 analyzed battles
41.8%
Raging Bolt
Raging Bolt901 recorded pair observations · 0.60 pair observations per 100 analyzed battles
42.5%
Hatterene
Hatterene871 recorded pair observations · 0.58 pair observations per 100 analyzed battles
46.6%
Slowking-Galar
Slowking-Galar856 recorded pair observations · 0.57 pair observations per 100 analyzed battles
44.5%
Cinderace
Cinderace808 recorded pair observations · 0.54 pair observations per 100 analyzed battles
42.2%
Alomomola
Alomomola773 recorded pair observations · 0.52 pair observations per 100 analyzed battles
39.2%
Landorus-Therian
Landorus-Therian748 recorded pair observations · 0.50 pair observations per 100 analyzed battles
41.3%
Ceruledge
Ceruledge721 recorded pair observations · 0.48 pair observations per 100 analyzed battles
49.1%
Samurott-Hisui
Samurott-Hisui717 recorded pair observations · 0.48 pair observations per 100 analyzed battles
41.0%
Glimmora
Glimmora704 recorded pair observations · 0.47 pair observations per 100 analyzed battles
46.6%
Kyurem
Kyurem677 recorded pair observations · 0.45 pair observations per 100 analyzed battles
43.3%

Higher Win-rate Partners

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

Ribombee
Ribombee368 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.9%
Espeon
Espeon175 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.7%
Ogerpon
Ogerpon157 recorded pair observations · 0.11 pair observations per 100 analyzed battles
53.5%
Donphan
Donphan172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
52.3%
Ogerpon-Wellspring
Ogerpon-Wellspring238 recorded pair observations · 0.16 pair observations per 100 analyzed battles
52.1%
Raging Bolt
Raging Bolt565 recorded pair observations · 0.38 pair observations per 100 analyzed battles
51.7%
Pelipper
Pelipper1036 recorded pair observations · 0.69 pair observations per 100 analyzed battles
51.4%
Barraskewda
Barraskewda255 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.2%
Landorus-Therian
Landorus-Therian404 recorded pair observations · 0.27 pair observations per 100 analyzed battles
50.2%
Pecharunt
Pecharunt203 recorded pair observations · 0.14 pair observations per 100 analyzed battles
50.2%

Lower Win-rate Partners

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

Charizard
Charizard227 recorded pair observations · 0.15 pair observations per 100 analyzed battles
26.0%
Lucario
Lucario226 recorded pair observations · 0.15 pair observations per 100 analyzed battles
27.9%
Gardevoir
Gardevoir232 recorded pair observations · 0.16 pair observations per 100 analyzed battles
35.3%
Goodra
Goodra223 recorded pair observations · 0.15 pair observations per 100 analyzed battles
36.3%
Noivern
Noivern208 recorded pair observations · 0.14 pair observations per 100 analyzed battles
37.0%
Metagross
Metagross230 recorded pair observations · 0.15 pair observations per 100 analyzed battles
38.7%
Deoxys-Speed
Deoxys-Speed249 recorded pair observations · 0.17 pair observations per 100 analyzed battles
39.4%
Hawlucha
Hawlucha205 recorded pair observations · 0.14 pair observations per 100 analyzed battles
39.5%
Infernape
Infernape219 recorded pair observations · 0.15 pair observations per 100 analyzed battles
39.7%
Rotom-Wash
Rotom-Wash242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
40.1%

Higher Win-rate Opponent Teams

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

Blaziken
Blaziken251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
52.2%
Cresselia
Cresselia192 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.1%
Maushold
Maushold185 recorded pair observations · 0.12 pair observations per 100 analyzed battles
50.3%
Greninja-*
Greninja-*252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
50.0%
Excadrill
Excadrill218 recorded pair observations · 0.15 pair observations per 100 analyzed battles
49.5%
Ceruledge
Ceruledge721 recorded pair observations · 0.48 pair observations per 100 analyzed battles
49.1%
Serperior
Serperior218 recorded pair observations · 0.15 pair observations per 100 analyzed battles
49.1%
Ursaluna
Ursaluna223 recorded pair observations · 0.15 pair observations per 100 analyzed battles
48.9%
Garganacl
Garganacl476 recorded pair observations · 0.32 pair observations per 100 analyzed battles
48.7%
Tyranitar
Tyranitar295 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.5%

Lower Win-rate Opponent Teams

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

Hoopa-Unbound
Hoopa-Unbound219 recorded pair observations · 0.15 pair observations per 100 analyzed battles
38.8%
Weezing-Galar
Weezing-Galar313 recorded pair observations · 0.21 pair observations per 100 analyzed battles
39.0%
Alomomola
Alomomola773 recorded pair observations · 0.52 pair observations per 100 analyzed battles
39.2%
Clodsire
Clodsire263 recorded pair observations · 0.18 pair observations per 100 analyzed battles
39.2%
Skarmory
Skarmory168 recorded pair observations · 0.11 pair observations per 100 analyzed battles
39.3%
Zamazenta-*
Zamazenta-*1027 recorded pair observations · 0.69 pair observations per 100 analyzed battles
39.7%
Araquanid
Araquanid162 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.1%
Iron Hands
Iron Hands143 recorded pair observations · 0.10 pair observations per 100 analyzed battles
40.6%
Iron Crown
Iron Crown248 recorded pair observations · 0.17 pair observations per 100 analyzed battles
40.7%
Sinistcha
Sinistcha150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
40.7%