Last Updated: 10/10/2026 14:13 [UTC]

Sinistcha

Tier E

OU (Over Used)

1.92%Usage Rate
50.90%Win Rate
5.80%Lead Rate
1280Avg Rating

5741 recorded team appearances · 2922 wins · 2819 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Strength Sap Recorded use in 1857 of 5741 distinct recorded team appearances (32.3%) 1000 winning team uses of 1857 recorded team uses
53.9%
Matcha Gotcha Recorded use in 1834 of 5741 distinct recorded team appearances (31.9%) 1016 winning team uses of 1834 recorded team uses
55.4%
Shadow Ball Recorded use in 1660 of 5741 distinct recorded team appearances (28.9%) 958 winning team uses of 1660 recorded team uses
57.7%
Calm Mind Recorded use in 1627 of 5741 distinct recorded team appearances (28.3%) 845 winning team uses of 1627 recorded team uses
51.9%
Stun Spore Recorded use in 160 of 5741 distinct recorded team appearances (2.8%) 71 winning team uses of 160 recorded team uses
44.4%
Hex Recorded use in 146 of 5741 distinct recorded team appearances (2.5%) 66 winning team uses of 146 recorded team uses
45.2%
Trick Room Recorded use in 144 of 5741 distinct recorded team appearances (2.5%) 69 winning team uses of 144 recorded team uses
47.9%
Scald Recorded use in 125 of 5741 distinct recorded team appearances (2.2%) 60 winning team uses of 125 recorded team uses
48.0%
Giga Drain Recorded use in 83 of 5741 distinct recorded team appearances (1.4%) 43 winning team uses of 83 recorded team uses
51.8%
Nasty Plot Recorded use in 47 of 5741 distinct recorded team appearances (0.8%) 24 winning team uses of 47 recorded team uses
51.1%

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 1.89 50.92 74642 1414 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.89 50.39 74642 1411 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 2.15 51.28 74640 1605 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 1.76 50.95 74640 1311 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.51 53.52 60200 910 Observed
~R1156 1.72 48.97 59416 1019 Observed
~R1268 1.89 49.60 59484 1123 Observed
~R1398 1.93 51.51 59960 1157 Observed
R1398~ 2.57 51.11 59504 1532 Observed

Sinistcha Observed Statistics

Performance Metrics

Sinistcha has a reported usage rate of 1.92% and win rate of 50.90% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 2,922 wins and 2,819 losses (5,741 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 1.89% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 1.76% 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 -0.13 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 50.92% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=1,414 recorded appearances) and 50.95% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,311 recorded appearances), a change of +0.03 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 1.51% (~R1084; n=60,200 team slots) to 2.57% (R1398~; n=59,504 team slots), a spread of 1.06 percentage points. Overall usage was 1.92%. 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, Strength Sap has the largest recorded team-use count (1,857; 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: Gliscor: 52.9% wins in 1,311 recorded pair observations; Great Tusk: 56.3% wins in 1,175 recorded pair observations; Ting-Lu: 53.2% wins in 1,084 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: Clodsire: 60.8% wins in 176 recorded pair observations; Greninja-*: 59.3% wins in 150 recorded pair observations; Torkoal: 55.9% wins in 186 recorded pair observations. Returned lower-win-rate opponent group: Ogerpon: 41.5% wins in 229 recorded pair observations; Iron Crown: 42.5% wins in 240 recorded pair observations; Tornadus-Therian: 43.6% wins in 202 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%

Gliscor
Gliscor1311 recorded pair observations · 0.88 pair observations per 100 analyzed battles
52.9%
Great Tusk
Great Tusk1175 recorded pair observations · 0.79 pair observations per 100 analyzed battles
56.3%
Ting-Lu
Ting-Lu1084 recorded pair observations · 0.73 pair observations per 100 analyzed battles
53.2%
Samurott-Hisui
Samurott-Hisui928 recorded pair observations · 0.62 pair observations per 100 analyzed battles
54.1%
Dragonite
Dragonite899 recorded pair observations · 0.60 pair observations per 100 analyzed battles
53.8%
Tinkaton
Tinkaton878 recorded pair observations · 0.59 pair observations per 100 analyzed battles
54.7%
Heatran
Heatran700 recorded pair observations · 0.47 pair observations per 100 analyzed battles
51.9%
Corviknight
Corviknight649 recorded pair observations · 0.43 pair observations per 100 analyzed battles
53.9%
Tyranitar
Tyranitar630 recorded pair observations · 0.42 pair observations per 100 analyzed battles
54.1%
Gholdengo
Gholdengo592 recorded pair observations · 0.40 pair observations per 100 analyzed battles
51.5%
Kingambit
Kingambit562 recorded pair observations · 0.38 pair observations per 100 analyzed battles
49.1%
Moltres
Moltres554 recorded pair observations · 0.37 pair observations per 100 analyzed battles
55.6%
Garganacl
Garganacl522 recorded pair observations · 0.35 pair observations per 100 analyzed battles
56.9%
Excadrill
Excadrill508 recorded pair observations · 0.34 pair observations per 100 analyzed battles
53.9%
Dragapult
Dragapult482 recorded pair observations · 0.32 pair observations per 100 analyzed battles
48.3%
Iron Valiant
Iron Valiant456 recorded pair observations · 0.31 pair observations per 100 analyzed battles
55.5%
Slowking-Galar
Slowking-Galar444 recorded pair observations · 0.30 pair observations per 100 analyzed battles
55.0%
Iron Treads
Iron Treads434 recorded pair observations · 0.29 pair observations per 100 analyzed battles
49.5%
Glimmora
Glimmora428 recorded pair observations · 0.29 pair observations per 100 analyzed battles
51.4%
Zamazenta-*
Zamazenta-*428 recorded pair observations · 0.29 pair observations per 100 analyzed battles
54.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1591 recorded pair observations · 1.07 pair observations per 100 analyzed battles
48.1%
Gholdengo
Gholdengo1195 recorded pair observations · 0.80 pair observations per 100 analyzed battles
47.0%
Kingambit
Kingambit1161 recorded pair observations · 0.78 pair observations per 100 analyzed battles
48.1%
Zamazenta-*
Zamazenta-*851 recorded pair observations · 0.57 pair observations per 100 analyzed battles
48.4%
Ogerpon-Wellspring
Ogerpon-Wellspring835 recorded pair observations · 0.56 pair observations per 100 analyzed battles
51.5%
Dragonite
Dragonite816 recorded pair observations · 0.55 pair observations per 100 analyzed battles
49.6%
Dragapult
Dragapult793 recorded pair observations · 0.53 pair observations per 100 analyzed battles
54.4%
Iron Valiant
Iron Valiant793 recorded pair observations · 0.53 pair observations per 100 analyzed battles
48.0%
Gliscor
Gliscor760 recorded pair observations · 0.51 pair observations per 100 analyzed battles
49.5%
Raging Bolt
Raging Bolt715 recorded pair observations · 0.48 pair observations per 100 analyzed battles
49.2%
Corviknight
Corviknight708 recorded pair observations · 0.47 pair observations per 100 analyzed battles
52.0%
Slowking-Galar
Slowking-Galar665 recorded pair observations · 0.45 pair observations per 100 analyzed battles
51.6%
Hatterene
Hatterene661 recorded pair observations · 0.44 pair observations per 100 analyzed battles
49.3%
Cinderace
Cinderace622 recorded pair observations · 0.42 pair observations per 100 analyzed battles
49.8%
Landorus-Therian
Landorus-Therian592 recorded pair observations · 0.40 pair observations per 100 analyzed battles
50.2%
Alomomola
Alomomola575 recorded pair observations · 0.39 pair observations per 100 analyzed battles
50.8%
Kyurem
Kyurem573 recorded pair observations · 0.38 pair observations per 100 analyzed battles
47.8%
Iron Treads
Iron Treads557 recorded pair observations · 0.37 pair observations per 100 analyzed battles
50.3%
Samurott-Hisui
Samurott-Hisui555 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.0%
Glimmora
Glimmora540 recorded pair observations · 0.36 pair observations per 100 analyzed battles
49.6%

Higher Win-rate Partners

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

Blissey
Blissey236 recorded pair observations · 0.16 pair observations per 100 analyzed battles
60.6%
Skarmory
Skarmory264 recorded pair observations · 0.18 pair observations per 100 analyzed battles
58.3%
Swampert
Swampert169 recorded pair observations · 0.11 pair observations per 100 analyzed battles
58.0%
Garganacl
Garganacl522 recorded pair observations · 0.35 pair observations per 100 analyzed battles
56.9%
Great Tusk
Great Tusk1175 recorded pair observations · 0.79 pair observations per 100 analyzed battles
56.3%
Deoxys-Speed
Deoxys-Speed146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
56.2%
Keldeo-Resolute
Keldeo-Resolute180 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.6%
Moltres
Moltres554 recorded pair observations · 0.37 pair observations per 100 analyzed battles
55.6%
Weavile
Weavile293 recorded pair observations · 0.20 pair observations per 100 analyzed battles
55.6%
Iron Valiant
Iron Valiant456 recorded pair observations · 0.31 pair observations per 100 analyzed battles
55.5%

Lower Win-rate Partners

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

Kyurem
Kyurem177 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.1%
Cinderace
Cinderace172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.2%
Darkrai
Darkrai188 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.7%
Meowscarada
Meowscarada210 recorded pair observations · 0.14 pair observations per 100 analyzed battles
45.2%
Hatterene
Hatterene326 recorded pair observations · 0.22 pair observations per 100 analyzed battles
45.4%
Lokix
Lokix281 recorded pair observations · 0.19 pair observations per 100 analyzed battles
45.9%
Greninja-*
Greninja-*155 recorded pair observations · 0.10 pair observations per 100 analyzed battles
46.5%
Iron Crown
Iron Crown228 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.9%
Enamorus
Enamorus190 recorded pair observations · 0.13 pair observations per 100 analyzed battles
47.9%
Dragapult
Dragapult482 recorded pair observations · 0.32 pair observations per 100 analyzed battles
48.3%

Higher Win-rate Opponent Teams

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

Clodsire
Clodsire176 recorded pair observations · 0.12 pair observations per 100 analyzed battles
60.8%
Greninja-*
Greninja-*150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
59.3%
Torkoal
Torkoal186 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.9%
Scizor
Scizor263 recorded pair observations · 0.18 pair observations per 100 analyzed battles
55.5%
Dondozo
Dondozo253 recorded pair observations · 0.17 pair observations per 100 analyzed battles
55.3%
Tyranitar
Tyranitar212 recorded pair observations · 0.14 pair observations per 100 analyzed battles
55.2%
Venusaur
Venusaur142 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.9%
Ting-Lu
Ting-Lu458 recorded pair observations · 0.31 pair observations per 100 analyzed battles
54.8%
Dragapult
Dragapult793 recorded pair observations · 0.53 pair observations per 100 analyzed battles
54.4%
Blaziken
Blaziken157 recorded pair observations · 0.11 pair observations per 100 analyzed battles
53.5%

Lower Win-rate Opponent Teams

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

Ogerpon
Ogerpon229 recorded pair observations · 0.15 pair observations per 100 analyzed battles
41.5%
Iron Crown
Iron Crown240 recorded pair observations · 0.16 pair observations per 100 analyzed battles
42.5%
Tornadus-Therian
Tornadus-Therian202 recorded pair observations · 0.14 pair observations per 100 analyzed battles
43.6%
Samurott-Hisui
Samurott-Hisui555 recorded pair observations · 0.37 pair observations per 100 analyzed battles
45.0%
Blissey
Blissey160 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.6%
Cresselia
Cresselia171 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.6%
Enamorus
Enamorus178 recorded pair observations · 0.12 pair observations per 100 analyzed battles
46.6%
Heatran
Heatran226 recorded pair observations · 0.15 pair observations per 100 analyzed battles
46.9%
Gholdengo
Gholdengo1195 recorded pair observations · 0.80 pair observations per 100 analyzed battles
47.0%
Primarina
Primarina309 recorded pair observations · 0.21 pair observations per 100 analyzed battles
47.2%