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

Grimmsnarl

Tier E

OU (Over Used)

1.83%Usage Rate
47.59%Win Rate
48.45%Lead Rate
1179Avg Rating

5451 recorded team appearances · 2594 wins · 2857 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Reflect Recorded use in 2423 of 5451 distinct recorded team appearances (44.5%) 1175 winning team uses of 2423 recorded team uses
48.5%
Light Screen Recorded use in 2258 of 5451 distinct recorded team appearances (41.4%) 1095 winning team uses of 2258 recorded team uses
48.5%
Parting Shot Recorded use in 1955 of 5451 distinct recorded team appearances (35.9%) 938 winning team uses of 1955 recorded team uses
48.0%
Taunt Recorded use in 844 of 5451 distinct recorded team appearances (15.5%) 415 winning team uses of 844 recorded team uses
49.2%
Spirit Break Recorded use in 723 of 5451 distinct recorded team appearances (13.3%) 355 winning team uses of 723 recorded team uses
49.1%
Thunder Wave Recorded use in 578 of 5451 distinct recorded team appearances (10.6%) 279 winning team uses of 578 recorded team uses
48.3%
Trick Recorded use in 235 of 5451 distinct recorded team appearances (4.3%) 110 winning team uses of 235 recorded team uses
46.8%
Sucker Punch Recorded use in 176 of 5451 distinct recorded team appearances (3.2%) 86 winning team uses of 176 recorded team uses
48.9%
Play Rough Recorded use in 166 of 5451 distinct recorded team appearances (3.0%) 78 winning team uses of 166 recorded team uses
47.0%
Fake Out Recorded use in 117 of 5451 distinct recorded team appearances (2.1%) 46 winning team uses of 117 recorded team uses
39.3%

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 15:46 JST 1.97 47.76 74644 1472 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.66 46.78 74642 1242 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:56 JST 1.61 48.21 74642 1201 Observed
Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST 2.06 47.59 74642 1536 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 2.46 48.45 60202 1482 Observed
~R1156 2.61 48.77 59416 1548 Observed
~R1268 1.99 44.92 59484 1182 Observed
~R1398 1.22 47.68 59962 734 Observed
R1398~ 0.85 47.52 59506 505 Observed

Grimmsnarl Observed Statistics

Performance Metrics

Grimmsnarl has a reported usage rate of 1.83% and win rate of 47.59% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,285 recorded battles. 2,594 wins and 2,857 losses (5,451 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 1.97% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=74,644 team slots) and 2.06% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=74,642 team slots), a change of +0.09 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 47.76% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=1,472 recorded appearances) and 47.59% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=1,536 recorded appearances), a change of -0.17 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 0.85% (R1398~; n=59,506 team slots) to 2.61% (~R1156; n=59,416 team slots), a spread of 1.76 percentage points. Overall usage was 1.83%. 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, Reflect has the largest recorded team-use count (2,423; 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: 52.7% wins in 1,219 recorded pair observations; Dragapult: 46.6% wins in 1,005 recorded pair observations; Glimmora: 51.6% wins in 728 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: Deoxys-Speed: 53.9% wins in 273 recorded pair observations; Toxapex: 53.3% wins in 227 recorded pair observations; Greninja-*: 51.6% wins in 153 recorded pair observations. Returned lower-win-rate opponent group: Heatran: 35.2% wins in 227 recorded pair observations; Iron Moth: 37.4% wins in 420 recorded pair observations; Enamorus: 40.0% wins in 170 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 Tusk1219 recorded pair observations · 0.82 pair observations per 100 analyzed battles
52.7%
Dragapult
Dragapult1005 recorded pair observations · 0.67 pair observations per 100 analyzed battles
46.6%
Glimmora
Glimmora728 recorded pair observations · 0.49 pair observations per 100 analyzed battles
51.6%
Corviknight
Corviknight689 recorded pair observations · 0.46 pair observations per 100 analyzed battles
47.2%
Gholdengo
Gholdengo659 recorded pair observations · 0.44 pair observations per 100 analyzed battles
47.8%
Ceruledge
Ceruledge624 recorded pair observations · 0.42 pair observations per 100 analyzed battles
50.2%
Dragonite
Dragonite622 recorded pair observations · 0.42 pair observations per 100 analyzed battles
48.1%
Iron Valiant
Iron Valiant616 recorded pair observations · 0.41 pair observations per 100 analyzed battles
47.4%
Kingambit
Kingambit611 recorded pair observations · 0.41 pair observations per 100 analyzed battles
50.2%
Hatterene
Hatterene592 recorded pair observations · 0.40 pair observations per 100 analyzed battles
52.2%
Ogerpon-Wellspring
Ogerpon-Wellspring591 recorded pair observations · 0.40 pair observations per 100 analyzed battles
54.5%
Gliscor
Gliscor505 recorded pair observations · 0.34 pair observations per 100 analyzed battles
45.9%
Iron Moth
Iron Moth470 recorded pair observations · 0.31 pair observations per 100 analyzed battles
49.6%
Iron Treads
Iron Treads465 recorded pair observations · 0.31 pair observations per 100 analyzed battles
46.7%
Iron Crown
Iron Crown396 recorded pair observations · 0.27 pair observations per 100 analyzed battles
56.6%
Rillaboom
Rillaboom380 recorded pair observations · 0.25 pair observations per 100 analyzed battles
50.5%
Kommo-o
Kommo-o378 recorded pair observations · 0.25 pair observations per 100 analyzed battles
52.9%
Cinderace
Cinderace369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
47.7%
Garganacl
Garganacl361 recorded pair observations · 0.24 pair observations per 100 analyzed battles
49.3%
Toxapex
Toxapex324 recorded pair observations · 0.22 pair observations per 100 analyzed battles
44.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1333 recorded pair observations · 0.89 pair observations per 100 analyzed battles
45.2%
Gholdengo
Gholdengo1058 recorded pair observations · 0.71 pair observations per 100 analyzed battles
46.5%
Kingambit
Kingambit1017 recorded pair observations · 0.68 pair observations per 100 analyzed battles
43.2%
Gliscor
Gliscor805 recorded pair observations · 0.54 pair observations per 100 analyzed battles
48.1%
Dragonite
Dragonite794 recorded pair observations · 0.53 pair observations per 100 analyzed battles
46.1%
Corviknight
Corviknight740 recorded pair observations · 0.50 pair observations per 100 analyzed battles
46.2%
Dragapult
Dragapult730 recorded pair observations · 0.49 pair observations per 100 analyzed battles
47.0%
Iron Valiant
Iron Valiant687 recorded pair observations · 0.46 pair observations per 100 analyzed battles
42.2%
Ogerpon-Wellspring
Ogerpon-Wellspring685 recorded pair observations · 0.46 pair observations per 100 analyzed battles
43.9%
Zamazenta-*
Zamazenta-*662 recorded pair observations · 0.44 pair observations per 100 analyzed battles
44.6%
Hatterene
Hatterene581 recorded pair observations · 0.39 pair observations per 100 analyzed battles
45.1%
Alomomola
Alomomola568 recorded pair observations · 0.38 pair observations per 100 analyzed battles
48.4%
Raging Bolt
Raging Bolt541 recorded pair observations · 0.36 pair observations per 100 analyzed battles
46.4%
Cinderace
Cinderace520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
44.6%
Slowking-Galar
Slowking-Galar505 recorded pair observations · 0.34 pair observations per 100 analyzed battles
43.4%
Ceruledge
Ceruledge489 recorded pair observations · 0.33 pair observations per 100 analyzed battles
50.9%
Glimmora
Glimmora475 recorded pair observations · 0.32 pair observations per 100 analyzed battles
47.0%
Darkrai
Darkrai473 recorded pair observations · 0.32 pair observations per 100 analyzed battles
44.8%
Samurott-Hisui
Samurott-Hisui466 recorded pair observations · 0.31 pair observations per 100 analyzed battles
45.3%
Iron Treads
Iron Treads464 recorded pair observations · 0.31 pair observations per 100 analyzed battles
44.2%

Higher Win-rate Partners

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

Iron Crown
Iron Crown396 recorded pair observations · 0.27 pair observations per 100 analyzed battles
56.6%
Ogerpon-Wellspring
Ogerpon-Wellspring591 recorded pair observations · 0.40 pair observations per 100 analyzed battles
54.5%
Iron Hands
Iron Hands172 recorded pair observations · 0.12 pair observations per 100 analyzed battles
53.5%
Kommo-o
Kommo-o378 recorded pair observations · 0.25 pair observations per 100 analyzed battles
52.9%
Great Tusk
Great Tusk1219 recorded pair observations · 0.82 pair observations per 100 analyzed battles
52.7%
Pecharunt
Pecharunt229 recorded pair observations · 0.15 pair observations per 100 analyzed battles
52.4%
Hatterene
Hatterene592 recorded pair observations · 0.40 pair observations per 100 analyzed battles
52.2%
Glimmora
Glimmora728 recorded pair observations · 0.49 pair observations per 100 analyzed battles
51.6%
Blastoise
Blastoise183 recorded pair observations · 0.12 pair observations per 100 analyzed battles
51.4%
Zamazenta-*
Zamazenta-*211 recorded pair observations · 0.14 pair observations per 100 analyzed battles
51.2%

Lower Win-rate Partners

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

Heatran
Heatran181 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.2%
Alomomola
Alomomola281 recorded pair observations · 0.19 pair observations per 100 analyzed battles
42.7%
Skeledirge
Skeledirge224 recorded pair observations · 0.15 pair observations per 100 analyzed battles
43.3%
Pelipper
Pelipper182 recorded pair observations · 0.12 pair observations per 100 analyzed battles
43.4%
Garchomp
Garchomp276 recorded pair observations · 0.18 pair observations per 100 analyzed battles
43.5%
Clodsire
Clodsire190 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.2%
Scizor
Scizor165 recorded pair observations · 0.11 pair observations per 100 analyzed battles
44.2%
Maushold
Maushold205 recorded pair observations · 0.14 pair observations per 100 analyzed battles
44.4%
Toxapex
Toxapex324 recorded pair observations · 0.22 pair observations per 100 analyzed battles
44.4%
Slowking-Galar
Slowking-Galar184 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.6%

Higher Win-rate Opponent Teams

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

Deoxys-Speed
Deoxys-Speed273 recorded pair observations · 0.18 pair observations per 100 analyzed battles
53.9%
Toxapex
Toxapex227 recorded pair observations · 0.15 pair observations per 100 analyzed battles
53.3%
Greninja-*
Greninja-*153 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.6%
Ursaluna
Ursaluna155 recorded pair observations · 0.10 pair observations per 100 analyzed battles
51.0%
Ceruledge
Ceruledge489 recorded pair observations · 0.33 pair observations per 100 analyzed battles
50.9%
Pelipper
Pelipper242 recorded pair observations · 0.16 pair observations per 100 analyzed battles
50.4%
Serperior
Serperior159 recorded pair observations · 0.11 pair observations per 100 analyzed battles
50.3%
Ninetales
Ninetales152 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.0%
Weavile
Weavile150 recorded pair observations · 0.10 pair observations per 100 analyzed battles
50.0%
Blissey
Blissey151 recorded pair observations · 0.10 pair observations per 100 analyzed battles
49.7%

Lower Win-rate Opponent Teams

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

Heatran
Heatran227 recorded pair observations · 0.15 pair observations per 100 analyzed battles
35.2%
Iron Moth
Iron Moth420 recorded pair observations · 0.28 pair observations per 100 analyzed battles
37.4%
Enamorus
Enamorus170 recorded pair observations · 0.11 pair observations per 100 analyzed battles
40.0%
Rillaboom
Rillaboom381 recorded pair observations · 0.26 pair observations per 100 analyzed battles
40.2%
Weezing-Galar
Weezing-Galar212 recorded pair observations · 0.14 pair observations per 100 analyzed battles
40.6%
Ting-Lu
Ting-Lu400 recorded pair observations · 0.27 pair observations per 100 analyzed battles
42.0%
Iron Valiant
Iron Valiant687 recorded pair observations · 0.46 pair observations per 100 analyzed battles
42.2%
Clodsire
Clodsire177 recorded pair observations · 0.12 pair observations per 100 analyzed battles
42.4%
Garganacl
Garganacl311 recorded pair observations · 0.21 pair observations per 100 analyzed battles
42.4%
Landorus-Therian
Landorus-Therian428 recorded pair observations · 0.29 pair observations per 100 analyzed battles
42.5%