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

Alomomola

Tier C

OU (Over Used)

10.03%Usage Rate
51.00%Win Rate
7.10%Lead Rate
1265Avg Rating

29955 recorded team appearances · 15277 wins · 14678 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Flip Turn Recorded use in 15519 of 29955 distinct recorded team appearances (51.8%) 8258 winning team uses of 15519 recorded team uses
53.2%
Wish Recorded use in 8126 of 29955 distinct recorded team appearances (27.1%) 4027 winning team uses of 8126 recorded team uses
49.6%
Scald Recorded use in 5060 of 29955 distinct recorded team appearances (16.9%) 2392 winning team uses of 5060 recorded team uses
47.3%
Protect Recorded use in 4213 of 29955 distinct recorded team appearances (14.1%) 1931 winning team uses of 4213 recorded team uses
45.8%
Mirror Coat Recorded use in 2505 of 29955 distinct recorded team appearances (8.4%) 1272 winning team uses of 2505 recorded team uses
50.8%
Body Slam Recorded use in 1186 of 29955 distinct recorded team appearances (4.0%) 567 winning team uses of 1186 recorded team uses
47.8%
Tickle Recorded use in 986 of 29955 distinct recorded team appearances (3.3%) 511 winning team uses of 986 recorded team uses
51.8%
Aqua Jet Recorded use in 886 of 29955 distinct recorded team appearances (3.0%) 413 winning team uses of 886 recorded team uses
46.6%
Play Rough Recorded use in 540 of 29955 distinct recorded team appearances (1.8%) 248 winning team uses of 540 recorded team uses
45.9%
Whirlpool Recorded use in 174 of 29955 distinct recorded team appearances (0.6%) 61 winning team uses of 174 recorded team uses
35.1%

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 9.94 51.33 74640 7419 Observed
Period 2: 2026/09/30 15:45–2026/10/03 23:48 JST 10.06 50.35 74640 7510 Observed
Period 3: 2026/10/03 23:48–2026/10/07 09:55 JST 10.28 50.82 74640 7676 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST 9.85 51.52 74640 7350 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 7.36 57.90 60196 4432 Observed
~R1156 9.12 51.86 59416 5418 Observed
~R1268 10.85 49.85 59484 6452 Observed
~R1398 11.98 48.67 59960 7185 Observed
R1398~ 10.87 49.29 59504 6468 Observed

Alomomola Observed Statistics

Performance Metrics

Alomomola has a reported usage rate of 10.03% and win rate of 51.00% in OU (Over Used) (displayed tier: C). The report covers 09/26/2026 to 10/10/2026, with 149,280 recorded battles. 15,277 wins and 14,678 losses (29,955 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 9.94% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,640 team slots) and 9.85% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=74,640 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 51.33% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=7,419 recorded appearances) and 51.52% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=7,350 recorded appearances), a change of +0.19 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 7.36% (~R1084; n=60,196 team slots) to 11.98% (~R1398; n=59,960 team slots), a spread of 4.62 percentage points. Overall usage was 10.03%. 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, Flip Turn has the largest recorded team-use count (15,519; 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: 51.6% wins in 8,725 recorded pair observations; Corviknight: 50.3% wins in 6,071 recorded pair observations; Weezing-Galar: 53.1% wins in 5,171 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: Zoroark-Hisui: 62.3% wins in 377 recorded pair observations; Cloyster: 61.5% wins in 395 recorded pair observations; Gengar: 61.1% wins in 553 recorded pair observations. Returned lower-win-rate opponent group: Cresselia: 42.2% wins in 798 recorded pair observations; Manaphy: 44.6% wins in 325 recorded pair observations; Iron Moth: 44.7% wins in 2,307 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 Tusk8725 recorded pair observations · 5.84 pair observations per 100 analyzed battles
51.6%
Corviknight
Corviknight6071 recorded pair observations · 4.07 pair observations per 100 analyzed battles
50.3%
Weezing-Galar
Weezing-Galar5171 recorded pair observations · 3.46 pair observations per 100 analyzed battles
53.1%
Gholdengo
Gholdengo5012 recorded pair observations · 3.36 pair observations per 100 analyzed battles
50.4%
Lokix
Lokix4447 recorded pair observations · 2.98 pair observations per 100 analyzed battles
53.9%
Slowking-Galar
Slowking-Galar4372 recorded pair observations · 2.93 pair observations per 100 analyzed battles
49.3%
Gliscor
Gliscor4300 recorded pair observations · 2.88 pair observations per 100 analyzed battles
50.0%
Iron Treads
Iron Treads4191 recorded pair observations · 2.81 pair observations per 100 analyzed battles
52.6%
Cinderace
Cinderace4113 recorded pair observations · 2.76 pair observations per 100 analyzed battles
52.2%
Zamazenta-*
Zamazenta-*4009 recorded pair observations · 2.69 pair observations per 100 analyzed battles
53.6%
Iron Valiant
Iron Valiant3978 recorded pair observations · 2.66 pair observations per 100 analyzed battles
52.4%
Dragapult
Dragapult3487 recorded pair observations · 2.34 pair observations per 100 analyzed battles
49.6%
Kingambit
Kingambit3356 recorded pair observations · 2.25 pair observations per 100 analyzed battles
50.9%
Darkrai
Darkrai3143 recorded pair observations · 2.11 pair observations per 100 analyzed battles
50.9%
Pecharunt
Pecharunt2945 recorded pair observations · 1.97 pair observations per 100 analyzed battles
54.3%
Ogerpon
Ogerpon2918 recorded pair observations · 1.95 pair observations per 100 analyzed battles
53.4%
Ting-Lu
Ting-Lu2874 recorded pair observations · 1.93 pair observations per 100 analyzed battles
50.6%
Landorus-Therian
Landorus-Therian2785 recorded pair observations · 1.87 pair observations per 100 analyzed battles
51.4%
Tornadus-Therian
Tornadus-Therian2709 recorded pair observations · 1.81 pair observations per 100 analyzed battles
53.1%
Raging Bolt
Raging Bolt2615 recorded pair observations · 1.75 pair observations per 100 analyzed battles
51.3%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk8408 recorded pair observations · 5.63 pair observations per 100 analyzed battles
48.7%
Gholdengo
Gholdengo6208 recorded pair observations · 4.16 pair observations per 100 analyzed battles
48.3%
Kingambit
Kingambit6018 recorded pair observations · 4.03 pair observations per 100 analyzed battles
47.2%
Ogerpon-Wellspring
Ogerpon-Wellspring4357 recorded pair observations · 2.92 pair observations per 100 analyzed battles
44.7%
Dragonite
Dragonite4271 recorded pair observations · 2.86 pair observations per 100 analyzed battles
49.9%
Zamazenta-*
Zamazenta-*4180 recorded pair observations · 2.80 pair observations per 100 analyzed battles
46.6%
Gliscor
Gliscor4109 recorded pair observations · 2.75 pair observations per 100 analyzed battles
50.9%
Dragapult
Dragapult4072 recorded pair observations · 2.73 pair observations per 100 analyzed battles
51.3%
Iron Valiant
Iron Valiant4041 recorded pair observations · 2.71 pair observations per 100 analyzed battles
49.3%
Corviknight
Corviknight3761 recorded pair observations · 2.52 pair observations per 100 analyzed battles
52.6%
Slowking-Galar
Slowking-Galar3444 recorded pair observations · 2.31 pair observations per 100 analyzed battles
47.6%
Raging Bolt
Raging Bolt3440 recorded pair observations · 2.30 pair observations per 100 analyzed battles
45.9%
Hatterene
Hatterene3292 recorded pair observations · 2.21 pair observations per 100 analyzed battles
47.0%
Cinderace
Cinderace3220 recorded pair observations · 2.16 pair observations per 100 analyzed battles
50.0%
Alomomola
Alomomola3180 recorded pair observations · 2.13 pair observations per 100 analyzed battles
50.0%
Samurott-Hisui
Samurott-Hisui3001 recorded pair observations · 2.01 pair observations per 100 analyzed battles
48.0%
Landorus-Therian
Landorus-Therian2944 recorded pair observations · 1.97 pair observations per 100 analyzed battles
47.2%
Kyurem
Kyurem2842 recorded pair observations · 1.90 pair observations per 100 analyzed battles
45.2%
Iron Treads
Iron Treads2823 recorded pair observations · 1.89 pair observations per 100 analyzed battles
47.5%
Glimmora
Glimmora2644 recorded pair observations · 1.77 pair observations per 100 analyzed battles
47.0%

Higher Win-rate Partners

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

Skarmory
Skarmory627 recorded pair observations · 0.42 pair observations per 100 analyzed battles
58.5%
Hydreigon
Hydreigon822 recorded pair observations · 0.55 pair observations per 100 analyzed battles
56.2%
Tinkaton
Tinkaton544 recorded pair observations · 0.36 pair observations per 100 analyzed battles
55.5%
Pecharunt
Pecharunt2945 recorded pair observations · 1.97 pair observations per 100 analyzed battles
54.3%
Clodsire
Clodsire2003 recorded pair observations · 1.34 pair observations per 100 analyzed battles
54.2%
Ogerpon-Cornerstone
Ogerpon-Cornerstone701 recorded pair observations · 0.47 pair observations per 100 analyzed battles
54.2%
Enamorus
Enamorus1027 recorded pair observations · 0.69 pair observations per 100 analyzed battles
53.9%
Lokix
Lokix4447 recorded pair observations · 2.98 pair observations per 100 analyzed battles
53.9%
Mandibuzz
Mandibuzz1096 recorded pair observations · 0.73 pair observations per 100 analyzed battles
53.8%
Hydrapple
Hydrapple990 recorded pair observations · 0.66 pair observations per 100 analyzed battles
53.7%

Lower Win-rate Partners

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

Pelipper
Pelipper350 recorded pair observations · 0.23 pair observations per 100 analyzed battles
45.1%
Blaziken
Blaziken493 recorded pair observations · 0.33 pair observations per 100 analyzed battles
46.5%
Arcanine-Hisui
Arcanine-Hisui330 recorded pair observations · 0.22 pair observations per 100 analyzed battles
46.7%
Serperior
Serperior409 recorded pair observations · 0.27 pair observations per 100 analyzed battles
46.9%
Walking Wake
Walking Wake546 recorded pair observations · 0.37 pair observations per 100 analyzed battles
47.6%
Clefable
Clefable1285 recorded pair observations · 0.86 pair observations per 100 analyzed battles
47.7%
Ceruledge
Ceruledge1135 recorded pair observations · 0.76 pair observations per 100 analyzed battles
47.8%
Dragonite
Dragonite1909 recorded pair observations · 1.28 pair observations per 100 analyzed battles
48.2%
Garganacl
Garganacl1512 recorded pair observations · 1.01 pair observations per 100 analyzed battles
49.0%
Heatran
Heatran800 recorded pair observations · 0.54 pair observations per 100 analyzed battles
49.0%

Higher Win-rate Opponent Teams

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

Zoroark-Hisui
Zoroark-Hisui377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
62.3%
Cloyster
Cloyster395 recorded pair observations · 0.26 pair observations per 100 analyzed battles
61.5%
Gengar
Gengar553 recorded pair observations · 0.37 pair observations per 100 analyzed battles
61.1%
Greninja-*
Greninja-*773 recorded pair observations · 0.52 pair observations per 100 analyzed battles
60.8%
Gyarados
Gyarados329 recorded pair observations · 0.22 pair observations per 100 analyzed battles
60.5%
Metagross
Metagross380 recorded pair observations · 0.25 pair observations per 100 analyzed battles
59.7%
Arcanine-Hisui
Arcanine-Hisui399 recorded pair observations · 0.27 pair observations per 100 analyzed battles
58.1%
Espeon
Espeon331 recorded pair observations · 0.22 pair observations per 100 analyzed battles
58.0%
Milotic
Milotic313 recorded pair observations · 0.21 pair observations per 100 analyzed battles
57.5%
Mimikyu
Mimikyu339 recorded pair observations · 0.23 pair observations per 100 analyzed battles
57.5%

Lower Win-rate Opponent Teams

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

Cresselia
Cresselia798 recorded pair observations · 0.53 pair observations per 100 analyzed battles
42.2%
Manaphy
Manaphy325 recorded pair observations · 0.22 pair observations per 100 analyzed battles
44.6%
Iron Moth
Iron Moth2307 recorded pair observations · 1.55 pair observations per 100 analyzed battles
44.7%
Ogerpon-Wellspring
Ogerpon-Wellspring4357 recorded pair observations · 2.92 pair observations per 100 analyzed battles
44.7%
Kyurem
Kyurem2842 recorded pair observations · 1.90 pair observations per 100 analyzed battles
45.2%
Raging Bolt
Raging Bolt3440 recorded pair observations · 2.30 pair observations per 100 analyzed battles
45.9%
Iron Hands
Iron Hands553 recorded pair observations · 0.37 pair observations per 100 analyzed battles
46.3%
Kommo-o
Kommo-o523 recorded pair observations · 0.35 pair observations per 100 analyzed battles
46.5%
Ogerpon
Ogerpon1187 recorded pair observations · 0.80 pair observations per 100 analyzed battles
46.6%
Zamazenta-*
Zamazenta-*4180 recorded pair observations · 2.80 pair observations per 100 analyzed battles
46.6%