Last Updated: 10/10/2026 14:12 [UTC]

Ribombee

Tier E

OU (Over Used)

2.04%Usage Rate
50.29%Win Rate
61.80%Lead Rate
1266Avg Rating

6105 recorded team appearances · 3070 wins · 3035 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Sticky Web Recorded use in 3449 of 6105 distinct recorded team appearances (56.5%) 1816 winning team uses of 3449 recorded team uses
52.7%
Moonblast Recorded use in 2309 of 6105 distinct recorded team appearances (37.8%) 1232 winning team uses of 2309 recorded team uses
53.4%
Stun Spore Recorded use in 1618 of 6105 distinct recorded team appearances (26.5%) 849 winning team uses of 1618 recorded team uses
52.5%
Skill Swap Recorded use in 482 of 6105 distinct recorded team appearances (7.9%) 264 winning team uses of 482 recorded team uses
54.8%
Quiver Dance Recorded use in 284 of 6105 distinct recorded team appearances (4.7%) 132 winning team uses of 284 recorded team uses
46.5%
Trick Recorded use in 241 of 6105 distinct recorded team appearances (3.9%) 102 winning team uses of 241 recorded team uses
42.3%
U-turn Recorded use in 207 of 6105 distinct recorded team appearances (3.4%) 88 winning team uses of 207 recorded team uses
42.5%
Bug Buzz Recorded use in 187 of 6105 distinct recorded team appearances (3.1%) 95 winning team uses of 187 recorded team uses
50.8%
Psychic Noise Recorded use in 168 of 6105 distinct recorded team appearances (2.8%) 79 winning team uses of 168 recorded team uses
47.0%
Tailwind Recorded use in 114 of 6105 distinct recorded team appearances (1.9%) 64 winning team uses of 114 recorded team uses
56.1%

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 2.17 49.66 74642 1617 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.90 50.99 74642 1418 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 1.74 49.62 74640 1302 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 2.37 50.79 74640 1768 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.97 51.10 60200 1184 Observed
~R1156 1.98 50.38 59416 1179 Observed
~R1268 1.75 49.62 59484 1040 Observed
~R1398 1.98 52.49 59960 1187 Observed
R1398~ 2.55 48.32 59504 1515 Observed

Ribombee Observed Statistics

Performance Metrics

Ribombee has a reported usage rate of 2.04% and win rate of 50.29% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 3,070 wins and 3,035 losses (6,105 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 2.17% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 2.37% 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 +0.20 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 49.66% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=1,617 recorded appearances) and 50.79% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=1,768 recorded appearances), a change of +1.13 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.

Rating-band Observations

Across 5 available rating bands, usage ranged from 1.75% (~R1268; n=59,484 team slots) to 2.55% (R1398~; n=59,504 team slots), a spread of 0.80 percentage points. Overall usage was 2.04%. 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, Sticky Web has the largest recorded team-use count (3,449; 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: 54.3% wins in 2,892 recorded pair observations; Great Tusk: 54.0% wins in 2,256 recorded pair observations; Kingambit: 52.9% wins in 1,403 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: Rotom-Wash: 56.5% wins in 161 recorded pair observations; Deoxys-Speed: 55.5% wins in 281 recorded pair observations; Garganacl: 55.1% wins in 341 recorded pair observations. Returned lower-win-rate opponent group: Excadrill: 38.8% wins in 152 recorded pair observations; Clefable: 43.1% wins in 334 recorded pair observations; Hoopa-Unbound: 44.2% wins in 156 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
Gholdengo2892 recorded pair observations · 1.94 pair observations per 100 analyzed battles
54.3%
Great Tusk
Great Tusk2256 recorded pair observations · 1.51 pair observations per 100 analyzed battles
54.0%
Kingambit
Kingambit1403 recorded pair observations · 0.94 pair observations per 100 analyzed battles
52.9%
Raging Bolt
Raging Bolt1150 recorded pair observations · 0.77 pair observations per 100 analyzed battles
57.0%
Iron Moth
Iron Moth952 recorded pair observations · 0.64 pair observations per 100 analyzed battles
54.2%
Iron Valiant
Iron Valiant785 recorded pair observations · 0.53 pair observations per 100 analyzed battles
52.9%
Ogerpon-Wellspring
Ogerpon-Wellspring780 recorded pair observations · 0.52 pair observations per 100 analyzed battles
53.5%
Dragonite
Dragonite757 recorded pair observations · 0.51 pair observations per 100 analyzed battles
50.7%
Cinderace
Cinderace654 recorded pair observations · 0.44 pair observations per 100 analyzed battles
51.1%
Ceruledge
Ceruledge595 recorded pair observations · 0.40 pair observations per 100 analyzed battles
56.5%
Serperior
Serperior531 recorded pair observations · 0.36 pair observations per 100 analyzed battles
48.4%
Samurott-Hisui
Samurott-Hisui521 recorded pair observations · 0.35 pair observations per 100 analyzed battles
48.2%
Dragapult
Dragapult493 recorded pair observations · 0.33 pair observations per 100 analyzed battles
47.7%
Mimikyu
Mimikyu455 recorded pair observations · 0.30 pair observations per 100 analyzed battles
49.2%
Kommo-o
Kommo-o446 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.9%
Glimmora
Glimmora443 recorded pair observations · 0.30 pair observations per 100 analyzed battles
54.2%
Greninja-*
Greninja-*368 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.9%
Enamorus
Enamorus353 recorded pair observations · 0.24 pair observations per 100 analyzed battles
54.4%
Ogerpon-Cornerstone
Ogerpon-Cornerstone331 recorded pair observations · 0.22 pair observations per 100 analyzed battles
57.4%
Kyurem
Kyurem320 recorded pair observations · 0.21 pair observations per 100 analyzed battles
54.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk1638 recorded pair observations · 1.10 pair observations per 100 analyzed battles
52.2%
Gholdengo
Gholdengo1207 recorded pair observations · 0.81 pair observations per 100 analyzed battles
52.1%
Kingambit
Kingambit1203 recorded pair observations · 0.81 pair observations per 100 analyzed battles
47.6%
Iron Valiant
Iron Valiant873 recorded pair observations · 0.58 pair observations per 100 analyzed battles
51.1%
Dragonite
Dragonite860 recorded pair observations · 0.58 pair observations per 100 analyzed battles
45.0%
Ogerpon-Wellspring
Ogerpon-Wellspring839 recorded pair observations · 0.56 pair observations per 100 analyzed battles
48.4%
Dragapult
Dragapult820 recorded pair observations · 0.55 pair observations per 100 analyzed battles
49.1%
Zamazenta-*
Zamazenta-*797 recorded pair observations · 0.53 pair observations per 100 analyzed battles
45.4%
Corviknight
Corviknight784 recorded pair observations · 0.53 pair observations per 100 analyzed battles
47.3%
Gliscor
Gliscor748 recorded pair observations · 0.50 pair observations per 100 analyzed battles
52.5%
Slowking-Galar
Slowking-Galar698 recorded pair observations · 0.47 pair observations per 100 analyzed battles
50.0%
Raging Bolt
Raging Bolt687 recorded pair observations · 0.46 pair observations per 100 analyzed battles
50.1%
Hatterene
Hatterene677 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.3%
Cinderace
Cinderace668 recorded pair observations · 0.45 pair observations per 100 analyzed battles
45.5%
Samurott-Hisui
Samurott-Hisui636 recorded pair observations · 0.43 pair observations per 100 analyzed battles
47.0%
Landorus-Therian
Landorus-Therian608 recorded pair observations · 0.41 pair observations per 100 analyzed battles
45.6%
Alomomola
Alomomola604 recorded pair observations · 0.40 pair observations per 100 analyzed battles
50.0%
Iron Treads
Iron Treads581 recorded pair observations · 0.39 pair observations per 100 analyzed battles
44.6%
Glimmora
Glimmora577 recorded pair observations · 0.39 pair observations per 100 analyzed battles
46.3%
Kyurem
Kyurem559 recorded pair observations · 0.37 pair observations per 100 analyzed battles
53.9%

Higher Win-rate Partners

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

Ogerpon-Cornerstone
Ogerpon-Cornerstone331 recorded pair observations · 0.22 pair observations per 100 analyzed battles
57.4%
Darkrai
Darkrai164 recorded pair observations · 0.11 pair observations per 100 analyzed battles
57.3%
Raging Bolt
Raging Bolt1150 recorded pair observations · 0.77 pair observations per 100 analyzed battles
57.0%
Ceruledge
Ceruledge595 recorded pair observations · 0.40 pair observations per 100 analyzed battles
56.5%
Zamazenta-*
Zamazenta-*233 recorded pair observations · 0.16 pair observations per 100 analyzed battles
55.8%
Toxapex
Toxapex171 recorded pair observations · 0.11 pair observations per 100 analyzed battles
55.6%
Excadrill
Excadrill177 recorded pair observations · 0.12 pair observations per 100 analyzed battles
55.4%
Manaphy
Manaphy216 recorded pair observations · 0.14 pair observations per 100 analyzed battles
55.1%
Greninja-*
Greninja-*368 recorded pair observations · 0.25 pair observations per 100 analyzed battles
54.9%
Zapdos-Galar
Zapdos-Galar215 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.9%

Lower Win-rate Partners

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

Gliscor
Gliscor251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
39.4%
Alomomola
Alomomola181 recorded pair observations · 0.12 pair observations per 100 analyzed battles
39.8%
Hatterene
Hatterene157 recorded pair observations · 0.11 pair observations per 100 analyzed battles
43.3%
Meowscarada
Meowscarada155 recorded pair observations · 0.10 pair observations per 100 analyzed battles
43.9%
Quaquaval
Quaquaval185 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.3%
Yanmega
Yanmega199 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.7%
Cloyster
Cloyster170 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.9%
Kommo-o
Kommo-o446 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.9%
Pecharunt
Pecharunt192 recorded pair observations · 0.13 pair observations per 100 analyzed battles
46.9%
Rillaboom
Rillaboom163 recorded pair observations · 0.11 pair observations per 100 analyzed battles
47.2%

Higher Win-rate Opponent Teams

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

Rotom-Wash
Rotom-Wash161 recorded pair observations · 0.11 pair observations per 100 analyzed battles
56.5%
Deoxys-Speed
Deoxys-Speed281 recorded pair observations · 0.19 pair observations per 100 analyzed battles
55.5%
Garganacl
Garganacl341 recorded pair observations · 0.23 pair observations per 100 analyzed battles
55.1%
Lokix
Lokix216 recorded pair observations · 0.14 pair observations per 100 analyzed battles
54.6%
Blissey
Blissey166 recorded pair observations · 0.11 pair observations per 100 analyzed battles
54.2%
Kyurem
Kyurem559 recorded pair observations · 0.37 pair observations per 100 analyzed battles
53.9%
Greninja-*
Greninja-*146 recorded pair observations · 0.10 pair observations per 100 analyzed battles
53.4%
Meowscarada
Meowscarada274 recorded pair observations · 0.18 pair observations per 100 analyzed battles
53.3%
Gliscor
Gliscor748 recorded pair observations · 0.50 pair observations per 100 analyzed battles
52.5%
Great Tusk
Great Tusk1638 recorded pair observations · 1.10 pair observations per 100 analyzed battles
52.2%

Lower Win-rate Opponent Teams

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

Excadrill
Excadrill152 recorded pair observations · 0.10 pair observations per 100 analyzed battles
38.8%
Clefable
Clefable334 recorded pair observations · 0.22 pair observations per 100 analyzed battles
43.1%
Hoopa-Unbound
Hoopa-Unbound156 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.2%
Scizor
Scizor251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
44.2%
Enamorus
Enamorus189 recorded pair observations · 0.13 pair observations per 100 analyzed battles
44.4%
Iron Treads
Iron Treads581 recorded pair observations · 0.39 pair observations per 100 analyzed battles
44.6%
Ogerpon
Ogerpon241 recorded pair observations · 0.16 pair observations per 100 analyzed battles
44.8%
Dragonite
Dragonite860 recorded pair observations · 0.58 pair observations per 100 analyzed battles
45.0%
Clodsire
Clodsire184 recorded pair observations · 0.12 pair observations per 100 analyzed battles
45.1%
Hydrapple
Hydrapple159 recorded pair observations · 0.11 pair observations per 100 analyzed battles
45.3%