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

Latias

Tier E

OU (Over Used)

1.19%Usage Rate
50.49%Win Rate
6.03%Lead Rate
1245Avg Rating

3563 recorded team appearances · 1799 wins · 1764 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Calm Mind Recorded use in 1088 of 3563 distinct recorded team appearances (30.5%) 521 winning team uses of 1088 recorded team uses
47.9%
Stored Power Recorded use in 654 of 3563 distinct recorded team appearances (18.4%) 391 winning team uses of 654 recorded team uses
59.8%
Agility Recorded use in 527 of 3563 distinct recorded team appearances (14.8%) 277 winning team uses of 527 recorded team uses
52.6%
Aura Sphere Recorded use in 328 of 3563 distinct recorded team appearances (9.2%) 175 winning team uses of 328 recorded team uses
53.4%
Draining Kiss Recorded use in 297 of 3563 distinct recorded team appearances (8.3%) 151 winning team uses of 297 recorded team uses
50.8%
Recover Recorded use in 275 of 3563 distinct recorded team appearances (7.7%) 151 winning team uses of 275 recorded team uses
54.9%
Mist Ball Recorded use in 259 of 3563 distinct recorded team appearances (7.3%) 103 winning team uses of 259 recorded team uses
39.8%
Draco Meteor Recorded use in 148 of 3563 distinct recorded team appearances (4.2%) 68 winning team uses of 148 recorded team uses
45.9%
Thunderbolt Recorded use in 116 of 3563 distinct recorded team appearances (3.3%) 58 winning team uses of 116 recorded team uses
50.0%
Ice Beam Recorded use in 114 of 3563 distinct recorded team appearances (3.2%) 50 winning team uses of 114 recorded team uses
43.9%

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 1.22 52.08 74644 914 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 1.27 49.74 74642 951 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:56 JST 1.20 51.68 74642 892 Observed
Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST 1.08 48.26 74642 806 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 1.14 50.36 60202 689 Observed
~R1156 1.18 50.14 59416 700 Observed
~R1268 1.32 50.32 59484 783 Observed
~R1398 1.25 51.53 59962 751 Observed
R1398~ 1.08 50.00 59506 640 Observed

Latias Observed Statistics

Performance Metrics

Latias has a reported usage rate of 1.19% and win rate of 50.49% in OU (Over Used) (displayed tier: E). The report covers 09/26/2026 to 10/10/2026, with 149,285 recorded battles. 1,799 wins and 1,764 losses (3,563 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 1.22% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=74,644 team slots) and 1.08% 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 -0.14 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 52.08% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:46 JST; n=914 recorded appearances) and 48.26% in the last available period (Period 4: 2026/10/07 09:56–2026/10/10 23:06 JST; n=806 recorded appearances), a change of -3.82 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 1.08% (R1398~; n=59,506 team slots) to 1.32% (~R1268; n=59,484 team slots), a spread of 0.24 percentage points. Overall usage was 1.19%. 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, Calm Mind has the largest recorded team-use count (1,088; 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: 55.3% wins in 633 recorded pair observations; Kingambit: 50.8% wins in 624 recorded pair observations; Ogerpon-Wellspring: 58.4% wins in 534 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: Tyranitar: 55.9% wins in 145 recorded pair observations; Toxapex: 54.9% wins in 153 recorded pair observations; Clefable: 54.3% wins in 175 recorded pair observations. Returned lower-win-rate opponent group: Garchomp: 44.7% wins in 179 recorded pair observations; Darkrai: 45.9% wins in 292 recorded pair observations; Dragonite: 46.1% wins in 520 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 Tusk633 recorded pair observations · 0.42 pair observations per 100 analyzed battles
55.3%
Kingambit
Kingambit624 recorded pair observations · 0.42 pair observations per 100 analyzed battles
50.8%
Ogerpon-Wellspring
Ogerpon-Wellspring534 recorded pair observations · 0.36 pair observations per 100 analyzed battles
58.4%
Zamazenta-*
Zamazenta-*504 recorded pair observations · 0.34 pair observations per 100 analyzed battles
54.6%
Ninetales-Alola
Ninetales-Alola388 recorded pair observations · 0.26 pair observations per 100 analyzed battles
61.3%
Scizor
Scizor388 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.4%
Pelipper
Pelipper369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
51.8%
Gliscor
Gliscor367 recorded pair observations · 0.25 pair observations per 100 analyzed battles
56.1%
Heatran
Heatran362 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.9%
Tyranitar
Tyranitar354 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.7%
Serperior
Serperior342 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.4%
Blaziken
Blaziken337 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.3%
Gholdengo
Gholdengo320 recorded pair observations · 0.21 pair observations per 100 analyzed battles
55.3%
Latios
Latios314 recorded pair observations · 0.21 pair observations per 100 analyzed battles
49.7%
Dragonite
Dragonite312 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.0%
Glimmora
Glimmora310 recorded pair observations · 0.21 pair observations per 100 analyzed battles
51.9%
Alomomola
Alomomola304 recorded pair observations · 0.20 pair observations per 100 analyzed battles
51.3%
Darkrai
Darkrai303 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.2%
Iron Valiant
Iron Valiant281 recorded pair observations · 0.19 pair observations per 100 analyzed battles
53.7%
Tornadus-Therian
Tornadus-Therian252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
49.2%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk948 recorded pair observations · 0.64 pair observations per 100 analyzed battles
50.0%
Gholdengo
Gholdengo711 recorded pair observations · 0.48 pair observations per 100 analyzed battles
48.4%
Kingambit
Kingambit691 recorded pair observations · 0.46 pair observations per 100 analyzed battles
46.2%
Dragonite
Dragonite520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
46.1%
Gliscor
Gliscor508 recorded pair observations · 0.34 pair observations per 100 analyzed battles
49.8%
Dragapult
Dragapult489 recorded pair observations · 0.33 pair observations per 100 analyzed battles
52.8%
Zamazenta-*
Zamazenta-*485 recorded pair observations · 0.32 pair observations per 100 analyzed battles
49.7%
Ogerpon-Wellspring
Ogerpon-Wellspring473 recorded pair observations · 0.32 pair observations per 100 analyzed battles
46.3%
Iron Valiant
Iron Valiant472 recorded pair observations · 0.32 pair observations per 100 analyzed battles
49.1%
Corviknight
Corviknight436 recorded pair observations · 0.29 pair observations per 100 analyzed battles
53.2%
Raging Bolt
Raging Bolt435 recorded pair observations · 0.29 pair observations per 100 analyzed battles
47.4%
Hatterene
Hatterene414 recorded pair observations · 0.28 pair observations per 100 analyzed battles
47.1%
Slowking-Galar
Slowking-Galar397 recorded pair observations · 0.27 pair observations per 100 analyzed battles
50.9%
Samurott-Hisui
Samurott-Hisui357 recorded pair observations · 0.24 pair observations per 100 analyzed battles
48.5%
Alomomola
Alomomola353 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.0%
Cinderace
Cinderace348 recorded pair observations · 0.23 pair observations per 100 analyzed battles
46.5%
Landorus-Therian
Landorus-Therian342 recorded pair observations · 0.23 pair observations per 100 analyzed battles
46.2%
Kyurem
Kyurem334 recorded pair observations · 0.22 pair observations per 100 analyzed battles
49.4%
Iron Treads
Iron Treads320 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.9%
Glimmora
Glimmora318 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.3%

Higher Win-rate Partners

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

Ninetales-Alola
Ninetales-Alola388 recorded pair observations · 0.26 pair observations per 100 analyzed battles
61.3%
Klefki
Klefki163 recorded pair observations · 0.11 pair observations per 100 analyzed battles
59.5%
Iron Moth
Iron Moth245 recorded pair observations · 0.16 pair observations per 100 analyzed battles
58.8%
Ogerpon-Wellspring
Ogerpon-Wellspring534 recorded pair observations · 0.36 pair observations per 100 analyzed battles
58.4%
Maushold
Maushold218 recorded pair observations · 0.15 pair observations per 100 analyzed battles
58.3%
Cinderace
Cinderace243 recorded pair observations · 0.16 pair observations per 100 analyzed battles
56.8%
Iron Treads
Iron Treads216 recorded pair observations · 0.14 pair observations per 100 analyzed battles
56.5%
Gliscor
Gliscor367 recorded pair observations · 0.25 pair observations per 100 analyzed battles
56.1%
Kyurem
Kyurem200 recorded pair observations · 0.13 pair observations per 100 analyzed battles
56.0%
Gholdengo
Gholdengo320 recorded pair observations · 0.21 pair observations per 100 analyzed battles
55.3%

Lower Win-rate Partners

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

Corviknight
Corviknight147 recorded pair observations · 0.10 pair observations per 100 analyzed battles
44.2%
Hatterene
Hatterene155 recorded pair observations · 0.10 pair observations per 100 analyzed battles
45.8%
Samurott-Hisui
Samurott-Hisui189 recorded pair observations · 0.13 pair observations per 100 analyzed battles
46.6%
Scizor
Scizor388 recorded pair observations · 0.26 pair observations per 100 analyzed battles
47.4%
Darkrai
Darkrai303 recorded pair observations · 0.20 pair observations per 100 analyzed battles
48.2%
Tornadus-Therian
Tornadus-Therian252 recorded pair observations · 0.17 pair observations per 100 analyzed battles
49.2%
Blaziken
Blaziken337 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.3%
Serperior
Serperior342 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.4%
Zapdos
Zapdos214 recorded pair observations · 0.14 pair observations per 100 analyzed battles
49.5%
Latios
Latios314 recorded pair observations · 0.21 pair observations per 100 analyzed battles
49.7%

Higher Win-rate Opponent Teams

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

Tyranitar
Tyranitar145 recorded pair observations · 0.10 pair observations per 100 analyzed battles
55.9%
Toxapex
Toxapex153 recorded pair observations · 0.10 pair observations per 100 analyzed battles
54.9%
Clefable
Clefable175 recorded pair observations · 0.12 pair observations per 100 analyzed battles
54.3%
Corviknight
Corviknight436 recorded pair observations · 0.29 pair observations per 100 analyzed battles
53.2%
Pelipper
Pelipper191 recorded pair observations · 0.13 pair observations per 100 analyzed battles
52.9%
Dragapult
Dragapult489 recorded pair observations · 0.33 pair observations per 100 analyzed battles
52.8%
Garganacl
Garganacl188 recorded pair observations · 0.13 pair observations per 100 analyzed battles
51.6%
Walking Wake
Walking Wake251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
51.4%
Alomomola
Alomomola353 recorded pair observations · 0.24 pair observations per 100 analyzed battles
51.0%
Iron Treads
Iron Treads320 recorded pair observations · 0.21 pair observations per 100 analyzed battles
50.9%

Lower Win-rate Opponent Teams

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

Garchomp
Garchomp179 recorded pair observations · 0.12 pair observations per 100 analyzed battles
44.7%
Darkrai
Darkrai292 recorded pair observations · 0.20 pair observations per 100 analyzed battles
45.9%
Dragonite
Dragonite520 recorded pair observations · 0.35 pair observations per 100 analyzed battles
46.1%
Deoxys-Speed
Deoxys-Speed158 recorded pair observations · 0.11 pair observations per 100 analyzed battles
46.2%
Kingambit
Kingambit691 recorded pair observations · 0.46 pair observations per 100 analyzed battles
46.2%
Landorus-Therian
Landorus-Therian342 recorded pair observations · 0.23 pair observations per 100 analyzed battles
46.2%
Ogerpon-Wellspring
Ogerpon-Wellspring473 recorded pair observations · 0.32 pair observations per 100 analyzed battles
46.3%
Cinderace
Cinderace348 recorded pair observations · 0.23 pair observations per 100 analyzed battles
46.5%
Iron Moth
Iron Moth275 recorded pair observations · 0.18 pair observations per 100 analyzed battles
46.9%
Hatterene
Hatterene414 recorded pair observations · 0.28 pair observations per 100 analyzed battles
47.1%