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

Landorus-Therian

Tier B

OU (Over Used)

9.68%Usage Rate
53.11%Win Rate
33.34%Lead Rate
1285Avg Rating

28896 recorded team appearances · 15348 wins · 13548 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

U-turn Recorded use in 11719 of 28896 distinct recorded team appearances (40.6%) 6441 winning team uses of 11719 recorded team uses
55.0%
Earthquake Recorded use in 8671 of 28896 distinct recorded team appearances (30.0%) 4790 winning team uses of 8671 recorded team uses
55.2%
Stealth Rock Recorded use in 8106 of 28896 distinct recorded team appearances (28.1%) 4389 winning team uses of 8106 recorded team uses
54.1%
Taunt Recorded use in 3453 of 28896 distinct recorded team appearances (11.9%) 1883 winning team uses of 3453 recorded team uses
54.5%
Stone Edge Recorded use in 2617 of 28896 distinct recorded team appearances (9.1%) 1283 winning team uses of 2617 recorded team uses
49.0%
Earth Power Recorded use in 2456 of 28896 distinct recorded team appearances (8.5%) 1385 winning team uses of 2456 recorded team uses
56.4%
Grass Knot Recorded use in 527 of 28896 distinct recorded team appearances (1.8%) 285 winning team uses of 527 recorded team uses
54.1%
Smack Down Recorded use in 426 of 28896 distinct recorded team appearances (1.5%) 223 winning team uses of 426 recorded team uses
52.3%
Rock Slide Recorded use in 325 of 28896 distinct recorded team appearances (1.1%) 157 winning team uses of 325 recorded team uses
48.3%
Swords Dance Recorded use in 272 of 28896 distinct recorded team appearances (0.9%) 120 winning team uses of 272 recorded team uses
44.1%

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 8.11 52.40 74640 6050 Observed
Period 2: 2026/09/30 15:45–2026/10/03 23:48 JST 9.99 52.72 74640 7456 Observed
Period 3: 2026/10/03 23:48–2026/10/07 09:55 JST 9.77 53.28 74640 7293 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST 10.85 53.86 74640 8097 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 6.32 58.87 60196 3805 Observed
~R1156 7.91 56.01 59416 4699 Observed
~R1268 9.90 51.60 59484 5891 Observed
~R1398 11.69 51.13 59960 7011 Observed
R1398~ 12.59 51.42 59504 7490 Observed

Landorus-Therian Observed Statistics

Performance Metrics

Landorus-Therian has a reported usage rate of 9.68% and win rate of 53.11% in OU (Over Used) (displayed tier: B). The report covers 09/26/2026 to 10/10/2026, with 149,280 recorded battles. 15,348 wins and 13,548 losses (28,896 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 8.11% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,640 team slots) and 10.85% 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 +2.74 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 52.40% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=6,050 recorded appearances) and 53.86% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=8,097 recorded appearances), a change of +1.46 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 6.32% (~R1084; n=60,196 team slots) to 12.59% (R1398~; n=59,504 team slots), a spread of 6.27 percentage points. Overall usage was 9.68%. 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, U-turn has the largest recorded team-use count (11,719; 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: Kingambit: 55.2% wins in 8,728 recorded pair observations; Gholdengo: 53.8% wins in 7,372 recorded pair observations; Cinderace: 54.3% wins in 6,170 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: 63.9% wins in 341 recorded pair observations; Cloyster: 62.3% wins in 353 recorded pair observations; Gengar: 61.8% wins in 513 recorded pair observations. Returned lower-win-rate opponent group: Latios: 46.3% wins in 488 recorded pair observations; Hydrapple: 47.3% wins in 676 recorded pair observations; Iron Crown: 47.4% wins in 1,166 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%

Kingambit
Kingambit8728 recorded pair observations · 5.85 pair observations per 100 analyzed battles
55.2%
Gholdengo
Gholdengo7372 recorded pair observations · 4.94 pair observations per 100 analyzed battles
53.8%
Cinderace
Cinderace6170 recorded pair observations · 4.13 pair observations per 100 analyzed battles
54.3%
Ogerpon-Wellspring
Ogerpon-Wellspring5923 recorded pair observations · 3.97 pair observations per 100 analyzed battles
54.6%
Iron Valiant
Iron Valiant5632 recorded pair observations · 3.77 pair observations per 100 analyzed battles
54.6%
Kyurem
Kyurem5372 recorded pair observations · 3.60 pair observations per 100 analyzed battles
55.5%
Samurott-Hisui
Samurott-Hisui4932 recorded pair observations · 3.30 pair observations per 100 analyzed battles
54.7%
Slowking-Galar
Slowking-Galar4840 recorded pair observations · 3.24 pair observations per 100 analyzed battles
54.1%
Hatterene
Hatterene4261 recorded pair observations · 2.85 pair observations per 100 analyzed battles
53.5%
Darkrai
Darkrai4057 recorded pair observations · 2.72 pair observations per 100 analyzed battles
54.2%
Dragapult
Dragapult4024 recorded pair observations · 2.70 pair observations per 100 analyzed battles
52.3%
Zamazenta-*
Zamazenta-*3691 recorded pair observations · 2.47 pair observations per 100 analyzed battles
54.8%
Great Tusk
Great Tusk3221 recorded pair observations · 2.16 pair observations per 100 analyzed battles
53.2%
Rillaboom
Rillaboom3009 recorded pair observations · 2.02 pair observations per 100 analyzed battles
52.5%
Raging Bolt
Raging Bolt2909 recorded pair observations · 1.95 pair observations per 100 analyzed battles
53.8%
Alomomola
Alomomola2785 recorded pair observations · 1.87 pair observations per 100 analyzed battles
51.4%
Primarina
Primarina2763 recorded pair observations · 1.85 pair observations per 100 analyzed battles
51.9%
Corviknight
Corviknight2657 recorded pair observations · 1.78 pair observations per 100 analyzed battles
49.4%
Iron Moth
Iron Moth2547 recorded pair observations · 1.71 pair observations per 100 analyzed battles
54.5%
Pecharunt
Pecharunt2441 recorded pair observations · 1.64 pair observations per 100 analyzed battles
54.0%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk8041 recorded pair observations · 5.39 pair observations per 100 analyzed battles
50.2%
Gholdengo
Gholdengo6156 recorded pair observations · 4.12 pair observations per 100 analyzed battles
51.5%
Kingambit
Kingambit5760 recorded pair observations · 3.86 pair observations per 100 analyzed battles
50.8%
Ogerpon-Wellspring
Ogerpon-Wellspring4313 recorded pair observations · 2.89 pair observations per 100 analyzed battles
50.0%
Dragonite
Dragonite4185 recorded pair observations · 2.80 pair observations per 100 analyzed battles
50.7%
Zamazenta-*
Zamazenta-*4154 recorded pair observations · 2.78 pair observations per 100 analyzed battles
48.7%
Iron Valiant
Iron Valiant4010 recorded pair observations · 2.69 pair observations per 100 analyzed battles
50.0%
Dragapult
Dragapult3987 recorded pair observations · 2.67 pair observations per 100 analyzed battles
54.1%
Gliscor
Gliscor3830 recorded pair observations · 2.57 pair observations per 100 analyzed battles
53.0%
Corviknight
Corviknight3733 recorded pair observations · 2.50 pair observations per 100 analyzed battles
52.9%
Raging Bolt
Raging Bolt3544 recorded pair observations · 2.37 pair observations per 100 analyzed battles
49.0%
Hatterene
Hatterene3364 recorded pair observations · 2.25 pair observations per 100 analyzed battles
53.0%
Slowking-Galar
Slowking-Galar3339 recorded pair observations · 2.24 pair observations per 100 analyzed battles
51.4%
Cinderace
Cinderace3193 recorded pair observations · 2.14 pair observations per 100 analyzed battles
51.8%
Landorus-Therian
Landorus-Therian2990 recorded pair observations · 2.00 pair observations per 100 analyzed battles
50.0%
Alomomola
Alomomola2944 recorded pair observations · 1.97 pair observations per 100 analyzed battles
52.8%
Samurott-Hisui
Samurott-Hisui2943 recorded pair observations · 1.97 pair observations per 100 analyzed battles
52.3%
Kyurem
Kyurem2828 recorded pair observations · 1.89 pair observations per 100 analyzed battles
51.1%
Iron Treads
Iron Treads2762 recorded pair observations · 1.85 pair observations per 100 analyzed battles
50.0%
Glimmora
Glimmora2553 recorded pair observations · 1.71 pair observations per 100 analyzed battles
52.0%

Higher Win-rate Partners

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

Moltres-Galar
Moltres-Galar386 recorded pair observations · 0.26 pair observations per 100 analyzed battles
60.1%
Okidogi
Okidogi431 recorded pair observations · 0.29 pair observations per 100 analyzed battles
58.5%
Iron Crown
Iron Crown1098 recorded pair observations · 0.74 pair observations per 100 analyzed battles
55.7%
Hoopa-Unbound
Hoopa-Unbound1306 recorded pair observations · 0.87 pair observations per 100 analyzed battles
55.5%
Kyurem
Kyurem5372 recorded pair observations · 3.60 pair observations per 100 analyzed battles
55.5%
Cresselia
Cresselia332 recorded pair observations · 0.22 pair observations per 100 analyzed battles
55.4%
Kingambit
Kingambit8728 recorded pair observations · 5.85 pair observations per 100 analyzed battles
55.2%
Walking Wake
Walking Wake1164 recorded pair observations · 0.78 pair observations per 100 analyzed battles
54.9%
Ceruledge
Ceruledge1579 recorded pair observations · 1.06 pair observations per 100 analyzed battles
54.8%
Dragonite
Dragonite2362 recorded pair observations · 1.58 pair observations per 100 analyzed battles
54.8%

Lower Win-rate Partners

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

Gliscor
Gliscor635 recorded pair observations · 0.43 pair observations per 100 analyzed battles
46.5%
Arcanine-Hisui
Arcanine-Hisui351 recorded pair observations · 0.24 pair observations per 100 analyzed battles
47.3%
Excadrill
Excadrill505 recorded pair observations · 0.34 pair observations per 100 analyzed battles
48.9%
Dondozo
Dondozo602 recorded pair observations · 0.40 pair observations per 100 analyzed battles
49.0%
Ting-Lu
Ting-Lu343 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.3%
Corviknight
Corviknight2657 recorded pair observations · 1.78 pair observations per 100 analyzed battles
49.4%
Garchomp
Garchomp1226 recorded pair observations · 0.82 pair observations per 100 analyzed battles
49.4%
Tyranitar
Tyranitar835 recorded pair observations · 0.56 pair observations per 100 analyzed battles
49.7%
Enamorus
Enamorus461 recorded pair observations · 0.31 pair observations per 100 analyzed battles
49.9%
Pelipper
Pelipper359 recorded pair observations · 0.24 pair observations per 100 analyzed battles
50.1%

Higher Win-rate Opponent Teams

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

Zoroark-Hisui
Zoroark-Hisui341 recorded pair observations · 0.23 pair observations per 100 analyzed battles
63.9%
Cloyster
Cloyster353 recorded pair observations · 0.24 pair observations per 100 analyzed battles
62.3%
Gengar
Gengar513 recorded pair observations · 0.34 pair observations per 100 analyzed battles
61.8%
Espeon
Espeon320 recorded pair observations · 0.21 pair observations per 100 analyzed battles
61.2%
Arcanine-Hisui
Arcanine-Hisui390 recorded pair observations · 0.26 pair observations per 100 analyzed battles
60.8%
Metagross
Metagross370 recorded pair observations · 0.25 pair observations per 100 analyzed battles
60.8%
Mimikyu
Mimikyu369 recorded pair observations · 0.25 pair observations per 100 analyzed battles
60.7%
Milotic
Milotic325 recorded pair observations · 0.22 pair observations per 100 analyzed battles
59.4%
Greninja-*
Greninja-*748 recorded pair observations · 0.50 pair observations per 100 analyzed battles
58.7%
Regieleki
Regieleki315 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.7%

Lower Win-rate Opponent Teams

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

Latios
Latios488 recorded pair observations · 0.33 pair observations per 100 analyzed battles
46.3%
Hydrapple
Hydrapple676 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.3%
Iron Crown
Iron Crown1166 recorded pair observations · 0.78 pair observations per 100 analyzed battles
47.4%
Zamazenta-*
Zamazenta-*4154 recorded pair observations · 2.78 pair observations per 100 analyzed battles
48.7%
Raging Bolt
Raging Bolt3544 recorded pair observations · 2.37 pair observations per 100 analyzed battles
49.0%
Hawlucha
Hawlucha736 recorded pair observations · 0.49 pair observations per 100 analyzed battles
49.3%
Ogerpon
Ogerpon1192 recorded pair observations · 0.80 pair observations per 100 analyzed battles
49.4%
Armarouge
Armarouge390 recorded pair observations · 0.26 pair observations per 100 analyzed battles
49.7%
Sinistcha
Sinistcha592 recorded pair observations · 0.40 pair observations per 100 analyzed battles
49.8%
Darkrai
Darkrai2518 recorded pair observations · 1.69 pair observations per 100 analyzed battles
49.9%