Last Updated: 10/10/2026 14:09 [UTC]

Ting-Lu

Tier C

OU (Over Used)

8.11%Usage Rate
52.26%Win Rate
21.67%Lead Rate
1273Avg Rating

24212 recorded team appearances · 12654 wins · 11558 losses · 09/26/2026–10/10/2026

Recorded Move Team Uses

Top 10 moves with 10+ recorded team uses

Stealth Rock Recorded use in 10101 of 24212 distinct recorded team appearances (41.7%) 5397 winning team uses of 10101 recorded team uses
53.4%
Earthquake Recorded use in 8479 of 24212 distinct recorded team appearances (35.0%) 4706 winning team uses of 8479 recorded team uses
55.5%
Ruination Recorded use in 7884 of 24212 distinct recorded team appearances (32.6%) 4165 winning team uses of 7884 recorded team uses
52.8%
Whirlwind Recorded use in 5852 of 24212 distinct recorded team appearances (24.2%) 3145 winning team uses of 5852 recorded team uses
53.7%
Spikes Recorded use in 3378 of 24212 distinct recorded team appearances (14.0%) 1787 winning team uses of 3378 recorded team uses
52.9%
Heavy Slam Recorded use in 730 of 24212 distinct recorded team appearances (3.0%) 356 winning team uses of 730 recorded team uses
48.8%
Payback Recorded use in 558 of 24212 distinct recorded team appearances (2.3%) 316 winning team uses of 558 recorded team uses
56.6%
Taunt Recorded use in 460 of 24212 distinct recorded team appearances (1.9%) 232 winning team uses of 460 recorded team uses
50.4%
Rest Recorded use in 449 of 24212 distinct recorded team appearances (1.9%) 239 winning team uses of 449 recorded team uses
53.2%
Body Press Recorded use in 273 of 24212 distinct recorded team appearances (1.1%) 111 winning team uses of 273 recorded team uses
40.7%

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 7.70 52.51 74642 5749 Observed
Period 2: 2026/09/30 15:46–2026/10/03 23:49 JST 8.97 52.22 74642 6693 Observed
Period 3: 2026/10/03 23:49–2026/10/07 09:55 JST 8.30 52.12 74640 6192 Observed
Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST 7.47 52.22 74640 5578 Observed
Rating bands
Period / bandUsage %Win %Team slotsRecorded appearances with win/lossStatus
~R1084 5.71 57.55 60200 3437 Observed
~R1156 7.29 54.09 59416 4332 Observed
~R1268 8.18 51.61 59484 4867 Observed
~R1398 10.12 50.23 59960 6066 Observed
R1398~ 9.26 50.34 59504 5510 Observed

Ting-Lu Observed Statistics

Performance Metrics

Ting-Lu has a reported usage rate of 8.11% and win rate of 52.26% in OU (Over Used) (displayed tier: C). The report covers 09/26/2026 to 10/10/2026, with 149,282 recorded battles. 12,654 wins and 11,558 losses (24,212 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 7.70% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,642 team slots) and 7.47% 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 -0.23 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 52.51% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=5,749 recorded appearances) and 52.22% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:06 JST; n=5,578 recorded appearances), a change of -0.29 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 5.71% (~R1084; n=60,200 team slots) to 10.12% (~R1398; n=59,960 team slots), a spread of 4.41 percentage points. Overall usage was 8.11%. 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, Stealth Rock has the largest recorded team-use count (10,101; 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: 53.0% wins in 8,423 recorded pair observations; Gliscor: 50.9% wins in 6,677 recorded pair observations; Dragonite: 52.4% wins in 6,613 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: Metagross: 67.3% wins in 272 recorded pair observations; Polteageist: 64.2% wins in 260 recorded pair observations; Azumarill: 61.5% wins in 265 recorded pair observations. Returned lower-win-rate opponent group: Sinistcha: 45.2% wins in 458 recorded pair observations; Cresselia: 46.1% wins in 715 recorded pair observations; Barraskewda: 46.7% wins in 550 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
Gholdengo8423 recorded pair observations · 5.64 pair observations per 100 analyzed battles
53.0%
Gliscor
Gliscor6677 recorded pair observations · 4.47 pair observations per 100 analyzed battles
50.9%
Dragonite
Dragonite6613 recorded pair observations · 4.43 pair observations per 100 analyzed battles
52.4%
Zamazenta-*
Zamazenta-*6212 recorded pair observations · 4.16 pair observations per 100 analyzed battles
53.1%
Ogerpon-Wellspring
Ogerpon-Wellspring5060 recorded pair observations · 3.39 pair observations per 100 analyzed battles
52.7%
Corviknight
Corviknight4900 recorded pair observations · 3.28 pair observations per 100 analyzed battles
53.5%
Dragapult
Dragapult4752 recorded pair observations · 3.18 pair observations per 100 analyzed battles
52.1%
Kingambit
Kingambit3639 recorded pair observations · 2.44 pair observations per 100 analyzed battles
51.4%
Great Tusk
Great Tusk3608 recorded pair observations · 2.42 pair observations per 100 analyzed battles
52.2%
Pecharunt
Pecharunt3585 recorded pair observations · 2.40 pair observations per 100 analyzed battles
52.8%
Slowking-Galar
Slowking-Galar3529 recorded pair observations · 2.36 pair observations per 100 analyzed battles
52.9%
Darkrai
Darkrai3483 recorded pair observations · 2.33 pair observations per 100 analyzed battles
54.2%
Alomomola
Alomomola2874 recorded pair observations · 1.93 pair observations per 100 analyzed battles
50.6%
Cinderace
Cinderace2501 recorded pair observations · 1.68 pair observations per 100 analyzed battles
53.9%
Iron Crown
Iron Crown2368 recorded pair observations · 1.59 pair observations per 100 analyzed battles
52.0%
Iron Valiant
Iron Valiant2366 recorded pair observations · 1.58 pair observations per 100 analyzed battles
52.2%
Kyurem
Kyurem2270 recorded pair observations · 1.52 pair observations per 100 analyzed battles
56.6%
Raging Bolt
Raging Bolt2056 recorded pair observations · 1.38 pair observations per 100 analyzed battles
53.5%
Clefable
Clefable1874 recorded pair observations · 1.26 pair observations per 100 analyzed battles
49.8%
Zapdos
Zapdos1838 recorded pair observations · 1.23 pair observations per 100 analyzed battles
51.4%

Frequent Matchups

Most common opponents · bars centered at 50%

Great Tusk
Great Tusk6745 recorded pair observations · 4.52 pair observations per 100 analyzed battles
49.0%
Gholdengo
Gholdengo5170 recorded pair observations · 3.46 pair observations per 100 analyzed battles
50.2%
Kingambit
Kingambit4818 recorded pair observations · 3.23 pair observations per 100 analyzed battles
48.9%
Dragonite
Dragonite3516 recorded pair observations · 2.36 pair observations per 100 analyzed battles
51.6%
Ogerpon-Wellspring
Ogerpon-Wellspring3502 recorded pair observations · 2.35 pair observations per 100 analyzed battles
48.2%
Zamazenta-*
Zamazenta-*3386 recorded pair observations · 2.27 pair observations per 100 analyzed battles
47.4%
Gliscor
Gliscor3308 recorded pair observations · 2.22 pair observations per 100 analyzed battles
52.1%
Dragapult
Dragapult3251 recorded pair observations · 2.18 pair observations per 100 analyzed battles
53.2%
Iron Valiant
Iron Valiant3229 recorded pair observations · 2.16 pair observations per 100 analyzed battles
50.0%
Corviknight
Corviknight3119 recorded pair observations · 2.09 pair observations per 100 analyzed battles
52.0%
Raging Bolt
Raging Bolt2900 recorded pair observations · 1.94 pair observations per 100 analyzed battles
49.3%
Slowking-Galar
Slowking-Galar2845 recorded pair observations · 1.91 pair observations per 100 analyzed battles
49.3%
Hatterene
Hatterene2800 recorded pair observations · 1.88 pair observations per 100 analyzed battles
48.3%
Cinderace
Cinderace2681 recorded pair observations · 1.80 pair observations per 100 analyzed battles
48.2%
Landorus-Therian
Landorus-Therian2508 recorded pair observations · 1.68 pair observations per 100 analyzed battles
49.7%
Alomomola
Alomomola2506 recorded pair observations · 1.68 pair observations per 100 analyzed battles
52.0%
Samurott-Hisui
Samurott-Hisui2485 recorded pair observations · 1.66 pair observations per 100 analyzed battles
47.9%
Kyurem
Kyurem2351 recorded pair observations · 1.57 pair observations per 100 analyzed battles
47.3%
Iron Treads
Iron Treads2260 recorded pair observations · 1.51 pair observations per 100 analyzed battles
47.1%
Glimmora
Glimmora2175 recorded pair observations · 1.46 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%

Hoopa-Unbound
Hoopa-Unbound308 recorded pair observations · 0.21 pair observations per 100 analyzed battles
58.8%
Volcanion
Volcanion255 recorded pair observations · 0.17 pair observations per 100 analyzed battles
58.4%
Moltres
Moltres1118 recorded pair observations · 0.75 pair observations per 100 analyzed battles
58.0%
Iron Hands
Iron Hands452 recorded pair observations · 0.30 pair observations per 100 analyzed battles
57.3%
Regieleki
Regieleki356 recorded pair observations · 0.24 pair observations per 100 analyzed battles
56.7%
Kyurem
Kyurem2270 recorded pair observations · 1.52 pair observations per 100 analyzed battles
56.6%
Rotom-Wash
Rotom-Wash519 recorded pair observations · 0.35 pair observations per 100 analyzed battles
56.3%
Iron Treads
Iron Treads782 recorded pair observations · 0.52 pair observations per 100 analyzed battles
55.2%
Ogerpon
Ogerpon770 recorded pair observations · 0.52 pair observations per 100 analyzed battles
54.3%
Walking Wake
Walking Wake1245 recorded pair observations · 0.83 pair observations per 100 analyzed battles
54.3%

Lower Win-rate Partners

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

Blissey
Blissey684 recorded pair observations · 0.46 pair observations per 100 analyzed battles
46.4%
Toxapex
Toxapex934 recorded pair observations · 0.63 pair observations per 100 analyzed battles
47.0%
Lokix
Lokix675 recorded pair observations · 0.45 pair observations per 100 analyzed battles
47.9%
Clodsire
Clodsire259 recorded pair observations · 0.17 pair observations per 100 analyzed battles
48.3%
Ceruledge
Ceruledge801 recorded pair observations · 0.54 pair observations per 100 analyzed battles
48.6%
Landorus-Therian
Landorus-Therian343 recorded pair observations · 0.23 pair observations per 100 analyzed battles
49.3%
Swampert
Swampert286 recorded pair observations · 0.19 pair observations per 100 analyzed battles
49.3%
Latios
Latios493 recorded pair observations · 0.33 pair observations per 100 analyzed battles
49.7%
Clefable
Clefable1874 recorded pair observations · 1.26 pair observations per 100 analyzed battles
49.8%
Heatran
Heatran666 recorded pair observations · 0.45 pair observations per 100 analyzed battles
50.5%

Higher Win-rate Opponent Teams

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

Metagross
Metagross272 recorded pair observations · 0.18 pair observations per 100 analyzed battles
67.3%
Polteageist
Polteageist260 recorded pair observations · 0.17 pair observations per 100 analyzed battles
64.2%
Azumarill
Azumarill265 recorded pair observations · 0.18 pair observations per 100 analyzed battles
61.5%
Gengar
Gengar422 recorded pair observations · 0.28 pair observations per 100 analyzed battles
60.7%
Gyarados
Gyarados251 recorded pair observations · 0.17 pair observations per 100 analyzed battles
60.6%
Cloyster
Cloyster287 recorded pair observations · 0.19 pair observations per 100 analyzed battles
59.2%
Zoroark-Hisui
Zoroark-Hisui314 recorded pair observations · 0.21 pair observations per 100 analyzed battles
59.2%
Espeon
Espeon289 recorded pair observations · 0.19 pair observations per 100 analyzed battles
58.8%
Greninja-*
Greninja-*647 recorded pair observations · 0.43 pair observations per 100 analyzed battles
58.7%
Talonflame
Talonflame299 recorded pair observations · 0.20 pair observations per 100 analyzed battles
58.5%

Lower Win-rate Opponent Teams

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

Sinistcha
Sinistcha458 recorded pair observations · 0.31 pair observations per 100 analyzed battles
45.2%
Cresselia
Cresselia715 recorded pair observations · 0.48 pair observations per 100 analyzed battles
46.1%
Barraskewda
Barraskewda550 recorded pair observations · 0.37 pair observations per 100 analyzed battles
46.7%
Volcanion
Volcanion450 recorded pair observations · 0.30 pair observations per 100 analyzed battles
46.9%
Iron Treads
Iron Treads2260 recorded pair observations · 1.51 pair observations per 100 analyzed battles
47.1%
Slither Wing
Slither Wing377 recorded pair observations · 0.25 pair observations per 100 analyzed battles
47.2%
Kyurem
Kyurem2351 recorded pair observations · 1.57 pair observations per 100 analyzed battles
47.3%
Zamazenta-*
Zamazenta-*3386 recorded pair observations · 2.27 pair observations per 100 analyzed battles
47.4%
Walking Wake
Walking Wake1618 recorded pair observations · 1.08 pair observations per 100 analyzed battles
47.5%
Ogerpon
Ogerpon989 recorded pair observations · 0.66 pair observations per 100 analyzed battles
47.6%