Lily
Updated 2 weeks agoCrossPlatformCrossPlatformJapanJapanClub · pogamogganC100%

arts

Tonight@midnight=die
Rank 41
MR 1,701#28,611
Last 103–7-35Last 2010–10-11
Winrate
54%
58W · 50L · 108 stored
Ranked matches
108
selected mode
Wins
58
Ranked
Losses
50
Ranked
Peak MR
1,735
Lily

Ranked MR · Lily

108 local · 0 imported · 108 on chart · 155 battles stored

Latest game

DefeatRanked

Replay not requested
Lily
arts · Lily
Ryu
Opponent · Ryuatom

Playstyle reference

Habits vs top 30 Lily

Benchmark refreshed Sep 15, 2026, 10:23 PM

Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details

Lily
arts’s Lily benchmark

Compared with the average habits of the top 30 sampled Lily players.

SBI_Hibiki 2210 · Mira 2202 · シュラリス 2179 · ド)アットティム 2172 · itagaki_ 2163 · +25 others

Largest absolute differences first23 habits
HabitartsLegendsDifference LessLegendsMore
SA314.7%24.1%-9.5%
Drive Impact gauge7.9%2.1%+5.7%
SA228.4%23.6%+4.9%
SA148.3%43.9%+4.4%
Drive Arts18.3%21.8%-3.6%
Drive Rush (cancel)26.3%29.4%-3.2%
Time cornered7.7010.55-2.85
Drive Guard11.0%12.6%-1.6%
Drive Rush (parry)4.9%6.0%-1.1%
Corner pressure8.208.87-0.67
Drive Impact0.900.24+0.66
Drive Parry1.301.96-0.66
Perfect Parry0.200.65-0.45
Punish Counters landed0.600.17+0.43
Throw techs0.200.55-0.35
CA8.6%8.4%+0.2%
Got thrown2.102.35-0.25
Throws2.302.52-0.22
Drive Reversal0.500.32+0.18
Got Punish Countered0.300.14+0.16
Throw parries0.200.26-0.06
Got stunned0.100.06+0.04
Stuns landed0.100.08+0.02
FROM STATS TO PRACTICE

Match plan

Latest 100

Turn this profile’s habits and results into ideas to test. Habits cover all characters; the selected character sets the comparison group.

Checking for a saved match plan…

Uses public profile stats with OpenRouter’s free AI models. Plans are shared and saved for reuse. Suggestions are hypotheses, not replay analysis.

Saved match plans

Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.

Lily · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.9 · reference 0.26

    Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.

    Try this

    Record Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.

    Supporting stats
    • Drive Impact: profile 0.9 · reference 0.26
    • Drive Impact gauge: profile 7.9% · reference 2.1%
  2. Review defensive decisions

    Drive Parry: profile 1.3 · reference 2.05

    Compare five defensive situations: what did the opponent do, what did you choose, and what happened? Low parry or throw-tech counts alone do not establish a weakness.

    Try this

    Record two different options from one troublesome situation. Practice identifying them and choosing a response, then review whether the same decision improves in your next set.

    Supporting stats
    • Drive Parry: profile 1.3 · reference 2.05
    • Perfect Parry: profile 0.2 · reference 0.76
    • Drive Reversal: profile 0.5 · reference 0.33
  3. Compare decisions across wins and losses

    Recent stored ranked sample: 46 wins in 82 games

    Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.

    Try this

    Write down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.

    Supporting stats
    • Recent stored ranked sample: 46 wins in 82 games

AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.

Data saved Sep 6, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.9 · reference 0.26

    Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.

    Try this

    Revisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.

    Supporting stats
    • Drive Impact: profile 0.9 · reference 0.26
    • Drive Impact gauge: profile 7.9% · reference 2.1%
  2. Probe defense before committing

    Perfect Parry: profile 0.2 · reference 0.76

    Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.

    Try this

    Try your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.

    Supporting stats
    • Perfect Parry: profile 0.2 · reference 0.76
    • Drive Reversal: profile 0.5 · reference 0.33
  3. Use matchup records as scouting leads

    vs Yasmine: 87 wins in 161 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.

    Supporting stats
    • vs Yasmine: 87 wins in 161 games
    • vs Ryu: 62 wins in 113 games
    • vs Luke: 59 wins in 110 games

AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.

Data saved Sep 6, 2026 · AI: dots-studio/dots-3-note-preview:free

Public data

Public statistics and datasets

Results from 155 of 155 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
83games
Losses
72games
Draws
0games
Games
155games
Win rate (draw = half win)
53.55%
Field definitions 5 fields
Wins
Wins · games. wins
Losses
Losses · games. losses
Draws
Draws · games. draws
Games
Games · games. total
Win rate (draw = half win)
Win rate (draw = half win) · percent. winRate Displayed to two decimal places; JSON retains full precision.

Current saved character ratings

6 rows

Scroll if needed to compare columns. Expand Details for the remaining fields.

Current saved character ratings. 6 rows on page 1; 6 rows total.
CharacterMRMR pointsLPLP pointsDetails
Ryu0-1
Details for Current saved character ratings, row 1
Character ID
1
Ken0-1
Details for Current saved character ratings, row 2
Character ID
10
Lily1,701469,813
Details for Current saved character ratings, row 3
Character ID
12
Mai0-1
Details for Current saved character ratings, row 4
Character ID
28
Elena0-1
Details for Current saved character ratings, row 5
Character ID
29
Ingrid0-1
Details for Current saved character ratings, row 6
Character ID
32
Field definitions 4 fields
Character ID
Character ID · identifier. characterId
Character
Character · text. character
MR
Master Rating · MR points. mr
LP
League Points · LP points. lp

Last saved update: .

Latest saved profile; local results cover at most the newest 10,000 stored matches across all modes.

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