Ed
Updated 4 hours agoSteamSteamJapanJapanClub · TAKAGIdojoC100%

あでりい

Don't Cry Over Spilled Booze
Rank 36MR 2,229#35
Last 108–2+16Last 2016–4+52
Winrate
87%
103W · 15L · 118 stored
Ranked matches
118
selected mode
Wins
103
Ranked
Losses
15
Ranked
Peak MR
2,387
Ed

Ranked MR · Ed

226 local · 110 imported · 284 on chart · 931 battles stored

Latest game

VictoryRanked

Replay not requested
Ed
あでりい · Ed
Guile
Opponent · Guileおのとら

Playstyle reference

Habits vs top 30 Ed

Benchmark refreshed Sep 12, 2026, 10:17 PM

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

Ed
あでりい’s Ed benchmark

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

あでりい 2203 · Sahara 2187 · ONYX | えびはら 2178 · Yassa 2151 · hinao 2139 · +25 others

Largest absolute differences first23 habits
HabitあでりいLegendsDifference LessLegendsMore
Drive Rush (cancel)19.0%35.3%-16.4%
SA323.3%33.7%-10.4%
SA140.5%33.3%+7.2%
SA228.4%23.2%+5.3%
Drive Guard17.9%12.9%+5.0%
Drive Arts22.5%18.1%+4.4%
CA7.8%9.8%-2.1%
Corner pressure9.7011.75-2.05
Drive Rush (parry)8.8%6.8%+2.0%
Time cornered10.208.93+1.27
Drive Parry2.901.92+0.98
Perfect Parry1.300.79+0.51
Drive Reversal0.500.22+0.28
Drive Impact gauge1.4%1.7%-0.2%
Throws2.702.53+0.17
Throw techs0.400.53-0.13
Got thrown2.102.20-0.10
Throw parries0.300.21+0.09
Drive Impact0.300.22+0.08
Punish Counters landed0.200.14+0.06
Stuns landed0.100.06+0.04
Got stunned0.000.04-0.04
Got Punish Countered0.100.10-0.00
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.

Ed · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.1 · reference 0.2

    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 0.1 · reference 0.2
    • Drive Impact gauge: profile 0.8% · reference 1.5%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.1 · reference 0.11

    Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.

    Try this

    Recreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.

    Supporting stats
    • Punish Counters landed: profile 0.1 · reference 0.11
    • Got Punish Countered: profile 0.1 · reference 0.11
  3. Give each meter spend a purpose

    SA1: profile 22.3% · reference 33.1%

    Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.

    Try this

    Practice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.

    Supporting stats
    • SA1: profile 22.3% · reference 33.1%
    • SA2: profile 43.8% · reference 27.6%
    • CA: profile 3.3% · reference 9.3%

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 0.1 · reference 0.2

    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 0.1 · reference 0.2
    • Drive Impact gauge: profile 0.8% · reference 1.5%
  2. Probe defense before committing

    Drive Parry: profile 1.6 · reference 1.77

    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
    • Drive Parry: profile 1.6 · reference 1.77
    • Perfect Parry: profile 1 · reference 0.76
    • Drive Reversal: profile 0.4 · reference 0.2
  3. Use matchup records as scouting leads

    vs Mai: 91 wins in 153 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 Mai: 91 wins in 153 games
    • vs Jamie: 101 wins in 133 games
    • vs Ryu: 93 wins in 115 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