Ed
Updated 8 hours agoSteamSteamNew ZealandNew ZealandC100%

Gone

Purple Flame of Power
Rank 36MR 1,700#34,778
Last 104–6-13Last 2010–10+7
Winrate
48%
188W · 200L · 388 stored
Ranked matches
388
selected mode
Wins
188
Ranked
Losses
200
Ranked
Peak MR
1,768
Ed

Ranked MR · Ed

386 local · 589 imported · 925 on chart · 496 battles stored

Latest game

DefeatRanked

Replay not requested
Ed
Gone · Ed
Luke
Opponent · LukeHeritic

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
Gone’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
HabitGoneLegendsDifference LessLegendsMore
SA241.1%23.2%+18.0%
Drive Rush (cancel)17.6%35.3%-17.7%
SA122.2%33.3%-11.1%
Drive Arts28.0%18.1%+9.9%
SA326.7%33.7%-7.0%
Corner pressure8.3011.75-3.45
Drive Guard16.1%12.9%+3.2%
Drive Impact gauge4.4%1.7%+2.8%
Drive Parry3.201.92+1.28
Throws1.902.53-0.63
Drive Rush (parry)7.2%6.8%+0.4%
Time cornered8.508.93-0.43
Got thrown2.502.20+0.30
Perfect Parry0.500.79-0.29
Drive Reversal0.000.22-0.22
Drive Impact0.400.22+0.18
Throw techs0.700.53+0.17
CA10.0%9.8%+0.2%
Got Punish Countered0.200.10+0.10
Punish Counters landed0.200.14+0.06
Got stunned0.100.04+0.06
Stuns landed0.100.06+0.04
Throw parries0.200.21-0.01
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. Find the cause of punish events

    Got Punish Countered: profile 0.3 · 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
    • Got Punish Countered: profile 0.3 · reference 0.11
    • Punish Counters landed: profile 0.2 · reference 0.11
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.5 · 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 0.5 · reference 0.2
    • Drive Impact gauge: profile 4.4% · reference 1.5%
  3. Review close-range choices

    Throw techs: profile 0.6 · reference 0.47

    Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.

    Try this

    Replay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.

    Supporting stats
    • Throw techs: profile 0.6 · reference 0.47
    • Throws: profile 2 · reference 2.6
    • Got thrown: profile 2 · reference 2.18

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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.5 · 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 0.5 · reference 0.2
    • Drive Impact gauge: profile 4.4% · reference 1.5%
  2. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.3 · reference 0.11

    Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.

    Try this

    Test one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.

    Supporting stats
    • Got Punish Countered: profile 0.3 · reference 0.11
    • Punish Counters landed: profile 0.2 · reference 0.11
  3. Test the close-range pattern

    Throw techs: profile 0.6 · reference 0.47

    Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

    Try this

    If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

    Supporting stats
    • Throw techs: profile 0.6 · reference 0.47
    • Throws: profile 2 · reference 2.6
    • Got thrown: profile 2 · reference 2.18

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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free

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