Ed
Updated 2 days agoSteamSteamOtherOtherC100%

11bqck クラシック移行中

Angel Devil Kingdom
Rank 36MR 906#626,754
Last 101–9-31Last 206–14-12
Winrate
29%
17W · 41L · 58 stored
Ranked matches
58
selected mode
Wins
17
Ranked
Losses
41
Ranked
Peak MR
937
Ed

Ranked MR · Ed

58 local · 71 imported · 114 on chart · 58 battles stored

Latest game

DefeatRanked

Replay not requested
Ed
11bqck クラシック移行中 · Ed
Ryu
Opponent · Ryuきなこもち

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
11bqck クラシック移行中’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
Habit11bqck クラシック移行中LegendsDifference LessLegendsMore
SA322.7%33.7%-10.9%
SA142.4%33.3%+9.1%
Corner pressure5.2011.75-6.55
Drive Impact gauge6.7%1.7%+5.0%
SA227.3%23.2%+4.1%
Drive Rush (parry)2.9%6.8%-3.9%
Drive Rush (cancel)32.2%35.3%-3.1%
CA7.6%9.8%-2.3%
Drive Parry3.101.92+1.18
Drive Guard11.8%12.9%-1.2%
Got thrown2.902.20+0.70
Time cornered8.408.93-0.53
Perfect Parry0.300.79-0.49
Drive Impact0.700.22+0.48
Got Punish Countered0.400.10+0.30
Drive Reversal0.500.22+0.28
Punish Counters landed0.400.14+0.26
Drive Arts18.3%18.1%+0.2%
Throws2.702.53+0.17
Throw techs0.400.53-0.13
Stuns landed0.100.06+0.04
Got stunned0.000.04-0.04
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. Compare decisions across wins and losses

    Recent stored ranked sample: 17 wins in 58 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: 17 wins in 58 games
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.7 · reference 0.22

    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 0.7 · reference 0.22
    • Drive Impact gauge: profile 6.7% · reference 1.7%
  3. Review close-range choices

    Throws: profile 2.7 · reference 2.53

    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
    • Throws: profile 2.7 · reference 2.53
    • Throw techs: profile 0.4 · reference 0.53

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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Separate a tendency from a one-off event

    Recent stored ranked sample: 17 wins in 58 games

    Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

    Try this

    Use the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.

    Supporting stats
    • Recent stored ranked sample: 17 wins in 58 games
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.7 · reference 0.22

    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 0.7 · reference 0.22
    • Drive Impact gauge: profile 6.7% · reference 1.7%
  3. Test the close-range pattern

    Throws: profile 2.7 · reference 2.53

    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
    • Throws: profile 2.7 · reference 2.53
    • Throw techs: profile 0.4 · reference 0.53

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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free

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