Ken
Updated 15 hours agoSteamSteamOtherOtherClub · 4FrameRampageC100%

PSYCHOROMANTIST

Practice Makes Perfect
Rank 36MR 1,609#73,293
Last 107–3+34Last 2013–7+56
Winrate
51%
71W · 68L · 139 stored
Ranked matches
139
selected mode
Wins
71
Ranked
Losses
68
Ranked
Peak MR
1,612
Ken

Ranked MR · Ken

139 local · 151 imported · 287 on chart · 166 battles stored

Latest game

VictoryRanked

Replay not requested
Ken
PSYCHOROMANTIST · Ken
M. Bison
Opponent · M. Bisonかや3!(クラシックおじ)

Playstyle reference

Habits vs top 30 Ken

Benchmark refreshed Sep 11, 2026, 7:22 PM

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

Ken
PSYCHOROMANTIST’s Ken benchmark

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

shion 2255 · orarin 2235 · ゴトーー 2215 · naruo 2185 · 一瞬一瞬 2177 · +25 others

Largest absolute differences first23 habits
HabitPSYCHOROMANTISTLegendsDifference LessLegendsMore
SA214.5%25.9%-11.4%
SA347.0%35.8%+11.2%
Corner pressure8.9013.12-4.22
Drive Rush (cancel)40.6%38.2%+2.4%
CA13.3%11.0%+2.2%
Drive Arts12.8%14.9%-2.1%
SA125.3%27.3%-2.0%
Throws3.902.57+1.33
Drive Parry2.901.89+1.01
Time cornered8.008.95-0.95
Drive Guard13.7%12.7%+0.9%
Drive Impact gauge1.9%1.4%+0.5%
Drive Rush (parry)6.3%6.8%-0.4%
Perfect Parry0.500.84-0.34
Drive Reversal0.500.23+0.27
Got thrown2.102.26-0.16
Got Punish Countered0.200.08+0.12
Throw parries0.300.21+0.09
Throw techs0.500.44+0.06
Got stunned0.100.05+0.05
Stuns landed0.100.07+0.03
Drive Impact0.200.19+0.01
Punish Counters landed0.100.10-0.00
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.

Ken · Latest 100

What to improve

  1. Review close-range choices

    Throws: profile 3.8 · reference 2.59

    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 3.8 · reference 2.59
    • Throw techs: profile 0.5 · reference 0.46
    • Got thrown: profile 1.8 · reference 2.28
  2. Find the cause of punish events

    Got Punish Countered: profile 0.2 · reference 0.09

    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 0.2 · reference 0.09
    • Punish Counters landed: profile 0.1 · reference 0.11
  3. Give each meter spend a purpose

    SA3: profile 53.8% · reference 37.5%

    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
    • SA3: profile 53.8% · reference 37.5%
    • SA2: profile 16.5% · reference 25%
    • SA1: profile 17.6% · reference 26.5%

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 5, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Probe defense before committing

    Drive Parry: profile 2.7 · reference 1.97

    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 2.7 · reference 1.97
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.2 · reference 0.18

    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 0.2 · reference 0.18
    • Drive Impact gauge: profile 1.6% · reference 1.3%
  3. Use matchup records as scouting leads

    vs Yasmine: 102 wins in 228 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: 102 wins in 228 games
    • vs Luke: 105 wins in 221 games
    • vs Ryu: 106 wins in 202 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 5, 2026 · AI: dots-studio/dots-3-note-preview:free

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