Ken
Updated 6 hours agoSteamSteamJapanJapanC100%

横山不完全対応型研磨★S

Fresh-Faced Fighter
Rank 36MR 1,274#609,688
Last 106–4+21Last 2011–9+24
Winrate
47%
51W · 58L · 109 stored
Ranked matches
109
selected mode
Wins
51
Ranked
Losses
58
Ranked
Peak MR
1,434
Ken

Ranked MR · Ken

109 local · 0 imported · 109 on chart · 109 battles stored

Latest game

VictoryRanked

Replay not requested
Ken
横山不完全対応型研磨★S · Ken
Alex
Opponent · Alex40代格ゲー初心者始めました

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
横山不完全対応型研磨★S’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
Habit横山不完全対応型研磨★SLegendsDifference LessLegendsMore
SA213.3%25.9%-12.6%
SA346.7%35.8%+10.9%
Drive Guard8.4%12.7%-4.4%
Corner pressure9.7013.12-3.42
SA130.7%27.3%+3.4%
Drive Rush (parry)4.3%6.8%-2.5%
Drive Arts17.0%14.9%+2.1%
Drive Impact gauge3.5%1.4%+2.1%
CA9.3%11.0%-1.7%
Drive Parry1.201.89-0.69
Perfect Parry0.200.84-0.64
Time cornered8.408.95-0.55
Throws2.102.57-0.47
Drive Reversal0.500.23+0.27
Drive Rush (cancel)37.9%38.2%-0.3%
Got thrown2.502.26+0.24
Got Punish Countered0.200.08+0.12
Throw parries0.100.21-0.11
Drive Impact0.300.19+0.11
Punish Counters landed0.200.10+0.10
Got stunned0.100.05+0.05
Throw techs0.400.44-0.04
Stuns landed0.100.07+0.03
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. Find the cause of punish events

    Got Punish Countered: profile 0.3 · reference 0.08

    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 0.08
    • Punish Counters landed: profile 0.2 · reference 0.1
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.3 · reference 0.19

    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 0.3 · reference 0.19
    • Drive Impact gauge: profile 2.6% · reference 1.4%
  3. Review defensive decisions

    Drive Reversal: profile 0.5 · reference 0.23

    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 Reversal: profile 0.5 · reference 0.23
    • Throw techs: profile 0.5 · reference 0.44
    • Got thrown: profile 2.5 · reference 2.26

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-pro:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.3 · reference 0.08

    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 0.08
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.3 · reference 0.19

    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 0.3 · reference 0.19
    • Drive Impact gauge: profile 2.6% · reference 1.4%
  3. Test the close-range pattern

    Throws: profile 2.1 · reference 2.57

    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 2.1 · reference 2.57
    • Got thrown: profile 2.5 · reference 2.26
    • Throw techs: profile 0.5 · reference 0.44

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-pro:free

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