Ken
Updated 4 days agoCrossPlatformCrossPlatformJapanJapanClub · ASM6M97%

おがんま@イキリァス

Rebellious Scion
Rank 35Peak MR 1,301
Last 103–7-1Last 209–11-1
Winrate
49%
92W · 96L · 188 stored
Ranked matches
188
selected mode
Wins
92
Ranked
Losses
96
Ranked
Peak MR
1,301
Ken

Ranked MR · Ken

2 local · 0 imported · 2 on chart · 222 battles stored

Latest game

VictoryRanked

Replay not requested
Ken
おがんま@イキリァス · Ken
Blanka
Opponent · BlankaKAWA-METAL@赤子金属

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
おがんま@イキリァス’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おがんま@イキリァスLegendsDifference LessLegendsMore
CA22.9%11.0%+11.9%
SA116.7%27.3%-10.6%
Drive Arts8.4%14.9%-6.6%
Drive Impact gauge4.1%1.4%+2.7%
Drive Rush (parry)4.4%6.8%-2.3%
Corner pressure10.8013.12-2.32
Drive Guard11.8%12.7%-1.0%
SA225.0%25.9%-0.9%
Time cornered8.108.95-0.85
Perfect Parry0.300.84-0.54
Throws2.102.57-0.47
Got Punish Countered0.500.08+0.42
Drive Parry2.301.89+0.41
SA335.4%35.8%-0.4%
Got thrown2.502.26+0.24
Drive Reversal0.000.23-0.23
Drive Impact0.400.19+0.21
Punish Counters landed0.300.10+0.20
Drive Rush (cancel)38.0%38.2%-0.2%
Throw techs0.300.44-0.14
Got stunned0.000.05-0.05
Stuns landed0.100.07+0.03
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.

Ken · Latest 100

What to improve

  1. Review defensive decisions

    Perfect Parry: profile 0.2 · reference 0.79

    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
    • Perfect Parry: profile 0.2 · reference 0.79
    • Drive Reversal: profile 0 · reference 0.21
    • Drive Parry: profile 1.5 · reference 1.97
  2. Review close-range choices

    Throws: profile 2.5 · 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 2.5 · reference 2.59
    • Throw techs: profile 0.2 · reference 0.46
    • Got thrown: profile 2.1 · reference 2.28
  3. Trace how you lose or gain space

    Corner pressure: profile 8.1 · reference 12.08

    Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.

    Try this

    Recreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.

    Supporting stats
    • Corner pressure: profile 8.1 · reference 12.08
    • Time cornered: profile 6 · reference 9.04

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Char 253: 788 wins in 1,465 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 Char 253: 788 wins in 1,465 games
    • vs Yasmine: 215 wins in 361 games
    • vs Luke: 87 wins in 150 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 25 wins in 46 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: 25 wins in 46 games
  3. Test the Drive Impact tendency

    Drive Impact: profile 0.3 · 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 0.3 · reference 0.18
    • Drive Impact gauge: profile 3.2% · reference 1.3%

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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