JP
Updated 3 hours agoCrossPlatformCrossPlatformJapanJapanC100%

kira

Out-mash Their DP by One
Rank 36MR 1,551#141,069
Last 105–5-5Last 2010–10-9
Winrate
49%
56W · 59L · 115 stored
Ranked matches
115
selected mode
Wins
56
Ranked
Losses
59
Ranked
Peak MR
1,608
JP

Ranked MR · JP

103 local · 0 imported · 103 on chart · 117 battles stored

Latest game

VictoryRanked

Replay not requested
JP
kira · JP
Akuma
Opponent · Akumaheatsena

Playstyle reference

Habits vs top 30 JP

Benchmark refreshed Sep 3, 2026, 4:26 PM

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

JP
kira’s JP benchmark

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

takepi 2276 · 三田JP 2142 · あーるゆーおー 2134 · -DingChunQiu- 2121 · Nth Oniki 2110 · +25 others

Largest absolute differences first23 habits
HabitkiraLegendsDifference LessLegendsMore
SA270.2%56.6%+13.6%
SA111.9%19.2%-7.3%
SA311.9%19.2%-7.3%
Drive Rush (cancel)17.7%23.1%-5.4%
Drive Arts28.4%32.1%-3.7%
Corner pressure7.5010.77-3.27
Drive Rush (parry)8.1%6.5%+1.6%
CA6.0%5.0%+1.0%
Drive Parry1.102.07-0.97
Time cornered11.1012.04-0.94
Drive Guard12.0%12.8%-0.8%
Drive Impact gauge2.9%2.1%+0.8%
Perfect Parry0.200.79-0.59
Throws1.401.97-0.57
Got thrown1.902.13-0.23
Throw parries0.200.41-0.21
Throw techs0.200.39-0.19
Drive Reversal0.300.13+0.17
Punish Counters landed0.300.13+0.17
Got Punish Countered0.200.08+0.12
Drive Impact0.300.34-0.04
Got stunned0.000.04-0.04
Stuns landed0.100.09+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.

JP · Latest 100

What to improve

  1. Review defensive decisions

    Drive Parry: profile 1 · reference 2.07

    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 Parry: profile 1 · reference 2.07
    • Perfect Parry: profile 0.3 · reference 0.79
  2. Find the cause of punish events

    Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.08
    • Punish Counters landed: profile 0.3 · reference 0.13
  3. Study a recurring matchup situation

    vs Ryu: 20 wins in 41 games

    Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.

    Try this

    Pick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.

    Supporting stats
    • vs Ryu: 20 wins in 41 games
    • vs Luke: 13 wins in 24 games
    • vs Akuma: 13 wins in 23 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 12, 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: 16 wins in 28 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: 16 wins in 28 games
  2. Use matchup records as scouting leads

    vs Ryu: 20 wins in 41 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 Ryu: 20 wins in 41 games
    • vs Luke: 13 wins in 24 games
    • vs Akuma: 13 wins in 23 games
  3. Test the Drive Impact tendency

    Drive Impact: profile 0.4 · reference 0.34

    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 0.4 · reference 0.34

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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free

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