Alex
Updated 19 hours agoSteamSteamJapanJapanC100%

GAK15I

Sick! Wicked Sick!!
Rank 36MR 1,519#193,106
Last 107–3+29Last 2013–7+46
Winrate
46%
41W · 49L · 90 stored
Ranked matches
90
selected mode
Wins
41
Ranked
Losses
49
Ranked
Peak MR
1,595
Alex

Ranked MR · Alex

90 local · 22 imported · 112 on chart · 203 battles stored

Latest game

VictoryRanked

Replay not requested
Alex
GAK15I · Alex
C. Viper
Opponent · C. Viperossann0222

Playstyle reference

Habits vs top 30 Alex

Benchmark refreshed Sep 14, 2026, 4:24 AM

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

Alex
GAK15I’s Alex benchmark

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

きどーー 2201 · cream 2141 · Shinto 2140 · ゆーざー 2129 · ラッシュ中段どわーw 2127 · +25 others

Largest absolute differences first23 habits
HabitGAK15ILegendsDifference LessLegendsMore
SA23.7%27.6%-23.9%
CA24.1%8.3%+15.8%
SA148.1%38.9%+9.2%
Corner pressure4.3010.07-5.77
Drive Arts7.5%13.2%-5.7%
Drive Rush (cancel)37.9%33.2%+4.8%
Drive Rush (parry)4.5%8.2%-3.7%
Drive Guard11.1%14.0%-2.9%
SA324.1%25.2%-1.1%
Time cornered8.509.50-1.00
Drive Reversal1.000.43+0.57
Perfect Parry0.400.64-0.24
Throw techs0.300.51-0.21
Got Punish Countered0.300.11+0.19
Drive Impact gauge2.2%2.0%+0.2%
Throws2.102.24-0.14
Got thrown2.302.18+0.12
Stuns landed0.000.10-0.10
Drive Impact0.300.23+0.07
Throw parries0.200.27-0.07
Punish Counters landed0.100.14-0.04
Got stunned0.000.04-0.04
Drive Parry1.601.62-0.02
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.

Alex · Latest 100

What to improve

  1. Find the cause of punish events

    Got Punish Countered: profile 0.3 · reference 0.12

    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 0.12
    • Punish Counters landed: profile 0.5 · reference 0.12
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.7 · reference 0.2

    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 0.2
    • Drive Impact gauge: profile 6% · reference 1.7%
  3. Trace how you lose or gain space

    Corner pressure: profile 5.6 · reference 9.01

    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 5.6 · reference 9.01
    • Time cornered: profile 10.8 · reference 9.88

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. Test the Drive Impact tendency

    Drive Impact: profile 0.7 · reference 0.2

    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 0.2
    • Drive Impact gauge: profile 6% · reference 1.7%
  2. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.5 · reference 0.12

    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
    • Punish Counters landed: profile 0.5 · reference 0.12
    • Got Punish Countered: profile 0.3 · reference 0.12
  3. Adapt to the visible gauge

    SA3: profile 32.7% · reference 22.1%

    Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.

    Try this

    After a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.

    Supporting stats
    • SA3: profile 32.7% · reference 22.1%
    • CA: profile 23.6% · reference 6.5%

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

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