Alex
Updated 1 day agoCrossPlatformCrossPlatformJapanJapanM100%

fstfswfss

Rom-Com
Rank 36MR 1,248#611,797
Last 106–4+19Last 209–11-15
Winrate
48%
132W · 144L · 276 stored
Ranked matches
276
selected mode
Wins
132
Ranked
Losses
144
Ranked
Peak MR
1,439
Alex

Ranked MR · Alex

276 local · 157 imported · 385 on chart · 279 battles stored

Latest game

VictoryRanked

Replay not requested
Alex
fstfswfss · Alex
Ryu
Opponent · Ryuデカでか

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
fstfswfss’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
HabitfstfswfssLegendsDifference LessLegendsMore
SA116.9%38.9%-22.0%
Drive Rush (cancel)19.5%33.2%-13.7%
CA18.6%8.3%+10.3%
SA332.2%25.2%+7.0%
SA232.2%27.6%+4.6%
Time cornered13.309.50+3.80
Drive Rush (parry)5.9%8.2%-2.2%
Corner pressure7.9010.07-2.17
Drive Impact gauge4.0%2.0%+2.0%
Got thrown4.102.18+1.92
Throw techs2.100.51+1.59
Throws3.502.24+1.26
Drive Parry2.501.62+0.88
Drive Guard13.4%14.0%-0.6%
Drive Reversal0.000.43-0.43
Drive Arts13.6%13.2%+0.4%
Got Punish Countered0.400.11+0.29
Drive Impact0.500.23+0.27
Throw parries0.100.27-0.17
Got stunned0.200.04+0.16
Punish Counters landed0.300.14+0.16
Perfect Parry0.500.64-0.14
Stuns 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.

Alex · Latest 100

What to improve

  1. Find the cause of punish events

    Punish Counters landed: 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
    • Punish Counters landed: profile 0.3 · reference 0.12
    • Got Punish Countered: profile 0.4 · reference 0.12
  2. Review close-range choices

    Throws: profile 3.5 · reference 2.32

    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 3.5 · reference 2.32
    • Throw techs: profile 2.1 · reference 0.48
    • Got thrown: profile 4.1 · reference 2.12
  3. Trace how you lose or gain space

    Corner pressure: profile 7.9 · 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 7.9 · reference 9.01
    • Time cornered: profile 13.3 · 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 13, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.3 · 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 0.3 · reference 0.12
    • Got Punish Countered: profile 0.4 · reference 0.12
  2. Probe defense before committing

    Drive Parry: profile 2.5 · reference 1.63

    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 2.5 · reference 1.63
    • Perfect Parry: profile 0.5 · reference 0.7
  3. Test the close-range pattern

    Throws: profile 3.5 · reference 2.32

    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 3.5 · reference 2.32
    • Throw techs: profile 2.1 · reference 0.48
    • Got thrown: profile 4.1 · reference 2.12

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: dots-studio/dots-3-note-preview:free

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