Alex
Updated 2 hours agoSteamSteamJapanJapanClub · ultimatelimitedC100%

waki

Let's Do This
Rank 36MR 1,759#16,317
Last 108–2+58Last 2015–5+88
Winrate
49%
59W · 62L · 121 stored
Ranked matches
121
selected mode
Wins
59
Ranked
Losses
62
Ranked
Peak MR
1,813
Alex

Ranked MR · Alex

121 local · 0 imported · 121 on chart · 288 battles stored

Latest game

VictoryCustom Room

Replay not requested
Cammy
waki · Cammy
Manon
Opponent · Manon自認サガット

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
waki’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
HabitwakiLegendsDifference LessLegendsMore
SA212.1%27.6%-15.5%
Drive Rush (cancel)44.6%33.2%+11.4%
CA17.2%8.3%+8.9%
SA332.8%25.2%+7.6%
Drive Arts7.5%13.2%-5.8%
Drive Guard10.1%14.0%-3.9%
Drive Rush (parry)5.3%8.2%-2.8%
Corner pressure8.6010.07-1.47
Time cornered10.709.50+1.20
SA137.9%38.9%-1.0%
Got thrown2.902.18+0.72
Throws1.602.24-0.64
Drive Impact gauge1.4%2.0%-0.6%
Drive Reversal0.000.43-0.43
Drive Parry1.201.62-0.42
Drive Impact0.100.23-0.13
Throw techs0.400.51-0.11
Throw parries0.200.27-0.07
Got stunned0.100.04+0.06
Perfect Parry0.600.64-0.04
Punish Counters landed0.100.14-0.04
Got Punish Countered0.100.11-0.01
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

    Got Punish Countered: profile 0.1 · reference 0.11

    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 0.1 · reference 0.11
    • Punish Counters landed: profile 0.1 · reference 0.14
  2. Trace how you lose or gain space

    Time cornered: profile 10.7 · reference 9.5

    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
    • Time cornered: profile 10.7 · reference 9.5
    • Corner pressure: profile 8.6 · reference 10.07
  3. Study a recurring matchup situation

    vs JP: 15 wins in 38 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 JP: 15 wins in 38 games
    • vs Chun-Li: 14 wins in 20 games
    • vs Manon: 8 wins in 20 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 14, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Probe defense before committing

    Got thrown: profile 2.9 · reference 2.18

    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
    • Got thrown: profile 2.9 · reference 2.18
    • Throw techs: profile 0.4 · reference 0.51
    • Drive Reversal: profile 0 · reference 0.43
  2. Use matchup records as scouting leads

    vs JP: 15 wins in 38 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 JP: 15 wins in 38 games
    • vs Chun-Li: 14 wins in 20 games
    • vs Manon: 8 wins in 20 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 14, 2026 · AI: nex-agi/nex-n2.5-pro:free

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