Alex
Updated 2 days agoSteamSteamJapanJapanC100%

ゲージ粒子

Let's Do This
Rank 36MR 1,602#88,347
Last 107–3+34Last 2011–9+18
Winrate
48%
74W · 79L · 153 stored
Ranked matches
153
selected mode
Wins
74
Ranked
Losses
79
Ranked
Peak MR
1,669
Alex

Ranked MR · Alex

152 local · 0 imported · 152 on chart · 153 battles stored

Latest game

VictoryRanked

Available
Ryu
ゲージ粒子 · Ryu
Ken
Opponent · Ken销东official

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
ゲージ粒子’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
Habitゲージ粒子LegendsDifference LessLegendsMore
CA20.3%8.3%+12.0%
SA129.0%38.9%-9.9%
Drive Rush (cancel)43.0%33.2%+9.8%
Drive Arts8.0%13.2%-5.3%
SA223.2%27.6%-4.4%
Corner pressure7.3010.07-2.77
SA327.5%25.2%+2.4%
Drive Impact gauge4.2%2.0%+2.1%
Drive Guard12.3%14.0%-1.7%
Drive Rush (parry)7.0%8.2%-1.1%
Drive Impact0.500.23+0.27
Perfect Parry0.400.64-0.24
Time cornered9.709.50+0.20
Got Punish Countered0.300.11+0.19
Punish Counters landed0.300.14+0.16
Throws2.102.24-0.14
Drive Parry1.501.62-0.12
Throw techs0.400.51-0.11
Stuns landed0.000.10-0.10
Got thrown2.102.18-0.08
Throw parries0.200.27-0.07
Got stunned0.000.04-0.04
Drive Reversal0.400.43-0.03
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 0.2 · 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 0.2 · reference 0.12
    • Punish Counters landed: profile 0.4 · reference 0.12
  2. Review close-range choices

    Throws: profile 1.8 · 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 1.8 · reference 2.32
    • Got thrown: profile 2.5 · reference 2.12
    • Throw techs: profile 0.4 · reference 0.48
  3. Trace how you lose or gain space

    Corner pressure: profile 7.1 · 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 7.1 · reference 9.01
    • Time cornered: profile 10 · 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 0.6 · 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 0.6 · reference 0.2
    • Drive Impact gauge: profile 4.9% · reference 1.7%
  2. Probe defense before committing

    Drive Parry: profile 1.1 · 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 1.1 · reference 1.63
    • Perfect Parry: profile 0.3 · reference 0.7
    • Drive Reversal: profile 0.6 · reference 0.47
  3. Use matchup records as scouting leads

    vs Luke: 58 wins in 109 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 Luke: 58 wins in 109 games
    • vs Ryu: 45 wins in 92 games
    • vs Yasmine: 35 wins in 88 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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