Alex
Updated 2 days agoSteamSteamMacedoniaMacedoniaC100%

線路Jr.

What About Me?
Rank 36MR 1,611#69,063
Last 105–5+1Last 2014–6+61
Winrate
53%
118W · 104L · 222 stored
Ranked matches
222
selected mode
Wins
118
Ranked
Losses
104
Ranked
Peak MR
1,611
Alex

Ranked MR · Alex

222 local · 0 imported · 222 on chart · 222 battles stored

Latest game

DefeatRanked

Replay not requested
Alex
線路Jr. · Alex
Ingrid
Opponent · IngridTT08

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
線路Jr.’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線路Jr.LegendsDifference LessLegendsMore
SA126.0%38.9%-12.9%
Drive Rush (cancel)43.1%33.2%+10.0%
Drive Arts5.9%13.2%-7.4%
Drive Impact gauge9.1%2.0%+7.0%
SA234.2%27.6%+6.6%
SA330.1%25.2%+5.0%
Drive Guard9.2%14.0%-4.8%
Drive Rush (parry)4.3%8.2%-3.8%
Corner pressure6.5010.07-3.57
Time cornered7.909.50-1.60
CA9.6%8.3%+1.3%
Throws1.302.24-0.94
Throw techs0.000.51-0.51
Drive Impact0.700.23+0.47
Perfect Parry0.200.64-0.44
Drive Reversal0.800.43+0.37
Punish Counters landed0.400.14+0.26
Drive Parry1.401.62-0.22
Got Punish Countered0.300.11+0.19
Stuns landed0.200.10+0.10
Throw parries0.200.27-0.07
Got stunned0.100.04+0.06
Got thrown2.202.18+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. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.4 · 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 0.4 · reference 0.2
    • Drive Impact gauge: profile 6.6% · reference 1.7%
  2. Review close-range choices

    Throw techs: profile 0 · reference 0.48

    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
    • Throw techs: profile 0 · reference 0.48
    • Got thrown: profile 2.5 · reference 2.12
  3. 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 0.3 · reference 0.12

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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Akuma: 26 wins in 60 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 Akuma: 26 wins in 60 games
    • vs Luke: 36 wins in 59 games
    • vs Ryu: 19 wins in 57 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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

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