Alex
Updated 1 week agoSteamSteamOtherOtherC100%

Dialinker

Bad-Guy
Rank 36MR 1,770#12,938
Last 107–3+8Last 2013–7+4
Winrate
56%
141W · 112L · 253 stored
Ranked matches
253
selected mode
Wins
141
Ranked
Losses
112
Ranked
Peak MR
1,772
Alex

Ranked MR · Alex

253 local · 0 imported · 253 on chart · 285 battles stored

Latest game

DefeatRanked

Replay not requested
Alex
Dialinker · Alex
Mai
Opponent · MaiTevezbxl

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
Dialinker’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
HabitDialinkerLegendsDifference LessLegendsMore
SA316.5%25.2%-8.7%
SA145.4%38.9%+6.5%
SA234.0%27.6%+6.4%
CA4.1%8.3%-4.2%
Drive Arts9.1%13.2%-4.1%
Corner pressure6.8010.07-3.27
Drive Guard16.3%14.0%+2.3%
Drive Impact gauge4.0%2.0%+2.0%
Drive Rush (cancel)35.1%33.2%+1.9%
Time cornered8.509.50-1.00
Drive Rush (parry)7.4%8.2%-0.7%
Drive Parry2.101.62+0.48
Got thrown2.602.18+0.42
Throws2.602.24+0.36
Throw techs0.200.51-0.31
Drive Impact0.400.23+0.17
Drive Reversal0.300.43-0.13
Punish Counters landed0.200.14+0.06
Perfect Parry0.700.64+0.06
Got stunned0.000.04-0.04
Throw parries0.300.27+0.03
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. 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 4% · reference 1.7%
  2. Trace how you lose or gain space

    Corner pressure: profile 6.8 · 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 6.8 · reference 9.01
    • Time cornered: profile 8.5 · reference 9.88
  3. Compare decisions across wins and losses

    Recent stored ranked sample: 65 wins in 100 games

    Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.

    Try this

    Write down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.

    Supporting stats
    • Recent stored ranked sample: 65 wins in 100 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: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Separate a tendency from a one-off event

    Recent stored ranked sample: 65 wins in 100 games

    Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

    Try this

    Use the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.

    Supporting stats
    • Recent stored ranked sample: 65 wins in 100 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: nex-agi/nex-n2.5-mini:free

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