Alex
Updated 5 days agoSteamSteamJapanJapanM100%

numamassii1

Are You Even Trying to Win??
Rank 36MR 1,380#530,457
Last 102–8-43Last 203–17-102
Winrate
14%
3W · 18L · 21 stored
Ranked matches
21
selected mode
Wins
3
Ranked
Losses
18
Ranked
Peak MR
1,482
Alex

Ranked MR · Alex

21 local · 0 imported · 21 on chart · 21 battles stored

Latest game

VictoryRanked

Replay not requested
Alex
numamassii1 · Alex
Dhalsim
Opponent · Dhalsim捻挫の神

Playstyle reference

Habits vs top 30 Alex

Benchmark refreshed Sep 2, 2026, 1:21 PM

Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details

Alex
numamassii1’s Alex benchmark

Compared with the average habits of the top 30 sampled Alex players.

ゆーざー 2166 · Junior 2115 · きどーー 2110 · cream 2104 · Nemo1127 2086 · +25 others

Largest absolute differences first23 habits
Habitnumamassii1LegendsDifference LessLegendsMore
SA18.2%43.0%-34.9%
SA353.1%22.1%+31.0%
CA28.6%6.5%+22.1%
SA210.2%28.4%-18.2%
Drive Rush (cancel)16.3%33.0%-16.8%
Drive Arts24.8%14.2%+10.6%
Drive Impact gauge9.7%1.7%+8.0%
Drive Guard6.8%14.1%-7.3%
Corner pressure6.209.01-2.81
Drive Rush (parry)5.6%8.2%-2.6%
Drive Parry0.201.63-1.43
Time cornered9.009.88-0.88
Perfect Parry0.000.70-0.70
Drive Impact0.700.20+0.50
Punish Counters landed0.500.12+0.38
Got Punish Countered0.500.12+0.38
Drive Reversal0.200.47-0.27
Got thrown1.902.12-0.22
Throw parries0.100.29-0.19
Throw techs0.300.48-0.18
Throws2.402.32+0.08
Got stunned0.000.05-0.05
Stuns landed0.100.07+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

    Punish Counters landed: profile 0.5 · 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 0.5 · reference 0.12
    • Got Punish Countered: profile 0.5 · reference 0.12
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.7 · 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 0.7 · reference 0.2
    • Drive Impact gauge: profile 9.7% · reference 1.7%
  3. Give each meter spend a purpose

    SA3: profile 53.1% · reference 22.1%

    Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.

    Try this

    Practice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.

    Supporting stats
    • SA3: profile 53.1% · reference 22.1%
    • CA: profile 28.6% · reference 6.5%
    • SA1: profile 8.2% · reference 43%

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 9, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.7 · 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 0.7 · reference 0.2
    • Drive Impact gauge: profile 9.7% · reference 1.7%
  2. Probe defense before committing

    Drive Parry: profile 0.2 · 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 0.2 · reference 1.63
    • Perfect Parry: profile 0 · reference 0.7
    • Drive Reversal: profile 0.2 · reference 0.47
  3. Build pressure without overextending

    Corner pressure: profile 6.2 · reference 9.01

    Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.

    Try this

    Test one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.

    Supporting stats
    • Corner pressure: profile 6.2 · reference 9.01
    • Time cornered: profile 9 · 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 9, 2026 · AI: dots-studio/dots-3-note-preview:free

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