Dhalsim
Updated 2 days agoSteamSteamJapanJapanC100%

kulumin

Kicks of Justice
Rank 36MR 1,771#14,633
Last 103–7Last 206–14
Winrate
43%
69W · 92L · 161 stored
Ranked matches
161
selected mode
Wins
69
Ranked
Losses
92
Ranked
Peak MR
1,799
Dhalsim

Ranked MR · Dhalsim

114 local · 0 imported · 114 on chart · 168 battles stored

Latest game

DefeatRanked

Replay not requested
Chun-Li
kulumin · Chun-Li
Mai
Opponent · Mai煽り耐性ZEROの男

Playstyle reference

Habits vs top 30 Dhalsim

Benchmark refreshed Sep 3, 2026, 7:16 PM

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

Dhalsim
kulumin’s Dhalsim benchmark

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

YHC-餅 2260 · Torimeshi 2216 · 未覚醒ハルミチ 2201 · Shaka 2163 · ねじまき鳥クロニクル 2145 · +25 others

Largest absolute differences first23 habits
HabitkuluminLegendsDifference LessLegendsMore
SA129.5%53.6%-24.1%
SA226.9%15.0%+11.9%
SA334.6%24.5%+10.1%
Drive Rush (cancel)23.5%30.7%-7.2%
Drive Arts28.5%21.5%+6.9%
Corner pressure3.507.51-4.01
Drive Guard9.0%12.9%-3.9%
Drive Rush (parry)4.0%7.3%-3.3%
Drive Impact gauge4.8%1.7%+3.2%
Time cornered10.2012.39-2.19
CA9.0%6.9%+2.1%
Drive Reversal1.500.56+0.94
Perfect Parry0.100.47-0.37
Got Punish Countered0.400.10+0.30
Throws2.101.81+0.29
Got thrown2.302.06+0.24
Throw techs0.200.42-0.22
Drive Impact0.400.23+0.17
Punish Counters landed0.300.14+0.16
Drive Parry1.801.69+0.11
Stuns landed0.000.07-0.07
Got stunned0.100.05+0.05
Throw parries0.200.25-0.05
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.

Dhalsim · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.5 · reference 0.23

    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 0.5 · reference 0.23
    • Drive Impact gauge: profile 3.6% · reference 1.7%
  2. Trace how you lose or gain space

    Corner pressure: profile 2.9 · reference 7.51

    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 2.9 · reference 7.51
    • Time cornered: profile 13.6 · reference 12.39
  3. Review close-range choices

    Throws: profile 1.6 · reference 1.81

    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 1.6 · reference 1.81
    • Throw techs: profile 0.1 · reference 0.42
    • Got thrown: profile 1.8 · reference 2.06

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 4, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Yasmine: 30 wins in 81 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 Yasmine: 30 wins in 81 games
    • vs Alex: 27 wins in 45 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 18 wins in 32 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: 18 wins in 32 games
  3. Probe defense before committing

    Drive Reversal: profile 2.4 · reference 0.56

    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 Reversal: profile 2.4 · reference 0.56

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 4, 2026 · AI: dots-studio/dots-3-note-preview:free

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