Dhalsim
Updated 14 hours agoCrossPlatformCrossPlatformOtherOtherC100%

び~~~~~す

New to Fighting Games
Rank 36MR 1,483#369,082
Last 106–4+13Last 2012–8+31
Winrate
58%
88W · 63L · 151 stored
Ranked matches
151
selected mode
Wins
88
Ranked
Losses
63
Ranked
Peak MR
1,550
Dhalsim

Ranked MR · Dhalsim

151 local · 81 imported · 197 on chart · 151 battles stored

Latest game

DefeatRanked

Replay not requested
Dhalsim
び~~~~~す · Dhalsim
C. Viper
Opponent · C. Viperyuuki

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
び~~~~~す’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
Habitび~~~~~すLegendsDifference LessLegendsMore
SA242.4%15.0%+27.4%
Drive Rush (cancel)7.5%30.7%-23.2%
SA134.8%53.6%-18.7%
Drive Guard24.8%12.9%+11.9%
SA313.6%24.5%-10.9%
Drive Rush (parry)15.0%7.3%+7.7%
Drive Arts14.6%21.5%-6.9%
Corner pressure4.207.51-3.31
CA9.1%6.9%+2.2%
Throws3.501.81+1.69
Time cornered11.1012.39-1.29
Drive Reversal0.900.56+0.34
Drive Impact gauge1.9%1.7%+0.3%
Got Punish Countered0.300.10+0.20
Throw parries0.400.25+0.15
Drive Parry1.801.69+0.11
Throw techs0.500.42+0.08
Stuns landed0.000.07-0.07
Got stunned0.000.05-0.05
Punish Counters landed0.100.14-0.04
Got thrown2.102.06+0.04
Drive Impact0.200.23-0.03
Perfect Parry0.500.47+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.

Dhalsim · Latest 100

What to improve

  1. Find the cause of punish events

    Got Punish Countered: profile 0.2 · reference 0.1

    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 0.1
    • Punish Counters landed: profile 0.1 · reference 0.14
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.2 · 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 0.2 · reference 0.23
    • Drive Impact gauge: profile 1.8% · reference 1.7%
  3. Review defensive decisions

    Drive Reversal: profile 1.7 · reference 0.56

    Compare five defensive situations: what did the opponent do, what did you choose, and what happened? Low parry or throw-tech counts alone do not establish a weakness.

    Try this

    Record two different options from one troublesome situation. Practice identifying them and choosing a response, then review whether the same decision improves in your next set.

    Supporting stats
    • Drive Reversal: profile 1.7 · reference 0.56
    • Drive Parry: profile 1.6 · reference 1.69
    • Perfect Parry: profile 0.4 · reference 0.47

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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Probe defense before committing

    Drive Reversal: profile 1.7 · 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 1.7 · reference 0.56
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.2 · reference 0.23

    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 0.2 · reference 0.23
    • Drive Impact gauge: profile 1.8% · reference 1.7%
  3. Use matchup records as scouting leads

    vs Alex: 21 wins in 50 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 Alex: 21 wins in 50 games
    • vs Akuma: 30 wins in 58 games
    • vs Ken: 21 wins in 48 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

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