Dhalsim
Updated 2 days agoSteamSteamJapanJapanC100%

Mijin_uma

Let's Do This
Rank 36
MR 1,539#159,955
Last 106–4+17Last 2013–7+46
Winrate
57%
31W · 23L · 54 stored
Ranked matches
54
selected mode
Wins
31
Ranked
Losses
23
Ranked
Peak MR
1,581
Dhalsim

Ranked MR · Dhalsim

54 local · 117 imported · 134 on chart · 64 battles stored

Latest game

VictoryRanked

Replay not requested
Dhalsim
Mijin_uma · Dhalsim
Cammy
Opponent · Cammyどどあお

Playstyle reference

Habits vs top 30 Dhalsim

Benchmark refreshed Sep 15, 2026, 12:31 PM

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

Dhalsim
Mijin_uma’s Dhalsim benchmark

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

YHC-餅 2368 · Torimeshi 2304 · Monsterjujuju 2207 · 未覚醒ハルミチ 2201 · daijin/WIM 2141 · +25 others

Largest absolute differences first23 habits
HabitMijin_umaLegendsDifference LessLegendsMore
SA253.3%14.4%+38.9%
SA32.9%25.0%-22.1%
Drive Guard1.8%12.7%-10.9%
SA143.1%54.0%-10.9%
Drive Rush (parry)0.8%7.4%-6.6%
CA0.7%6.7%-5.9%
Drive Rush (cancel)25.3%30.0%-4.7%
Corner pressure4.007.93-3.93
Drive Arts25.7%22.0%+3.6%
Drive Reversal2.100.57+1.53
Drive Parry0.201.60-1.40
Time cornered10.7011.69-0.99
Perfect Parry0.000.50-0.50
Throws1.401.77-0.37
Throw techs0.000.37-0.37
Throw parries0.100.26-0.16
Got thrown1.902.05-0.15
Drive Impact0.100.23-0.13
Got Punish Countered0.200.08+0.12
Drive Impact gauge1.7%1.6%+0.1%
Stuns landed0.000.08-0.08
Got stunned0.100.05+0.05
Punish Counters landed0.100.12-0.02
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.

Dhalsim · Latest 100

What to improve

  1. Find the cause of punish events

    Got Punish Countered: profile 0.2 · reference 0.08

    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 0.08
    • Punish Counters landed: profile 0.1 · reference 0.12
  2. Trace how you lose or gain space

    Corner pressure: profile 4 · reference 7.93

    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 4 · reference 7.93
    • Time cornered: profile 10.7 · reference 11.69
  3. Review close-range choices

    Throws: profile 1.4 · reference 1.77

    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 1.4 · reference 1.77
    • Got thrown: profile 1.9 · reference 2.05

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 15, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · reference 0.08

    Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.

    Try this

    Test one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.

    Supporting stats
    • Got Punish Countered: profile 0.2 · reference 0.08
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.1 · 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 0.1 · reference 0.23
    • Drive Impact gauge: profile 1.7% · reference 1.6%
  3. Probe defense before committing

    Drive Parry: profile 0.2 · reference 1.6

    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 1.6
    • Perfect Parry: profile 0 · reference 0.5
    • Throw techs: profile 0 · reference 0.37

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 15, 2026 · AI: dots-studio/dots-3-note-preview:free

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