Dhalsim
Updated 6 days agoCrossPlatformCrossPlatformJapanJapanC100%

保坂先輩@島根の県民

Down for SUSHIRO
Rank 36MR 1,843#5,453
Last 108–2+42Last 2012–8+31
Winrate
58%
19W · 14L · 33 stored
Ranked matches
33
selected mode
Wins
19
Ranked
Losses
14
Ranked
Peak MR
1,844
Dhalsim

Ranked MR · Dhalsim

33 local · 0 imported · 33 on chart · 35 battles stored

Latest game

VictoryCustom Room

Replay not requested
Dhalsim
保坂先輩@島根の県民 · Dhalsim
Sagat
Opponent · Sagatrajabali ラジャブ

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
保坂先輩@島根の県民’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保坂先輩@島根の県民LegendsDifference LessLegendsMore
Drive Rush (cancel)34.2%30.7%+3.6%
Drive Arts18.8%21.5%-2.8%
Corner pressure5.307.51-2.21
CA5.2%6.9%-1.7%
SA216.5%15.0%+1.5%
Drive Guard11.4%12.9%-1.4%
Time cornered13.6012.39+1.21
SA325.2%24.5%+0.7%
SA153.0%53.6%-0.5%
Drive Reversal1.100.56+0.54
Got thrown2.502.06+0.44
Throws1.401.81-0.41
Drive Rush (parry)7.7%7.3%+0.4%
Drive Parry1.301.69-0.39
Perfect Parry0.300.47-0.17
Drive Impact gauge1.5%1.7%-0.2%
Throw techs0.500.42+0.08
Stuns landed0.000.07-0.07
Got stunned0.100.05+0.05
Throw parries0.200.25-0.05
Punish Counters landed0.100.14-0.04
Drive Impact0.200.23-0.03
Got Punish Countered0.100.10-0.00
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.

Dhalsim · Latest 100

What to improve

  1. Review defensive decisions

    Drive Reversal: profile 1.1 · 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 1.1 · reference 0.56
    • Perfect Parry: profile 0.3 · reference 0.47
    • Drive Parry: profile 1.3 · reference 1.69
  2. Review close-range choices

    Got thrown: profile 2.5 · reference 2.06

    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
    • Got thrown: profile 2.5 · reference 2.06
    • Throws: profile 1.4 · reference 1.81
    • Throw techs: profile 0.5 · reference 0.42
  3. Trace how you lose or gain space

    Time cornered: profile 13.6 · reference 12.39

    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
    • Time cornered: profile 13.6 · reference 12.39
    • Corner pressure: profile 5.3 · reference 7.51

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 8, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Test the close-range pattern

    Throws: profile 1.4 · reference 1.81

    Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

    Try this

    If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

    Supporting stats
    • Throws: profile 1.4 · reference 1.81
    • Got thrown: profile 2.5 · reference 2.06
  2. Probe defense before committing

    Drive Parry: profile 1.3 · reference 1.69

    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 1.3 · reference 1.69
    • Drive Reversal: profile 1.1 · reference 0.56
    • Perfect Parry: profile 0.3 · reference 0.47
  3. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.1 · reference 0.1

    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 0.1 · reference 0.1
    • Punish Counters landed: profile 0.1 · reference 0.14

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 8, 2026 · AI: nex-agi/nex-n2.5-pro:free

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