Rashid
Updated 1 week agoCrossPlatformCrossPlatformJapanJapanC100%

SHAKE

Eternal Traveler
Rank 36MR 1,306#561,485
Last 109–1+57Last 2017–3+104
Winrate
56%
60W · 48L · 108 stored
Ranked matches
108
selected mode
Wins
60
Ranked
Losses
48
Ranked
Peak MR
1,327
Rashid

Ranked MR · Rashid

108 local · 0 imported · 108 on chart · 108 battles stored

Latest game

VictoryRanked

Replay not requested
Rashid
SHAKE · Rashid
Zangief
Opponent · Zangiefかねきしっぷうでん

Playstyle reference

Habits vs top 30 Rashid

Benchmark refreshed Sep 12, 2026, 7:15 AM

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

Rashid
SHAKE’s Rashid benchmark

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

Nth_satoru 2314 · TsuneHERO 2246 · とす__ 2217 · 山田の隣 2148 · Dual_Kevin 2128 · +25 others

Largest absolute differences first23 habits
HabitSHAKELegendsDifference LessLegendsMore
SA276.7%56.0%+20.7%
SA18.6%22.7%-14.1%
Drive Arts7.8%20.1%-12.2%
Drive Rush (cancel)42.5%32.1%+10.4%
SA312.1%16.6%-4.6%
Drive Guard8.5%13.0%-4.5%
Corner pressure12.1015.02-2.92
CA2.6%4.7%-2.1%
Drive Parry0.201.77-1.57
Got thrown2.902.05+0.85
Time cornered8.709.52-0.82
Drive Rush (parry)6.8%7.4%-0.6%
Perfect Parry0.000.61-0.61
Drive Reversal0.000.31-0.31
Drive Impact gauge2.2%2.0%+0.2%
Throws2.402.64-0.24
Got Punish Countered0.200.11+0.09
Got stunned0.000.08-0.08
Punish Counters landed0.200.13+0.07
Throw techs0.300.37-0.07
Drive Impact0.200.25-0.05
Throw parries0.300.28+0.02
Stuns landed0.100.10-0.00
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.

Rashid · Latest 100

What to improve

  1. Review defensive decisions

    Drive Parry: profile 0.2 · reference 1.66

    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 Parry: profile 0.2 · reference 1.66
    • Perfect Parry: profile 0 · reference 0.6
    • Drive Reversal: profile 0 · reference 0.35
  2. Give each meter spend a purpose

    SA1: profile 8.6% · reference 27.1%

    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
    • SA1: profile 8.6% · reference 27.1%
    • SA2: profile 76.7% · reference 51%
    • SA3: profile 12.1% · reference 16.8%
  3. Trace how you lose or gain space

    Corner pressure: profile 12.1 · reference 14.49

    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 12.1 · reference 14.49
    • Time cornered: profile 8.7 · reference 8.96

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 7, 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 0.11

    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 0.11
  2. Probe defense before committing

    Drive Reversal: profile 0 · reference 0.35

    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 0 · reference 0.35
    • Perfect Parry: profile 0 · reference 0.6
  3. Adapt to the visible gauge

    SA1: profile 8.6% · reference 27.1%

    Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.

    Try this

    After a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.

    Supporting stats
    • SA1: profile 8.6% · reference 27.1%
    • SA2: profile 76.7% · reference 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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