Rashid
Updated 2 days agoCrossPlatformCrossPlatformJapanJapanC100%

リバサイ

I Hope Your Deuce is Dangerous
Rank 36MR 1,137#620,863
Last 104–6-14Last 209–11-17
Winrate
47%
88W · 98L · 186 stored
Ranked matches
186
selected mode
Wins
88
Ranked
Losses
98
Ranked
Peak MR
1,251
Rashid

Ranked MR · Rashid

186 local · 121 imported · 205 on chart · 186 battles stored

Latest game

DefeatRanked

Replay not requested
Rashid
リバサイ · Rashid
Luke
Opponent · Lukeよっちっちっちっち

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
リバサイ’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
HabitリバサイLegendsDifference LessLegendsMore
Drive Rush (cancel)7.5%32.1%-24.6%
Drive Impact gauge14.5%2.0%+12.5%
SA268.1%56.0%+12.0%
Drive Arts30.3%20.1%+10.3%
SA112.5%22.7%-10.2%
SA311.1%16.6%-5.5%
CA8.3%4.7%+3.7%
Drive Guard9.7%13.0%-3.3%
Drive Rush (parry)4.6%7.4%-2.8%
Corner pressure12.3015.02-2.72
Throws1.702.64-0.94
Drive Impact1.100.25+0.85
Time cornered10.109.52+0.58
Punish Counters landed0.700.13+0.57
Drive Parry1.201.77-0.57
Perfect Parry0.200.61-0.41
Drive Reversal0.000.31-0.31
Got thrown2.302.05+0.25
Got Punish Countered0.300.11+0.19
Stuns landed0.200.10+0.10
Throw techs0.400.37+0.03
Throw parries0.300.28+0.02
Got stunned0.100.08+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.

Rashid · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 1.1 · reference 0.25

    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 1.1 · reference 0.25
    • Drive Impact gauge: profile 14.5% · reference 2%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.7 · reference 0.13

    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
    • Punish Counters landed: profile 0.7 · reference 0.13
    • Got Punish Countered: profile 0.3 · reference 0.11
  3. Trace how you lose or gain space

    Corner pressure: profile 12.3 · reference 15.02

    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 12.3 · reference 15.02
    • Time cornered: profile 10.1 · reference 9.52

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 12, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 1.1 · reference 0.25

    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 1.1 · reference 0.25
    • Drive Impact gauge: profile 14.5% · reference 2%
  2. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.7 · reference 0.13

    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
    • Punish Counters landed: profile 0.7 · reference 0.13
    • Got Punish Countered: profile 0.3 · reference 0.11
  3. Probe defense before committing

    Drive Reversal: profile 0 · reference 0.31

    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 0.31
    • Drive Parry: profile 1.2 · reference 1.77
    • Perfect Parry: profile 0.2 · reference 0.61

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 12, 2026 · AI: dots-studio/dots-3-note-preview:free

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