Rashid
Updated 5 days agoSteamSteamJapanJapanC100%

kibanajiki

Don't Ruffle My Feathers
Rank 36MR 1,428#476,232
Last 105–5+8Last 2010–10+8
Winrate
46%
23W · 27L · 50 stored
Ranked matches
50
selected mode
Wins
23
Ranked
Losses
27
Ranked
Peak MR
1,428
Rashid

Ranked MR · Rashid

11 local · 0 imported · 11 on chart · 50 battles stored

Latest game

VictoryRanked

Replay not requested
Rashid
kibanajiki · Rashid
Ingrid
Opponent · Ingridいとやん

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
kibanajiki’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
HabitkibanajikiLegendsDifference LessLegendsMore
SA217.4%56.0%-38.6%
SA354.3%16.6%+37.7%
CA26.1%4.7%+21.4%
SA12.2%22.7%-20.5%
Drive Rush (cancel)18.9%32.1%-13.2%
Drive Impact gauge8.5%2.0%+6.5%
Corner pressure9.9015.02-5.12
Drive Arts16.1%20.1%-3.9%
Time cornered7.509.52-2.02
Drive Rush (parry)5.6%7.4%-1.8%
Drive Guard11.7%13.0%-1.4%
Got thrown3.002.05+0.95
Throws2.002.64-0.64
Perfect Parry0.200.61-0.41
Punish Counters landed0.500.13+0.37
Drive Parry1.401.77-0.37
Drive Impact0.600.25+0.35
Got Punish Countered0.400.11+0.29
Drive Reversal0.400.31+0.09
Got stunned0.000.08-0.08
Throw parries0.200.28-0.08
Throw techs0.400.37+0.03
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. Find the cause of punish events

    Got Punish Countered: profile 0.5 · reference 0.11

    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 0.5 · reference 0.11
    • Punish Counters landed: profile 0.8 · reference 0.12
  2. Review defensive decisions

    Drive Parry: profile 0.8 · reference 1.73

    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 0.8 · reference 1.73
    • Perfect Parry: profile 0.2 · reference 0.63
    • Drive Reversal: profile 0.3 · reference 0.31
  3. Trace how you lose or gain space

    Corner pressure: profile 10.3 · reference 14.79

    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 10.3 · reference 14.79
    • Time cornered: profile 6.5 · reference 9.54

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 9, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Char 253: 530 wins in 1,081 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 Char 253: 530 wins in 1,081 games
    • vs Akuma: 59 wins in 101 games
    • vs Ryu: 51 wins in 92 games
  2. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.5 · 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 0.5 · reference 0.11
    • Punish Counters landed: profile 0.8 · reference 0.12
  3. Probe defense before committing

    Drive Parry: profile 0.8 · reference 1.73

    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 0.8 · reference 1.73
    • Perfect Parry: profile 0.2 · reference 0.63
    • Drive Reversal: profile 0.3 · reference 0.31

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 9, 2026 · AI: dots-studio/dots-3-note-preview:free

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