Rashid
SteamSteamOtherOtherC100%

ウサテッコウ

Team G8S
Rank 36MR 1,485#337,264
Last 106–4+14Last 2013–7+45
Winrate
61%
23W · 15L · 38 stored
Ranked matches
38
selected mode
Wins
23
Ranked
Losses
15
Ranked
Peak MR
1,557
Rashid

Ranked MR · Rashid

38 local · 0 imported · 38 on chart · 38 battles stored

Latest game

VictoryRanked

Replay not requested
Rashid
ウサテッコウ · Rashid
C. Viper
Opponent · C. ViperAst1230

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
ウサテッコウ’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ウサテッコウLegendsDifference LessLegendsMore
SA279.6%56.0%+23.6%
SA34.6%16.6%-12.0%
SA114.8%22.7%-7.9%
Drive Guard16.9%13.0%+3.9%
CA0.9%4.7%-3.7%
Drive Arts16.6%20.1%-3.5%
Time cornered12.909.52+3.38
Corner pressure11.8015.02-3.22
Drive Rush (cancel)29.6%32.1%-2.6%
Got thrown3.402.05+1.35
Drive Parry2.801.77+1.03
Throws2.002.64-0.64
Drive Rush (parry)8.1%7.4%+0.6%
Perfect Parry1.200.61+0.59
Throw techs0.800.37+0.43
Drive Reversal0.000.31-0.31
Stuns landed0.000.10-0.10
Drive Impact gauge1.9%2.0%-0.1%
Got Punish Countered0.200.11+0.09
Punish Counters landed0.200.13+0.07
Drive Impact0.200.25-0.05
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. Find the cause of punish events

    Punish Counters landed: profile 0.2 · 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 0.2 · reference 0.13
    • Got Punish Countered: profile 0.2 · reference 0.11
  2. Review defensive decisions

    Drive Parry: profile 2.8 · 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 2.8 · reference 1.66
    • Perfect Parry: profile 1.2 · reference 0.6
    • Drive Reversal: profile 0 · reference 0.35
  3. Trace how you lose or gain space

    Corner pressure: profile 11.8 · 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 11.8 · reference 14.49
    • Time cornered: profile 12.9 · 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. Probe defense before committing

    Drive Parry: profile 2.8 · reference 1.66

    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 2.8 · reference 1.66
    • Perfect Parry: profile 1.2 · reference 0.6
    • Throw techs: profile 0.8 · reference 0.37
  2. Build pressure without overextending

    Corner pressure: profile 11.8 · reference 14.49

    Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.

    Try this

    Test one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.

    Supporting stats
    • Corner pressure: profile 11.8 · reference 14.49
    • Time cornered: profile 12.9 · reference 8.96
  3. Test the close-range pattern

    Got thrown: profile 3.4 · reference 2.05

    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
    • Got thrown: profile 3.4 · reference 2.05
    • Throws: profile 2 · reference 2.58

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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