Ryu
Updated 1 week agoSteamSteamJapanJapanClub · NyajiGameC100%

にゃじ@YouTube

Let's Do This
Rank 36MR 2,018#717
Last 105–5-1Last 2014–6+60
Winrate
55%
43W · 35L · 78 stored
Ranked matches
78
selected mode
Wins
43
Ranked
Losses
35
Ranked
Peak MR
2,148
Ryu

Ranked MR · Ryu

78 local · 0 imported · 78 on chart · 78 battles stored

Latest game

VictoryRanked

Replay not requested
Ryu
にゃじ@YouTube · Ryu
M. Bison
Opponent · M. Bisonobiheart

Playstyle reference

Habits vs top 30 Ryu

Benchmark refreshed Sep 6, 2026, 7:23 PM

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

Ryu
にゃじ@YouTube’s Ryu benchmark

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

Shuto 2279 · Sahara 2204 · hinao 2167 · Tigger 2164 · sdfsdf 2136 · +25 others

Largest absolute differences first23 habits
Habitにゃじ@YouTubeLegendsDifference LessLegendsMore
SA28.6%20.3%-11.7%
CA20.0%9.4%+10.6%
Drive Arts12.6%18.9%-6.2%
SA340.0%35.4%+4.6%
SA131.4%34.9%-3.5%
Drive Guard15.1%11.9%+3.2%
Time cornered11.708.58+3.12
Corner pressure8.4010.94-2.54
Drive Rush (parry)8.2%6.4%+1.8%
Drive Parry2.601.69+0.91
Drive Rush (cancel)37.2%36.4%+0.7%
Throws2.702.20+0.50
Got thrown2.202.06+0.14
Drive Impact gauge1.0%1.1%-0.1%
Perfect Parry0.800.71+0.09
Punish Counters landed0.000.08-0.08
Drive Impact0.100.16-0.06
Drive Reversal0.100.15-0.05
Stuns landed0.100.05+0.05
Got stunned0.000.05-0.05
Throw techs0.400.44-0.04
Got Punish Countered0.100.07+0.03
Throw parries0.200.21-0.01
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.

Ryu · Latest 100

What to improve

  1. Find the cause of punish events

    Punish Counters landed: profile 0 · reference 0.08

    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 · reference 0.08
    • Got Punish Countered: profile 0.1 · reference 0.07
  2. Give each meter spend a purpose

    SA2: profile 8.6% · reference 20.3%

    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
    • SA2: profile 8.6% · reference 20.3%
    • CA: profile 20% · reference 9.4%
    • Drive Arts: profile 12.6% · reference 18.9%
  3. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.1 · reference 0.16

    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 0.1 · reference 0.16
    • Drive Impact gauge: profile 1% · reference 1.1%

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 4, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Probe defense before committing

    Drive Parry: profile 2.6 · 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 2.6 · reference 1.69
    • Perfect Parry: profile 0.8 · reference 0.71
  2. Test the close-range pattern

    Throws: profile 2.7 · reference 2.2

    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 2.7 · reference 2.2
    • Throw techs: profile 0.4 · reference 0.44
    • Got thrown: profile 2.2 · reference 2.06
  3. Build pressure without overextending

    Corner pressure: profile 8.4 · reference 10.94

    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 8.4 · reference 10.94
    • Time cornered: profile 11.7 · reference 8.58

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 4, 2026 · AI: dots-studio/dots-3-note-preview:free

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