Ryu
Updated 1 day agoSteamSteamJapanJapanC100%

Sekiganryu

Found Someone Stronger
Rank 36MR 2,095#395
Last 106–4+14Last 2012–8+9
Winrate
50%
84W · 83L · 167 stored
Ranked matches
167
selected mode
Wins
84
Ranked
Losses
83
Ranked
Peak MR
2,122
Ryu

Ranked MR · Ryu

167 local · 0 imported · 167 on chart · 170 battles stored

Latest game

VictoryRanked

Replay not requested
Ryu
Sekiganryu · Ryu
Rashid
Opponent · RashidM.YooHoo

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
Sekiganryu’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
HabitSekiganryuLegendsDifference LessLegendsMore
SA28.9%20.3%-11.4%
Drive Arts26.7%18.9%+7.8%
Drive Rush (cancel)31.1%36.4%-5.3%
Corner pressure5.8010.94-5.14
CA13.9%9.4%+4.5%
SA339.2%35.4%+3.8%
Drive Guard8.4%11.9%-3.5%
Drive Rush (parry)3.2%6.4%-3.2%
SA138.0%34.9%+3.1%
Time cornered9.808.58+1.22
Drive Impact gauge0.5%1.1%-0.6%
Throws1.602.20-0.60
Drive Parry1.401.69-0.29
Throw techs0.700.44+0.26
Got thrown2.202.06+0.14
Punish Counters landed0.000.08-0.08
Drive Impact0.100.16-0.06
Stuns landed0.000.05-0.05
Drive Reversal0.200.15+0.05
Got stunned0.000.05-0.05
Got Punish Countered0.100.07+0.03
Perfect Parry0.700.71-0.01
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. Trace how you lose or gain space

    Corner pressure: profile 5.8 · reference 10.94

    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 5.8 · reference 10.94
    • Time cornered: profile 9.8 · 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 12, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Char 253: 492 wins in 906 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: 492 wins in 906 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 48 wins in 100 games

    Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

    Try this

    Use the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.

    Supporting stats
    • Recent stored ranked sample: 48 wins in 100 games

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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