Ryu
Updated 19 hours agoSteamSteamOtherOtherC92%

tori10

Let's Do This
Rank 31LP 19,528
Last 101–9Last 204–16
Winrate
32%
21W · 45L · 66 stored
Ranked matches
66
selected mode
Wins
21
Ranked
Losses
45
Ranked
Peak LP
20,107
Ryu

Ranked LP · Ryu

League points over time for this character

Latest game

DefeatRanked

Replay not requested
Zangief
tori10 · Zangief
Yasmine
Opponent · Yasmineくじらーーん

Playstyle reference

Habits vs top 30 Ryu

Benchmark refreshed Sep 14, 2026, 1:24 PM

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

Ryu
tori10’s Ryu benchmark

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

Shuto 2303 · Sahara 2231 · Tigger 2230 · hinao 2224 · SDUINJNKPAADQQE 2184 · +25 others

Largest absolute differences first23 habits
Habittori10LegendsDifference LessLegendsMore
SA161.5%34.2%+27.3%
SA315.4%37.6%-22.2%
Drive Rush (cancel)23.3%38.7%-15.4%
Drive Impact gauge11.6%1.1%+10.5%
Corner pressure4.6011.48-6.88
SA214.4%19.3%-4.9%
Drive Arts23.0%18.8%+4.2%
Drive Guard9.1%11.3%-2.2%
Drive Rush (parry)4.4%5.8%-1.4%
Time cornered9.708.74+0.96
Drive Impact0.900.16+0.74
Drive Parry1.001.71-0.71
Got thrown2.702.07+0.63
Perfect Parry0.200.75-0.55
Throws2.802.29+0.51
Punish Counters landed0.400.07+0.33
Got Punish Countered0.400.07+0.33
CA8.7%8.9%-0.3%
Throw parries0.100.22-0.12
Throw techs0.400.45-0.05
Stuns landed0.100.06+0.04
Got stunned0.100.06+0.04
Drive Reversal0.100.11-0.01
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. Compare decisions across wins and losses

    Recent stored ranked sample: 21 wins in 61 games

    Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.

    Try this

    Write down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.

    Supporting stats
    • Recent stored ranked sample: 21 wins in 61 games
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.9 · 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 0.9 · reference 0.16
    • Drive Impact gauge: profile 11.6% · reference 1.1%
  3. Find the cause of punish events

    Got Punish Countered: profile 0.4 · reference 0.07

    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 0.4 · reference 0.07
    • Punish Counters landed: profile 0.4 · reference 0.08

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 14, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Separate a tendency from a one-off event

    Recent stored ranked sample: 21 wins in 61 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: 21 wins in 61 games
  2. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.4 · reference 0.07

    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 0.4 · reference 0.07
  3. Build pressure without overextending

    Corner pressure: profile 4.6 · 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 4.6 · reference 10.94
    • Time cornered: profile 9.7 · 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 14, 2026 · AI: nex-agi/nex-n2.5-mini:free

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