Latest game
VictoryRanked
SA
YASAUpdated 11 hours ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%ゆうりん
Let's Do This
MR 1,471#404,096Last 107–3+33Last 2010–100
Winrate
40%
12W · 18L · 30 stored
Ranked matches
30
selected mode
Wins
12
Ranked
Losses
18
Ranked
Peak MR
1,471
Sagat
Ranked MR · Sagat
30 local · 112 imported · 117 on chart · 30 battles stored
Replay not requested
SAYAPlaystyle reference
Habits vs top 30 Sagat
Benchmark refreshed Sep 13, 2026, 10:18 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
SALargest absolute differences first23 habits
| Habit | ゆうりん | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 0.0% | 26.4% | -26.4% | |
| SA3 | 57.9% | 39.9% | +18.0% | |
| Drive Rush (cancel) | 51.3% | 34.0% | +17.3% | |
| Drive Guard | 7.3% | 14.2% | -6.9% | |
| Drive Arts | 9.3% | 16.0% | -6.8% | |
| CA | 15.8% | 9.1% | +6.7% | |
| Drive Rush (parry) | 2.8% | 8.4% | -5.7% | |
| Corner pressure | 7.70 | 12.43 | -4.73 | |
| Time cornered | 13.40 | 8.88 | +4.52 | |
| SA1 | 26.3% | 24.6% | +1.7% | |
| Perfect Parry | 0.10 | 0.74 | -0.64 | |
| Drive Impact gauge | 1.8% | 1.3% | +0.5% | |
| Drive Parry | 1.40 | 1.81 | -0.41 | |
| Throw techs | 0.10 | 0.46 | -0.36 | |
| Throws | 1.90 | 2.23 | -0.33 | |
| Got Punish Countered | 0.30 | 0.09 | +0.21 | |
| Got thrown | 2.40 | 2.21 | +0.19 | |
| Drive Reversal | 0.10 | 0.24 | -0.14 | |
| Punish Counters landed | 0.20 | 0.11 | +0.09 | |
| Stuns landed | 0.00 | 0.08 | -0.08 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Throw parries | 0.30 | 0.25 | +0.05 | |
| Drive Impact | 0.20 | 0.18 | +0.02 |
FROM STATS TO PRACTICE
Latest 100Match plan
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.
Sagat · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.3 · reference 0.09
Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.
Try thisRecreate 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 0.3 · reference 0.09
- Punish Counters landed: profile 0.2 · reference 0.11
Review defensive decisions
Got thrown: profile 2.4 · reference 2.21
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 thisRecord 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
- Got thrown: profile 2.4 · reference 2.21
- Throw techs: profile 0.1 · reference 0.46
Compare decisions across wins and losses
Recent stored ranked sample: 11 wins in 26 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 thisWrite 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: 11 wins in 26 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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.3 · reference 0.09
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 thisTest 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 0.3 · reference 0.09
- Punish Counters landed: profile 0.2 · reference 0.11
Probe defense before committing
Got thrown: profile 2.4 · reference 2.21
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 thisTry 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
- Got thrown: profile 2.4 · reference 2.21
- Throw techs: profile 0.1 · reference 0.46
Test the Drive Impact tendency
Drive Impact: profile 0.2 · reference 0.18
Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.
Try thisRevisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.
Supporting stats
- Drive Impact: profile 0.2 · reference 0.18
- Drive Impact gauge: profile 1.8% · reference 1.3%
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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free