Latest game
VictoryCustom Room
YA
DEYAUpdated 1 day ago
Steam
JapanC100%
SteamJapanC100%nanashino
#KashiharaCity × Street Fighter
MR 1,714#23,645Last 106–4+9Last 2012–8+22
Winrate
59%
63W · 43L · 106 stored
Ranked matches
106
selected mode
Wins
63
Ranked
Losses
43
Ranked
Peak MR
1,736
Yasmine
Ranked MR · Yasmine
106 local · 0 imported · 106 on chart · 174 battles stored
Replay not requested
YADEPlaystyle reference
Habits vs top 30 Yasmine
Benchmark refreshed Sep 14, 2026, 10:26 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
YALargest absolute differences first23 habits
| Habit | nanashino | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 16.7% | 24.2% | -7.6% | |
| CA | 16.7% | 9.2% | +7.5% | |
| Drive Guard | 18.7% | 14.5% | +4.2% | |
| Drive Rush (cancel) | 25.9% | 29.7% | -3.8% | |
| Drive Arts | 14.3% | 17.5% | -3.2% | |
| Corner pressure | 10.60 | 13.01 | -2.41 | |
| SA3 | 37.9% | 35.7% | +2.2% | |
| SA1 | 28.8% | 30.9% | -2.1% | |
| Drive Parry | 2.70 | 1.90 | +0.80 | |
| Perfect Parry | 1.50 | 0.70 | +0.80 | |
| Drive Rush (parry) | 9.2% | 8.4% | +0.8% | |
| Time cornered | 9.40 | 9.07 | +0.33 | |
| Got thrown | 2.10 | 2.34 | -0.24 | |
| Throws | 2.40 | 2.52 | -0.12 | |
| Drive Impact gauge | 1.5% | 1.4% | +0.1% | |
| Throw techs | 0.40 | 0.48 | -0.08 | |
| Drive Impact | 0.10 | 0.17 | -0.07 | |
| Drive Reversal | 0.30 | 0.23 | +0.07 | |
| Got stunned | 0.10 | 0.06 | +0.04 | |
| Got Punish Countered | 0.10 | 0.06 | +0.04 | |
| Throw parries | 0.20 | 0.23 | -0.03 | |
| Stuns landed | 0.10 | 0.08 | +0.02 | |
| Punish Counters landed | 0.10 | 0.10 | -0.00 |
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.
Yasmine · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.2 · 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
- Punish Counters landed: profile 0.2 · reference 0.09
- Got Punish Countered: profile 0.1 · reference 0.06
Review defensive decisions
Perfect Parry: profile 1.1 · reference 0.74
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
- Perfect Parry: profile 1.1 · reference 0.74
- Drive Parry: profile 2.3 · reference 1.96
- Drive Reversal: profile 0.2 · reference 0.24
Give each meter spend a purpose
SA3: profile 51.9% · reference 36.9%
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 thisPractice 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
- SA3: profile 51.9% · reference 36.9%
- SA1: profile 16.7% · reference 32.1%
- CA: profile 3.7% · reference 10%
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Char 253: 363 wins in 654 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf 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: 363 wins in 654 games
- vs Marisa: 35 wins in 62 games
- vs Yasmine: 32 wins in 56 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free