Latest game
VictoryRanked
C.
RA
YAUpdated 1 week ago
Steam
JapanClub · tokikakeC100%
SteamJapanClub · tokikakeC100%Reolak
GG
MR 1,803#8,871Last 106–4+17Last 2013–7+54
Winrate
69%
22W · 10L · 32 stored
Ranked matches
32
selected mode
Wins
22
Ranked
Losses
10
Ranked
Peak MR
1,803
Yasmine
Ranked MR · Yasmine
32 local · 0 imported · 32 on chart · 107 battles stored
Not enough ranked MR points in this range yet.
Replay not requested
C.RAPlaystyle 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 | Reolak | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 19.6% | 35.7% | -16.0% | |
| SA1 | 43.8% | 30.9% | +12.9% | |
| SA2 | 30.4% | 24.2% | +6.1% | |
| CA | 6.3% | 9.2% | -3.0% | |
| Drive Rush (parry) | 6.3% | 8.4% | -2.1% | |
| Corner pressure | 15.00 | 13.01 | +1.99 | |
| Drive Rush (cancel) | 31.1% | 29.7% | +1.4% | |
| Drive Parry | 3.10 | 1.90 | +1.20 | |
| Drive Guard | 15.6% | 14.5% | +1.1% | |
| Drive Arts | 18.5% | 17.5% | +1.0% | |
| Throws | 1.60 | 2.52 | -0.92 | |
| Perfect Parry | 1.20 | 0.70 | +0.50 | |
| Throw techs | 0.10 | 0.48 | -0.38 | |
| Got thrown | 2.00 | 2.34 | -0.34 | |
| Drive Impact gauge | 1.3% | 1.4% | -0.1% | |
| Drive Reversal | 0.30 | 0.23 | +0.07 | |
| Time cornered | 9.00 | 9.07 | -0.07 | |
| Got Punish Countered | 0.00 | 0.06 | -0.06 | |
| Got stunned | 0.10 | 0.06 | +0.04 | |
| Throw parries | 0.20 | 0.23 | -0.03 | |
| Drive Impact | 0.20 | 0.17 | +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.
C. Viper · Latest 100
What to improve
Review close-range choices
Throw techs: profile 0.1 · reference 0.47
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.
Supporting stats
- Throw techs: profile 0.1 · reference 0.47
- Got thrown: profile 2 · reference 2.19
Give each meter spend a purpose
Drive Rush (cancel): profile 31.1% · reference 16.4%
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
- Drive Rush (cancel): profile 31.1% · reference 16.4%
- Drive Arts: profile 18.5% · reference 23.2%
Find the cause of punish events
Got Punish Countered: profile 0 · 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 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 · reference 0.07
- Punish Counters landed: profile 0.1 · reference 0.09
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 5, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Probe defense before committing
Drive Parry: profile 3.1 · reference 1.52
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
- Drive Parry: profile 3.1 · reference 1.52
- Perfect Parry: profile 1.2 · reference 0.63
Test the Drive Impact tendency
Drive Impact: profile 0.2 · reference 0.16
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 0.16
- Drive Impact gauge: profile 1.3% · reference 1.8%
Build pressure without overextending
Corner pressure: profile 15 · reference 11.07
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 thisTest 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 15 · reference 11.07
- Time cornered: profile 9 · reference 8.66
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 5, 2026 · AI: dots-studio/dots-3-note-preview:free
Yasmine · Latest 100
What to improve
Review close-range choices
Throws: profile 1.6 · reference 2.59
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.
Supporting stats
- Throws: profile 1.6 · reference 2.59
- Throw techs: profile 0.1 · reference 0.49
- Got thrown: profile 2 · reference 2.31
Find the cause of punish events
Punish Counters landed: profile 0.1 · 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 0.1 · reference 0.09
- Got Punish Countered: profile 0 · reference 0.06
Give each meter spend a purpose
SA3: profile 19.6% · 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 19.6% · reference 36.9%
- CA: profile 6.3% · reference 10%
- SA1: profile 43.8% · reference 32.1%
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 5, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Alex: 79 wins in 100 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 Alex: 79 wins in 100 games
- vs Terry: 58 wins in 74 games
- vs Yasmine: 33 wins in 50 games
Test the Drive Impact tendency
Drive Impact: profile 0.2 · reference 0.19
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 0.19
- Drive Impact gauge: profile 1.3% · reference 1.4%
Probe defense before committing
Drive Parry: profile 3.1 · reference 1.96
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
- Drive Parry: profile 3.1 · reference 1.96
- Perfect Parry: profile 1.2 · reference 0.74
- Drive Reversal: profile 0.3 · reference 0.24
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 5, 2026 · AI: dots-studio/dots-3-note-preview:free