Latest game
DefeatRanked
RY
YA
MAUpdated 13 hours ago
Steam
JapanClub · MeowAttackC97%
SteamJapanClub · MeowAttackC97%keema_curry
It All Begins with Ryu
MR 1,381#556,662Last 102–8Last 204–16
Winrate
39%
58W · 92L · 150 stored
Ranked matches
150
selected mode
Wins
58
Ranked
Losses
92
Ranked
Peak MR
1,449
Manon
Ranked MR · Manon
93 local · 156 imported · 249 on chart · 159 battles stored
Replay not requested
RYYAPlaystyle reference
Habits vs top 30 Manon
Benchmark refreshed Sep 7, 2026, 7:24 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | keema_curry | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 19.0% | 9.7% | +9.3% | |
| SA2 | 24.1% | 32.1% | -7.9% | |
| Drive Arts | 16.3% | 11.3% | +5.0% | |
| Corner pressure | 5.50 | 8.16 | -2.66 | |
| Drive Rush (cancel) | 40.5% | 43.0% | -2.5% | |
| Drive Impact gauge | 4.2% | 1.8% | +2.4% | |
| SA3 | 31.0% | 32.9% | -1.8% | |
| Throws | 1.10 | 2.53 | -1.43 | |
| Drive Guard | 12.6% | 11.3% | +1.3% | |
| Drive Rush (parry) | 6.2% | 5.0% | +1.1% | |
| SA1 | 25.9% | 25.4% | +0.4% | |
| Throw techs | 0.20 | 0.56 | -0.36 | |
| Drive Parry | 1.50 | 1.80 | -0.30 | |
| Perfect Parry | 0.40 | 0.64 | -0.24 | |
| Drive Reversal | 0.10 | 0.30 | -0.20 | |
| Drive Impact | 0.40 | 0.22 | +0.18 | |
| Punish Counters landed | 0.30 | 0.14 | +0.16 | |
| Time cornered | 8.60 | 8.72 | -0.12 | |
| Throw parries | 0.10 | 0.20 | -0.10 | |
| Got Punish Countered | 0.20 | 0.11 | +0.09 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.00 | 0.06 | -0.06 | |
| Got thrown | 2.30 | 2.28 | +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.
Manon · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.5 · reference 0.21
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord 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 0.5 · reference 0.21
- Drive Impact gauge: profile 3.5% · reference 1.7%
Find the cause of punish events
Got Punish Countered: profile 0.3 · reference 0.1
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 0.1
- Punish Counters landed: profile 0.4 · reference 0.16
Review defensive decisions
Drive Parry: profile 2.9 · reference 1.75
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
- Drive Parry: profile 2.9 · reference 1.75
- Perfect Parry: profile 0.9 · reference 0.63
- Drive Reversal: profile 0.3 · reference 0.29
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
Test the Drive Impact tendency
Drive Impact: profile 0.5 · reference 0.21
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 0.5 · reference 0.21
- Drive Impact gauge: profile 3.5% · reference 1.7%
Probe defense before committing
Drive Parry: profile 2.9 · reference 1.75
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 2.9 · reference 1.75
- Perfect Parry: profile 0.9 · reference 0.63
- Drive Reversal: profile 0.3 · reference 0.29
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.3 · reference 0.1
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 0.1
- Punish Counters landed: profile 0.4 · reference 0.16
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
JP · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.2 · reference 0.13
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 0.13
- Got Punish Countered: profile 0.2 · reference 0.08
Review close-range choices
Throws: profile 1.1 · reference 1.97
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 1.1 · reference 1.97
- Throw techs: profile 0.2 · reference 0.39
- Got thrown: profile 2.2 · reference 2.13
Study a recurring matchup situation
vs Ryu: 13 wins in 30 games
Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.
Try thisPick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.
Supporting stats
- vs Ryu: 13 wins in 30 games
- vs Ken: 13 wins in 20 games
- vs Ingrid: 8 wins in 18 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
Punish Counters landed: profile 0.2 · reference 0.13
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
- Punish Counters landed: profile 0.2 · reference 0.13
- Got Punish Countered: profile 0.2 · reference 0.08
Test the Drive Impact tendency
Drive Impact: profile 0.3 · reference 0.34
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 0.3 · reference 0.34
- Drive Impact gauge: profile 4.1% · reference 2.1%
Use matchup records as scouting leads
vs Ryu: 13 wins in 30 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 Ryu: 13 wins in 30 games
- vs Ken: 13 wins in 20 games
- vs Ingrid: 8 wins in 18 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