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C.
LUC.Updated 4 hours ago
Steam
JapanClub · over40sC100%
SteamJapanClub · over40sC100%Omutsu
Loving Mother
MR 1,710#25,190Last 109–1+59Last 2015–5+76
Winrate
62%
23W · 14L · 37 stored
Ranked matches
37
selected mode
Wins
23
Ranked
Losses
14
Ranked
Peak MR
1,710
C. Viper
Ranked MR · C. Viper
37 local · 0 imported · 37 on chart · 256 battles stored
Replay not requested
C.LUPlaystyle reference
Habits vs top 30 C. Viper
Benchmark refreshed Sep 2, 2026, 10:16 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
C.Largest absolute differences first23 habits
| Habit | Omutsu | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Arts | 10.3% | 23.2% | -12.9% | |
| SA1 | 57.5% | 45.0% | +12.5% | |
| Drive Rush (cancel) | 7.4% | 16.4% | -9.0% | |
| SA2 | 13.8% | 21.5% | -7.7% | |
| Corner pressure | 7.10 | 11.07 | -3.97 | |
| Drive Guard | 17.7% | 14.2% | +3.5% | |
| Time cornered | 11.30 | 8.66 | +2.64 | |
| SA3 | 24.1% | 26.8% | -2.6% | |
| CA | 4.6% | 6.8% | -2.2% | |
| Drive Rush (parry) | 9.2% | 7.3% | +1.8% | |
| Throws | 1.70 | 2.28 | -0.58 | |
| Drive Impact gauge | 2.2% | 1.8% | +0.5% | |
| Got thrown | 2.40 | 2.19 | +0.21 | |
| Drive Parry | 1.70 | 1.52 | +0.18 | |
| Got Punish Countered | 0.20 | 0.07 | +0.13 | |
| Perfect Parry | 0.50 | 0.63 | -0.13 | |
| Got stunned | 0.10 | 0.02 | +0.08 | |
| Throw techs | 0.40 | 0.47 | -0.07 | |
| Drive Impact | 0.20 | 0.16 | +0.04 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Drive Reversal | 0.30 | 0.28 | +0.02 | |
| Throw parries | 0.20 | 0.21 | -0.01 | |
| Punish Counters landed | 0.10 | 0.09 | +0.01 |
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
Find the cause of punish events
Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.07
Make Drive Impact a deliberate choice
Drive Impact: profile 0.2 · 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 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 0.2 · reference 0.16
- Drive Impact gauge: profile 3% · reference 1.8%
Trace how you lose or gain space
Corner pressure: profile 7.9 · reference 11.07
Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.
Try thisRecreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.
Supporting stats
- Corner pressure: profile 7.9 · reference 11.07
- Time cornered: profile 8.6 · 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 12, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Ingrid: 133 wins in 218 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 Ingrid: 133 wins in 218 games
- vs Yasmine: 59 wins in 120 games
- vs Ed: 53 wins in 83 games
Separate a tendency from a one-off event
Recent stored ranked sample: 23 wins in 37 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse 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: 23 wins in 37 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.2 · 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 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 0.2 · reference 0.07
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 12, 2026 · AI: dots-studio/dots-3-note-preview:free