Latest game
VictoryRanked
CVhari · C. Viper
BOpponent · Blankaまみみや
CV
Updated 2 weeks agoSteamJapanC100%
hari
Let's Do This
None
R36
Last 107–3+30Last 2012–8+33
Winrate
49%
74W · 76L · 150 stored
Ranked matches
150
selected mode
Wins
74
Ranked
Losses
76
Ranked
Peak MR
1,581
C. Viper
Ranked MR · C. Viper
150 local · 0 imported · 150 on chart · 152 battles stored
Replay not requested
Playstyle reference
Habits vs top 30 C. Viper
Benchmark refreshed Sep 14, 2026, 1:28 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
CV
Largest absolute differences first23 habits
| Habit | hari | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 0.3% | 18.1% | -17.8% | |
| SA3 | 18.3% | 29.7% | -11.3% | |
| Drive Arts | 13.3% | 22.2% | -8.9% | |
| SA2 | 30.0% | 22.2% | +7.8% | |
| SA1 | 45.0% | 40.4% | +4.6% | |
| Drive Rush (parry) | 3.8% | 7.3% | -3.5% | |
| Drive Guard | 11.7% | 14.7% | -2.9% | |
| Drive Impact gauge | 3.9% | 1.7% | +2.3% | |
| Time cornered | 9.70 | 8.60 | +1.10 | |
| CA | 6.7% | 7.7% | -1.1% | |
| Corner pressure | 9.80 | 10.80 | -1.00 | |
| Drive Parry | 0.80 | 1.55 | -0.75 | |
| Perfect Parry | 0.10 | 0.71 | -0.61 | |
| Throws | 1.80 | 2.29 | -0.49 | |
| Got thrown | 1.80 | 2.20 | -0.40 | |
| Throw techs | 0.10 | 0.49 | -0.39 | |
| Got Punish Countered | 0.30 | 0.08 | +0.22 | |
| Drive Reversal | 0.10 | 0.24 | -0.14 | |
| Drive Impact | 0.10 | 0.17 | -0.07 | |
| Got stunned | 0.00 | 0.03 | -0.03 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Throw parries | 0.20 | 0.21 | -0.01 | |
| 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
Find the cause of punish events
Got Punish Countered: profile 0.3 · 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 0.3 · reference 0.07
- Punish Counters landed: profile 0.1 · reference 0.09
Review defensive decisions
Drive Parry: profile 0.8 · reference 1.52
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 0.8 · reference 1.52
- Perfect Parry: profile 0.1 · reference 0.63
- Drive Reversal: profile 0.1 · reference 0.28
Study a recurring matchup situation
vs Luke: 22 wins in 36 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 Luke: 22 wins in 36 games
- vs Cammy: 6 wins in 23 games
- vs Ken: 9 wins in 23 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 7, 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 0.07
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 0.3 · reference 0.07
- Punish Counters landed: profile 0.1 · reference 0.09
Probe defense before committing
Drive Parry: profile 0.8 · 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 0.8 · reference 1.52
- Perfect Parry: profile 0.1 · reference 0.63
- Drive Reversal: profile 0.1 · reference 0.28
Test the Drive Impact tendency
Drive Impact: profile 0.1 · 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 0.1 · reference 0.16
- Drive Impact gauge: profile 3.9% · reference 1.8%
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 7, 2026 · AI: nex-agi/nex-n2.5-pro:free
Public data
Public statistics and datasets
Results from 152 of 152 stored matches. Explore the datasets for the full saved history.
Results in stored match sample
1 row- Wins
- 76games
- Losses
- 76games
- Draws
- 0games
- Games
- 152games
- Win rate (draw = half win)
- 50%
Field definitions 5 fields
- Wins
- Wins · games.
wins - Losses
- Losses · games.
losses - Draws
- Draws · games.
draws - Games
- Games · games.
total - Win rate (draw = half win)
- Win rate (draw = half win) · percent.
winRateDisplayed to two decimal places; JSON retains full precision.
Current saved character ratings
8 rowsScroll if needed to compare columns. Expand Details for the remaining fields.
| Character | MRMR points | LPLP points | Details |
|---|---|---|---|
| Manon | 0 | -1 | Details for Current saved character ratings, row 1
|
| JP | 0 | -1 | Details for Current saved character ratings, row 2
|
| Lily | 0 | -1 | Details for Current saved character ratings, row 3
|
| Marisa | 0 | -1 | Details for Current saved character ratings, row 4
|
| Akuma | 0 | -1 | Details for Current saved character ratings, row 5
|
| Sagat | 0 | -1 | Details for Current saved character ratings, row 6
|
| C. Viper | 1,517 | 155,014 | Details for Current saved character ratings, row 7
|
| Random | 0 | -1 | Details for Current saved character ratings, row 8
|
Field definitions 4 fields
- Character ID
- Character ID · identifier.
characterId - Character
- Character · text.
character - MR
- Master Rating · MR points.
mr - LP
- League Points · LP points.
lp
Last saved update: .
Latest saved profile; local results cover at most the newest 10,000 stored matches across all modes.