C. Viper
Updated 7 days agoSteamSteamJapanJapanC100%

hari

Let's Do This
Rank 36MR 1,517#186,617
Last 107–3+33Last 2010–10+3
Winrate
49%
70W · 73L · 143 stored
Ranked matches
143
selected mode
Wins
70
Ranked
Losses
73
Ranked
Peak MR
1,581
C. Viper

Ranked MR · C. Viper

143 local · 0 imported · 143 on chart · 145 battles stored

Latest game

VictoryRanked

Replay not requested
C. Viper
hari · C. Viper
Ryu
Opponent · RyuWAAT

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

C. Viper
hari’s C. Viper benchmark

Compared with the average habits of the top 30 sampled C. Viper players.

Kazunoko 2345 · Fuudo 2340 · Yoske 2257 · やまでステーキやきたい 2238 · Fujimura 2238 · +25 others

Largest absolute differences first23 habits
HabithariLegendsDifference LessLegendsMore
Drive Rush (cancel)0.3%18.1%-17.8%
SA318.3%29.7%-11.3%
Drive Arts13.3%22.2%-8.9%
SA230.0%22.2%+7.8%
SA145.0%40.4%+4.6%
Drive Rush (parry)3.8%7.3%-3.5%
Drive Guard11.7%14.7%-2.9%
Drive Impact gauge3.9%1.7%+2.3%
Time cornered9.708.60+1.10
CA6.7%7.7%-1.1%
Corner pressure9.8010.80-1.00
Drive Parry0.801.55-0.75
Perfect Parry0.100.71-0.61
Throws1.802.29-0.49
Got thrown1.802.20-0.40
Throw techs0.100.49-0.39
Got Punish Countered0.300.08+0.22
Drive Reversal0.100.24-0.14
Drive Impact0.100.17-0.07
Got stunned0.000.03-0.03
Stuns landed0.100.07+0.03
Throw parries0.200.21-0.01
Punish Counters landed0.100.10+0.00
FROM STATS TO PRACTICE

Match plan

Latest 100

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

  1. 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 this

    Recreate 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
  2. 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 this

    Record 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
  3. 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 this

    Pick 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

  1. 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 this

    Test 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
  2. 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 this

    Try 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
  3. 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 this

    Revisit 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

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