C. Viper
SteamSteamJapanJapanM100%

NORI

Let's Do This
Rank 36MR 1,485#337,674
Last 106–4+20Last 208–12-26
Winrate
42%
10W · 14L · 24 stored
Ranked matches
24
selected mode
Wins
10
Ranked
Losses
14
Ranked
Peak MR
1,519
C. Viper

Ranked MR · C. Viper

24 local · 0 imported · 24 on chart · 30 battles stored

Latest game

VictoryRanked

Replay not requested
C. Viper
NORI · C. Viper
Ingrid
Opponent · Ingridkaju100%

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
NORI’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
HabitNORILegendsDifference LessLegendsMore
SA370.1%29.7%+40.5%
SA13.0%40.4%-37.4%
Drive Rush (cancel)0.8%18.1%-17.3%
Drive Impact gauge8.6%1.7%+6.9%
Drive Guard21.3%14.7%+6.6%
Drive Arts16.1%22.2%-6.1%
SA216.4%22.2%-5.8%
Corner pressure5.1010.80-5.70
Drive Rush (parry)10.3%7.3%+3.0%
CA10.4%7.7%+2.7%
Time cornered10.208.60+1.60
Got thrown2.702.20+0.50
Throws2.702.29+0.41
Drive Impact0.500.17+0.33
Perfect Parry0.500.71-0.21
Punish Counters landed0.300.10+0.20
Got Punish Countered0.200.08+0.12
Throw techs0.400.49-0.09
Stuns landed0.000.07-0.07
Drive Reversal0.300.24+0.06
Drive Parry1.601.55+0.05
Got stunned0.000.03-0.03
Throw parries0.200.21-0.01
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

    Punish Counters landed: profile 0.3 · 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 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
    • Punish Counters landed: profile 0.3 · reference 0.09
    • Got Punish Countered: profile 0.2 · reference 0.07
  2. Review defensive decisions

    Drive Parry: profile 1.6 · 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 1.6 · reference 1.52
    • Perfect Parry: profile 0.5 · reference 0.63
    • Drive Reversal: profile 0.3 · reference 0.28
  3. Give each meter spend a purpose

    SA1: profile 3% · reference 45%

    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 this

    Practice 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
    • SA1: profile 3% · reference 45%
    • SA3: profile 70.1% · reference 26.8%
    • Drive Arts: profile 16.1% · reference 23.2%

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: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.5 · 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 0.5 · reference 0.16
    • Drive Impact gauge: profile 8.6% · reference 1.8%
  2. Test the close-range pattern

    Throws: profile 2.7 · reference 2.28

    Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

    Try this

    If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

    Supporting stats
    • Throws: profile 2.7 · reference 2.28
    • Got thrown: profile 2.7 · reference 2.19
  3. Build pressure without overextending

    Corner pressure: profile 5.1 · 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 this

    Test 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 5.1 · reference 11.07
    • Time cornered: profile 10.2 · 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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