C. Viper
Updated 7 days agoSteamSteamJapanJapanC100%

もちもちのかぶとむし

Fledgling
Rank 36MR 1,539#148,001
Last 102–8-46Last 209–11-11
Winrate
52%
34W · 31L · 65 stored
Ranked matches
65
selected mode
Wins
34
Ranked
Losses
31
Ranked
Peak MR
1,539
C. Viper

Ranked MR · C. Viper

65 local · 0 imported · 65 on chart · 65 battles stored

Latest game

DefeatRanked

Replay not requested
C. Viper
もちもちのかぶとむし · C. Viper
JP
Opponent · JPBABON

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
もちもちのかぶとむし’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
HabitもちもちのかぶとむしLegendsDifference LessLegendsMore
SA237.9%22.2%+15.7%
SA127.6%40.4%-12.8%
Drive Arts9.8%22.2%-12.4%
Drive Guard7.9%14.7%-6.7%
Drive Rush (parry)2.3%7.3%-5.0%
Corner pressure6.3010.80-4.50
SA325.9%29.7%-3.8%
Time cornered11.608.60+3.00
Got thrown3.502.20+1.30
Throws1.102.29-1.19
CA8.6%7.7%+0.9%
Drive Parry1.101.55-0.45
Drive Rush (cancel)17.7%18.1%-0.4%
Perfect Parry0.300.71-0.41
Drive Impact gauge1.9%1.7%+0.2%
Throw parries0.100.21-0.11
Got Punish Countered0.000.08-0.08
Drive Impact0.100.17-0.07
Got stunned0.100.03+0.07
Drive Reversal0.200.24-0.04
Stuns landed0.100.07+0.03
Throw techs0.500.49+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. Review close-range choices

    Throws: profile 1.1 · reference 2.28

    Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.

    Try this

    Replay 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 2.28
    • Got thrown: profile 3.5 · reference 2.19
    • Throw techs: profile 0.5 · reference 0.47
  2. Review defensive decisions

    Drive Reversal: profile 0.2 · reference 0.28

    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 Reversal: profile 0.2 · reference 0.28
  3. Give each meter spend a purpose

    SA2: profile 37.9% · reference 21.5%

    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
    • SA2: profile 37.9% · reference 21.5%
    • SA1: profile 27.6% · reference 45%
    • Drive Arts: profile 9.8% · 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. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0 · 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 · reference 0.07
  2. 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 1.9% · reference 1.8%
  3. Build pressure without overextending

    Corner pressure: profile 6.3 · 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 6.3 · reference 11.07
    • Time cornered: profile 11.6 · 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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