C. Viper
Updated 4 days agoSteamSteamJapanJapanClub · over40sC100%

Omutsu

Loving Mother
Rank 41
MR 1,710#25,190
Last 108–2+51Last 2016–4+94
Winrate
63%
25W · 15L · 40 stored
Ranked matches
40
selected mode
Wins
25
Ranked
Losses
15
Ranked
Peak MR
1,714
C. Viper

Ranked MR · C. Viper

40 local · 20 imported · 60 on chart · 264 battles stored

Latest game

VictoryRanked

Replay not requested
C. Viper
Omutsu · C. Viper
Terry
Opponent · Terry@和泉竜@

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
Omutsu’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
HabitOmutsuLegendsDifference LessLegendsMore
SA157.5%40.4%+17.1%
Drive Arts10.3%22.2%-11.9%
Drive Rush (cancel)7.4%18.1%-10.7%
SA213.8%22.2%-8.4%
SA324.1%29.7%-5.5%
Corner pressure7.1010.80-3.70
CA4.6%7.7%-3.2%
Drive Guard17.7%14.7%+3.0%
Time cornered11.308.60+2.70
Drive Rush (parry)9.2%7.3%+1.9%
Throws1.702.29-0.59
Drive Impact gauge2.2%1.7%+0.6%
Perfect Parry0.500.71-0.21
Got thrown2.402.20+0.20
Drive Parry1.701.55+0.15
Got Punish Countered0.200.08+0.12
Throw techs0.400.49-0.09
Got stunned0.100.03+0.07
Drive Reversal0.300.24+0.06
Drive Impact0.200.17+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 0.2 · 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 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 0.2 · reference 0.07
  2. 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 this

    Record 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%
  3. 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 this

    Recreate 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

  1. 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 this

    If 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
  2. 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 this

    Use 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
  3. 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 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 0.2 · 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

Public data

Public statistics and datasets

Results from 264 of 264 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
143games
Losses
121games
Draws
0games
Games
264games
Win rate (draw = half win)
54.17%
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. winRate Displayed to two decimal places; JSON retains full precision.

Current saved character ratings

7 rows

Scroll if needed to compare columns. Expand Details for the remaining fields.

Current saved character ratings. 7 rows on page 1; 7 rows total.
CharacterMRMR pointsLPLP pointsDetails
Manon0-1
Details for Current saved character ratings, row 1
Character ID
5
Zangief0-1
Details for Current saved character ratings, row 2
Character ID
6
A.K.I.0-1
Details for Current saved character ratings, row 3
Character ID
13
Mai0-1
Details for Current saved character ratings, row 4
Character ID
28
C. Viper1,710131,279
Details for Current saved character ratings, row 5
Character ID
30
Alex0-1
Details for Current saved character ratings, row 6
Character ID
31
Yasmine0-1
Details for Current saved character ratings, row 7
Character ID
33
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.

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