Latest game
VictoryRanked
C.
MAC.Updated 1 week ago
Steam
OtherC100%
SteamOtherC100%osakana
Let's Do This
MR 1,508#210,150Last 108–2+50Last 2011–9+19
Winrate
47%
101W · 114L · 215 stored
Ranked matches
215
selected mode
Wins
101
Ranked
Losses
114
Ranked
Peak MR
1,543
C. Viper
Ranked MR · C. Viper
208 local · 0 imported · 208 on chart · 215 battles stored
Replay not requested
C.MAPlaystyle 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.Largest absolute differences first23 habits
| Habit | osakana | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 36.4% | 18.1% | +18.3% | |
| SA2 | 34.6% | 22.2% | +12.4% | |
| SA3 | 17.3% | 29.7% | -12.4% | |
| Drive Arts | 14.3% | 22.2% | -7.9% | |
| Drive Guard | 8.9% | 14.7% | -5.8% | |
| Drive Rush (parry) | 4.3% | 7.3% | -2.9% | |
| Drive Impact gauge | 4.3% | 1.7% | +2.6% | |
| Time cornered | 9.90 | 8.60 | +1.30 | |
| CA | 6.7% | 7.7% | -1.0% | |
| SA1 | 41.3% | 40.4% | +1.0% | |
| Perfect Parry | 0.30 | 0.71 | -0.41 | |
| Throw techs | 0.10 | 0.49 | -0.39 | |
| Drive Parry | 1.20 | 1.55 | -0.35 | |
| Drive Impact | 0.50 | 0.17 | +0.33 | |
| Punish Counters landed | 0.30 | 0.10 | +0.20 | |
| Corner pressure | 11.00 | 10.80 | +0.20 | |
| Got Punish Countered | 0.20 | 0.08 | +0.12 | |
| Throw parries | 0.10 | 0.21 | -0.11 | |
| Throws | 2.40 | 2.29 | +0.11 | |
| Got stunned | 0.10 | 0.03 | +0.07 | |
| Drive Reversal | 0.20 | 0.24 | -0.04 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Got thrown | 2.20 | 2.20 | 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
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 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
- Punish Counters landed: profile 0.3 · reference 0.09
- Got Punish Countered: profile 0.2 · reference 0.07
Give each meter spend a purpose
Drive Rush (cancel): profile 36.4% · reference 16.4%
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 thisPractice 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
- Drive Rush (cancel): profile 36.4% · reference 16.4%
- SA2: profile 34.6% · reference 21.5%
Trace how you lose or gain space
Corner pressure: profile 11 · 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 thisRecreate 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 11 · reference 11.07
- Time cornered: profile 9.9 · 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
How to beat this player
Use matchup records as scouting leads
vs Char 253: 353 wins in 715 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf 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 Char 253: 353 wins in 715 games
- vs Ryu: 35 wins in 77 games
- vs Luke: 30 wins in 61 games
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 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 0.5 · reference 0.16
- Drive Impact gauge: profile 4.3% · reference 1.8%
Test the close-range pattern
Throw techs: profile 0.1 · reference 0.47
Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.
Try thisIf 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
- Throw techs: profile 0.1 · reference 0.47
- Got thrown: profile 2.2 · reference 2.19
- Throws: profile 2.4 · reference 2.28
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