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JP
CHJPUpdated 1 day ago
CrossPlatform
JapanClub · reDDriveTechersC100%
CrossPlatformJapanClub · reDDriveTechersC100%Tetsuo.
Breath of Vengeance
MR 1,521#187,896Last 103–7-28Last 209–11-15
Winrate
47%
66W · 75L · 141 stored
Ranked matches
141
selected mode
Wins
66
Ranked
Losses
75
Ranked
Peak MR
1,594
JP
Ranked MR · JP
141 local · 45 imported · 186 on chart · 292 battles stored
Replay not requested
JPCHPlaystyle reference
Habits vs top 30 JP
Benchmark refreshed Sep 3, 2026, 4:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JPLargest absolute differences first23 habits
| Habit | Tetsuo. | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 12.5% | 19.2% | -6.7% | |
| Drive Arts | 26.4% | 32.1% | -5.7% | |
| SA2 | 61.5% | 56.6% | +4.9% | |
| Drive Rush (cancel) | 19.8% | 23.1% | -3.4% | |
| Corner pressure | 7.50 | 10.77 | -3.27 | |
| Drive Rush (parry) | 8.1% | 6.5% | +1.6% | |
| SA1 | 20.2% | 19.2% | +1.0% | |
| Time cornered | 13.00 | 12.04 | +0.96 | |
| CA | 5.8% | 5.0% | +0.8% | |
| Drive Guard | 13.4% | 12.8% | +0.6% | |
| Perfect Parry | 0.30 | 0.79 | -0.49 | |
| Drive Parry | 1.60 | 2.07 | -0.47 | |
| Drive Reversal | 0.30 | 0.13 | +0.17 | |
| Throws | 1.80 | 1.97 | -0.17 | |
| Got thrown | 2.30 | 2.13 | +0.17 | |
| Throw techs | 0.50 | 0.39 | +0.11 | |
| Stuns landed | 0.00 | 0.09 | -0.09 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Drive Impact gauge | 2.2% | 2.1% | +0.1% | |
| Drive Impact | 0.30 | 0.34 | -0.04 | |
| Got Punish Countered | 0.10 | 0.08 | +0.02 | |
| Throw parries | 0.40 | 0.41 | -0.01 |
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.
JP · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.1 · reference 0.08
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
- Got Punish Countered: profile 0.1 · reference 0.08
- Punish Counters landed: profile 0.1 · reference 0.13
Review defensive decisions
Drive Reversal: profile 0.3 · reference 0.13
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 thisRecord 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 0.3 · reference 0.13
- Drive Parry: profile 1.9 · reference 2.07
- Perfect Parry: profile 0.6 · reference 0.79
Review close-range choices
Got thrown: profile 2.7 · reference 2.13
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay 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
- Got thrown: profile 2.7 · reference 2.13
- Throws: profile 2 · reference 1.97
- Throw techs: profile 0.6 · reference 0.39
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 10, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
Test the close-range pattern
Got thrown: profile 2.7 · reference 2.13
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
- Got thrown: profile 2.7 · reference 2.13
- Throw techs: profile 0.6 · reference 0.39
- Throws: profile 2 · reference 1.97
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.1 · reference 0.08
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 thisTest 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 0.1 · reference 0.08
- Punish Counters landed: profile 0.1 · reference 0.13
Separate a tendency from a one-off event
Recent stored ranked sample: 19 wins in 48 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse 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: 19 wins in 48 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 10, 2026 · AI: nex-agi/nex-n2.5-pro:free