Latest game
VictoryRanked
JP
ZAJPUpdated 5 days ago
Steam
JapanClub · SABAUMAIC100%
SteamJapanClub · SABAUMAIC100%Simesaba0215
Eternal Traveler
MR 1,615#63,052Last 107–3+33Last 2013–7+48
Winrate
55%
50W · 41L · 91 stored
Ranked matches
91
selected mode
Wins
50
Ranked
Losses
41
Ranked
Peak MR
1,655
JP
Ranked MR · JP
91 local · 0 imported · 91 on chart · 91 battles stored
Replay not requested
JPZAPlaystyle 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 | Simesaba0215 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 42.7% | 56.6% | -14.0% | |
| Drive Arts | 43.2% | 32.1% | +11.1% | |
| SA3 | 28.0% | 19.2% | +8.8% | |
| Corner pressure | 4.10 | 10.77 | -6.67 | |
| Drive Rush (cancel) | 17.3% | 23.1% | -5.9% | |
| Drive Rush (parry) | 3.0% | 6.5% | -3.5% | |
| Drive Guard | 9.4% | 12.8% | -3.4% | |
| CA | 8.0% | 5.0% | +3.0% | |
| SA1 | 21.3% | 19.2% | +2.1% | |
| Time cornered | 13.80 | 12.04 | +1.76 | |
| Drive Impact gauge | 2.7% | 2.1% | +0.6% | |
| Got thrown | 1.70 | 2.13 | -0.43 | |
| Drive Parry | 2.50 | 2.07 | +0.43 | |
| Perfect Parry | 0.40 | 0.79 | -0.39 | |
| Throws | 1.60 | 1.97 | -0.37 | |
| Throw techs | 0.10 | 0.39 | -0.29 | |
| Drive Reversal | 0.40 | 0.13 | +0.27 | |
| Got Punish Countered | 0.30 | 0.08 | +0.22 | |
| Drive Impact | 0.20 | 0.34 | -0.14 | |
| Throw parries | 0.30 | 0.41 | -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 |
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 0.3 · 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 0.3 · reference 0.08
- Punish Counters landed: profile 0.2 · reference 0.13
Review close-range choices
Throws: profile 1.6 · reference 1.97
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
- Throws: profile 1.6 · reference 1.97
- Throw techs: profile 0.1 · reference 0.39
- Got thrown: profile 1.7 · reference 2.13
Review defensive decisions
Perfect Parry: profile 0.4 · reference 0.79
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
- Perfect Parry: profile 0.4 · reference 0.79
- Drive Parry: profile 2.5 · reference 2.07
- Drive Reversal: profile 0.4 · reference 0.13
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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
Test the close-range pattern
Got thrown: profile 1.7 · 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 1.7 · reference 2.13
- Throw techs: profile 0.1 · reference 0.39
- Throws: profile 1.6 · reference 1.97
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.3 · 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 0.3 · reference 0.08
- Punish Counters landed: profile 0.2 · reference 0.13
Build pressure without overextending
Time cornered: profile 13.8 · reference 12.04
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 thisTest 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
- Time cornered: profile 13.8 · reference 12.04
- Corner pressure: profile 4.1 · reference 10.77
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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free