Latest game
DefeatRanked
JP
MAJPUpdated 12 hours ago
Steam
JapanClub · stlockM100%
SteamJapanClub · stlockM100%exe_EVOLVE
Teleporting Behind You
MR 1,569#120,944Last 105–50Last 209–11-13
Winrate
47%
47W · 52L · 99 stored
Ranked matches
99
selected mode
Wins
47
Ranked
Losses
52
Ranked
Peak MR
1,608
JP
Ranked MR · JP
99 local · 0 imported · 99 on chart · 100 battles stored
Replay not requested
JPMAPlaystyle 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 | exe_EVOLVE | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 39.7% | 56.6% | -16.9% | |
| SA3 | 28.8% | 19.2% | +9.6% | |
| CA | 12.3% | 5.0% | +7.4% | |
| Corner pressure | 7.90 | 10.77 | -2.87 | |
| Drive Arts | 34.6% | 32.1% | +2.4% | |
| Drive Rush (parry) | 5.2% | 6.5% | -1.4% | |
| Drive Rush (cancel) | 24.3% | 23.1% | +1.2% | |
| Throws | 2.90 | 1.97 | +0.93 | |
| Drive Guard | 12.0% | 12.8% | -0.8% | |
| Got thrown | 2.60 | 2.13 | +0.47 | |
| Time cornered | 12.40 | 12.04 | +0.36 | |
| Drive Parry | 1.80 | 2.07 | -0.27 | |
| Throw parries | 0.60 | 0.41 | +0.19 | |
| Drive Impact | 0.20 | 0.34 | -0.14 | |
| Got Punish Countered | 0.20 | 0.08 | +0.12 | |
| Throw techs | 0.30 | 0.39 | -0.09 | |
| Perfect Parry | 0.70 | 0.79 | -0.09 | |
| Drive Reversal | 0.20 | 0.13 | +0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| SA1 | 19.2% | 19.2% | -0.0% | |
| Drive Impact gauge | 2.2% | 2.1% | +0.0% | |
| Punish Counters landed | 0.10 | 0.13 | -0.03 | |
| Stuns landed | 0.10 | 0.09 | +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 0.2 · 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 0.2 · 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
- Perfect Parry: profile 0.5 · reference 0.79
Give each meter spend a purpose
SA3: profile 50% · reference 19.2%
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
- SA3: profile 50% · reference 19.2%
- SA2: profile 25% · reference 56.6%
- CA: profile 10.4% · reference 5%
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 11, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.08
- Punish Counters landed: profile 0.1 · reference 0.13
Test the Drive Impact tendency
Drive Impact: profile 0.2 · reference 0.34
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 0.2 · reference 0.34
Test the close-range pattern
Throws: profile 2.4 · reference 1.97
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
- Throws: profile 2.4 · reference 1.97
- Got thrown: profile 2.8 · reference 2.13
- Throw techs: profile 0.5 · 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 11, 2026 · AI: nex-agi/nex-n2.5-pro:free