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Steam
ChinaClub · BurnoutMENC100%
SteamChinaClub · BurnoutMENC100%宇宙超级无敌贝利亚战神
Let's Do This
MR 1,704#30,599Winrate
—
0W · 0L · 0 stored
Ranked matches
0
selected mode
Wins
0
Ranked
Losses
0
Ranked
Peak MR
1,704
Marisa
Ranked MR · Marisa
0 local · 0 imported · 0 on chart · 100 battles stored
Not enough ranked MR points in this range yet.
Replay not requested
ALRYPlaystyle reference
Habits vs top 30 Marisa
Benchmark refreshed Sep 16, 2026, 1:28 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | 宇宙超级无敌贝利亚战神 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 60.0% | 38.1% | +21.9% | |
| SA3 | 22.5% | 34.5% | -12.0% | |
| SA2 | 7.5% | 17.8% | -10.3% | |
| Time cornered | 5.50 | 8.63 | -3.13 | |
| Drive Arts | 21.8% | 19.6% | +2.1% | |
| Throws | 3.80 | 2.01 | +1.79 | |
| Drive Rush (parry) | 8.4% | 9.6% | -1.2% | |
| Drive Guard | 14.3% | 15.1% | -0.8% | |
| Drive Rush (cancel) | 27.2% | 27.7% | -0.5% | |
| Corner pressure | 10.20 | 9.73 | +0.47 | |
| Throw parries | 0.70 | 0.25 | +0.45 | |
| CA | 10.0% | 9.6% | +0.4% | |
| Perfect Parry | 0.30 | 0.55 | -0.25 | |
| Drive Reversal | 0.10 | 0.32 | -0.22 | |
| Throw techs | 0.70 | 0.55 | +0.15 | |
| Stuns landed | 0.00 | 0.11 | -0.11 | |
| Drive Impact gauge | 2.1% | 2.0% | +0.1% | |
| Got thrown | 2.40 | 2.31 | +0.09 | |
| Punish Counters landed | 0.20 | 0.12 | +0.08 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Got Punish Countered | 0.10 | 0.12 | -0.02 | |
| Drive Impact | 0.20 | 0.21 | -0.01 | |
| Drive Parry | 1.50 | 1.50 | 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.
Marisa · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.2 · reference 0.11
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 0.2 · reference 0.11
- Got Punish Countered: profile 0.1 · reference 0.11
Review close-range choices
Throws: profile 3.8 · reference 2.03
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 3.8 · reference 2.03
- Throw techs: profile 0.7 · reference 0.54
Give each meter spend a purpose
SA1: profile 60% · reference 41.8%
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
- SA1: profile 60% · reference 41.8%
- SA2: profile 7.5% · reference 18.1%
- SA3: profile 22.5% · reference 32.8%
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 16, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Test the close-range pattern
Throws: profile 3.8 · reference 2.03
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 3.8 · reference 2.03
- Throw techs: profile 0.7 · reference 0.54
Test the Drive Impact tendency
Drive Impact: profile 0.2 · reference 0.2
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 0.2
- Drive Impact gauge: profile 2.1% · reference 1.8%
Probe defense before committing
Drive Parry: profile 1.5 · reference 1.56
Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.
Try thisTry your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.
Supporting stats
- Drive Parry: profile 1.5 · reference 1.56
- Perfect Parry: profile 0.3 · reference 0.59
- Drive Reversal: profile 0.1 · reference 0.33
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 16, 2026 · AI: dots-studio/dots-3-note-preview:free