Latest game
DefeatCustom Room
M.
ZAM.Updated 1 day ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%Tsubasu
I am Shadaloo!
MR 1,489#348,615Last 104–6-13Last 2010–100
Winrate
52%
67W · 61L · 128 stored
Ranked matches
128
selected mode
Wins
67
Ranked
Losses
61
Ranked
Peak MR
1,571
M. Bison
Ranked MR · M. Bison
128 local · 40 imported · 153 on chart · 272 battles stored
Replay not requested
M.ZAPlaystyle reference
Habits vs top 30 M. Bison
Benchmark refreshed Sep 13, 2026, 1:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
M.Largest absolute differences first23 habits
| Habit | Tsubasu | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 43.8% | 33.7% | +10.2% | |
| Drive Rush (cancel) | 38.6% | 30.0% | +8.6% | |
| Time cornered | 5.40 | 9.85 | -4.45 | |
| SA2 | 16.9% | 21.0% | -4.1% | |
| Drive Rush (parry) | 10.7% | 7.2% | +3.5% | |
| CA | 6.7% | 10.2% | -3.5% | |
| Drive Arts | 15.6% | 18.7% | -3.1% | |
| SA3 | 32.6% | 35.2% | -2.6% | |
| Drive Guard | 15.7% | 13.4% | +2.3% | |
| Corner pressure | 12.90 | 11.91 | +0.99 | |
| Drive Impact gauge | 2.0% | 1.5% | +0.5% | |
| Perfect Parry | 0.30 | 0.74 | -0.44 | |
| Throws | 2.00 | 2.42 | -0.42 | |
| Throw techs | 0.20 | 0.57 | -0.37 | |
| Throw parries | 0.50 | 0.26 | +0.24 | |
| Got thrown | 2.40 | 2.59 | -0.19 | |
| Drive Parry | 1.60 | 1.75 | -0.15 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Punish Counters landed | 0.20 | 0.11 | +0.09 | |
| Drive Reversal | 0.40 | 0.33 | +0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Drive Impact | 0.20 | 0.19 | +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.
M. Bison · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.2 · reference 0.1
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 0.1
- Got Punish Countered: profile 0.2 · reference 0.07
Review defensive decisions
Throw techs: profile 0.2 · reference 0.52
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
- Throw techs: profile 0.2 · reference 0.52
- Got thrown: profile 2.4 · reference 2.34
Trace how you lose or gain space
Corner pressure: profile 12.9 · reference 12.11
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 12.9 · reference 12.11
- Time cornered: profile 5.4 · reference 9.13
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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
Probe defense before committing
Perfect Parry: profile 0.3 · reference 0.67
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
- Perfect Parry: profile 0.3 · reference 0.67
- Drive Reversal: profile 0.4 · reference 0.27
Look for a repeatable punish opportunity
Punish Counters landed: profile 0.2 · reference 0.1
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
- Punish Counters landed: profile 0.2 · reference 0.1
- Got Punish Countered: profile 0.2 · reference 0.07
Use matchup records as scouting leads
vs Yasmine: 26 wins in 47 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 Yasmine: 26 wins in 47 games
- vs Juri: 14 wins in 27 games
- vs JP: 16 wins in 32 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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free