Latest game
DefeatRanked
ED?
Opponent · RandomもっちーEDUpdated 6 hours ago
Steam
JapanM100%
SteamJapanM100%スイレンちゃんtwitch
Let's Do This
MR 1,539#156,868Last 101–9-66Last 208–12-37
Winrate
40%
25W · 38L · 63 stored
Ranked matches
63
selected mode
Wins
25
Ranked
Losses
38
Ranked
Peak MR
1,657
Ed
Ranked MR · Ed
63 local · 0 imported · 63 on chart · 63 battles stored
Replay not requested
EDPlaystyle reference
Habits vs top 30 Ed
Benchmark refreshed Sep 12, 2026, 10:17 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
EDLargest absolute differences first23 habits
| Habit | スイレンちゃんtwitch | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 9.2% | 23.2% | -14.0% | |
| CA | 19.4% | 9.8% | +9.5% | |
| Drive Arts | 26.4% | 18.1% | +8.3% | |
| Time cornered | 16.30 | 8.93 | +7.37 | |
| Corner pressure | 5.70 | 11.75 | -6.05 | |
| SA3 | 38.8% | 33.7% | +5.1% | |
| Drive Guard | 9.3% | 12.9% | -3.6% | |
| Drive Rush (parry) | 3.3% | 6.8% | -3.5% | |
| Drive Rush (cancel) | 38.5% | 35.3% | +3.2% | |
| SA1 | 32.7% | 33.3% | -0.7% | |
| Drive Impact gauge | 1.1% | 1.7% | -0.6% | |
| Drive Parry | 2.20 | 1.92 | +0.28 | |
| Throws | 2.30 | 2.53 | -0.23 | |
| Drive Impact | 0.10 | 0.22 | -0.12 | |
| Got Punish Countered | 0.20 | 0.10 | +0.10 | |
| Got thrown | 2.30 | 2.20 | +0.10 | |
| Drive Reversal | 0.30 | 0.22 | +0.08 | |
| Stuns landed | 0.00 | 0.06 | -0.06 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Punish Counters landed | 0.10 | 0.14 | -0.04 | |
| Throw techs | 0.50 | 0.53 | -0.03 | |
| Perfect Parry | 0.80 | 0.79 | +0.01 | |
| Throw parries | 0.20 | 0.21 | -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.
Ed · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: 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
- Got Punish Countered: profile 0.2 · reference 0.1
Trace how you lose or gain space
Corner pressure: profile 5.7 · reference 11.75
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 5.7 · reference 11.75
- Time cornered: profile 16.3 · reference 8.93
Give each meter spend a purpose
Drive Rush (parry): profile 3.3% · reference 6.8%
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
- Drive Rush (parry): profile 3.3% · reference 6.8%
- Drive Arts: profile 26.4% · reference 18.1%
- SA2: profile 9.2% · reference 23.2%
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-mini:free
How to beat this player
Use matchup records as scouting leads
vs Dee Jay: 9 wins in 16 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 Dee Jay: 9 wins in 16 games
- vs Char 253: 140 wins in 278 games
- vs Akuma: 13 wins in 22 games
Separate a tendency from a one-off event
Recent stored ranked sample: 25 wins in 63 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: 25 wins in 63 games
Look for a repeatable punish opportunity
Got Punish Countered: 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
- Got Punish Countered: profile 0.2 · reference 0.1
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-mini:free