Latest game
VictoryCasual
ED
C.EDUpdated 7 days ago
Steam
JapanC100%
SteamJapanC100%misodare
Owl at Dawn
LP 20,080Last 105–5Last 2011–7
Winrate
61%
11W · 7L · 18 stored
Ranked matches
18
selected mode
Wins
11
Ranked
Losses
7
Ranked
Peak LP
20,091
Ed
Ranked LP · Ed
League points over time for this character
Replay not requested
EDC.Playstyle 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 | misodare | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 58.3% | 33.7% | +24.7% | |
| Drive Rush (cancel) | 10.9% | 35.3% | -24.4% | |
| SA2 | 2.1% | 23.2% | -21.1% | |
| Drive Impact gauge | 6.0% | 1.7% | +4.4% | |
| SA1 | 29.2% | 33.3% | -4.2% | |
| Corner pressure | 7.60 | 11.75 | -4.15 | |
| Drive Guard | 16.8% | 12.9% | +3.9% | |
| Drive Arts | 21.8% | 18.1% | +3.7% | |
| Drive Rush (parry) | 9.8% | 6.8% | +3.0% | |
| Time cornered | 10.80 | 8.93 | +1.87 | |
| Throws | 3.80 | 2.53 | +1.27 | |
| Got thrown | 2.80 | 2.20 | +0.60 | |
| CA | 10.4% | 9.8% | +0.6% | |
| Perfect Parry | 0.30 | 0.79 | -0.49 | |
| Drive Parry | 2.40 | 1.92 | +0.48 | |
| Drive Impact | 0.60 | 0.22 | +0.38 | |
| Punish Counters landed | 0.40 | 0.14 | +0.26 | |
| Got Punish Countered | 0.30 | 0.10 | +0.20 | |
| Throw techs | 0.70 | 0.53 | +0.17 | |
| Throw parries | 0.10 | 0.21 | -0.11 | |
| Stuns landed | 0.10 | 0.06 | +0.04 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Drive Reversal | 0.20 | 0.22 | -0.02 |
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
Punish Counters landed: profile 0.4 · 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 0.4 · reference 0.11
Make Drive Impact a deliberate choice
Drive Impact: profile 0.6 · reference 0.2
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.
Supporting stats
- Drive Impact: profile 0.6 · reference 0.2
- Drive Impact gauge: profile 6.2% · reference 1.5%
Give each meter spend a purpose
SA3: profile 54.9% · reference 30%
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 54.9% · reference 30%
- SA2: profile 2% · reference 27.6%
- CA: profile 13.7% · reference 9.3%
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Yasmine: 28 wins in 79 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: 28 wins in 79 games
- vs Ryu: 16 wins in 37 games
- vs Akuma: 20 wins in 37 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free