Latest game
DefeatRanked
AL
C.ALUpdated 9 hours ago
Steam
JapanM100%
SteamJapanM100%あざらし
Age of Power
MR 1,580#112,136Last 106–4+18Last 2012–8+38
Winrate
53%
29W · 26L · 55 stored
Ranked matches
55
selected mode
Wins
29
Ranked
Losses
26
Ranked
Peak MR
1,593
Alex
Ranked MR · Alex
55 local · 50 imported · 99 on chart · 62 battles stored
Replay not requested
ALC.Playstyle reference
Habits vs top 30 Alex
Benchmark refreshed Sep 14, 2026, 4:24 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
ALLargest absolute differences first23 habits
| Habit | あざらし | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 19.0% | 33.2% | -14.1% | |
| SA3 | 12.1% | 25.2% | -13.1% | |
| SA1 | 48.3% | 38.9% | +9.4% | |
| Corner pressure | 5.30 | 10.07 | -4.77 | |
| Drive Rush (parry) | 12.7% | 8.2% | +4.5% | |
| CA | 10.3% | 8.3% | +2.0% | |
| SA2 | 29.3% | 27.6% | +1.7% | |
| Drive Parry | 0.10 | 1.62 | -1.52 | |
| Drive Impact gauge | 0.5% | 2.0% | -1.5% | |
| Time cornered | 8.70 | 9.50 | -0.80 | |
| Perfect Parry | 0.00 | 0.64 | -0.64 | |
| Drive Reversal | 1.00 | 0.43 | +0.57 | |
| Drive Arts | 13.6% | 13.2% | +0.3% | |
| Got thrown | 1.90 | 2.18 | -0.28 | |
| Drive Guard | 13.8% | 14.0% | -0.2% | |
| Got Punish Countered | 0.30 | 0.11 | +0.19 | |
| Drive Impact | 0.10 | 0.23 | -0.13 | |
| Throw techs | 0.40 | 0.51 | -0.11 | |
| Stuns landed | 0.00 | 0.10 | -0.10 | |
| Throw parries | 0.20 | 0.27 | -0.07 | |
| Throws | 2.20 | 2.24 | -0.04 | |
| Punish Counters landed | 0.10 | 0.14 | -0.04 | |
| Got stunned | 0.00 | 0.04 | -0.04 |
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.
Alex · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.4 · reference 0.12
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 0.4 · reference 0.12
- Punish Counters landed: profile 0 · reference 0.12
Review defensive decisions
Drive Parry: profile 0.7 · reference 1.63
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 Parry: profile 0.7 · reference 1.63
- Perfect Parry: profile 0.1 · reference 0.7
- Drive Reversal: profile 1.1 · reference 0.47
Give each meter spend a purpose
SA1: profile 11.1% · reference 43%
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 11.1% · reference 43%
- SA2: profile 44.4% · reference 28.4%
- SA3: profile 26.7% · reference 22.1%
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Ryu: 24 wins in 53 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 Ryu: 24 wins in 53 games
- vs Cammy: 16 wins in 31 games
- vs Luke: 31 wins in 62 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