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VictoryCasual
JA
RAJAUpdated 1 week ago
Steam
JapanC100%
SteamJapanC100%Flor
You Gotta Start Somewhere
MR 1,601#83,453Last 105–5-2Last 2011–9+10
Winrate
50%
18W · 18L · 36 stored
Ranked matches
36
selected mode
Wins
18
Ranked
Losses
18
Ranked
Peak MR
1,630
Jamie
Ranked MR · Jamie
36 local · 0 imported · 36 on chart · 100 battles stored
Replay not requested
JARAPlaystyle reference
Habits vs top 30 Jamie
Benchmark refreshed Sep 13, 2026, 4:16 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JALargest absolute differences first23 habits
| Habit | Flor | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 44.3% | 29.0% | +15.2% | |
| SA2 | 12.9% | 21.4% | -8.5% | |
| CA | 5.7% | 9.8% | -4.1% | |
| Corner pressure | 17.70 | 14.89 | +2.81 | |
| SA3 | 37.1% | 39.7% | -2.6% | |
| Drive Rush (cancel) | 34.7% | 33.8% | +0.9% | |
| Drive Rush (parry) | 4.9% | 5.7% | -0.8% | |
| Time cornered | 7.80 | 8.56 | -0.76 | |
| Drive Guard | 10.4% | 11.0% | -0.5% | |
| Throw techs | 0.90 | 0.40 | +0.50 | |
| Drive Arts | 22.8% | 23.2% | -0.4% | |
| Drive Parry | 2.00 | 1.78 | +0.22 | |
| Throws | 2.50 | 2.40 | +0.10 | |
| Stuns landed | 0.00 | 0.08 | -0.08 | |
| Perfect Parry | 0.60 | 0.67 | -0.07 | |
| Got stunned | 0.00 | 0.06 | -0.06 | |
| Drive Reversal | 0.20 | 0.26 | -0.06 | |
| Got thrown | 2.20 | 2.15 | +0.05 | |
| Got Punish Countered | 0.10 | 0.06 | +0.04 | |
| Punish Counters landed | 0.10 | 0.07 | +0.03 | |
| Drive Impact gauge | 1.4% | 1.4% | +0.0% | |
| Drive Impact | 0.20 | 0.21 | -0.01 | |
| Throw parries | 0.20 | 0.20 | 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.
Jamie · Latest 100
What to improve
Review defensive decisions
Throw techs: profile 0.9 · reference 0.42
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 0.9 · reference 0.42
- Got thrown: profile 2.2 · reference 1.97
- Drive Parry: profile 2 · reference 1.7
Find the cause of punish events
Punish Counters landed: profile 0.1 · reference 0.07
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 0.1 · reference 0.07
- Got Punish Countered: profile 0.1 · reference 0.08
Compare decisions across wins and losses
Recent stored ranked sample: 18 wins in 36 games
Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.
Try thisWrite down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.
Supporting stats
- Recent stored ranked sample: 18 wins in 36 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 5, 2026 · AI: z-ai/glm-5.2:free
How to beat this player
Test the close-range pattern
Throw techs: profile 0.9 · reference 0.42
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
- Throw techs: profile 0.9 · reference 0.42
- Got thrown: profile 2.2 · reference 1.97
Use matchup records as scouting leads
vs Ken: 11 wins in 20 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 Ken: 11 wins in 20 games
- vs Ingrid: 13 wins in 20 games
Separate a tendency from a one-off event
Recent stored ranked sample: 18 wins in 36 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: 18 wins in 36 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 5, 2026 · AI: z-ai/glm-5.2:free