I Love Yoshino Forever

I Love Yoshino Forever — CS2 Stats

76561199074879150[U:1:1114613422]Steam profile ↗

598Tracked matches59%Win rate2021Tracked since
CSDB Rating5.3 Developing
Premier CS Rating19,859Purple band · top ~9.1% of ranked players (population est.)
CSDB Leaderboard#18724 of 46088 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGI Love Yoshino ForeverFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,859 · Purple bandcsdb.gg/stats

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Performance scores

Aim52
Positioning56
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY44488Last 10044%Win rateWLLWLWWWTW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim5.2
Aggression9.1
Utility6.4
Positioning5.6
Opening Duels3.3

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

jL

Plays most like jL 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.2
Positioning5.6
Utility6.4
Mechanics3.8
Opening Duels3.3
Win Impact7.9

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time522ms−29ms
first ⅓ avg 551ms → last ⅓ avg 522ms
Headshot accuracy12.7%−3.3%
first ⅓ avg 15.9% → last ⅓ avg 12.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.41Best rating — inferno 9–2
130Biggest win — mirage
3Longest win streak
57In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 50% over 66infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B66333350%0.04
mirageD103730%-0.01
cacheC83538%0.01
infernoD61517%0.05
ancient41325%0.05
nuke42250%-0.03
anubis110100%0.10
debris1010%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
60%Win rate
1.15Avg K/D
ADR
38%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.9%Headshot accuracy
31.6%Accuracy (enemy spotted)
39.0%Spray accuracy
67.3%Counter-strafing
11.4°Preaim
520msReaction time
34.5%T opening success
51.6%CT opening success
0.52Enemies flashed / flash
8.3%Flash assists
8.85HE damage / grenade
11.49Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.9482% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 34.5486% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–80.1020%30 Aug
dust211–130.0324%30 Aug
debris4–90.099%30 Aug
dust213–11-0.0112%27 Aug
ancient8–13-0.017%27 Aug
dust213–20.069%27 Aug
mirage13–70.016%27 Aug
inferno9–20.4112%24 Aug
dust212–120.030%22 Aug
dust213–30.0213%22 Aug
dust29–13-0.0219%22 Aug
dust213–40.0416%18 Aug
dust213–60.0519%15 Aug
dust213–30.0929%8 Aug
dust24–130.0828%8 Aug
dust29–130.0820%8 Aug
inferno8–13-0.088%8 Aug
dust213–40.0917%6 Aug
mirage13–9-0.015%6 Aug
dust21–13-0.0322%6 Aug
nuke13–10-0.028%29 Jul
cache6–13-0.103%29 Jul
dust213–5-0.0511%29 Jul
dust213–110.1214%26 Jul
cache13–7-0.027%26 Jul
nuke6–130.019%26 Jul
mirage13–00.010%26 Jul
mirage0–13-0.020%26 Jul
dust213–50.0816%25 Jul
cache5–13-0.0211%25 Jul
inferno5–13-0.0414%25 Jul
dust213–80.0521%24 Jul
ancient13–90.159%19 Jul
dust213–100.0912%19 Jul
dust211–130.0916%15 Jul
dust213–20.0022%15 Jul
dust213–10.0116%14 Jul
dust27–130.0615%12 Jul
ancient10–13-0.0710%12 Jul
dust213–20.2518%10 Jul
dust213–30.0125%9 Jul
mirage12–120.0323%9 Jul
mirage1–13-0.0521%9 Jul
mirage11–130.0614%9 Jul
dust213–70.059%8 Jul
dust29–13-0.0123%8 Jul
dust213–70.0921%7 Jul
dust213–11-0.0012%4 Jul
dust213–80.0513%4 Jul
dust212–120.0816%30 Jun
dust29–130.1310%26 Jun
dust211–130.0316%26 Jun
dust213–60.1213%26 Jun
dust25–130.0123%26 Jun
dust213–70.0313%24 Jun
mirage8–13-0.0413%24 Jun
dust213–30.0917%18 Jun
ancient15–150.145%18 Jun
dust24–130.0421%16 Jun
dust27–13-0.0021%16 Jun
dust212–120.0317%14 Jun
dust213–100.0318%14 Jun
cache9–130.0813%8 Jun
dust212–12-0.0327%6 Jun
mirage6–13-0.009%6 Jun
inferno10–130.0218%6 Jun
dust24–130.0223%6 Jun
dust213–80.0222%3 Jun
inferno9–13-0.0112%31 May
cache9–130.0813%19 May
dust213–70.1120%18 May
dust213–60.0726%16 May
nuke3–13-0.0831%16 May
mirage12–16-0.0520%16 May
inferno15–15-0.0215%16 May
dust29–13-0.0412%16 May
dust213–00.1011%13 May
dust29–130.1231%13 May
dust27–13-0.028%13 May
dust25–13-0.048%13 May
nuke13–4-0.0412%12 May
dust213–40.0425%11 May
dust27–130.057%11 May
dust28–130.0514%9 May
dust22–13-0.0218%9 May
dust213–110.138%7 May
dust25–13-0.0620%7 May
dust211–13-0.0716%7 May
dust25–13-0.0312%7 May
dust211–13-0.0415%7 May
dust213–40.1818%6 May
dust25–130.0215%6 May
dust26–130.0017%6 May
dust213–110.0116%6 May
dust213–8-0.0120%6 May
dust29–13-0.0510%6 May
cache13–9-0.0316%5 May
cache13–50.0813%4 May
dust211–130.008%4 May
cache12–12-0.0119%30 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →