Young Street Soulja

Young Street Soulja — CS2 Stats

US76561198278802406[U:1:318536678]Steam profile ↗✓ No bans

538Tracked matches27%Win rate2022Tracked since
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim50
Positioning33
Utility30

0–100 skill scores via Leetify.

Recent form

COLD38557Last 10038%Win rateLLLLLWWLLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim5.0
Aggression2.4
Utility3.0
Positioning3.3
Opening Duels0.6

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

NiKo

Plays most like NiKo 68% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 42% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 686ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.0
Positioning3.3
Utility3.0
Mechanics6.2
Opening Duels1.6
Win Impact0.0

Composite 3.7/10 (Learning), 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 rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time680ms−32ms
first ⅓ avg 712ms → last ⅓ avg 680ms
Headshot accuracy13.6%−1.3%
first ⅓ avg 14.8% → last ⅓ avg 13.6%

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

0.11Best rating — dust2 13–3
131Biggest win — dust2
3Longest win streak
L5Current streak
45In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 86% over 7officeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D1861233%-0.01
cacheC1881044%-0.01
nukeD103730%0.00
mirageA106460%-0.01
trainD92722%-0.03
vertigoD92722%-0.02
anubisD82625%-0.03
infernoS76186%-0.01
officeD51420%-0.05
overpass42250%-0.02
ancient2020%-0.07

Across the last 100 tracked matches.

Skill profile

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

13.3%Headshot accuracy
35.4%Accuracy (enemy spotted)
38.6%Spray accuracy
77.7%Counter-strafing
11.2°Preaim
686msReaction time
22.2%T opening success
42.5%CT opening success
0.35Enemies flashed / flash
4.0%Flash assists
12.17HE damage / grenade
2.72Flashes / 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 13.2971% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3499 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 22.2313% — below the 40% mark we flag

Spend your practice time on Train

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke7–130.089%24 Aug
mirage12–16-0.0216%24 Aug
inferno5–13-0.117%20 Aug
train6–13-0.0626%15 Aug
train11–13-0.036%15 Aug
mirage13–90.069%5 Aug
inferno13–8-0.0112%5 Aug
nuke6–13-0.0620%5 Aug
dust25–13-0.0414%3 Aug
dust23–13-0.065%3 Aug
vertigo13–60.047%30 Jul
vertigo5–13-0.0115%29 Jul
vertigo3–130.0115%29 Jul
anubis7–13-0.016%22 Jul
anubis13–90.0117%22 Jul
dust210–13-0.0019%21 Jul
dust29–13-0.0018%21 Jul
nuke13–60.057%18 Jul
cache8–130.0415%18 Jul
ancient4–13-0.127%16 Jul
inferno13–80.0111%15 Jul
office8–13-0.0121%8 Jul
office6–13-0.1113%8 Jul
cache10–130.0118%8 Jul
nuke7–130.0311%6 Jul
cache13–11-0.0616%1 Jul
overpass2–13-0.0011%25 Jun
mirage6–13-0.0831%25 Jun
cache11–13-0.115%24 Jun
mirage13–110.089%24 Jun
mirage13–10-0.0421%23 Jun
train7–13-0.0722%17 Jun
train13–40.048%17 Jun
dust210–130.0223%15 Jun
cache13–10-0.0111%11 Jun
cache13–20.0412%11 Jun
cache4–13-0.127%3 Jun
vertigo12–12-0.0615%3 Jun
vertigo9–13-0.0416%3 Jun
vertigo3–13-0.0118%3 Jun
cache13–8-0.1019%27 May
anubis6–130.0513%27 May
cache13–60.0522%27 May
cache13–60.026%26 May
cache7–13-0.0119%20 May
mirage5–13-0.055%19 May
inferno13–7-0.0310%16 May
nuke9–130.0620%15 May
office12–12-0.0710%13 May
office3–13-0.0111%13 May
office13–7-0.027%13 May
cache5–130.0618%12 May
cache13–4-0.0321%9 May
cache12–120.0416%6 May
cache8–13-0.090%6 May
cache13–50.0311%6 May
cache9–130.0220%30 Apr
cache1–13-0.0253%30 Apr
inferno13–30.0915%23 Apr
train13–3-0.056%23 Apr
train5–13-0.0418%23 Apr
train7–13-0.115%23 Apr
dust211–13-0.0230%22 Apr
dust213–110.0120%22 Apr
dust213–8-0.0513%22 Apr
dust213–30.1113%18 Apr
dust212–12-0.0216%18 Apr
dust210–13-0.0425%15 Apr
dust213–6-0.0312%15 Apr
ancient7–13-0.0214%15 Apr
vertigo12–12-0.055%8 Apr
vertigo10–13-0.0310%8 Apr
anubis4–13-0.098%3 Apr
anubis11–13-0.0120%3 Apr
anubis3–13-0.1023%3 Apr
nuke13–20.0513%1 Apr
anubis13–4-0.0218%31 Mar
dust213–10.1020%25 Mar
mirage15–15-0.0516%25 Mar
overpass13–16-0.039%25 Mar
dust213–90.0219%18 Mar
overpass13–7-0.0620%15 Mar
overpass13–1-0.0119%15 Mar
nuke7–13-0.0917%12 Mar
inferno13–4-0.0315%12 Mar
vertigo13–6-0.0114%9 Mar
train11–13-0.0316%4 Mar
train5–130.059%4 Mar
nuke6–13-0.0427%3 Mar
dust212–16-0.019%3 Mar
mirage13–11-0.0016%3 Mar
mirage13–90.0312%26 Feb
anubis2–13-0.0323%26 Feb
nuke13–6-0.0113%26 Feb
mirage13–10-0.0216%25 Feb
dust210–13-0.0213%25 Feb
dust212–12-0.033%19 Feb
nuke10–13-0.0315%19 Feb
inferno13–8-0.036%19 Feb
dust23–11-0.0218%19 Feb

Match data via Leetify.

Milestones

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