sossboy

sossboy — CS2 Stats

IS76561198068781578[U:1:108515850]Steam profile ↗✓ No bans

631Tracked matches52%Win rate2020Tracked since
2,145Hours in CS57Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating13,940Blue band · top ~34% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

14,543Peak Premier in tracked matches
29Days played since 2026-04-30

Premier CS Rating

  • At peak — 13,940
  • Next: Purple band at 15,000 — 1,060 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,110), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate28.4%44.8%45.7%17.3% short
Shot accuracy15.5%12.4%12.7%above
Kill/death ratio1.181.031.05above
Match win rate44.0%45.2%45.7%1.7% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsossboyFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER13,940 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning70
Utility44

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLLLWWWLLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +5.2pp headshot accuracy · +45ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 575ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 599ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 576ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim4.6
Utility4.4
Positioning7.0
Opening Duels6.9
Clutch5.6

Limited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 62% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 569ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.6
Positioning7.0
Utility4.4
Mechanics3.4
Opening Duels7.3
Win Impact5.6

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.04
first ⅓ avg 0.00 → last ⅓ avg 0.04
Reaction time567ms−27ms
first ⅓ avg 594ms → last ⅓ avg 567ms
Headshot accuracy13.4%+0.2%
first ⅓ avg 13.2% → last ⅓ avg 13.4%

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.

Personal bests

0.23Best match rating · 13–4 · mirage, 2 Oct →
26%Best headshot accuracy · 13–8 · nuke, 6 Oct →
422msFastest reaction time · 13–9 · nuke, 4 Oct →
13–0Biggest win · nuke, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 50% over 6dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB3918–2146%0.04
cacheB2210–1245%0.05
anubisD93–633%0.03
mirageD93–633%0.01
dust2D61–517%-0.00
trainB63–350%0.03
ancientC52–340%0.00
inferno—42–250%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,807Lifetime kills
1.18K/D · Top 25% of Level 6 players
3,127Matches
44.0%Match win rate
28.4%Headshot %
15.5%Shot accuracy · Top 50% of Level 6 players
6,857MVPs
1,114Hours (in match)
3,651Bombs planted
739Bombs defused

Most-used weapons

AK-4719,636
AWP4,803
MP91,533
UMP-451,375
P2501,291
MAC-101,201

Lifetime map wins

4,963inferno
2,027dust2
1,515train
1,230nuke
554vertigo
472cbble
81lake
72ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

120Matches
52%Win rate
1.36Avg K/D
93.7ADR
38%Headshot %

Clutches & streaks

48%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4050%1.5418.5
Inferno2752%1.3921.0
Anubis2759%1.3318.5
Ancient944%1.1416.6
Dust2862%1.2423.9
Nuke838%0.9414.6
Train10%0.417.0

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.

13.3%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.1%Spray accuracy
65.3%Counter-strafing
11.4°Preaim
569msReaction time
59.7%T opening success
58.3%CT opening success
0.43Enemies flashed / flash
4.2%Flash assists
12.54HE damage / grenade
4.88Flashes / 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 13.3091% — 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 0.4336 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0113%14 Oct →
anubis3–13-0.0124%14 Oct →
dust24–130.0121%14 Oct →
cache13–100.0511%14 Oct →
nuke9–50.1023%12 Oct →
nuke13–110.048%12 Oct →
nuke8–13-0.048%10 Oct →
anubis6–13-0.0116%10 Oct →
train3–13-0.0717%10 Oct →
train11–130.0423%10 Oct →
cache13–70.0814%10 Oct →
train13–100.018%10 Oct →
anubis13–80.1114%10 Oct →
train13–10.112%9 Oct →
train13–110.0510%9 Oct →
nuke12–120.0212%9 Oct →
nuke4–130.129%9 Oct →
nuke13–8-0.0213%9 Oct →
dust23–13-0.0422%8 Oct →
nuke13–5-0.038%8 Oct →
nuke13–30.0311%8 Oct →
nuke13–10.0811%8 Oct →
nuke12–120.0512%7 Oct →
nuke13–80.0426%6 Oct →
nuke10–130.0713%6 Oct →
nuke7–130.0315%4 Oct →
nuke12–120.069%4 Oct →
train9–110.0712%4 Oct →
cache13–30.1810%4 Oct →
nuke2–130.048%4 Oct →
nuke10–130.0211%4 Oct →
nuke13–50.0614%4 Oct →
nuke13–40.1515%4 Oct →
nuke14–16-0.035%4 Oct →
nuke13–9-0.007%4 Oct →
mirage7–130.0015%4 Oct →
nuke13–100.0711%3 Oct →
nuke12–12-0.0112%3 Oct →
nuke13–00.238%3 Oct →
nuke11–13-0.0110%3 Oct →
anubis13–90.1515%3 Oct →
cache13–00.1311%3 Oct →
nuke13–80.1020%3 Oct →
nuke4–130.008%3 Oct →
nuke13–100.0917%2 Oct →
mirage13–40.2315%2 Oct →
cache10–130.1212%2 Oct →
nuke13–100.1211%2 Oct →
inferno13–90.209%2 Oct →
dust25–13-0.0216%2 Oct →
cache12–120.1312%1 Oct →
nuke13–110.0811%1 Oct →
cache13–60.0712%1 Oct →
nuke11–130.029%1 Oct →
nuke11–130.0417%30 Sept →
cache12–120.0614%30 Sept →
nuke6–130.0613%30 Sept →
anubis3–13-0.0217%30 Sept →
ancient2–13-0.0414%30 Sept →
cache13–00.0117%30 Sept →
nuke10–130.019%30 Sept →
mirage5–130.048%30 Sept →
cache7–130.0119%29 Sept →
nuke13–110.1514%29 Sept →
cache10–130.0418%29 Sept →
cache6–130.0223%29 Sept →
nuke9–130.0516%28 Sept →
cache9–13-0.007%28 Sept →
nuke1–13-0.0312%28 Sept →
dust26–130.039%27 Sept →
cache2–13-0.0210%27 Sept →
mirage6–13-0.019%27 Sept →
nuke13–7-0.067%27 Sept →
cache13–16-0.0016%27 Sept →
ancient13–100.079%27 Sept →
dust29–130.0111%25 Sept →
cache9–130.0910%24 Sept →
inferno8–130.0718%22 Sept →
anubis13–30.0220%22 Sept →
nuke7–130.0022%22 Sept →
ancient11–13-0.0320%21 Sept →
cache13–10-0.0410%21 Sept →
cache4–13-0.0519%14 Sept →
inferno13–90.0414%14 Sept →
mirage5–13-0.068%14 Sept →
ancient13–100.0612%12 Sept →
cache13–110.0111%12 Sept →
anubis8–130.017%12 Sept →
anubis6–130.0417%8 Sept →
anubis9–13-0.0219%7 Sept →
cache13–90.0521%7 Sept →
mirage13–10-0.0315%7 Sept →
mirage13–11-0.0610%11 Jul →
mirage5–13-0.0115%9 Jul →
nuke9–130.019%9 Jul →
ancient10–13-0.058%4 Jul →
dust213–90.0114%17 May →
mirage12–12-0.019%16 May →
cache3–130.0721%30 Apr →
cache13–100.0115%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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.