s0

s0 — CS2 Stats

76561197965533905[U:1:5268177]Steam profile ↗✓ No bans

701Tracked matches50%Win rate2024Tracked since
2,363Hours in CS52Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating10,511Blue band · top ~52.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,511 -1,908 22 Sept – 4 Nov · 2 days played
10,51112,419peak 12,41922 Sept4 Nov
12,419Peak Premier in tracked matches
25Days played since 2026-08-30

Premier CS Rating

  • 1,908 below peak (12,419)
  • Next: Purple band at 15,000 — 4,489 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate88.4%42.7%43.8%above
Shot accuracy4.6%11.2%12.0%7.4% short
Kill/death ratio2.920.991.02above
Match win rate31.2%43.9%44.7%13.5% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGs0FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,511 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim69
Positioning38
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLWLTWLWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +3.0pp headshot accuracy · −26ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 29%
  • Avg reaction 769ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 28%
  • Avg reaction 695ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 708ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim6.9
Utility6.3
Positioning3.8
Opening Duels0.6
Clutch3.6

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 680ms 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

Aim6.9
Positioning3.8
Utility6.3
Mechanics7.4
Opening Duels1.9
Win Impact5.0

Composite 5.3/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time685ms+49ms
first ⅓ avg 636ms → last ⅓ avg 685ms
Headshot accuracy24.1%+1.8%
first ⅓ avg 22.3% → last ⅓ avg 24.1%

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

0.13Best match rating · 13–8 · inferno, 30 Sept →
53%Best headshot accuracy · 13–0 · dust2, 29 Sept →
375msFastest reaction time · 13–3 · inferno, 12 Oct →
13–0Biggest win · dust2, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 78% over 9dust2Weakest map · 44% over 36
MapGradePlayedRecordWin rateAvg rating
dust2C3616–2044%-0.02
infernoB2210–1245%-0.01
cacheB157–847%-0.02
nukeS97–278%-0.01
mirageB84–450%0.01
ancientB63–350%-0.05
anubis—43–175%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 36). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

218,678Lifetime kills
2.92K/D · Top 1% of Level 4 players
2,196Matches
31.2%Match win rate
88.4%Headshot % · Top 1% of Level 4 players
4.6%Shot accuracy
2,423MVPs
2,593Hours (in match)
1,484Bombs planted
376Bombs defused

Most-used weapons

Lifetime map wins

5,133dust2
3,128inferno
1,108nuke
330train
206cbble
80vertigo
16italy
7aztec

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

Faceit stats

Combat

134Matches
51%Win rate
0.63Avg K/D
52.9ADR
51%Headshot %

Clutches & streaks

38%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1833%0.6511.3
Dust21644%0.6410.8
Anubis1060%0.579.1
Ancient862%0.558.5
Mirage743%0.498.4
Nuke650%0.6710.3
Cache30%0.377.3

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.

23.4%Headshot accuracy
34.3%Accuracy (enemy spotted)
35.8%Spray accuracy
83.2%Counter-strafing
9.8°Preaim
680msReaction time
40.5%T opening success
34.8%CT opening success
0.60Enemies flashed / flash
6.1%Flash assists
9.66HE damage / grenade
9.00Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.8435% — below the 40% mark we flag

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.

44% win rate across 36 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
inferno8–13-0.0227%4 Nov →
dust213–30.0136%4 Nov →
dust211–13-0.0329%4 Nov →
anubis15–150.0230%4 Nov →
nuke13–20.0326%4 Nov →
inferno11–13-0.0726%3 Nov →
cache13–8-0.0319%3 Nov →
mirage13–10.0638%3 Nov →
nuke13–8-0.0020%3 Nov →
inferno13–40.0527%3 Nov →
dust212–12-0.0614%3 Nov →
inferno3–13-0.0636%3 Nov →
dust25–13-0.0518%3 Nov →
inferno6–13-0.0615%2 Nov →
cache2–130.0839%2 Nov →
dust23–130.0536%2 Nov →
inferno10–13-0.0021%2 Nov →
dust213–110.0119%2 Nov →
dust213–11-0.0329%1 Nov →
dust26–13-0.0817%28 Oct →
inferno6–13-0.0518%28 Oct →
dust213–100.0225%28 Oct →
nuke13–7-0.0216%28 Oct →
inferno13–10-0.0023%27 Oct →
cache11–13-0.0219%27 Oct →
dust213–110.0119%27 Oct →
dust213–10-0.0025%25 Oct →
inferno3–13-0.0217%25 Oct →
inferno11–13-0.0415%25 Oct →
nuke13–8-0.0618%25 Oct →
cache6–13-0.0217%24 Oct →
dust28–13-0.0244%24 Oct →
ancient13–50.0519%24 Oct →
mirage13–10.0526%24 Oct →
ancient10–13-0.0620%23 Oct →
inferno13–8-0.0337%23 Oct →
dust213–7-0.0727%23 Oct →
cache13–7-0.0616%23 Oct →
dust24–13-0.0827%23 Oct →
dust27–13-0.0422%22 Oct →
dust212–12-0.0331%21 Oct →
inferno13–90.0429%21 Oct →
dust213–50.0316%21 Oct →
dust28–13-0.0325%21 Oct →
cache10–13-0.0728%21 Oct →
dust28–13-0.0024%21 Oct →
cache13–6-0.0020%20 Oct →
ancient13–4-0.0710%20 Oct →
nuke13–2-0.1120%20 Oct →
dust213–110.0522%20 Oct →
dust210–13-0.0521%20 Oct →
cache13–8-0.0720%18 Oct →
ancient8–13-0.0922%18 Oct →
nuke13–7-0.0324%18 Oct →
mirage13–20.0120%18 Oct →
dust213–2-0.0224%18 Oct →
dust213–3-0.0926%18 Oct →
dust213–80.0223%17 Oct →
dust22–13-0.0040%17 Oct →
inferno12–120.0520%17 Oct →
inferno8–13-0.093%16 Oct →
nuke13–50.0845%16 Oct →
cache9–13-0.0814%16 Oct →
dust210–13-0.0826%16 Oct →
mirage8–130.0224%16 Oct →
dust26–130.0727%14 Oct →
dust28–130.0115%14 Oct →
inferno6–13-0.0328%13 Oct →
anubis13–60.0836%13 Oct →
dust210–13-0.0932%12 Oct →
mirage6–130.0227%12 Oct →
inferno13–30.0429%12 Oct →
mirage6–13-0.0917%11 Oct →
anubis10–3-0.058%10 Oct →
dust28–00.0533%10 Oct →
inferno13–11-0.0424%6 Oct →
dust24–13-0.1018%6 Oct →
cache7–13-0.047%6 Oct →
mirage8–13-0.0419%6 Oct →
dust26–13-0.019%6 Oct →
cache11–130.0226%1 Oct →
anubis13–11-0.0118%1 Oct →
inferno9–13-0.0612%1 Oct →
dust213–8-0.0426%1 Oct →
inferno13–80.1322%30 Sept →
inferno13–10-0.0518%30 Sept →
cache13–10-0.0418%30 Sept →
mirage13–50.0320%30 Sept →
dust28–13-0.0827%30 Sept →
inferno13–4-0.0027%29 Sept →
dust213–00.0353%29 Sept →
inferno7–20.0824%29 Sept →
cache12–120.0024%29 Sept →
ancient10–13-0.0714%29 Sept →
cache6–0-0.0017%29 Sept →
nuke9–130.0334%29 Sept →
dust213–70.0917%29 Sept →
nuke5–13-0.0018%29 Sept →
cache13–10-0.0017%28 Sept →
ancient13–8-0.0319%28 Sept →

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 →

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