cobain

cobain — CS2 Stats

76561197995522660[U:1:35256932]Steam profile ↗✓ No bans

661Tracked matches70%Win rate2020Tracked since
1,799Hours in CS
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating8,159Light Blue band · top ~63.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 13 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,159 +4,869 16 Jul22 Sept · 30 days played
2,7198,159peak 8,15916 Jul22 Sept
8,159Peak Premier in tracked matches
36Days played since 2026-07-13

Premier CS Rating

  • At peak — 8,159
  • +4,866 over 30 days · improving
  • Next: Blue band at 10,000 1,841 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate35.5%39.9%41.9%6.4% short
Shot accuracy11.9%6.9%9.6%above
Kill/death ratio0.710.920.980.27 short
Match win rate41.5%42.3%43.8%2.3% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcobainPREMIER8,159 · Light 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

Aim60
Positioning50
Utility13

0–100 skill scores via Leetify.

Recent form

HOT53416Last 10053%Win rateWWWWWWWWWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +3.7pp headshot accuracy · +46ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 50 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 544ms

Last 10

  • 91 · 90% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 595ms

Last 20

  • 173 · 85% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 572ms

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 PlayerPositioning stands above the rest of this profile (+2.2 against its own average).

Aim6.0
Utility1.3
Positioning5.0
Opening Duels2.0

Strong CT-side openerLimited 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

s1mple

Plays most like s1mple 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim6.0
Positioning5.0
Utility1.3
Mechanics3.6
Opening Duels2.6
Win Impact10.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time604ms−72ms
first ⅓ avg 676ms → last ⅓ avg 604ms
Headshot accuracy19.4%+0.1%
first ⅓ avg 19.3% → last ⅓ avg 19.4%

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

0.32Best match rating · 13–10 · inferno, 20 Sept
34%Best headshot accuracy · 13–6 · nuke, 21 Sept
375msFastest reaction time · 13–10 · inferno, 22 Sept
13–0Biggest win · anubis, 20 Sept

Across the last 100 tracked matches.

Highlights

9Longest win streak
W9Current streak
94In matches decided by ≤2 rounds
15Overtime games

Map breakdown

officeBest map · 71% over 7mirageWeakest map · 46% over 24
MapGradePlayedRecordWin rateAvg rating
mirageB24111346%0.01
dust2B24121250%-0.01
anubisA159660%0.00
infernoS107370%0.05
officeS75271%-0.05
nukeB63350%-0.00
ancientS64267%-0.02
cache42250%-0.02
train3030%-0.04
vertigo1010%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,803Lifetime kills
0.71K/D
4,669Matches
41.5%Match win rate
35.5%Headshot %
11.9%Shot accuracy · Top 50% of Light Blue band
6,471MVPs
1,799Hours (in match)
3,542Bombs planted
539Bombs defused

Most-used weapons

AK-4717,883
AWP5,927
MP92,648
P901,386
MP71,051
AUG979

Lifetime map wins

13,396office
4,897inferno
3,564dust2
2,201nuke
1,270train
617vertigo
275italy
232cbble

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

Faceit stats

Combat

9Matches
33%Win rate
0.36Avg K/D
ADR
36%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

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.

19.4%Headshot accuracy
37.0%Accuracy (enemy spotted)
40.2%Spray accuracy
66.1%Counter-strafing
12.0°Preaim
595msReaction time
33.7%T opening success
47.5%CT opening success
0.25Enemies flashed / flash
0.6%Flash assists
4.62HE damage / grenade
1.83Flashes / 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. 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 0.2549 — below the 0.5 mark we flag

    Grenade Lineups
  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 33.6735% — below the 40% mark we flag

Spend your practice time on Mirage

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

46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–100.0819%22 Sept
anubis13–80.0717%21 Sept
mirage13–20.0517%21 Sept
inferno13–4-0.0721%21 Sept
nuke13–6-0.0534%21 Sept
anubis13–2-0.0024%21 Sept
dust213–90.0219%21 Sept
nuke13–5-0.0231%21 Sept
mirage13–5-0.0225%21 Sept
dust213–16-0.0023%21 Sept
mirage6–130.0214%20 Sept
cache16–140.0112%20 Sept
ancient13–50.0321%20 Sept
inferno13–100.3216%20 Sept
anubis13–00.1915%20 Sept
office5–13-0.0928%19 Sept
inferno13–50.0222%19 Sept
anubis13–3-0.0528%19 Sept
anubis13–6-0.0319%17 Sept
mirage13–4-0.0319%17 Sept
ancient13–5-0.0218%17 Sept
dust29–2-0.0117%17 Sept
mirage1–13-0.0413%16 Sept
mirage13–16-0.0415%16 Sept
office13–11-0.0616%16 Sept
office13–5-0.0417%16 Sept
mirage10–13-0.0615%16 Sept
anubis8–13-0.0515%16 Sept
anubis9–13-0.0318%16 Sept
anubis7–13-0.0120%16 Sept
anubis12–12-0.0915%16 Sept
anubis12–12-0.0116%16 Sept
mirage8–13-0.0220%15 Sept
dust26–13-0.0728%15 Sept
nuke14–16-0.0421%14 Sept
dust27–13-0.0426%14 Sept
ancient14–16-0.0515%14 Sept
anubis16–140.0211%14 Sept
ancient13–2-0.028%14 Sept
anubis13–80.0117%14 Sept
inferno16–13-0.0119%14 Sept
dust216–13-0.0423%14 Sept
anubis7–13-0.0221%13 Sept
dust213–100.0222%12 Sept
ancient13–6-0.0725%12 Sept
dust29–13-0.0718%12 Sept
mirage9–13-0.1110%12 Sept
inferno9–13-0.0625%12 Sept
mirage13–3-0.0925%12 Sept
dust213–9-0.1121%12 Sept
dust213–7-0.0421%12 Sept
office13–11-0.0519%12 Sept
dust213–110.0225%11 Sept
mirage13–100.0817%11 Sept
cache6–13-0.0418%11 Sept
office5–13-0.0322%9 Sept
inferno13–90.0722%9 Sept
anubis13–30.0415%9 Sept
mirage2–13-0.0129%9 Sept
dust211–13-0.0029%9 Sept
dust213–50.0218%9 Sept
nuke13–10.0213%9 Sept
dust213–10.0126%8 Sept
mirage13–110.0718%8 Sept
dust213–110.0527%7 Sept
mirage9–13-0.0114%6 Sept
dust24–13-0.0414%5 Sept
mirage16–120.0425%5 Sept
dust23–13-0.0730%2 Sept
mirage16–120.0224%1 Sept
office13–11-0.0423%30 Aug
cache13–7-0.0424%27 Aug
cache11–13-0.0329%27 Aug
inferno9–130.1430%24 Aug
mirage13–100.1521%21 Aug
dust26–130.0119%20 Aug
office13–10-0.0216%20 Aug
mirage4–13-0.0126%20 Aug
dust210–130.0915%19 Aug
train12–12-0.0430%16 Aug
train12–12-0.0220%16 Aug
train5–13-0.0721%16 Aug
dust28–13-0.0315%7 Aug
mirage10–130.0417%7 Aug
mirage16–130.1122%7 Aug
dust29–13-0.017%7 Aug
dust215–15-0.0713%5 Aug
inferno7–130.0023%3 Aug
anubis13–40.0216%3 Aug
dust213–50.0525%31 Jul
mirage10–130.0023%31 Jul
vertigo6–13-0.0615%29 Jul
nuke3–13-0.0020%27 Jul
mirage15–150.0113%27 Jul
inferno13–4-0.0111%27 Jul
dust213–110.0823%23 Jul
mirage5–10-0.017%21 Jul
mirage16–130.0111%16 Jul
nuke12–160.0712%14 Jul
ancient6–130.0312%13 Jul

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 →