Kosmonavt

Kosmonavt — CS2 Stats

US76561197969652143[U:1:9386415]Steam profile ↗✓ No bans

1,577Tracked matches53%Win rate2021Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating13,686Blue band · top ~35.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (6 days ago). 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. 40 days played since 24 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: 13,686 +258 5 Aug14 Sept · 18 days played
13,32315,118peak 15,1185 Aug14 Sept
15,118Peak Premier in tracked matches
40Days played since 2026-07-24

Premier CS Rating

  • 1,432 below peak (15,118)
  • -1,226 over 30 days · declining
  • Next: Purple band at 15,000 1,314 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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

Share this profile

CSDB.GGKosmonavtFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,686 · 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

Aim58
Positioning61
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateLLWLWLWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.8pp headshot accuracy · +85ms 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 608ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 621ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 579ms

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: SupportUtility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.8
Utility6.3
Positioning6.1
Opening Duels4.2
Clutch2.6

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

jL

Plays most like jL 75% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.8
Positioning6.1
Utility6.3
Mechanics4.3
Opening Duels4.1
Win Impact6.1

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 time590ms−35ms
first ⅓ avg 626ms → last ⅓ avg 590ms
Headshot accuracy15.7%+4.0%
first ⅓ avg 11.7% → last ⅓ avg 15.7%

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.

Personal bests

0.12Best match rating · 13–6 · train, 17 Aug
33%Best headshot accuracy · 1–9 · inferno, 1 Sept
359msFastest reaction time · 4–13 · dust2, 9 Sept
13–1Biggest win · dust2, 5 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
108In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 63% over 16infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A26151158%-0.01
mirageA1610663%0.00
nukeB147750%-0.00
infernoD1431121%-0.03
ancientB126650%-0.02
cacheC52340%0.02
train42250%-0.01
vertigo42250%0.00
office31233%-0.01
anubis2020%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

280Matches
49%Win rate
0.79Avg K/D
72.7ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke6648%0.8013.6
Dust25855%0.8714.4
Inferno5654%0.8112.9
Mirage4045%0.7512.5
Ancient2945%0.7613.1
Cache1833%0.7012.1
Vertigo633%0.7712.0
Overpass475%0.6811.5

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.

15.8%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.5%Spray accuracy
69.5%Counter-strafing
11.2°Preaim
589msReaction time
43.9%T opening success
48.9%CT opening success
0.63Enemies flashed / flash
9.8%Flash assists
8.48HE damage / grenade
8.48Flashes / match

Recommended for you

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0122%16 Sept
anubis7–130.0224%16 Sept
mirage16–130.0512%14 Sept
cache4–130.0115%14 Sept
dust213–40.0417%14 Sept
ancient4–13-0.0412%12 Sept
cache13–80.0213%11 Sept
ancient13–10-0.0211%10 Sept
ancient11–13-0.0114%10 Sept
dust213–3-0.0128%10 Sept
inferno13–10-0.0213%10 Sept
inferno11–130.0326%9 Sept
dust24–13-0.087%9 Sept
mirage13–80.0412%8 Sept
nuke13–100.1014%8 Sept
office13–60.0511%8 Sept
nuke8–13-0.0311%7 Sept
inferno7–13-0.0615%7 Sept
office6–13-0.0412%7 Sept
office7–13-0.0316%7 Sept
dust213–10.0613%5 Sept
dust216–13-0.0614%4 Sept
dust29–13-0.0225%4 Sept
nuke13–11-0.028%4 Sept
mirage6–130.0015%4 Sept
dust213–11-0.0412%4 Sept
dust213–110.0120%1 Sept
inferno1–9-0.0533%1 Sept
mirage13–30.0417%1 Sept
dust213–2-0.0326%1 Sept
inferno11–13-0.0614%28 Aug
ancient13–90.0311%27 Aug
train4–13-0.107%27 Aug
dust211–13-0.0317%27 Aug
cache12–120.0618%26 Aug
cache13–40.0510%26 Aug
dust213–6-0.0516%25 Aug
nuke13–11-0.0015%25 Aug
mirage7–13-0.0615%25 Aug
ancient3–13-0.0413%24 Aug
mirage10–13-0.0318%20 Aug
dust29–13-0.0315%19 Aug
nuke12–16-0.0411%18 Aug
mirage13–2-0.0213%18 Aug
nuke13–9-0.0710%17 Aug
train13–60.129%17 Aug
dust213–11-0.0620%13 Aug
inferno11–13-0.047%13 Aug
train11–40.018%13 Aug
train5–13-0.0825%13 Aug
dust213–10-0.0215%12 Aug
anubis10–13-0.0311%12 Aug
mirage11–13-0.0615%11 Aug
inferno7–13-0.0518%11 Aug
dust213–9-0.0329%11 Aug
nuke15–15-0.0211%10 Aug
vertigo13–9-0.0830%9 Aug
nuke10–13-0.0411%9 Aug
nuke13–90.0324%8 Aug
inferno3–13-0.0621%8 Aug
dust25–130.0318%8 Aug
mirage13–100.0314%7 Aug
mirage15–15-0.0011%7 Aug
inferno13–60.0215%6 Aug
dust213–11-0.0112%6 Aug
dust26–13-0.0011%6 Aug
mirage3–13-0.0314%5 Aug
mirage16–14-0.0214%5 Aug
dust213–10-0.0218%5 Aug
dust27–130.0328%5 Aug
mirage13–50.0011%5 Aug
inferno9–13-0.067%4 Aug
dust210–13-0.057%4 Aug
nuke7–13-0.028%4 Aug
mirage13–100.0716%4 Aug
mirage13–70.0313%3 Aug
dust29–13-0.079%3 Aug
inferno6–13-0.0910%1 Aug
cache7–13-0.0513%1 Aug
vertigo6–13-0.0315%1 Aug
ancient9–13-0.0710%1 Aug
nuke13–100.028%31 Jul
ancient11–130.057%31 Jul
ancient13–60.064%31 Jul
dust213–90.0222%31 Jul
vertigo13–50.0211%31 Jul
dust210–130.0913%30 Jul
nuke10–130.0810%30 Jul
ancient13–11-0.073%29 Jul
ancient16–14-0.0410%29 Jul
vertigo5–120.1013%29 Jul
dust214–16-0.0215%28 Jul
inferno2–13-0.046%27 Jul
ancient19–17-0.045%26 Jul
mirage13–9-0.0219%25 Jul
ancient7–13-0.055%25 Jul
dust213–5-0.025%25 Jul
nuke13–9-0.0210%24 Jul
inferno13–80.0713%24 Jul
inferno5–13-0.0425%24 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →