jnsz

jnsz — CS2 Stats

76561198117247115[U:1:156981387]Steam profile ↗✓ No bans

663Tracked matches57%Win rate2020Tracked since
2,092Hours in CS
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating17,887Purple band · top ~16.9% 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 9 Aug 2026 (40 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. 37 days played since 17 Sep 2023. 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: 17,887 +7,145 8 Feb9 Aug · 13 days played
7,52217,887peak 17,8878 Feb9 Aug
18,002Peak Premier in tracked matches
37Days played since 2023-09-17

Premier CS Rating

  • At peak — 17,887
  • Next: Pink band at 20,000 2,113 to go
  • Reached: Purple band · 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 4 among CSDB-tracked players (n=12,413), 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 rate41.0%42.7%43.8%2.8% short
Shot accuracy18.4%11.2%12.0%above
Kill/death ratio0.841.001.020.18 short
Match win rate34.9%43.9%44.7%9.9% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGjnszFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,887 · Purple 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

Aim45
Positioning37
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateLLWLWLLWWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −4.3pp headshot accuracy · −53ms reaction

Win rate down 30pp 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

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 606ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 612ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 638ms

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 (+1.2 against its own average).

Aim4.5
Utility3.5
Positioning3.7
Opening Duels0.8
Clutch2.2

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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 679ms 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

Aim4.5
Positioning3.7
Utility3.5
Mechanics7.2
Opening Duels0.1
Win Impact7.2

Composite 4.4/10 (Developing), 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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time682ms+12ms
first ⅓ avg 670ms → last ⅓ avg 682ms
Headshot accuracy18.1%−0.5%
first ⅓ avg 18.5% → last ⅓ avg 18.1%

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 · 13–2 · dust2, 2 Aug
35%Best headshot accuracy · 11–13 · ancient, 19 Sept
438msFastest reaction time · 1–13 · inferno, 4 Aug
13–0Biggest win · ancient, 27 Feb

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
86In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 61% over 18ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A1811761%-0.01
nukeC1771041%-0.03
ancientC1661038%-0.04
mirageB157847%-0.02
infernoB147750%-0.04
anubisB84450%-0.02
overpassB63350%-0.05
vertigo32167%0.06
cache110100%-0.06
italy1010%0.01
train1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,619Lifetime kills
0.84K/D
5,260Matches
34.9%Match win rate
41.0%Headshot %
18.4%Shot accuracy · Top 10% of Level 4 players
10,328MVPs
2,092Hours (in match)
2,647Bombs planted
860Bombs defused

Most-used weapons

AK-4748,318
AWP16,494
UMP-451,783
FAMAS1,539
P2501,504

Lifetime map wins

5,746dust2
4,419inferno
2,698nuke
2,322train
2,309cbble
1,340vertigo
80office
73lake

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

Faceit stats

Combat

312Matches
52%Win rate
1.09Avg K/D
77.6ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1267%1.1415.3
Anubis933%1.1818.3
Dust2743%0.9913.6
Nuke633%0.9117.2
Ancient333%0.7613.0
Cache367%0.8513.0
Vertigo20%0.8412.5
Inferno10%0.9121.0

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.

18.4%Headshot accuracy
28.4%Accuracy (enemy spotted)
30.3%Spray accuracy
82.2%Counter-strafing
11.0°Preaim
679msReaction time
24.9%T opening success
30.9%CT opening success
0.58Enemies flashed / flash
3.2%Flash assists
8.61HE damage / grenade
3.90Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8961 — below the 4 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 24.9246% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–130.0517%14 Aug
anubis11–130.0519%13 Aug
cache13–10-0.0617%10 Aug
nuke8–13-0.0518%9 Aug
ancient13–110.0012%9 Aug
vertigo4–130.0018%9 Aug
mirage7–13-0.0722%9 Aug
dust213–3-0.0020%9 Aug
nuke13–30.0513%9 Aug
nuke3–13-0.047%7 Aug
ancient13–9-0.0324%4 Aug
inferno13–10.1222%4 Aug
inferno1–13-0.0925%4 Aug
ancient4–13-0.0915%3 Aug
mirage13–6-0.0320%2 Aug
mirage9–13-0.0415%2 Aug
mirage13–110.0022%2 Aug
dust213–70.0213%2 Aug
dust213–20.1321%2 Aug
dust213–10.0129%2 Aug
dust213–50.0217%2 Aug
nuke13–50.0417%8 Jun
dust29–13-0.0412%8 Jun
inferno8–13-0.069%7 Jun
overpass11–13-0.0632%8 Mar
dust210–13-0.0823%8 Mar
dust213–4-0.0211%6 Mar
nuke13–7-0.0311%6 Mar
overpass13–11-0.0122%6 Mar
dust213–110.0427%3 Mar
ancient7–13-0.0818%3 Mar
mirage13–40.0324%2 Mar
anubis13–6-0.114%2 Mar
mirage1–70.000%1 Mar
inferno8–13-0.0322%1 Mar
ancient3–13-0.105%1 Mar
nuke13–80.0232%27 Feb
ancient13–00.0423%27 Feb
anubis13–11-0.0416%24 Feb
ancient7–10.0415%24 Feb
mirage15–15-0.0115%23 Feb
anubis15–15-0.0318%23 Feb
nuke11–13-0.0715%22 Feb
dust29–13-0.0818%22 Feb
nuke3–13-0.0521%10 Feb
dust21–13-0.0918%10 Feb
inferno13–11-0.0222%10 Feb
dust213–11-0.088%8 Feb
anubis13–4-0.0211%30 Jan
dust213–16-0.0025%30 Jan
inferno13–6-0.0211%30 Jan
nuke13–5-0.0819%30 Jan
ancient5–11-0.0928%29 Jan
overpass2–13-0.0516%29 Jan
mirage9–130.0415%29 Jan
dust23–13-0.0214%29 Jan
inferno13–9-0.0713%27 Jan
ancient4–13-0.1112%27 Jan
nuke9–13-0.0715%27 Jan
overpass9–10.004%27 Jan
nuke10–13-0.0617%25 Jan
dust213–8-0.0224%25 Jan
ancient13–9-0.059%16 Jun
nuke13–4-0.056%16 Jun
mirage10–13-0.0223%16 Jun
italy10–130.0110%13 Jun
train9–13-0.048%13 Jun
dust216–13-0.0420%13 Jun
inferno0–13-0.040%13 Jun
anubis5–13-0.1013%13 Jun
nuke13–5-0.0411%13 Jun
mirage13–6-0.0528%13 Jun
mirage7–13-0.1319%13 Jun
ancient6–13-0.0619%8 Jun
dust210–13-0.0522%8 Jun
nuke15–15-0.0417%30 May
ancient13–6-0.055%30 May
inferno4–13-0.1031%30 May
nuke11–130.0213%23 May
anubis13–30.0226%27 Sept
ancient11–13-0.0412%27 Sept
vertigo5–00.0933%27 Sept
inferno13–6-0.0416%27 Sept
dust213–80.0819%30 Apr
ancient10–13-0.0122%30 Apr
inferno6–130.0113%5 Jan
mirage4–13-0.0411%28 Sept
mirage13–7-0.0214%28 Sept
nuke8–13-0.0612%23 Sept
inferno3–13-0.0915%23 Sept
mirage9–4-0.0614%23 Sept
overpass9–13-0.1126%23 Sept
overpass16–13-0.0521%19 Sept
inferno16–14-0.0733%19 Sept
ancient11–13-0.0235%19 Sept
mirage13–10.0223%19 Sept
vertigo13–50.0821%19 Sept
nuke12–16-0.0419%17 Sept
ancient15–15-0.0218%17 Sept
inferno13–10-0.1111%17 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 →