jNs

jNs — CS2 Stats

DE76561198051335331[U:1:91069603]Steam profile ↗✓ No bans

2,442Tracked matches60%Win rate2020Tracked since
4,939Hours in CS30Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating27,944Top 5% of 212,133 CSDB-tracked playersRed band · top ~1.6% of ranked players (population est.)
CSDB Leaderboard#2933 of 259149 tracked
FaceitLevel 8 · 1,859 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (2 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.

Rating over time

Premier CS Rating: 27,944 +4,725 29 Aug – 30 Oct · 21 days played
23,03227,944peak 27,94429 Aug30 Oct
Faceit ELO: 1,859 +0 29 Aug – 18 Sept · 4 observations
1,8591,859peak 1,85929 Aug18 Sept
28,130Peak Premier in tracked matches
1,859Highest Faceit ELO seen on CSDB
33Days played since 2026-08-29

Faceit ELO

  • At peak — 1,859
  • Next: Level 10 at 2,001 — 142 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-29
  • Level 8 first seen 2026-08-29

Premier CS Rating

  • At peak — 27,944
  • +4,109 over 30 days · improving
  • Next: Gold band at 30,000 — 2,056 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate47.5%46.8%48.2%meets
Shot accuracy13.7%13.0%13.2%above
Kill/death ratio1.471.061.07above
Match win rate45.8%46.3%46.9%1.1% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjNsFACEITLevel 8 · 1,859 ELOSTANDINGTop 31.2% of rankedPREMIER27,944 · Red bandPEAK ELO1,859csdb.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

Aim74
Positioning62
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLWLLWLWWWL

Last 10 vs previous 10: −30pp win rate · +0.04 avg rating · −2.1pp headshot accuracy · −32ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 503ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 522ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 538ms

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 (+1.6 against its own average).

Aim7.4
Utility5.4
Positioning6.2
Opening Duels3.8
Clutch3.0

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim7.4
Positioning6.2
Utility5.4
Mechanics5.3
Opening Duels3.5
Win Impact8.3

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time525ms−46ms
first ⅓ avg 571ms → last ⅓ avg 525ms
Headshot accuracy15.6%−1.8%
first ⅓ avg 17.4% → last ⅓ avg 15.6%

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

0.24Best match rating · 9–13 · dust2, 9 Oct →
33%Best headshot accuracy · 11–13 · dust2, 23 Sept →
422msFastest reaction time · 13–11 · anubis, 19 Oct →
13–1Biggest win · ancient, 20 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 61% over 18infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B3516–1946%0.02
ancientA1811–761%0.00
cacheC146–843%0.01
mirageA116–555%-0.00
infernoC104–640%0.01
anubisC73–443%-0.02
vertigo—10–10%0.04
poseidon—10–10%-0.06
eldorado—10–10%-0.06
debris—10–10%-0.00
train—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

166,579Lifetime kills
1.47K/D · Top 10% of Level 8 players
6,217Matches
45.8%Match win rate
47.5%Headshot % · Top 50% of Level 8 players
13.7%Shot accuracy · Top 50% of Level 8 players
14,448MVPs
2,517Hours (in match)
7,675Bombs planted
1,759Bombs defused

Most-used weapons

AK-4767,314
AWP21,532
P2503,504
FAMAS2,473
Tec-92,245

Lifetime map wins

20,500dust2
7,580inferno
3,881nuke
1,910train
871cbble
587vertigo
292dust
228assault

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

Faceit stats

Combat

1,262Matches
51%Win rate
1.00Avg K/D
71.4ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient28854%0.9314.4
Dust221945%1.0014.8
Anubis18352%0.9714.8
Mirage11447%0.9114.1
Inferno10150%0.9714.3
Train6860%0.9814.5
Cache4751%0.9714.7
Overpass2955%1.0515.5

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.

15.3%Headshot accuracy
36.9%Accuracy (enemy spotted)
36.0%Spray accuracy
73.9%Counter-strafing
8.3°Preaim
532msReaction time
40.3%T opening success
47.6%CT opening success
0.51Enemies flashed / flash
6.2%Flash assists
8.62HE damage / grenade
10.81Flashes / 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–130.0111%31 Oct →
mirage13–40.0616%31 Oct →
dust26–13-0.0419%31 Oct →
ancient8–13-0.0310%30 Oct →
cache13–80.0211%30 Oct →
cache8–13-0.0014%30 Oct →
cache13–60.0926%30 Oct →
ancient13–10-0.0010%30 Oct →
cache13–100.1515%30 Oct →
ancient10–130.0413%30 Oct →
mirage2–13-0.0115%30 Oct →
dust216–13-0.0422%29 Oct →
cache13–100.007%29 Oct →
ancient13–10-0.0318%29 Oct →
ancient13–40.0417%29 Oct →
cache3–13-0.0519%29 Oct →
dust213–7-0.0031%29 Oct →
mirage13–6-0.0115%29 Oct →
anubis13–3-0.0213%29 Oct →
dust213–110.009%29 Oct →
inferno13–10-0.068%29 Oct →
inferno6–13-0.0423%29 Oct →
mirage13–10-0.0514%29 Oct →
inferno4–130.048%29 Oct →
ancient13–11-0.0619%28 Oct →
cache11–13-0.0211%22 Oct →
dust212–50.0917%21 Oct →
dust213–60.0018%21 Oct →
dust24–13-0.0727%21 Oct →
cache7–130.0713%21 Oct →
ancient13–10.0318%20 Oct →
cache13–8-0.0117%20 Oct →
anubis13–110.0114%19 Oct →
cache6–130.009%19 Oct →
dust213–60.0912%14 Oct →
inferno4–130.0314%14 Oct →
mirage13–100.0013%14 Oct →
dust29–60.0012%14 Oct →
vertigo8–130.0413%11 Oct →
dust20–130.0220%11 Oct →
dust26–130.0214%9 Oct →
dust213–110.0422%9 Oct →
ancient3–13-0.0126%9 Oct →
dust29–130.2414%9 Oct →
ancient7–13-0.0410%9 Oct →
dust27–13-0.0224%9 Oct →
mirage13–70.0213%9 Oct →
dust29–130.0518%8 Oct →
cache8–130.0220%8 Oct →
dust213–90.0514%7 Oct →
mirage6–130.0320%7 Oct →
inferno0–9-0.030%7 Oct →
dust213–80.2112%7 Oct →
dust212–3-0.0019%7 Oct →
dust213–50.0712%7 Oct →
cache5–9-0.087%4 Oct →
dust23–13-0.080%3 Oct →
poseidon5–9-0.0623%2 Oct →
eldorado2–9-0.0623%2 Oct →
debris8–8-0.009%2 Oct →
inferno4–9-0.0731%2 Oct →
dust213–40.0221%28 Sept →
dust212–120.0617%28 Sept →
ancient9–13-0.0313%26 Sept →
dust23–13-0.1313%26 Sept →
dust213–30.0215%24 Sept →
anubis3–13-0.0215%23 Sept →
ancient13–90.0418%23 Sept →
dust211–130.0533%23 Sept →
ancient13–11-0.0113%23 Sept →
anubis8–13-0.0415%23 Sept →
dust213–9-0.0313%22 Sept →
mirage3–13-0.0514%22 Sept →
dust21–5-0.100%22 Sept →
ancient15–15-0.0114%22 Sept →
dust211–13-0.0313%22 Sept →
cache5–13-0.0722%21 Sept →
ancient13–90.0416%21 Sept →
dust27–13-0.0114%21 Sept →
train13–60.0422%18 Sept →
dust28–130.069%18 Sept →
dust25–13-0.0110%18 Sept →
mirage8–13-0.046%17 Sept →
anubis12–160.0019%17 Sept →
anubis13–110.0213%17 Sept →
ancient13–60.0418%17 Sept →
dust210–130.0532%15 Sept →
inferno8–80.0510%12 Sept →
inferno9–50.1026%12 Sept →
dust210–130.0217%11 Sept →
cache13–7-0.0222%7 Sept →
ancient8–20.0622%7 Sept →
inferno9–70.0323%3 Sept →
inferno9–60.1019%3 Sept →
mirage13–110.0319%2 Sept →
dust210–130.0119%1 Sept →
dust213–20.0326%1 Sept →
anubis0–6-0.0918%31 Aug →
mirage3–13-0.0324%31 Aug →
ancient13–110.0117%30 Aug →

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 →

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