Jelnoz

Jelnoz — CS2 Stats

76561199124403378[U:1:1164137650]Steam profile ↗✓ No bans

1,782Tracked matches61%Win rate2022Tracked since
3,476Hours in CS
CSDB Rating6.9 SolidPositional Player
Premier CS Rating16,986Purple band · top ~20.5% of ranked players (population est.)
FaceitLevel 7 · 1,233 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (13 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: 16,986 +364 27 Jul – 21 Oct · 21 days played
15,62619,388peak 19,38827 Jul21 Oct
19,388Peak Premier in tracked matches
1,233Highest Faceit ELO seen on CSDB
41Days played since 2026-07-13

Faceit ELO

  • At peak — 1,233
  • Next: Level 7 at 1,351 — 118 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 2,402 below peak (19,388)
  • +184 over 30 days · steady
  • +364 over 90 days
  • Next: Pink band at 20,000 — 3,014 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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate48.2%45.7%46.8%above
Shot accuracy6.4%12.7%13.0%6.6% short
Kill/death ratio0.901.051.060.16 short
Match win rate45.5%45.7%46.3%meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJelnozFACEITLevel 7 · 1,233 ELOSTANDINGTop 42.3% of rankedPREMIER16,986 · Purple bandPEAK ELO1,233csdb.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

Aim65
Positioning66
Utility64

0–100 skill scores via Leetify.

Recent form

HOT54–42–4Last 10054%Win rateWWWWLWTWLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +4.8pp headshot accuracy · +26ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 567ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 551ms

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 (+1.2 against its own average).

Aim6.5
Utility6.4
Positioning6.6
Opening Duels5.4
Clutch3.2

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

m0NESY

Plays most like m0NESY 78% 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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 53% on CT — first contacts on the defending side are being lost.

Reaction time. 557ms 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

Aim6.5
Positioning6.6
Utility6.4
Mechanics6.8
Opening Duels7.7
Win Impact8.6

Composite 6.9/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time567ms−34ms
first ⅓ avg 602ms → last ⅓ avg 567ms
Headshot accuracy15.7%−0.6%
first ⅓ avg 16.4% → 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

0.13Best match rating · 13–3 · anubis, 10 Oct →
31%Best headshot accuracy · 13–11 · office, 30 Oct →
406msFastest reaction time · 7–13 · ancient, 23 Aug →
13–0Biggest win · anubis, 27 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
11–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 80% over 10mirageWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
mirageC249–1538%-0.01
ancientC219–1243%-0.00
infernoA2011–955%-0.01
anubisA116–555%0.02
nukeS108–280%0.04
dust2S96–367%0.02
office—22–0100%-0.04
cache—22–0100%-0.01
train—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,588Lifetime kills
0.90K/D
4,128Matches
45.5%Match win rate
48.2%Headshot % · Top 50% of Level 7 players
6.4%Shot accuracy
8,665MVPs
3,476Hours (in match)
1,216Bombs planted
1,358Bombs defused

Most-used weapons

AK-4728,053
AWP5,873
SSG 082,250
MP92,013
MAC-101,593

Lifetime map wins

10,269inferno
3,685dust2
2,095nuke
1,870vertigo
472train
236lake
233office
71ar_shoots

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

Faceit stats

Combat

567Matches
50%Win rate
0.99Avg K/D
88.0ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12554%1.0016.5
Inferno6847%1.0417.0
Ancient5944%0.9816.2
Dust25046%0.9715.5
Anubis4356%1.0216.1
Nuke4161%0.9715.4
Vertigo3333%0.9915.8
Overpass1191%1.4021.4

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.

16.2%Headshot accuracy
32.5%Accuracy (enemy spotted)
32.0%Spray accuracy
80.6%Counter-strafing
9.5°Preaim
557msReaction time
68.9%T opening success
52.8%CT opening success
0.53Enemies flashed / flash
10.3%Flash assists
14.58HE damage / grenade
9.69Flashes / match

Recommended for you

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.

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–7-0.0213%30 Oct →
office13–11-0.0531%30 Oct →
ancient13–6-0.0615%21 Oct →
nuke8–10.0314%20 Oct →
mirage9–13-0.0322%20 Oct →
dust213–90.0623%20 Oct →
inferno12–120.0925%19 Oct →
nuke13–30.0213%18 Oct →
ancient7–130.0311%11 Oct →
inferno16–120.0418%11 Oct →
nuke13–9-0.0213%11 Oct →
ancient11–130.0115%10 Oct →
anubis13–30.1315%10 Oct →
mirage14–16-0.0116%10 Oct →
train13–8-0.0214%9 Oct →
mirage5–13-0.0316%1 Oct →
mirage8–13-0.0614%1 Oct →
dust213–50.0813%1 Oct →
mirage13–50.0115%30 Sept →
mirage13–30.036%30 Sept →
mirage16–190.0316%30 Sept →
anubis12–12-0.0012%30 Sept →
inferno5–13-0.0821%18 Sept →
mirage13–10-0.049%18 Sept →
anubis16–140.1021%15 Sept →
mirage13–110.0314%15 Sept →
mirage13–7-0.0114%15 Sept →
inferno4–130.0523%14 Sept →
inferno9–13-0.0413%14 Sept →
ancient8–13-0.0312%13 Sept →
inferno13–11-0.0118%10 Sept →
inferno13–30.079%10 Sept →
dust28–13-0.0317%10 Sept →
inferno13–110.0120%6 Sept →
mirage13–90.0028%6 Sept →
mirage7–13-0.0210%2 Sept →
mirage11–130.0217%2 Sept →
inferno13–3-0.0022%2 Sept →
mirage7–13-0.0413%2 Sept →
anubis11–13-0.079%2 Sept →
nuke13–60.0517%2 Sept →
anubis4–130.0115%1 Sept →
mirage13–16-0.0314%1 Sept →
cache13–10-0.0119%31 Aug →
inferno13–80.0014%30 Aug →
inferno13–7-0.0313%30 Aug →
ancient5–13-0.0318%28 Aug →
nuke13–11-0.017%27 Aug →
inferno13–11-0.039%27 Aug →
inferno9–13-0.0525%26 Aug →
ancient13–80.0620%26 Aug →
anubis13–30.0421%26 Aug →
ancient11–13-0.0214%26 Aug →
nuke15–19-0.0016%26 Aug →
ancient8–13-0.0319%26 Aug →
dust213–100.0516%25 Aug →
inferno1–13-0.0516%25 Aug →
dust219–170.0212%25 Aug →
ancient13–10-0.045%25 Aug →
cache13–3-0.009%25 Aug →
mirage6–13-0.0421%25 Aug →
ancient7–130.0110%25 Aug →
inferno11–13-0.0417%24 Aug →
ancient13–60.0322%24 Aug →
inferno13–70.0122%24 Aug →
mirage13–60.0124%24 Aug →
nuke9–130.0320%24 Aug →
anubis13–3-0.0014%24 Aug →
ancient7–130.0517%23 Aug →
inferno7–9-0.1315%23 Aug →
dust29–13-0.0120%21 Aug →
ancient13–60.0115%20 Aug →
mirage3–13-0.0314%20 Aug →
mirage10–130.0116%20 Aug →
ancient13–110.0119%13 Aug →
mirage5–13-0.0217%11 Aug →
ancient13–100.0915%10 Aug →
nuke13–30.0413%10 Aug →
ancient12–12-0.0629%5 Aug →
ancient5–130.008%5 Aug →
mirage4–13-0.0024%4 Aug →
dust22–130.0522%4 Aug →
anubis11–13-0.0711%4 Aug →
ancient3–13-0.0724%4 Aug →
dust213–50.0111%4 Aug →
inferno13–80.0924%4 Aug →
nuke13–40.1222%31 Jul →
mirage13–50.0117%28 Jul →
inferno2–13-0.086%27 Jul →
anubis13–00.1220%27 Jul →
anubis15–15-0.0322%27 Jul →
ancient13–8-0.0114%23 Jul →
nuke13–60.0917%23 Jul →
inferno13–9-0.0113%23 Jul →
mirage10–130.0417%21 Jul →
ancient13–40.0110%20 Jul →
ancient5–13-0.0113%20 Jul →
mirage13–90.0121%19 Jul →
dust213–11-0.048%19 Jul →
anubis13–11-0.0112%13 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 →

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