yelniF

yelniF — CS2 Stats

GB76561199140806224[U:1:1180540496]Steam profile ↗✓ No bans

1,514Tracked matches31%Win rate2021Tracked since
1,938Hours in CS5Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating21,199Top 50% of 204,219 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#64703 of 251274 tracked
FaceitLevel 9 · 2,031 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (12 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: 21,199 -4,233 29 Jun – 30 Sept · 18 days played
21,08826,534peak 26,53429 Jun30 Sept
Faceit ELO: 2,031 +0 1 Sept – 26 Sept · 3 observations
2,0312,031peak 2,0311 Sept26 Sept
26,534Peak Premier in tracked matches
2,031Highest Faceit ELO seen on CSDB
34Days played since 2026-06-23

Faceit ELO

  • At peak — 2,031
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 469 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • 5,335 below peak (26,534)
  • -2,501 over 30 days · declining
  • -4,233 over 90 days
  • Next: Red band at 25,000 — 3,801 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches26——
Win rate27%——
K/D1.04——
Headshot %57%——

Measured 12 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate55.3%48.2%50.9%above
Shot accuracy10.5%13.3%13.7%3.2% short
Kill/death ratio0.971.071.090.11 short
Match win rate40.2%46.9%48.4%8.2% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGyelniFFACEITLevel 9 · 2,031 ELOSTANDINGTop 20.7% of rankedPREMIER21,199 · Pink band30 DAYS0 ELOPEAK ELO2,031csdb.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

Aim84
Positioning57
Utility50

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateWLWLLLLWLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −0.3pp headshot accuracy · −10ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 564ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 572ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 577ms

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 (+1.9 against its own average).

Aim8.4
Utility5.0
Positioning5.7
Opening Duels2.5
Clutch2.0

Strong CT-side opener

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

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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.

T-side openings. Opening success drops from 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim8.4
Positioning5.7
Utility5.0
Mechanics6.9
Opening Duels2.4
Win Impact0.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time580ms−79ms
first ⅓ avg 659ms → last ⅓ avg 580ms
Headshot accuracy24.6%−0.5%
first ⅓ avg 25.1% → last ⅓ avg 24.6%

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

0.16Best match rating · 9–4 · inferno, 30 Jul →
50%Best headshot accuracy · 9–4 · inferno, 30 Jul →
406msFastest reaction time · 8–8 · inferno, 12 Sept →
13–1Biggest win · inferno, 8 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 64% over 11anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB3215–1747%-0.02
dust2C166–1038%0.01
nukeD155–1033%-0.01
mirageC135–838%-0.02
ancientA117–464%0.00
anubisD72–529%0.01
cache—42–250%-0.02
vertigo—11–0100%0.12
poseidon—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,419Lifetime kills
0.97K/D
3,543Matches
40.2%Match win rate
55.3%Headshot % · Top 25% of Level 9 players
10.5%Shot accuracy
8,778MVPs
1,164Hours (in match)
2,736Bombs planted
955Bombs defused

Most-used weapons

AK-4731,967
AWP5,147
MP92,192
MAC-101,211
FAMAS1,029

Lifetime map wins

6,973inferno
2,530dust2
2,209nuke
1,879vertigo
350train
62cbble
12office
10safehouse

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

Faceit stats

Combat

332Matches
56%Win rate
1.05Avg K/D
71.5ADR
48%Headshot %

Clutches & streaks

30%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno5358%0.9713.7
Mirage4852%1.0313.6
Ancient4560%1.1815.9
Dust24146%0.8615.2
Anubis3773%1.1115.8
Nuke3050%0.9814.7
Overpass1060%1.0414.0
Cache367%0.6812.0

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.

23.2%Headshot accuracy
37.6%Accuracy (enemy spotted)
40.0%Spray accuracy
81.0%Counter-strafing
8.9°Preaim
582msReaction time
27.3%T opening success
49.1%CT opening success
0.59Enemies flashed / flash
3.6%Flash assists
9.87HE damage / grenade
7.41Flashes / 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. 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 27.2547% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10.0522%8 Oct →
cache14–16-0.0329%30 Sept →
nuke13–60.0215%30 Sept →
dust26–13-0.0227%30 Sept →
anubis11–130.0127%29 Sept →
ancient10–130.0218%29 Sept →
inferno4–13-0.0931%29 Sept →
inferno13–80.0521%29 Sept →
ancient9–130.0723%24 Sept →
nuke5–13-0.0426%24 Sept →
inferno6–90.0116%16 Sept →
inferno5–9-0.1035%16 Sept →
dust211–130.0620%15 Sept →
inferno8–13-0.0924%15 Sept →
dust28–130.0119%15 Sept →
mirage13–9-0.0422%15 Sept →
mirage2–90.0532%15 Sept →
inferno3–9-0.1746%14 Sept →
inferno6–9-0.0810%12 Sept →
vertigo9–30.1218%12 Sept →
nuke9–60.0616%12 Sept →
inferno8–80.0331%12 Sept →
poseidon5–9-0.0533%11 Sept →
cache9–13-0.0615%7 Sept →
nuke4–13-0.0945%7 Sept →
ancient13–90.0124%7 Sept →
anubis9–13-0.0521%3 Sept →
inferno10–130.0520%3 Sept →
ancient6–13-0.0338%30 Aug →
inferno13–40.0219%30 Aug →
nuke18–22-0.0018%30 Aug →
dust216–13-0.0324%28 Aug →
nuke15–150.0226%27 Aug →
dust211–130.0523%27 Aug →
anubis9–130.0316%27 Aug →
mirage16–120.0024%27 Aug →
ancient7–13-0.0224%27 Aug →
inferno16–12-0.0416%25 Aug →
dust210–130.0623%25 Aug →
dust213–40.0718%20 Aug →
inferno10–130.0033%20 Aug →
anubis13–90.1319%18 Aug →
dust213–70.0424%18 Aug →
nuke0–13-0.115%18 Aug →
dust27–13-0.0315%17 Aug →
inferno9–13-0.0226%17 Aug →
ancient16–130.0332%17 Aug →
mirage11–13-0.0211%12 Aug →
dust213–9-0.0226%12 Aug →
inferno13–10-0.0425%12 Aug →
nuke16–130.0221%11 Aug →
cache13–11-0.0119%11 Aug →
ancient13–40.0326%11 Aug →
anubis10–13-0.0124%11 Aug →
dust213–8-0.0222%11 Aug →
anubis13–11-0.0312%10 Aug →
inferno13–7-0.0526%10 Aug →
dust210–13-0.0126%9 Aug →
mirage11–13-0.0218%9 Aug →
inferno13–10.0117%9 Aug →
mirage13–80.0017%8 Aug →
ancient13–7-0.0123%8 Aug →
nuke11–13-0.0520%8 Aug →
mirage13–6-0.0715%8 Aug →
dust211–13-0.0114%7 Aug →
mirage11–13-0.029%7 Aug →
inferno13–40.0131%7 Aug →
dust29–13-0.0536%7 Aug →
mirage14–160.0115%7 Aug →
nuke10–13-0.0022%7 Aug →
nuke10–13-0.0523%31 Jul →
dust213–16-0.0122%31 Jul →
mirage0–13-0.0527%31 Jul →
inferno5–9-0.0929%30 Jul →
inferno3–9-0.2225%30 Jul →
inferno9–40.1650%30 Jul →
anubis4–13-0.0123%27 Jul →
mirage11–13-0.0615%27 Jul →
mirage13–9-0.0319%27 Jul →
ancient13–4-0.0535%27 Jul →
inferno11–20.0131%27 Jul →
nuke13–80.0038%27 Jul →
ancient13–7-0.0436%23 Jul →
nuke6–130.0324%23 Jul →
inferno13–70.0114%23 Jul →
inferno8–80.1019%10 Jul →
inferno9–60.0432%8 Jul →
inferno9–50.1532%7 Jul →
inferno0–9-0.210%7 Jul →
inferno3–9-0.0938%7 Jul →
dust213–40.0127%5 Jul →
nuke8–130.0121%5 Jul →
ancient13–8-0.0116%5 Jul →
inferno13–10-0.0035%5 Jul →
nuke13–7-0.0422%29 Jun →
cache13–110.0122%29 Jun →
inferno4–13-0.080%29 Jun →
mirage10–130.0227%29 Jun →
inferno16–13-0.0325%29 Jun →
inferno3–90.1127%23 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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