NietKoel#.

NietKoel#. — CS2 Stats

NL76561197961918341[U:1:1652613]Steam profile ↗✓ No bans

1,230Tracked matches43%Win rate2020Tracked since
3,346Hours in CS1Hrs last 2 wks
CSDB Rating5.2 DevelopingClutch Specialist
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+12Tracked matches · now 1,230
−5.4ppWin rate · 48.3% → 42.9%

Rating over time

Premier CS Rating: 17,176 -558 18 Jan – 3 Jul · 17 days played
16,30919,111peak 19,11118 Jan3 Jul
19,111Peak Premier in tracked matches
31Days played since 2026-01-18

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate44.6%44.8%45.7%1.1% short
Shot accuracy16.8%12.4%12.7%above
Kill/death ratio1.061.031.05meets
Match win rate72.4%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNietKoel#.FACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning48
Utility58

0–100 skill scores via Leetify.

Recent form

COLD38–58–4Last 10038%Win rateLLWTLLLWLL

Last 10 vs previous 10: −40pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · +55ms reaction

Win rate down 40pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 625ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 664ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 637ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.7 against its own average).

Aim6.2
Utility5.8
Positioning4.8
Opening Duels2.7
Clutch9.4

Reliable in 1v1s

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

ZywOo

Plays most like ZywOo 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 634ms 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

Aim6.2
Positioning4.8
Utility5.8
Mechanics6.2
Opening Duels3.6
Win Impact2.6

Composite 5.2/10 (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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time647ms−6ms
first ⅓ avg 652ms → last ⅓ avg 647ms
Headshot accuracy19.2%−1.6%
first ⅓ avg 20.7% → last ⅓ avg 19.2%

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 · 8–4 · rush_001, 1 Oct →
50%Best headshot accuracy · 2–13 · nuke, 24 Jun →
500msFastest reaction time · 13–8 · cache, 17 Jul →
13–0Biggest win · overpass, 20 Jun →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
8–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

rush_001Best map · 60% over 5infernoWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
nukeC207–1335%-0.02
infernoD184–1422%-0.02
anubisB189–950%-0.01
ancientC114–736%-0.02
overpassB115–645%-0.00
mirageD103–730%-0.02
rush_001A53–260%0.06
cacheA53–260%-0.02
dust2—20–20%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,585Lifetime kills
1.06K/D · Top 50% of Level 6 players
10,047Matches
72.4%Match win rate · Top 1% of Level 6 players
44.6%Headshot %
16.8%Shot accuracy · Top 25% of Level 6 players
13,373MVPs
1,913Hours (in match)
6,386Bombs planted
1,337Bombs defused

Most-used weapons

AK-4724,119
AWP14,417
Tec-92,174
MAC-101,877
MP71,789

Lifetime map wins

7,692inferno
3,938nuke
3,734train
2,768dust2
1,585vertigo
1,078cbble
283lake
208office

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

Faceit stats

Combat

365Matches
50%Win rate
1.07Avg K/D
65.3ADR
35%Headshot %

Clutches & streaks

67%1v1 clutch win
67%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis425%0.588.5
Ancient1100%1.4619.0
Inferno10%0.8117.0
Train1100%1.6720.0
Nuke1100%1.0014.0

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.

18.6%Headshot accuracy
33.5%Accuracy (enemy spotted)
37.1%Spray accuracy
77.9%Counter-strafing
10.1°Preaim
634msReaction time
43.0%T opening success
45.9%CT opening success
0.68Enemies flashed / flash
9.7%Flash assists
11.48HE damage / grenade
5.80Flashes / 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.

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0827%30 Oct →
mirage4–130.0114%15 Oct →
nuke13–70.0125%15 Oct →
mirage15–150.0118%15 Oct →
nuke11–13-0.0113%9 Oct →
anubis4–13-0.0323%9 Oct →
inferno11–13-0.0115%9 Oct →
rush_0018–40.137%1 Oct →
rush_0017–80.0238%1 Oct →
rush_0014–80.0615%1 Oct →
rush_0018–50.1035%1 Oct →
rush_0018–60.0210%1 Oct →
anubis14–16-0.0524%17 Jul →
cache13–8-0.0513%17 Jul →
mirage15–15-0.0629%17 Jul →
nuke13–20.0115%16 Jul →
cache13–80.0525%16 Jul →
ancient13–16-0.0413%3 Jul →
nuke4–13-0.0514%3 Jul →
anubis13–90.0010%2 Jul →
mirage16–12-0.037%2 Jul →
overpass13–110.0415%2 Jul →
ancient11–13-0.0118%30 Jun →
anubis13–2-0.0215%26 Jun →
ancient8–13-0.0324%25 Jun →
mirage16–120.0524%25 Jun →
nuke13–11-0.0617%25 Jun →
nuke6–20.1121%24 Jun →
nuke2–13-0.0450%24 Jun →
overpass0–13-0.0517%24 Jun →
ancient13–9-0.0118%24 Jun →
anubis5–13-0.0411%24 Jun →
inferno3–80.0715%24 Jun →
ancient6–13-0.0016%24 Jun →
inferno5–13-0.0219%20 Jun →
overpass6–13-0.0319%20 Jun →
nuke13–50.0117%20 Jun →
overpass10–130.0113%20 Jun →
ancient12–16-0.0322%20 Jun →
nuke4–130.0113%20 Jun →
overpass13–00.0413%20 Jun →
anubis13–60.0236%20 Jun →
mirage5–13-0.0924%20 Jun →
nuke9–13-0.0128%18 Jun →
anubis11–13-0.035%18 Jun →
ancient13–8-0.0215%11 Jun →
anubis9–13-0.0439%11 Jun →
nuke11–13-0.0116%11 Jun →
inferno13–10-0.0020%7 May →
nuke11–13-0.0115%7 May →
overpass13–70.0027%30 Apr →
anubis5–13-0.0515%30 Apr →
nuke7–13-0.0530%30 Apr →
cache12–12-0.0516%30 Apr →
cache13–11-0.0319%29 Apr →
cache11–13-0.0116%29 Apr →
dust24–13-0.0515%12 Apr →
mirage13–10.0920%12 Apr →
nuke2–9-0.1913%12 Apr →
inferno13–90.0027%12 Apr →
nuke10–13-0.0514%12 Apr →
inferno4–13-0.0318%11 Apr →
inferno2–13-0.0127%11 Apr →
inferno3–13-0.0313%20 Mar →
ancient13–10-0.0218%20 Mar →
mirage5–13-0.0719%20 Mar →
anubis5–13-0.0735%20 Mar →
ancient5–13-0.0126%20 Mar →
dust215–15-0.0316%19 Mar →
overpass4–13-0.0313%19 Mar →
inferno4–13-0.0726%19 Mar →
anubis16–140.0030%18 Mar →
anubis13–11-0.0217%18 Mar →
overpass16–14-0.0113%27 Feb →
ancient13–16-0.0031%27 Feb →
overpass4–13-0.0231%5 Feb →
inferno8–13-0.0017%5 Feb →
anubis9–13-0.0518%5 Feb →
overpass13–100.0323%2 Feb →
mirage6–13-0.0220%2 Feb →
inferno2–9-0.1422%2 Feb →
inferno7–90.0117%2 Feb →
ancient13–8-0.0113%29 Jan →
inferno3–13-0.0631%29 Jan →
nuke4–13-0.086%29 Jan →
anubis13–40.0430%29 Jan →
inferno13–40.0637%28 Jan →
anubis13–30.0528%28 Jan →
nuke6–130.0224%28 Jan →
inferno1–130.008%28 Jan →
anubis13–90.0614%28 Jan →
nuke5–13-0.0421%28 Jan →
anubis7–13-0.0428%23 Jan →
nuke13–50.0011%23 Jan →
mirage5–13-0.0819%22 Jan →
anubis13–90.0218%22 Jan →
inferno16–140.0416%22 Jan →
nuke13–70.0230%18 Jan →
inferno5–13-0.0713%18 Jan →
overpass12–16-0.0216%18 Jan →

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.