Nathan_NTK

Nathan_NTK — CS2 Stats

DE76561199198664493[U:1:1238398765]Steam profile ↗✓ No bans

2,017Tracked matches55%Win rate2022Tracked since
2,868Hours in CS34Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 10 · 1,734 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,734 → 1,734
+76Tracked matches · now 2,017
−3.5ppWin rate · 58.6% → 55.2%

Rating over time

Premier CS Rating: 22,807 +875 22 Mar – 28 Jun · 15 days played
20,79622,807peak 22,80722 Mar28 Jun
22,807Peak Premier in tracked matches
1,734Highest Faceit ELO seen on CSDB
55Days played since 2026-03-22

Faceit ELO

  • At peak — 1,734
  • Next: Level 9 at 1,751 — 17 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-10
  • Level 7 first seen 2026-09-10

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate47.1%50.9%
Shot accuracy6.4%13.7%
Kill/death ratio0.981.09
Match win rate43.8%48.4%

Share this profile

CSDB.GGNathan_NTKFACEITLevel 10 · 1,734 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,734csdb.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

Aim71
Positioning62
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWLLWWLLWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +1.3pp headshot accuracy · +58ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 591ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 569ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 541ms

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 (+1.7 against its own average).

Aim7.1
Utility5.2
Positioning6.2
Opening Duels1.9
Clutch4.8

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

iM

Plays most like iM 87% 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

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.1
Positioning6.2
Utility5.2
Mechanics3.3
Opening Duels3.3
Win Impact6.7

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time529ms−58ms
first ⅓ avg 587ms → last ⅓ avg 529ms
Headshot accuracy22.6%+4.3%
first ⅓ avg 18.3% → last ⅓ avg 22.6%

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

0.15Best match rating · 12–12 · nuke, 26 Jun →
50%Best headshot accuracy · 2–8 · office, 3 Sept →
391msFastest reaction time · 7–13 · inferno, 25 May →
13–0Biggest win · inferno, 30 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
10–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 53% over 19nukeWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2513–1252%-0.01
ancientB2211–1150%-0.01
anubisB1910–953%-0.00
nukeB115–645%0.05
mirageB115–645%-0.00
dust2B63–350%-0.00
cache—32–167%-0.03
office—20–20%0.00
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

116,416Lifetime kills
0.98K/D
6,527Matches
43.8%Match win rate
47.1%Headshot %
6.4%Shot accuracy
25,094MVPs
1,965Hours (in match)
2,417Bombs planted
8,422Bombs defused

Most-used weapons

AK-4738,279
AWP12,130
MP92,880
MAC-102,329
SSG 082,042

Lifetime map wins

10,565inferno
6,911nuke
6,118vertigo
3,931dust2
1,211lake
1,137train
761office
267italy

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

Faceit stats

Combat

442Matches
54%Win rate
1.04Avg K/D
78.5ADR
51%Headshot %

Clutches & streaks

44%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient10552%1.0115.2
Mirage8650%1.0915.8
Inferno8261%1.0015.2
Anubis7553%1.0915.7
Dust24250%0.9314.6
Nuke3262%1.1617.1
Cache1258%0.8414.3
Overpass825%1.1013.4

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.

22.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
38.2%Spray accuracy
65.1%Counter-strafing
8.6°Preaim
527msReaction time
39.8%T opening success
46.2%CT opening success
0.46Enemies flashed / flash
7.0%Flash assists
6.14HE damage / grenade
6.15Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4599 — below the 0.5 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 39.7754% — below the 40% mark we flag

Spend your practice time on Nuke

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–6-0.0114%31 Oct →
inferno13–6-0.0123%31 Oct →
ancient8–13-0.0923%23 Oct →
anubis4–13-0.0142%17 Oct →
ancient13–100.0411%16 Oct →
nuke13–9-0.0126%4 Oct →
ancient9–13-0.0535%4 Oct →
anubis9–130.0214%4 Oct →
inferno13–50.0521%4 Oct →
inferno10–130.0110%3 Oct →
ancient13–3-0.0132%3 Oct →
ancient2–13-0.0510%20 Sept →
nuke9–50.0815%20 Sept →
mirage2–13-0.0615%18 Sept →
anubis13–80.0814%16 Sept →
ancient13–100.0120%16 Sept →
anubis12–12-0.0317%14 Sept →
inferno13–11-0.0930%13 Sept →
inferno7–130.0134%12 Sept →
ancient23–25-0.0219%11 Sept →
anubis13–11-0.0518%10 Sept →
inferno13–4-0.0722%5 Sept →
ancient9–13-0.0228%5 Sept →
ancient8–13-0.0520%5 Sept →
office2–8-0.0150%3 Sept →
inferno13–00.0918%30 Aug →
mirage14–16-0.0424%28 Aug →
anubis13–10-0.0228%28 Aug →
anubis13–9-0.0021%27 Aug →
ancient13–40.1017%27 Aug →
ancient16–12-0.0133%21 Aug →
inferno11–130.0214%19 Aug →
ancient9–13-0.0324%15 Aug →
nuke6–130.0237%15 Aug →
inferno6–9-0.0832%15 Aug →
cache13–11-0.0020%12 Aug →
anubis11–13-0.0318%12 Aug →
inferno19–170.0517%10 Aug →
ancient13–110.0216%10 Aug →
ancient13–20.0119%10 Aug →
inferno13–50.0127%8 Aug →
anubis16–130.0023%28 Jun →
ancient13–9-0.0618%28 Jun →
inferno13–10.0320%26 Jun →
inferno7–13-0.0812%26 Jun →
ancient13–80.0615%26 Jun →
nuke11–90.1027%26 Jun →
nuke12–120.1521%26 Jun →
mirage4–130.0719%26 Jun →
ancient5–13-0.0329%25 Jun →
dust214–16-0.0424%25 Jun →
mirage13–40.0513%25 Jun →
inferno13–90.0635%25 Jun →
anubis13–80.0213%25 Jun →
anubis16–120.0324%25 Jun →
inferno11–13-0.0429%24 Jun →
inferno13–70.0528%23 Jun →
inferno13–9-0.0318%23 Jun →
ancient13–11-0.0324%23 Jun →
ancient13–7-0.0518%23 Jun →
ancient10–13-0.0017%15 Jun →
dust210–13-0.0426%13 Jun →
nuke5–13-0.0828%12 Jun →
mirage13–110.0223%12 Jun →
nuke17–19-0.0016%4 Jun →
inferno13–10-0.0229%27 May →
vertigo13–8-0.0112%26 May →
cache6–13-0.0529%26 May →
cache5–0-0.040%26 May →
inferno7–13-0.0118%25 May →
inferno13–16-0.0419%20 May →
dust23–13-0.0729%19 May →
anubis10–13-0.0023%17 May →
mirage13–20.0316%15 May →
dust213–110.0328%15 May →
ancient8–13-0.0313%15 May →
mirage7–13-0.0721%15 May →
anubis17–19-0.057%6 May →
mirage4–13-0.047%27 Apr →
inferno12–120.0522%25 Apr →
anubis13–30.0613%18 Apr →
anubis13–40.0420%18 Apr →
dust213–30.0920%18 Apr →
inferno9–13-0.0310%12 Apr →
nuke5–9-0.0722%11 Apr →
nuke9–50.1320%11 Apr →
nuke9–60.1416%11 Apr →
mirage13–10-0.0321%31 Mar →
dust219–170.0219%30 Mar →
anubis14–16-0.0114%30 Mar →
ancient15–19-0.0223%29 Mar →
office10–130.0233%27 Mar →
mirage7–13-0.0319%26 Mar →
anubis3–13-0.0619%25 Mar →
mirage13–70.0611%25 Mar →
inferno8–13-0.0022%23 Mar →
nuke4–130.0211%22 Mar →
inferno7–13-0.0515%22 Mar →
anubis9–13-0.0220%22 Mar →
inferno13–9-0.0426%22 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.