nathan ✿

nathan ✿ — CS2 Stats

GB76561198080261823[U:1:119996095]Steam profile ↗✓ No bans

2,185Tracked matches60%Win rate2020Tracked since
6,396Hours in CS42Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

+34Tracked matches · now 2,185
+10.0ppWin rate · 50.0% → 60.0%

Rating over time

Premier CS Rating: 24,192 -2,370 10 May – 30 Jun · 9 days played
24,19227,327peak 27,32710 May30 Jun
27,519Peak Premier in tracked matches
34Days played since 2026-05-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches52——
Win rate67%——
K/D1.72——
Headshot %64%——

Measured 14 Sep 2026 → 14 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 10 among CSDB-tracked players (n=29,846), 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 rate45.2%50.9%
Shot accuracy14.9%13.7%
Kill/death ratio1.271.09
Match win rate48.5%48.4%

Share this profile

CSDB.GGnathan ✿FACEITLevel 10STANDINGTop 12.4% of rankedcsdb.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

Aim81
Positioning60
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWWLWLWWLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +3.2pp headshot accuracy · +8ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 458ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 483ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 479ms

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 (+1.4 against its own average).

Aim8.1
Utility5.4
Positioning6.0
Opening Duels3.7
Clutch3.2

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

NiKo

Plays most like NiKo 97% 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 →

Strengths & areas to improve

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.1
Positioning6.0
Utility5.4
Mechanics5.7
Opening Duels4.2
Win Impact8.3

Composite 6.5/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time503ms−108ms
first ⅓ avg 611ms → last ⅓ avg 503ms
Headshot accuracy16.7%−5.2%
first ⅓ avg 21.9% → last ⅓ avg 16.7%

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

0.10Best match rating · 13–4 · ancient, 19 Aug →
67%Best headshot accuracy · 2–0 · cache, 31 May →
352msFastest reaction time · 3–13 · ancient, 5 Oct →
13–2Biggest win · overpass, 17 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 83% over 6dust2Weakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%-0.02
infernoA2011–955%-0.01
cacheA1811–761%0.00
anubisA149–564%0.01
ancientB136–746%-0.02
nukeC73–443%-0.01
overpassS65–183%0.01
rush_001—21–150%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

178,639Lifetime kills
1.27K/D · Top 25% of Level 10 players
6,246Matches
48.5%Match win rate · Top 50% of Level 10 players
45.2%Headshot %
14.9%Shot accuracy · Top 50% of Level 10 players
15,468MVPs
4,417Hours (in match)
7,003Bombs planted
1,813Bombs defused

Most-used weapons

AK-4755,847
AWP29,767
P2504,941
P903,911
Knife3,645

Lifetime map wins

12,528inferno
8,298dust2
3,410nuke
2,481train
867cbble
788vertigo
137office
106lake

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

Faceit stats

Combat

881Matches
54%Win rate
1.13Avg K/D
76.5ADR
36%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis14049%1.0416.5
Inferno11765%1.2015.9
Dust27251%0.9614.5
Ancient6253%1.0715.1
Nuke2532%0.9114.2
Cache1753%1.0114.1
Train838%0.8413.5
Mirage650%0.8111.7

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
38.0%Accuracy (enemy spotted)
44.6%Spray accuracy
75.8%Counter-strafing
10.0°Preaim
494msReaction time
41.2%T opening success
52.5%CT opening success
0.49Enemies flashed / flash
4.7%Flash assists
5.72HE damage / grenade
9.70Flashes / 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 0.4884 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache3–13-0.069%12 Oct →
anubis13–80.0132%12 Oct →
anubis13–110.0214%12 Oct →
dust212–16-0.0521%12 Oct →
anubis13–90.0522%11 Oct →
cache10–13-0.0315%11 Oct →
nuke13–50.0030%11 Oct →
dust213–6-0.0110%11 Oct →
dust210–13-0.0123%11 Oct →
cache13–10-0.0013%11 Oct →
cache16–140.0112%9 Oct →
cache13–80.0938%9 Oct →
cache13–90.0014%9 Oct →
inferno11–13-0.0223%7 Oct →
cache13–60.007%7 Oct →
dust29–13-0.0310%7 Oct →
ancient13–110.0412%7 Oct →
dust213–7-0.0611%7 Oct →
ancient6–13-0.087%5 Oct →
dust216–13-0.0223%5 Oct →
inferno13–8-0.0014%5 Oct →
ancient3–13-0.0817%5 Oct →
cache4–13-0.055%5 Oct →
inferno6–13-0.0415%4 Oct →
dust213–100.039%4 Oct →
ancient8–13-0.0520%4 Oct →
inferno22–20-0.0313%2 Oct →
ancient5–13-0.0319%2 Oct →
nuke13–10-0.0115%1 Oct →
cache13–50.0310%1 Oct →
rush_0015–8-0.0120%1 Oct →
rush_0018–50.0729%1 Oct →
nuke13–100.0718%1 Oct →
ancient16–12-0.0412%5 Sept →
dust210–13-0.0017%5 Sept →
dust27–13-0.0523%5 Sept →
ancient13–30.0419%5 Sept →
cache13–8-0.0317%26 Aug →
anubis13–5-0.0421%26 Aug →
ancient10–13-0.0211%26 Aug →
anubis13–100.0112%19 Aug →
ancient5–13-0.0611%19 Aug →
ancient13–40.1023%19 Aug →
dust27–13-0.1021%19 Aug →
inferno13–90.0317%15 Aug →
inferno13–100.0423%8 Aug →
inferno11–130.0527%8 Aug →
nuke10–13-0.0225%8 Aug →
ancient13–90.0228%5 Aug →
dust213–3-0.0325%5 Aug →
ancient13–60.0017%3 Aug →
inferno9–13-0.039%2 Aug →
inferno13–11-0.0417%1 Aug →
anubis13–80.0733%1 Aug →
dust216–140.0323%1 Aug →
dust210–13-0.0610%26 Jul →
inferno13–40.0125%22 Jul →
anubis11–130.0111%16 Jul →
dust28–13-0.0714%4 Jul →
anubis9–130.0217%2 Jul →
inferno8–13-0.0216%30 Jun →
anubis10–13-0.0313%30 Jun →
dust28–13-0.0214%30 Jun →
dust213–40.0111%25 Jun →
inferno6–13-0.045%13 Jun →
overpass13–110.0522%13 Jun →
overpass16–140.0321%11 Jun →
anubis9–13-0.0918%8 Jun →
cache9–130.0517%8 Jun →
dust24–130.0115%8 Jun →
inferno3–13-0.0424%8 Jun →
anubis11–13-0.0336%8 Jun →
nuke6–13-0.0315%8 Jun →
overpass13–90.0215%31 May →
anubis13–100.0126%31 May →
cache2–00.0967%31 May →
inferno10–4-0.047%31 May →
overpass13–90.0214%26 May →
inferno16–12-0.0418%26 May →
inferno13–90.0318%21 May →
dust25–13-0.0416%21 May →
inferno8–130.0335%17 May →
overpass4–13-0.0115%17 May →
ancient11–13-0.0513%17 May →
nuke0–13-0.0922%17 May →
inferno16–140.0216%17 May →
overpass13–2-0.0320%17 May →
nuke6–13-0.0215%16 May →
dust28–130.0130%16 May →
dust213–30.0533%16 May →
cache10–13-0.089%16 May →
cache11–70.0221%16 May →
anubis13–100.0926%11 May →
anubis13–8-0.0137%11 May →
cache13–7-0.0118%11 May →
inferno13–8-0.0627%10 May →
inferno8–13-0.0727%10 May →
cache8–130.0113%10 May →
cache4–130.0114%10 May →
cache13–11-0.0024%10 May →

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.