dAk1nG

dAk1nG — CS2 Stats

TV76561198316896080[U:1:356630352]Steam profile ↗✓ No bans

1,364Tracked matches46%Win rate2020Tracked since
2,173Hours in CS
CSDB Rating5.8 SolidAll-Rounder
FaceitLevel 6 · 1,463 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,364 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,665 -2,769 4 Mar – 2 Jul · 9 days played
14,66517,434peak 17,4344 Mar2 Jul
Faceit ELO: 1,463 +0 1 Sept – 1 Oct · 4 observations
1,4631,463peak 1,4631 Sept1 Oct
17,434Peak Premier in tracked matches
1,463Highest Faceit ELO seen on CSDB
66Days played since 2025-03-04

Faceit ELO

  • At peak — 1,463
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 68 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,777), 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 rate46.6%44.8%45.7%meets
Shot accuracy15.3%12.4%12.7%above
Kill/death ratio0.951.031.050.10 short
Match win rate42.5%45.2%45.7%3.1% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGdAk1nGFACEITLevel 6 · 1,463 ELOSTANDINGTop 54.0% of ranked30 DAYS0 ELOPEAK ELO1,463csdb.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

Aim79
Positioning56
Utility61

0–100 skill scores via Leetify.

Recent form

COLD43–49–8Last 10043%Win rateTWTLLLWLLW

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · −2.9pp headshot accuracy · +8ms reaction

Win rate down 30pp 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

  • 1–2–2 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 673ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 652ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 648ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.9
Utility6.1
Positioning5.6
Opening Duels5.4

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 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim7.9
Positioning5.6
Utility6.1
Mechanics7.9
Opening Duels4.4
Win Impact3.7

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time646ms+8ms
first ⅓ avg 637ms → last ⅓ avg 646ms
Headshot accuracy20.6%+0.3%
first ⅓ avg 20.3% → last ⅓ avg 20.6%

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

0.11Best match rating · 13–11 · dust2, 7 Oct →
44%Best headshot accuracy · 8–13 · dust2, 3 Jul →
438msFastest reaction time · 1–13 · mirage, 18 Dec →
13–2Biggest win · inferno, 17 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 59% over 17mirageWeakest map · 32% over 31
MapGradePlayedRecordWin rateAvg rating
mirageD3110–2132%-0.02
dust2B2914–1548%0.00
infernoA1710–759%-0.00
ancientB84–450%0.00
nukeD62–433%-0.01
cache—31–233%0.02
overpass—20–20%-0.05
train—21–150%-0.02
office—10–10%-0.00
anubis—11–0100%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 31). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,801Lifetime kills
0.95K/D
4,812Matches
42.5%Match win rate
46.6%Headshot % · Top 50% of Level 6 players
15.3%Shot accuracy · Top 50% of Level 6 players
12,044MVPs
2,173Hours (in match)
3,900Bombs planted
1,081Bombs defused

Most-used weapons

AK-4735,039
AWP12,312
FAMAS2,693
MP91,883
P2501,816

Lifetime map wins

9,558dust2
9,342inferno
1,627train
1,291vertigo
1,267nuke
568cbble
50office
11lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.3%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.2%Spray accuracy
85.3%Counter-strafing
9.1°Preaim
644msReaction time
38.7%T opening success
56.3%CT opening success
0.63Enemies flashed / flash
8.1%Flash assists
10.05HE damage / grenade
8.01Flashes / 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 38.7215% — below the 40% mark we flag

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.

32% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage15–15-0.0420%4 Aug →
dust213–50.0933%4 Aug →
ancient15–150.0625%3 Aug →
cache4–130.0417%3 Aug →
dust211–13-0.0214%2 Aug →
dust28–130.0223%2 Aug →
mirage13–90.1020%2 Aug →
mirage6–13-0.0710%30 Jul →
mirage6–13-0.0822%15 Jul →
cache13–70.0313%15 Jul →
mirage2–13-0.0611%15 Jul →
dust213–110.0236%15 Jul →
mirage16–140.0611%15 Jul →
dust213–10-0.0229%15 Jul →
inferno13–110.0023%15 Jul →
mirage5–13-0.0715%11 Jul →
dust216–12-0.0128%11 Jul →
dust213–110.0328%9 Jul →
inferno2–13-0.0226%9 Jul →
office12–12-0.0017%8 Jul →
dust29–130.0418%8 Jul →
inferno15–150.0623%4 Jul →
mirage13–110.039%3 Jul →
dust28–13-0.0844%3 Jul →
dust213–50.0219%27 Jun →
inferno11–13-0.0215%7 Jun →
mirage5–13-0.0022%7 Jun →
mirage13–6-0.0022%11 May →
dust210–13-0.0310%11 May →
cache6–13-0.0123%11 May →
dust213–90.0213%11 May →
mirage15–15-0.0230%29 Apr →
mirage8–13-0.0611%21 Mar →
inferno16–140.0417%17 Feb →
mirage7–130.0614%17 Feb →
dust211–130.0539%29 Jan →
dust28–13-0.1021%28 Jan →
nuke7–13-0.0417%28 Jan →
dust211–13-0.0017%25 Jan →
dust22–13-0.0723%12 Jan →
inferno11–13-0.0312%8 Jan →
mirage8–130.028%29 Dec →
inferno13–60.1018%29 Dec →
mirage4–13-0.0524%29 Dec →
dust213–11-0.0215%29 Dec →
mirage5–13-0.0718%29 Dec →
overpass3–13-0.0521%29 Dec →
inferno13–100.0027%29 Dec →
inferno13–80.0113%27 Dec →
mirage1–13-0.090%18 Dec →
mirage9–13-0.0526%23 Nov →
overpass9–13-0.0422%27 Oct →
dust213–110.1127%7 Oct →
mirage15–150.0215%5 Oct →
mirage10–13-0.0612%23 Aug →
train8–13-0.019%20 Aug →
mirage13–9-0.0526%15 Aug →
ancient13–110.0124%14 Aug →
mirage13–80.0514%14 Aug →
ancient13–5-0.0320%14 Aug →
dust27–13-0.0227%6 Aug →
dust212–16-0.0116%18 Jul →
inferno13–2-0.0117%17 Jul →
mirage13–50.0716%13 Jul →
nuke13–100.0222%12 Jul →
dust28–13-0.0620%8 Jul →
ancient13–3-0.0218%7 Jul →
mirage13–8-0.0319%5 Jul →
dust213–50.0523%2 Jul →
mirage13–5-0.0111%2 Jul →
anubis13–20.0819%26 Jun →
nuke13–7-0.0313%26 Jun →
inferno13–80.0122%24 Jun →
dust215–150.0525%20 Jun →
mirage11–13-0.0418%10 Jun →
inferno16–12-0.0021%10 Jun →
ancient9–13-0.0317%24 May →
inferno9–13-0.0611%19 May →
train13–10-0.0433%16 May →
mirage15–15-0.0417%14 May →
ancient9–13-0.0118%14 May →
inferno4–13-0.0615%11 May →
dust210–130.0236%4 May →
dust213–70.0921%27 Apr →
dust213–70.0219%27 Apr →
nuke7–13-0.0416%22 Apr →
dust25–13-0.0310%20 Apr →
nuke11–130.0028%18 Apr →
mirage9–13-0.0420%17 Apr →
ancient13–40.0513%17 Apr →
inferno13–10-0.0110%13 Apr →
ancient11–13-0.0124%11 Apr →
mirage10–13-0.0716%8 Apr →
mirage13–9-0.0830%1 Apr →
inferno13–10-0.0438%30 Mar →
nuke10–130.0119%26 Mar →
dust213–9-0.0322%9 Mar →
mirage9–13-0.0216%8 Mar →
dust213–8-0.0226%7 Mar →
inferno10–130.0027%4 Mar →

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 →

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