D.N.A. Sikk

D.N.A. Sikk — CS2 Stats

DE76561198189088179[U:1:228822451]Steam profile ↗✓ No bans

625Tracked matches45%Win rate2020Tracked since
6,520Hours in CS27Hrs last 2 wks
CSDB Rating6.2 SolidAll-Rounder
Premier CS Rating17,740Purple band · top ~17.5% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (yesterday). 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: 17,740 +786 5 Oct – 12 Oct · 6 days played
16,95418,255peak 18,2555 Oct12 Oct
18,272Peak Premier in tracked matches
37Days played since 2022-03-04

Premier CS Rating

  • 515 below peak (18,255)
  • Next: Pink band at 20,000 — 2,260 to go
  • Reached: Purple band · Blue band · Light Blue band

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 7 among CSDB-tracked players (n=13,885), 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 7 medianLevel 8 medianvs Level 8
Headshot rate41.2%45.7%46.8%5.6% short
Shot accuracy24.6%12.7%13.0%above
Kill/death ratio1.031.051.060.03 short
Match win rate43.1%45.7%46.3%3.2% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGD.N.A. SikkFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER17,740 · Purple bandcsdb.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

Aim86
Positioning50
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLWLWWLWLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +8.4pp headshot accuracy · −42ms reaction

Win rate down 20pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 498ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 554ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 575ms

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.

Aim8.6
Utility4.8
Positioning5.0
Opening Duels3.1

Sharp aimerExcellent counter-strafing

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 93% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 617ms 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

Aim8.6
Positioning5.0
Utility4.8
Mechanics8.6
Opening Duels2.8
Win Impact3.3

Composite 6.2/10 (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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time627ms−37ms
first ⅓ avg 664ms → last ⅓ avg 627ms
Headshot accuracy18.8%+4.8%
first ⅓ avg 14.0% → last ⅓ avg 18.8%

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 · 16–5 · ancient, 1 Apr →
35%Best headshot accuracy · 9–13 · nuke, 16 Nov →
406msFastest reaction time · 10–13 · inferno, 12 Oct →
16–3Biggest win · mirage, 3 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–5In matches decided by ≤2 rounds
68Overtime games

Map breakdown

infernoBest map · 63% over 8dust2Weakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
mirageA2616–1062%-0.02
dust2C228–1436%-0.02
ancientB168–850%-0.01
infernoA85–363%-0.04
vertigoC83–538%-0.01
anubis—41–325%-0.00
nuke—43–175%-0.02
cache—42–250%0.04
train—30–30%-0.03
overpass—30–30%-0.02
edin—11–0100%-0.02
iris—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

164,068Lifetime kills
1.03K/D
6,075Matches
43.1%Match win rate
41.2%Headshot %
24.6%Shot accuracy · Top 1% of Level 7 players
14,214MVPs
3,885Hours (in match)
5,473Bombs planted
1,773Bombs defused

Most-used weapons

AK-4756,174
AWP20,991
Knife3,658
P2503,159
Tec-91,794
FAMAS1,689

Lifetime map wins

14,496dust2
3,855vertigo
3,818inferno
2,525cbble
968train
596nuke
58lake
43office

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

Faceit stats

Combat

2,715Matches
51%Win rate
1.01Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

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.

18.9%Headshot accuracy
40.1%Accuracy (enemy spotted)
40.5%Spray accuracy
88.9%Counter-strafing
8.2°Preaim
617msReaction time
35.8%T opening success
47.0%CT opening success
0.62Enemies flashed / flash
5.1%Flash assists
6.25HE damage / grenade
11.04Flashes / 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 35.7828% — below the 40% mark we flag

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.

36% win rate across 22 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
inferno10–13-0.0124%12 Oct →
dust213–90.0421%12 Oct →
dust29–130.0026%12 Oct →
mirage13–8-0.0426%12 Oct →
anubis13–80.0914%11 Oct →
anubis8–13-0.0519%8 Oct →
nuke13–8-0.0517%8 Oct →
dust24–130.0222%8 Oct →
cache10–13-0.0317%8 Oct →
mirage7–13-0.0827%7 Oct →
inferno13–7-0.0718%6 Oct →
mirage13–30.0620%6 Oct →
inferno13–5-0.0419%6 Oct →
nuke13–100.0115%5 Oct →
nuke13–100.0120%5 Oct →
mirage6–13-0.102%4 Oct →
cache13–10.065%4 Oct →
dust210–13-0.0413%30 Sept →
dust28–13-0.0512%30 Sept →
ancient5–13-0.096%30 Sept →
cache13–110.1115%29 Sept →
dust23–13-0.0526%1 Mar →
train10–13-0.0810%16 Nov →
edin13–9-0.0218%14 Nov →
train9–13-0.0211%14 Nov →
train12–120.0026%14 Nov →
anubis12–16-0.0121%17 Nov →
anubis5–13-0.0328%16 Nov →
dust213–80.0227%16 Nov →
nuke9–13-0.0435%16 Nov →
mirage13–11-0.068%16 Nov →
mirage13–110.0028%3 Nov →
mirage4–16-0.0624%3 Jul →
dust24–16-0.0712%3 Jul →
mirage16–11-0.0117%2 Jul →
dust216–11-0.047%2 Jul →
dust28–16-0.0613%12 Apr →
mirage16–14-0.0112%12 Apr →
dust216–11-0.0411%12 Apr →
ancient16–11-0.0421%12 Apr →
cache15–150.0113%27 Jan →
inferno9–7-0.060%27 Jan →
vertigo26–28-0.0517%6 Dec →
ancient16–19-0.0312%1 Jul →
dust213–16-0.0415%26 Jun →
vertigo8–16-0.0210%25 Jun →
mirage16–19-0.0611%25 Jun →
vertigo16–10-0.0613%25 Jun →
mirage19–15-0.029%25 Jun →
ancient16–13-0.017%25 Jun →
inferno3–14-0.0722%22 Jun →
dust28–16-0.0919%22 Jun →
vertigo16–110.0213%31 May →
ancient16–60.0023%21 Apr →
mirage12–16-0.0516%21 Apr →
dust216–130.0216%21 Apr →
mirage13–16-0.0011%21 Apr →
ancient16–110.0231%21 Apr →
overpass5–16-0.0217%19 Apr →
vertigo11–16-0.0217%19 Apr →
vertigo7–16-0.0526%19 Apr →
dust27–16-0.0818%18 Apr →
ancient7–16-0.0911%11 Apr →
mirage25–230.0014%6 Apr →
mirage19–17-0.0311%6 Apr →
vertigo16–90.109%6 Apr →
ancient16–80.0218%6 Apr →
mirage13–16-0.0716%5 Apr →
inferno16–130.0114%5 Apr →
mirage16–130.0215%5 Apr →
dust212–16-0.0116%5 Apr →
mirage5–160.049%4 Apr →
inferno14–16-0.0215%4 Apr →
vertigo14–16-0.019%4 Apr →
dust29–16-0.0014%4 Apr →
inferno16–12-0.0316%4 Apr →
mirage16–130.0811%3 Apr →
ancient16–40.0412%3 Apr →
overpass9–160.0122%3 Apr →
mirage16–3-0.043%3 Apr →
ancient22–180.029%3 Apr →
dust216–140.0212%3 Apr →
ancient12–16-0.0011%3 Apr →
dust216–140.0222%3 Apr →
mirage16–90.0418%2 Apr →
ancient9–16-0.0824%2 Apr →
dust212–16-0.0110%2 Apr →
dust216–13-0.0015%2 Apr →
dust213–160.0212%2 Apr →
ancient6–16-0.0816%1 Apr →
mirage9–16-0.0819%1 Apr →
ancient13–16-0.0116%1 Apr →
ancient16–50.1613%1 Apr →
mirage14–160.0611%1 Apr →
mirage16–6-0.0114%25 Mar →
overpass10–16-0.033%25 Mar →
ancient17–19-0.0416%4 Mar →
mirage16–9-0.0119%4 Mar →
iris5–16-0.079%4 Mar →
mirage16–9-0.0418%4 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 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.