Gamer_D_DK

Gamer_D_DK — CS2 Stats

DK76561197996649866[U:1:36384138]Steam profile ↗✓ No bans

520Tracked matches37%Win rate2023Tracked since
CSDB Rating2.4 LearningPositional Player
Premier CS Rating3,130Grey band · top ~86.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 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: 3,130 -702 13 Sept – 25 Oct · 31 days played
2,8083,895peak 3,89513 Sept25 Oct
4,018Peak Premier in tracked matches
30Days played since 2026-09-13

Premier CS Rating

  • 765 below peak (3,895)
  • -400 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1,870 to go

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

Share this profile

CSDB.GGGamer_D_DKPREMIER3,130 · Grey bandcsdb.gg/stats

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Performance scores

Aim30
Positioning41
Utility18

0–100 skill scores via Leetify.

Recent form

COLD38–61–1Last 10038%Win rateLLWLLLWLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −3.5pp headshot accuracy · +56ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 667ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 683ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 655ms

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 (+2.1 against its own average).

Aim3.0
Utility1.8
Positioning4.1
Opening Duels0.0

Limited utility dependence

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 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 639ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim3.0
Positioning4.1
Utility1.8
Mechanics3.2
Opening Duels0.9
Win Impact0.6

Composite 2.4/10 (Learning), 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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time642ms−11ms
first ⅓ avg 653ms → last ⅓ avg 642ms
Headshot accuracy12.0%−0.4%
first ⅓ avg 12.4% → last ⅓ avg 12.0%

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

0.09Best match rating · 13–8 · inferno, 26 Sept →
30%Best headshot accuracy · 3–13 · dust2, 11 Oct →
469msFastest reaction time · 13–6 · inferno, 13 Oct →
13–3Biggest win · inferno, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 58% over 26ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2615–1158%-0.03
nukeA2112–957%-0.02
dust2D193–1616%-0.02
anubisD143–1121%-0.03
mirageC114–736%-0.04
ancientD50–50%-0.04
cache—41–325%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.1%Spray accuracy
64.5%Counter-strafing
16.1°Preaim
639msReaction time
32.2%T opening success
34.9%CT opening success
0.30Enemies flashed / flash
1.1%Flash assists
4.82HE damage / grenade
0.95Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 16.1218° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.4934% — below the 15% mark we flag

    Aim Training →
  3. 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 0.2973 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0312%25 Oct →
inferno8–13-0.0714%25 Oct →
inferno13–10-0.0610%24 Oct →
dust214–16-0.0210%24 Oct →
dust27–13-0.049%24 Oct →
dust27–13-0.087%24 Oct →
mirage13–11-0.056%24 Oct →
nuke9–13-0.0012%24 Oct →
dust24–130.009%24 Oct →
inferno13–4-0.018%24 Oct →
nuke13–5-0.047%24 Oct →
inferno11–13-0.087%23 Oct →
inferno13–110.0213%23 Oct →
dust24–13-0.0911%23 Oct →
nuke5–130.0121%23 Oct →
mirage10–13-0.0316%22 Oct →
dust21–13-0.0910%22 Oct →
ancient10–13-0.0515%20 Oct →
dust24–13-0.0227%20 Oct →
inferno13–8-0.044%19 Oct →
anubis10–130.014%19 Oct →
inferno5–13-0.0414%18 Oct →
inferno8–13-0.0213%17 Oct →
inferno13–10-0.0013%17 Oct →
mirage5–13-0.1515%17 Oct →
nuke13–7-0.0515%17 Oct →
nuke13–110.008%17 Oct →
inferno13–30.066%17 Oct →
inferno16–120.0113%16 Oct →
nuke8–13-0.0118%16 Oct →
dust25–130.0217%16 Oct →
ancient8–13-0.0118%15 Oct →
inferno13–7-0.0213%15 Oct →
nuke2–13-0.100%15 Oct →
anubis5–13-0.1411%14 Oct →
dust27–130.027%14 Oct →
mirage12–16-0.0211%13 Oct →
inferno13–6-0.025%13 Oct →
inferno13–5-0.045%12 Oct →
nuke11–13-0.108%12 Oct →
dust29–13-0.0311%11 Oct →
mirage8–13-0.077%11 Oct →
nuke13–10-0.028%11 Oct →
dust23–13-0.0930%11 Oct →
cache10–13-0.0111%10 Oct →
anubis13–90.0213%10 Oct →
ancient5–13-0.075%10 Oct →
nuke13–50.0718%10 Oct →
dust216–140.048%9 Oct →
nuke12–16-0.0218%9 Oct →
nuke13–9-0.016%7 Oct →
cache13–4-0.030%6 Oct →
dust23–13-0.0225%6 Oct →
dust213–7-0.0210%6 Oct →
nuke13–3-0.019%6 Oct →
nuke13–5-0.0219%6 Oct →
inferno1–13-0.073%5 Oct →
dust26–130.0214%5 Oct →
anubis6–13-0.057%5 Oct →
mirage5–13-0.089%5 Oct →
inferno11–13-0.008%4 Oct →
dust216–14-0.0214%3 Oct →
inferno5–13-0.0620%3 Oct →
nuke16–14-0.0117%3 Oct →
inferno3–13-0.089%2 Oct →
mirage13–70.0412%2 Oct →
inferno13–110.0012%1 Oct →
mirage13–70.018%1 Oct →
inferno16–14-0.0512%1 Oct →
anubis16–13-0.0418%30 Sept →
inferno13–7-0.0611%30 Sept →
ancient5–13-0.086%30 Sept →
anubis11–13-0.0513%29 Sept →
cache8–13-0.0310%29 Sept →
inferno13–6-0.0211%29 Sept →
nuke14–16-0.019%29 Sept →
anubis5–13-0.0511%28 Sept →
dust29–13-0.0613%28 Sept →
mirage13–50.0823%28 Sept →
dust24–13-0.0115%27 Sept →
dust210–13-0.0214%27 Sept →
anubis0–13-0.079%27 Sept →
anubis3–130.0314%27 Sept →
anubis15–15-0.0217%27 Sept →
inferno11–13-0.0418%26 Sept →
inferno13–80.0918%26 Sept →
mirage9–13-0.069%26 Sept →
nuke13–50.029%26 Sept →
anubis9–130.0313%26 Sept →
anubis5–13-0.1212%26 Sept →
inferno8–13-0.0410%26 Sept →
nuke14–16-0.0412%25 Sept →
anubis13–9-0.0011%25 Sept →
nuke9–13-0.0521%25 Sept →
anubis8–130.028%25 Sept →
mirage4–13-0.1311%25 Sept →
nuke16–13-0.0710%24 Sept →
cache7–13-0.0413%24 Sept →
inferno3–13-0.038%24 Sept →
nuke13–3-0.0511%24 Sept →

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.