DDin47

DDin47 — CS2 Stats

DE76561199679407576[U:1:1719141848]Steam profile ↗✓ No bans

572Tracked matches48%Win rate2024Tracked since
1,639Hours in CS20Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating2,274Grey band · top ~90.4% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 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: 2,274 -2,848 28 Jun – 1 Oct · 42 days played
1,7386,704peak 6,70428 Jun1 Oct
7,074Peak Premier in tracked matches
55Days played since 2026-06-28

Premier CS Rating

  • 4,430 below peak (6,704)
  • -3,214 over 30 days · declining
  • -2,778 over 90 days
  • Next: Light Blue band at 5,000 — 2,726 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-01

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
Matches139——
Win rate37%——
K/D0.77——
Headshot %41%——

Measured 1 Sep 2026 → 2 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate34.3%38.2%39.9%5.6% short
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.730.830.920.19 short
Match win rate42.7%40.2%42.3%meets

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDDin47PREMIER2,274 · Grey 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

Aim52
Positioning55
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLWLWLWWLWT

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · −0.5pp headshot accuracy · +50ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 708ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 688ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 663ms

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 against its own average).

Aim5.2
Utility2.6
Positioning5.5
Opening Duels4.1
Clutch2.0

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

donk

Plays most like donk 84% 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

Reaction time. 659ms 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

Aim5.2
Positioning5.5
Utility2.6
Mechanics6.2
Opening Duels3.5
Win Impact4.4

Composite 4.3/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time651ms−5ms
first ⅓ avg 656ms → last ⅓ avg 651ms
Headshot accuracy11.1%−0.1%
first ⅓ avg 11.2% → last ⅓ avg 11.1%

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 · 13–1 · anubis, 16 Sept →
41%Best headshot accuracy · 13–3 · train, 27 Jul →
406msFastest reaction time · 9–6 · inferno, 13 Sept →
13–1Biggest win · anubis, 16 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 59% over 27dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2716–1159%-0.00
infernoB199–1047%-0.00
ancientC135–838%-0.00
dust2C114–736%-0.01
nukeA116–555%0.02
anubisA95–456%-0.00
cacheC52–340%-0.02
vertigo—30–30%-0.05
train—11–0100%0.01
shelter—10–10%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,394Lifetime kills
0.73K/D
2,479Matches
42.7%Match win rate · Top 50% of Grey band
34.3%Headshot %
0.0%Shot accuracy
3,893MVPs
1,000Hours (in match)
1,238Bombs planted
383Bombs defused

Most-used weapons

AK-4710,091
AWP3,070
MAC-102,184
MP91,661
AUG1,110
MP7831

Lifetime map wins

5,285dust2
3,870inferno
1,761nuke
636vertigo
438train
126office
28italy
5ar_shoots

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

Faceit stats

Combat

38Matches
55%Win rate
0.93Avg K/D
66.1ADR
36%Headshot %

Clutches & streaks

30%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%0.8611.1
Dust2838%0.8413.5
Anubis650%0.736.2
Inferno667%1.3216.8
Ancient450%0.8612.0
Cache2100%0.809.5
Nuke1100%1.8220.0

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.

10.8%Headshot accuracy
36.3%Accuracy (enemy spotted)
41.6%Spray accuracy
77.9%Counter-strafing
11.5°Preaim
659msReaction time
47.9%T opening success
40.4%CT opening success
0.24Enemies flashed / flash
2.7%Flash assists
4.74HE damage / grenade
1.81Flashes / 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. 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 10.7836% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2423 — 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.

36% win rate across 11 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
inferno7–130.0413%1 Oct →
dust213–6-0.077%29 Sept →
ancient4–130.038%25 Sept →
cache13–3-0.0313%23 Sept →
mirage10–130.045%18 Sept →
anubis13–10.1513%16 Sept →
nuke13–7-0.0011%16 Sept →
mirage7–130.0312%15 Sept →
inferno13–40.079%14 Sept →
dust215–150.0213%14 Sept →
inferno9–6-0.1420%13 Sept →
mirage13–20.0911%13 Sept →
dust23–13-0.0513%12 Sept →
ancient3–130.018%12 Sept →
mirage13–11-0.055%9 Sept →
dust27–13-0.0219%9 Sept →
inferno12–16-0.017%7 Sept →
mirage13–3-0.1011%7 Sept →
inferno9–13-0.039%6 Sept →
mirage9–130.078%4 Sept →
inferno6–130.1014%4 Sept →
mirage13–80.087%4 Sept →
dust213–9-0.0114%4 Sept →
mirage6–13-0.0815%3 Sept →
ancient13–6-0.0315%3 Sept →
dust216–14-0.0317%1 Sept →
nuke5–13-0.0515%31 Aug →
mirage13–100.0416%29 Aug →
inferno10–13-0.065%29 Aug →
anubis13–110.033%29 Aug →
cache10–130.0011%27 Aug →
anubis7–13-0.034%27 Aug →
dust24–130.0815%26 Aug →
anubis11–13-0.0311%24 Aug →
nuke13–100.029%24 Aug →
mirage13–80.059%23 Aug →
nuke13–2-0.019%22 Aug →
inferno7–9-0.1311%22 Aug →
nuke13–20.1228%10 Aug →
anubis5–13-0.075%9 Aug →
nuke7–13-0.0414%9 Aug →
cache13–50.0620%8 Aug →
nuke4–13-0.0216%8 Aug →
ancient16–12-0.046%8 Aug →
mirage13–70.009%6 Aug →
ancient9–130.019%6 Aug →
ancient6–13-0.0611%5 Aug →
mirage4–13-0.0727%4 Aug →
anubis16–13-0.056%4 Aug →
mirage6–13-0.090%4 Aug →
inferno8–13-0.0116%3 Aug →
mirage13–90.0611%3 Aug →
ancient7–13-0.047%3 Aug →
nuke15–15-0.019%2 Aug →
mirage13–110.0218%2 Aug →
dust213–50.0113%1 Aug →
vertigo2–13-0.0324%1 Aug →
inferno13–4-0.0413%1 Aug →
vertigo12–12-0.0318%29 Jul →
inferno4–130.0215%28 Jul →
inferno13–8-0.0412%28 Jul →
train13–30.0141%27 Jul →
dust211–13-0.0319%27 Jul →
vertigo12–12-0.0816%26 Jul →
mirage13–10-0.0510%25 Jul →
mirage0–13-0.0714%24 Jul →
ancient4–130.0311%23 Jul →
inferno13–10-0.0223%23 Jul →
ancient5–13-0.0010%22 Jul →
anubis13–70.0213%22 Jul →
ancient13–4-0.014%19 Jul →
inferno13–100.0916%17 Jul →
mirage10–13-0.0214%17 Jul →
ancient13–70.0512%17 Jul →
nuke9–20.1424%16 Jul →
anubis12–12-0.0411%14 Jul →
dust211–13-0.0412%14 Jul →
inferno2–130.025%14 Jul →
mirage10–130.017%14 Jul →
inferno13–100.0511%13 Jul →
nuke8–130.0314%13 Jul →
ancient13–40.015%13 Jul →
mirage13–80.0511%12 Jul →
shelter12–12-0.009%12 Jul →
mirage16–12-0.039%9 Jul →
cache7–13-0.079%7 Jul →
cache10–13-0.056%6 Jul →
mirage6–130.038%6 Jul →
mirage16–130.0313%5 Jul →
ancient11–130.0214%5 Jul →
anubis13–11-0.018%5 Jul →
dust215–15-0.0211%3 Jul →
inferno12–60.016%3 Jul →
mirage11–130.0513%2 Jul →
inferno13–50.0614%30 Jun →
nuke13–70.0314%29 Jun →
mirage13–4-0.0215%29 Jun →
inferno9–13-0.037%29 Jun →
mirage13–11-0.066%29 Jun →
mirage13–8-0.0017%28 Jun →

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 →

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