DDin47

DDin47 — CS2 Stats

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

592Tracked matches62%Win rate2024Tracked since
1,700Hours in CS26Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating3,563Grey band · top ~84.9% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (5 days ago). 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: 3,563 -1,321 17 Jul – 27 Oct · 46 days played
1,7386,704peak 6,70417 Jul27 Oct
7,074Peak Premier in tracked matches
60Days played since 2026-07-13

Premier CS Rating

  • 3,141 below peak (6,704)
  • +1,825 over 30 days · improving
  • -2,720 over 90 days
  • Next: Light Blue band at 5,000 — 1,437 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.

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 rate34.6%38.2%39.9%5.3% short
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.730.830.920.18 short
Match win rate42.9%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.GGDDin47PREMIER3,563 · Grey bandcsdb.gg/stats

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Performance scores

Aim48
Positioning52
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLWWLWWWWL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −0.4pp headshot accuracy · −52ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 567ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 623ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 649ms

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 (+1.9 against its own average).

Aim4.8
Utility2.6
Positioning5.2
Opening Duels3.4
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

s1mple

Plays most like s1mple 80% 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. 672ms 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

Aim4.8
Positioning5.2
Utility2.6
Mechanics6.2
Opening Duels2.5
Win Impact9.0

Composite 4.5/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time669ms+33ms
first ⅓ avg 636ms → last ⅓ avg 669ms
Headshot accuracy12.5%−1.1%
first ⅓ avg 13.6% → last ⅓ avg 12.5%

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 · mirage, 27 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 59% over 27ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2716–1159%0.01
infernoC218–1338%-0.02
nukeA127–558%0.02
anubisA116–555%0.01
dust2B115–645%-0.01
ancientC114–736%-0.00
cache—32–167%0.01
vertigo—30–30%-0.05
train—11–0100%0.01

Across the last 100 tracked matches.

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

Lifetime stats

34,953Lifetime kills
0.73K/D
2,611Matches
42.9%Match win rate · Top 50% of Grey band
34.6%Headshot %
0.0%Shot accuracy
4,103MVPs
1,033Hours (in match)
1,292Bombs planted
407Bombs defused

Most-used weapons

AK-4710,701
AWP3,207
MAC-102,246
MP91,794
AUG1,111
MP7831

Lifetime map wins

5,448dust2
4,058inferno
1,845nuke
636vertigo
454train
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

40Matches
58%Win rate
0.97Avg K/D
66.6ADR
36%Headshot %

Clutches & streaks

30%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%0.8611.1
Dust2838%0.8413.5
Inferno667%1.3216.8
Ancient667%1.1512.5
Anubis650%0.736.2
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.

10.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.8%Spray accuracy
78.0%Counter-strafing
12.0°Preaim
672msReaction time
41.7%T opening success
38.5%CT opening success
0.32Enemies flashed / flash
0.0%Flash assists
6.69HE damage / grenade
1.04Flashes / 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

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

    Preaim 12.022° — 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 10.6983% — 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 0.321 — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–9-0.0817%29 Oct →
inferno3–9-0.1627%28 Oct →
mirage13–10.077%27 Oct →
inferno9–5-0.030%25 Oct →
inferno6–9-0.0721%24 Oct →
mirage13–30.036%23 Oct →
anubis13–10.0716%21 Oct →
mirage13–30.0411%20 Oct →
mirage13–60.0410%14 Oct →
mirage1–8-0.0217%14 Oct →
anubis10–130.0413%9 Oct →
mirage13–80.028%7 Oct →
mirage13–50.1514%7 Oct →
inferno4–9-0.0731%5 Oct →
dust213–9-0.009%4 Oct →
nuke13–60.0911%3 Oct →
anubis13–3-0.0012%3 Oct →
mirage10–130.0616%2 Oct →
nuke13–11-0.069%2 Oct →
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 →

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.