Ashes

Ashes — CS2 Stats

DK76561198004347754[U:1:44082026]Steam profile ↗✓ No bans

315Tracked matches45%Win rate2020Tracked since
1,511Hours in CS
CSDB Rating4.7 DevelopingAll-Rounder
Premier CS Rating11,640Blue band · top ~46.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Nov 2024 (705 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: 11,640 -2,682 15 Dec – 21 Nov · 17 days played
11,64014,933peak 14,93315 Dec21 Nov
15,625Peak Premier in tracked matches
29Days played since 2023-06-22

Premier CS Rating

  • 3,293 below peak (14,933)
  • Next: Purple band at 15,000 — 3,360 to go
  • Reached: Blue band · Light Blue band

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

No matches recorded between 25 Sep 2026 and 27 Oct 2026.

Measured 25 Sep 2026 → 27 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 Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate36.0%41.8%42.7%6.7% short
Shot accuracy24.7%12.2%11.2%above
Kill/death ratio1.120.980.99above
Match win rate33.1%43.3%43.9%10.8% short

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

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAshesFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,640 · Blue 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

Aim47
Positioning52
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWLWWTWLWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −3.2pp headshot accuracy · +27ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 653ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 672ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 659ms

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.

Aim4.7
Utility4.9
Positioning5.2
Opening Duels4.9

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 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 641ms 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

Aim4.7
Positioning5.2
Utility4.9
Mechanics7.0
Opening Duels3.8
Win Impact3.3

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time636ms+37ms
first ⅓ avg 599ms → last ⅓ avg 636ms
Headshot accuracy15.6%+6.3%
first ⅓ avg 9.3% → last ⅓ avg 15.6%

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 · 13–6 · nuke, 21 Nov →
50%Best headshot accuracy · 0–13 · nuke, 23 Apr →
352msFastest reaction time · 10–13 · inferno, 6 May →
16–3Biggest win · nuke, 24 Jun →

Across the last 100 tracked matches.

Highlights

3Longest win streak
8–7In matches decided by ≤2 rounds
34Overtime games

Map breakdown

nukeBest map · 70% over 20infernoWeakest map · 25% over 24
MapGradePlayedRecordWin rateAvg rating
infernoD246–1825%-0.02
vertigoC228–1436%-0.02
nukeS2014–670%-0.00
anubisB137–654%-0.04
overpassA117–464%-0.02
dust2—41–325%-0.03
ancient—41–325%-0.01
train—11–0100%0.03
mirage—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,556Lifetime kills
1.12K/D · Top 25% of Level 3 players
4,487Matches
33.1%Match win rate
36.0%Headshot %
24.7%Shot accuracy · Top 1% of Level 3 players
7,960MVPs
1,511Hours (in match)
2,198Bombs planted
550Bombs defused

Most-used weapons

AWP15,615
AK-4713,796
P903,773
XM10143,720
Tec-93,007
P2502,552

Lifetime map wins

6,359dust2
4,009inferno
3,002nuke
2,756vertigo
661cbble
568train
271lake
114office

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

Faceit stats

Combat

169Matches
49%Win rate
1.13Avg K/D
—ADR
31%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke30%0.7813.0
Anubis10%0.6712.0
Vertigo10%0.507.0
Inferno1100%1.5015.0

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.

14.7%Headshot accuracy
35.4%Accuracy (enemy spotted)
32.9%Spray accuracy
81.4%Counter-strafing
13.7°Preaim
641msReaction time
38.1%T opening success
52.5%CT opening success
0.55Enemies flashed / flash
5.8%Flash assists
9.16HE damage / grenade
2.19Flashes / 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 13.6889° — 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 14.683% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.1881 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

25% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–5-0.029%26 Apr →
dust29–130.0415%26 Apr →
nuke13–60.1113%21 Nov →
anubis13–100.0118%21 Nov →
inferno12–120.0515%21 Nov →
train13–110.0317%21 Nov →
dust29–13-0.0116%26 Sept →
nuke13–10-0.096%18 Jul →
nuke13–80.056%18 Jul →
vertigo5–13-0.1111%13 Jun →
anubis13–7-0.0211%13 Jun →
vertigo13–70.028%13 Jun →
nuke7–13-0.0020%13 Jun →
inferno7–9-0.0616%13 Jun →
vertigo5–13-0.068%5 Jun →
ancient2–13-0.0531%5 Jun →
anubis7–13-0.0329%17 May →
nuke13–10-0.0316%17 May →
ancient13–60.1114%17 May →
inferno10–13-0.076%17 May →
dust210–13-0.1218%17 May →
nuke13–10-0.0413%6 May →
inferno10–130.0113%6 May →
inferno9–70.0127%6 May →
vertigo3–13-0.1116%23 Apr →
nuke0–13-0.1050%23 Apr →
anubis13–8-0.0816%18 Apr →
nuke9–130.0117%18 Apr →
inferno7–13-0.0119%18 Apr →
vertigo13–70.0613%14 Mar →
nuke6–13-0.0412%14 Mar →
inferno1–13-0.120%14 Mar →
vertigo6–130.0020%14 Mar →
vertigo8–13-0.0010%22 Feb →
anubis8–13-0.0910%22 Feb →
inferno8–13-0.0116%22 Feb →
anubis13–10-0.0518%18 Feb →
anubis16–14-0.0113%18 Feb →
overpass13–10-0.057%18 Feb →
anubis9–13-0.046%15 Feb →
inferno5–13-0.0715%15 Feb →
nuke13–70.0616%15 Feb →
overpass13–50.0313%15 Feb →
anubis15–15-0.057%11 Feb →
nuke13–70.0113%11 Feb →
overpass7–13-0.0211%11 Feb →
inferno13–10-0.0110%11 Feb →
inferno10–13-0.0610%25 Jan →
vertigo16–13-0.0213%25 Jan →
nuke16–13-0.0215%25 Jan →
overpass13–10-0.0620%21 Dec →
inferno6–13-0.0717%21 Dec →
vertigo7–13-0.0111%21 Dec →
anubis8–13-0.076%21 Dec →
nuke13–110.0418%21 Dec →
ancient11–13-0.0514%20 Dec →
vertigo6–13-0.033%20 Dec →
vertigo7–13-0.069%15 Dec →
vertigo11–130.038%15 Dec →
vertigo10–13-0.0218%15 Dec →
overpass8–13-0.076%15 Dec →
anubis11–130.006%15 Dec →
inferno7–130.0024%15 Dec →
vertigo13–7-0.0616%15 Dec →
inferno13–9-0.020%15 Dec →
overpass9–50.020%15 Dec →
nuke3–9-0.1113%15 Dec →
anubis13–8-0.057%15 Dec →
nuke13–80.067%15 Dec →
inferno5–16-0.0218%31 Aug →
vertigo16–14-0.0311%31 Aug →
overpass22–18-0.0415%31 Aug →
inferno16–14-0.049%20 Aug →
vertigo6–16-0.056%20 Aug →
inferno14–160.048%20 Aug →
vertigo22–180.0120%10 Aug →
vertigo11–16-0.0412%10 Aug →
overpass16–6-0.0511%10 Aug →
vertigo4–160.024%16 Jul →
anubis16–10-0.029%16 Jul →
mirage10–16-0.067%16 Jul →
inferno3–160.0112%16 Jul →
overpass16–6-0.0113%16 Jul →
inferno17–19-0.019%9 Jul →
nuke16–110.0212%9 Jul →
ancient6–16-0.064%9 Jul →
overpass23–25-0.0011%9 Jul →
nuke21–25-0.0115%29 Jun →
nuke16–14-0.015%29 Jun →
inferno16–12-0.013%29 Jun →
overpass5–160.042%26 Jun →
inferno7–16-0.0115%26 Jun →
inferno9–20.0418%26 Jun →
vertigo25–230.015%25 Jun →
inferno9–16-0.040%25 Jun →
nuke16–60.048%25 Jun →
nuke16–30.065%24 Jun →
vertigo10–16-0.004%24 Jun →
inferno11–16-0.0610%24 Jun →
vertigo16–11-0.0211%22 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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