Deadcoal

Deadcoal — CS2 Stats

SE76561198186051547[U:1:225785819]Steam profile ↗✓ No bans

232Tracked matches64%Win rate2021Tracked since
2,855Hours in CS0Hrs last 2 wks
CSDB Rating5.5 SolidHybrid Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate36.1%44.2%44.9%8.8% short
Shot accuracy18.3%11.2%11.8%above
Kill/death ratio0.941.041.040.10 short
Match win rate33.8%45.3%45.3%11.5% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDeadcoalFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning47
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY54397Last 10054%Win rateLLLWTWWWLW

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression6.3
Utility3.1
Positioning4.7
Opening Duels1.5
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 642ms 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

Aim6.3
Positioning4.7
Utility3.1
Mechanics7.2
Opening Duels1.5
Win Impact9.8

Composite 5.5/10 (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-0.04−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time629ms+13ms
first ⅓ avg 617ms → last ⅓ avg 629ms
Headshot accuracy19.0%−1.6%
first ⅓ avg 20.5% → last ⅓ avg 19.0%

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.

Highlights

0.20Best rating — inferno 9–3
131Biggest win — train
6Longest win streak
L3Current streak
44In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 76% over 17ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB21111052%-0.02
mirageA1810856%-0.02
anubisS1713476%-0.03
vertigoB115645%-0.06
nukeA106460%-0.03
ancientD103730%-0.03
dust2B63350%-0.05
train32167%0.04
cache21150%-0.01
palais1010%-0.13
mills1010%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,800Lifetime kills
0.94K/D
5,382Matches
33.8%Match win rate
36.1%Headshot %
18.3%Shot accuracy · Top 10% of Level 5 players
10,117MVPs
1,819Hours (in match)
2,834Bombs planted
1,020Bombs defused

Most-used weapons

AK-4727,266
AWP19,868
MAC-102,473
P2502,131
SSG 081,988
P901,963

Lifetime map wins

7,914inferno
6,336dust2
1,591vertigo
906cbble
534train
451nuke
178lake
143safehouse

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

Faceit stats

Combat

19Matches
53%Win rate
1.00Avg K/D
68.0ADR
47%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.6110.6
Vertigo3100%0.9113.3
Anubis367%1.0712.3
Inferno250%0.6612.5
Dust220%0.549.5
Ancient2100%2.9112.0
Nuke10%0.7311.0
Train1100%1.0014.0

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.

19.8%Headshot accuracy
31.3%Accuracy (enemy spotted)
37.6%Spray accuracy
82.4%Counter-strafing
10.2°Preaim
642msReaction time
35.5%T opening success
36.3%CT opening success
0.56Enemies flashed / flash
4.8%Flash assists
11.32HE damage / grenade
7.55Flashes / 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 35.5497% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0116%12 Aug
cache5–13-0.0319%10 Aug
mirage8–13-0.1219%10 Aug
cache13–9-0.0025%10 Aug
nuke15–15-0.0028%8 Aug
anubis13–70.0130%8 Aug
inferno13–90.0028%8 Aug
anubis13–9-0.0113%25 Apr
nuke9–13-0.059%23 Apr
anubis13–9-0.0013%23 Apr
ancient3–13-0.0843%22 Apr
inferno6–13-0.0518%21 Apr
inferno13–8-0.066%20 Apr
mirage13–9-0.077%20 Apr
nuke10–8-0.0914%20 Apr
mirage9–13-0.0819%19 Apr
anubis13–11-0.0524%19 Apr
inferno13–50.0129%19 Apr
dust213–8-0.0112%19 Apr
nuke13–4-0.087%18 Apr
mirage13–10-0.0118%18 Apr
inferno13–80.0119%18 Apr
ancient7–13-0.0628%18 Apr
dust213–5-0.0223%18 Apr
nuke13–8-0.0126%17 Apr
mirage13–30.0122%17 Apr
ancient13–5-0.0320%17 Apr
inferno12–12-0.0313%11 Apr
mirage0–2-0.060%11 Apr
ancient9–13-0.0329%11 Apr
palais6–9-0.1313%10 Apr
inferno0–9-0.1317%10 Apr
vertigo9–60.0817%10 Apr
nuke5–9-0.0118%10 Apr
dust23–13-0.0627%8 Apr
mirage8–13-0.0710%8 Apr
mirage13–11-0.0433%8 Apr
mirage13–30.0324%5 Apr
nuke6–130.0115%4 Apr
train13–10.065%4 Apr
inferno13–2-0.006%4 Apr
inferno7–9-0.0221%2 Apr
mirage8–13-0.0417%3 Mar
dust20–13-0.0719%22 Feb
mirage16–12-0.0115%22 Feb
inferno2–13-0.030%22 Feb
mirage13–70.0313%21 Feb
train6–130.0218%21 Feb
anubis8–13-0.0510%6 Feb
train13–60.0517%6 Feb
ancient14–16-0.0815%4 Feb
mirage13–70.0210%4 Feb
anubis13–7-0.0411%29 Jan
anubis13–50.0318%1 Jan
mirage15–15-0.055%22 Oct
mirage8–13-0.0512%20 Aug
anubis13–16-0.0718%14 Aug
anubis16–12-0.0412%12 Jul
vertigo13–7-0.019%12 Jul
vertigo9–13-0.0421%5 Jul
anubis13–40.0322%5 Jul
vertigo13–70.0018%29 Jun
mills8–13-0.0328%28 Jun
vertigo2–9-0.1430%20 Jun
inferno10–13-0.0223%20 Jun
vertigo3–9-0.1112%14 Jun
inferno16–13-0.0416%6 Jun
inferno3–13-0.1022%18 May
dust28–13-0.0614%18 May
anubis13–5-0.010%10 May
dust213–8-0.060%10 May
inferno4–13-0.0420%10 May
vertigo0–7-0.15100%8 May
inferno9–30.2053%8 May
vertigo5–9-0.0230%8 May
inferno9–4-0.0814%28 Mar
ancient13–10-0.0318%5 Mar
vertigo13–10-0.0020%5 Mar
ancient11–00.1133%1 Mar
anubis9–13-0.0811%23 Feb
inferno13–10.0415%18 Feb
vertigo3–9-0.2325%18 Feb
inferno13–30.0915%16 Feb
mirage13–30.0719%16 Feb
anubis13–7-0.0412%12 Jan
anubis13–5-0.079%27 Sept
inferno12–12-0.0617%27 Sept
mirage13–80.0312%25 Sept
anubis13–9-0.0013%25 Sept
ancient15–15-0.0115%25 Sept
inferno13–90.0317%25 Sept
ancient15–150.0023%22 Sept
nuke13–8-0.0416%22 Sept
ancient4–13-0.0830%22 Sept
anubis13–50.0115%22 Sept
inferno15–15-0.0911%20 Sept
nuke13–8-0.0518%20 Sept
anubis11–13-0.069%15 Sept
nuke13–11-0.0130%15 Sept
vertigo13–10-0.0023%14 Sept

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 →