deadrose — CS2 Stats

US76561198202037516[U:1:241771788]Steam profile ↗✓ No bans

839Tracked matches69%Win rate2025Tracked since

1,227Hours in CS19Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating10,244Blue band · top ~53.6% of ranked players (population est.)

CSDB Leaderboard#3845 of 5240 tracked

FaceitLevel 2 · 642 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning54

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateTLLWTWWLWW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression7.0

Utility3.9

Positioning5.4

Opening Duels2.4

Clutch1.0

Strong CT-side openerLimited 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.

Your pro match

Plays most like ropz 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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

T-side openings. Opening success drops from 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim8.1

Positioning5.4

Utility3.9

Mechanics6.7

Opening Duels2.5

Win Impact10.0

Composite 6.0/10 (Solid), 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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time580ms−67ms

first ⅓ avg 647ms → last ⅓ avg 580ms

Headshot accuracy20.2%+1.2%

first ⅓ avg 19.1% → last ⅓ avg 20.2%

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

0.30Best rating — inferno 9–0

13–1Biggest win — anubis

5Longest win streak

6–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 78% over 9dust2Weakest map · 40% over 30

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	12–18	40%	0.04
mirage	A	27	15–12	56%	0.02
inferno	A	11	7–4	64%	0.03
cache	C	10	4–6	40%	0.02
anubis	S	9	7–2	78%	0.06
nuke	A	9	5–4	56%	0.02
ancient	—	4	3–1	75%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,544Lifetime kills

1.01K/D

2,162Matches

34.6%Match win rate

41.2%Headshot %

3.5%Shot accuracy

4,268MVPs

664Hours (in match)

2,112Bombs planted

532Bombs defused

Most-used weapons

AK-479,106

M4A4 / M4A1-S7,287

AWP4,967

Galil AR2,882

P2000 / USP-S1,935

Glock-181,776

MP71,051

FAMAS887

MP9770

MAC-10509

Lifetime map wins

4,792dust2

1,881inferno

960nuke

146vertigo

52train

26office

19ar_shoots

19ar_baggage

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

Faceit stats

Combat

19Matches

11%Win rate

0.64Avg K/D

54.9ADR

35%Headshot %

Clutches & streaks

25%1v1 clutch win

20%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	8	12%	0.62	10.1
Mirage	5	0%	0.64	11.2
Inferno	3	33%	0.98	14.0
Ancient	2	0%	0.36	5.0
Train	1	0%	0.24	4.0

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.

20.2%Headshot accuracy

39.9%Accuracy (enemy spotted)

40.7%Spray accuracy

80.0%Counter-strafing

10.2°Preaim

572msReaction time

28.9%T opening success

50.3%CT opening success

0.45Enemies flashed / flash

3.2%Flash assists

9.56HE damage / grenade

2.87Flashes / 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.

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 0.446 — below the 0.5 mark we flag
Grenade Lineups →
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 28.944% — below the 40% mark we flag

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.

40% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	12–12	0.02	16%	28 Aug →
dust2	9–13	-0.04	17%	22 Aug →
mirage	11–13	-0.05	12%	21 Aug →
cache	13–10	0.06	23%	21 Aug →
dust2	12–12	0.04	34%	20 Aug →
cache	13–6	0.09	23%	20 Aug →
mirage	13–5	-0.02	20%	20 Aug →
anubis	9–13	0.10	22%	19 Aug →
dust2	13–6	0.06	16%	18 Aug →
dust2	13–9	0.11	20%	18 Aug →
mirage	11–13	0.00	15%	17 Aug →
nuke	13–4	0.13	10%	16 Aug →
dust2	12–12	0.05	26%	16 Aug →
nuke	10–13	-0.04	8%	14 Aug →
dust2	13–3	0.05	33%	14 Aug →
dust2	13–6	0.05	18%	13 Aug →
mirage	13–2	0.01	28%	13 Aug →
inferno	16–13	0.06	13%	13 Aug →
ancient	13–2	0.00	45%	13 Aug →
mirage	13–16	-0.01	16%	12 Aug →
cache	15–15	0.05	20%	12 Aug →
nuke	13–6	0.01	23%	11 Aug →
anubis	13–9	0.07	21%	11 Aug →
dust2	11–13	0.03	29%	11 Aug →
nuke	13–10	-0.01	19%	11 Aug →
anubis	13–1	0.10	15%	10 Aug →
dust2	10–13	0.01	22%	10 Aug →
dust2	13–3	0.16	23%	9 Aug →
mirage	13–8	0.06	17%	9 Aug →
dust2	8–0	0.01	8%	9 Aug →
mirage	13–4	0.07	17%	9 Aug →
dust2	8–13	0.05	20%	9 Aug →
mirage	9–6	0.07	20%	9 Aug →
mirage	9–13	0.11	24%	7 Aug →
dust2	4–13	0.03	28%	7 Aug →
dust2	13–16	0.06	17%	6 Aug →
inferno	7–13	0.00	18%	6 Aug →
cache	10–13	-0.00	17%	5 Aug →
dust2	13–5	0.14	17%	4 Aug →
dust2	13–4	0.22	23%	4 Aug →
mirage	5–13	-0.05	12%	3 Aug →
mirage	13–5	0.13	34%	3 Aug →
cache	10–13	0.05	13%	1 Aug →
inferno	9–13	-0.08	21%	1 Aug →
anubis	13–8	0.01	19%	31 Jul →
dust2	11–13	0.02	13%	30 Jul →
inferno	13–5	0.00	27%	30 Jul →
mirage	15–15	0.03	11%	29 Jul →
cache	13–11	-0.00	16%	28 Jul →
dust2	7–13	-0.03	19%	28 Jul →
dust2	2–13	0.00	20%	28 Jul →
mirage	10–13	0.03	16%	27 Jul →
dust2	13–6	0.00	24%	27 Jul →
mirage	6–13	0.00	30%	26 Jul →
mirage	13–8	-0.03	21%	26 Jul →
inferno	9–0	0.30	23%	26 Jul →
dust2	13–5	0.02	36%	25 Jul →
ancient	8–13	-0.05	18%	25 Jul →
dust2	13–5	0.16	24%	24 Jul →
nuke	15–15	0.01	18%	24 Jul →
dust2	9–13	-0.01	10%	24 Jul →
mirage	13–6	0.01	14%	24 Jul →
mirage	5–13	-0.07	12%	24 Jul →
ancient	13–4	0.00	12%	24 Jul →
ancient	13–9	0.01	27%	23 Jul →
inferno	7–13	-0.01	19%	23 Jul →
anubis	13–6	0.00	20%	23 Jul →
mirage	8–13	-0.01	18%	22 Jul →
mirage	16–14	0.02	11%	22 Jul →
dust2	9–13	0.05	26%	21 Jul →
mirage	13–5	-0.03	23%	21 Jul →
dust2	6–13	0.03	11%	21 Jul →
inferno	13–11	0.00	14%	21 Jul →
mirage	13–4	-0.00	14%	21 Jul →
cache	13–7	0.03	9%	20 Jul →
anubis	13–5	0.01	14%	20 Jul →
dust2	13–11	0.05	29%	20 Jul →
inferno	14–16	0.03	24%	20 Jul →
mirage	13–9	0.05	25%	19 Jul →
dust2	13–16	-0.01	20%	19 Jul →
anubis	4–13	-0.01	13%	19 Jul →
anubis	13–7	0.05	17%	19 Jul →
nuke	13–8	0.08	22%	19 Jul →
nuke	10–13	0.00	12%	19 Jul →
dust2	10–13	-0.02	28%	18 Jul →
inferno	13–11	0.05	16%	18 Jul →
nuke	13–5	-0.06	21%	18 Jul →
mirage	8–13	-0.03	13%	18 Jul →
inferno	13–9	-0.01	25%	18 Jul →
dust2	0–13	0.02	8%	18 Jul →
mirage	13–11	0.03	20%	18 Jul →
mirage	13–7	0.04	25%	18 Jul →
dust2	11–13	0.01	29%	16 Jul →
cache	8–13	-0.08	23%	15 Jul →
anubis	13–4	0.17	21%	15 Jul →
nuke	7–13	0.03	20%	15 Jul →
cache	11–13	0.00	17%	14 Jul →
cache	12–16	0.04	18%	13 Jul →
mirage	13–5	0.04	22%	13 Jul →
inferno	13–2	0.03	25%	13 Jul →