Deavided185 — CS2 Stats

NE76561198114381011[U:1:154115283]Steam profile ↗

1,878Tracked matches45%Win rate2020Tracked since

5,309Hours in CS68Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating26,497Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1734 of 24966 tracked

FaceitLevel 10 · 2,500 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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.

Metric	This player	Level 10 median
Headshot rate	51.9%	52.0%
Shot accuracy	12.3%	13.7%
Kill/death ratio	1.34	1.08
Match win rate	49.8%	48.8%

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Performance scores

Aim83

Positioning61

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWWLLWLLWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.3

Aggression6.5

Utility4.4

Positioning6.1

Opening Duels2.9

Clutch3.6

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 91% 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

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 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3

Positioning6.1

Utility4.4

Mechanics8.1

Opening Duels2.9

Win Impact3.3

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time543ms−31ms

first ⅓ avg 573ms → last ⅓ avg 543ms

Headshot accuracy24.4%−8.9%

first ⅓ avg 33.3% → last ⅓ avg 24.4%

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

0.13Best rating — cache 13–5

13–1Biggest win — mirage

5Longest win streak

W2Current streak

12–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	21	10–11	48%	-0.01
cache	A	20	11–9	55%	0.01
mirage	B	20	9–11	45%	0.00
anubis	A	13	8–5	62%	-0.00
inferno	B	13	7–6	54%	0.00
ancient	D	6	2–4	33%	0.00
nuke	—	4	2–2	50%	0.00
train	—	2	1–1	50%	0.02
vertigo	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

166,091Lifetime kills

1.34K/D · Top 25% of Level 10 players

6,629Matches

49.8%Match win rate · Top 50% of Level 10 players

51.9%Headshot %

12.3%Shot accuracy

21,866MVPs

2,985Hours (in match)

6,176Bombs planted

2,153Bombs defused

Most-used weapons

AK-4759,466

AWP27,119

M4A4 / M4A1-S23,799

Desert Eagle13,243

P2000 / USP-S11,005

Glock-185,366

SSG 083,148

FAMAS2,817

MAC-102,539

P2502,312

Lifetime map wins

11,262dust2

10,060inferno

1,804train

885nuke

831cbble

372vertigo

145office

93lake

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

Faceit stats

Combat

726Matches

56%Win rate

1.28Avg K/D

79.7ADR

53%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	134	50%	1.17	15.0
Inferno	93	59%	1.12	15.8
Dust2	70	64%	1.21	16.7
Ancient	66	50%	1.03	14.8
Anubis	60	55%	1.08	15.3
Cache	25	52%	1.29	17.4
Train	22	68%	1.25	17.9
Nuke	22	45%	0.99	17.6

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.

24.1%Headshot accuracy

33.0%Accuracy (enemy spotted)

34.7%Spray accuracy

86.4%Counter-strafing

8.5°Preaim

543msReaction time

31.7%T opening success

51.5%CT opening success

0.48Enemies flashed / flash

8.1%Flash assists

6.75HE damage / grenade

4.41Flashes / 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 0.4804 — 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 31.7054% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	16–13	0.01	24%	28 Aug →
cache	13–3	0.03	24%	28 Aug →
ancient	3–13	-0.02	30%	28 Aug →
anubis	10–13	0.01	18%	27 Aug →
mirage	13–10	-0.01	17%	27 Aug →
cache	11–13	0.02	24%	27 Aug →
nuke	10–13	-0.03	27%	27 Aug →
anubis	13–9	0.02	27%	26 Aug →
dust2	13–11	-0.03	16%	26 Aug →
dust2	13–5	0.06	36%	26 Aug →
anubis	5–13	-0.01	13%	26 Aug →
dust2	13–10	0.02	24%	26 Aug →
dust2	3–13	-0.05	28%	26 Aug →
inferno	13–9	-0.05	22%	25 Aug →
cache	7–13	0.05	31%	25 Aug →
cache	16–12	0.02	26%	25 Aug →
dust2	9–13	-0.05	29%	25 Aug →
dust2	6–13	-0.03	27%	25 Aug →
mirage	1–13	-0.09	35%	24 Aug →
inferno	13–7	0.05	24%	24 Aug →
cache	8–13	-0.03	6%	23 Aug →
cache	12–16	-0.05	14%	23 Aug →
anubis	13–7	-0.03	16%	23 Aug →
ancient	9–13	-0.04	27%	23 Aug →
train	11–13	-0.02	33%	23 Aug →
cache	12–12	-0.03	32%	23 Aug →
ancient	13–9	0.07	23%	23 Aug →
mirage	8–13	-0.04	13%	23 Aug →
ancient	13–6	0.03	28%	22 Aug →
ancient	5–13	0.00	41%	22 Aug →
dust2	16–14	-0.02	26%	22 Aug →
inferno	6–13	-0.02	23%	21 Aug →
anubis	3–13	0.00	21%	21 Aug →
dust2	7–13	-0.01	29%	21 Aug →
dust2	11–13	-0.05	14%	20 Aug →
mirage	7–13	-0.02	24%	20 Aug →
mirage	13–16	-0.07	12%	20 Aug →
anubis	13–11	-0.06	15%	20 Aug →
inferno	20–22	0.03	22%	19 Aug →
mirage	7–13	-0.07	21%	18 Aug →
cache	13–7	0.07	35%	18 Aug →
anubis	13–5	0.01	31%	15 Aug →
nuke	4–13	-0.06	17%	15 Aug →
cache	13–11	0.04	20%	15 Aug →
inferno	13–6	-0.00	21%	15 Aug →
anubis	14–16	0.04	23%	15 Aug →
dust2	5–13	0.05	24%	15 Aug →
mirage	13–6	0.08	37%	15 Aug →
mirage	7–13	-0.05	19%	15 Aug →
anubis	13–10	0.01	20%	15 Aug →
anubis	13–8	0.00	16%	14 Aug →
dust2	16–14	0.05	32%	14 Aug →
dust2	5–13	0.01	24%	14 Aug →
inferno	13–3	0.04	23%	14 Aug →
inferno	5–13	-0.05	25%	14 Aug →
dust2	9–13	-0.08	22%	14 Aug →
mirage	13–1	0.04	24%	14 Aug →
cache	13–11	0.00	22%	14 Aug →
anubis	13–6	-0.04	27%	13 Aug →
mirage	7–13	-0.02	11%	13 Aug →
inferno	13–11	0.01	18%	13 Aug →
dust2	13–11	0.03	26%	10 Aug →
mirage	13–5	0.01	17%	10 Aug →
mirage	13–6	0.02	25%	10 Aug →
dust2	13–10	0.03	36%	10 Aug →
mirage	11–13	-0.02	13%	10 Aug →
mirage	6–13	0.01	23%	10 Aug →
cache	13–5	0.13	42%	10 Aug →
mirage	13–9	0.07	19%	9 Aug →
cache	13–11	-0.01	13%	9 Aug →
inferno	14–16	-0.02	22%	9 Aug →
inferno	13–10	0.08	34%	9 Aug →
cache	4–13	-0.02	46%	9 Aug →
train	13–11	0.06	27%	9 Aug →
nuke	22–20	0.10	24%	7 Aug →
cache	11–13	0.04	24%	7 Aug →
mirage	13–10	0.09	32%	7 Aug →
anubis	13–9	0.02	33%	7 Aug →
cache	10–13	-0.05	10%	7 Aug →
ancient	6–13	-0.04	37%	7 Aug →
inferno	11–13	0.03	34%	7 Aug →
dust2	4–13	-0.11	50%	6 Aug →
inferno	10–13	-0.02	23%	6 Aug →
mirage	13–2	0.06	17%	6 Aug →
vertigo	6–0	0.03	100%	6 Aug →
dust2	9–13	0.01	32%	6 Aug →
cache	13–4	0.06	29%	6 Aug →
anubis	12–12	-0.03	26%	5 Aug →
cache	9–13	0.05	33%	5 Aug →
mirage	13–10	0.02	40%	5 Aug →
dust2	8–13	0.00	45%	5 Aug →
dust2	13–11	-0.01	33%	4 Aug →
mirage	2–13	0.01	46%	4 Aug →
cache	13–6	0.01	33%	30 Jul →
inferno	13–10	-0.04	24%	30 Jul →
mirage	11–13	0.06	35%	29 Jul →
dust2	13–7	0.01	26%	29 Jul →
dust2	13–10	-0.01	35%	26 Jul →
cache	13–6	-0.03	35%	26 Jul →
cache	13–3	-0.07	38%	26 Jul →