Depreved — CS2 Stats

76561198795475017[U:1:835209289]

1,190Tracked matches53%Win rate2020Tracked since

2,812Hours in CS20Hrs last 2 wks

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating12,515Blue band · top ~41.6% of ranked players (population est.)

CSDB Leaderboard#11772 of 16779 tracked

WingmanSilver Elite

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning59

Utility22

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateLWLWLWLLWW

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

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

Aim7.9

Aggression9.3

Utility2.2

Positioning5.9

Opening Duels4.7

Clutch0.2

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 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 61% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim7.9

Positioning5.9

Utility2.2

Mechanics6.3

Opening Duels4.7

Win Impact6.1

Composite 5.6/10 (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 rating0.01+0.03

first ⅓ avg -0.02 → last ⅓ avg 0.01

Reaction time606ms−25ms

first ⅓ avg 632ms → last ⅓ avg 606ms

Headshot accuracy24.3%+3.8%

first ⅓ avg 20.5% → last ⅓ avg 24.3%

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

0.12Best rating — mirage 13–4

13–2Biggest win — train

7Longest win streak

7–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 50% over 12anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	22	9–13	41%	-0.00
inferno	C	19	7–12	37%	-0.02
mirage	C	16	6–10	38%	-0.01
cache	D	12	4–8	33%	-0.01
nuke	B	12	6–6	50%	-0.01
anubis	D	7	1–6	14%	-0.01
train	—	3	1–2	33%	-0.03
office	—	3	3–0	100%	0.05
ancient	—	3	2–1	67%	0.00
overpass	—	2	1–1	50%	-0.01
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,341Lifetime kills

1.30K/D · Top 25% of tracked players

5,337Matches

38.2%Match win rate

54.9%Headshot % · Top 25% of tracked players

11.1%Shot accuracy

9,543MVPs

1,533Hours (in match)

2,819Bombs planted

1,823Bombs defused

Most-used weapons

AK-4734,451

AWP18,747

M4A4 / M4A1-S14,939

Desert Eagle14,326

P2000 / USP-S8,520

Glock-184,697

P2502,704

Galil AR2,443

SSG 082,011

SG 5531,753

Lifetime map wins

6,264dust2

3,066inferno

2,648nuke

1,659vertigo

861train

409office

185cbble

144lake

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

Faceit stats

Combat

93Matches

42%Win rate

0.91Avg K/D

69.7ADR

50%Headshot %

Clutches & streaks

21%1v1 clutch win

18%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	22	41%	0.92	14.5
Dust2	17	41%	0.76	11.9
Ancient	14	21%	1.46	13.6
Overpass	12	50%	1.00	15.1
Nuke	11	45%	0.62	11.3
Inferno	6	67%	1.04	14.8
Train	1	0%	0.89	16.0

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.

24.4%Headshot accuracy

32.2%Accuracy (enemy spotted)

34.7%Spray accuracy

78.2%Counter-strafing

6.7°Preaim

597msReaction time

35.8%T opening success

61.5%CT opening success

0.40Enemies flashed / flash

2.5%Flash assists

4.73HE damage / grenade

3.24Flashes / 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 0.4029 — 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 35.8083% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	7–13	-0.09	6%	27 Aug →
inferno	13–6	0.01	11%	27 Aug →
cache	3–13	-0.03	9%	27 Aug →
mirage	16–14	0.03	18%	24 Aug →
mirage	8–13	-0.06	14%	24 Aug →
dust2	13–9	-0.05	24%	24 Aug →
nuke	10–13	0.06	28%	24 Aug →
dust2	9–13	-0.01	26%	22 Aug →
office	13–11	0.06	20%	21 Aug →
vertigo	13–9	-0.02	22%	21 Aug →
dust2	14–16	-0.01	19%	21 Aug →
mirage	11–13	-0.03	18%	21 Aug →
cache	8–13	0.01	39%	21 Aug →
cache	16–14	0.06	34%	20 Aug →
inferno	13–9	0.07	28%	19 Aug →
dust2	13–10	0.07	22%	19 Aug →
dust2	13–6	0.08	31%	19 Aug →
dust2	13–6	0.11	24%	17 Aug →
dust2	16–13	-0.00	30%	14 Aug →
dust2	13–11	0.08	23%	12 Aug →
inferno	2–13	-0.02	32%	12 Aug →
dust2	11–13	0.03	17%	11 Aug →
cache	11–13	0.01	21%	11 Aug →
anubis	3–13	-0.09	36%	10 Aug →
mirage	13–4	0.08	41%	10 Aug →
cache	13–5	0.01	27%	10 Aug →
nuke	13–9	0.04	33%	8 Aug →
mirage	8–13	-0.02	24%	8 Aug →
anubis	11–13	0.03	31%	8 Aug →
inferno	13–6	0.04	27%	8 Aug →
mirage	4–13	-0.04	20%	8 Aug →
dust2	13–7	0.07	26%	8 Aug →
dust2	9–13	-0.04	21%	6 Aug →
nuke	14–16	-0.02	15%	4 Aug →
dust2	5–13	0.02	33%	4 Aug →
mirage	9–13	-0.02	13%	3 Aug →
dust2	8–13	-0.06	38%	3 Aug →
ancient	7–13	0.01	15%	3 Aug →
overpass	13–9	-0.03	25%	28 Jul →
cache	9–13	-0.08	25%	26 Jul →
office	13–11	-0.01	33%	23 Jul →
dust2	4–13	-0.03	27%	23 Jul →
mirage	12–12	-0.05	37%	23 Jul →
inferno	13–5	0.02	8%	23 Jul →
ancient	13–7	0.03	29%	21 Jul →
dust2	13–16	-0.06	24%	21 Jul →
nuke	13–7	-0.01	8%	21 Jul →
train	13–2	0.02	29%	21 Jul →
inferno	8–13	-0.04	44%	21 Jul →
inferno	3–13	-0.03	37%	20 Jul →
nuke	13–11	-0.04	28%	20 Jul →
nuke	9–13	-0.04	18%	20 Jul →
inferno	15–15	-0.01	21%	20 Jul →
dust2	9–13	-0.03	38%	20 Jul →
cache	13–9	-0.01	29%	20 Jul →
inferno	0–8	-0.16	33%	19 Jul →
inferno	10–13	-0.00	38%	18 Jul →
inferno	8–13	0.00	24%	17 Jul →
cache	13–10	0.00	25%	17 Jul →
mirage	6–13	-0.05	20%	17 Jul →
dust2	13–3	0.01	21%	17 Jul →
dust2	12–16	-0.04	19%	16 Jul →
inferno	10–13	-0.01	16%	15 Jul →
mirage	14–16	-0.05	27%	15 Jul →
train	12–12	-0.02	19%	15 Jul →
anubis	6–13	-0.00	19%	15 Jul →
cache	1–13	-0.02	24%	14 Jul →
inferno	11–13	-0.01	18%	14 Jul →
dust2	11–13	-0.05	18%	13 Jul →
nuke	13–6	0.00	28%	13 Jul →
cache	5–13	-0.07	33%	13 Jul →
mirage	2–13	-0.02	14%	13 Jul →
mirage	13–7	-0.00	24%	10 Jul →
inferno	13–8	-0.01	17%	10 Jul →
anubis	6–0	0.07	9%	10 Jul →
inferno	13–5	-0.05	11%	10 Jul →
cache	7–13	-0.04	25%	10 Jul →
nuke	16–12	-0.05	11%	10 Jul →
mirage	15–15	-0.04	21%	9 Jul →
anubis	9–13	-0.08	17%	9 Jul →
nuke	13–8	0.03	19%	9 Jul →
ancient	13–7	-0.04	22%	9 Jul →
nuke	11–13	-0.01	25%	9 Jul →
office	13–2	0.10	28%	8 Jul →
inferno	6–3	-0.04	17%	8 Jul →
mirage	13–4	0.12	31%	8 Jul →
dust2	12–12	0.01	25%	8 Jul →
dust2	13–5	-0.01	16%	3 Jul →
nuke	9–13	-0.05	11%	3 Jul →
overpass	13–16	0.01	25%	3 Jul →
mirage	13–11	-0.08	41%	3 Jul →
cache	6–13	-0.01	42%	2 Jul →
dust2	11–13	-0.11	13%	2 Jul →
inferno	9–13	-0.05	26%	1 Jul →
anubis	10–13	-0.01	13%	1 Jul →
nuke	6–13	-0.07	13%	1 Jul →
inferno	3–9	-0.12	25%	30 Jun →
inferno	10–13	0.01	11%	29 Jun →
mirage	13–5	0.03	17%	28 Jun →
anubis	7–13	0.02	13%	27 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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