deStrYy — CS2 Stats

76561198020944015[U:1:60678287]✓ No bans

3,183Tracked matches53%Win rate2020Tracked since

5,302Hours in CS9Hrs last 2 wks

CSDB Rating6.0 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim69

Positioning63

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWWLLLWWLLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression7.9

Utility5.1

Positioning6.3

Opening Duels3.4

Clutch2.8

Strong CT-side openerEffective flashes

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 b1t 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 58% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim6.9

Positioning6.3

Utility5.1

Mechanics6.3

Opening Duels3.5

Win Impact6.1

Composite 6.0/10 (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-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time644ms+23ms

first ⅓ avg 622ms → last ⅓ avg 644ms

Headshot accuracy32.1%+0.9%

first ⅓ avg 31.1% → last ⅓ avg 32.1%

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

0.15Best rating — mirage 13–5

13–4Biggest win — inferno

6Longest win streak

W2Current streak

14–10In matches decided by ≤2 rounds

17Overtime games

Map breakdown

infernoBest map · 64% over 14ancientWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	17–13	57%	-0.01
ancient	C	16	6–10	38%	-0.01
inferno	A	14	9–5	64%	0.00
overpass	A	11	6–5	55%	-0.00
mirage	C	9	4–5	44%	0.01
anubis	C	8	3–5	38%	-0.01
nuke	A	7	4–3	57%	-0.02
train	—	4	2–2	50%	0.02
cache	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

145,291Lifetime kills

1.09K/D · Top 50% of tracked players

5,770Matches

45.4%Match win rate

51.4%Headshot % · Top 50% of tracked players

14.3%Shot accuracy · Top 50% of tracked players

16,046MVPs

3,406Hours (in match)

8,435Bombs planted

2,020Bombs defused

Most-used weapons

AK-4737,719

Desert Eagle24,355

AWP22,986

M4A4 / M4A1-S19,470

P2000 / USP-S7,024

Glock-185,237

Knife3,832

MP72,325

FAMAS1,990

Tec-91,954

Lifetime map wins

16,175inferno

9,257dust2

4,233nuke

2,658vertigo

2,490train

582cbble

27militia

17lake

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

Faceit stats

Combat

3,473Matches

49%Win rate

2.09Avg K/D

77.5ADR

48%Headshot %

Clutches & streaks

34%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	430	47%	1.10	16.2
Mirage	299	47%	1.00	15.1
Anubis	263	49%	1.10	16.3
Ancient	234	46%	1.09	17.1
Inferno	139	46%	1.07	16.2
Overpass	129	49%	1.16	16.8
Nuke	95	44%	1.03	16.0
Vertigo	79	49%	1.06	16.1

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.

30.4%Headshot accuracy

31.8%Accuracy (enemy spotted)

29.3%Spray accuracy

78.3%Counter-strafing

9.6°Preaim

650msReaction time

29.5%T opening success

57.6%CT opening success

0.72Enemies flashed / flash

6.2%Flash assists

7.68HE damage / grenade

7.65Flashes / 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.

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 29.4944% — 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.

38% win rate across 16 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
dust2	19–15	0.01	30%	26 Aug →
inferno	16–14	0.03	28%	25 Aug →
ancient	4–13	-0.04	26%	9 Jul →
dust2	4–13	-0.07	13%	9 Jul →
mirage	5–13	-0.01	29%	8 Jul →
dust2	13–7	-0.02	23%	26 Jun →
anubis	13–9	0.03	27%	26 Jun →
nuke	10–13	0.04	31%	26 Jun →
nuke	11–13	-0.04	40%	5 Jun →
ancient	1–13	-0.04	32%	3 Jun →
inferno	19–16	0.00	40%	3 Jun →
overpass	14–16	-0.01	32%	25 May →
dust2	13–9	0.02	32%	25 May →
anubis	13–8	-0.01	25%	23 May →
cache	13–11	0.00	28%	23 May →
anubis	14–16	0.01	25%	15 May →
overpass	13–8	-0.04	24%	24 Apr →
nuke	13–7	0.01	25%	8 Mar →
dust2	13–5	0.03	43%	14 Feb →
dust2	13–10	0.01	36%	14 Feb →
overpass	13–7	-0.00	38%	16 Jan →
nuke	22–20	-0.06	21%	9 Jan →
ancient	17–19	-0.02	35%	9 Jan →
dust2	13–6	0.05	33%	30 Dec →
dust2	9–13	-0.01	40%	27 Dec →
overpass	10–13	-0.02	28%	26 Dec →
mirage	13–5	0.15	37%	20 Dec →
nuke	12–16	-0.07	22%	5 Dec →
inferno	7–13	-0.09	38%	5 Dec →
overpass	5–13	-0.03	33%	5 Dec →
ancient	3–13	-0.02	28%	20 Nov →
inferno	13–6	-0.00	46%	17 Nov →
inferno	11–13	0.04	70%	17 Nov →
ancient	16–12	0.00	26%	15 Nov →
inferno	7–13	-0.00	17%	25 Oct →
dust2	0–13	-0.07	22%	20 Oct →
dust2	9–13	0.07	40%	18 Oct →
inferno	13–4	-0.05	36%	18 Oct →
inferno	13–7	-0.02	31%	16 Oct →
dust2	13–7	-0.01	18%	11 Oct →
mirage	13–6	-0.05	27%	10 Oct →
ancient	13–10	0.01	44%	8 Oct →
ancient	11–13	-0.02	23%	5 Oct →
ancient	16–13	0.07	30%	4 Oct →
inferno	16–14	0.04	30%	4 Oct →
overpass	13–9	0.03	23%	4 Oct →
nuke	13–6	0.03	47%	4 Oct →
inferno	3–13	-0.00	24%	4 Oct →
inferno	16–13	0.03	24%	3 Oct →
dust2	5–13	-0.03	24%	27 Sept →
overpass	9–13	-0.02	24%	27 Sept →
overpass	13–11	0.03	36%	14 Sept →
mirage	13–4	0.03	29%	14 Sept →
dust2	16–13	0.05	29%	13 Sept →
dust2	13–8	0.05	31%	13 Sept →
mirage	9–13	0.04	24%	27 Jul →
overpass	16–14	0.00	33%	25 Jul →
ancient	13–4	0.02	30%	20 Jul →
dust2	13–11	0.01	33%	20 Jul →
dust2	13–11	-0.05	25%	20 Jul →
train	13–10	0.03	41%	20 Jul →
overpass	9–13	0.07	32%	20 Jul →
dust2	8–13	-0.03	26%	18 Jul →
dust2	13–11	0.01	47%	17 Jul →
overpass	13–11	-0.03	22%	17 Jul →
mirage	7–13	-0.05	17%	17 Jul →
train	13–11	0.03	31%	16 Jul →
dust2	13–10	-0.02	26%	16 Jul →
train	11–13	0.04	32%	16 Jul →
inferno	13–7	0.10	48%	16 Jul →
ancient	7–13	0.01	25%	16 Jul →
mirage	11–13	0.02	29%	16 Jul →
ancient	8–13	-0.08	33%	12 Jul →
dust2	4–13	-0.05	26%	12 Jul →
ancient	2–13	-0.07	25%	12 Jul →
dust2	9–13	-0.01	32%	12 Jul →
anubis	2–13	-0.05	36%	5 Jul →
inferno	16–14	-0.04	35%	27 Jun →
mirage	10–13	0.01	60%	27 Jun →
nuke	13–11	-0.01	17%	27 Jun →
dust2	13–7	0.01	32%	27 Jun →
ancient	11–13	-0.02	27%	21 Jun →
dust2	13–9	-0.00	38%	21 Jun →
anubis	13–6	-0.00	40%	20 Jun →
dust2	13–16	-0.03	37%	20 Jun →
ancient	8–13	-0.03	23%	18 Jun →
mirage	16–13	-0.03	19%	5 Jun →
ancient	13–9	-0.01	37%	5 Jun →
anubis	8–13	0.01	25%	5 Jun →
dust2	3–13	0.03	47%	3 Jun →
dust2	5–13	-0.00	36%	3 Jun →
train	9–13	-0.04	33%	31 May →
dust2	6–13	-0.04	33%	31 May →
dust2	13–8	-0.08	31%	31 May →
ancient	13–11	0.02	30%	31 May →
dust2	11–13	0.00	28%	30 May →
dust2	13–7	0.02	32%	29 May →
anubis	7–13	-0.05	19%	28 May →
anubis	8–13	-0.06	16%	28 May →
inferno	5–13	-0.02	20%	27 May →