Drozen — CS2 Stats

76561198128897166[U:1:168631438]

344Tracked matches66%Win rate2022Tracked since

CSDB Rating4.9 Developing

Premier CS Rating11,122Blue band · top ~49% of ranked players (population est.)

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim41

Positioning53

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWWLWLLWWW

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

Player DNA

Aim4.1

Aggression7.7

Utility5.6

Positioning5.3

Opening Duels2.8

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

Plays most like b1t 85% playstyle similarity

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

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

Reaction time. 643ms 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

Aim4.1

Positioning5.3

Utility5.6

Mechanics5.1

Opening Duels2.8

Win Impact10.0

Composite 4.9/10 (Developing), 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+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time644ms+12ms

first ⅓ avg 632ms → last ⅓ avg 644ms

Headshot accuracy10.6%−2.8%

first ⅓ avg 13.3% → last ⅓ avg 10.6%

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

0.14Best rating — cache 13–7

13–2Biggest win — cache

8Longest win streak

7–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 63% over 41infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	41	26–15	63%	0.01
mirage	B	13	7–6	54%	-0.00
dust2	B	13	6–7	46%	-0.01
ancient	B	11	5–6	45%	0.02
overpass	C	9	4–5	44%	-0.03
inferno	D	8	2–6	25%	-0.01
nuke	—	4	1–3	25%	-0.03
anubis	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches

67%Win rate

0.59Avg K/D

56.5ADR

32%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	50%	0.62	11.0
Anubis	1	100%	0.54	7.0

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.

10.1%Headshot accuracy

33.8%Accuracy (enemy spotted)

34.9%Spray accuracy

72.9%Counter-strafing

11.3°Preaim

643msReaction time

38.5%T opening success

43.6%CT opening success

0.46Enemies flashed / flash

4.4%Flash assists

9.52HE damage / grenade

18.82Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.1169% — below the 15% mark we flag
Aim Training →
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 0.4635 — 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 38.524% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	-0.01	7%	29 Aug →
cache	13–10	-0.01	14%	28 Aug →
cache	13–5	-0.05	15%	26 Aug →
cache	11–13	-0.05	10%	18 Aug →
cache	13–9	0.07	11%	17 Aug →
cache	11–13	0.02	8%	16 Aug →
cache	5–13	-0.01	7%	12 Aug →
cache	13–5	0.08	12%	9 Aug →
cache	13–10	-0.03	12%	9 Aug →
cache	13–8	0.07	9%	7 Aug →
cache	11–13	0.03	9%	7 Aug →
cache	13–6	0.03	13%	3 Aug →
cache	13–3	-0.02	9%	3 Aug →
cache	1–8	-0.08	7%	3 Aug →
cache	9–13	0.11	11%	29 Jul →
cache	12–12	-0.00	6%	29 Jul →
cache	13–11	0.00	7%	20 Jul →
cache	7–13	-0.03	16%	20 Jul →
cache	13–11	-0.04	9%	19 Jul →
cache	13–6	-0.00	21%	19 Jul →
cache	5–13	0.09	5%	19 Jul →
cache	13–4	0.04	10%	18 Jul →
cache	13–9	-0.00	11%	18 Jul →
cache	13–8	-0.02	12%	18 Jul →
cache	13–6	-0.02	5%	16 Jul →
cache	13–7	0.14	16%	14 Jul →
cache	13–7	-0.03	7%	13 Jul →
cache	13–8	0.00	7%	13 Jul →
cache	13–2	-0.01	8%	12 Jul →
cache	3–13	-0.02	8%	12 Jul →
cache	13–10	0.04	17%	12 Jul →
cache	10–13	-0.01	11%	12 Jul →
cache	13–4	0.06	18%	12 Jul →
cache	13–7	0.05	7%	10 Jul →
cache	13–8	0.08	10%	10 Jul →
cache	10–13	-0.07	8%	6 Jul →
cache	9–13	0.04	19%	6 Jul →
cache	13–4	0.04	26%	6 Jul →
cache	13–10	-0.03	6%	5 Jul →
cache	13–10	0.02	17%	5 Jul →
cache	4–13	-0.08	8%	5 Jul →
inferno	13–9	0.06	13%	8 Apr →
mirage	2–13	0.01	16%	8 Apr →
dust2	13–11	-0.01	9%	8 Apr →
inferno	8–8	-0.04	18%	5 Apr →
mirage	13–8	0.08	14%	4 Apr →
mirage	13–11	0.02	26%	28 Mar →
dust2	13–10	-0.02	16%	28 Mar →
mirage	13–16	-0.04	14%	28 Mar →
dust2	13–6	0.03	25%	23 Mar →
ancient	6–13	0.02	11%	23 Mar →
overpass	13–5	0.00	17%	16 Mar →
inferno	10–13	-0.04	13%	16 Mar →
mirage	8–13	-0.02	4%	12 Mar →
ancient	13–8	0.07	9%	9 Mar →
inferno	13–11	0.00	24%	9 Mar →
dust2	6–12	-0.04	12%	9 Mar →
inferno	4–13	-0.05	15%	9 Mar →
mirage	13–9	-0.05	21%	3 Mar →
ancient	13–11	0.02	13%	3 Mar →
overpass	4–13	-0.09	10%	1 Mar →
dust2	13–8	0.08	22%	1 Mar →
dust2	13–7	-0.05	23%	1 Mar →
overpass	13–7	0.01	3%	28 Feb →
ancient	13–6	0.02	21%	28 Feb →
overpass	16–13	-0.02	9%	23 Feb →
ancient	15–15	-0.01	4%	22 Feb →
ancient	7–13	-0.00	7%	22 Feb →
dust2	13–3	0.08	10%	21 Feb →
dust2	11–13	0.00	17%	21 Feb →
overpass	1–13	-0.08	24%	21 Feb →
dust2	12–16	-0.06	21%	21 Feb →
nuke	2–13	-0.04	14%	18 Feb →
dust2	4–13	-0.03	10%	18 Feb →
mirage	5–13	-0.02	8%	18 Feb →
inferno	5–13	-0.04	4%	18 Feb →
mirage	13–6	0.02	8%	17 Feb →
dust2	6–13	-0.04	11%	17 Feb →
nuke	9–13	-0.00	17%	17 Feb →
ancient	5–13	0.02	11%	16 Feb →
inferno	11–13	0.03	8%	16 Feb →
inferno	4–13	-0.02	17%	16 Feb →
dust2	6–13	-0.02	29%	16 Feb →
mirage	13–7	0.00	8%	15 Feb →
mirage	11–13	-0.05	4%	15 Feb →
ancient	13–8	0.00	6%	15 Feb →
mirage	13–6	0.03	15%	15 Feb →
anubis	16–14	0.01	2%	15 Feb →
mirage	13–10	0.04	11%	14 Feb →
mirage	3–13	-0.05	41%	14 Feb →
overpass	13–8	0.03	10%	14 Feb →
nuke	13–6	-0.04	14%	14 Feb →
ancient	7–13	0.04	8%	14 Feb →
ancient	13–7	0.10	9%	13 Feb →
overpass	11–13	0.02	8%	11 Feb →
nuke	1–9	-0.03	17%	11 Feb →
dust2	3–13	-0.02	31%	11 Feb →
overpass	4–13	-0.05	15%	10 Feb →
overpass	9–13	-0.06	6%	10 Feb →
ancient	7–13	-0.04	17%	8 Feb →