... — CS2 Stats

DK76561198166359288[U:1:206093560]Steam profile ↗✓ No bans

385Tracked matches45%Win rate2020Tracked since

11,411Hours in CS1Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim80

Positioning57

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLLWLLLWWWL

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

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

Aim8.0

Aggression8.2

Utility5.1

Positioning5.7

Opening Duels3.9

Strong CT-side opener

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 92% playstyle similarity

Most alike: utility contribution, positioning profile.

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 56% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim8.0

Positioning5.7

Utility5.1

Mechanics8.2

Opening Duels3.9

Win Impact3.3

Composite 6.3/10 (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-0.00−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time614ms−40ms

first ⅓ avg 655ms → last ⅓ avg 614ms

Headshot accuracy24.0%−0.4%

first ⅓ avg 24.4% → last ⅓ avg 24.0%

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 — ancient 13–10

13–1Biggest win — dust2

4Longest win streak

L2Current streak

3–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 73% over 11mirageWeakest map · 43% over 28

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	28	12–16	43%	-0.00
inferno	C	21	9–12	43%	0.00
ancient	B	12	6–6	50%	-0.02
cache	S	11	8–3	73%	0.01
dust2	S	11	8–3	73%	0.00
nuke	A	7	4–3	57%	-0.00
anubis	—	4	2–2	50%	0.01
overpass	—	4	1–3	25%	-0.01
office	—	1	1–0	100%	-0.02
train	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 28). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

217,768Lifetime kills

0.97K/D

8,544Matches

39.3%Match win rate

51.0%Headshot % · Top 25% of tracked players

17.2%Shot accuracy · Top 25% of tracked players

45,140MVPs

4,322Hours (in match)

3,159Bombs planted

2,264Bombs defused

Most-used weapons

AK-4783,094

M4A4 / M4A1-S37,344

AWP24,472

Desert Eagle21,169

P2000 / USP-S14,661

Glock-187,662

P2503,930

MP72,247

Five-SeveN2,075

Knife2,052

Lifetime map wins

11,640cbble

11,602dust2

10,683inferno

4,079vertigo

3,532train

2,383nuke

213lake

195dust

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.6%Headshot accuracy

35.0%Accuracy (enemy spotted)

37.3%Spray accuracy

86.7%Counter-strafing

9.6°Preaim

610msReaction time

35.4%T opening success

56.1%CT opening success

0.57Enemies flashed / flash

6.9%Flash assists

7.55HE damage / grenade

10.86Flashes / 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 35.3533% — below the 40% mark we flag

Spend your practice time on Mirage

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

43% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	-0.01	20%	23 Aug →
ancient	5–13	0.01	20%	15 Jul →
cache	6–0	0.07	33%	15 Jul →
inferno	3–13	-0.02	29%	15 Jul →
mirage	4–13	-0.08	33%	15 Jul →
cache	5–13	0.02	38%	14 Jul →
mirage	13–6	0.01	22%	14 Jul →
cache	13–3	0.09	28%	13 Jul →
ancient	13–10	0.12	26%	13 Jul →
mirage	11–13	0.04	25%	6 Jul →
mirage	2–13	-0.03	14%	6 Jul →
mirage	11–8	-0.07	33%	25 Jun →
inferno	5–2	-0.03	38%	25 Jun →
mirage	6–13	0.04	27%	19 Jun →
mirage	13–5	0.05	13%	17 Jun →
ancient	2–13	-0.07	21%	16 Jun →
inferno	3–13	-0.06	39%	15 Jun →
inferno	15–15	0.03	27%	15 Jun →
dust2	13–9	-0.05	23%	15 Jun →
dust2	13–4	0.01	12%	15 Jun →
inferno	13–9	0.06	30%	15 Jun →
mirage	4–13	-0.01	19%	15 Jun →
inferno	8–13	-0.06	17%	14 Jun →
ancient	13–9	-0.09	21%	13 Jun →
ancient	11–13	0.02	11%	13 Jun →
ancient	16–12	-0.02	24%	5 Jun →
mirage	1–13	-0.00	36%	5 Jun →
mirage	13–7	-0.05	21%	5 Jun →
dust2	5–13	-0.01	8%	3 Jun →
mirage	3–13	-0.04	18%	2 Jun →
anubis	13–8	0.07	15%	30 May →
ancient	13–10	-0.02	19%	29 May →
cache	13–11	0.03	32%	27 May →
inferno	6–13	-0.00	21%	25 May →
ancient	13–11	-0.06	25%	23 May →
dust2	13–1	0.02	13%	22 May →
ancient	16–12	-0.03	24%	22 May →
mirage	9–13	-0.00	23%	22 May →
inferno	4–13	-0.05	29%	21 May →
anubis	13–10	-0.01	10%	21 May →
nuke	13–8	0.01	25%	19 May →
anubis	3–13	0.03	14%	13 May →
anubis	5–13	-0.05	21%	13 May →
cache	13–7	-0.06	18%	9 May →
cache	13–6	-0.04	19%	9 May →
mirage	3–13	-0.01	21%	6 May →
ancient	8–13	-0.11	17%	4 May →
nuke	7–13	0.02	38%	3 May →
mirage	7–1	0.04	18%	3 May →
cache	6–13	-0.02	25%	2 May →
ancient	9–13	-0.03	22%	1 May →
mirage	5–13	-0.04	29%	30 Apr →
dust2	13–6	0.00	20%	29 Apr →
cache	13–8	0.06	41%	29 Apr →
cache	13–4	-0.02	28%	29 Apr →
cache	13–5	0.05	27%	29 Apr →
cache	1–13	-0.07	21%	29 Apr →
mirage	13–5	-0.01	13%	24 Apr →
dust2	13–9	-0.02	25%	23 Apr →
nuke	11–13	-0.08	53%	21 Apr →
inferno	13–3	0.05	18%	21 Apr →
nuke	6–13	-0.05	28%	20 Apr →
mirage	15–15	-0.02	27%	19 Apr →
mirage	12–16	0.05	14%	18 Apr →
inferno	16–13	0.01	26%	18 Apr →
mirage	10–13	-0.04	23%	17 Apr →
nuke	13–6	-0.01	28%	16 Apr →
overpass	12–12	0.03	27%	11 Apr →
mirage	8–13	-0.01	26%	10 Apr →
inferno	13–3	0.06	18%	9 Apr →
inferno	12–12	0.01	28%	8 Apr →
nuke	13–8	0.02	30%	3 Apr →
inferno	7–13	-0.00	21%	3 Apr →
overpass	13–4	-0.01	16%	2 Apr →
inferno	13–7	-0.02	29%	27 Mar →
nuke	13–2	0.09	52%	27 Mar →
mirage	12–4	0.08	15%	21 Mar →
dust2	7–13	0.02	17%	21 Mar →
mirage	16–13	0.05	19%	16 Mar →
inferno	9–13	-0.02	15%	15 Mar →
inferno	9–13	0.02	9%	12 Mar →
inferno	13–5	0.08	22%	11 Mar →
mirage	13–9	-0.04	20%	4 Mar →
inferno	9–6	0.06	41%	4 Mar →
dust2	5–13	-0.09	35%	28 Feb →
mirage	13–9	-0.02	10%	21 Feb →
dust2	13–9	0.07	24%	3 Feb →
mirage	10–13	-0.03	26%	3 Feb →
inferno	5–13	0.01	22%	1 Feb →
office	13–6	-0.02	13%	1 Feb →
dust2	13–11	-0.04	15%	1 Feb →
mirage	5–13	-0.03	35%	6 Jan →
mirage	13–3	0.01	20%	31 Oct →
ancient	8–13	0.05	38%	16 Oct →
dust2	13–8	0.11	36%	24 Sept →
overpass	7–13	-0.03	19%	24 Sept →
train	12–3	0.09	21%	21 Sept →
mirage	13–5	0.06	24%	21 Sept →
inferno	13–8	-0.06	22%	16 Sept →
overpass	9–13	-0.02	40%	16 Sept →