DKs — CS2 Stats

76561199476695166[U:1:1516429438]

1,351Tracked matches43%Win rate2023Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating12,504Blue band · top ~41.6% of ranked players (population est.)

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning54

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWWLLLWLWL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim6.5

Aggression7.7

Utility5.7

Positioning5.4

Opening Duels3.4

Clutch4.8

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 90% 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 59% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms 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

Aim6.5

Positioning5.4

Utility5.7

Mechanics7.5

Opening Duels3.7

Win Impact2.8

Composite 5.4/10 (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 rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time644ms−49ms

first ⅓ avg 693ms → last ⅓ avg 644ms

Headshot accuracy17.8%+1.1%

first ⅓ avg 16.7% → last ⅓ avg 17.8%

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 — mirage 13–11

13–0Biggest win — dust2

3Longest win streak

10–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 80% over 5anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	30	21–9	70%	-0.01
inferno	C	24	9–15	38%	-0.00
mirage	C	20	7–13	35%	0.00
ancient	B	10	5–5	50%	0.01
anubis	D	6	2–4	33%	-0.02
nuke	S	5	4–1	80%	0.03
train	—	3	2–1	67%	0.01
overpass	—	1	0–1	0%	-0.05
agency	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

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

Faceit stats

Combat

234Matches

48%Win rate

1.07Avg K/D

76.4ADR

40%Headshot %

Clutches & streaks

44%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	40	48%	1.10	14.1
Anubis	36	47%	1.02	14.7
Mirage	33	52%	1.00	13.6
Inferno	32	59%	1.09	14.9
Ancient	13	62%	1.28	15.1
Vertigo	4	50%	1.06	18.0
Overpass	2	0%	0.92	17.5
Nuke	1	0%	0.50	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.

17.4%Headshot accuracy

34.6%Accuracy (enemy spotted)

34.3%Spray accuracy

83.9%Counter-strafing

9.8°Preaim

645msReaction time

27.6%T opening success

59.3%CT opening success

0.73Enemies flashed / flash

6.7%Flash assists

8.77HE damage / grenade

6.49Flashes / 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 27.6127% — 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.

33% win rate across 6 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
inferno	8–13	-0.02	11%	26 Aug →
dust2	13–10	-0.01	14%	26 Aug →
ancient	13–5	0.04	21%	26 Aug →
anubis	7–13	-0.01	17%	26 Aug →
mirage	10–13	0.04	17%	26 Aug →
nuke	8–13	0.06	19%	26 Aug →
dust2	13–2	0.08	27%	26 Aug →
mirage	8–13	-0.06	19%	25 Aug →
inferno	13–10	0.02	6%	25 Aug →
dust2	6–13	-0.09	13%	25 Aug →
mirage	13–11	0.14	21%	25 Aug →
mirage	9–13	-0.02	24%	25 Aug →
mirage	13–2	0.11	23%	25 Aug →
mirage	7–13	-0.06	11%	25 Aug →
nuke	13–11	-0.06	20%	24 Aug →
inferno	9–13	-0.01	12%	19 Aug →
mirage	7–13	-0.06	17%	19 Aug →
dust2	13–6	-0.01	18%	19 Aug →
inferno	13–11	-0.01	12%	19 Aug →
mirage	8–13	-0.01	19%	19 Aug →
dust2	13–3	-0.05	23%	19 Aug →
inferno	13–7	0.02	14%	19 Aug →
anubis	9–13	-0.03	16%	19 Aug →
ancient	11–13	-0.00	20%	19 Aug →
ancient	13–10	0.00	23%	19 Aug →
dust2	9–13	0.01	5%	18 Aug →
inferno	5–13	0.04	17%	18 Aug →
dust2	13–2	-0.01	15%	11 Aug →
inferno	5–13	-0.04	26%	11 Aug →
inferno	7–13	-0.07	31%	11 Aug →
nuke	13–10	-0.00	16%	11 Aug →
dust2	15–15	-0.03	23%	11 Aug →
mirage	13–6	0.06	19%	19 Nov →
mirage	5–13	-0.09	17%	19 Nov →
nuke	13–7	0.03	9%	10 Nov →
inferno	11–13	0.01	11%	5 Nov →
train	13–10	-0.03	24%	5 Nov →
dust2	16–14	-0.00	19%	29 Oct →
ancient	8–13	0.08	23%	29 Oct →
inferno	13–6	0.04	26%	21 Oct →
mirage	13–9	0.09	16%	14 Oct →
train	12–12	0.00	14%	14 Oct →
ancient	8–13	-0.01	23%	14 Oct →
anubis	13–10	0.06	20%	13 Oct →
mirage	6–13	-0.03	9%	13 Oct →
dust2	13–0	-0.03	12%	7 Oct →
overpass	8–13	-0.05	30%	7 Oct →
mirage	6–13	-0.00	14%	7 Oct →
inferno	13–8	0.01	19%	7 Oct →
mirage	11–13	-0.05	13%	30 Sept →
mirage	13–9	0.03	12%	30 Sept →
dust2	13–6	-0.04	8%	14 Sept →
mirage	10–13	-0.05	15%	14 Sept →
ancient	13–11	-0.00	12%	3 Aug →
ancient	9–13	-0.04	8%	3 Aug →
mirage	13–6	-0.07	17%	3 Aug →
dust2	13–8	0.01	27%	3 Aug →
ancient	6–13	0.00	13%	23 Jul →
inferno	16–12	0.09	18%	23 Jul →
dust2	1–13	-0.07	26%	21 Jul →
dust2	13–11	-0.03	14%	21 Jul →
mirage	5–13	0.02	17%	21 Jul →
ancient	13–6	-0.00	11%	21 Jul →
inferno	10–13	-0.04	14%	21 Jul →
dust2	13–8	-0.01	10%	21 Jul →
dust2	8–13	-0.10	11%	21 Jul →
dust2	13–10	0.02	18%	15 Jul →
nuke	13–6	0.13	16%	15 Jul →
inferno	6–13	-0.01	11%	9 Jul →
dust2	13–8	0.01	12%	9 Jul →
inferno	11–13	0.00	14%	6 Jul →
anubis	9–13	-0.05	6%	5 Jul →
dust2	13–6	0.06	18%	5 Jul →
anubis	9–13	-0.03	14%	5 Jul →
dust2	12–12	0.01	23%	2 Jul →
mirage	7–13	0.00	15%	1 Jul →
inferno	13–9	0.07	18%	1 Jul →
dust2	13–5	0.07	19%	1 Jul →
dust2	13–7	-0.02	9%	23 Jun →
dust2	5–13	0.05	16%	23 Jun →
inferno	7–13	0.01	21%	23 Jun →
mirage	13–8	0.01	13%	23 Jun →
dust2	13–11	-0.01	25%	11 Jun →
inferno	11–13	-0.04	15%	11 Jun →
dust2	13–9	-0.01	23%	11 Jun →
dust2	13–11	-0.02	11%	11 Jun →
agency	9–13	-0.09	13%	11 Jun →
inferno	13–11	-0.04	21%	11 Jun →
inferno	13–3	0.02	19%	10 Jun →
inferno	6–13	-0.03	14%	10 Jun →
dust2	5–13	0.01	9%	10 Jun →
ancient	13–11	-0.00	13%	10 Jun →
inferno	4–13	-0.02	33%	4 Jun →
dust2	13–6	0.02	20%	4 Jun →
inferno	6–13	0.01	22%	4 Jun →
dust2	7–13	0.07	23%	4 Jun →
train	13–5	0.07	17%	4 Jun →
dust2	13–5	-0.05	16%	4 Jun →
anubis	13–9	-0.05	9%	4 Jun →
inferno	6–13	-0.09	23%	4 Jun →