dajnoz — CS2 Stats

NU76561199037393522[U:1:1077127794]Steam profile ↗✓ No bans

843Tracked matches33%Win rate2020Tracked since

CSDB Rating5.8 SolidAggressive Rifler

FaceitLevel 10 · 2,231 ELOTop 12.4% of ranked FACEIT players

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

Aim87

Positioning54

Utility54

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateLWLWLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim8.7

Aggression7.0

Utility5.4

Positioning5.4

Opening Duels2.3

Clutch3.2

Sharp aimer

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 94% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 559ms 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

Aim8.7

Positioning5.4

Utility5.4

Mechanics7.3

Opening Duels2.3

Win Impact0.0

Composite 5.8/10 (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-0.01−0.07

first ⅓ avg 0.06 → last ⅓ avg -0.01

Reaction time567ms−54ms

first ⅓ avg 621ms → last ⅓ avg 567ms

Headshot accuracy25.5%−5.7%

first ⅓ avg 31.2% → last ⅓ avg 25.5%

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

0.23Best rating — inferno 13–5

13–2Biggest win — mirage

5Longest win streak

4–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 52% over 31nukeWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	16–15	52%	0.05
dust2	C	21	9–12	43%	0.03
ancient	B	13	6–7	46%	0.02
inferno	D	13	4–9	31%	0.06
anubis	C	7	3–4	43%	-0.00
nuke	D	6	0–6	0%	-0.02
cache	—	3	1–2	33%	0.05
train	—	2	0–2	0%	0.02
overpass	—	2	1–1	50%	0.04
vertigo	—	1	0–1	0%	-0.03
italy	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,135Matches

53%Win rate

1.32Avg K/D

86.0ADR

46%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	114	59%	1.41	18.6
Dust2	85	46%	1.30	18.5
Ancient	67	48%	1.31	17.6
Anubis	53	53%	1.36	18.4
Inferno	30	37%	1.34	18.8
Nuke	25	52%	1.33	19.3
Cache	15	73%	1.61	19.0
Overpass	9	56%	1.29	20.1

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.

26.1%Headshot accuracy

36.0%Accuracy (enemy spotted)

38.1%Spray accuracy

82.7%Counter-strafing

8.3°Preaim

559msReaction time

36.3%T opening success

42.0%CT opening success

0.59Enemies flashed / flash

7.8%Flash assists

9.14HE damage / grenade

6.78Flashes / 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 36.27% — below the 40% mark we flag

Spend your practice time on Nuke

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	9–13	-0.08	31%	23 Aug →
mirage	13–9	0.03	24%	23 Aug →
ancient	6–13	-0.10	20%	22 Aug →
mirage	13–11	-0.04	30%	22 Aug →
ancient	4–13	-0.04	19%	22 Aug →
dust2	12–16	0.02	41%	18 Aug →
nuke	10–13	-0.01	14%	18 Aug →
vertigo	7–13	-0.03	27%	13 Aug →
inferno	4–13	-0.01	29%	13 Aug →
dust2	8–13	-0.05	33%	13 Aug →
mirage	10–13	-0.04	20%	13 Aug →
nuke	9–13	0.01	17%	12 Aug →
mirage	13–9	0.06	41%	12 Aug →
anubis	13–9	0.07	30%	12 Aug →
anubis	5–13	-0.01	21%	9 Aug →
dust2	13–8	-0.02	23%	9 Aug →
mirage	13–11	0.04	28%	9 Aug →
cache	11–13	0.02	22%	9 Aug →
ancient	13–8	-0.05	31%	8 Aug →
dust2	9–13	0.00	30%	8 Aug →
anubis	5–13	0.03	18%	8 Aug →
mirage	13–8	-0.00	33%	6 Aug →
anubis	5–13	-0.08	19%	6 Aug →
mirage	5–13	-0.04	29%	6 Aug →
ancient	13–10	0.04	24%	30 Jul →
nuke	13–16	-0.03	28%	29 Jul →
dust2	8–13	-0.08	12%	29 Jul →
inferno	9–13	-0.01	23%	28 Jul →
mirage	10–13	0.01	26%	28 Jul →
inferno	13–10	-0.01	31%	27 Jul →
dust2	13–10	-0.01	18%	27 Jul →
mirage	13–10	0.09	29%	10 Jul →
mirage	7–13	-0.01	19%	10 Jul →
ancient	16–19	-0.02	21%	10 Jul →
nuke	9–13	-0.00	19%	10 Jul →
ancient	13–7	-0.02	36%	7 Jul →
nuke	12–16	-0.05	16%	4 Jul →
anubis	13–8	0.06	68%	17 Jun →
mirage	13–9	0.07	39%	16 Jun →
mirage	13–6	-0.03	32%	10 Jun →
cache	7–13	-0.02	20%	7 Jun →
mirage	11–13	0.02	31%	5 Jun →
dust2	5–13	0.02	24%	5 Jun →
dust2	13–11	-0.01	43%	1 Jun →
dust2	5–13	-0.02	32%	19 May →
inferno	5–13	0.02	37%	11 May →
mirage	6–13	0.05	30%	10 May →
italy	13–5	-0.01	36%	10 May →
cache	13–4	0.16	32%	10 May →
dust2	6–13	0.07	36%	28 Apr →
dust2	13–10	0.03	47%	23 Apr →
dust2	2–13	0.08	37%	14 Apr →
mirage	13–2	0.22	22%	13 Apr →
inferno	15–15	0.11	26%	25 Mar →
mirage	8–13	0.07	32%	19 Mar →
dust2	6–13	0.03	32%	14 Jan →
mirage	13–7	-0.02	23%	12 Jan →
inferno	9–13	0.03	23%	11 Jan →
ancient	13–2	0.10	27%	1 Jan →
inferno	7–13	-0.01	27%	1 Jan →
ancient	11–13	0.03	35%	29 Dec →
train	4–13	0.00	33%	29 Dec →
ancient	5–13	-0.03	28%	29 Dec →
dust2	14–16	0.05	27%	20 Dec →
ancient	13–5	0.07	18%	20 Dec →
inferno	10–13	0.12	29%	19 Dec →
mirage	13–4	0.16	26%	18 Dec →
ancient	13–10	0.11	29%	18 Dec →
nuke	3–13	-0.03	34%	17 Dec →
dust2	13–10	0.07	27%	16 Dec →
dust2	5–13	-0.02	23%	15 Dec →
inferno	8–13	0.04	29%	13 Dec →
inferno	16–13	0.11	29%	13 Dec →
ancient	6–13	0.02	35%	13 Dec →
mirage	10–13	0.02	29%	12 Dec →
inferno	13–5	0.23	31%	11 Dec →
inferno	15–15	0.08	25%	11 Dec →
train	8–13	0.05	12%	5 Dec →
mirage	11–13	-0.03	19%	2 Dec →
mirage	13–11	0.18	43%	1 Dec →
mirage	7–13	0.10	36%	28 Nov →
mirage	9–13	0.04	46%	27 Nov →
mirage	9–13	0.04	33%	27 Nov →
dust2	13–5	0.13	32%	22 Nov →
inferno	13–10	0.07	53%	22 Nov →
mirage	13–6	0.11	27%	20 Nov →
ancient	10–13	0.11	31%	19 Nov →
overpass	6–13	0.02	13%	15 Nov →
mirage	11–13	-0.00	17%	15 Nov →
mirage	13–5	0.09	42%	15 Nov →
mirage	10–13	0.11	33%	13 Nov →
dust2	13–16	0.14	25%	12 Nov →
dust2	13–3	0.14	26%	27 Oct →
mirage	13–6	0.02	43%	27 Oct →
mirage	13–8	0.11	37%	22 Oct →
overpass	19–16	0.05	27%	13 Oct →
dust2	13–9	0.05	50%	13 Oct →
mirage	12–12	0.01	39%	26 Sept →
dust2	13–5	-0.07	24%	27 Aug →
anubis	11–3	-0.01	31%	26 Aug →