nyock — CS2 Stats

IL76561198981269219[U:1:1021003491]Steam profile ↗✓ No bans

2,963Tracked matches46%Win rate2020Tracked since

3,172Hours in CS10Hrs last 2 wks

CSDB Rating4.8 DevelopingHybrid Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim77

Positioning41

Utility43

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateWLLLLLWTWL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim7.7

Aggression4.9

Utility4.3

Positioning4.1

Opening Duels1.0

Clutch2.8

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 NiKo 83% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 35 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.

T-side openings. Opening success drops from 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim7.7

Positioning4.1

Utility4.3

Mechanics7.0

Opening Duels1.5

Win Impact3.8

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time568ms−16ms

first ⅓ avg 584ms → last ⅓ avg 568ms

Headshot accuracy19.0%−0.8%

first ⅓ avg 19.8% → last ⅓ avg 19.0%

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 — dust2 13–1

13–0Biggest win — anubis

5Longest win streak

5–6In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 60% over 10nukeWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	53	25–28	47%	-0.01
mirage	D	10	3–7	30%	-0.03
cache	A	10	6–4	60%	-0.04
nuke	D	7	1–6	14%	-0.05
inferno	—	4	1–3	25%	-0.10
debris	—	4	2–2	50%	-0.01
anubis	—	3	1–2	33%	-0.03
train	—	3	3–0	100%	0.02
ancient	—	2	1–1	50%	-0.07
eldorado	—	2	1–1	50%	-0.03
vertigo	—	1	1–0	100%	-0.01
poseidon	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,398Lifetime kills

1.19K/D · Top 25% of tracked players

4,308Matches

56.3%Match win rate · Top 5% of tracked players

49.1%Headshot % · Top 50% of tracked players

12.0%Shot accuracy · Top 50% of tracked players

9,225MVPs

1,283Hours (in match)

3,462Bombs planted

731Bombs defused

Most-used weapons

AK-4716,944

AWP13,353

M4A4 / M4A1-S9,909

Glock-184,855

P2000 / USP-S4,435

Desert Eagle3,095

MAC-102,356

MP72,254

FAMAS1,600

Galil AR1,229

Lifetime map wins

21,968dust2

3,763nuke

3,302office

1,489inferno

909vertigo

817train

157lake

108cbble

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

Faceit stats

Combat

135Matches

54%Win rate

1.05Avg K/D

82.9ADR

46%Headshot %

Clutches & streaks

34%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	46	63%	1.15	15.9
Ancient	17	47%	1.00	16.2
Anubis	15	47%	0.91	15.3
Nuke	11	82%	1.24	17.6
Mirage	11	27%	0.98	13.9
Cache	7	57%	1.20	18.6
Vertigo	3	67%	1.02	15.7
Overpass	1	0%	0.73	11.0

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.

18.9%Headshot accuracy

36.4%Accuracy (enemy spotted)

42.7%Spray accuracy

81.7%Counter-strafing

10.6°Preaim

577msReaction time

26.0%T opening success

42.3%CT opening success

0.56Enemies flashed / flash

8.2%Flash assists

7.17HE damage / grenade

7.33Flashes / 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 25.9538% — 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.

14% win rate across 7 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
dust2	13–11	-0.03	15%	27 Aug →
dust2	1–6	-0.10	10%	25 Aug →
mirage	10–13	-0.06	13%	25 Aug →
dust2	3–6	-0.06	18%	24 Aug →
dust2	3–13	-0.08	20%	23 Aug →
inferno	0–6	-0.07	20%	22 Aug →
dust2	13–10	-0.01	31%	22 Aug →
dust2	12–12	-0.08	17%	22 Aug →
dust2	13–1	0.06	12%	22 Aug →
mirage	7–13	-0.01	29%	19 Aug →
dust2	3–13	-0.04	13%	19 Aug →
mirage	13–6	0.04	18%	17 Aug →
dust2	6–13	-0.05	11%	17 Aug →
cache	13–8	-0.00	17%	17 Aug →
dust2	13–5	0.01	30%	17 Aug →
ancient	13–9	-0.03	21%	16 Aug →
nuke	3–13	-0.03	19%	16 Aug →
dust2	12–12	0.04	24%	16 Aug →
nuke	7–13	-0.10	0%	16 Aug →
mirage	13–6	-0.01	19%	16 Aug →
nuke	9–13	-0.02	18%	13 Aug →
dust2	13–4	0.03	18%	13 Aug →
dust2	13–7	-0.08	16%	13 Aug →
nuke	7–13	0.04	31%	12 Aug →
dust2	5–13	-0.04	10%	12 Aug →
dust2	13–7	-0.03	19%	7 Aug →
dust2	13–2	-0.04	32%	7 Aug →
dust2	5–13	0.06	31%	6 Aug →
dust2	13–9	0.08	25%	6 Aug →
dust2	1–5	-0.14	0%	5 Aug →
dust2	11–13	-0.02	21%	5 Aug →
dust2	13–4	0.02	22%	5 Aug →
dust2	8–2	0.02	30%	5 Aug →
dust2	5–13	0.01	20%	5 Aug →
dust2	12–12	0.01	21%	3 Aug →
dust2	3–7	0.03	32%	3 Aug →
cache	13–5	-0.06	19%	2 Aug →
anubis	9–13	-0.12	7%	1 Aug →
dust2	13–6	0.03	23%	1 Aug →
dust2	13–2	0.00	36%	1 Aug →
dust2	10–13	-0.03	23%	1 Aug →
cache	13–4	-0.04	21%	31 Jul →
dust2	13–11	0.00	26%	31 Jul →
vertigo	13–8	-0.01	15%	31 Jul →
dust2	13–8	-0.04	19%	30 Jul →
dust2	13–1	0.06	11%	30 Jul →
dust2	6–13	-0.05	21%	30 Jul →
debris	7–9	-0.05	16%	30 Jul →
dust2	5–13	-0.07	18%	30 Jul →
cache	0–8	-0.08	0%	29 Jul →
mirage	13–9	-0.03	21%	29 Jul →
dust2	11–13	0.04	28%	29 Jul →
cache	13–7	-0.08	40%	27 Jul →
mirage	12–12	-0.06	12%	27 Jul →
dust2	13–11	0.04	21%	27 Jul →
dust2	13–6	-0.05	20%	27 Jul →
dust2	4–13	0.01	22%	27 Jul →
cache	3–13	-0.01	17%	26 Jul →
dust2	13–6	-0.05	11%	26 Jul →
dust2	1–9	-0.02	23%	23 Jul →
nuke	7–13	-0.10	20%	23 Jul →
dust2	10–13	-0.01	23%	22 Jul →
dust2	1–6	0.08	50%	22 Jul →
cache	11–13	0.03	25%	22 Jul →
dust2	12–12	0.07	25%	20 Jul →
dust2	6–0	0.11	10%	20 Jul →
cache	0–3	-0.02	20%	20 Jul →
train	13–10	0.01	15%	20 Jul →
dust2	13–1	0.12	37%	20 Jul →
dust2	5–13	-0.04	28%	20 Jul →
inferno	2–9	-0.29	0%	19 Jul →
mirage	12–12	-0.06	13%	18 Jul →
dust2	9–13	0.00	25%	18 Jul →
eldorado	2–9	-0.12	0%	16 Jul →
inferno	8–8	-0.08	21%	16 Jul →
debris	9–6	-0.08	12%	16 Jul →
debris	9–1	0.11	12%	15 Jul →
debris	7–9	-0.01	14%	15 Jul →
eldorado	9–3	0.06	30%	15 Jul →
poseidon	4–9	-0.07	18%	15 Jul →
mirage	9–13	-0.06	21%	13 Jul →
train	13–7	0.02	24%	12 Jul →
nuke	13–1	-0.01	29%	12 Jul →
cache	13–10	-0.09	24%	11 Jul →
cache	5–0	-0.07	25%	11 Jul →
anubis	1–6	0.03	20%	11 Jul →
dust2	13–8	-0.03	19%	10 Jul →
dust2	2–13	-0.03	47%	10 Jul →
train	13–1	0.04	15%	10 Jul →
dust2	13–11	-0.00	32%	9 Jul →
mirage	1–13	-0.04	14%	9 Jul →
inferno	13–3	0.03	17%	9 Jul →
anubis	13–0	0.01	25%	8 Jul →
ancient	4–13	-0.11	19%	8 Jul →
mirage	11–13	-0.02	23%	8 Jul →
dust2	3–13	-0.05	0%	8 Jul →
dust2	13–11	-0.03	21%	6 Jul →
nuke	4–13	-0.12	18%	2 Jul →
dust2	13–10	-0.02	17%	2 Jul →
dust2	7–13	-0.04	21%	1 Jul →