nykläckt — CS2 Stats

SE76561199205164019[U:1:1244898291]Steam profile ↗

3,515Tracked matches77%Win rate2021Tracked since

7,040Hours in CS23Hrs last 2 wks

CSDB Rating8.1 StrongEntry Fragger

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim92

Positioning75

Utility58

0–100 skill scores via Leetify.

Recent form

HOT59–41Last 10059%Win rateWWWWWWWLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.2

Aggression10.0

Utility5.8

Positioning7.5

Opening Duels7.2

Clutch4.2

Sharp aimerStrong CT-side openerLimited utility dependence

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 s1mple 97% playstyle similarity

Most alike: opening-fight frequency, 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 92 — the mechanical foundation is a clear strength.

CT openings. 75% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 75% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.2

Positioning7.5

Utility5.8

Mechanics8.0

Opening Duels6.6

Win Impact10.0

Composite 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time508ms−107ms

first ⅓ avg 614ms → last ⅓ avg 508ms

Headshot accuracy25.2%−1.9%

first ⅓ avg 27.1% → last ⅓ avg 25.2%

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

0.19Best rating — ancient 13–3

13–1Biggest win — mirage

8Longest win streak

W7Current streak

9–1In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 67% over 42anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	42	28–14	67%	0.03
vertigo	S	20	13–7	65%	0.04
ancient	B	15	7–8	47%	0.05
anubis	D	10	2–8	20%	0.02
cache	—	4	2–2	50%	0.05
inferno	—	3	3–0	100%	0.07
nuke	—	3	1–2	33%	-0.00
dust2	—	2	2–0	100%	0.11
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

467,776Lifetime kills

1.52K/D · Top 5% of tracked players

13,274Matches

70.6%Match win rate · Top 5% of tracked players

45.5%Headshot %

11.4%Shot accuracy

38,336MVPs

9,023Hours (in match)

5,860Bombs planted

3,507Bombs defused

Most-used weapons

AK-47215,688

M4A4 / M4A1-S77,475

P2000 / USP-S44,683

AWP28,450

P25027,125

Desert Eagle18,869

Glock-189,636

Knife8,948

Galil AR5,698

MP95,470

Lifetime map wins

19,630vertigo

7,597inferno

4,403nuke

3,040dust2

1,879train

179cbble

123office

48italy

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

Faceit stats

Combat

1,978Matches

55%Win rate

1.22Avg K/D

86.0ADR

52%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	260	56%	1.14	16.9
Ancient	231	57%	1.21	17.4
Anubis	155	52%	1.16	16.8
Vertigo	86	70%	1.30	18.3
Nuke	54	52%	1.13	15.7
Inferno	32	53%	1.23	17.8
Dust2	28	36%	1.15	16.1
Train	13	77%	1.41	19.1

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.

24.9%Headshot accuracy

38.4%Accuracy (enemy spotted)

39.6%Spray accuracy

85.9%Counter-strafing

8.0°Preaim

516msReaction time

42.5%T opening success

74.9%CT opening success

0.63Enemies flashed / flash

11.0%Flash assists

9.90HE damage / grenade

4.75Flashes / match

Recommended for you

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.

20% win rate across 10 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
vertigo	13–11	0.16	19%	24 Aug →
vertigo	13–6	0.07	28%	24 Aug →
dust2	13–9	0.15	33%	23 Aug →
ancient	13–3	0.04	13%	23 Aug →
mirage	13–11	0.01	32%	23 Aug →
mirage	13–1	-0.06	23%	23 Aug →
mirage	13–5	0.05	31%	23 Aug →
vertigo	5–13	-0.04	24%	23 Aug →
mirage	13–10	0.04	23%	22 Aug →
mirage	13–6	0.07	22%	22 Aug →
inferno	13–6	0.05	20%	22 Aug →
vertigo	13–8	0.10	18%	21 Aug →
cache	13–5	0.06	34%	21 Aug →
vertigo	13–11	0.05	24%	21 Aug →
train	13–9	0.06	22%	20 Aug →
ancient	13–11	0.04	28%	20 Aug →
ancient	8–13	0.08	23%	20 Aug →
dust2	13–7	0.06	46%	20 Aug →
mirage	8–13	-0.01	18%	20 Aug →
mirage	11–13	0.00	24%	19 Aug →
mirage	13–10	0.03	21%	18 Aug →
mirage	13–4	0.15	17%	16 Aug →
vertigo	10–13	0.04	18%	16 Aug →
mirage	8–13	0.13	35%	16 Aug →
vertigo	13–8	0.02	30%	16 Aug →
vertigo	13–8	0.02	37%	16 Aug →
inferno	13–10	0.02	19%	16 Aug →
mirage	13–10	0.02	23%	16 Aug →
mirage	13–10	0.08	21%	15 Aug →
anubis	5–13	-0.01	20%	15 Aug →
nuke	8–13	-0.01	21%	15 Aug →
anubis	10–13	-0.02	26%	15 Aug →
cache	8–13	0.01	38%	14 Aug →
mirage	13–6	-0.01	15%	14 Aug →
ancient	6–13	-0.01	16%	14 Aug →
mirage	13–11	0.08	39%	14 Aug →
nuke	8–13	-0.04	26%	14 Aug →
mirage	13–8	0.02	38%	13 Aug →
mirage	9–13	-0.03	13%	13 Aug →
anubis	13–5	0.09	18%	13 Aug →
vertigo	9–13	0.04	9%	13 Aug →
ancient	9–13	-0.03	16%	13 Aug →
inferno	13–7	0.14	21%	12 Aug →
anubis	8–13	0.03	15%	12 Aug →
ancient	10–13	0.00	17%	12 Aug →
mirage	6–13	0.01	26%	12 Aug →
anubis	8–13	-0.01	26%	12 Aug →
mirage	13–7	0.02	16%	12 Aug →
mirage	12–1	0.04	15%	12 Aug →
mirage	8–13	0.05	31%	11 Aug →
vertigo	13–10	0.03	23%	11 Aug →
mirage	13–16	0.03	17%	11 Aug →
ancient	13–16	0.02	24%	11 Aug →
mirage	13–9	0.10	37%	11 Aug →
ancient	13–3	0.19	27%	11 Aug →
vertigo	13–4	0.11	32%	11 Aug →
mirage	13–1	-0.01	26%	11 Aug →
vertigo	13–8	0.08	25%	10 Aug →
vertigo	12–16	0.01	19%	10 Aug →
mirage	9–13	0.04	21%	9 Aug →
mirage	13–4	0.03	15%	9 Aug →
vertigo	16–14	0.06	24%	9 Aug →
ancient	10–13	-0.02	11%	9 Aug →
mirage	16–13	0.06	17%	8 Aug →
anubis	13–1	0.07	20%	8 Aug →
mirage	13–5	0.04	26%	8 Aug →
mirage	13–1	-0.07	21%	8 Aug →
mirage	13–9	0.07	24%	8 Aug →
mirage	7–13	-0.03	24%	8 Aug →
vertigo	8–13	-0.00	30%	8 Aug →
mirage	9–13	-0.02	34%	8 Aug →
ancient	10–13	0.13	15%	7 Aug →
ancient	13–9	0.12	27%	7 Aug →
anubis	8–13	0.05	23%	7 Aug →
ancient	13–3	0.06	16%	7 Aug →
cache	13–9	0.09	27%	7 Aug →
vertigo	7–13	-0.02	22%	7 Aug →
mirage	13–7	0.14	34%	7 Aug →
vertigo	13–9	0.03	19%	7 Aug →
mirage	9–13	0.05	31%	7 Aug →
mirage	13–10	0.00	24%	7 Aug →
ancient	13–7	0.04	28%	7 Aug →
mirage	13–4	-0.03	33%	7 Aug →
anubis	1–13	-0.01	19%	7 Aug →
mirage	13–10	0.05	31%	5 Aug →
mirage	19–17	0.04	31%	5 Aug →
ancient	13–11	0.04	28%	5 Aug →
mirage	13–16	0.02	27%	5 Aug →
mirage	13–11	-0.00	31%	5 Aug →
vertigo	13–5	0.12	30%	4 Aug →
mirage	5–13	-0.06	42%	4 Aug →
anubis	5–13	0.01	45%	4 Aug →
ancient	5–13	0.04	20%	4 Aug →
mirage	13–6	0.06	34%	4 Aug →
nuke	13–4	0.03	32%	4 Aug →
vertigo	2–13	-0.04	21%	4 Aug →
cache	10–13	0.03	22%	4 Aug →
mirage	7–13	-0.06	17%	4 Aug →
anubis	3–13	-0.02	26%	4 Aug →
vertigo	22–19	0.00	28%	4 Aug →