Nickuluss — CS2 Stats

US76561198069093235[U:1:108827507]Steam profile ↗✓ No bans

440Tracked matches52%Win rate2023Tracked since

201Hours in CS

CSDB Rating4.1 Developing

Ladder ranks via Leetify

Performance scores

Aim38

Positioning54

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateWLWWWLLLLW

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

Player DNA

Aim3.8

Aggression8.2

Utility3.9

Positioning5.4

Opening Duels4.5

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 82% playstyle similarity

Most alike: opening-duel success, 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 57% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8

Positioning5.4

Utility3.9

Mechanics1.6

Opening Duels4.5

Win Impact5.6

Composite 4.1/10 (Developing), 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 rating0.03+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time607ms−58ms

first ⅓ avg 664ms → last ⅓ avg 607ms

Headshot accuracy11.5%+0.4%

first ⅓ avg 11.1% → last ⅓ avg 11.5%

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

0.31Best rating — nuke 9–2

13–0Biggest win — train

4Longest win streak

10–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

trainBest map · 67% over 6anubisWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	25	9–16	36%	0.01
dust2	A	18	10–8	56%	0.03
ancient	C	17	7–10	41%	-0.00
cache	A	8	5–3	63%	0.03
overpass	D	6	1–5	17%	-0.00
train	S	6	4–2	67%	0.03
mirage	A	5	3–2	60%	0.03
anubis	D	5	0–5	0%	-0.01
inferno	—	3	1–2	33%	-0.00
stronghold	—	1	1–0	100%	0.05
alpine	—	1	0–1	0%	-0.06
warden	—	1	1–0	100%	-0.08
golden	—	1	1–0	100%	0.18
grail	—	1	1–0	100%	-0.02
italy	—	1	0–1	0%	-0.00
basalt	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,787Lifetime kills

1.07K/D · Top 50% of tracked players

548Matches

43.4%Match win rate

40.5%Headshot %

2.0%Shot accuracy

1,108MVPs

201Hours (in match)

422Bombs planted

113Bombs defused

Most-used weapons

AK-472,393

M4A4 / M4A1-S1,647

AWP937

XM1014846

P2000 / USP-S604

Glock-18482

Desert Eagle339

MP9332

MAC-10313

Negev208

Lifetime map wins

1,196nuke

563vertigo

461dust2

335inferno

203train

63office

19cbble

12italy

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.

11.1%Headshot accuracy

36.2%Accuracy (enemy spotted)

33.8%Spray accuracy

57.1%Counter-strafing

10.8°Preaim

602msReaction time

39.3%T opening success

56.8%CT opening success

0.60Enemies flashed / flash

3.4%Flash assists

6.21HE damage / grenade

7.90Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.0998% — below the 15% mark we flag
Aim Training →
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 39.2906% — 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.

0% win rate across 5 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
cache	13–8	-0.03	18%	2 Aug →
dust2	5–13	-0.02	9%	16 Jul →
dust2	13–11	-0.01	5%	16 Jul →
ancient	13–8	-0.00	16%	14 Jul →
cache	13–8	0.03	13%	10 Jul →
inferno	7–9	-0.02	11%	20 Jun →
dust2	8–13	0.09	19%	20 Jun →
nuke	8–13	-0.03	15%	18 Jun →
cache	2–10	0.05	18%	18 Jun →
dust2	13–8	0.04	20%	17 Jun →
dust2	13–6	0.02	5%	17 Jun →
mirage	13–11	0.02	10%	17 Jun →
nuke	6–13	0.05	5%	17 Jun →
mirage	0–13	-0.04	10%	16 Jun →
dust2	15–15	0.04	21%	15 Jun →
nuke	2–9	-0.02	16%	15 Jun →
dust2	13–7	0.10	14%	15 Jun →
ancient	9–13	0.00	7%	15 Jun →
nuke	11–13	-0.05	6%	14 Jun →
ancient	16–13	0.03	6%	14 Jun →
mirage	5–13	-0.03	7%	13 Jun →
mirage	13–11	0.05	11%	13 Jun →
overpass	16–14	0.15	9%	13 Jun →
dust2	13–11	-0.00	15%	13 Jun →
anubis	8–13	-0.01	0%	13 Jun →
mirage	13–2	0.15	18%	13 Jun →
dust2	13–2	0.09	9%	13 Jun →
dust2	13–8	0.08	4%	12 Jun →
dust2	14–16	0.05	12%	12 Jun →
ancient	9–13	-0.03	12%	12 Jun →
dust2	11–13	0.03	8%	11 Jun →
dust2	13–11	0.02	20%	11 Jun →
cache	13–10	0.10	12%	10 Jun →
ancient	8–13	-0.09	13%	10 Jun →
nuke	10–13	0.05	9%	8 Jun →
cache	13–7	0.07	22%	25 May →
cache	5–13	-0.03	9%	20 May →
dust2	7–13	0.01	17%	19 May →
cache	12–12	0.04	18%	3 May →
cache	11–6	-0.01	15%	3 May →
overpass	7–13	-0.05	7%	26 Apr →
anubis	6–13	0.03	16%	26 Apr →
nuke	2–13	-0.06	0%	26 Apr →
nuke	1–13	-0.09	17%	15 Apr →
nuke	9–13	0.00	16%	15 Apr →
nuke	6–13	-0.01	13%	4 Apr →
nuke	13–11	-0.08	9%	22 Mar →
stronghold	13–9	0.05	16%	21 Mar →
nuke	13–6	-0.04	14%	3 Mar →
anubis	2–13	-0.08	4%	3 Mar →
nuke	13–6	0.03	20%	26 Feb →
ancient	13–9	0.03	10%	23 Feb →
nuke	13–6	0.00	21%	22 Feb →
dust2	11–13	-0.06	15%	21 Feb →
anubis	10–13	0.05	18%	14 Feb →
ancient	5–13	0.02	18%	14 Feb →
alpine	1–13	-0.06	7%	26 Jan →
warden	13–10	-0.08	6%	26 Jan →
overpass	15–15	-0.07	25%	12 Jan →
train	8–13	0.01	13%	15 Nov →
nuke	10–13	0.00	6%	15 Nov →
nuke	10–13	0.01	8%	15 Nov →
ancient	16–14	0.04	10%	15 Nov →
ancient	5–13	-0.04	9%	15 Nov →
train	10–13	0.03	17%	15 Nov →
overpass	10–13	-0.03	14%	14 Nov →
nuke	16–14	-0.01	12%	12 Nov →
overpass	10–13	0.02	23%	12 Nov →
train	13–7	-0.05	4%	11 Nov →
nuke	16–13	0.02	11%	11 Nov →
nuke	13–8	0.05	5%	11 Nov →
ancient	13–4	0.07	13%	10 Nov →
overpass	7–13	-0.02	3%	10 Nov →
golden	13–5	0.18	16%	9 Nov →
ancient	15–15	-0.00	16%	7 Nov →
nuke	5–13	-0.05	19%	17 Jul →
nuke	9–2	0.31	10%	13 Jul →
dust2	13–2	0.08	5%	29 Jun →
ancient	0–6	-0.03	8%	29 Jun →
train	13–6	0.05	17%	24 Jun →
grail	4–0	-0.02	0%	24 Jun →
dust2	16–12	-0.06	12%	12 Jun →
nuke	7–4	-0.03	7%	6 Jun →
ancient	8–13	-0.02	27%	31 May →
italy	7–13	-0.00	11%	26 May →
nuke	9–13	0.00	6%	19 May →
nuke	8–8	0.12	14%	12 May →
inferno	6–13	0.01	14%	5 May →
train	13–6	0.03	8%	5 May →
train	13–0	0.11	16%	5 May →
ancient	13–7	-0.01	19%	5 May →
basalt	13–11	-0.00	12%	19 Apr →
nuke	14–16	0.03	11%	13 Apr →
nuke	11–13	0.03	9%	11 Apr →
dust2	11–13	0.07	16%	9 Apr →
inferno	13–1	0.00	6%	9 Apr →
ancient	5–13	-0.05	2%	9 Apr →
anubis	7–13	-0.01	4%	3 Apr →
ancient	13–7	-0.01	13%	2 Apr →
ancient	12–12	-0.00	10%	1 Apr →