nilb0g — CS2 Stats

76561198112302806[U:1:152037078]Steam profile ↗

320Tracked matches60%Win rate2022Tracked since

1,131Hours in CS6Hrs last 2 wks

CSDB Rating4.4 Developing

Ladder ranks via Leetify

Performance scores

Aim39

Positioning38

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLWLWWLWWLL

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Aim3.9

Aggression3.4

Utility3.2

Positioning3.8

Opening Duels0.0

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 72% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 38% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 668ms 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

Aim3.9

Positioning3.8

Utility3.2

Mechanics6.8

Opening Duels1.0

Win Impact8.3

Composite 4.4/10 (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 rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time664ms+17ms

first ⅓ avg 647ms → last ⅓ avg 664ms

Headshot accuracy12.2%−3.9%

first ⅓ avg 16.1% → last ⅓ avg 12.2%

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

0.13Best rating — vertigo 13–3

13–1Biggest win — train

9Longest win streak

8–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 80% over 5mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	17	8–9	47%	-0.02
train	A	13	8–5	62%	0.01
dust2	D	12	3–9	25%	-0.02
ancient	B	10	5–5	50%	0.01
inferno	A	9	5–4	56%	0.01
nuke	D	8	2–6	25%	-0.04
overpass	D	8	2–6	25%	-0.02
anubis	S	5	4–1	80%	-0.04
mirage	D	5	1–4	20%	-0.02
boulder	—	4	2–2	50%	-0.02
office	—	4	2–2	50%	-0.03
vertigo	—	3	2–1	67%	0.02
fachwerk	—	1	1–0	100%	-0.02
alpine	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,630Lifetime kills

0.77K/D

2,027Matches

33.1%Match win rate

33.3%Headshot %

12.8%Shot accuracy · Top 50% of tracked players

2,076MVPs

658Hours (in match)

1,785Bombs planted

267Bombs defused

Most-used weapons

AK-478,373

M4A4 / M4A1-S6,460

AWP2,029

P2000 / USP-S1,227

P901,034

Glock-181,024

Tec-9951

FAMAS815

MP9781

Galil AR774

Lifetime map wins

3,923dust2

1,371inferno

1,080nuke

794train

164office

140cbble

52vertigo

43militia

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.

11.8%Headshot accuracy

31.0%Accuracy (enemy spotted)

35.3%Spray accuracy

80.7%Counter-strafing

12.3°Preaim

668msReaction time

20.5%T opening success

38.3%CT opening success

0.43Enemies flashed / flash

3.3%Flash assists

6.31HE damage / grenade

4.04Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3311° — above the 12° mark we flag
Aim Training →
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 11.7976% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4311 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	2–3	-0.04	12%	29 Aug →
anubis	13–11	-0.04	11%	29 Aug →
cache	6–13	0.01	16%	29 Aug →
ancient	13–8	0.04	8%	24 Aug →
cache	13–5	-0.01	19%	16 Aug →
boulder	6–13	-0.07	9%	16 Aug →
nuke	13–8	0.00	12%	16 Aug →
overpass	13–7	0.01	11%	16 Aug →
train	4–13	-0.02	15%	16 Aug →
office	9–13	-0.05	10%	14 Aug →
train	4–13	-0.04	10%	14 Aug →
train	13–10	-0.02	13%	11 Aug →
anubis	13–11	-0.06	7%	11 Aug →
dust2	11–13	-0.03	18%	11 Aug →
nuke	11–13	-0.07	16%	11 Aug →
fachwerk	13–11	-0.02	18%	6 Aug →
boulder	10–13	-0.01	3%	6 Aug →
train	13–3	0.07	16%	6 Aug →
anubis	13–10	-0.07	4%	18 Jul →
inferno	13–11	-0.06	13%	18 Jul →
cache	13–9	-0.03	13%	18 Jul →
nuke	13–10	-0.04	8%	18 Jul →
cache	13–11	-0.03	13%	18 Jul →
ancient	13–11	-0.06	4%	18 Jul →
boulder	13–9	-0.06	6%	18 Jul →
boulder	13–5	0.04	9%	13 Jul →
ancient	8–13	-0.05	15%	13 Jul →
cache	16–12	-0.02	14%	13 Jul →
nuke	0–8	0.01	8%	13 Jun →
inferno	7–13	0.02	25%	13 Jun →
cache	4–13	-0.01	24%	13 Jun →
inferno	13–9	-0.01	20%	6 Jun →
ancient	13–3	0.07	4%	6 Jun →
cache	12–12	0.01	12%	6 Jun →
dust2	7–13	-0.02	19%	6 Jun →
mirage	4–13	-0.01	29%	20 May →
overpass	11–13	-0.03	13%	20 May →
train	13–3	0.05	20%	20 May →
cache	6–13	-0.11	11%	20 May →
office	7–13	-0.07	18%	20 May →
cache	13–7	0.03	29%	20 May →
cache	13–6	-0.01	13%	20 May →
cache	13–3	0.02	12%	7 May →
cache	12–12	-0.01	22%	7 May →
cache	13–6	-0.05	7%	7 May →
train	3–13	-0.02	16%	2 May →
cache	11–13	-0.01	15%	2 May →
office	13–11	-0.07	13%	2 May →
cache	12–12	-0.01	6%	2 May →
cache	1–13	-0.04	20%	2 May →
cache	8–13	0.00	22%	2 May →
dust2	9–13	-0.03	12%	20 Feb →
overpass	13–9	-0.02	10%	20 Feb →
nuke	5–13	-0.09	12%	20 Feb →
train	13–11	-0.02	13%	17 Feb →
vertigo	13–3	0.13	13%	17 Feb →
dust2	10–13	-0.02	13%	17 Feb →
vertigo	13–10	0.00	12%	17 Feb →
ancient	7–13	-0.02	4%	14 Feb →
train	13–10	0.05	10%	14 Feb →
dust2	8–13	-0.07	11%	14 Feb →
train	13–3	0.02	8%	14 Feb →
mirage	6–13	-0.05	9%	14 Feb →
anubis	3–13	-0.04	10%	14 Feb →
vertigo	2–13	-0.08	12%	14 Feb →
overpass	3–13	-0.06	14%	13 Feb →
alpine	8–13	-0.05	16%	13 Feb →
anubis	13–10	0.03	26%	13 Feb →
inferno	9–13	-0.02	15%	13 Feb →
ancient	2–13	-0.04	16%	12 Feb →
dust2	13–8	0.05	14%	12 Feb →
inferno	10–13	-0.00	7%	12 Feb →
inferno	2–7	0.00	0%	1 Dec →
overpass	7–13	-0.05	27%	1 Dec →
overpass	8–13	0.00	0%	1 Dec →
dust2	2–13	-0.09	13%	30 Nov →
inferno	13–5	0.06	18%	21 Nov →
train	13–6	0.01	11%	21 Nov →
nuke	10–13	-0.06	13%	21 Nov →
mirage	2–13	-0.02	35%	21 Nov →
nuke	2–13	-0.09	22%	16 Nov →
ancient	13–5	0.10	16%	16 Nov →
dust2	11–13	0.00	17%	16 Nov →
ancient	13–5	0.01	12%	16 Nov →
dust2	13–7	0.04	20%	16 Nov →
mirage	13–16	-0.02	14%	15 Nov →
inferno	13–4	0.05	18%	15 Nov →
inferno	13–8	0.03	15%	15 Nov →
overpass	12–12	0.01	16%	15 Nov →
mirage	13–3	0.01	33%	15 Nov →
train	10–13	0.03	7%	15 Nov →
nuke	5–13	-0.02	13%	15 Nov →
ancient	5–13	-0.01	18%	15 Nov →
train	13–1	0.04	15%	27 Oct →
office	13–2	0.07	22%	27 Oct →
dust2	14–16	0.00	12%	11 Oct →
ancient	13–16	0.01	16%	11 Oct →
dust2	7–13	-0.01	14%	11 Oct →
overpass	9–13	0.00	12%	11 Oct →
dust2	13–9	-0.01	25%	11 Oct →