dnilss — CS2 Stats

US76561198188086175[U:1:227820447]Steam profile ↗

1,267Tracked matches64%Win rate2020Tracked since

2,121Hours in CS12Hrs last 2 wks

CSDB Rating6.3 SolidPassive Rifler

Premier CS Rating22,722Top 50% of 819 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#5783 of 21256 tracked

FaceitLevel 6 · 1,428 ELOTop 54.0% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning42

Utility48

0–100 skill scores via Leetify.

Recent form

COLD56–37–7Last 10056%Win rateWTLLWLLLWL

Last 10 vs previous 10: -50pp win rate · -0.07 avg rating

Player DNA

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

Aim7.7

Aggression2.7

Utility4.8

Positioning4.2

Opening Duels1.0

Clutch4.8

Strong 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 NiKo 84% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; lower opening-fight frequency.

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.

T-side openings. Opening success drops from 50% on CT to 18% 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

Positioning4.2

Utility4.8

Mechanics7.3

Opening Duels2.5

Win Impact9.8

Composite 6.3/10 (Solid), 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 rating-0.00−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time588ms−69ms

first ⅓ avg 657ms → last ⅓ avg 588ms

Headshot accuracy17.2%+0.9%

first ⅓ avg 16.3% → last ⅓ avg 17.2%

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

0.12Best rating — inferno 13–3

13–1Biggest win — cache

5Longest win streak

8–11In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 100% over 5nukeWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	14–15	48%	-0.00
dust2	S	19	13–6	68%	-0.01
cache	B	18	9–9	50%	-0.00
inferno	S	12	8–4	67%	0.00
nuke	C	8	3–5	38%	-0.00
overpass	C	7	3–4	43%	-0.02
ancient	S	5	5–0	100%	-0.01
anubis	—	1	1–0	100%	-0.02
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,623Lifetime kills

1.24K/D · Top 50% of Pink band

3,047Matches

49.9%Match win rate · Top 25% of Pink band

39.6%Headshot %

15.3%Shot accuracy · Top 50% of Pink band

10,467MVPs

1,174Hours (in match)

2,891Bombs planted

1,081Bombs defused

Most-used weapons

AK-4720,230

M4A4 / M4A1-S10,376

AWP5,665

P2000 / USP-S4,119

Glock-182,925

Desert Eagle1,799

Galil AR1,202

P2501,199

P901,016

Knife993

Lifetime map wins

6,784dust2

4,898inferno

1,484nuke

1,193train

1,023cbble

787vertigo

124dust

121italy

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

Faceit stats

Combat

303Matches

54%Win rate

1.14Avg K/D

80.3ADR

46%Headshot %

Clutches & streaks

44%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	26	65%	1.01	13.3
Mirage	23	61%	1.38	17.0
Nuke	17	47%	1.09	15.0
Inferno	16	62%	1.23	15.3
Train	8	100%	1.38	18.8
Ancient	5	20%	0.92	12.8
Overpass	5	60%	1.23	15.4
Cache	3	0%	0.78	13.0

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.

17.7%Headshot accuracy

36.8%Accuracy (enemy spotted)

40.0%Spray accuracy

82.7%Counter-strafing

9.9°Preaim

577msReaction time

18.1%T opening success

50.1%CT opening success

0.61Enemies flashed / flash

4.5%Flash assists

11.87HE damage / grenade

4.98Flashes / 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 18.0687% — 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.

38% win rate across 8 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	13–10	-0.04	11%	28 Aug →
mirage	15–15	-0.05	21%	27 Aug →
cache	5–13	0.03	21%	23 Aug →
nuke	7–13	-0.02	18%	23 Aug →
anubis	13–6	-0.02	18%	23 Aug →
inferno	8–13	-0.02	17%	23 Aug →
cache	7–13	-0.05	15%	20 Aug →
mirage	5–13	-0.08	18%	20 Aug →
dust2	13–11	-0.05	26%	19 Aug →
nuke	6–13	-0.05	12%	19 Aug →
inferno	13–10	-0.03	15%	18 Aug →
dust2	13–10	-0.05	19%	17 Aug →
cache	13–9	0.06	29%	16 Aug →
mirage	13–5	0.02	11%	16 Aug →
overpass	13–5	0.10	20%	16 Aug →
nuke	6–13	0.00	5%	15 Aug →
inferno	12–12	0.00	31%	15 Aug →
ancient	13–8	-0.01	16%	15 Aug →
dust2	13–3	0.12	18%	15 Aug →
mirage	13–9	0.10	22%	15 Aug →
cache	13–8	0.02	21%	15 Aug →
mirage	9–13	0.05	10%	13 Aug →
nuke	13–5	0.02	22%	13 Aug →
cache	13–7	0.02	13%	12 Aug →
inferno	11–13	-0.04	12%	8 Aug →
mirage	13–8	0.01	30%	8 Aug →
cache	13–8	0.01	11%	8 Aug →
inferno	13–8	-0.05	14%	3 Aug →
mirage	13–7	0.02	20%	3 Aug →
mirage	11–13	-0.05	12%	2 Aug →
dust2	13–8	-0.03	17%	29 Jul →
mirage	11–13	-0.08	10%	29 Jul →
cache	13–11	-0.02	14%	27 Jul →
train	6–13	-0.03	29%	27 Jul →
nuke	13–11	0.08	18%	26 Jul →
inferno	13–11	0.01	11%	23 Jul →
cache	11–13	-0.02	28%	16 Jul →
mirage	3–13	-0.06	18%	12 Jul →
cache	5–13	-0.03	16%	10 Jul →
mirage	6–13	-0.03	13%	10 Jul →
dust2	13–3	0.08	16%	6 Jul →
mirage	0–4	-0.08	0%	26 Jun →
ancient	13–10	-0.04	24%	25 Jun →
dust2	13–2	0.03	17%	24 Jun →
cache	11–13	-0.05	17%	24 Jun →
dust2	14–16	-0.06	14%	17 Jun →
dust2	13–2	0.04	26%	10 Jun →
mirage	7–13	0.02	14%	10 Jun →
dust2	13–5	-0.03	25%	4 Jun →
inferno	13–6	0.02	19%	3 Jun →
dust2	7–13	-0.07	31%	27 May →
dust2	8–13	-0.07	17%	27 May →
mirage	13–4	0.08	25%	27 May →
mirage	12–12	-0.08	12%	26 May →
cache	13–8	0.04	24%	26 May →
dust2	13–3	0.00	16%	21 May →
dust2	13–9	-0.05	14%	19 May →
ancient	13–9	-0.04	11%	17 May →
mirage	13–7	-0.03	25%	15 May →
cache	4–13	-0.06	26%	14 May →
cache	13–9	0.01	27%	13 May →
inferno	11–13	-0.04	18%	13 May →
dust2	9–13	-0.01	19%	12 May →
nuke	7–13	-0.06	11%	12 May →
mirage	15–15	-0.05	5%	12 May →
mirage	9–13	-0.03	21%	7 May →
ancient	13–8	0.06	15%	7 May →
inferno	13–8	-0.00	18%	4 May →
mirage	13–10	0.07	20%	4 May →
overpass	8–13	-0.04	11%	3 May →
overpass	3–1	-0.09	0%	3 May →
cache	4–13	-0.03	22%	3 May →
ancient	13–5	-0.02	20%	3 May →
cache	10–13	0.05	14%	2 May →
overpass	13–5	-0.02	13%	2 May →
dust2	13–7	0.08	9%	1 May →
cache	3–13	-0.05	28%	30 Apr →
cache	13–1	0.07	21%	30 Apr →
cache	13–8	-0.05	20%	30 Apr →
mirage	13–6	0.06	16%	28 Apr →
dust2	12–12	-0.01	22%	28 Apr →
mirage	13–11	-0.02	22%	19 Apr →
dust2	15–15	-0.09	15%	15 Apr →
inferno	13–11	-0.01	9%	13 Apr →
nuke	10–13	0.02	15%	12 Apr →
mirage	13–2	0.08	12%	12 Apr →
mirage	13–6	-0.04	20%	8 Apr →
dust2	13–2	0.02	24%	7 Apr →
nuke	13–10	-0.02	17%	7 Apr →
mirage	3–13	0.06	18%	7 Apr →
inferno	13–3	0.12	14%	5 Apr →
mirage	11–13	-0.03	14%	5 Apr →
mirage	13–11	-0.03	15%	5 Apr →
overpass	12–12	0.02	20%	27 Mar →
mirage	11–13	-0.01	8%	27 Mar →
mirage	13–10	0.01	28%	17 Mar →
inferno	13–6	0.05	20%	16 Mar →
mirage	13–4	0.05	10%	7 Mar →
overpass	11–13	-0.01	11%	7 Mar →
overpass	11–13	-0.08	14%	3 Mar →