ND — CS2 Stats

76561198161392645[U:1:201126917]

1,044Tracked matches54%Win rate2024Tracked since

690Hours in CS

CSDB Rating4.6 Developing

FaceitLevel 5 · 795 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 5 median	Level 6 median	vs Level 6
Headshot rate	40.6%	44.2%	44.9%	4.3% short
Shot accuracy	0.5%	11.2%	11.8%	11.3% short
Kill/death ratio	0.89	1.04	1.04	0.16 short
Match win rate	43.4%	45.3%	45.3%	1.9% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim54

Positioning43

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–42–10Last 10048%Win rateWWWLTLWTLL

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

Player DNA

Aim5.4

Aggression5.4

Utility5.2

Positioning4.3

Opening Duels1.7

Clutch0.0

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 85% playstyle similarity

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

Where you differ: lower positioning profile; 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

Reaction time. 635ms 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

Aim5.4

Positioning4.3

Utility5.2

Mechanics7.2

Opening Duels1.7

Win Impact6.2

Composite 4.6/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time641ms−52ms

first ⅓ avg 693ms → last ⅓ avg 641ms

Headshot accuracy16.3%+0.0%

first ⅓ avg 16.3% → last ⅓ avg 16.3%

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 — nuke 6–0

13–0Biggest win — dust2

4Longest win streak

W3Current streak

7–8In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	13–13	50%	-0.02
inferno	C	18	8–10	44%	0.01
nuke	A	17	10–7	59%	0.01
mirage	C	14	6–8	43%	-0.01
ancient	D	8	2–6	25%	-0.01
cache	B	8	4–4	50%	0.03
anubis	S	6	4–2	67%	-0.01
train	—	3	1–2	33%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,798Lifetime kills

0.89K/D

1,910Matches

43.4%Match win rate

40.6%Headshot %

0.5%Shot accuracy

3,773MVPs

690Hours (in match)

890Bombs planted

362Bombs defused

Most-used weapons

AK-477,210

M4A4 / M4A1-S4,603

AWP2,130

MAC-102,035

MP91,618

P2000 / USP-S1,483

Glock-181,145

Galil AR1,077

Desert Eagle900

Tec-9721

Lifetime map wins

7,124dust2

2,263nuke

2,107inferno

668train

125vertigo

50office

28italy

7ar_shoots

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

Faceit stats

Combat

10Matches

30%Win rate

0.74Avg K/D

67.1ADR

38%Headshot %

Clutches & streaks

20%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	0%	0.74	15.0
Ancient	2	50%	0.92	14.5
Inferno	2	50%	0.90	8.5
Dust2	1	0%	0.36	9.0
Anubis	1	100%	0.43	6.0

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.

16.7%Headshot accuracy

30.9%Accuracy (enemy spotted)

32.6%Spray accuracy

82.5%Counter-strafing

10.4°Preaim

635msReaction time

43.0%T opening success

30.7%CT opening success

0.50Enemies flashed / flash

7.2%Flash assists

6.97HE damage / grenade

9.24Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 30.7088% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.00	17%	29 Aug →
ancient	13–3	0.00	30%	29 Aug →
ancient	13–11	0.03	19%	29 Aug →
mirage	9–13	-0.04	11%	29 Aug →
cache	12–12	-0.07	17%	27 Aug →
mirage	1–13	0.05	17%	22 Aug →
dust2	13–1	0.04	25%	22 Aug →
inferno	12–12	0.01	26%	22 Aug →
mirage	3–13	-0.01	17%	22 Aug →
cache	5–13	0.06	13%	22 Aug →
dust2	13–11	0.02	16%	22 Aug →
inferno	11–13	0.03	12%	21 Aug →
dust2	13–9	-0.07	7%	21 Aug →
nuke	10–13	-0.08	9%	20 Aug →
inferno	3–13	-0.04	18%	14 Aug →
dust2	11–13	-0.07	6%	14 Aug →
inferno	13–9	-0.00	12%	14 Aug →
dust2	7–13	-0.04	25%	14 Aug →
inferno	13–10	0.05	24%	8 Aug →
nuke	13–11	-0.05	13%	6 Aug →
inferno	13–3	0.12	10%	6 Aug →
dust2	6–13	-0.05	19%	6 Aug →
nuke	10–13	-0.00	15%	3 Aug →
inferno	13–5	0.03	16%	2 Aug →
nuke	13–3	-0.00	17%	2 Aug →
nuke	13–9	-0.01	25%	2 Aug →
dust2	13–8	0.01	17%	31 Jul →
cache	4–13	-0.01	18%	31 Jul →
dust2	13–6	-0.05	21%	26 Jul →
anubis	6–13	-0.08	19%	25 Jul →
dust2	11–13	-0.07	9%	25 Jul →
ancient	9–13	-0.01	6%	25 Jul →
inferno	13–10	0.03	13%	24 Jul →
nuke	13–6	0.02	13%	24 Jul →
dust2	13–8	0.02	9%	24 Jul →
mirage	2–13	-0.02	14%	24 Jul →
anubis	12–12	-0.04	21%	23 Jul →
mirage	13–10	0.01	19%	22 Jul →
dust2	8–13	-0.02	21%	22 Jul →
anubis	13–5	0.02	16%	22 Jul →
inferno	13–11	0.03	22%	22 Jul →
nuke	12–12	0.01	15%	22 Jul →
inferno	9–13	0.01	28%	22 Jul →
cache	13–8	0.08	21%	21 Jul →
anubis	13–10	0.03	13%	19 Jul →
dust2	8–13	-0.01	20%	19 Jul →
cache	13–11	0.02	21%	19 Jul →
inferno	11–13	0.02	16%	19 Jul →
ancient	1–13	-0.08	9%	19 Jul →
dust2	13–1	0.04	27%	16 Jul →
dust2	8–3	-0.05	19%	16 Jul →
ancient	5–13	-0.08	9%	15 Jul →
dust2	13–11	-0.01	16%	15 Jul →
inferno	12–12	-0.01	17%	14 Jul →
inferno	8–13	-0.01	16%	14 Jul →
mirage	13–4	0.01	10%	12 Jul →
dust2	11–13	0.02	12%	12 Jul →
ancient	5–13	0.00	13%	12 Jul →
nuke	13–8	-0.03	20%	11 Jul →
dust2	13–6	0.01	24%	11 Jul →
mirage	5–13	-0.07	19%	11 Jul →
dust2	12–12	0.00	22%	11 Jul →
dust2	13–0	0.02	16%	10 Jul →
inferno	11–13	-0.02	12%	10 Jul →
nuke	13–7	0.00	20%	8 Jul →
cache	13–7	0.12	17%	8 Jul →
dust2	7–13	-0.03	11%	3 Jul →
nuke	13–5	0.11	15%	3 Jul →
mirage	13–0	0.10	19%	3 Jul →
mirage	5–13	-0.05	29%	2 Jul →
cache	13–2	0.04	25%	2 Jul →
cache	12–12	0.03	20%	2 Jul →
ancient	6–13	0.07	23%	30 Jun →
nuke	13–1	0.08	22%	30 Jun →
nuke	6–0	0.13	21%	30 Jun →
ancient	14–16	-0.02	15%	30 Jun →
anubis	13–8	-0.03	16%	29 Jun →
mirage	1–1	-0.05	25%	29 Jun →
nuke	11–13	0.04	20%	28 Jun →
dust2	5–11	-0.04	17%	28 Jun →
dust2	13–3	0.09	19%	27 Jun →
nuke	7–13	0.04	17%	27 Jun →
nuke	9–13	-0.06	18%	27 Jun →
mirage	13–5	0.07	13%	26 Jun →
anubis	13–4	0.04	10%	26 Jun →
nuke	8–13	-0.00	14%	25 Jun →
dust2	13–7	0.03	8%	24 Jun →
inferno	12–12	0.01	18%	24 Jun →
inferno	13–7	-0.05	13%	23 Jun →
mirage	12–12	-0.05	7%	21 Jun →
dust2	6–13	-0.11	0%	21 Jun →
dust2	12–12	-0.03	17%	21 Jun →
dust2	7–13	-0.07	5%	21 Jun →
train	13–3	-0.00	21%	20 Jun →
train	4–13	-0.04	14%	20 Jun →
train	6–13	-0.08	14%	20 Jun →
mirage	10–13	-0.05	8%	20 Jun →
nuke	13–9	-0.00	22%	20 Jun →
inferno	13–6	0.01	14%	18 Jun →
inferno	8–13	-0.05	17%	18 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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