NyR00 — CS2 Stats

76561199225308038[U:1:1265042310]✓ No bans

2,363Tracked matches67%Win rate2021Tracked since

1,977Hours in CS

CSDB Rating5.9 SolidEntry Fragger

FaceitLevel 10 · 1,421 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	52.1%	52.0%
Shot accuracy	8.9%	13.7%
Kill/death ratio	1.09	1.08
Match win rate	42.0%	48.8%

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Performance scores

Aim75

Positioning68

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateWLLWWLWWWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5

Aggression10.0

Utility5.1

Positioning6.8

Opening Duels6.5

Clutch3.6

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 89% 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

Counter-strafing. Only 66% 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

Aim7.5

Positioning6.8

Utility5.1

Mechanics3.5

Opening Duels6.5

Win Impact10.0

Composite 5.9/10 (Solid), 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 rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time514ms−71ms

first ⅓ avg 585ms → last ⅓ avg 514ms

Headshot accuracy24.9%−0.3%

first ⅓ avg 25.2% → last ⅓ avg 24.9%

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 — anubis 13–4

13–1Biggest win — dust2

4Longest win streak

9–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 80% over 5infernoWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	34	16–18	47%	0.01
inferno	C	18	7–11	39%	0.01
anubis	S	18	12–6	67%	0.02
ancient	B	12	6–6	50%	0.01
cache	B	8	4–4	50%	-0.01
mirage	S	5	4–1	80%	0.03
nuke	—	3	1–2	33%	-0.02
eldorado	—	1	0–1	0%	-0.17
office	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,235Lifetime kills

1.09K/D · Top 50% of Level 10 players

4,435Matches

42.0%Match win rate

52.1%Headshot % · Top 50% of Level 10 players

8.9%Shot accuracy

10,123MVPs

1,977Hours (in match)

1,935Bombs planted

781Bombs defused

Most-used weapons

AK-4733,098

AWP18,128

M4A4 / M4A1-S15,661

Desert Eagle8,325

P2000 / USP-S6,085

Glock-183,350

SSG 081,893

Galil AR1,741

P2501,626

FAMAS1,623

Lifetime map wins

11,164inferno

10,796dust2

2,895nuke

1,997vertigo

234train

76office

17lake

15cbble

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

Faceit stats

Combat

1,348Matches

50%Win rate

1.10Avg K/D

76.6ADR

42%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	323	50%	1.08	16.1
Inferno	312	54%	1.14	16.2
Anubis	254	51%	1.13	16.7
Ancient	109	47%	1.07	16.3
Mirage	106	39%	1.01	15.3
Nuke	90	49%	1.13	16.8
Vertigo	45	53%	1.00	15.7
Overpass	35	37%	1.08	16.7

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.

25.7%Headshot accuracy

33.8%Accuracy (enemy spotted)

29.7%Spray accuracy

65.8%Counter-strafing

7.2°Preaim

529msReaction time

53.6%T opening success

58.3%CT opening success

0.47Enemies flashed / flash

4.1%Flash assists

6.62HE damage / grenade

9.67Flashes / 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.

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 0.4706 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	0.00	48%	18 Aug →
inferno	7–13	-0.03	43%	6 Aug →
cache	6–13	0.00	21%	5 Aug →
nuke	13–10	-0.03	32%	2 Aug →
mirage	13–3	-0.01	21%	30 Jul →
inferno	17–19	-0.02	15%	29 Jul →
anubis	13–10	-0.01	47%	28 Jul →
ancient	13–11	0.00	21%	26 Jul →
dust2	13–11	0.01	33%	24 Jul →
anubis	6–13	0.03	14%	23 Jul →
inferno	13–6	0.07	18%	23 Jul →
inferno	9–13	-0.04	24%	23 Jul →
anubis	13–8	0.04	13%	23 Jul →
cache	13–10	0.03	33%	22 Jul →
dust2	13–10	0.01	25%	21 Jul →
dust2	13–6	0.10	15%	20 Jul →
dust2	2–13	0.01	23%	19 Jul →
eldorado	0–9	-0.17	0%	19 Jul →
dust2	13–9	-0.02	33%	15 Jul →
cache	16–14	0.05	27%	15 Jul →
dust2	13–8	0.01	15%	14 Jul →
anubis	13–11	0.08	15%	14 Jul →
inferno	9–13	0.00	18%	14 Jul →
dust2	13–11	-0.02	17%	11 Jul →
anubis	13–10	0.02	33%	8 Jul →
ancient	13–10	0.02	26%	8 Jul →
dust2	13–1	0.07	44%	8 Jul →
anubis	3–13	-0.08	8%	5 Jul →
inferno	11–13	0.02	34%	2 Jul →
dust2	9–13	-0.01	35%	2 Jul →
anubis	13–11	0.01	19%	1 Jul →
inferno	13–11	-0.00	20%	1 Jul →
dust2	3–13	0.02	29%	1 Jul →
cache	13–5	-0.02	38%	30 Jun →
nuke	9–13	-0.02	12%	30 Jun →
anubis	13–4	0.12	28%	30 Jun →
dust2	10–13	0.07	10%	29 Jun →
mirage	13–7	0.09	28%	29 Jun →
inferno	13–7	0.03	12%	29 Jun →
dust2	7–13	-0.01	19%	29 Jun →
anubis	13–4	0.10	33%	29 Jun →
office	3–10	0.06	41%	28 Jun →
dust2	11–13	0.01	29%	27 Jun →
ancient	11–13	-0.02	29%	27 Jun →
dust2	5–13	-0.04	32%	26 Jun →
mirage	13–5	0.08	30%	26 Jun →
dust2	4–13	0.01	29%	26 Jun →
inferno	13–2	0.02	42%	26 Jun →
anubis	11–13	0.02	27%	24 Jun →
anubis	16–13	0.03	26%	24 Jun →
dust2	7–13	0.05	23%	24 Jun →
cache	0–11	-0.07	50%	24 Jun →
mirage	6–13	-0.03	30%	23 Jun →
anubis	13–8	0.04	23%	18 Jun →
ancient	13–7	0.00	18%	18 Jun →
anubis	7–13	0.00	24%	18 Jun →
cache	13–11	-0.01	21%	18 Jun →
dust2	13–8	0.01	11%	17 Jun →
ancient	9–13	0.08	26%	17 Jun →
dust2	13–3	-0.00	36%	17 Jun →
ancient	13–3	0.08	29%	17 Jun →
inferno	13–9	0.06	13%	17 Jun →
dust2	4–13	-0.09	25%	16 Jun →
ancient	16–14	-0.02	31%	15 Jun →
dust2	13–6	-0.03	33%	15 Jun →
anubis	9–13	0.01	36%	15 Jun →
dust2	9–13	-0.04	26%	15 Jun →
dust2	13–6	0.02	37%	14 Jun →
dust2	5–13	-0.11	17%	14 Jun →
ancient	6–13	0.03	15%	14 Jun →
inferno	13–5	0.02	41%	14 Jun →
dust2	4–13	-0.07	19%	4 Jun →
anubis	19–15	-0.00	11%	4 Jun →
dust2	13–9	0.08	31%	4 Jun →
ancient	6–13	0.03	23%	4 Jun →
anubis	13–8	0.03	25%	3 Jun →
ancient	11–13	0.03	20%	3 Jun →
dust2	13–4	0.07	33%	3 Jun →
inferno	10–13	-0.02	27%	1 Jun →
ancient	9–13	-0.06	25%	1 Jun →
dust2	8–13	-0.03	12%	1 Jun →
dust2	13–4	-0.01	9%	31 May →
inferno	2–13	-0.02	26%	27 May →
nuke	9–13	-0.02	32%	25 May →
inferno	13–9	0.11	24%	20 May →
dust2	9–13	0.08	13%	20 May →
dust2	13–6	0.06	22%	19 May →
cache	8–13	-0.05	22%	17 May →
inferno	8–13	0.03	27%	17 May →
inferno	12–16	0.00	37%	17 May →
cache	9–13	-0.00	33%	15 May →
anubis	13–9	0.05	29%	12 May →
ancient	13–4	-0.01	29%	12 May →
dust2	9–13	-0.01	44%	12 May →
inferno	8–13	-0.00	19%	11 May →
dust2	13–9	0.08	33%	11 May →
anubis	10–13	-0.02	21%	11 May →
dust2	10–13	-0.00	32%	10 May →
inferno	5–13	-0.08	25%	10 May →
dust2	4–13	-0.01	20%	10 May →