nyebiller — CS2 Stats

76561198213736143[U:1:253470415]✓ No bans

1,496Tracked matches37%Win rate2020Tracked since

6,686Hours in CS27Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating16,916Purple band · top ~20.8% of ranked players (population est.)

CSDB Leaderboard#5884 of 9857 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median	vs Pink band
Headshot rate	44.6%	48.1%	3.4% short
Shot accuracy	14.5%	12.9%	above
Kill/death ratio	0.88	1.08	0.20 short
Match win rate	41.0%	46.5%	5.5% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim82

Positioning52

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLTLLWWWTLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.2

Aggression6.8

Utility5.1

Positioning5.2

Opening Duels3.3

Clutch4.8

Excellent counter-strafing

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 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 610ms 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

Aim8.2

Positioning5.2

Utility5.1

Mechanics9.2

Opening Duels3.3

Win Impact0.7

Composite 6.0/10 (Solid), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time611ms−35ms

first ⅓ avg 646ms → last ⅓ avg 611ms

Headshot accuracy22.5%−0.5%

first ⅓ avg 23.0% → last ⅓ avg 22.5%

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

0.20Best rating — anubis 2–4

13–1Biggest win — cache

8Longest win streak

7–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	16–11	59%	0.03
cache	A	20	11–9	55%	0.02
ancient	B	18	9–9	50%	0.01
dust2	D	14	4–10	29%	-0.00
anubis	A	8	5–3	63%	0.03
inferno	D	6	0–6	0%	-0.00
nuke	D	6	2–4	33%	0.03
train	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

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

Lifetime stats

110,303Lifetime kills

0.88K/D

6,878Matches

41.0%Match win rate

44.6%Headshot %

14.5%Shot accuracy · Top 50% of tracked players

14,141MVPs

3,116Hours (in match)

2,847Bombs planted

1,517Bombs defused

Most-used weapons

AK-4732,647

Desert Eagle17,115

AWP16,350

M4A4 / M4A1-S12,067

P2000 / USP-S6,550

Glock-183,866

SSG 082,229

UMP-452,043

Knife1,767

Tec-91,651

Lifetime map wins

9,467dust2

3,701inferno

2,620nuke

2,410train

1,303vertigo

550cbble

272office

81lake

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

Faceit stats

Combat

270Matches

53%Win rate

0.91Avg K/D

85.5ADR

47%Headshot %

Clutches & streaks

44%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	37	59%	1.07	16.6
Ancient	21	38%	0.90	14.6
Inferno	15	60%	1.14	16.2
Anubis	13	38%	0.84	13.9
Vertigo	11	73%	0.73	12.7
Nuke	10	80%	1.31	16.7
Dust2	10	60%	1.16	19.4
Cache	4	75%	1.26	19.0

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.

22.4%Headshot accuracy

35.9%Accuracy (enemy spotted)

36.0%Spray accuracy

91.4%Counter-strafing

9.5°Preaim

610msReaction time

37.9%T opening success

48.2%CT opening success

0.60Enemies flashed / flash

6.8%Flash assists

17.52HE damage / grenade

6.27Flashes / 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 37.8919% — below the 40% mark we flag

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.

0% win rate across 6 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	4–13	-0.09	15%	27 Aug →
inferno	15–15	-0.01	15%	27 Aug →
cache	4–13	0.01	17%	27 Aug →
ancient	9–13	0.05	18%	25 Aug →
cache	13–2	0.01	29%	23 Aug →
mirage	13–3	0.05	14%	22 Aug →
cache	13–7	0.06	38%	22 Aug →
train	12–12	-0.10	18%	21 Aug →
mirage	8–13	-0.05	12%	20 Aug →
nuke	16–12	0.11	29%	20 Aug →
cache	15–15	-0.01	11%	19 Aug →
mirage	13–11	0.07	34%	19 Aug →
mirage	16–14	-0.01	23%	18 Aug →
anubis	1–13	-0.02	24%	18 Aug →
cache	13–8	0.04	36%	17 Aug →
mirage	13–6	0.03	14%	17 Aug →
nuke	11–13	0.08	42%	17 Aug →
mirage	14–16	-0.01	28%	16 Aug →
cache	11–13	0.01	27%	16 Aug →
mirage	11–13	0.04	19%	16 Aug →
nuke	4–13	-0.03	34%	16 Aug →
anubis	2–4	0.20	29%	15 Aug →
dust2	8–13	-0.02	25%	15 Aug →
mirage	5–13	-0.01	23%	15 Aug →
dust2	8–13	-0.00	26%	15 Aug →
cache	3–13	-0.04	19%	15 Aug →
anubis	13–9	-0.04	16%	13 Aug →
dust2	8–13	0.01	19%	13 Aug →
dust2	13–5	0.02	7%	12 Aug →
ancient	8–13	-0.08	13%	12 Aug →
ancient	13–5	0.01	21%	9 Aug →
cache	13–5	0.04	25%	9 Aug →
mirage	8–13	-0.02	23%	9 Aug →
ancient	13–11	0.00	17%	9 Aug →
ancient	13–11	0.02	21%	8 Aug →
cache	13–3	0.03	18%	8 Aug →
nuke	13–8	0.01	27%	8 Aug →
cache	13–3	0.12	22%	8 Aug →
mirage	13–3	0.07	28%	8 Aug →
mirage	8–2	0.00	23%	7 Aug →
dust2	16–14	0.01	30%	7 Aug →
ancient	8–13	-0.02	17%	7 Aug →
mirage	13–7	-0.01	26%	7 Aug →
anubis	13–8	0.03	27%	7 Aug →
dust2	13–4	0.01	27%	7 Aug →
mirage	13–3	0.12	14%	5 Aug →
dust2	6–13	-0.04	21%	4 Aug →
mirage	13–5	0.02	19%	4 Aug →
cache	3–7	0.02	17%	2 Aug →
inferno	7–13	-0.03	15%	2 Aug →
dust2	13–6	0.01	31%	2 Aug →
ancient	13–7	0.01	19%	2 Aug →
dust2	5–13	-0.00	8%	2 Aug →
mirage	9–2	-0.00	17%	2 Aug →
ancient	3–13	-0.04	17%	2 Aug →
ancient	5–13	0.06	23%	2 Aug →
cache	16–12	0.02	9%	1 Aug →
mirage	13–7	0.01	21%	1 Aug →
ancient	13–8	0.09	25%	1 Aug →
mirage	9–13	-0.01	16%	1 Aug →
anubis	12–16	0.01	21%	30 Jul →
inferno	8–13	-0.02	19%	29 Jul →
dust2	3–13	-0.00	27%	29 Jul →
ancient	13–7	-0.02	20%	27 Jul →
anubis	13–5	-0.02	17%	27 Jul →
cache	13–8	0.05	30%	26 Jul →
ancient	13–11	-0.08	15%	26 Jul →
nuke	11–13	-0.04	21%	26 Jul →
dust2	10–13	0.04	10%	26 Jul →
mirage	13–8	0.10	28%	25 Jul →
ancient	10–13	0.09	16%	25 Jul →
cache	13–1	0.11	42%	25 Jul →
cache	14–16	-0.01	27%	25 Jul →
mirage	11–13	0.10	23%	25 Jul →
cache	8–13	-0.01	24%	25 Jul →
cache	13–5	0.03	34%	25 Jul →
mirage	13–9	0.08	27%	25 Jul →
ancient	13–6	0.02	25%	25 Jul →
dust2	11–13	-0.08	2%	24 Jul →
mirage	13–7	0.13	14%	24 Jul →
inferno	8–13	0.04	10%	24 Jul →
anubis	13–11	-0.00	25%	23 Jul →
mirage	13–9	0.04	28%	23 Jul →
inferno	6–13	0.02	23%	23 Jul →
nuke	7–13	0.07	34%	23 Jul →
ancient	7–13	0.02	44%	22 Jul →
ancient	13–2	0.06	15%	20 Jul →
dust2	10–13	-0.06	29%	20 Jul →
mirage	7–13	0.02	13%	20 Jul →
ancient	10–13	-0.01	33%	20 Jul →
ancient	4–13	-0.09	17%	20 Jul →
cache	13–5	-0.04	26%	19 Jul →
mirage	7–13	-0.04	21%	19 Jul →
dust2	15–15	0.08	29%	19 Jul →
mirage	8–13	0.04	22%	19 Jul →
mirage	13–1	0.08	21%	19 Jul →
anubis	13–6	0.06	16%	19 Jul →
cache	9–13	-0.04	35%	19 Jul →
cache	7–13	0.00	14%	18 Jul →
inferno	9–13	-0.01	9%	18 Jul →