NoName — CS2 Stats

76561198206520272[U:1:246254544]Steam profile ↗✓ No bans

1,049Tracked matches43%Win rate2021Tracked since

CSDB Rating4.8 DevelopingPassive Rifler

Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#18113 of 29060 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning41

Utility36

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateLLWLWLLLWL

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

Player DNA

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

Aim6.4

Aggression4.2

Utility3.6

Positioning4.1

Opening Duels0.4

Clutch2.6

Limited 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 80% 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

Reaction time. 644ms 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

Aim6.4

Positioning4.1

Utility3.6

Mechanics8.1

Opening Duels0.7

Win Impact2.6

Composite 4.8/10 (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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time641ms−34ms

first ⅓ avg 675ms → last ⅓ avg 641ms

Headshot accuracy15.0%+1.5%

first ⅓ avg 13.5% → last ⅓ avg 15.0%

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

0.06Best rating — anubis 13–9

13–0Biggest win — anubis

7Longest win streak

L2Current streak

5–5In matches decided by ≤2 rounds

14Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	17	9–8	53%	-0.03
inferno	C	16	7–9	44%	-0.04
dust2	S	15	10–5	67%	-0.04
anubis	A	14	9–5	64%	-0.02
mirage	D	13	2–11	15%	-0.03
cache	S	10	7–3	70%	-0.03
ancient	D	8	2–6	25%	-0.06
overpass	S	5	4–1	80%	-0.00
vertigo	—	1	0–1	0%	-0.05
train	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

548Matches

49%Win rate

0.77Avg K/D

60.5ADR

39%Headshot %

Clutches & streaks

33%1v1 clutch win

17%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	54	54%	0.78	12.1
Anubis	43	37%	0.69	11.9
Nuke	40	68%	0.82	11.9
Mirage	38	50%	0.76	11.3
Dust2	32	41%	0.68	10.0
Vertigo	24	62%	0.75	12.5
Ancient	18	44%	0.70	10.4
Train	14	79%	0.82	11.3

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.

15.1%Headshot accuracy

34.9%Accuracy (enemy spotted)

37.3%Spray accuracy

86.3%Counter-strafing

10.6°Preaim

644msReaction time

35.5%T opening success

27.9%CT opening success

0.35Enemies flashed / flash

6.9%Flash assists

10.13HE damage / grenade

3.15Flashes / 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 0.3479 — below the 0.5 mark we flag
Grenade Lineups →
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 35.5017% — below the 40% mark we flag

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.

15% win rate across 13 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
inferno	6–13	-0.03	22%	22 Aug →
mirage	10–13	-0.06	14%	22 Aug →
dust2	13–6	-0.07	17%	22 Aug →
cache	2–13	-0.08	3%	20 Aug →
dust2	13–10	-0.02	18%	19 Aug →
inferno	5–13	-0.05	15%	19 Aug →
anubis	11–13	0.01	13%	18 Aug →
nuke	9–13	-0.00	23%	18 Aug →
mirage	13–6	-0.02	12%	16 Aug →
inferno	9–13	-0.07	19%	16 Aug →
anubis	4–13	-0.02	19%	15 Aug →
nuke	7–13	-0.05	15%	15 Aug →
cache	13–3	0.05	15%	14 Aug →
cache	13–6	0.00	19%	6 Aug →
inferno	6–13	-0.01	38%	6 Aug →
dust2	15–15	-0.05	11%	6 Aug →
dust2	5–13	-0.06	8%	31 Jul →
mirage	11–13	-0.04	10%	31 Jul →
nuke	13–8	-0.02	14%	31 Jul →
anubis	13–9	-0.08	16%	31 Jul →
nuke	14–16	-0.02	13%	31 Jul →
nuke	15–15	0.02	10%	30 Jul →
inferno	7–13	-0.00	11%	30 Jul →
dust2	13–8	-0.01	24%	25 Jul →
cache	16–14	-0.06	13%	25 Jul →
mirage	3–13	-0.02	16%	25 Jul →
inferno	13–7	-0.05	10%	25 Jul →
ancient	7–13	-0.08	13%	25 Jul →
anubis	13–10	-0.04	15%	25 Jul →
nuke	13–5	-0.04	12%	25 Jul →
dust2	9–13	-0.07	9%	25 Jul →
anubis	10–13	-0.06	20%	25 Jul →
inferno	16–12	0.01	10%	24 Jul →
anubis	9–13	-0.08	7%	24 Jul →
mirage	15–15	-0.04	6%	24 Jul →
nuke	16–14	-0.10	13%	24 Jul →
dust2	13–9	-0.04	5%	21 Jul →
dust2	11–13	-0.06	18%	20 Jul →
mirage	4–13	-0.03	12%	17 Jul →
dust2	13–3	-0.06	16%	17 Jul →
cache	16–12	-0.05	7%	17 Jul →
anubis	6–13	-0.04	15%	17 Jul →
inferno	15–15	-0.04	12%	17 Jul →
mirage	14–16	-0.02	10%	16 Jul →
nuke	13–3	0.00	13%	16 Jul →
mirage	4–13	-0.05	14%	16 Jul →
nuke	13–10	-0.02	13%	14 Jul →
anubis	13–0	-0.00	13%	12 Jul →
nuke	4–13	0.01	6%	12 Jul →
cache	2–13	-0.04	22%	12 Jul →
ancient	8–13	0.03	11%	5 Jul →
mirage	13–16	-0.00	15%	4 Jul →
inferno	1–11	-0.08	33%	4 Jul →
ancient	5–13	-0.05	21%	4 Jul →
inferno	13–5	-0.10	8%	4 Jul →
anubis	13–5	-0.01	14%	4 Jul →
dust2	9–13	-0.09	24%	4 Jul →
overpass	13–8	0.00	15%	4 Jul →
ancient	1–13	-0.14	22%	4 Jul →
mirage	9–13	-0.06	13%	4 Jul →
nuke	13–9	-0.06	13%	4 Jul →
overpass	13–8	0.04	18%	4 Jul →
inferno	13–3	-0.08	7%	4 Jul →
inferno	13–7	-0.01	22%	2 Jul →
nuke	7–13	-0.04	12%	2 Jul →
overpass	13–9	0.01	17%	29 Jun →
ancient	7–13	-0.07	8%	29 Jun →
mirage	5–13	0.00	11%	29 Jun →
inferno	7–13	-0.02	16%	28 Jun →
inferno	16–14	-0.00	11%	26 Jun →
mirage	13–8	-0.01	4%	26 Jun →
overpass	9–13	-0.07	5%	26 Jun →
nuke	12–16	-0.04	14%	26 Jun →
dust2	13–7	-0.01	23%	26 Jun →
anubis	13–9	-0.04	17%	26 Jun →
anubis	13–9	0.01	19%	25 Jun →
dust2	13–8	0.00	0%	24 Jun →
anubis	13–9	0.06	11%	17 Jun →
vertigo	7–13	-0.05	19%	13 Jun →
train	4–13	-0.07	11%	13 Jun →
nuke	7–13	-0.08	26%	13 Jun →
cache	13–8	-0.05	18%	13 Jun →
anubis	13–11	0.03	8%	13 Jun →
cache	13–11	-0.05	11%	9 May →
dust2	13–6	-0.03	5%	9 May →
dust2	5–1	0.01	8%	9 May →
cache	13–6	0.01	19%	9 May →
mirage	6–13	-0.07	18%	9 May →
ancient	13–9	-0.03	12%	9 May →
inferno	15–15	-0.04	12%	9 May →
nuke	13–5	-0.01	8%	9 May →
cache	6–13	-0.05	18%	9 May →
ancient	9–13	-0.07	11%	26 Apr →
anubis	13–5	0.04	12%	26 Apr →
inferno	13–10	-0.00	9%	26 Apr →
dust2	13–3	-0.01	13%	26 Apr →
nuke	13–3	0.01	19%	26 Apr →
nuke	13–6	-0.04	14%	25 Apr →
ancient	13–8	-0.04	19%	25 Apr →
overpass	13–7	-0.01	24%	25 Apr →