AdM — CS2 Stats

GB76561197989721194[U:1:29455466]Steam profile ↗✓ No bans

609Tracked matches52%Win rate2020Tracked since

1,189Hours in CS

CSDB Rating5.0 DevelopingPassive Rifler

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 median	Level 7 median	vs Level 7
Headshot rate	42.7%	44.7%	46.1%	3.4% short
Shot accuracy	15.8%	11.9%	12.6%	above
Kill/death ratio	1.13	1.04	1.05	above
Match win rate	43.8%	45.2%	45.7%	1.9% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim62

Positioning32

Utility55

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateTLWWLLLWLL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim6.2

Aggression2.2

Utility5.5

Positioning3.2

Opening Duels0.0

Clutch0.0

Strong CT-side opener

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 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim 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 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 33% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms 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

Aim6.2

Positioning3.2

Utility5.5

Mechanics7.3

Opening Duels0.4

Win Impact5.6

Composite 5.0/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time643ms+13ms

first ⅓ avg 629ms → last ⅓ avg 643ms

Headshot accuracy16.3%−3.4%

first ⅓ avg 19.7% → 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

0.10Best rating — anubis 13–2

13–1Biggest win — overpass

4Longest win streak

5–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 62% over 13ancientWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	28	11–17	39%	-0.02
inferno	B	19	10–9	53%	0.01
dust2	A	13	8–5	62%	0.00
nuke	A	12	7–5	58%	0.05
ancient	D	9	3–6	33%	0.01
overpass	A	5	3–2	60%	0.01
train	C	5	2–3	40%	-0.01
anubis	—	4	2–2	50%	0.05
vertigo	—	3	1–2	33%	0.04
jura	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,102Lifetime kills

1.13K/D · Top 50% of Level 6 players

2,657Matches

43.8%Match win rate

42.7%Headshot %

15.8%Shot accuracy · Top 25% of Level 6 players

6,145MVPs

1,189Hours (in match)

3,183Bombs planted

592Bombs defused

Most-used weapons

AK-4715,326

M4A4 / M4A1-S12,347

AWP6,749

P2000 / USP-S3,352

Glock-182,731

Desert Eagle2,264

P901,541

FAMAS1,494

P2501,472

SSG 081,451

Lifetime map wins

8,316inferno

3,775dust2

2,770nuke

987vertigo

829train

745cbble

228office

160assault

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

Faceit stats

Combat

171Matches

52%Win rate

1.00Avg K/D

117.3ADR

37%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

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.

16.8%Headshot accuracy

34.5%Accuracy (enemy spotted)

35.8%Spray accuracy

82.7%Counter-strafing

10.5°Preaim

642msReaction time

14.6%T opening success

33.1%CT opening success

0.65Enemies flashed / flash

3.1%Flash assists

13.03HE damage / grenade

6.11Flashes / 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 14.6149% — 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.

33% win rate across 9 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
nuke	15–15	0.10	13%	11 Apr →
inferno	7–13	-0.02	20%	3 Jan →
dust2	13–4	0.05	26%	3 Jan →
inferno	13–7	-0.04	17%	3 Jan →
mirage	5–13	0.02	20%	3 Jan →
nuke	12–16	0.10	20%	3 Jan →
dust2	6–13	-0.05	10%	3 Jan →
inferno	13–9	0.02	16%	3 Jan →
overpass	3–13	0.04	20%	29 Dec →
inferno	8–13	0.07	19%	29 Dec →
vertigo	10–1	0.03	9%	29 Dec →
ancient	7–13	0.04	11%	28 Dec →
nuke	13–6	0.08	19%	28 Dec →
overpass	13–1	0.07	13%	28 Dec →
nuke	13–9	0.07	23%	28 Dec →
mirage	11–13	0.01	8%	22 Dec →
nuke	13–6	0.09	14%	21 Dec →
overpass	13–6	-0.04	18%	15 Nov →
mirage	9–13	-0.05	24%	8 Nov →
mirage	10–13	-0.05	13%	8 Nov →
mirage	2–13	-0.06	25%	5 Nov →
dust2	13–5	-0.10	24%	5 Nov →
mirage	13–9	-0.08	16%	5 Nov →
ancient	4–13	-0.06	11%	31 Oct →
mirage	13–2	-0.02	14%	17 Oct →
dust2	13–7	0.05	18%	14 Sept →
dust2	13–1	0.06	29%	14 Sept →
nuke	13–11	0.02	13%	14 Sept →
mirage	3–13	-0.08	8%	14 Sept →
train	4–13	0.01	16%	13 Sept →
overpass	8–13	-0.03	10%	13 Sept →
inferno	13–7	0.03	11%	13 Aug →
nuke	14–16	-0.04	12%	23 Jul →
mirage	13–6	-0.03	18%	23 Jul →
ancient	10–3	0.03	36%	16 Jul →
inferno	5–13	-0.02	9%	16 Jul →
mirage	10–13	-0.05	28%	4 Jul →
inferno	8–13	0.04	27%	12 Jun →
inferno	10–13	-0.03	28%	10 Jun →
inferno	13–8	0.01	17%	8 Jun →
dust2	1–13	-0.02	15%	8 Jun →
jura	13–9	0.01	19%	8 Jun →
jura	2–13	-0.01	22%	6 Jun →
anubis	13–2	0.10	20%	6 Jun →
mirage	7–13	-0.06	30%	6 Jun →
dust2	13–11	0.05	25%	6 Jun →
overpass	13–2	0.03	15%	6 Jun →
inferno	11–13	-0.00	12%	16 May →
train	13–9	-0.05	33%	16 May →
mirage	11–13	0.03	22%	5 May →
anubis	13–8	0.10	11%	5 May →
dust2	2–13	-0.09	8%	29 Apr →
nuke	13–6	0.08	15%	29 Apr →
mirage	6–13	-0.11	11%	29 Apr →
anubis	4–13	-0.02	12%	27 Apr →
inferno	5–13	-0.02	5%	24 Apr →
mirage	13–11	-0.01	19%	24 Apr →
mirage	8–13	-0.04	12%	24 Apr →
nuke	13–11	0.04	25%	22 Apr →
mirage	13–10	0.02	18%	22 Apr →
mirage	13–8	-0.03	20%	19 Apr →
dust2	6–13	0.01	12%	26 Mar →
train	4–13	-0.04	20%	14 Mar →
mirage	13–16	0.03	21%	7 Mar →
mirage	15–15	0.04	15%	6 Mar →
mirage	4–13	-0.02	15%	6 Mar →
mirage	13–9	0.04	21%	5 Mar →
mirage	1–13	0.05	30%	5 Mar →
inferno	13–8	0.07	21%	3 Mar →
train	9–13	0.02	13%	20 Feb →
mirage	13–6	0.03	14%	20 Feb →
dust2	10–13	0.01	29%	16 Feb →
inferno	13–9	-0.01	21%	16 Feb →
mirage	13–8	-0.07	24%	13 Feb →
train	16–14	-0.00	17%	13 Feb →
ancient	1–13	-0.07	19%	13 Feb →
anubis	10–13	0.01	33%	4 Feb →
ancient	13–2	0.09	9%	4 Feb →
mirage	13–7	0.03	23%	31 Jan →
inferno	11–13	0.04	32%	31 Jan →
inferno	13–7	0.03	15%	26 Jan →
inferno	13–5	0.03	15%	26 Jan →
ancient	8–13	-0.01	26%	26 Jan →
mirage	3–13	-0.05	19%	26 Jan →
ancient	4–13	-0.01	27%	19 Jan →
nuke	10–13	0.02	14%	19 Jan →
mirage	13–9	0.02	14%	19 Jan →
dust2	13–1	0.03	16%	19 Jan →
ancient	13–3	0.04	21%	19 Jan →
inferno	13–8	0.06	12%	19 Jan →
vertigo	8–13	-0.01	13%	26 Dec →
dust2	13–6	-0.05	16%	26 Dec →
inferno	13–4	-0.05	26%	26 Dec →
nuke	11–13	0.03	14%	20 Dec →
dust2	13–5	0.09	33%	20 Dec →
vertigo	7–13	0.09	21%	20 Dec →
ancient	6–13	0.05	11%	6 Dec →
inferno	5–13	0.00	11%	6 Dec →
nuke	16–12	0.04	15%	29 Nov →
mirage	10–13	-0.07	27%	22 Nov →