Andrxw — CS2 Stats

AU76561199832200545[U:1:1871934817]Steam profile ↗✓ No bans

2,516Tracked matches52%Win rate2025Tracked since

4,639Hours in CS46Hrs last 2 wks

CSDB Rating6.3 SolidPositional Player

Premier CS Rating21,492Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)

CSDB Leaderboard#63621 of 259887 tracked

FaceitLevel 7 · 1,522 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

−338Premier CS Rating · 21,830 → 21,492

Rating over time

Premier CS Rating: 21,492 -2,400 31 Aug – 4 Nov · 14 days played

Faceit ELO: 1,522 +0 31 Aug – 10 Sept · 5 observations

23,892Peak Premier in tracked matches

1,522Highest Faceit ELO seen on CSDB

37Days played since 2026-08-31

Faceit ELO

At peak — 1,522
Next: Level 8 at 1,531 — 9 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-08-31
Level 6 first seen 2026-08-31

Premier CS Rating

2,400 below peak (23,892)
+266 over 30 days · steady
Next: Red band at 25,000 — 3,508 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-31
Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 median	Level 8 median	vs Level 8
Headshot rate	46.7%	45.7%	46.8%	meets
Shot accuracy	0.0%	12.7%	13.0%	13.0% short
Kill/death ratio	1.03	1.05	1.06	0.03 short
Match win rate	57.8%	45.7%	46.3%	above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning63

Utility46

0–100 skill scores via Leetify.

Recent form

COLD48–41–11Last 10048%Win rateLLTLLLWLWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +2.0pp headshot accuracy · +11ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

0–4–1 · 0% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 580ms

Last 10

2–7–1 · 20% win rate
Avg rating -0.01
Avg headshot accuracy 22%
Avg reaction 576ms

Last 20

8–10–2 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 570ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim7.5

Utility4.6

Positioning6.3

Opening Duels3.0

Clutch4.6

Strong CT-side openerLimited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.5

Positioning6.3

Utility4.6

Mechanics5.8

Opening Duels5.6

Win Impact5.6

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time539ms+14ms

first ⅓ avg 525ms → last ⅓ avg 539ms

Headshot accuracy19.6%−1.8%

first ⅓ avg 21.4% → last ⅓ avg 19.6%

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.

Personal bests

0.14Best match rating · 13–9 · anubis, 3 Oct →

50%Best headshot accuracy · 4–3 · dust2, 23 Sept →

383msFastest reaction time · 2–13 · dust2, 28 Sept →

13–1Biggest win · inferno, 20 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

5–10In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 67% over 6mirageWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	11–15	42%	0.01
anubis	B	13	7–6	54%	0.04
inferno	B	11	5–6	45%	-0.02
mirage	C	10	4–6	40%	0.00
nuke	B	10	5–5	50%	0.02
cache	C	9	4–5	44%	-0.04
office	A	7	4–3	57%	0.04
vertigo	A	7	4–3	57%	0.03
ancient	S	6	4–2	67%	0.03
train	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,706Lifetime kills

1.03K/D

1,974Matches

57.8%Match win rate · Top 5% of Level 7 players

46.7%Headshot % · Top 50% of Level 7 players

0.0%Shot accuracy

5,224MVPs

755Hours (in match)

2,175Bombs planted

545Bombs defused

Most-used weapons

AK-4712,024

M4A4 / M4A1-S5,819

AWP3,028

Glock-181,916

MP91,911

P2000 / USP-S1,821

Desert Eagle1,516

SSG 081,496

Galil AR828

Tec-9764

Lifetime map wins

6,097dust2

2,385nuke

1,970inferno

1,355office

1,102vertigo

778train

197italy

6cbble

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

Faceit stats

Combat

303Matches

53%Win rate

1.01Avg K/D

79.7ADR

46%Headshot %

Clutches & streaks

43%1v1 clutch win

27%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	77	48%	0.93	14.8
Dust2	71	52%	1.10	16.1
Ancient	37	51%	0.86	13.7
Anubis	32	59%	1.11	16.5
Nuke	30	57%	0.97	15.2
Inferno	20	45%	0.90	13.4
Cache	18	56%	1.08	16.0
Train	9	67%	1.12	16.2

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.

20.1%Headshot accuracy

32.5%Accuracy (enemy spotted)

37.4%Spray accuracy

76.1%Counter-strafing

8.4°Preaim

537msReaction time

54.0%T opening success

50.9%CT opening success

0.58Enemies flashed / flash

3.9%Flash assists

8.80HE damage / grenade

4.67Flashes / match

Recommended for you

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.

40% win rate across 10 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
dust2	4–13	-0.04	22%	4 Nov →
dust2	11–13	-0.06	13%	31 Oct →
dust2	12–12	0.02	31%	30 Oct →
anubis	4–13	0.03	17%	30 Oct →
inferno	5–13	-0.07	24%	30 Oct →
dust2	11–13	-0.08	10%	30 Oct →
dust2	13–4	0.04	20%	27 Oct →
anubis	7–13	-0.02	18%	27 Oct →
dust2	13–8	0.05	24%	26 Oct →
office	8–13	0.06	45%	26 Oct →
inferno	8–13	0.03	14%	24 Oct →
cache	13–10	-0.02	14%	22 Oct →
ancient	13–9	0.00	20%	21 Oct →
cache	13–8	-0.01	27%	21 Oct →
mirage	11–13	0.04	22%	20 Oct →
nuke	13–7	0.02	14%	20 Oct →
inferno	13–1	0.00	23%	20 Oct →
cache	12–12	-0.01	28%	20 Oct →
nuke	13–5	0.05	18%	17 Oct →
dust2	2–13	-0.04	23%	17 Oct →
anubis	13–9	0.09	21%	16 Oct →
dust2	13–11	0.01	25%	15 Oct →
mirage	13–7	0.07	27%	9 Oct →
dust2	13–9	-0.03	14%	7 Oct →
dust2	11–13	-0.05	7%	5 Oct →
vertigo	13–5	0.04	13%	5 Oct →
mirage	13–6	0.02	17%	5 Oct →
dust2	12–12	0.09	15%	4 Oct →
dust2	11–13	0.04	18%	3 Oct →
cache	10–13	-0.04	23%	3 Oct →
anubis	10–13	0.04	10%	3 Oct →
inferno	13–11	-0.02	8%	3 Oct →
cache	13–5	-0.06	22%	3 Oct →
anubis	13–9	0.14	20%	3 Oct →
nuke	15–15	0.02	13%	2 Oct →
dust2	13–7	0.14	15%	2 Oct →
cache	4–13	-0.03	13%	1 Oct →
dust2	13–8	0.03	16%	1 Oct →
nuke	3–13	-0.05	14%	30 Sept →
inferno	13–5	-0.01	18%	30 Sept →
vertigo	1–13	-0.02	23%	30 Sept →
office	13–10	0.03	10%	30 Sept →
office	13–4	0.02	28%	30 Sept →
mirage	10–13	-0.06	27%	30 Sept →
ancient	13–11	0.03	20%	30 Sept →
vertigo	13–6	0.04	14%	29 Sept →
anubis	6–2	0.01	35%	29 Sept →
dust2	13–1	0.05	17%	29 Sept →
inferno	12–12	-0.09	24%	29 Sept →
cache	12–12	-0.03	19%	29 Sept →
dust2	17–19	0.01	12%	28 Sept →
ancient	19–22	0.02	12%	28 Sept →
dust2	2–13	-0.06	10%	28 Sept →
office	12–12	0.03	19%	25 Sept →
dust2	12–12	-0.06	23%	25 Sept →
ancient	8–13	0.03	13%	24 Sept →
nuke	12–12	0.05	9%	24 Sept →
office	13–6	0.10	21%	24 Sept →
dust2	13–11	-0.04	15%	24 Sept →
office	7–13	-0.07	33%	23 Sept →
dust2	4–3	-0.04	50%	23 Sept →
dust2	13–8	0.04	33%	23 Sept →
cache	3–13	-0.08	13%	23 Sept →
vertigo	9–13	-0.01	20%	23 Sept →
vertigo	13–3	0.07	31%	23 Sept →
mirage	12–12	0.04	32%	23 Sept →
inferno	13–10	0.01	18%	23 Sept →
vertigo	13–3	0.07	32%	23 Sept →
inferno	14–16	-0.03	7%	22 Sept →
mirage	13–6	-0.03	17%	22 Sept →
dust2	9–13	-0.01	24%	22 Sept →
inferno	11–13	0.02	19%	22 Sept →
nuke	12–12	0.01	24%	22 Sept →
train	4–13	0.04	27%	22 Sept →
dust2	7–13	0.11	25%	21 Sept →
anubis	13–7	0.07	21%	21 Sept →
mirage	7–13	-0.03	14%	20 Sept →
nuke	8–13	-0.03	16%	19 Sept →
nuke	13–6	0.06	19%	19 Sept →
dust2	4–13	0.05	9%	19 Sept →
inferno	13–11	-0.00	8%	19 Sept →
dust2	13–9	0.07	20%	17 Sept →
anubis	2–13	-0.01	33%	16 Sept →
anubis	13–9	0.01	31%	16 Sept →
ancient	13–6	0.01	29%	16 Sept →
cache	13–10	-0.06	10%	15 Sept →
inferno	4–9	-0.02	35%	15 Sept →
ancient	13–6	0.07	24%	15 Sept →
anubis	13–9	0.05	17%	13 Sept →
nuke	13–4	0.02	31%	13 Sept →
office	13–7	0.09	24%	13 Sept →
vertigo	3–13	0.00	30%	12 Sept →
dust2	13–7	0.06	13%	12 Sept →
nuke	13–9	0.07	23%	11 Sept →
anubis	4–13	0.00	38%	10 Sept →
anubis	13–9	0.07	21%	10 Sept →
mirage	9–13	0.03	16%	10 Sept →
mirage	11–13	-0.07	18%	10 Sept →
mirage	13–10	-0.01	7%	9 Sept →
anubis	10–13	0.04	23%	9 Sept →