aerox385 — CS2 Stats

DE76561198174133301[U:1:213867573]Steam profile ↗✓ No bans

1,157Tracked matches42%Win rate2022Tracked since

2,740Hours in CS11Hrs last 2 wks

CSDB Rating4.2 DevelopingPositional Player

Premier CS Rating13,457Blue band · top ~36.6% of ranked players (population est.)

CSDB Leaderboard#162813 of 259038 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−259Premier CS Rating · 13,716 → 13,457

Rating over time

Premier CS Rating: 13,457 -1,543 30 Aug – 31 Oct · 29 days played

16,874Peak Premier in tracked matches

30Days played since 2026-08-30

Premier CS Rating

3,417 below peak (16,874)
-1,543 over 30 days · declining
Next: Purple band at 15,000 — 1,543 to go
Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 median	Level 4 median	vs Level 4
Headshot rate	32.2%	41.8%	42.7%	10.5% short
Shot accuracy	10.8%	12.2%	11.2%	0.4% short
Kill/death ratio	0.83	0.98	0.99	0.16 short
Match win rate	37.4%	43.3%	43.9%	6.6% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim59

Positioning46

Utility35

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateWTLLWLLLTT

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.6pp headshot accuracy · −1ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 13%
Avg reaction 578ms

Last 10

2–5–3 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 12%
Avg reaction 547ms

Last 20

5–11–4 · 25% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 547ms

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 (+2 against its own average).

Aim5.9

Utility3.5

Positioning4.6

Opening Duels1.2

Clutch1.0

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.

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 NiKo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

CT openings. Opening success drops from 48% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 551ms 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

Aim5.9

Positioning4.6

Utility3.5

Mechanics4.9

Opening Duels2.4

Win Impact2.4

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time551ms−91ms

first ⅓ avg 643ms → last ⅓ avg 551ms

Headshot accuracy13.8%+2.6%

first ⅓ avg 11.2% → last ⅓ avg 13.8%

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

0.10Best match rating · 13–6 · inferno, 12 Oct →

39%Best headshot accuracy · 11–0 · mirage, 26 Sept →

430msFastest reaction time · 11–13 · anubis, 14 Oct →

13–0Biggest win · dust2, 27 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

6–4In matches decided by ≤2 rounds

17Overtime games

Map breakdown

nukeBest map · 60% over 15mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	-0.01
inferno	B	18	9–9	50%	-0.00
nuke	A	15	9–6	60%	-0.01
anubis	C	13	5–8	38%	-0.00
ancient	C	11	4–7	36%	-0.02
cache	B	10	5–5	50%	-0.01
mirage	D	8	2–6	25%	-0.01
overpass	—	1	0–1	0%	0.01
italy	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,757Lifetime kills

0.83K/D

4,219Matches

37.4%Match win rate

32.2%Headshot %

10.8%Shot accuracy

6,029MVPs

1,543Hours (in match)

4,850Bombs planted

996Bombs defused

Most-used weapons

AK-4710,859

M4A4 / M4A1-S10,310

SG 5533,736

P2000 / USP-S2,891

Galil AR2,865

MP72,838

MP92,274

P2502,194

AWP2,172

Glock-182,067

Lifetime map wins

9,873dust2

5,789inferno

3,065nuke

830office

704train

415cbble

411vertigo

215italy

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

Faceit stats

Combat

57Matches

44%Win rate

0.59Avg K/D

59.6ADR

35%Headshot %

Clutches & streaks

25%1v1 clutch win

9%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	6	67%	0.75	13.0
Nuke	3	67%	0.86	14.0
Inferno	2	100%	0.81	12.5
Ancient	2	50%	0.58	7.0
Cache	1	100%	0.27	6.0

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.

13.8%Headshot accuracy

33.0%Accuracy (enemy spotted)

34.6%Spray accuracy

72.0%Counter-strafing

9.2°Preaim

551msReaction time

48.1%T opening success

31.1%CT opening success

0.56Enemies flashed / flash

0.0%Flash assists

9.63HE damage / grenade

2.69Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.8043% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.69 — below the 4 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 31.063% — 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.

25% win rate across 8 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
nuke	13–11	-0.02	15%	31 Oct →
anubis	15–15	-0.03	13%	31 Oct →
ancient	6–13	0.05	14%	31 Oct →
inferno	5–13	-0.04	9%	28 Oct →
mirage	13–6	0.02	15%	28 Oct →
nuke	8–13	0.05	10%	27 Oct →
anubis	7–13	-0.07	5%	27 Oct →
nuke	7–13	-0.07	18%	24 Oct →
dust2	15–15	-0.02	12%	19 Oct →
mirage	15–15	-0.03	12%	18 Oct →
nuke	13–5	0.02	12%	18 Oct →
nuke	10–13	0.01	13%	18 Oct →
anubis	9–13	0.02	14%	18 Oct →
dust2	8–13	-0.04	6%	18 Oct →
dust2	10–13	-0.09	15%	15 Oct →
inferno	15–15	-0.02	23%	15 Oct →
ancient	6–13	-0.04	19%	15 Oct →
dust2	13–11	-0.03	13%	15 Oct →
cache	13–10	0.02	7%	15 Oct →
mirage	10–13	0.02	18%	15 Oct →
dust2	13–10	-0.06	14%	15 Oct →
anubis	11–13	0.01	8%	14 Oct →
inferno	13–11	0.03	14%	14 Oct →
anubis	13–11	0.01	16%	13 Oct →
dust2	8–13	-0.01	31%	13 Oct →
cache	13–6	-0.07	16%	13 Oct →
inferno	13–4	0.05	8%	12 Oct →
cache	10–13	-0.00	18%	12 Oct →
dust2	7–13	-0.07	8%	12 Oct →
inferno	13–6	0.10	16%	12 Oct →
inferno	16–12	-0.00	15%	8 Oct →
anubis	13–10	-0.00	14%	7 Oct →
mirage	7–13	-0.05	15%	7 Oct →
cache	9–13	-0.01	19%	7 Oct →
dust2	4–13	0.02	20%	1 Oct →
cache	13–10	-0.02	12%	1 Oct →
mirage	5–13	-0.05	7%	1 Oct →
anubis	13–2	-0.01	8%	1 Oct →
anubis	13–4	-0.01	9%	1 Oct →
anubis	7–13	-0.00	11%	29 Sept →
mirage	9–13	0.04	13%	28 Sept →
nuke	10–13	-0.08	19%	27 Sept →
dust2	10–13	-0.05	9%	27 Sept →
cache	15–15	-0.03	12%	27 Sept →
nuke	13–9	-0.01	4%	27 Sept →
dust2	13–0	0.10	21%	27 Sept →
ancient	13–7	-0.03	26%	27 Sept →
inferno	13–5	0.06	13%	27 Sept →
dust2	13–10	-0.04	15%	27 Sept →
ancient	16–13	-0.02	12%	26 Sept →
inferno	13–11	-0.01	8%	26 Sept →
mirage	11–0	0.04	39%	26 Sept →
inferno	5–13	-0.04	0%	26 Sept →
ancient	2–13	-0.06	12%	25 Sept →
nuke	11–13	-0.03	14%	25 Sept →
inferno	11–13	-0.02	9%	25 Sept →
dust2	13–16	0.01	13%	25 Sept →
anubis	8–13	0.06	10%	25 Sept →
inferno	7–13	-0.01	9%	24 Sept →
dust2	13–16	0.03	12%	22 Sept →
cache	13–2	0.07	9%	22 Sept →
inferno	13–10	-0.01	11%	22 Sept →
ancient	7–13	-0.04	11%	22 Sept →
inferno	13–7	0.03	5%	22 Sept →
dust2	13–3	-0.07	10%	22 Sept →
dust2	13–16	0.03	23%	22 Sept →
overpass	12–12	0.01	16%	18 Sept →
nuke	13–8	0.02	13%	18 Sept →
italy	7–13	-0.09	3%	14 Sept →
nuke	15–15	0.01	10%	14 Sept →
cache	11–13	-0.08	5%	14 Sept →
ancient	6–13	-0.06	17%	12 Sept →
inferno	2–13	-0.04	12%	12 Sept →
mirage	8–13	-0.08	0%	12 Sept →
dust2	16–13	0.01	15%	11 Sept →
ancient	6–13	-0.07	17%	11 Sept →
nuke	13–6	-0.05	14%	11 Sept →
cache	13–11	0.01	18%	11 Sept →
dust2	13–8	0.01	12%	9 Sept →
nuke	13–10	0.03	8%	9 Sept →
nuke	13–7	0.02	2%	9 Sept →
anubis	16–12	-0.02	12%	9 Sept →
inferno	13–9	-0.04	10%	9 Sept →
inferno	9–13	0.01	13%	6 Sept →
dust2	15–15	0.01	10%	6 Sept →
nuke	16–12	-0.01	15%	6 Sept →
dust2	6–13	-0.06	5%	6 Sept →
ancient	8–13	-0.02	6%	4 Sept →
ancient	13–8	0.02	0%	2 Sept →
nuke	13–9	-0.01	11%	2 Sept →
dust2	13–7	0.05	17%	2 Sept →
anubis	13–16	-0.01	10%	2 Sept →
inferno	10–13	-0.07	18%	2 Sept →
anubis	10–13	0.00	17%	31 Aug →
dust2	13–10	0.01	21%	31 Aug →
cache	6–13	-0.04	11%	31 Aug →
ancient	13–9	0.03	9%	31 Aug →
dust2	15–15	0.00	11%	31 Aug →
dust2	13–4	0.01	27%	31 Aug →
inferno	4–13	-0.06	5%	30 Aug →