Aurora — CS2 Stats

76561198406926965[U:1:446661237]✓ No bans

1,459Tracked matches38%Win rate2020Tracked since

2,067Hours in CS

CSDB Rating2.5 Learning

Premier CS Rating7,429Light Blue band · top ~67.2% of ranked players (population est.)

CSDB Leaderboard#22452 of 29815 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSilver IV

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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	34.0%	42.1%	42.5%	8.5% short
Shot accuracy	21.8%	12.1%	10.9%	above
Kill/death ratio	0.68	0.99	0.99	0.32 short
Match win rate	41.6%	43.9%	44.2%	2.6% short

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

Widest gap: Kill/death ratio. 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.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim25

Positioning31

Utility28

0–100 skill scores via Leetify.

Recent form

COLD45–54–1Last 10045%Win rateLLLLLWWWLL

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

Player DNA

Aim2.5

Aggression4.1

Utility2.8

Positioning3.1

Opening Duels0.1

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 68% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 39% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 745ms 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

Aim2.5

Positioning3.1

Utility2.8

Mechanics5.4

Opening Duels1.1

Win Impact1.0

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time742ms−22ms

first ⅓ avg 764ms → last ⅓ avg 742ms

Headshot accuracy14.2%+2.1%

first ⅓ avg 12.2% → last ⅓ avg 14.2%

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

0.11Best rating — dust2 10–13

13–0Biggest win — dust2

6Longest win streak

L5Current streak

7–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 59% over 27infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	32	15–17	47%	-0.04
dust2	A	27	16–11	59%	-0.03
ancient	D	12	4–8	33%	-0.04
overpass	C	12	5–7	42%	-0.03
nuke	D	7	2–5	29%	-0.04
inferno	D	7	1–6	14%	-0.03
train	—	3	2–1	67%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,293Lifetime kills

0.68K/D

4,487Matches

41.6%Match win rate

34.0%Headshot %

21.8%Shot accuracy · Top 1% of Level 3 players

6,747MVPs

2,067Hours (in match)

4,634Bombs planted

765Bombs defused

Most-used weapons

AK-4719,421

M4A4 / M4A1-S13,310

SG 5535,779

FAMAS4,897

P2000 / USP-S3,572

Glock-182,996

UMP-452,540

AWP1,571

Five-SeveN1,533

Galil AR1,483

Lifetime map wins

13,017dust2

5,995inferno

3,119train

2,245nuke

2,144vertigo

320cbble

168office

111lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.1%Headshot accuracy

29.4%Accuracy (enemy spotted)

34.5%Spray accuracy

74.2%Counter-strafing

13.2°Preaim

745msReaction time

22.1%T opening success

38.6%CT opening success

0.76Enemies flashed / flash

2.8%Flash assists

7.33HE damage / grenade

2.87Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.1634° — above the 12° mark we flag
Aim Training →
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 14.0917% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 744.6944ms — above the 700ms mark we flag
Aim Training →

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.

14% win rate across 7 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
nuke	10–13	-0.05	19%	2 Nov →
nuke	8–13	-0.04	5%	1 Nov →
dust2	3–13	-0.14	12%	1 Nov →
ancient	12–16	-0.05	17%	26 Oct →
mirage	10–13	-0.01	18%	26 Oct →
dust2	13–11	-0.04	13%	26 Oct →
dust2	16–14	0.01	18%	21 Oct →
dust2	13–9	-0.01	29%	21 Oct →
mirage	4–13	-0.10	16%	17 Oct →
mirage	11–13	-0.01	16%	17 Oct →
overpass	2–13	-0.10	8%	17 Oct →
ancient	6–13	-0.08	9%	17 Oct →
dust2	13–2	0.03	19%	16 Oct →
dust2	13–4	-0.06	9%	16 Oct →
mirage	1–13	-0.14	0%	15 Oct →
inferno	13–9	-0.04	10%	15 Oct →
dust2	5–13	-0.08	13%	15 Oct →
ancient	4–13	-0.12	14%	12 Oct →
train	7–13	-0.05	11%	12 Oct →
dust2	13–6	-0.02	9%	12 Oct →
inferno	15–15	-0.04	19%	12 Oct →
ancient	2–13	-0.05	9%	12 Oct →
overpass	16–13	0.01	14%	5 Oct →
mirage	8–13	-0.04	12%	5 Oct →
mirage	13–5	0.02	7%	5 Oct →
mirage	8–13	-0.03	16%	4 Oct →
inferno	10–13	0.00	20%	4 Oct →
overpass	4–13	-0.02	10%	4 Oct →
nuke	16–13	-0.05	10%	4 Oct →
overpass	13–5	-0.08	26%	4 Oct →
overpass	13–3	0.01	10%	4 Oct →
dust2	13–7	-0.01	30%	30 Sept →
mirage	13–4	0.08	21%	30 Sept →
overpass	11–13	-0.03	28%	30 Sept →
dust2	10–13	0.11	23%	29 Sept →
dust2	9–13	-0.03	31%	28 Sept →
mirage	13–5	0.06	20%	28 Sept →
dust2	13–10	-0.06	21%	26 Sept →
dust2	13–11	-0.06	8%	26 Sept →
overpass	13–8	0.02	13%	24 Sept →
ancient	13–3	0.06	16%	24 Sept →
mirage	5–13	-0.10	3%	24 Sept →
dust2	5–13	-0.09	13%	24 Sept →
mirage	11–13	-0.03	17%	24 Sept →
inferno	11–13	-0.08	5%	22 Sept →
mirage	13–6	0.01	6%	22 Sept →
inferno	8–13	-0.02	11%	22 Sept →
dust2	8–13	-0.12	9%	21 Sept →
mirage	6–13	-0.03	16%	21 Sept →
train	13–9	-0.04	9%	21 Sept →
dust2	13–3	0.01	19%	21 Sept →
ancient	13–2	0.08	17%	21 Sept →
mirage	13–6	-0.01	11%	21 Sept →
nuke	13–7	0.00	8%	20 Sept →
dust2	9–13	-0.06	14%	20 Sept →
overpass	13–16	-0.04	11%	20 Sept →
mirage	13–11	-0.02	14%	19 Sept →
dust2	13–4	0.02	21%	19 Sept →
mirage	13–1	-0.03	9%	19 Sept →
mirage	13–3	-0.08	18%	19 Sept →
dust2	13–7	0.02	20%	19 Sept →
mirage	13–6	-0.01	3%	7 Sept →
dust2	6–13	-0.05	10%	7 Sept →
mirage	7–13	-0.11	5%	7 Sept →
mirage	13–8	-0.10	4%	6 Sept →
nuke	10–13	-0.03	11%	6 Sept →
ancient	4–13	-0.09	0%	27 Aug →
overpass	10–13	-0.05	14%	26 Aug →
ancient	13–10	-0.08	15%	26 Aug →
inferno	6–13	-0.03	10%	25 Aug →
mirage	11–13	-0.07	12%	25 Aug →
mirage	1–13	-0.14	6%	25 Aug →
mirage	13–5	-0.00	12%	25 Aug →
overpass	3–13	-0.01	12%	25 Aug →
ancient	11–13	-0.09	8%	25 Aug →
mirage	11–13	-0.11	11%	25 Aug →
ancient	8–13	-0.02	10%	24 Aug →
dust2	13–11	0.02	18%	24 Aug →
nuke	6–13	-0.02	9%	24 Aug →
mirage	7–13	-0.08	21%	23 Aug →
dust2	7–13	-0.06	11%	23 Aug →
mirage	4–13	-0.03	2%	23 Aug →
dust2	6–13	-0.08	25%	23 Aug →
ancient	9–13	-0.02	6%	23 Aug →
overpass	13–8	-0.03	18%	23 Aug →
mirage	5–13	-0.07	10%	23 Aug →
mirage	13–9	-0.00	21%	23 Aug →
mirage	13–11	-0.03	3%	23 Aug →
train	13–2	-0.04	24%	22 Aug →
overpass	4–13	-0.07	15%	22 Aug →
dust2	11–13	-0.04	19%	22 Aug →
mirage	13–5	-0.02	8%	22 Aug →
dust2	16–13	-0.02	11%	22 Aug →
mirage	13–6	-0.04	8%	22 Aug →
nuke	7–13	-0.09	5%	21 Aug →
ancient	16–14	-0.02	12%	21 Aug →
mirage	9–13	-0.06	8%	21 Aug →
dust2	13–3	-0.01	15%	21 Aug →
inferno	13–16	-0.02	9%	21 Aug →
dust2	13–0	-0.03	15%	21 Aug →