ItsSTVNX — CS2 Stats

DE76561198132086821[U:1:171821093]Steam profile ↗✓ No bans

851Tracked matches52%Win rate2023Tracked since

1,445Hours in CS14Hrs last 2 wks

CSDB Rating3.8 Learning

Premier CS Rating9,587Light Blue band · top ~56.9% of ranked players (population est.)

CSDB Leaderboard#24473 of 33341 tracked

FaceitLevel 2 · 742 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median	Level 3 median	vs Level 3
Headshot rate	35.6%	42.1%	42.1%	6.4% short
Shot accuracy	11.7%	12.9%	12.1%	0.4% short
Kill/death ratio	1.01	1.00	0.99	above
Match win rate	39.0%	42.9%	43.9%	4.8% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim48

Positioning39

Utility38

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLWLLLWLLLL

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

Aim4.8

Aggression3.6

Utility3.8

Positioning3.9

Opening Duels0.4

Clutch0.0

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 76% 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

T-side openings. Opening success drops from 45% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim4.8

Positioning3.9

Utility3.8

Mechanics4.5

Opening Duels1.9

Win Impact5.6

Composite 3.8/10 (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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time617ms−46ms

first ⅓ avg 663ms → last ⅓ avg 617ms

Headshot accuracy12.5%+0.4%

first ⅓ avg 12.1% → last ⅓ avg 12.5%

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 — mirage 13–4

13–1Biggest win — dust2

6Longest win streak

6–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 60% over 20cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	17–14	55%	-0.03
inferno	A	20	12–8	60%	-0.02
mirage	C	13	5–8	38%	-0.04
ancient	D	13	4–9	31%	-0.05
anubis	B	13	6–7	46%	-0.03
cache	D	6	1–5	17%	-0.03
nuke	—	4	0–4	0%	-0.09

Across the last 100 tracked matches.

Lifetime stats

37,754Lifetime kills

1.01K/D · Top 50% of Level 2 players

2,016Matches

39.0%Match win rate

35.6%Headshot %

11.7%Shot accuracy

3,158MVPs

761Hours (in match)

1,720Bombs planted

298Bombs defused

Most-used weapons

AK-478,796

M4A4 / M4A1-S8,360

AWP4,219

P2000 / USP-S2,525

P901,754

Glock-181,412

UMP-451,000

Galil AR879

MP7796

AUG792

Lifetime map wins

5,827dust2

2,488inferno

1,555nuke

246train

236cbble

218vertigo

35office

20dust

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

Faceit stats

Combat

103Matches

42%Win rate

0.70Avg K/D

61.0ADR

35%Headshot %

Clutches & streaks

19%1v1 clutch win

10%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	25	48%	0.79	14.5
Inferno	21	67%	0.78	12.7
Anubis	10	50%	0.70	10.8
Nuke	9	33%	0.90	14.4
Mirage	7	14%	0.61	10.7
Train	6	67%	0.54	9.3
Ancient	6	17%	0.50	9.2
Cache	5	20%	0.79	11.6

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.

12.2%Headshot accuracy

31.5%Accuracy (enemy spotted)

32.8%Spray accuracy

70.1%Counter-strafing

8.8°Preaim

600msReaction time

18.1%T opening success

45.3%CT opening success

0.59Enemies flashed / flash

3.4%Flash assists

7.11HE damage / grenade

4.07Flashes / 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 12.1596% — below the 15% mark we flag
Aim Training →
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 18.0713% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–16	-0.07	15%	26 Aug →
inferno	13–6	-0.01	23%	26 Aug →
inferno	3–13	-0.11	0%	25 Aug →
ancient	5–13	-0.07	19%	25 Aug →
dust2	11–13	-0.08	7%	24 Aug →
dust2	13–5	-0.00	17%	24 Aug →
anubis	6–13	-0.06	10%	24 Aug →
mirage	14–16	0.00	7%	20 Aug →
dust2	8–13	-0.07	10%	19 Aug →
cache	9–13	0.01	17%	19 Aug →
dust2	13–9	-0.08	15%	19 Aug →
inferno	13–2	0.05	22%	18 Aug →
ancient	9–13	-0.03	10%	18 Aug →
inferno	13–5	0.03	19%	17 Aug →
dust2	16–12	0.00	9%	17 Aug →
ancient	13–16	-0.08	16%	17 Aug →
anubis	13–5	0.02	7%	15 Aug →
cache	15–15	0.01	7%	14 Aug →
dust2	13–5	-0.07	9%	13 Aug →
anubis	13–3	-0.05	15%	12 Aug →
dust2	13–7	-0.06	22%	12 Aug →
ancient	3–13	-0.07	8%	12 Aug →
mirage	13–8	0.01	8%	12 Aug →
mirage	13–8	-0.00	11%	12 Aug →
mirage	13–8	-0.07	15%	11 Aug →
inferno	13–8	-0.06	5%	11 Aug →
inferno	13–2	-0.03	10%	11 Aug →
ancient	8–13	-0.04	12%	10 Aug →
mirage	12–16	-0.11	17%	9 Aug →
nuke	8–13	-0.11	10%	9 Aug →
dust2	10–13	-0.04	22%	9 Aug →
dust2	10–13	-0.01	15%	9 Aug →
nuke	1–13	-0.11	8%	8 Aug →
dust2	13–8	-0.01	10%	4 Aug →
anubis	9–13	-0.01	8%	4 Aug →
nuke	8–13	-0.05	23%	3 Aug →
inferno	13–6	0.01	6%	3 Aug →
dust2	13–11	-0.07	11%	3 Aug →
dust2	9–13	0.00	21%	2 Aug →
ancient	13–11	0.01	7%	2 Aug →
mirage	7–13	-0.07	11%	2 Aug →
ancient	5–13	-0.08	11%	1 Aug →
mirage	7–13	-0.09	25%	1 Aug →
anubis	8–13	-0.03	7%	31 Jul →
cache	15–15	-0.03	17%	31 Jul →
mirage	16–14	-0.06	16%	30 Jul →
anubis	13–9	-0.03	3%	30 Jul →
dust2	10–13	0.04	18%	28 Jul →
dust2	3–13	-0.06	21%	28 Jul →
anubis	3–13	-0.04	24%	27 Jul →
inferno	13–4	0.04	16%	27 Jul →
ancient	13–10	-0.04	14%	26 Jul →
inferno	13–6	-0.04	6%	26 Jul →
dust2	13–10	0.01	9%	26 Jul →
inferno	13–8	-0.03	10%	23 Jul →
inferno	13–3	0.08	9%	23 Jul →
dust2	7–13	-0.04	15%	22 Jul →
mirage	10–13	-0.08	22%	22 Jul →
dust2	0–13	-0.09	18%	22 Jul →
dust2	13–3	0.02	17%	22 Jul →
dust2	8–13	-0.06	17%	22 Jul →
dust2	1–13	-0.05	16%	22 Jul →
dust2	13–5	0.00	11%	21 Jul →
ancient	13–11	-0.06	7%	19 Jul →
dust2	13–9	0.01	16%	19 Jul →
inferno	7–13	-0.02	11%	19 Jul →
anubis	13–11	0.00	12%	18 Jul →
dust2	11–13	0.03	19%	18 Jul →
ancient	13–10	0.02	9%	16 Jul →
inferno	11–13	-0.05	10%	16 Jul →
inferno	7–13	-0.06	9%	15 Jul →
cache	13–8	-0.07	2%	14 Jul →
dust2	13–5	-0.05	14%	13 Jul →
inferno	10–13	-0.11	14%	13 Jul →
cache	10–13	-0.06	15%	12 Jul →
dust2	13–9	0.05	13%	12 Jul →
cache	6–13	-0.03	16%	12 Jul →
mirage	3–13	0.04	19%	10 Jul →
dust2	3–13	-0.04	15%	10 Jul →
anubis	13–10	-0.03	14%	10 Jul →
inferno	5–13	0.04	18%	10 Jul →
inferno	13–3	0.01	5%	9 Jul →
dust2	13–6	-0.05	15%	9 Jul →
anubis	15–15	-0.04	6%	23 Jun →
nuke	11–13	-0.09	16%	18 Jun →
anubis	6–13	-0.03	12%	16 Jun →
dust2	13–5	0.03	15%	16 Jun →
inferno	2–13	-0.10	10%	14 Jun →
ancient	6–13	-0.03	14%	14 Jun →
anubis	14–16	-0.05	4%	4 Jun →
ancient	5–13	-0.10	24%	4 Jun →
dust2	13–1	-0.05	3%	4 Jun →
inferno	11–13	-0.06	3%	3 Jun →
anubis	13–11	-0.05	10%	2 Jun →
mirage	13–4	0.10	9%	2 Jun →
dust2	18–22	-0.06	12%	2 Jun →
ancient	5–13	-0.07	14%	1 Jun →
mirage	14–16	-0.11	14%	31 May →
inferno	13–8	-0.02	12%	31 May →
dust2	16–13	-0.02	14%	30 May →