chvs — CS2 Stats

76561198112037442[U:1:151771714]Steam profile ↗✓ No bans

1,487Tracked matches46%Win rate2020Tracked since

2,856Hours in CS5Hrs last 2 wks

CSDB Rating4.6 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanLegendary Eagle

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	36.3%	42.1%	42.1%	5.8% short
Shot accuracy	17.5%	12.9%	12.1%	above
Kill/death ratio	0.86	1.00	0.99	0.13 short
Match win rate	33.7%	42.9%	43.9%	10.2% short

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

Widest gap: Match win 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

Aim59

Positioning32

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY44–47–9Last 10044%Win rateLWWLWLLWLL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim5.9

Aggression4.4

Utility4.3

Positioning3.2

Opening Duels0.2

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 79% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 596ms 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

Positioning3.2

Utility4.3

Mechanics7.5

Opening Duels0.4

Win Impact3.7

Composite 4.6/10 (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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time595ms−44ms

first ⅓ avg 639ms → last ⅓ avg 595ms

Headshot accuracy11.7%−3.0%

first ⅓ avg 14.7% → last ⅓ avg 11.7%

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

0.09Best rating — inferno 13–3

13–1Biggest win — cache

3Longest win streak

5–10In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 53% over 32ancientWeakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	32	17–15	53%	-0.02
dust2	C	23	9–14	39%	-0.03
ancient	C	17	6–11	35%	-0.03
inferno	B	14	7–7	50%	-0.01
mirage	C	13	5–8	38%	-0.01
nuke	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,848Lifetime kills

0.86K/D

5,559Matches

33.7%Match win rate

36.3%Headshot %

17.5%Shot accuracy · Top 25% of Level 2 players

7,093MVPs

2,062Hours (in match)

3,119Bombs planted

674Bombs defused

Most-used weapons

AK-4731,749

M4A4 / M4A1-S23,681

AWP5,945

P2000 / USP-S4,800

Glock-183,588

Desert Eagle2,796

FAMAS2,541

MP72,357

UMP-451,828

Five-SeveN1,693

Lifetime map wins

8,403dust2

7,200inferno

1,927nuke

453office

406cbble

338train

82vertigo

34italy

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.

11.5%Headshot accuracy

31.1%Accuracy (enemy spotted)

34.3%Spray accuracy

83.9%Counter-strafing

9.0°Preaim

596msReaction time

28.3%T opening success

33.0%CT opening success

0.44Enemies flashed / flash

3.7%Flash assists

8.80HE damage / grenade

4.55Flashes / 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 11.4932% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4441 — below the 0.5 mark we flag
Grenade Lineups →
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 28.2927% — 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.

35% win rate across 17 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
inferno	6–13	-0.10	8%	23 Aug →
ancient	13–10	-0.03	3%	20 Aug →
cache	13–10	-0.04	17%	19 Aug →
dust2	5–13	-0.07	13%	18 Aug →
ancient	13–5	-0.03	8%	18 Aug →
cache	9–13	-0.04	15%	6 Aug →
ancient	10–13	-0.10	4%	5 Aug →
cache	13–1	0.09	9%	4 Aug →
dust2	9–13	-0.02	22%	4 Aug →
mirage	8–13	-0.01	11%	3 Aug →
ancient	11–13	-0.04	13%	31 Jul →
mirage	13–4	-0.07	9%	31 Jul →
cache	13–4	-0.01	10%	30 Jul →
ancient	15–15	-0.04	3%	24 Jul →
dust2	13–7	-0.00	11%	23 Jul →
ancient	12–16	-0.01	14%	21 Jul →
ancient	12–12	-0.02	10%	21 Jul →
cache	12–12	0.00	13%	17 Jul →
ancient	12–12	0.03	12%	17 Jul →
dust2	8–13	-0.10	19%	15 Jul →
cache	3–13	-0.04	7%	14 Jul →
inferno	13–9	0.02	17%	13 Jul →
cache	13–4	-0.04	11%	9 Jul →
cache	7–13	-0.03	17%	8 Jul →
cache	13–4	-0.09	8%	7 Jul →
inferno	13–2	-0.04	5%	2 Jul →
inferno	13–3	0.09	8%	2 Jul →
mirage	4–13	0.00	12%	30 Jun →
dust2	11–13	-0.05	20%	29 Jun →
ancient	8–13	-0.07	14%	29 Jun →
inferno	8–13	-0.06	14%	25 Jun →
mirage	10–13	0.02	15%	22 Jun →
ancient	13–9	-0.02	18%	17 Jun →
cache	9–13	0.03	16%	16 Jun →
nuke	6–13	-0.01	13%	15 Jun →
cache	13–9	-0.02	19%	15 Jun →
dust2	11–13	-0.01	14%	11 Jun →
inferno	13–4	0.01	13%	11 Jun →
dust2	6–13	-0.06	16%	11 Jun →
mirage	6–13	-0.04	14%	10 Jun →
cache	12–12	-0.02	21%	9 Jun →
dust2	13–4	-0.08	20%	8 Jun →
cache	7–13	-0.08	11%	8 Jun →
cache	13–9	-0.06	4%	5 Jun →
cache	13–11	-0.04	7%	3 Jun →
cache	8–13	-0.09	9%	27 May →
cache	5–13	-0.00	20%	27 May →
dust2	7–13	-0.04	12%	25 May →
dust2	7–13	0.01	16%	24 May →
cache	13–3	0.04	13%	22 May →
cache	13–2	0.00	7%	22 May →
ancient	6–13	-0.03	18%	20 May →
cache	5–13	-0.01	16%	20 May →
cache	13–10	-0.06	8%	19 May →
cache	13–11	-0.05	10%	15 May →
cache	13–10	0.03	20%	14 May →
cache	10–13	-0.01	10%	13 May →
cache	13–4	0.04	11%	13 May →
cache	7–13	0.03	15%	12 May →
cache	12–12	0.02	13%	9 May →
cache	13–9	0.08	12%	8 May →
cache	11–13	-0.08	7%	5 May →
cache	13–11	-0.02	13%	3 May →
cache	13–11	-0.02	18%	2 May →
cache	12–12	-0.02	12%	30 Apr →
dust2	5–13	-0.09	22%	28 Apr →
dust2	2–13	-0.02	23%	27 Apr →
inferno	12–12	-0.02	9%	27 Apr →
inferno	13–2	0.03	20%	27 Apr →
dust2	6–13	-0.02	17%	25 Apr →
ancient	13–7	-0.06	12%	25 Apr →
inferno	11–13	0.00	26%	24 Apr →
mirage	10–13	-0.04	19%	21 Apr →
mirage	13–7	0.02	13%	17 Apr →
ancient	13–11	-0.01	12%	17 Apr →
mirage	10–13	-0.02	15%	15 Apr →
inferno	13–8	-0.04	17%	11 Apr →
ancient	5–13	-0.05	19%	11 Apr →
dust2	13–5	0.02	20%	9 Apr →
ancient	13–8	-0.06	14%	8 Apr →
mirage	11–13	-0.09	4%	7 Apr →
ancient	11–13	0.03	9%	5 Apr →
mirage	13–8	0.05	18%	4 Apr →
ancient	4–13	-0.03	11%	4 Apr →
inferno	13–3	0.01	11%	3 Apr →
dust2	13–7	0.03	17%	3 Apr →
dust2	5–13	0.00	12%	2 Apr →
inferno	11–13	-0.04	20%	1 Apr →
dust2	13–5	-0.01	9%	28 Mar →
mirage	13–8	0.03	18%	26 Mar →
dust2	13–6	0.03	22%	26 Mar →
inferno	14–16	-0.02	11%	21 Mar →
dust2	9–13	-0.05	15%	20 Mar →
mirage	13–8	0.00	15%	20 Mar →
inferno	15–15	0.03	11%	18 Mar →
dust2	9–13	-0.01	8%	16 Mar →
dust2	13–7	-0.01	11%	16 Mar →
dust2	13–5	-0.03	17%	14 Mar →
dust2	13–8	0.02	24%	14 Mar →
mirage	11–13	-0.03	10%	13 Mar →