jlavs4 — CS2 Stats

US76561197962887165[U:1:2621437]Steam profile ↗✓ No bans

860Tracked matches40%Win rate2021Tracked since

CSDB Rating3.3 Learning

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim53

Positioning29

Utility15

0–100 skill scores via Leetify.

Recent form

COLD40–50–10Last 10040%Win rateWWWTLTTLLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim5.3

Aggression0.6

Utility1.5

Positioning2.9

Opening Duels0.0

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 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 773ms 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

Aim5.3

Positioning2.9

Utility1.5

Mechanics4.6

Opening Duels0.0

Win Impact1.7

Composite 3.3/10 (Learning), 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-0.02+0.02

first ⅓ avg -0.05 → last ⅓ avg -0.02

Reaction time768ms+75ms

first ⅓ avg 693ms → last ⅓ avg 768ms

Headshot accuracy17.6%+2.7%

first ⅓ avg 14.9% → last ⅓ avg 17.6%

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.

Highlights

0.07Best rating — dust2 13–5

13–3Biggest win — dust2

5Longest win streak

W3Current streak

3–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 59% over 17cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	40	12–28	30%	-0.03
inferno	A	17	10–7	59%	-0.04
mirage	C	15	6–9	40%	-0.03
nuke	A	12	7–5	58%	-0.04
train	C	9	4–5	44%	-0.05
cache	D	6	1–5	17%	-0.08
ancient	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

162Matches

44%Win rate

0.60Avg K/D

—ADR

40%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	58%	0.79	9.8
Dust2	15	60%	0.71	9.9
Ancient	8	75%	0.61	8.5
Nuke	7	43%	0.58	8.3
Vertigo	3	33%	0.61	10.3
Inferno	3	67%	0.83	12.0
Overpass	1	0%	1.00	20.0

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.

17.5%Headshot accuracy

38.2%Accuracy (enemy spotted)

39.3%Spray accuracy

70.7%Counter-strafing

9.5°Preaim

773msReaction time

16.8%T opening success

24.6%CT opening success

0.19Enemies flashed / flash

4.9%Flash assists

3.25HE damage / grenade

2.05Flashes / 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 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 772.801ms — above the 700ms 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 0.1856 — 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 16.8297% — 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
dust2	13–7	0.00	19%	25 Aug →
dust2	13–4	0.03	22%	23 Aug →
dust2	13–11	-0.06	29%	23 Aug →
dust2	12–12	-0.01	14%	23 Aug →
mirage	6–13	-0.04	25%	23 Aug →
cache	12–12	-0.11	26%	15 Aug →
dust2	12–12	-0.05	13%	15 Aug →
dust2	5–13	-0.03	19%	11 Aug →
dust2	6–13	0.00	19%	11 Aug →
nuke	5–13	-0.03	11%	8 Aug →
nuke	5–13	-0.08	17%	19 Jul →
inferno	7–13	-0.09	32%	19 Jul →
mirage	10–13	-0.08	17%	5 Jul →
cache	6–13	-0.06	12%	5 Jul →
dust2	5–13	-0.08	16%	5 Jul →
dust2	13–6	-0.01	17%	22 Jun →
dust2	12–12	-0.00	10%	22 Jun →
dust2	12–12	0.03	13%	21 Jun →
dust2	8–13	0.02	17%	20 Jun →
dust2	13–7	0.02	17%	19 Jun →
mirage	13–6	0.03	18%	18 Jun →
dust2	9–13	0.02	11%	14 Jun →
mirage	13–7	0.01	15%	14 Jun →
cache	10–13	-0.01	17%	13 Jun →
dust2	13–3	0.06	16%	13 Jun →
mirage	13–11	-0.01	16%	6 Jun →
dust2	7–13	-0.01	11%	1 Jun →
mirage	7–13	0.00	26%	30 May →
dust2	13–5	0.07	14%	30 May →
cache	5–13	-0.13	21%	30 May →
nuke	13–5	-0.07	17%	10 May →
nuke	12–12	-0.11	9%	8 May →
dust2	13–9	-0.04	27%	8 May →
inferno	3–9	-0.07	50%	3 May →
inferno	7–9	-0.13	7%	3 May →
cache	11–13	-0.07	23%	1 May →
cache	13–9	-0.09	18%	30 Apr →
dust2	6–13	-0.06	15%	30 Apr →
inferno	5–9	-0.07	17%	30 Apr →
train	13–4	-0.06	25%	28 Apr →
dust2	13–5	-0.03	21%	28 Apr →
nuke	13–7	-0.05	21%	27 Apr →
train	9–13	-0.08	11%	25 Apr →
dust2	5–13	-0.06	11%	25 Apr →
nuke	13–4	-0.04	27%	23 Apr →
dust2	13–8	-0.00	16%	23 Apr →
train	3–13	-0.05	30%	19 Apr →
mirage	13–8	-0.07	14%	19 Apr →
dust2	13–6	0.02	5%	18 Apr →
inferno	13–5	0.00	19%	10 Apr →
dust2	6–13	-0.06	8%	10 Apr →
dust2	12–12	-0.06	17%	5 Apr →
train	13–7	-0.06	28%	4 Apr →
dust2	8–13	-0.06	28%	4 Apr →
nuke	13–6	0.00	12%	3 Apr →
inferno	13–9	-0.03	9%	29 Mar →
dust2	13–5	0.01	13%	29 Mar →
nuke	13–8	0.06	17%	28 Mar →
inferno	2–4	-0.04	13%	28 Mar →
dust2	9–13	-0.11	13%	28 Mar →
mirage	12–12	0.03	15%	28 Mar →
inferno	13–4	0.02	16%	16 Mar →
dust2	9–13	-0.03	18%	16 Mar →
mirage	11–13	-0.00	13%	15 Mar →
inferno	13–3	-0.06	10%	15 Mar →
train	13–7	-0.06	9%	14 Mar →
dust2	7–13	-0.13	8%	14 Mar →
ancient	3–13	-0.00	28%	14 Mar →
inferno	13–3	-0.05	15%	14 Mar →
inferno	9–13	-0.08	14%	13 Mar →
dust2	11–13	-0.06	10%	11 Mar →
mirage	0–13	-0.09	5%	9 Mar →
dust2	8–13	-0.01	24%	8 Mar →
train	6–13	-0.01	15%	1 Mar →
mirage	13–9	-0.06	19%	1 Mar →
inferno	13–7	-0.01	12%	28 Feb →
mirage	7–13	-0.12	9%	28 Feb →
dust2	10–13	-0.14	3%	28 Feb →
nuke	11–13	-0.06	15%	27 Feb →
train	8–13	-0.10	11%	27 Feb →
dust2	11–13	-0.02	5%	27 Feb →
inferno	13–6	-0.02	15%	26 Feb →
dust2	5–13	-0.11	13%	26 Feb →
nuke	13–6	-0.05	7%	25 Feb →
inferno	13–3	-0.03	17%	25 Feb →
mirage	7–13	-0.04	18%	24 Feb →
nuke	4–13	-0.04	3%	24 Feb →
dust2	4–13	-0.02	9%	24 Feb →
inferno	1–13	-0.07	15%	24 Feb →
train	13–7	-0.03	19%	24 Feb →
inferno	12–12	-0.03	21%	23 Feb →
train	7–13	-0.01	28%	23 Feb →
mirage	9–2	-0.06	7%	23 Feb →
dust2	9–13	-0.08	15%	23 Feb →
dust2	12–12	-0.05	24%	22 Feb →
mirage	11–13	-0.01	27%	22 Feb →
inferno	13–5	0.00	9%	22 Feb →
nuke	13–8	-0.01	22%	22 Feb →
dust2	6–13	0.00	17%	22 Feb →
dust2	12–16	-0.05	19%	21 Feb →