Ouazz — CS2 Stats

76561198014252874[U:1:53987146]✓ No bans

693Tracked matches17%Win rate2022Tracked since

CSDB Rating3.7 Learning

FaceitLevel 8 · 1,421 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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

Aim50

Positioning45

Utility57

0–100 skill scores via Leetify.

Recent form

COLD38–59–3Last 10038%Win rateLLWTLLWLWL

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

Player DNA

Aim5.0

Aggression5.2

Utility5.7

Positioning4.5

Opening Duels0.7

Clutch3.8

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 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

Aim5.0

Positioning4.5

Utility5.7

Mechanics5.6

Opening Duels0.7

Win Impact0.0

Composite 3.7/10 (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-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time600ms+4ms

first ⅓ avg 596ms → last ⅓ avg 600ms

Headshot accuracy14.3%−1.5%

first ⅓ avg 15.8% → last ⅓ avg 14.3%

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 8–13

13–3Biggest win — inferno

4Longest win streak

L2Current streak

9–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	31	13–18	42%	-0.01
mirage	B	18	9–9	50%	0.01
inferno	D	14	4–10	29%	-0.01
overpass	D	12	3–9	25%	-0.01
nuke	D	10	2–8	20%	-0.03
ancient	B	6	3–3	50%	0.03
anubis	A	5	3–2	60%	-0.00
cache	—	3	1–2	33%	-0.04
office	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

886Matches

51%Win rate

1.13Avg K/D

79.9ADR

38%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	134	55%	1.09	16.6
Mirage	98	53%	1.07	16.4
Inferno	54	39%	1.13	15.8
Nuke	35	54%	1.04	15.6
Overpass	22	59%	1.04	16.2
Cache	12	58%	1.03	15.6
Ancient	12	33%	0.99	14.5
Anubis	5	40%	1.34	15.0

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.

14.2%Headshot accuracy

33.3%Accuracy (enemy spotted)

35.4%Spray accuracy

75.1%Counter-strafing

11.9°Preaim

600msReaction time

30.7%T opening success

35.1%CT opening success

0.72Enemies flashed / flash

5.2%Flash assists

6.86HE damage / grenade

11.01Flashes / 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 14.1667% — 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 30.6681% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	0.04	16%	21 Jul →
mirage	10–13	0.03	15%	14 Jul →
dust2	13–4	0.06	29%	14 Jul →
dust2	15–15	-0.02	12%	14 Jul →
inferno	8–13	0.01	8%	14 Jul →
dust2	5–13	-0.08	21%	14 Jul →
anubis	13–8	0.03	20%	13 Jul →
dust2	4–13	-0.03	23%	13 Jul →
cache	13–10	0.00	11%	13 Jul →
cache	6–13	-0.06	19%	9 Jul →
dust2	4–13	-0.01	5%	2 Jul →
mirage	13–10	-0.02	16%	30 Jun →
overpass	9–13	-0.04	12%	30 Jun →
dust2	13–10	0.01	16%	30 Jun →
mirage	8–13	0.02	19%	29 Jun →
office	3–13	-0.01	25%	14 Jun →
dust2	3–13	-0.05	25%	14 Jun →
overpass	10–13	-0.03	9%	13 Jun →
mirage	11–13	0.03	12%	13 Jun →
mirage	12–16	0.01	10%	12 Jun →
dust2	16–19	0.01	11%	12 Jun →
cache	8–13	-0.06	19%	11 Jun →
anubis	11–13	-0.01	14%	10 Jun →
nuke	6–13	0.03	14%	1 Jun →
dust2	6–13	-0.04	10%	31 May →
dust2	0–13	-0.10	0%	31 May →
dust2	10–13	-0.07	11%	13 May →
dust2	14–16	0.01	15%	4 May →
overpass	6–13	-0.02	9%	4 May →
nuke	6–13	-0.04	9%	4 May →
dust2	13–6	-0.02	19%	29 Apr →
inferno	13–4	0.02	8%	27 Apr →
inferno	9–13	0.01	13%	21 Apr →
dust2	10–13	-0.03	16%	13 Apr →
inferno	5–13	-0.00	11%	13 Apr →
mirage	13–5	0.03	16%	12 Apr →
overpass	13–5	0.05	14%	12 Apr →
ancient	7–13	-0.02	18%	12 Apr →
inferno	10–13	-0.03	20%	8 Apr →
mirage	13–9	0.06	17%	8 Apr →
dust2	11–13	-0.05	14%	8 Apr →
dust2	15–19	-0.01	17%	31 Mar →
overpass	13–11	-0.01	16%	30 Mar →
nuke	10–13	-0.07	12%	24 Mar →
nuke	9–13	-0.06	7%	23 Mar →
overpass	5–13	0.00	15%	18 Mar →
overpass	13–9	0.06	24%	18 Mar →
dust2	5–13	-0.06	16%	4 Mar →
nuke	9–13	-0.02	14%	4 Mar →
mirage	13–10	-0.00	6%	3 Mar →
mirage	8–13	0.10	14%	2 Mar →
mirage	16–14	0.07	12%	2 Mar →
mirage	13–11	0.00	9%	27 Feb →
mirage	7–13	-0.03	15%	27 Feb →
dust2	13–8	0.02	29%	27 Feb →
dust2	13–7	0.04	17%	27 Feb →
nuke	11–13	-0.05	6%	25 Feb →
mirage	7–13	-0.06	11%	24 Feb →
inferno	8–13	-0.07	8%	23 Feb →
inferno	13–3	-0.00	9%	23 Feb →
ancient	4–13	0.02	6%	23 Feb →
ancient	13–11	0.02	21%	23 Feb →
overpass	11–13	0.04	21%	23 Feb →
mirage	13–4	0.06	17%	23 Feb →
inferno	1–13	-0.05	6%	23 Feb →
anubis	13–7	-0.00	14%	23 Feb →
inferno	4–13	-0.06	24%	22 Feb →
dust2	13–9	-0.02	21%	22 Feb →
overpass	6–13	-0.07	16%	22 Feb →
mirage	13–10	0.02	22%	22 Feb →
overpass	15–15	-0.04	9%	22 Feb →
inferno	13–4	0.06	15%	21 Feb →
dust2	13–10	-0.04	17%	21 Feb →
dust2	13–7	0.07	19%	21 Feb →
mirage	7–13	-0.03	20%	21 Feb →
dust2	8–13	0.03	23%	21 Feb →
nuke	16–14	-0.00	15%	21 Feb →
ancient	13–10	0.07	19%	21 Feb →
dust2	8–13	-0.01	19%	21 Feb →
mirage	5–13	-0.05	14%	20 Feb →
dust2	13–6	0.02	11%	20 Feb →
nuke	13–7	-0.02	17%	20 Feb →
dust2	13–3	0.05	23%	20 Feb →
anubis	13–8	0.02	23%	20 Feb →
dust2	11–13	-0.02	14%	19 Feb →
dust2	13–8	0.06	13%	19 Feb →
inferno	10–13	0.08	9%	19 Feb →
dust2	16–14	0.06	20%	19 Feb →
anubis	9–13	-0.06	14%	19 Feb →
nuke	14–16	-0.00	13%	19 Feb →
inferno	13–8	0.04	20%	19 Feb →
nuke	9–13	-0.05	17%	18 Feb →
inferno	1–13	-0.09	7%	18 Feb →
ancient	13–11	0.06	10%	18 Feb →
inferno	6–13	0.02	13%	18 Feb →
overpass	15–15	0.04	19%	18 Feb →
mirage	13–11	-0.05	11%	18 Feb →
overpass	8–13	-0.06	10%	18 Feb →
dust2	16–14	-0.03	17%	17 Feb →
ancient	10–13	0.02	14%	17 Feb →