Lazurite — CS2 Stats

76561198274852841[U:1:314587113]Steam profile ↗✓ No bans

1,263Tracked matches41%Win rate2020Tracked since

CSDB Rating4.6 DevelopingClutch Specialist

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim72

Positioning41

Utility15

0–100 skill scores via Leetify.

Recent form

COLD42–49–9Last 10042%Win rateTLLLWWTLWL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim7.2

Aggression4.9

Utility1.5

Positioning4.1

Opening Duels1.2

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 80% playstyle similarity

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

Where you differ: lower aim profile; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Reaction time. 687ms 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

Aim7.2

Positioning4.1

Utility1.5

Mechanics7.2

Opening Duels1.2

Win Impact1.9

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-0.02−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time675ms−20ms

first ⅓ avg 695ms → last ⅓ avg 675ms

Headshot accuracy20.2%+0.8%

first ⅓ avg 19.3% → last ⅓ avg 20.2%

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

0.16Best rating — inferno 9–2

13–1Biggest win — inferno

3Longest win streak

7–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 64% over 25nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	25	16–9	64%	-0.03
dust2	D	19	5–14	26%	0.00
cache	D	15	4–11	27%	-0.01
mirage	A	14	8–6	57%	-0.02
nuke	D	8	2–6	25%	-0.02
ancient	D	6	2–4	33%	-0.01
overpass	—	4	1–3	25%	0.02
vertigo	—	3	1–2	33%	-0.04
anubis	—	3	2–1	67%	0.02
shelter	—	1	1–0	100%	0.06
fachwerk	—	1	0–1	0%	0.01
stronghold	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches

59%Win rate

0.98Avg K/D

75.2ADR

42%Headshot %

Clutches & streaks

71%1v1 clutch win

43%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	67%	0.80	14.0
Nuke	2	50%	0.97	16.0
Dust2	2	0%	0.99	17.5
Ancient	2	50%	1.22	14.5
Inferno	1	100%	2.09	23.0
Overpass	1	100%	1.00	12.0

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.

20.7%Headshot accuracy

37.3%Accuracy (enemy spotted)

39.9%Spray accuracy

82.2%Counter-strafing

9.7°Preaim

687msReaction time

31.6%T opening success

37.9%CT opening success

0.33Enemies flashed / flash

0.9%Flash assists

2.27HE damage / grenade

4.20Flashes / 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.

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 0.3253 — 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 31.5731% — 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.

25% win rate across 8 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
inferno	8–8	0.01	24%	29 Aug →
cache	2–8	-0.08	13%	22 Aug →
dust2	1–4	-0.01	14%	22 Aug →
mirage	2–13	-0.06	7%	22 Aug →
dust2	13–11	0.04	17%	17 Aug →
inferno	9–6	0.07	33%	10 Aug →
nuke	12–12	-0.01	20%	10 Aug →
mirage	7–13	-0.06	15%	10 Aug →
mirage	4–1	-0.02	6%	8 Aug →
cache	4–13	0.00	20%	8 Aug →
nuke	3–13	0.01	39%	4 Aug →
vertigo	13–6	-0.07	19%	4 Aug →
dust2	12–12	0.07	13%	3 Aug →
inferno	9–7	-0.10	37%	15 Jul →
mirage	13–5	-0.05	20%	15 Jul →
anubis	12–16	-0.00	9%	13 Jul →
dust2	8–13	-0.07	3%	13 Jul →
shelter	13–10	0.06	27%	13 Jul →
cache	13–6	0.01	17%	13 Jul →
fachwerk	9–13	0.01	23%	10 Jul →
inferno	0–9	-0.22	8%	10 Jul →
inferno	7–2	0.02	29%	10 Jul →
ancient	9–13	-0.07	18%	9 Jul →
nuke	7–13	-0.04	24%	7 Jul →
nuke	13–2	0.01	41%	7 Jul →
cache	11–13	-0.02	24%	7 Jul →
inferno	5–9	0.03	23%	7 Jul →
inferno	9–6	-0.12	27%	7 Jul →
inferno	9–6	-0.01	26%	7 Jul →
nuke	7–13	-0.07	14%	6 Jul →
ancient	13–6	0.05	19%	6 Jul →
mirage	13–9	-0.04	23%	6 Jul →
inferno	8–8	-0.06	13%	6 Jul →
mirage	13–6	0.04	24%	6 Jul →
ancient	12–12	0.04	19%	6 Jul →
anubis	13–7	0.01	18%	1 Jul →
inferno	9–7	0.02	19%	1 Jul →
inferno	1–9	-0.20	17%	1 Jul →
cache	11–13	0.01	37%	22 Jun →
dust2	4–13	-0.00	35%	22 Jun →
inferno	6–9	-0.13	13%	22 Jun →
cache	10–13	-0.03	30%	20 Jun →
overpass	8–8	0.09	19%	3 Jun →
inferno	5–9	-0.03	18%	1 Jun →
vertigo	5–9	-0.09	13%	26 May →
inferno	9–6	-0.06	9%	26 May →
mirage	13–11	-0.01	14%	25 May →
nuke	10–13	-0.01	22%	25 May →
overpass	8–13	0.03	37%	25 May →
dust2	0–13	-0.06	9%	25 May →
mirage	13–7	0.01	21%	25 May →
dust2	11–13	0.08	23%	24 May →
overpass	9–4	0.00	17%	24 May →
dust2	12–12	-0.03	34%	23 May →
stronghold	3–13	-0.03	24%	23 May →
dust2	8–13	-0.00	11%	23 May →
mirage	13–2	0.10	31%	22 May →
mirage	1–13	-0.06	18%	22 May →
ancient	13–11	-0.01	15%	21 May →
dust2	13–8	-0.07	23%	21 May →
dust2	13–11	-0.01	30%	21 May →
inferno	5–9	0.02	32%	19 May →
cache	11–13	-0.01	19%	19 May →
dust2	8–13	0.04	22%	19 May →
dust2	7–13	0.03	15%	17 May →
inferno	13–1	0.12	33%	17 May →
dust2	7–13	-0.09	29%	17 May →
mirage	6–13	-0.13	17%	17 May →
dust2	7–13	-0.03	22%	17 May →
mirage	8–13	-0.01	19%	17 May →
inferno	9–5	0.16	34%	17 May →
dust2	6–13	-0.06	22%	16 May →
ancient	12–12	-0.04	15%	16 May →
cache	13–4	-0.02	18%	16 May →
overpass	9–13	-0.03	18%	14 May →
cache	7–13	-0.02	11%	14 May →
anubis	13–6	0.06	7%	14 May →
nuke	6–9	-0.14	13%	7 May →
ancient	6–13	-0.02	24%	6 May →
dust2	13–7	0.06	11%	6 May →
inferno	9–5	-0.00	17%	5 May →
vertigo	8–8	0.05	21%	4 May →
inferno	9–4	-0.19	12%	4 May →
dust2	13–10	0.06	25%	4 May →
inferno	9–4	0.05	14%	4 May →
cache	10–13	-0.05	16%	3 May →
cache	13–6	-0.02	32%	3 May →
cache	13–8	-0.02	27%	3 May →
mirage	4–13	-0.06	12%	3 May →
nuke	9–5	0.09	30%	3 May →
mirage	13–8	0.02	16%	3 May →
inferno	9–6	0.03	11%	3 May →
inferno	0–9	-0.25	0%	2 May →
inferno	9–7	0.04	29%	2 May →
inferno	9–2	0.16	35%	2 May →
inferno	9–5	0.01	16%	2 May →
dust2	6–13	0.07	27%	30 Apr →
cache	7–13	0.01	29%	29 Apr →
cache	7–13	0.03	17%	29 Apr →
cache	10–13	-0.03	24%	29 Apr →