nza — CS2 Stats

76561197968566765[U:1:8301037]Steam profile ↗✓ No bans

2,335Tracked matches54%Win rate2020Tracked since

CSDB Rating5.0 Developing

Premier CS Rating11,854Blue band · top ~45.1% of ranked players (population est.)

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

Aim58

Positioning50

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateLWWLWLLTLW

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Aim5.8

Aggression6.4

Utility5.6

Positioning5.0

Opening Duels2.5

Clutch3.2

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 b1t 89% playstyle similarity

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

Where you differ: 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 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 654ms 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

Aim5.8

Positioning5.0

Utility5.6

Mechanics5.7

Opening Duels2.5

Win Impact6.2

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time675ms−16ms

first ⅓ avg 691ms → last ⅓ avg 675ms

Headshot accuracy19.1%−3.6%

first ⅓ avg 22.7% → last ⅓ avg 19.1%

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 — nuke 13–2

13–2Biggest win — anubis

6Longest win streak

5–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 61% over 18infernoWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	20	5–15	25%	0.01
dust2	A	18	11–7	61%	-0.00
mirage	B	15	7–8	47%	-0.01
inferno	D	15	3–12	20%	-0.02
anubis	D	10	3–7	30%	0.01
ancient	C	9	4–5	44%	-0.00
overpass	B	8	4–4	50%	-0.02
cache	—	4	2–2	50%	0.00
train	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,127Matches

51%Win rate

0.93Avg K/D

72.0ADR

49%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	225	43%	0.83	12.3
Ancient	189	56%	0.93	13.7
Dust2	166	57%	1.00	14.0
Anubis	160	53%	0.92	13.6
Nuke	102	50%	1.02	15.4
Inferno	65	38%	0.88	12.7
Overpass	39	46%	0.96	14.5
Train	26	65%	1.13	14.8

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.

18.7%Headshot accuracy

33.8%Accuracy (enemy spotted)

37.6%Spray accuracy

75.5%Counter-strafing

10.4°Preaim

654msReaction time

31.9%T opening success

47.7%CT opening success

0.50Enemies flashed / flash

3.6%Flash assists

10.25HE damage / grenade

9.25Flashes / 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 0.4951 — 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 31.8813% — below the 40% mark we flag

Spend your practice time on Inferno

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 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	0.05	33%	27 Aug →
mirage	13–8	0.01	28%	27 Aug →
dust2	13–7	0.00	19%	27 Aug →
mirage	8–13	0.03	9%	27 Aug →
cache	13–9	0.02	10%	25 Aug →
nuke	7–13	0.04	22%	21 Aug →
mirage	6–13	-0.06	9%	21 Aug →
dust2	15–15	-0.03	27%	21 Aug →
mirage	11–13	0.02	13%	21 Aug →
ancient	13–4	-0.03	24%	21 Aug →
cache	16–12	0.01	17%	21 Aug →
ancient	13–10	0.06	16%	4 Aug →
inferno	13–10	-0.03	32%	4 Aug →
ancient	13–11	-0.03	19%	1 Aug →
mirage	13–6	0.14	11%	1 Aug →
inferno	13–16	-0.04	28%	1 Aug →
cache	8–13	-0.08	16%	1 Aug →
dust2	13–7	0.02	20%	1 Aug →
nuke	13–6	0.04	23%	10 Jul →
mirage	4–13	-0.04	19%	10 Jul →
dust2	13–6	-0.02	15%	10 Jul →
anubis	10–13	-0.03	14%	10 Jul →
cache	14–16	0.05	19%	10 Jul →
ancient	12–16	0.01	16%	10 Jul →
anubis	13–10	0.02	13%	19 Jun →
mirage	6–13	-0.01	16%	16 Jun →
mirage	13–6	-0.01	11%	13 Jun →
anubis	5–13	0.06	16%	23 May →
mirage	13–8	-0.03	15%	1 May →
anubis	15–15	0.01	24%	1 May →
dust2	13–7	0.03	29%	1 May →
ancient	4–13	0.03	16%	1 May →
nuke	10–13	0.07	31%	1 May →
inferno	6–13	-0.06	17%	2 Apr →
dust2	5–13	-0.04	21%	2 Apr →
ancient	9–13	0.00	17%	2 Apr →
dust2	6–13	-0.04	29%	2 Apr →
nuke	13–11	-0.02	30%	2 Apr →
dust2	7–13	0.13	28%	2 Apr →
overpass	16–13	0.04	16%	2 Apr →
inferno	13–16	-0.04	18%	20 Mar →
ancient	7–13	-0.03	16%	20 Mar →
overpass	2–9	-0.10	29%	20 Mar →
inferno	5–9	-0.06	24%	20 Mar →
anubis	6–13	-0.04	27%	20 Mar →
inferno	10–13	-0.01	14%	20 Mar →
anubis	2–12	-0.03	25%	13 Mar →
dust2	4–13	-0.06	33%	13 Mar →
nuke	6–13	0.05	14%	13 Mar →
inferno	10–13	-0.01	16%	13 Mar →
anubis	5–13	-0.06	11%	7 Mar →
mirage	13–8	-0.00	23%	6 Mar →
dust2	13–11	-0.01	27%	6 Mar →
overpass	13–10	-0.06	12%	6 Mar →
nuke	11–13	-0.01	35%	6 Mar →
overpass	5–13	-0.09	19%	6 Mar →
inferno	5–13	-0.10	6%	6 Mar →
nuke	4–13	0.01	27%	28 Feb →
mirage	13–8	0.02	17%	28 Feb →
nuke	15–15	-0.04	22%	28 Feb →
ancient	9–13	-0.04	14%	28 Feb →
anubis	13–2	0.11	19%	28 Feb →
nuke	13–2	0.16	23%	28 Feb →
overpass	13–8	0.07	30%	28 Feb →
overpass	13–9	-0.01	13%	28 Feb →
dust2	4–13	-0.06	23%	21 Feb →
anubis	7–13	0.04	25%	21 Feb →
mirage	10–13	-0.03	26%	20 Feb →
dust2	13–10	-0.00	31%	20 Feb →
mirage	9–13	-0.06	14%	20 Feb →
inferno	2–13	-0.06	24%	20 Feb →
mirage	10–13	-0.04	22%	20 Feb →
overpass	4–13	0.01	15%	20 Feb →
nuke	6–13	-0.02	21%	20 Feb →
nuke	4–13	0.00	12%	20 Feb →
mirage	16–12	-0.01	21%	7 Feb →
nuke	9–13	-0.03	11%	7 Feb →
anubis	16–14	0.03	20%	7 Feb →
inferno	13–9	0.09	16%	7 Feb →
nuke	11–13	-0.02	12%	6 Feb →
inferno	6–13	0.04	22%	6 Feb →
nuke	13–3	0.04	18%	6 Feb →
dust2	13–10	0.01	24%	24 Dec →
inferno	3–13	-0.07	19%	24 Dec →
dust2	13–10	0.01	47%	24 Dec →
nuke	11–13	-0.03	13%	24 Dec →
dust2	10–13	0.01	30%	24 Dec →
nuke	2–9	-0.04	54%	24 Dec →
train	13–7	0.08	21%	22 Dec →
dust2	13–8	0.09	15%	22 Dec →
inferno	13–9	0.02	28%	17 Dec →
nuke	9–13	0.00	29%	12 Dec →
nuke	10–13	-0.01	40%	12 Dec →
nuke	13–9	0.02	28%	12 Dec →
dust2	16–13	-0.03	11%	8 Dec →
inferno	6–13	0.02	14%	8 Dec →
inferno	5–13	-0.04	18%	29 Nov →
ancient	16–14	0.02	21%	28 Nov →
dust2	13–10	-0.02	26%	28 Nov →
overpass	11–13	-0.01	24%	28 Nov →