nitzie — CS2 Stats

76561198203086387[U:1:242820659]VAC banned

1,654Tracked matches53%Win rate2020Tracked since

CSDB Rating7.3 StrongAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim97

Positioning64

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWWLLLLWLWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.7

Aggression9.9

Utility6.4

Positioning6.4

Opening Duels5.2

Clutch3.6

Sharp aimerStrong CT-side opener

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 sh1ro 97% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 97 — the mechanical foundation is a clear strength.

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 34 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.

T-side openings. Opening success drops from 68% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.7

Positioning6.4

Utility6.4

Mechanics6.6

Opening Duels5.2

Win Impact6.1

Composite 7.3/10 (Strong), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time419ms−35ms

first ⅓ avg 454ms → last ⅓ avg 419ms

Headshot accuracy29.8%−1.1%

first ⅓ avg 30.8% → last ⅓ avg 29.8%

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

0.20Best rating — nuke 13–2

13–1Biggest win — ancient

8Longest win streak

W2Current streak

7–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 73% over 26infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	26	19–7	73%	0.03
dust2	B	23	11–12	48%	0.02
ancient	A	18	11–7	61%	0.01
mirage	C	13	5–8	38%	0.02
inferno	D	12	3–9	25%	-0.01
anubis	D	6	2–4	33%	0.02
cache	—	1	1–0	100%	0.05
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,075Matches

64%Win rate

1.57Avg K/D

91.4ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

18Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	611	61%	1.49	19.7
Dust2	362	65%	1.53	19.6
Ancient	253	58%	1.41	17.8
Anubis	212	66%	1.46	18.9
Nuke	132	55%	1.47	17.7
Overpass	53	62%	1.58	18.0
Train	31	42%	1.28	18.6
Inferno	12	75%	1.46	18.7

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.

28.6%Headshot accuracy

43.1%Accuracy (enemy spotted)

41.0%Spray accuracy

79.7%Counter-strafing

7.4°Preaim

418msReaction time

34.2%T opening success

67.8%CT opening success

0.69Enemies flashed / flash

15.5%Flash assists

6.42HE damage / grenade

13.53Flashes / 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.

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 34.213% — 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.

25% win rate across 12 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
cache	13–10	0.05	35%	27 Aug →
ancient	13–7	0.04	43%	27 Aug →
ancient	2–13	-0.05	18%	25 Aug →
dust2	11–13	0.01	30%	25 Aug →
inferno	6–13	-0.00	19%	24 Aug →
ancient	9–13	0.01	24%	24 Aug →
nuke	13–7	0.04	28%	22 Aug →
dust2	10–13	-0.03	31%	22 Aug →
inferno	13–9	0.02	28%	22 Aug →
nuke	13–6	0.06	50%	12 Aug →
mirage	13–3	0.13	23%	8 Aug →
dust2	10–13	-0.06	25%	8 Aug →
ancient	8–13	0.02	25%	8 Aug →
ancient	13–5	0.02	29%	8 Aug →
nuke	13–6	-0.01	48%	8 Aug →
inferno	10–13	0.00	30%	8 Aug →
mirage	9–13	0.01	24%	7 Aug →
nuke	13–10	0.05	21%	7 Aug →
ancient	13–10	0.04	29%	7 Aug →
ancient	13–9	0.01	20%	5 Aug →
dust2	13–9	0.02	18%	5 Aug →
inferno	3–13	-0.06	19%	19 Jun →
nuke	5–13	-0.05	23%	19 Jun →
dust2	11–13	0.00	19%	18 Jun →
mirage	8–13	0.05	35%	18 Jun →
nuke	13–6	0.04	33%	18 Jun →
dust2	13–7	-0.03	15%	14 Jun →
ancient	13–1	0.13	55%	14 Jun →
anubis	6–13	-0.04	26%	14 Jun →
nuke	13–7	0.03	45%	13 Jun →
dust2	13–4	0.15	44%	13 Jun →
nuke	10–13	0.00	24%	13 Jun →
ancient	8–13	-0.00	48%	13 Jun →
overpass	9–13	-0.02	35%	11 Jun →
mirage	7–13	0.01	47%	11 Jun →
nuke	13–5	0.04	22%	11 Jun →
nuke	11–13	0.01	24%	9 Jun →
dust2	13–16	0.02	20%	9 Jun →
dust2	13–6	0.06	36%	9 Jun →
ancient	16–13	0.03	14%	9 Jun →
dust2	8–13	0.03	19%	5 Jun →
nuke	9–13	-0.03	30%	5 Jun →
nuke	13–16	0.01	18%	27 May →
mirage	5–13	-0.02	33%	27 May →
ancient	13–2	0.03	24%	25 May →
inferno	13–5	0.04	31%	25 May →
ancient	13–6	-0.03	17%	25 May →
anubis	12–16	0.03	28%	25 May →
dust2	11–13	-0.00	14%	25 May →
dust2	19–17	-0.01	7%	23 May →
ancient	7–13	-0.04	23%	23 May →
mirage	13–2	-0.04	22%	23 May →
nuke	9–13	-0.01	13%	23 May →
dust2	13–3	0.07	24%	23 May →
inferno	13–9	0.09	15%	23 May →
nuke	13–10	0.05	38%	23 May →
ancient	13–11	0.02	36%	23 May →
anubis	19–16	0.05	12%	22 May →
nuke	13–7	0.03	27%	22 May →
nuke	13–7	-0.00	10%	22 May →
anubis	13–3	0.04	35%	22 May →
inferno	7–13	-0.02	5%	22 May →
dust2	5–13	0.00	38%	22 May →
ancient	8–13	0.04	43%	19 May →
nuke	13–11	0.08	31%	19 May →
inferno	2–13	-0.05	20%	19 May →
inferno	5–13	-0.04	0%	16 May →
mirage	13–11	0.06	25%	16 May →
dust2	13–9	0.05	44%	16 May →
nuke	6–13	0.02	21%	15 May →
inferno	7–13	-0.03	24%	15 May →
dust2	5–13	0.01	32%	12 May →
nuke	13–10	0.00	29%	12 May →
inferno	6–13	-0.02	67%	12 May →
dust2	8–1	0.06	17%	10 May →
inferno	3–13	-0.03	21%	10 May →
nuke	13–7	0.06	50%	10 May →
anubis	3–13	-0.01	19%	9 May →
dust2	11–13	0.04	33%	9 May →
nuke	13–7	0.04	12%	7 May →
dust2	7–13	-0.02	5%	7 May →
mirage	16–13	0.10	38%	7 May →
dust2	10–13	0.03	38%	6 May →
ancient	16–14	0.02	62%	6 May →
dust2	19–17	-0.01	27%	6 May →
nuke	19–17	0.04	52%	6 May →
anubis	11–13	0.06	43%	1 May →
ancient	4–13	-0.04	22%	1 May →
nuke	13–5	0.03	24%	30 Apr →
ancient	16–13	0.03	16%	30 Apr →
dust2	13–8	-0.03	24%	22 Apr →
mirage	10–13	-0.02	29%	22 Apr →
dust2	13–8	0.08	43%	22 Apr →
mirage	15–19	0.01	18%	22 Apr →
mirage	13–9	-0.03	37%	31 Mar →
mirage	7–13	0.08	23%	26 Feb →
nuke	13–2	0.20	33%	22 Feb →
nuke	13–2	0.05	35%	22 Feb →
nuke	13–8	0.08	41%	21 Feb →
mirage	8–13	-0.02	15%	21 Feb →