psychoRZR — CS2 Stats

76561198019700634[U:1:59434906]Steam profile ↗✓ No bans

2,963Tracked matches57%Win rate2020Tracked since

2,839Hours in CS

CSDB Rating5.1 DevelopingHybrid Rifler

FaceitLevel 5 · 1,148 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=2,587), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 5 median	Level 6 median	vs Level 6
Headshot rate	46.8%	43.7%	44.7%	above
Shot accuracy	18.0%	11.8%	12.1%	above
Kill/death ratio	1.06	1.02	1.04	above
Match win rate	65.2%	45.0%	45.2%	above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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

Aim64

Positioning45

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWLWLLWLWWL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression4.8

Utility5.6

Positioning4.5

Opening Duels1.8

Clutch2.6

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 86% 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. 641ms 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

Aim6.4

Positioning4.5

Utility5.6

Mechanics7.5

Opening Duels1.8

Win Impact7.2

Composite 5.1/10 (Developing), 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-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time640ms−15ms

first ⅓ avg 655ms → last ⅓ avg 640ms

Headshot accuracy19.6%−5.9%

first ⅓ avg 25.5% → last ⅓ avg 19.6%

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

0.16Best rating — train 6–0

13–1Biggest win — dust2

5Longest win streak

11–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 65% over 23infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	12–21	36%	-0.01
mirage	S	23	15–8	65%	-0.00
anubis	A	15	9–6	60%	0.02
inferno	D	7	2–5	29%	0.01
overpass	A	7	4–3	57%	0.01
nuke	A	7	4–3	57%	-0.01
ancient	A	5	3–2	60%	-0.00
train	—	2	2–0	100%	0.07
cache	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

150,889Lifetime kills

1.06K/D · Top 50% of Level 5 players

11,659Matches

65.2%Match win rate · Top 5% of Level 5 players

46.8%Headshot % · Top 50% of Level 5 players

18.0%Shot accuracy · Top 10% of Level 5 players

12,873MVPs

2,839Hours (in match)

4,610Bombs planted

1,639Bombs defused

Most-used weapons

AK-4744,472

M4A4 / M4A1-S25,405

AWP20,015

Desert Eagle9,037

P2000 / USP-S9,029

Glock-186,044

Galil AR4,890

FAMAS4,054

SSG 083,707

MP72,822

Lifetime map wins

21,346dust2

10,923inferno

2,325nuke

1,647vertigo

1,071train

352dust

229cbble

172office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

220Matches

48%Win rate

1.04Avg K/D

73.3ADR

47%Headshot %

Clutches & streaks

33%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	33	42%	0.84	12.0
Dust2	15	20%	0.83	12.9
Anubis	13	54%	1.29	18.0
Ancient	13	54%	1.00	13.9
Nuke	8	38%	0.95	14.9
Inferno	7	57%	1.06	16.1
Overpass	6	33%	0.96	16.7
Train	5	60%	1.99	10.4

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.

19.6%Headshot accuracy

32.1%Accuracy (enemy spotted)

31.4%Spray accuracy

83.6%Counter-strafing

9.1°Preaim

641msReaction time

30.4%T opening success

44.3%CT opening success

0.60Enemies flashed / flash

3.9%Flash assists

6.88HE damage / grenade

10.10Flashes / 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 30.3577% — 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.

29% win rate across 7 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
mirage	13–11	0.03	23%	13 Jul →
cache	4–13	0.01	10%	13 Jul →
mirage	13–9	0.01	21%	25 Feb →
dust2	12–16	0.01	19%	18 Feb →
mirage	11–13	-0.08	22%	17 Feb →
dust2	13–4	-0.02	35%	17 Feb →
inferno	11–13	0.04	15%	12 Feb →
dust2	13–9	-0.04	11%	10 Feb →
dust2	13–5	0.01	13%	10 Feb →
dust2	10–13	0.04	24%	10 Feb →
mirage	13–8	0.04	25%	9 Feb →
dust2	10–13	-0.01	27%	8 Feb →
dust2	4–13	-0.07	15%	8 Feb →
mirage	13–4	-0.03	26%	7 Feb →
anubis	9–13	-0.06	20%	7 Feb →
overpass	13–11	0.02	15%	6 Feb →
dust2	16–14	0.03	27%	6 Feb →
nuke	11–13	-0.06	18%	5 Feb →
dust2	13–1	0.13	26%	5 Feb →
ancient	6–13	-0.00	29%	5 Feb →
anubis	13–11	0.00	18%	5 Feb →
anubis	13–8	0.06	17%	3 Feb →
ancient	16–13	-0.01	10%	3 Feb →
mirage	13–6	0.02	23%	2 Feb →
mirage	13–11	-0.02	16%	2 Feb →
dust2	6–13	-0.09	20%	2 Feb →
inferno	6–13	-0.04	18%	2 Feb →
inferno	13–6	0.11	20%	2 Feb →
dust2	8–13	-0.01	19%	1 Feb →
mirage	13–10	-0.02	14%	1 Feb →
mirage	13–7	-0.03	14%	1 Feb →
anubis	16–19	-0.01	16%	1 Feb →
mirage	10–13	-0.02	22%	31 Jan →
mirage	11–13	-0.02	13%	31 Jan →
anubis	6–13	0.03	22%	31 Jan →
ancient	9–13	-0.06	15%	31 Jan →
inferno	13–9	0.01	18%	29 Jan →
dust2	8–13	-0.00	11%	29 Jan →
overpass	13–6	0.03	17%	29 Jan →
ancient	13–11	-0.01	10%	29 Jan →
dust2	6–13	-0.04	9%	29 Jan →
inferno	9–13	-0.06	18%	29 Jan →
dust2	11–13	0.02	38%	29 Jan →
dust2	4–13	-0.07	35%	28 Jan →
dust2	13–8	0.03	17%	28 Jan →
mirage	13–9	-0.06	8%	27 Jan →
nuke	13–10	0.04	17%	26 Jan →
dust2	9–13	-0.02	20%	26 Jan →
dust2	13–3	0.02	12%	26 Jan →
anubis	13–11	-0.04	13%	26 Jan →
dust2	7–13	-0.02	11%	23 Jan →
nuke	3–13	-0.09	14%	23 Jan →
anubis	13–4	0.07	22%	23 Jan →
dust2	5–13	-0.03	8%	23 Jan →
mirage	13–7	-0.01	24%	22 Jan →
anubis	13–9	-0.05	23%	22 Jan →
dust2	13–3	-0.02	15%	21 Jan →
mirage	12–12	0.03	19%	21 Jan →
dust2	6–13	-0.05	23%	21 Jan →
nuke	13–11	0.01	24%	19 Jan →
dust2	5–13	-0.07	14%	19 Jan →
nuke	3–13	-0.05	12%	19 Jan →
dust2	13–5	0.02	21%	19 Jan →
overpass	13–4	0.06	18%	19 Jan →
dust2	13–5	-0.05	24%	19 Jan →
dust2	11–13	-0.05	35%	19 Jan →
anubis	6–13	-0.02	22%	19 Jan →
anubis	13–10	0.07	17%	19 Jan →
dust2	7–13	0.06	24%	19 Jan →
overpass	2–13	-0.00	32%	18 Jan →
anubis	13–10	0.07	20%	18 Jan →
inferno	11–13	0.05	23%	17 Jan →
dust2	13–11	-0.04	16%	17 Jan →
mirage	13–9	-0.04	21%	17 Jan →
anubis	13–6	0.04	25%	17 Jan →
inferno	8–13	-0.02	17%	17 Jan →
train	13–7	-0.03	20%	17 Jan →
anubis	4–13	0.03	31%	16 Jan →
mirage	13–10	0.01	34%	15 Jan →
overpass	5–13	-0.02	27%	15 Jan →
dust2	3–13	-0.06	50%	15 Jan →
dust2	10–13	-0.00	20%	15 Jan →
mirage	13–7	0.04	28%	15 Jan →
mirage	13–6	0.01	20%	14 Jan →
mirage	10–13	-0.02	29%	14 Jan →
overpass	2–13	-0.01	32%	14 Jan →
ancient	13–6	0.07	16%	14 Jan →
dust2	13–3	0.09	19%	13 Jan →
nuke	13–5	0.03	18%	13 Jan →
dust2	14–16	0.00	29%	12 Jan →
anubis	14–16	0.04	26%	12 Jan →
anubis	13–11	-0.01	24%	12 Jan →
nuke	19–17	0.02	23%	12 Jan →
dust2	9–13	-0.02	36%	11 Jan →
overpass	13–9	-0.00	34%	11 Jan →
mirage	8–13	0.01	27%	11 Jan →
mirage	13–4	0.03	17%	11 Jan →
train	6–0	0.16	33%	11 Jan →
mirage	9–13	0.12	33%	8 Jan →
mirage	4–13	-0.06	25%	8 Jan →