SZQR G1BSON — CS2 Stats

US76561199029068648[U:1:1068802920]Steam profile ↗✓ No bans

2,556Tracked matches25%Win rate2022Tracked since

1,724Hours in CS

CSDB Rating4.9 DevelopingHybrid Rifler

FaceitLevel 8 · 1,745 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning42

Utility50

0–100 skill scores via Leetify.

Recent form

COLD34–62–4Last 10034%Win rateLWLLLLLTLL

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

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

Aim7.5

Aggression4.6

Utility5.0

Positioning4.2

Opening Duels0.5

Clutch5.2

Strong 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 NiKo 87% 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim7.5

Positioning4.2

Utility5.0

Mechanics8.1

Opening Duels1.4

Win Impact0.0

Composite 4.9/10 (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 rating-0.03−0.05

first ⅓ avg 0.02 → last ⅓ avg -0.03

Reaction time591ms−43ms

first ⅓ avg 634ms → last ⅓ avg 591ms

Headshot accuracy14.5%+0.3%

first ⅓ avg 14.2% → last ⅓ avg 14.5%

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 — dust2 13–8

13–0Biggest win — dust2

4Longest win streak

8–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 50% over 10nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	12–20	38%	0.00
inferno	D	23	5–18	22%	0.01
mirage	C	20	7–13	35%	-0.02
cache	B	10	5–5	50%	0.04
nuke	D	6	1–5	17%	-0.02
ancient	C	5	2–3	40%	-0.05
anubis	—	3	2–1	67%	0.03
vertigo	—	1	0–1	0%	0.12

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,949Lifetime kills

1.30K/D · Top 25% of tracked players

9,184Matches

74.5%Match win rate · Top 1% of tracked players

37.4%Headshot %

7.0%Shot accuracy

11,311MVPs

1,724Hours (in match)

4,470Bombs planted

1,190Bombs defused

Most-used weapons

AK-4725,713

M4A4 / M4A1-S16,411

AWP8,712

P2000 / USP-S4,215

Glock-183,185

MP93,178

Desert Eagle2,641

MAC-102,449

MAG-71,411

Galil AR1,314

Lifetime map wins

12,793inferno

9,333dust2

1,467nuke

1,138vertigo

769train

225office

129italy

101dust

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

Faceit stats

Combat

211Matches

56%Win rate

1.24Avg K/D

88.7ADR

38%Headshot %

Clutches & streaks

46%1v1 clutch win

30%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	56	64%	1.33	18.4
Inferno	44	57%	1.28	17.8
Dust2	33	55%	1.15	16.1
Anubis	23	52%	1.27	17.5
Ancient	18	56%	1.16	17.1
Vertigo	5	60%	1.54	19.0
Nuke	4	50%	1.05	17.5
Cache	3	0%	1.15	27.7

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.

13.2%Headshot accuracy

36.8%Accuracy (enemy spotted)

35.9%Spray accuracy

86.4%Counter-strafing

8.3°Preaim

581msReaction time

23.1%T opening success

41.1%CT opening success

0.55Enemies flashed / flash

6.9%Flash assists

5.95HE damage / grenade

13.47Flashes / 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 13.2392% — 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 23.057% — 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.

17% win rate across 6 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
mirage	3–13	-0.07	3%	15 Aug →
dust2	13–3	0.01	23%	15 Aug →
dust2	6–13	0.01	17%	14 Aug →
dust2	4–13	-0.01	24%	9 Aug →
mirage	9–13	-0.07	10%	9 Aug →
dust2	6–13	-0.03	13%	4 Aug →
mirage	6–4	0.05	15%	4 Aug →
mirage	12–12	-0.08	8%	1 Aug →
dust2	10–13	0.11	15%	1 Aug →
dust2	10–13	-0.08	4%	31 Jul →
dust2	13–8	0.05	10%	31 Jul →
dust2	10–13	-0.03	5%	31 Jul →
dust2	7–13	-0.02	17%	31 Jul →
mirage	13–11	0.01	18%	28 Jul →
inferno	5–13	-0.04	17%	26 Jul →
dust2	8–13	0.00	9%	26 Jul →
inferno	10–13	-0.06	11%	25 Jul →
ancient	2–13	-0.16	20%	25 Jul →
inferno	15–15	-0.06	22%	24 Jul →
dust2	7–13	-0.03	21%	24 Jul →
inferno	13–10	0.04	13%	22 Jul →
nuke	9–13	-0.05	15%	6 Jul →
dust2	4–13	-0.06	6%	5 Jul →
mirage	13–6	0.03	23%	4 Jul →
mirage	7–13	-0.07	17%	4 Jul →
dust2	13–10	-0.00	13%	4 Jul →
dust2	13–6	-0.06	0%	4 Jul →
nuke	2–13	-0.09	11%	4 Jul →
dust2	3–13	-0.05	14%	3 Jul →
dust2	6–13	-0.05	4%	3 Jul →
anubis	3–0	0.04	60%	3 Jul →
anubis	14–16	-0.03	11%	2 Jul →
nuke	9–13	-0.03	10%	2 Jul →
mirage	13–4	0.02	6%	1 Jul →
inferno	8–13	0.04	14%	1 Jul →
mirage	8–13	-0.05	14%	1 Jul →
ancient	13–4	-0.08	17%	1 Jul →
mirage	13–5	-0.00	4%	30 Jun →
dust2	7–13	-0.00	16%	29 Jun →
dust2	13–0	0.00	0%	29 Jun →
ancient	13–5	0.06	11%	28 Jun →
mirage	13–11	-0.04	13%	28 Jun →
mirage	16–14	-0.03	17%	23 Jun →
dust2	7–13	-0.07	22%	23 Jun →
nuke	13–11	0.01	13%	22 Jun →
mirage	6–13	-0.04	17%	16 Jun →
dust2	10–13	0.03	17%	8 Jun →
inferno	5–13	-0.08	13%	8 Jun →
inferno	6–13	-0.05	15%	8 Jun →
dust2	13–11	-0.08	16%	4 Jun →
anubis	13–10	0.07	15%	2 Jun →
dust2	16–12	0.06	24%	2 Jun →
dust2	5–13	0.00	26%	1 Jun →
mirage	10–13	-0.06	13%	29 May →
vertigo	12–12	0.12	13%	28 May →
inferno	8–13	-0.00	18%	28 May →
nuke	14–16	-0.03	11%	28 May →
nuke	9–13	0.04	19%	28 May →
inferno	9–13	0.05	15%	26 May →
inferno	5–13	-0.01	22%	24 May →
dust2	2–13	-0.02	11%	24 May →
inferno	5–13	0.02	9%	24 May →
inferno	10–13	0.09	19%	24 May →
mirage	7–13	0.04	17%	24 May →
inferno	8–13	0.02	19%	24 May →
dust2	6–13	0.09	12%	24 May →
dust2	13–8	0.16	20%	24 May →
inferno	13–4	0.05	8%	24 May →
ancient	2–13	-0.09	12%	22 May →
cache	7–13	-0.03	20%	22 May →
dust2	13–9	0.06	11%	22 May →
ancient	6–13	-0.00	10%	22 May →
inferno	9–13	0.03	7%	19 May →
mirage	8–13	0.03	7%	18 May →
mirage	7–13	-0.04	9%	18 May →
mirage	5–13	-0.02	5%	18 May →
inferno	13–9	0.11	23%	17 May →
dust2	1–13	-0.00	21%	17 May →
cache	13–11	0.04	15%	17 May →
mirage	12–12	0.03	6%	17 May →
inferno	7–13	-0.06	13%	17 May →
inferno	3–13	-0.05	17%	10 May →
cache	10–13	0.01	7%	10 May →
dust2	13–7	0.11	19%	7 May →
cache	7–13	-0.04	10%	7 May →
inferno	9–13	-0.05	15%	7 May →
cache	13–4	0.10	15%	7 May →
cache	13–9	0.08	8%	5 May →
inferno	6–13	-0.02	10%	5 May →
dust2	6–13	0.00	20%	2 May →
inferno	13–7	0.11	35%	2 May →
mirage	16–13	0.04	21%	1 May →
dust2	13–6	-0.05	10%	1 May →
cache	12–16	0.01	15%	1 May →
cache	13–8	0.12	28%	1 May →
cache	13–9	0.07	18%	1 May →
cache	14–16	0.01	11%	28 Apr →
inferno	14–16	0.03	16%	27 Apr →
dust2	13–11	0.02	10%	27 Apr →
inferno	13–11	0.14	19%	26 Apr →