synxx.🌵 — CS2 Stats

LI76561198337287767[U:1:377022039]Steam profile ↗✓ No bans

626Tracked matches53%Win rate2020Tracked since

2,631Hours in CS

CSDB Rating6.0 SolidPositional Player

CSDB Leaderboard#40686 of 250010 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 23,082 +10,055 14 Nov – 12 May · 8 days played

23,191Peak Premier in tracked matches

46Days played since 2023-06-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,332), 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 9 median	Level 10 median	vs Level 10
Headshot rate	48.0%	48.2%	50.9%	2.9% short
Shot accuracy	23.1%	13.3%	13.8%	above
Kill/death ratio	1.07	1.07	1.09	meets
Match win rate	44.5%	46.9%	48.4%	3.9% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim86

Positioning47

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLWLWLWLWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +5.9pp headshot accuracy · −25ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 25%
Avg reaction 500ms

Last 10

6–4 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 27%
Avg reaction 540ms

Last 20

9–11 · 45% win rate
Avg rating 0.00
Avg headshot accuracy 24%
Avg reaction 552ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim8.6

Utility4.1

Positioning4.7

Opening Duels2.2

Clutch0.2

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like sh1ro 88% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 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. 563ms 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

Aim8.6

Positioning4.7

Utility4.1

Mechanics7.5

Opening Duels1.5

Win Impact6.1

Composite 6.0/10 (Solid), 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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time545ms+6ms

first ⅓ avg 539ms → last ⅓ avg 545ms

Headshot accuracy21.6%+6.0%

first ⅓ avg 15.6% → last ⅓ avg 21.6%

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.

Personal bests

0.18Best match rating · 16–3 · ancient, 14 Jun →

50%Best headshot accuracy · 6–13 · mirage, 30 Jul →

414msFastest reaction time · 13–7 · inferno, 30 Jun →

16–3Biggest win · ancient, 14 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak

11–5In matches decided by ≤2 rounds

45Overtime games

Map breakdown

mirageBest map · 64% over 14nukeWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	31	19–12	61%	0.01
ancient	A	26	15–11	58%	0.02
mirage	A	14	9–5	64%	0.00
nuke	C	11	4–7	36%	0.02
dust2	C	5	2–3	40%	-0.00
anubis	—	4	2–2	50%	0.02
vertigo	—	4	2–2	50%	-0.01
overpass	—	3	0–3	0%	-0.03
cache	—	2	2–0	100%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,693Lifetime kills

1.07K/D

3,306Matches

44.5%Match win rate

48.0%Headshot %

23.1%Shot accuracy · Top 1% of Level 9 players

9,011MVPs

2,631Hours (in match)

3,035Bombs planted

988Bombs defused

Most-used weapons

AK-4745,216

AWP17,547

Desert Eagle12,042

M4A4 / M4A1-S11,110

P2000 / USP-S8,083

Glock-183,486

MP91,952

MAC-101,600

P2501,290

Galil AR1,142

Lifetime map wins

7,432inferno

1,823nuke

1,666dust2

1,547vertigo

592train

533cbble

100italy

100office

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

Faceit stats

Combat

816Matches

53%Win rate

1.29Avg K/D

85.7ADR

38%Headshot %

Clutches & streaks

21%1v1 clutch win

20%1v2 clutch win

17Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	9	67%	1.16	16.2
Nuke	6	50%	1.06	17.7
Inferno	6	67%	1.32	22.8
Anubis	4	25%	1.00	18.0
Dust2	2	50%	1.08	11.0
Overpass	1	0%	0.73	11.0
Mirage	1	100%	1.77	23.0
Cache	1	100%	2.29	16.0

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.

22.6%Headshot accuracy

35.9%Accuracy (enemy spotted)

39.6%Spray accuracy

83.7%Counter-strafing

7.9°Preaim

563msReaction time

31.7%T opening success

40.5%CT opening success

0.50Enemies flashed / flash

4.0%Flash assists

6.94HE damage / grenade

6.71Flashes / 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 0.4982 — 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 31.6584% — 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.

36% win rate across 11 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
nuke	9–13	-0.03	24%	6 Aug →
ancient	13–10	0.01	30%	6 Aug →
inferno	10–13	-0.05	26%	6 Aug →
inferno	13–8	0.02	20%	6 Aug →
ancient	13–16	0.01	22%	6 Aug →
inferno	13–6	0.05	25%	6 Aug →
ancient	8–13	-0.01	25%	6 Aug →
cache	13–11	-0.01	20%	6 Aug →
ancient	8–3	0.05	37%	6 Aug →
cache	13–5	0.05	37%	3 Aug →
mirage	6–13	-0.10	50%	30 Jul →
ancient	13–16	-0.04	21%	12 May →
mirage	13–8	0.05	19%	12 May →
ancient	13–8	0.02	20%	11 May →
ancient	13–6	0.03	19%	11 May →
nuke	8–13	0.02	16%	9 May →
mirage	5–13	-0.07	9%	9 May →
mirage	7–13	0.03	14%	8 May →
ancient	10–13	0.04	19%	8 May →
dust2	14–16	-0.04	21%	6 May →
inferno	13–9	0.01	16%	6 May →
mirage	13–10	-0.04	40%	5 May →
dust2	0–2	-0.05	0%	5 May →
nuke	13–6	0.03	19%	5 May →
dust2	8–13	-0.01	20%	5 May →
mirage	13–5	0.05	16%	4 May →
mirage	13–11	-0.08	15%	4 May →
inferno	16–12	0.02	22%	4 May →
inferno	13–8	-0.03	22%	4 May →
nuke	6–13	0.06	20%	19 Feb →
ancient	8–13	-0.04	10%	19 Feb →
inferno	5–13	-0.07	12%	19 Feb →
ancient	13–7	0.08	25%	19 Jul →
mirage	13–3	0.02	14%	19 Jul →
ancient	13–9	-0.00	15%	19 Jul →
inferno	6–13	0.01	32%	19 Jul →
mirage	13–5	0.07	25%	19 Jul →
dust2	13–2	0.05	19%	30 Jun →
inferno	13–7	0.13	20%	30 Jun →
nuke	13–11	0.09	24%	7 May →
nuke	10–13	0.08	22%	7 May →
ancient	13–16	0.00	23%	29 Apr →
anubis	14–16	0.03	27%	29 Apr →
dust2	13–5	0.04	17%	29 Apr →
anubis	13–6	0.02	31%	28 Apr →
ancient	7–13	0.02	22%	28 Apr →
inferno	10–13	0.06	30%	28 Apr →
inferno	13–11	-0.00	42%	19 Feb →
ancient	16–14	0.02	21%	28 Jan →
anubis	13–5	0.03	41%	28 Jan →
anubis	12–16	-0.00	22%	21 Nov →
ancient	13–6	0.09	11%	21 Nov →
ancient	13–16	0.00	12%	20 Nov →
inferno	16–14	0.03	37%	20 Nov →
nuke	13–8	0.04	22%	20 Nov →
inferno	13–8	0.01	15%	20 Nov →
inferno	12–16	0.01	28%	20 Nov →
inferno	7–13	-0.02	33%	19 Nov →
vertigo	11–13	-0.03	8%	14 Apr →
nuke	0–13	-0.11	12%	22 Jan →
vertigo	13–10	-0.05	27%	22 Jan →
ancient	13–11	-0.03	24%	14 Jan →
inferno	13–10	0.04	20%	23 Nov →
inferno	1–13	-0.09	14%	15 Nov →
inferno	9–13	0.00	22%	14 Nov →
ancient	16–5	0.07	15%	25 Sept →
nuke	9–16	0.01	12%	31 Aug →
inferno	16–4	-0.04	18%	31 Aug →
ancient	16–14	-0.02	26%	30 Aug →
overpass	5–16	0.01	14%	30 Aug →
nuke	16–13	0.02	17%	27 Aug →
inferno	4–16	-0.04	21%	10 Jul →
nuke	9–16	-0.02	14%	10 Jul →
inferno	16–13	-0.02	16%	6 Jul →
overpass	14–16	-0.04	7%	4 Jul →
inferno	13–16	-0.02	15%	4 Jul →
ancient	8–16	0.01	7%	3 Jul →
inferno	16–11	0.09	15%	3 Jul →
mirage	16–9	0.06	28%	2 Jul →
inferno	4–16	-0.07	15%	26 Jun →
mirage	16–10	0.03	13%	19 Jun →
overpass	12–16	-0.08	10%	18 Jun →
inferno	16–12	0.04	11%	15 Jun →
inferno	16–12	0.06	23%	14 Jun →
ancient	16–10	0.02	10%	14 Jun →
mirage	10–16	-0.01	17%	14 Jun →
ancient	16–3	0.18	19%	14 Jun →
inferno	16–13	-0.03	27%	13 Jun →
ancient	10–16	-0.04	14%	12 Jun →
vertigo	16–14	0.03	11%	12 Jun →
mirage	16–14	0.01	13%	12 Jun →
inferno	16–14	0.00	22%	11 Jun →
mirage	10–16	0.02	10%	11 Jun →
inferno	16–11	0.01	8%	11 Jun →
ancient	7–16	-0.06	8%	11 Jun →
ancient	16–13	0.01	8%	8 Jun →
vertigo	7–16	-0.00	24%	7 Jun →
inferno	16–11	0.04	25%	7 Jun →
inferno	5–9	0.06	12%	7 Jun →
ancient	16–7	0.07	20%	7 Jun →