hssnd🍺 — CS2 Stats

76561199657536670[U:1:1697270942]Steam profile ↗✓ No bans

2,125Tracked matches67%Win rate2024Tracked since

2,181Hours in CS2Hrs last 2 wks

CSDB Rating6.7 SolidPositional Player

Premier CS Rating13,672Blue band · top ~35.4% of ranked players (population est.)

CSDB Leaderboard#162824 of 261512 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,672 -2,058 31 Aug – 7 Nov · 14 days played

16,501Peak Premier in tracked matches

1,062Highest Faceit ELO seen on CSDB

25Days played since 2026-08-30

Premier CS Rating

2,744 below peak (16,416)
Next: Purple band at 15,000 — 1,328 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-10
Blue band first seen 2026-09-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 median	Level 7 median	vs Level 7
Headshot rate	36.7%	44.8%	45.7%	9.0% short
Shot accuracy	0.0%	12.4%	12.7%	12.7% short
Kill/death ratio	0.89	1.03	1.05	0.17 short
Match win rate	47.6%	45.2%	45.7%	above

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim84

Positioning66

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWWLLLWLWWW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −6.9pp headshot accuracy · +6ms reaction

Win rate down 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 -0.03
Avg headshot accuracy 20%
Avg reaction 537ms

Last 10

6–4 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 19%
Avg reaction 571ms

Last 20

15–5 · 75% win rate
Avg rating 0.00
Avg headshot accuracy 23%
Avg reaction 568ms

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 (+1.8 against its own average).

Aim8.4

Utility4.0

Positioning6.6

Opening Duels5.8

Clutch2.8

Limited utility dependence

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 donk 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 69% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 564ms 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

Aim8.4

Positioning6.6

Utility4.0

Mechanics5.9

Opening Duels7.4

Win Impact10.0

Composite 6.7/10 (Solid), 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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time576ms+14ms

first ⅓ avg 562ms → last ⅓ avg 576ms

Headshot accuracy22.8%+2.3%

first ⅓ avg 20.5% → last ⅓ avg 22.8%

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.

Personal bests

0.13Best match rating · 13–3 · dust2, 14 Sept →

55%Best headshot accuracy · 13–8 · nuke, 29 Sept →

391msFastest reaction time · 4–13 · mirage, 12 Sept →

13–2Biggest win · inferno, 15 Sept →

Across the last 100 tracked matches.

Highlights

12Longest win streak

W2Current streak

14–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 67% over 9anubisWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	36	20–16	56%	0.00
dust2	A	21	13–8	62%	0.01
inferno	A	14	8–6	57%	0.01
anubis	B	11	5–6	45%	0.03
ancient	S	9	6–3	67%	0.01
nuke	S	6	4–2	67%	0.00
cache	—	2	1–1	50%	-0.03
office	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,675Lifetime kills

0.89K/D

2,753Matches

47.6%Match win rate · Top 50% of Level 6 players

36.7%Headshot %

0.0%Shot accuracy

5,747MVPs

1,031Hours (in match)

2,567Bombs planted

531Bombs defused

Most-used weapons

AK-4710,923

AWP7,927

M4A4 / M4A1-S7,026

P2000 / USP-S2,062

Galil AR1,699

Glock-181,693

Desert Eagle1,595

MP91,275

MAC-101,082

SSG 08759

Lifetime map wins

4,217dust2

3,224inferno

1,979nuke

1,014vertigo

640train

44office

13italy

7ar_baggage

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

Faceit stats

Combat

135Matches

52%Win rate

0.89Avg K/D

76.5ADR

40%Headshot %

Clutches & streaks

34%1v1 clutch win

17%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	50	54%	0.90	14.7
Dust2	22	59%	0.92	15.5
Ancient	21	38%	0.78	11.9
Anubis	13	46%	0.90	14.1
Nuke	11	73%	1.04	12.6
Inferno	10	40%	0.76	13.3
Vertigo	3	67%	0.97	8.0
Cache	2	100%	0.78	13.0

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.

22.8%Headshot accuracy

38.2%Accuracy (enemy spotted)

42.6%Spray accuracy

76.5%Counter-strafing

8.9°Preaim

564msReaction time

69.3%T opening success

49.9%CT opening success

0.63Enemies flashed / flash

7.6%Flash assists

9.53HE damage / grenade

2.70Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7047 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–11	-0.06	14%	7 Nov →
mirage	13–11	0.00	19%	7 Nov →
anubis	5–13	0.00	24%	7 Nov →
ancient	7–13	-0.09	17%	26 Oct →
inferno	8–13	-0.01	25%	26 Oct →
ancient	13–3	-0.01	15%	26 Oct →
dust2	3–13	0.02	10%	8 Oct →
dust2	13–8	-0.04	18%	8 Oct →
mirage	13–9	-0.00	17%	8 Oct →
nuke	13–8	0.01	35%	6 Oct →
dust2	13–5	-0.04	32%	6 Oct →
mirage	13–7	0.04	29%	6 Oct →
office	13–9	0.01	21%	4 Oct →
mirage	13–10	0.05	11%	4 Oct →
mirage	13–6	-0.02	40%	4 Oct →
dust2	13–4	0.01	26%	4 Oct →
inferno	13–3	0.06	12%	4 Oct →
mirage	13–9	0.02	24%	29 Sept →
nuke	13–8	-0.01	55%	29 Sept →
mirage	8–13	0.07	14%	28 Sept →
inferno	13–10	0.06	15%	28 Sept →
anubis	6–13	0.00	11%	28 Sept →
inferno	9–13	0.02	24%	27 Sept →
inferno	13–5	-0.07	29%	27 Sept →
dust2	13–11	0.08	23%	27 Sept →
anubis	13–11	0.03	27%	22 Sept →
mirage	7–13	-0.01	35%	19 Sept →
inferno	13–5	0.06	37%	19 Sept →
mirage	7–13	-0.06	22%	19 Sept →
inferno	10–13	-0.01	9%	19 Sept →
nuke	9–13	0.03	30%	19 Sept →
ancient	13–7	0.06	13%	19 Sept →
dust2	11–13	0.03	22%	19 Sept →
anubis	13–5	0.05	27%	19 Sept →
mirage	13–4	0.04	17%	19 Sept →
dust2	14–16	-0.02	14%	17 Sept →
ancient	13–8	0.00	15%	17 Sept →
inferno	13–11	0.01	15%	17 Sept →
mirage	3–13	0.01	33%	15 Sept →
inferno	13–2	0.02	31%	15 Sept →
mirage	16–13	0.05	10%	14 Sept →
cache	6–13	-0.01	15%	14 Sept →
dust2	13–3	0.13	27%	14 Sept →
inferno	1–13	-0.03	10%	14 Sept →
nuke	13–9	0.01	6%	14 Sept →
dust2	13–11	0.05	18%	14 Sept →
mirage	12–12	-0.03	11%	14 Sept →
anubis	10–13	0.03	28%	14 Sept →
mirage	13–7	-0.02	13%	14 Sept →
mirage	2–13	-0.08	9%	13 Sept →
nuke	13–11	0.06	20%	13 Sept →
ancient	8–13	0.03	16%	13 Sept →
mirage	4–13	-0.06	19%	12 Sept →
dust2	9–13	0.00	19%	12 Sept →
mirage	7–13	-0.08	14%	12 Sept →
ancient	16–13	0.00	25%	12 Sept →
anubis	13–16	0.04	16%	12 Sept →
dust2	5–13	-0.04	4%	12 Sept →
mirage	13–11	-0.01	15%	12 Sept →
inferno	8–13	0.01	19%	12 Sept →
dust2	13–11	0.02	12%	12 Sept →
dust2	19–17	0.02	13%	11 Sept →
anubis	13–6	0.09	36%	11 Sept →
inferno	13–7	0.04	24%	11 Sept →
dust2	11–13	0.01	12%	11 Sept →
mirage	13–9	0.05	11%	8 Sept →
ancient	8–13	0.02	12%	8 Sept →
anubis	13–3	0.06	6%	8 Sept →
dust2	13–2	0.05	31%	8 Sept →
mirage	13–11	0.01	16%	7 Sept →
mirage	8–13	0.00	25%	7 Sept →
ancient	13–4	0.05	12%	7 Sept →
inferno	15–15	0.00	12%	7 Sept →
anubis	10–13	0.01	28%	6 Sept →
anubis	13–9	0.09	31%	6 Sept →
mirage	3–13	0.01	18%	6 Sept →
dust2	12–16	-0.03	21%	6 Sept →
dust2	13–11	0.03	20%	6 Sept →
nuke	8–8	-0.09	16%	5 Sept →
mirage	5–13	0.02	13%	5 Sept →
mirage	13–11	0.03	24%	4 Sept →
anubis	7–13	-0.05	10%	4 Sept →
mirage	7–13	0.03	28%	3 Sept →
dust2	13–11	0.07	14%	3 Sept →
dust2	13–10	-0.00	11%	1 Sept →
mirage	10–13	-0.02	16%	1 Sept →
mirage	13–6	0.01	17%	1 Sept →
mirage	16–13	-0.01	18%	31 Aug →
ancient	13–3	0.07	23%	31 Aug →
dust2	8–13	-0.05	26%	31 Aug →
mirage	13–10	-0.05	24%	31 Aug →
mirage	13–5	0.02	25%	31 Aug →
inferno	13–9	-0.03	13%	31 Aug →
mirage	11–13	0.01	15%	31 Aug →
mirage	13–6	0.01	16%	30 Aug →
dust2	13–9	-0.05	26%	30 Aug →
mirage	16–12	-0.04	19%	30 Aug →
mirage	13–9	0.04	18%	30 Aug →
mirage	1–13	-0.03	50%	30 Aug →
mirage	6–13	0.06	36%	30 Aug →