hass — CS2 Stats

CA76561198043599865[U:1:83334137]Steam profile ↗✓ No bans

1,575Tracked matches68%Win rate2022Tracked since

2,448Hours in CS7Hrs last 2 wks

CSDB Rating6.1 SolidAll-Rounder

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 1,575

+8.6ppWin rate · 59.3% → 67.9%

Rating over time

Premier CS Rating: 21,579 -1,065 7 Jan – 19 Jan · 3 days played

22,644Peak Premier in tracked matches

56Days played since 2026-01-04

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 8 among CSDB-tracked players (n=14,773), 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 8 median	Level 9 median	vs Level 9
Headshot rate	44.9%	46.8%	48.2%	3.3% short
Shot accuracy	13.4%	13.0%	13.3%	meets
Kill/death ratio	1.24	1.06	1.07	above
Match win rate	40.4%	46.3%	46.9%	6.5% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim62

Positioning55

Utility54

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateLWWWWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −2.0pp headshot accuracy · −20ms 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

4–1 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 19%
Avg reaction 625ms

Last 10

7–3 · 70% win rate
Avg rating 0.02
Avg headshot accuracy 16%
Avg reaction 641ms

Last 20

11–7–2 · 55% win rate
Avg rating 0.01
Avg headshot accuracy 17%
Avg reaction 651ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.2

Utility5.4

Positioning5.5

Opening Duels4.1

Clutch3.8

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 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 52% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim6.2

Positioning5.5

Utility5.4

Mechanics6.6

Opening Duels2.9

Win Impact10.0

Composite 6.1/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time638ms−1ms

first ⅓ avg 640ms → last ⅓ avg 638ms

Headshot accuracy17.2%−1.3%

first ⅓ avg 18.5% → last ⅓ avg 17.2%

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

0.25Best match rating · 9–0 · inferno, 18 Jan →

38%Best headshot accuracy · 9–0 · inferno, 18 Jan →

453msFastest reaction time · 12–12 · cache, 13 May →

13–1Biggest win · inferno, 16 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak

8–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 58% over 24nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	24	14–10	58%	0.02
mirage	C	20	8–12	40%	-0.00
cache	B	14	7–7	50%	0.01
dust2	A	12	7–5	58%	-0.00
anubis	A	11	6–5	55%	0.00
ancient	D	9	3–6	33%	-0.00
nuke	D	5	1–4	20%	-0.02
overpass	—	3	2–1	67%	0.07
vertigo	—	1	1–0	100%	0.14
sanctum	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,320Lifetime kills

1.24K/D · Top 25% of Level 8 players

4,189Matches

40.4%Match win rate

44.9%Headshot %

13.4%Shot accuracy · Top 50% of Level 8 players

9,915MVPs

1,571Hours (in match)

3,694Bombs planted

1,082Bombs defused

Most-used weapons

AK-4735,947

M4A4 / M4A1-S17,171

AWP6,212

P2000 / USP-S5,737

Glock-182,899

Desert Eagle2,473

Galil AR1,726

Tec-91,442

MP91,345

Five-SeveN1,254

Lifetime map wins

8,232dust2

4,070inferno

2,328vertigo

2,069nuke

803train

533cbble

69office

22italy

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

Faceit stats

Combat

144Matches

62%Win rate

1.08Avg K/D

79.8ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

14%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	35	57%	0.96	14.6
Anubis	35	66%	1.13	16.8
Ancient	23	52%	1.13	17.5
Inferno	21	76%	1.13	14.7
Vertigo	11	91%	1.23	16.7
Overpass	8	25%	0.76	11.5
Nuke	7	57%	1.23	14.9
Dust2	2	50%	1.14	14.0

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.

17.2%Headshot accuracy

35.4%Accuracy (enemy spotted)

36.5%Spray accuracy

79.9%Counter-strafing

10.7°Preaim

640msReaction time

31.5%T opening success

52.0%CT opening success

0.50Enemies flashed / flash

8.2%Flash assists

7.69HE damage / grenade

6.47Flashes / 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.

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 31.5416% — 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.

20% win rate across 5 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
cache	5–13	0.01	11%	7 Oct →
cache	13–10	0.06	19%	4 Oct →
dust2	13–4	0.03	21%	4 Oct →
inferno	13–6	0.02	28%	4 Oct →
anubis	13–8	0.09	16%	3 Oct →
cache	7–13	0.01	14%	3 Oct →
anubis	9–13	0.01	15%	18 Aug →
mirage	13–9	-0.01	9%	13 Aug →
cache	13–8	0.05	13%	3 Aug →
inferno	13–10	-0.04	11%	2 Aug →
cache	7–13	-0.03	22%	15 Jul →
mirage	13–6	-0.01	32%	9 Jul →
mirage	12–12	-0.00	14%	5 Jul →
nuke	6–13	-0.03	10%	5 Jul →
cache	3–13	-0.06	4%	5 Jul →
overpass	13–8	0.09	24%	5 Jul →
nuke	15–15	-0.02	19%	4 Jul →
inferno	2–13	-0.02	26%	4 Jul →
ancient	9–1	-0.03	8%	29 Jun →
cache	13–10	0.01	16%	29 Jun →
mirage	6–13	-0.04	21%	28 Jun →
dust2	13–9	-0.04	25%	26 Jun →
cache	13–6	0.10	29%	26 Jun →
mirage	13–8	-0.01	20%	16 Jun →
anubis	13–9	-0.04	13%	16 Jun →
cache	9–13	-0.02	20%	2 Jun →
nuke	13–10	-0.02	12%	1 Jun →
cache	13–8	0.07	16%	23 May →
cache	13–10	0.01	15%	23 May →
vertigo	9–3	0.14	29%	20 May →
inferno	9–7	-0.06	11%	20 May →
sanctum	9–6	0.01	16%	19 May →
nuke	8–8	-0.06	10%	19 May →
inferno	9–3	-0.04	29%	19 May →
mirage	13–6	-0.02	12%	18 May →
mirage	8–13	-0.00	20%	16 May →
anubis	7–13	-0.02	8%	16 May →
mirage	6–13	0.02	24%	13 May →
cache	12–12	0.03	22%	13 May →
ancient	14–16	-0.03	21%	10 May →
mirage	13–8	-0.06	19%	10 May →
cache	13–2	-0.01	14%	30 Apr →
cache	11–13	0.01	20%	28 Apr →
ancient	13–7	-0.01	9%	23 Apr →
inferno	13–11	0.05	26%	16 Apr →
inferno	13–1	0.02	17%	16 Apr →
inferno	11–13	-0.02	20%	14 Apr →
mirage	5–13	-0.08	23%	9 Apr →
dust2	13–8	-0.04	12%	9 Apr →
inferno	6–13	-0.01	30%	7 Apr →
inferno	13–11	0.04	26%	4 Apr →
inferno	9–13	-0.00	16%	2 Apr →
inferno	13–7	-0.01	9%	27 Mar →
dust2	13–6	0.04	21%	27 Mar →
inferno	7–13	0.05	24%	22 Mar →
dust2	13–5	-0.05	33%	19 Mar →
inferno	10–13	-0.06	25%	18 Mar →
mirage	13–9	0.03	19%	18 Mar →
anubis	13–11	0.06	25%	18 Mar →
dust2	8–13	-0.03	28%	17 Mar →
inferno	10–13	0.05	5%	13 Mar →
dust2	8–13	0.07	21%	13 Mar →
anubis	11–13	0.01	14%	13 Mar →
inferno	10–13	0.04	15%	10 Mar →
mirage	13–7	0.07	23%	10 Mar →
inferno	3–13	-0.03	22%	5 Mar →
dust2	4–13	0.05	28%	5 Mar →
mirage	12–12	0.00	21%	5 Mar →
mirage	7–13	0.02	17%	5 Mar →
ancient	4–13	0.03	15%	5 Mar →
anubis	13–4	0.03	12%	4 Mar →
dust2	8–13	-0.04	18%	20 Feb →
overpass	13–3	0.11	34%	14 Feb →
mirage	6–13	0.02	19%	7 Feb →
inferno	13–11	0.06	14%	2 Feb →
anubis	13–7	-0.04	11%	1 Feb →
mirage	3–1	0.10	27%	1 Feb →
anubis	13–7	0.01	13%	1 Feb →
mirage	9–13	-0.04	16%	31 Jan →
dust2	13–10	0.05	18%	31 Jan →
mirage	10–13	-0.02	23%	31 Jan →
anubis	8–13	-0.03	9%	20 Jan →
anubis	1–13	-0.05	14%	20 Jan →
inferno	9–4	0.19	20%	20 Jan →
inferno	13–9	0.04	11%	19 Jan →
overpass	11–13	0.02	11%	19 Jan →
ancient	2–8	-0.02	8%	18 Jan →
inferno	9–0	0.25	38%	18 Jan →
ancient	10–13	0.02	17%	15 Jan →
dust2	13–11	-0.06	21%	15 Jan →
ancient	7–13	-0.04	16%	8 Jan →
inferno	13–8	0.02	22%	8 Jan →
ancient	10–13	-0.09	16%	7 Jan →
mirage	7–13	-0.01	29%	7 Jan →
inferno	13–11	0.03	25%	5 Jan →
ancient	13–3	0.13	25%	5 Jan →
nuke	9–13	0.04	20%	5 Jan →
inferno	10–13	-0.02	13%	5 Jan →
dust2	12–12	-0.00	18%	5 Jan →
mirage	12–12	0.02	20%	4 Jan →