haos — CS2 Stats

76561198869630471[U:1:909364743]Steam profile ↗

2,359Tracked matches50%Win rate2022Tracked since

4,996Hours in CS17Hrs last 2 wks

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating26,921Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#1345 of 28710 tracked

FaceitLevel 10 · 2,410 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	52.4%	52.0%
Shot accuracy	6.3%	13.7%
Kill/death ratio	1.02	1.08
Match win rate	43.6%	48.8%

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Performance scores

Aim69

Positioning59

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLLWWWLLLLW

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

Player DNA

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

Aim6.9

Aggression7.7

Utility5.3

Positioning5.9

Opening Duels3.7

Clutch4.2

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 b1t 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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 57% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.9

Positioning5.9

Utility5.3

Mechanics5.8

Opening Duels3.7

Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time532ms−27ms

first ⅓ avg 559ms → last ⅓ avg 532ms

Headshot accuracy18.9%−1.0%

first ⅓ avg 19.9% → last ⅓ avg 18.9%

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

0.19Best rating — ancient 13–4

13–2Biggest win — mirage

5Longest win streak

L2Current streak

4–4In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 80% over 10cacheWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	28	16–12	57%	0.00
mirage	D	16	5–11	31%	0.01
inferno	D	12	3–9	25%	0.02
nuke	B	11	5–6	45%	-0.02
anubis	B	11	5–6	45%	-0.01
ancient	S	10	8–2	80%	0.02
cache	D	9	2–7	22%	-0.01
vertigo	—	2	1–1	50%	0.08
debris	—	1	1–0	100%	0.18

Across the last 100 tracked matches.

Lifetime stats

116,725Lifetime kills

1.02K/D

5,829Matches

43.6%Match win rate

52.4%Headshot % · Top 50% of Level 10 players

6.3%Shot accuracy

15,847MVPs

2,350Hours (in match)

4,837Bombs planted

1,334Bombs defused

Most-used weapons

AK-4746,599

M4A4 / M4A1-S21,806

Desert Eagle8,246

AWP7,304

P2000 / USP-S5,956

Glock-184,811

MAC-104,210

MP93,170

Galil AR2,148

SSG 081,706

Lifetime map wins

8,744dust2

6,395inferno

3,908nuke

1,903vertigo

1,256train

815cbble

349lake

172office

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

Faceit stats

Combat

676Matches

54%Win rate

1.43Avg K/D

100.3ADR

50%Headshot %

Clutches & streaks

41%1v1 clutch win

30%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	234	59%	1.42	21.0
Dust2	162	51%	1.37	19.6
Ancient	80	51%	1.43	20.7
Anubis	52	52%	1.46	21.4
Nuke	47	53%	1.47	21.0
Inferno	40	52%	1.53	18.8
Overpass	25	56%	1.52	21.8
Train	15	53%	1.50	21.5

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.

18.4%Headshot accuracy

33.3%Accuracy (enemy spotted)

36.8%Spray accuracy

76.1%Counter-strafing

10.0°Preaim

537msReaction time

32.8%T opening success

56.5%CT opening success

0.65Enemies flashed / flash

7.7%Flash assists

9.79HE damage / grenade

6.14Flashes / 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 32.8153% — below the 40% mark we flag

Spend your practice time on Cache

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–16	0.12	15%	22 Aug →
ancient	16–19	-0.02	15%	22 Aug →
dust2	13–11	0.03	17%	22 Aug →
nuke	13–4	0.04	10%	22 Aug →
mirage	13–7	0.05	12%	22 Aug →
inferno	5–13	-0.03	20%	21 Aug →
inferno	4–13	-0.10	13%	18 Aug →
cache	5–13	-0.04	13%	13 Aug →
dust2	13–16	0.01	18%	13 Aug →
dust2	13–10	0.04	13%	13 Aug →
anubis	1–8	-0.05	26%	13 Aug →
mirage	0–5	-0.01	27%	13 Aug →
anubis	0–13	-0.08	23%	13 Aug →
inferno	8–13	0.09	24%	13 Aug →
anubis	13–10	0.05	22%	13 Aug →
anubis	4–13	0.01	16%	12 Aug →
cache	7–13	0.02	20%	12 Aug →
inferno	13–5	0.06	21%	12 Aug →
dust2	3–13	0.02	27%	12 Aug →
ancient	13–3	-0.05	14%	12 Aug →
dust2	13–6	-0.06	13%	12 Aug →
mirage	13–2	0.02	24%	12 Aug →
inferno	9–13	-0.02	20%	12 Aug →
dust2	13–4	0.08	19%	12 Aug →
ancient	13–3	-0.06	15%	12 Aug →
nuke	12–16	0.04	28%	8 Aug →
inferno	13–10	0.01	22%	8 Aug →
dust2	13–5	0.01	19%	8 Aug →
inferno	13–4	0.03	25%	8 Aug →
cache	13–7	0.04	13%	8 Aug →
inferno	10–13	0.12	28%	7 Aug →
anubis	4–13	-0.05	17%	4 Aug →
dust2	8–13	0.01	18%	3 Aug →
mirage	4–13	-0.07	13%	3 Aug →
nuke	3–13	0.03	60%	3 Aug →
ancient	16–14	-0.02	10%	31 Jul →
dust2	13–9	0.04	25%	31 Jul →
ancient	13–4	0.19	20%	31 Jul →
ancient	13–3	0.06	24%	31 Jul →
nuke	13–9	-0.04	26%	30 Jul →
mirage	1–9	-0.08	7%	30 Jul →
nuke	14–16	-0.06	24%	28 Jul →
anubis	13–8	0.03	13%	28 Jul →
dust2	16–14	0.01	18%	28 Jul →
anubis	6–13	-0.05	16%	28 Jul →
dust2	13–10	0.04	18%	28 Jul →
inferno	11–13	0.05	11%	27 Jul →
dust2	6–13	0.09	14%	27 Jul →
dust2	12–12	0.01	16%	27 Jul →
vertigo	7–0	0.09	25%	27 Jul →
anubis	6–13	-0.05	22%	27 Jul →
vertigo	9–13	0.07	22%	27 Jul →
dust2	13–8	0.01	21%	27 Jul →
nuke	13–2	0.02	24%	26 Jul →
mirage	13–8	-0.01	38%	26 Jul →
mirage	8–13	-0.08	12%	26 Jul →
ancient	13–5	0.04	16%	23 Jul →
cache	11–13	0.00	16%	23 Jul →
anubis	13–3	0.03	18%	23 Jul →
cache	8–13	-0.06	15%	23 Jul →
cache	16–14	-0.04	27%	23 Jul →
mirage	5–13	-0.04	17%	23 Jul →
mirage	9–13	0.03	15%	23 Jul →
dust2	2–13	-0.03	17%	23 Jul →
debris	9–2	0.18	27%	22 Jul →
dust2	15–15	0.04	12%	22 Jul →
mirage	4–13	0.04	24%	22 Jul →
nuke	3–13	-0.07	15%	22 Jul →
mirage	10–13	0.01	16%	22 Jul →
mirage	13–9	0.14	29%	22 Jul →
ancient	13–8	0.06	22%	22 Jul →
dust2	6–13	-0.04	17%	21 Jul →
mirage	6–13	0.01	27%	21 Jul →
dust2	13–4	0.06	19%	21 Jul →
dust2	13–2	-0.06	42%	21 Jul →
cache	9–13	-0.06	7%	19 Jul →
dust2	13–5	0.06	31%	19 Jul →
cache	7–13	0.06	20%	16 Jul →
dust2	13–5	0.11	18%	16 Jul →
dust2	13–16	-0.14	0%	16 Jul →
dust2	13–2	-0.11	29%	16 Jul →
dust2	3–13	-0.07	24%	15 Jul →
dust2	13–4	-0.02	22%	15 Jul →
dust2	4–13	-0.03	29%	14 Jul →
mirage	15–15	-0.06	19%	14 Jul →
mirage	13–6	0.03	18%	13 Jul →
dust2	13–8	-0.05	24%	13 Jul →
nuke	13–4	-0.08	29%	12 Jul →
cache	5–13	0.01	17%	12 Jul →
nuke	0–13	-0.09	0%	12 Jul →
ancient	11–13	0.04	11%	12 Jul →
inferno	10–13	-0.01	19%	12 Jul →
anubis	9–0	-0.00	10%	12 Jul →
ancient	16–12	0.00	19%	12 Jul →
inferno	8–13	-0.01	21%	12 Jul →
inferno	2–6	0.02	33%	12 Jul →
anubis	13–5	0.02	21%	12 Jul →
nuke	13–5	0.03	15%	12 Jul →
nuke	12–16	0.03	19%	12 Jul →
dust2	6–13	0.02	17%	12 Jul →