HAEZD- — CS2 Stats

DK76561198004188331[U:1:43922603]Steam profile ↗✓ No bans

1,453Tracked matches53%Win rate2020Tracked since

5,383Hours in CS12Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating21,778Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#11758 of 40176 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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	Pink band median	Red band median	vs Red band
Headshot rate	56.2%	47.1%	50.0%	above
Shot accuracy	17.9%	12.8%	13.5%	above
Kill/death ratio	1.24	1.08	1.13	above
Match win rate	51.9%	46.6%	48.4%	above

Across every metric we can compare, this profile already matches the typical Red band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim88

Positioning62

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLLWLLWWLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression7.5

Utility7.0

Positioning6.2

Opening Duels3.1

Clutch9.4

Sharp aimerStrong CT-side openerReliable in 1v1s

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 97% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 53% on CT to 32% 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

Aim8.8

Positioning6.2

Utility7.0

Mechanics5.9

Opening Duels3.1

Win Impact6.1

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time522ms−34ms

first ⅓ avg 556ms → last ⅓ avg 522ms

Headshot accuracy25.4%+4.9%

first ⅓ avg 20.5% → last ⅓ avg 25.4%

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 — ancient 13–3

13–1Biggest win — anubis

8Longest win streak

8–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 64% over 22infernoWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	14–8	64%	0.02
inferno	C	20	7–13	35%	0.02
anubis	C	15	6–9	40%	0.01
ancient	B	13	6–7	46%	0.02
mirage	B	12	6–6	50%	0.03
overpass	C	7	3–4	43%	0.07
cache	B	6	3–3	50%	0.04
dust2	—	4	2–2	50%	0.02
train	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

252,943Lifetime kills

1.24K/D · Top 25% of Pink band

6,416Matches

51.9%Match win rate · Top 25% of Pink band

56.2%Headshot % · Top 25% of Pink band

17.9%Shot accuracy · Top 10% of Pink band

18,993MVPs

4,398Hours (in match)

9,032Bombs planted

2,038Bombs defused

Most-used weapons

AK-47128,868

M4A4 / M4A1-S48,812

AWP13,973

P2000 / USP-S12,660

Desert Eagle8,000

Glock-187,315

P2504,273

FAMAS2,761

MP92,502

MAC-102,234

Lifetime map wins

12,199inferno

9,406nuke

5,982dust2

4,529train

2,795vertigo

2,344cbble

232dust

217aztec

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

Faceit stats

Combat

715Matches

53%Win rate

1.30Avg K/D

85.9ADR

45%Headshot %

Clutches & streaks

67%1v1 clutch win

29%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	4	50%	1.28	22.3
Anubis	3	0%	1.21	15.7
Ancient	3	0%	1.06	18.0
Inferno	2	50%	1.08	14.0
Dust2	1	0%	1.00	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.

25.7%Headshot accuracy

36.6%Accuracy (enemy spotted)

41.6%Spray accuracy

76.3%Counter-strafing

8.2°Preaim

521msReaction time

31.9%T opening success

53.3%CT opening success

0.64Enemies flashed / flash

7.5%Flash assists

11.34HE damage / grenade

11.65Flashes / 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 31.8896% — below the 40% mark we flag

Spend your practice time on Inferno

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–6	0.10	18%	28 Aug →
cache	8–13	-0.00	27%	28 Aug →
mirage	4–13	-0.03	15%	28 Aug →
anubis	13–7	0.03	23%	28 Aug →
inferno	9–13	0.03	26%	28 Aug →
inferno	1–7	-0.04	33%	24 Aug →
nuke	16–12	0.01	24%	24 Aug →
nuke	13–7	0.02	18%	22 Aug →
nuke	11–13	0.02	20%	22 Aug →
ancient	11–13	0.06	33%	22 Aug →
inferno	10–13	0.06	42%	21 Aug →
nuke	13–11	-0.03	24%	21 Aug →
anubis	14–16	0.00	14%	19 Aug →
ancient	8–13	-0.03	20%	19 Aug →
inferno	13–6	0.01	16%	19 Aug →
dust2	16–12	-0.02	22%	16 Aug →
ancient	9–13	-0.02	34%	14 Aug →
cache	13–7	0.09	30%	14 Aug →
ancient	13–3	0.16	48%	14 Aug →
anubis	13–9	0.12	28%	14 Aug →
inferno	5–13	0.03	35%	14 Aug →
cache	12–7	0.05	24%	1 Aug →
anubis	9–13	0.06	11%	1 Aug →
mirage	13–5	0.02	35%	1 Aug →
inferno	13–7	0.03	24%	30 Jul →
nuke	7–13	-0.06	20%	24 Jul →
nuke	13–10	-0.03	38%	24 Jul →
inferno	13–8	0.10	24%	24 Jul →
nuke	11–13	-0.04	35%	18 Jul →
nuke	8–1	0.08	18%	18 Jul →
ancient	9–13	-0.03	18%	18 Jul →
inferno	0–13	-0.01	24%	18 Jul →
mirage	13–7	0.11	17%	13 Jul →
ancient	13–2	0.00	19%	13 Jul →
dust2	9–13	0.05	17%	13 Jul →
nuke	4–13	-0.02	18%	8 Jul →
mirage	3–13	0.02	21%	8 Jul →
cache	13–7	0.01	15%	8 Jul →
anubis	9–13	0.03	22%	7 Jul →
nuke	13–10	0.01	15%	7 Jul →
cache	6–13	0.06	19%	7 Jul →
inferno	11–13	0.06	11%	4 Jul →
anubis	16–14	0.00	14%	4 Jul →
mirage	13–10	0.08	11%	4 Jul →
inferno	13–11	0.05	26%	3 Jul →
ancient	13–4	0.05	12%	3 Jul →
inferno	10–13	-0.02	9%	3 Jul →
anubis	9–13	-0.02	13%	3 Jul →
ancient	10–13	-0.05	19%	27 Jun →
mirage	11–13	0.05	22%	27 Jun →
anubis	8–13	-0.03	19%	27 Jun →
mirage	11–13	0.06	25%	24 Jun →
dust2	5–13	-0.01	16%	24 Jun →
mirage	13–9	0.07	24%	24 Jun →
anubis	4–13	-0.03	42%	24 Jun →
mirage	13–11	0.00	22%	22 Jun →
dust2	13–7	0.07	13%	22 Jun →
nuke	13–5	0.09	25%	18 Jun →
inferno	1–13	-0.04	12%	18 Jun →
mirage	13–6	-0.03	16%	18 Jun →
overpass	7–13	0.02	28%	15 Jun →
inferno	9–13	0.03	19%	15 Jun →
inferno	8–13	-0.07	22%	10 Jun →
nuke	16–14	0.04	24%	10 Jun →
overpass	13–11	0.14	24%	9 Jun →
nuke	13–4	0.09	24%	9 Jun →
mirage	14–16	0.05	16%	9 Jun →
inferno	10–13	-0.01	16%	9 Jun →
overpass	11–13	0.13	25%	7 Jun →
nuke	9–13	-0.00	31%	7 Jun →
nuke	13–6	0.09	18%	4 Jun →
overpass	11–13	0.05	21%	4 Jun →
mirage	4–13	-0.08	24%	4 Jun →
nuke	13–4	0.07	25%	4 Jun →
anubis	13–9	0.06	14%	3 Jun →
inferno	10–13	0.02	26%	3 Jun →
nuke	15–15	0.04	14%	23 May →
ancient	13–11	0.06	21%	23 May →
nuke	15–15	0.02	21%	23 May →
overpass	13–7	0.14	26%	20 May →
nuke	13–2	0.12	16%	20 May →
ancient	5–13	-0.05	5%	20 May →
overpass	1–13	-0.02	17%	19 May →
anubis	7–13	-0.07	15%	19 May →
inferno	2–13	0.01	21%	19 May →
train	5–13	0.03	17%	16 May →
cache	2–13	0.01	27%	16 May →
anubis	3–13	-0.08	20%	16 May →
ancient	4–13	-0.03	16%	16 May →
inferno	13–8	0.12	25%	16 May →
anubis	13–1	0.07	13%	16 May →
anubis	13–7	0.01	19%	13 May →
nuke	13–8	0.03	23%	13 May →
inferno	13–11	0.03	23%	13 May →
inferno	16–12	0.01	24%	7 May →
nuke	13–8	0.03	21%	7 May →
overpass	13–7	0.05	23%	7 May →
anubis	15–15	0.02	23%	5 May →
ancient	13–5	0.07	26%	5 May →
nuke	1–13	-0.07	22%	2 May →