DireHZD — CS2 Stats

76561198409150476[U:1:448884748]

525Tracked matches54%Win rate2024Tracked since

588Hours in CS2Hrs last 2 wks

CSDB Rating4.6 Developing

FaceitLevel 4 · 990 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median	Level 5 median	vs Level 5
Headshot rate	67.6%	42.5%	44.2%	above
Shot accuracy	4.2%	10.9%	11.2%	7.0% short
Kill/death ratio	1.54	0.99	1.04	above
Match win rate	45.8%	44.2%	45.3%	meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim58

Positioning52

Utility36

0–100 skill scores via Leetify.

Recent form

COLD52–43–5Last 10052%Win rateLLLLWLLLWW

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim5.8

Aggression4.8

Utility3.6

Positioning5.2

Opening Duels1.7

Clutch1.6

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 NiKo 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 615ms 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

Aim5.8

Positioning5.2

Utility3.6

Mechanics6.7

Opening Duels1.7

Win Impact6.2

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time615ms−8ms

first ⅓ avg 623ms → last ⅓ avg 615ms

Headshot accuracy19.3%−3.6%

first ⅓ avg 23.0% → last ⅓ avg 19.3%

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

0.11Best rating — nuke 13–10

13–2Biggest win — ancient

5Longest win streak

L4Current streak

6–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 83% over 6mirageWeakest map · 40% over 30

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	30	12–18	40%	-0.01
dust2	S	26	17–9	65%	-0.01
inferno	B	11	5–6	45%	-0.01
ancient	C	9	4–5	44%	-0.03
overpass	A	8	5–3	63%	0.01
nuke	S	6	5–1	83%	0.06
train	—	4	0–4	0%	-0.03
anubis	—	3	1–2	33%	0.02
cache	—	3	3–0	100%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 30). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,445Lifetime kills

1.54K/D · Top 5% of Level 4 players

777Matches

45.8%Match win rate · Top 50% of Level 4 players

67.6%Headshot % · Top 5% of Level 4 players

4.2%Shot accuracy

1,056MVPs

899Hours (in match)

581Bombs planted

129Bombs defused

Most-used weapons

AK-4711,764

AWP1,741

Desert Eagle1,143

M4A4 / M4A1-S1,112

XM10141,082

SSG 08488

Galil AR441

P2000 / USP-S367

SG 553351

Glock-18300

Lifetime map wins

1,460dust2

961inferno

572nuke

426train

98vertigo

32cbble

21office

6militia

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

Faceit stats

Combat

76Matches

50%Win rate

0.88Avg K/D

72.3ADR

55%Headshot %

Clutches & streaks

28%1v1 clutch win

17%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	38%	0.78	12.5
Dust2	17	59%	1.08	14.4
Inferno	13	54%	0.76	11.5
Ancient	10	30%	1.06	16.5
Overpass	5	80%	0.99	13.4
Anubis	2	100%	0.40	6.5
Nuke	2	100%	0.80	14.0
Train	2	0%	0.57	11.0

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.

18.8%Headshot accuracy

31.3%Accuracy (enemy spotted)

35.2%Spray accuracy

80.4%Counter-strafing

11.2°Preaim

615msReaction time

43.3%T opening success

30.1%CT opening success

0.45Enemies flashed / flash

5.8%Flash assists

7.87HE damage / grenade

3.56Flashes / 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 0.4511 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 30.083% — below the 40% mark we flag

Spend your practice time on Mirage

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

40% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	-0.00	14%	22 Aug →
dust2	9–13	-0.01	27%	6 Jun →
mirage	3–13	-0.04	47%	1 Jun →
inferno	5–13	-0.01	20%	1 Jun →
mirage	13–9	0.04	26%	1 Jun →
ancient	4–13	-0.05	26%	1 Jun →
overpass	5–13	0.09	33%	1 Jun →
dust2	2–13	-0.06	24%	26 May →
dust2	13–8	-0.05	32%	11 May →
cache	13–11	-0.05	18%	11 May →
cache	13–11	-0.07	18%	11 May →
inferno	10–13	-0.09	6%	10 May →
cache	13–10	-0.04	26%	10 May →
nuke	13–7	0.00	15%	11 Apr →
ancient	13–8	-0.01	13%	11 Apr →
inferno	9–13	-0.05	11%	11 Apr →
mirage	8–13	-0.05	14%	11 Apr →
nuke	13–5	0.06	17%	11 Apr →
ancient	9–13	-0.05	20%	11 Apr →
anubis	13–3	0.07	22%	11 Apr →
overpass	15–15	0.01	10%	3 Feb →
mirage	13–8	0.06	16%	3 Feb →
nuke	10–13	0.01	21%	3 Feb →
dust2	13–5	-0.02	14%	3 Feb →
inferno	7–4	-0.05	38%	3 Feb →
mirage	13–11	-0.06	12%	25 Jan →
dust2	11–7	-0.00	22%	25 Jan →
dust2	15–15	-0.03	5%	25 Jan →
inferno	13–5	0.05	33%	25 Jan →
inferno	6–13	-0.04	0%	25 Jan →
mirage	13–10	-0.08	5%	25 Jan →
ancient	4–13	-0.08	14%	25 Jan →
inferno	13–8	-0.02	22%	25 Jan →
anubis	7–13	-0.02	10%	22 Jan →
overpass	13–10	0.05	24%	19 Jan →
mirage	11–13	-0.06	19%	19 Jan →
train	12–12	0.00	15%	6 Jan →
mirage	3–13	0.06	21%	6 Jan →
dust2	5–13	-0.00	0%	6 Jan →
dust2	13–6	-0.02	32%	6 Jan →
dust2	13–8	-0.02	27%	3 Jan →
dust2	13–3	0.04	15%	3 Jan →
dust2	13–4	-0.02	16%	3 Jan →
overpass	13–5	-0.03	21%	3 Jan →
mirage	10–13	0.03	22%	2 Jan →
mirage	10–13	0.00	28%	2 Jan →
dust2	16–14	-0.01	24%	2 Jan →
mirage	4–13	-0.07	17%	2 Jan →
mirage	13–4	0.01	16%	2 Jan →
mirage	8–13	-0.03	18%	30 Dec →
ancient	13–7	-0.06	19%	30 Dec →
ancient	13–7	0.03	21%	30 Dec →
dust2	11–13	-0.04	20%	30 Dec →
inferno	1–13	0.07	21%	29 Dec →
ancient	13–2	0.02	13%	23 Dec →
dust2	12–12	-0.03	12%	23 Dec →
overpass	13–9	0.04	21%	23 Dec →
nuke	13–10	0.11	28%	19 Dec →
mirage	10–13	0.00	17%	19 Dec →
train	2–13	-0.05	46%	19 Dec →
dust2	4–13	-0.05	38%	19 Dec →
inferno	13–6	-0.02	32%	18 Dec →
mirage	15–19	-0.01	27%	18 Dec →
mirage	10–13	-0.02	19%	18 Dec →
mirage	13–6	0.07	26%	14 Dec →
train	11–13	-0.03	20%	14 Dec →
mirage	13–10	0.01	17%	14 Dec →
inferno	13–9	0.03	33%	14 Dec →
dust2	13–5	0.06	15%	12 Dec →
inferno	6–13	0.01	22%	12 Dec →
overpass	4–13	-0.04	17%	12 Dec →
dust2	13–3	0.01	27%	12 Dec →
mirage	7–13	-0.02	24%	11 Dec →
mirage	13–8	-0.06	18%	9 Dec →
ancient	13–16	-0.03	17%	9 Dec →
dust2	13–10	-0.01	26%	8 Dec →
mirage	11–13	0.05	28%	8 Dec →
dust2	13–8	-0.02	28%	8 Dec →
dust2	13–7	0.01	16%	8 Dec →
mirage	12–12	0.04	20%	8 Dec →
overpass	13–3	-0.03	13%	8 Dec →
ancient	11–13	-0.01	22%	7 Dec →
dust2	13–7	-0.03	33%	7 Dec →
nuke	13–3	0.08	23%	6 Dec →
dust2	13–7	0.02	33%	6 Dec →
mirage	7–13	-0.07	50%	5 Dec →
dust2	13–4	-0.01	27%	5 Dec →
dust2	6–13	-0.07	19%	3 Dec →
nuke	13–9	0.07	31%	3 Dec →
train	6–13	-0.03	15%	2 Dec →
overpass	16–14	-0.02	30%	1 Dec →
dust2	5–13	0.02	15%	26 Nov →
mirage	13–4	-0.06	7%	23 Nov →
dust2	13–5	0.01	17%	23 Nov →
mirage	13–11	-0.05	18%	23 Nov →
mirage	3–13	-0.02	19%	23 Nov →
mirage	13–10	-0.02	27%	23 Nov →
mirage	10–13	0.03	20%	18 Nov →
mirage	13–9	-0.04	30%	18 Nov →
mirage	4–13	-0.05	16%	18 Nov →