HamDax — CS2 Stats

FR76561198440572804[U:1:480307076]Steam profile ↗✓ No bans

1,776Tracked matches53%Win rate2020Tracked since

4,032Hours in CS13Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

FaceitLevel 10 · 1,962 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), 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	43.0%	51.7%
Shot accuracy	11.5%	13.8%
Kill/death ratio	1.12	1.09
Match win rate	49.8%	48.7%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82

Positioning61

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWLLWLWLWLW

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

Player DNA

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

Aim8.2

Aggression10.0

Utility5.6

Positioning6.1

Opening Duels4.9

Clutch3.4

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 sh1ro 92% playstyle similarity

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

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 →

CSDB Rating breakdown

Aim8.2

Positioning6.1

Utility5.6

Mechanics7.6

Opening Duels4.9

Win Impact6.1

Composite 6.4/10 (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 rating-0.00−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time529ms−40ms

first ⅓ avg 568ms → last ⅓ avg 529ms

Headshot accuracy19.1%−1.1%

first ⅓ avg 20.3% → last ⅓ avg 19.1%

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

0.18Best rating — anubis 13–1

13–1Biggest win — inferno

5Longest win streak

8–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 67% over 18anubisWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	23	12–11	52%	0.01
mirage	B	20	10–10	50%	0.00
ancient	S	18	12–6	67%	0.01
inferno	C	17	7–10	41%	0.04
anubis	D	14	4–10	29%	-0.00
nuke	—	3	2–1	67%	0.00
train	—	3	0–3	0%	0.00
cache	—	1	0–1	0%	-0.06
overpass	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,654Lifetime kills

1.12K/D · Top 50% of Level 10 players

5,273Matches

49.8%Match win rate · Top 50% of Level 10 players

43.0%Headshot %

11.5%Shot accuracy

17,069MVPs

2,515Hours (in match)

3,364Bombs planted

3,067Bombs defused

Most-used weapons

AK-4733,725

AWP28,663

M4A4 / M4A1-S16,963

Desert Eagle9,895

P2000 / USP-S7,417

Glock-184,144

Galil AR2,588

FAMAS2,079

P902,048

Knife2,004

Lifetime map wins

19,491dust2

10,840inferno

1,452vertigo

956nuke

762cbble

571train

66lake

55ar_shoots

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

Faceit stats

Combat

1,702Matches

52%Win rate

1.04Avg K/D

75.7ADR

42%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	231	48%	1.11	15.2
Mirage	218	56%	1.02	14.9
Ancient	201	56%	1.11	15.9
Anubis	193	51%	1.02	15.3
Inferno	162	50%	1.01	14.5
Vertigo	18	56%	0.93	13.5
Train	17	47%	1.08	13.4
Nuke	17	41%	1.04	15.1

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.

19.4%Headshot accuracy

36.4%Accuracy (enemy spotted)

35.6%Spray accuracy

84.3%Counter-strafing

8.5°Preaim

541msReaction time

45.6%T opening success

53.9%CT opening success

0.63Enemies flashed / flash

6.2%Flash assists

5.92HE damage / grenade

15.15Flashes / match

Recommended for you

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.

29% win rate across 14 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
ancient	13–5	-0.01	17%	21 Jun →
mirage	10–13	0.01	20%	22 May →
dust2	8–13	-0.01	17%	21 May →
inferno	13–11	0.02	33%	21 May →
anubis	10–13	-0.03	16%	16 May →
ancient	13–7	0.01	11%	15 May →
mirage	4–13	-0.02	35%	14 May →
dust2	13–11	-0.04	16%	13 May →
dust2	6–13	0.04	14%	12 May →
dust2	13–8	0.06	24%	12 May →
anubis	12–16	-0.03	29%	12 May →
dust2	7–13	-0.05	4%	10 May →
dust2	13–5	-0.01	23%	9 May →
cache	2–13	-0.06	16%	9 May →
ancient	16–12	-0.00	15%	9 May →
dust2	13–9	0.03	27%	8 May →
inferno	11–13	0.03	22%	8 May →
dust2	13–11	0.06	16%	7 May →
anubis	16–13	-0.02	23%	7 May →
inferno	13–6	0.02	14%	5 May →
ancient	20–22	0.02	18%	5 May →
dust2	13–6	-0.01	21%	4 May →
ancient	13–5	-0.00	19%	4 May →
ancient	13–16	-0.06	13%	4 May →
nuke	9–13	0.01	20%	4 May →
mirage	13–9	0.01	21%	1 May →
dust2	11–13	0.01	20%	27 Apr →
mirage	4–13	-0.05	20%	26 Apr →
ancient	13–7	0.00	11%	26 Apr →
nuke	13–10	-0.01	26%	26 Apr →
anubis	9–13	-0.03	16%	19 Apr →
anubis	6–13	-0.05	15%	17 Apr →
dust2	13–9	0.03	22%	12 Apr →
anubis	11–13	0.05	13%	10 Apr →
inferno	13–11	0.07	14%	9 Apr →
anubis	4–13	0.04	10%	5 Apr →
dust2	3–13	-0.05	11%	5 Apr →
mirage	1–13	-0.08	14%	30 Mar →
mirage	13–3	0.03	30%	29 Mar →
mirage	13–7	-0.00	19%	28 Mar →
dust2	7–13	0.00	23%	22 Mar →
ancient	19–16	0.07	23%	19 Mar →
anubis	13–9	0.07	19%	18 Mar →
inferno	8–13	-0.01	26%	17 Mar →
dust2	16–14	0.04	31%	17 Mar →
mirage	13–7	0.01	19%	27 Jan →
inferno	16–19	0.02	8%	6 Jan →
mirage	13–8	-0.04	11%	6 Jan →
ancient	10–13	0.02	12%	4 Jan →
inferno	13–16	0.03	18%	4 Jan →
ancient	10–13	-0.04	3%	17 Dec →
ancient	13–9	0.15	16%	15 Nov →
mirage	1–8	-0.05	8%	12 Nov →
mirage	13–11	0.12	18%	11 Nov →
inferno	6–13	0.10	15%	11 Nov →
ancient	13–6	0.04	22%	9 Nov →
overpass	13–5	0.05	22%	9 Nov →
mirage	11–13	0.00	22%	1 Nov →
dust2	13–5	0.06	16%	31 Oct →
mirage	7–13	-0.02	8%	15 Oct →
inferno	13–6	0.03	26%	15 Oct →
ancient	7–13	-0.01	24%	15 Oct →
inferno	6–13	-0.04	8%	14 Oct →
mirage	12–12	0.01	19%	14 Oct →
dust2	5–13	-0.02	15%	12 Oct →
dust2	13–7	0.05	26%	24 Sept →
mirage	13–7	-0.00	14%	22 Sept →
inferno	13–4	0.10	26%	20 Sept →
nuke	13–6	0.01	35%	20 Sept →
inferno	13–1	0.06	19%	20 Sept →
dust2	11–13	0.03	12%	15 Sept →
dust2	10–13	0.01	16%	15 Sept →
mirage	15–15	0.01	16%	9 Sept →
mirage	13–3	0.04	15%	17 Jul →
inferno	13–3	0.17	50%	16 Jul →
dust2	13–7	0.04	23%	16 Jul →
dust2	11–13	-0.00	19%	16 Jul →
train	7–13	0.02	12%	8 Jul →
inferno	11–13	0.03	12%	8 Jul →
train	5–13	-0.06	7%	7 Jul →
dust2	13–4	-0.02	19%	6 Jul →
anubis	3–13	-0.04	8%	6 Jul →
anubis	6–13	-0.06	17%	6 Jul →
mirage	13–8	0.04	28%	5 Jul →
mirage	13–3	0.11	9%	2 Jul →
mirage	4–13	-0.10	17%	1 Jul →
inferno	1–7	0.03	80%	23 Jun →
anubis	16–12	-0.02	13%	26 May →
inferno	11–13	-0.02	20%	26 May →
inferno	11–13	0.02	19%	23 May →
ancient	7–13	-0.04	29%	23 May →
ancient	13–11	-0.03	11%	22 May →
ancient	13–7	-0.01	8%	21 May →
train	8–13	0.04	26%	21 May →
dust2	14–16	-0.05	19%	17 May →
ancient	13–10	-0.01	18%	6 May →
anubis	13–1	0.18	26%	4 May →
ancient	13–11	0.02	11%	4 May →
anubis	4–13	-0.06	18%	4 May →
anubis	3–13	-0.04	14%	1 May →