HaXxTriX - XerxZ — CS2 Stats

SE76561197971409903[U:1:11144175]Steam profile ↗✓ No bans

3,330Tracked matches47%Win rate2020Tracked since

7,394Hours in CS34Hrs last 2 wks

CSDB Rating6.5 SolidSupport

Premier CS Rating22,173Top 50% of 204,412 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)

CSDB Leaderboard#52095 of 251657 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−176Premier CS Rating · 22,349 → 22,173

Rating over time

Premier CS Rating: 22,173 +629 30 Aug – 14 Oct · 23 days played

24,260Peak Premier in tracked matches

20Days played since 2026-08-30

Premier CS Rating

1,914 below peak (24,087)
+934 over 30 days · improving
Next: Red band at 25,000 — 2,827 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

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 7 among CSDB-tracked players (n=14,138), 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 7 median	Level 8 median	vs Level 8
Headshot rate	50.9%	45.7%	46.8%	above
Shot accuracy	13.3%	12.7%	13.0%	above
Kill/death ratio	1.31	1.05	1.06	above
Match win rate	45.8%	45.7%	46.3%	meets

Across every metric we can compare, this profile already matches the typical Level 8 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim71

Positioning67

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLLWWLWWLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −3.4pp headshot accuracy · −45ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 24%
Avg reaction 569ms

Last 10

4–6 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 23%
Avg reaction 553ms

Last 20

9–11 · 45% win rate
Avg rating 0.03
Avg headshot accuracy 25%
Avg reaction 576ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.1

Utility7.2

Positioning6.7

Opening Duels5.1

Clutch4.6

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 s1mple 79% playstyle similarity

Most alike: utility contribution, 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 570ms 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

Aim7.1

Positioning6.7

Utility7.2

Mechanics4.8

Opening Duels7.2

Win Impact3.9

Composite 6.5/10 (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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time581ms−26ms

first ⅓ avg 607ms → last ⅓ avg 581ms

Headshot accuracy22.2%+3.7%

first ⅓ avg 18.5% → last ⅓ avg 22.2%

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

0.17Best match rating · 13–4 · nuke, 15 Sept →

45%Best headshot accuracy · 13–10 · dust2, 11 Oct →

438msFastest reaction time · 10–13 · inferno, 11 Oct →

13–2Biggest win · cache, 18 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L2Current streak

10–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 67% over 18dust2Weakest map · 9% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	22	8–14	36%	0.04
nuke	S	18	12–6	67%	0.04
mirage	C	14	6–8	43%	0.03
cache	A	14	8–6	57%	0.04
ancient	B	13	7–6	54%	0.04
dust2	D	11	1–10	9%	0.01
anubis	D	8	2–6	25%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

220,997Lifetime kills

1.31K/D · Top 25% of Level 7 players

9,634Matches

45.8%Match win rate · Top 50% of Level 7 players

50.9%Headshot % · Top 50% of Level 7 players

13.3%Shot accuracy · Top 50% of Level 7 players

25,890MVPs

4,238Hours (in match)

12,299Bombs planted

2,669Bombs defused

Most-used weapons

AK-4765,169

M4A4 / M4A1-S35,574

AWP23,054

Desert Eagle19,115

P2000 / USP-S16,528

Glock-189,052

P2508,959

Tec-94,517

MAC-104,342

Five-SeveN3,378

Lifetime map wins

25,961inferno

7,949dust2

6,388nuke

2,116train

1,690vertigo

1,321cbble

338office

200italy

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

Faceit stats

Combat

73Matches

53%Win rate

1.26Avg K/D

97.2ADR

50%Headshot %

Clutches & streaks

43%1v1 clutch win

38%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	5	80%	1.36	19.0
Mirage	3	33%	1.08	17.7
Inferno	2	100%	1.36	28.5
Anubis	2	50%	1.36	19.5
Vertigo	2	50%	1.12	13.0
Dust2	1	100%	1.05	23.0

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.

22.1%Headshot accuracy

33.9%Accuracy (enemy spotted)

32.5%Spray accuracy

71.5%Counter-strafing

8.0°Preaim

570msReaction time

67.3%T opening success

50.5%CT opening success

0.69Enemies flashed / flash

6.5%Flash assists

13.86HE damage / grenade

9.71Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	4–13	-0.02	28%	14 Oct →
nuke	2–13	-0.07	29%	12 Oct →
inferno	13–3	0.16	16%	12 Oct →
anubis	13–5	0.07	24%	12 Oct →
ancient	5–13	0.02	22%	12 Oct →
inferno	13–11	-0.00	22%	12 Oct →
nuke	13–9	0.08	19%	12 Oct →
mirage	11–13	0.07	19%	11 Oct →
inferno	10–13	0.02	21%	11 Oct →
cache	4–13	0.08	30%	11 Oct →
dust2	11–13	0.00	26%	11 Oct →
dust2	13–10	0.01	45%	11 Oct →
mirage	3–13	-0.09	15%	10 Oct →
cache	13–11	0.16	24%	10 Oct →
dust2	3–13	-0.00	29%	10 Oct →
mirage	16–13	0.07	24%	10 Oct →
mirage	4–13	-0.01	33%	10 Oct →
anubis	6–13	-0.04	16%	10 Oct →
nuke	13–9	0.06	28%	9 Oct →
inferno	13–11	0.07	21%	9 Oct →
inferno	10–13	0.04	16%	9 Oct →
cache	9–13	0.07	22%	9 Oct →
ancient	16–14	0.03	12%	9 Oct →
nuke	13–9	0.02	17%	9 Oct →
cache	13–11	0.02	14%	8 Oct →
dust2	7–13	-0.02	24%	8 Oct →
ancient	13–3	0.12	21%	8 Oct →
nuke	13–8	0.08	16%	8 Oct →
cache	8–13	0.00	14%	8 Oct →
nuke	14–16	-0.00	24%	6 Oct →
mirage	10–13	-0.02	15%	6 Oct →
cache	13–8	0.05	17%	6 Oct →
mirage	11–13	0.05	32%	6 Oct →
ancient	13–4	0.05	10%	6 Oct →
mirage	11–13	0.08	20%	6 Oct →
inferno	10–13	-0.03	10%	3 Oct →
cache	16–13	0.04	17%	3 Oct →
dust2	12–16	0.04	17%	3 Oct →
inferno	5–13	0.01	20%	3 Oct →
mirage	4–13	0.07	19%	3 Oct →
inferno	6–13	-0.01	7%	3 Oct →
nuke	14–16	0.01	13%	1 Oct →
dust2	3–13	-0.02	25%	1 Oct →
inferno	10–13	0.05	33%	30 Sept →
nuke	13–8	0.04	34%	30 Sept →
ancient	5–13	0.04	8%	30 Sept →
cache	13–5	0.10	26%	30 Sept →
nuke	13–11	-0.08	11%	30 Sept →
cache	13–9	-0.01	19%	29 Sept →
inferno	4–13	-0.02	3%	29 Sept →
anubis	9–13	0.03	13%	29 Sept →
dust2	10–13	-0.00	12%	29 Sept →
nuke	13–7	0.02	28%	29 Sept →
anubis	11–13	0.02	18%	29 Sept →
dust2	3–13	0.08	22%	29 Sept →
inferno	13–4	0.05	22%	27 Sept →
nuke	13–11	0.07	23%	27 Sept →
inferno	13–9	0.11	20%	27 Sept →
cache	8–13	-0.03	21%	27 Sept →
mirage	10–13	0.07	27%	26 Sept →
anubis	9–13	0.01	23%	26 Sept →
ancient	5–13	-0.04	14%	26 Sept →
inferno	12–12	0.04	27%	26 Sept →
dust2	15–15	0.05	18%	25 Sept →
ancient	13–10	0.06	18%	25 Sept →
dust2	4–13	-0.00	18%	25 Sept →
nuke	11–13	0.03	21%	25 Sept →
mirage	13–9	0.04	25%	24 Sept →
inferno	5–13	-0.02	16%	24 Sept →
cache	10–13	0.00	21%	24 Sept →
ancient	11–13	0.08	18%	24 Sept →
inferno	9–13	0.01	15%	24 Sept →
nuke	3–13	0.10	15%	24 Sept →
cache	13–11	-0.00	9%	20 Sept →
ancient	13–10	0.05	14%	20 Sept →
mirage	13–10	0.06	17%	20 Sept →
inferno	15–15	0.06	19%	20 Sept →
anubis	9–13	0.03	28%	19 Sept →
ancient	1–13	-0.01	14%	19 Sept →
anubis	7–13	-0.03	9%	19 Sept →
cache	8–13	0.09	20%	19 Sept →
inferno	13–11	-0.04	23%	19 Sept →
nuke	16–13	-0.05	16%	18 Sept →
inferno	11–13	0.06	18%	18 Sept →
ancient	13–8	-0.02	14%	18 Sept →
inferno	13–9	0.07	30%	18 Sept →
ancient	13–10	0.02	9%	18 Sept →
mirage	13–3	-0.01	19%	18 Sept →
cache	13–2	0.04	37%	18 Sept →
nuke	13–9	0.03	20%	18 Sept →
inferno	11–13	0.07	18%	18 Sept →
mirage	13–2	0.07	16%	16 Sept →
inferno	15–15	0.13	15%	16 Sept →
nuke	13–2	0.15	26%	16 Sept →
anubis	13–8	0.03	17%	15 Sept →
ancient	8–13	0.06	19%	15 Sept →
inferno	13–11	0.12	18%	15 Sept →
mirage	13–10	0.04	25%	15 Sept →
nuke	5–13	-0.01	11%	15 Sept →
nuke	13–4	0.17	21%	15 Sept →