HaXxTriX - XerxZ — CS2 Stats

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

3,255Tracked matches63%Win rate2020Tracked since

7,341Hours in CS36Hrs last 2 wks

CSDB Rating7.4 StrongPositional Player

Premier CS Rating23,381Top 25% of 190,010 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)

CSDB Leaderboard#36332 of 237554 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 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+329Premier CS Rating · 23,052 → 23,381

+2Tracked matches · now 3,255

+2.3ppWin rate · 60.7% → 63.0%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 20 days played since 22 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,052 +1,029 22 Aug – 21 Sept · 21 days played

24,260Peak Premier in tracked matches

20Days played since 2026-08-22

Premier CS Rating

522 below peak (23,903)
+1,358 over 30 days · improving
Next: Red band at 25,000 — 1,619 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=13,070), 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	13.4%	12.7%	13.0%	above
Kill/death ratio	1.31	1.05	1.06	above
Match win rate	45.9%	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

Aim66

Positioning78

Utility77

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWTLLLLWWLW

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · −2.9pp headshot accuracy · +20ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–3–1 · 20% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 631ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 18%
Avg reaction 624ms

Last 20

12–6–2 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 19%
Avg reaction 614ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim6.6

Utility7.7

Positioning7.8

Opening Duels6.6

Clutch4.6

Effective flashesHigh utility contribution

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 donk 66% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 66% T opening-duel success — entries that actually open the round.

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Reaction time. 613ms 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

Aim6.6

Positioning7.8

Utility7.7

Mechanics5.4

Opening Duels8.4

Win Impact9.3

Composite 7.4/10 (Strong), 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 rating0.05+0.02

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time615ms+14ms

first ⅓ avg 600ms → last ⅓ avg 615ms

Headshot accuracy20.3%−1.0%

first ⅓ avg 21.3% → last ⅓ avg 20.3%

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.

Personal bests

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

37%Best headshot accuracy · 13–2 · cache, 18 Sept →

453msFastest reaction time · 2–13 · anubis, 10 Sept →

13–2Biggest win · cache, 18 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

10–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 64% over 14ancientWeakest map · 30% over 23

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	23	7–16	30%	0.03
inferno	B	22	11–11	50%	0.05
nuke	A	22	13–9	59%	0.05
cache	A	14	9–5	64%	0.05
mirage	B	13	7–6	54%	0.04
anubis	D	6	2–4	33%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

219,622Lifetime kills

1.31K/D · Top 25% of Level 7 players

9,562Matches

45.9%Match win rate · Top 50% of Level 7 players

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

13.4%Shot accuracy · Top 50% of Level 7 players

25,692MVPs

4,207Hours (in match)

12,197Bombs planted

2,650Bombs defused

Most-used weapons

AK-4764,643

M4A4 / M4A1-S35,343

AWP22,935

Desert Eagle19,008

P2000 / USP-S16,442

Glock-188,961

P2508,925

Tec-94,488

MAC-104,305

Five-SeveN3,369

Lifetime map wins

25,808inferno

7,863dust2

6,230nuke

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
Vertigo	2	50%	1.12	13.0
Inferno	2	100%	1.36	28.5
Anubis	2	50%	1.36	19.5
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.

20.3%Headshot accuracy

34.5%Accuracy (enemy spotted)

34.0%Spray accuracy

74.2%Counter-strafing

9.2°Preaim

613msReaction time

66.2%T opening success

61.0%CT opening success

0.75Enemies flashed / flash

7.9%Flash assists

12.43HE damage / grenade

12.79Flashes / match

Recommended for you

Spend your practice time on Ancient

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

30% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
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 →
ancient	5–13	0.04	24%	14 Sept →
inferno	7–13	0.03	26%	14 Sept →
mirage	13–4	0.07	27%	14 Sept →
nuke	16–14	0.06	29%	14 Sept →
nuke	15–15	0.12	28%	12 Sept →
ancient	13–4	0.13	13%	12 Sept →
mirage	9–13	0.08	32%	12 Sept →
inferno	13–11	0.05	15%	12 Sept →
cache	8–3	0.09	24%	12 Sept →
nuke	3–13	-0.00	17%	12 Sept →
cache	13–8	0.03	18%	12 Sept →
ancient	4–13	0.00	13%	11 Sept →
nuke	13–11	0.10	19%	11 Sept →
nuke	11–13	-0.04	15%	11 Sept →
ancient	6–13	-0.02	18%	11 Sept →
inferno	7–13	0.04	19%	11 Sept →
anubis	2–13	0.01	11%	10 Sept →
ancient	5–13	0.01	14%	10 Sept →
ancient	9–13	0.01	18%	9 Sept →
mirage	9–13	0.04	16%	9 Sept →
inferno	13–7	0.11	25%	9 Sept →
nuke	8–13	0.04	30%	9 Sept →
ancient	9–13	0.06	18%	8 Sept →
mirage	3–13	-0.02	17%	8 Sept →
nuke	7–13	-0.03	18%	8 Sept →
nuke	11–13	0.10	30%	8 Sept →
inferno	13–7	0.08	19%	8 Sept →
ancient	13–2	0.15	26%	8 Sept →
inferno	9–13	0.01	25%	7 Sept →
cache	13–10	0.07	35%	7 Sept →
ancient	13–4	0.03	31%	7 Sept →
cache	13–9	0.01	10%	7 Sept →
nuke	4–13	-0.01	12%	7 Sept →
inferno	13–11	0.03	24%	6 Sept →
cache	13–8	0.11	14%	6 Sept →
mirage	13–8	0.08	12%	6 Sept →
nuke	16–14	0.10	24%	6 Sept →
ancient	7–13	0.03	33%	6 Sept →
nuke	13–4	0.12	11%	5 Sept →
ancient	9–13	0.00	22%	5 Sept →
inferno	13–4	0.11	16%	5 Sept →
cache	13–11	0.03	23%	5 Sept →
ancient	13–11	0.04	16%	5 Sept →
cache	4–13	0.06	29%	5 Sept →
ancient	8–13	0.01	23%	3 Sept →
cache	8–13	-0.03	17%	3 Sept →
inferno	11–13	-0.04	19%	3 Sept →
ancient	9–13	0.01	11%	3 Sept →
ancient	5–13	0.03	22%	2 Sept →
mirage	7–13	-0.00	29%	2 Sept →
inferno	13–6	0.08	30%	2 Sept →
cache	5–13	-0.02	22%	2 Sept →
nuke	13–11	0.04	28%	2 Sept →
anubis	13–9	0.08	20%	31 Aug →
nuke	16–13	0.11	17%	31 Aug →
mirage	9–13	0.05	12%	31 Aug →
cache	13–8	0.10	24%	31 Aug →
ancient	9–13	-0.02	14%	31 Aug →
ancient	12–16	0.08	18%	30 Aug →
cache	14–16	0.05	19%	30 Aug →
inferno	16–13	0.04	19%	30 Aug →
inferno	7–13	-0.02	14%	27 Aug →
nuke	13–7	-0.01	21%	27 Aug →
inferno	8–13	-0.03	27%	27 Aug →
mirage	13–4	0.02	29%	27 Aug →
inferno	9–13	0.01	15%	27 Aug →
ancient	10–13	0.01	20%	27 Aug →
nuke	11–13	0.01	15%	22 Aug →
anubis	15–15	-0.00	17%	22 Aug →
ancient	13–2	0.13	23%	22 Aug →
nuke	13–5	0.06	18%	22 Aug →
inferno	13–3	0.15	23%	22 Aug →
nuke	13–4	0.09	31%	22 Aug →
mirage	11–13	-0.01	34%	22 Aug →
cache	13–9	0.04	25%	22 Aug →