Xes1k — CS2 Stats

76561198864276579[U:1:904010851]

1,578Tracked matches53%Win rate2021Tracked since

2,781Hours in CS

CSDB Rating5.9 SolidPassive Rifler

Premier CS Rating19,527Purple band · top ~10.4% of ranked players (population est.)

CSDB Leaderboard#15018 of 34666 tracked

FaceitLevel 10 · 2,975 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=3,007), 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	60.1%	52.0%
Shot accuracy	5.2%	13.7%
Kill/death ratio	1.00	1.08
Match win rate	47.6%	48.8%

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Performance scores

Aim73

Positioning43

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLWLWWWLLLW

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.3

Aggression3.7

Utility6.1

Positioning4.3

Opening Duels0.3

Clutch2.8

Strong CT-side opener

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 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 48% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim7.3

Positioning4.3

Utility6.1

Mechanics7.1

Opening Duels2.2

Win Impact6.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time597ms−48ms

first ⅓ avg 645ms → last ⅓ avg 597ms

Headshot accuracy23.9%−3.0%

first ⅓ avg 27.0% → last ⅓ avg 23.9%

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

0.17Best rating — overpass 13–4

13–2Biggest win — overpass

8Longest win streak

12–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 67% over 12ancientWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	16–13	55%	-0.01
mirage	C	21	9–12	43%	-0.01
inferno	A	16	9–7	56%	-0.01
ancient	C	13	5–8	38%	-0.01
anubis	S	12	8–4	67%	-0.02
overpass	S	6	4–2	67%	0.01
nuke	—	2	1–1	50%	0.03
office	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,415Lifetime kills

1.00K/D

4,355Matches

47.6%Match win rate

60.1%Headshot % · Top 25% of Level 10 players

5.2%Shot accuracy

14,559MVPs

2,781Hours (in match)

5,209Bombs planted

1,921Bombs defused

Most-used weapons

AK-4752,008

M4A4 / M4A1-S25,210

Desert Eagle15,026

AWP14,905

P2000 / USP-S6,417

Glock-184,216

SSG 084,127

Knife2,306

MP91,995

Galil AR1,793

Lifetime map wins

13,659dust2

5,553inferno

1,552train

1,240vertigo

1,221nuke

13office

10ar_shoots

10lake

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

Faceit stats

Combat

2,171Matches

51%Win rate

1.11Avg K/D

77.5ADR

55%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	552	49%	1.09	16.3
Dust2	516	54%	1.12	16.1
Ancient	450	51%	1.13	16.7
Inferno	281	52%	1.14	16.2
Anubis	133	53%	1.02	15.9
Train	102	43%	1.07	16.5
Nuke	42	31%	0.92	13.8
Overpass	34	38%	0.85	12.4

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.

23.9%Headshot accuracy

32.8%Accuracy (enemy spotted)

33.7%Spray accuracy

81.8%Counter-strafing

9.8°Preaim

586msReaction time

14.6%T opening success

47.7%CT opening success

0.69Enemies flashed / flash

6.5%Flash assists

7.11HE damage / grenade

8.43Flashes / 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 14.6392% — below the 40% mark we flag

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.

38% win rate across 13 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	7–13	-0.03	24%	5 May →
dust2	13–3	-0.01	29%	5 May →
ancient	8–13	-0.04	20%	4 May →
inferno	13–5	0.03	34%	3 May →
inferno	13–7	0.02	37%	3 May →
anubis	13–10	-0.01	30%	2 May →
anubis	11–13	0.05	24%	27 Apr →
ancient	15–19	0.02	20%	23 Apr →
inferno	7–13	-0.01	29%	23 Apr →
anubis	13–11	-0.01	14%	23 Apr →
anubis	16–12	-0.04	22%	22 Apr →
inferno	13–4	0.06	23%	22 Apr →
anubis	5–13	-0.04	31%	22 Apr →
dust2	13–8	-0.02	23%	22 Apr →
mirage	13–11	-0.04	21%	22 Apr →
anubis	19–16	0.04	21%	22 Apr →
inferno	3–13	-0.10	24%	21 Apr →
anubis	13–11	-0.03	26%	17 Apr →
overpass	13–2	-0.03	20%	17 Apr →
nuke	13–4	0.05	32%	16 Apr →
inferno	13–7	0.00	20%	16 Apr →
ancient	10–13	0.01	23%	16 Apr →
inferno	10–13	-0.08	25%	16 Apr →
dust2	17–19	-0.04	22%	16 Apr →
mirage	9–13	-0.03	22%	15 Apr →
inferno	16–12	0.02	26%	15 Apr →
ancient	10–13	0.00	18%	12 Apr →
anubis	7–13	-0.06	17%	11 Apr →
mirage	13–2	0.02	36%	10 Apr →
overpass	11–13	-0.04	20%	10 Apr →
ancient	13–8	-0.01	26%	10 Apr →
mirage	11–13	-0.04	14%	6 Apr →
mirage	13–10	-0.05	18%	6 Apr →
dust2	9–13	-0.06	22%	6 Apr →
dust2	9–13	-0.04	15%	6 Apr →
overpass	16–13	0.02	29%	6 Apr →
ancient	13–11	0.03	34%	4 Apr →
dust2	13–7	0.04	27%	2 Apr →
dust2	13–4	0.06	22%	1 Apr →
overpass	13–4	0.17	24%	29 Mar →
dust2	13–6	0.05	28%	26 Mar →
dust2	13–10	0.02	17%	26 Mar →
inferno	13–6	-0.05	23%	26 Mar →
mirage	9–13	-0.01	26%	25 Mar →
anubis	13–10	-0.02	21%	25 Mar →
dust2	8–13	0.00	30%	24 Mar →
anubis	14–16	-0.05	23%	24 Mar →
nuke	12–16	0.01	24%	24 Mar →
mirage	13–11	0.02	23%	24 Mar →
dust2	7–2	0.07	40%	18 Mar →
dust2	10–13	-0.06	13%	17 Mar →
dust2	13–9	-0.01	26%	12 Mar →
dust2	7–13	0.00	37%	10 Mar →
inferno	13–4	-0.02	29%	10 Mar →
dust2	9–13	0.01	35%	10 Mar →
overpass	9–13	-0.02	38%	10 Mar →
dust2	13–10	-0.00	21%	9 Mar →
dust2	13–11	-0.04	26%	6 Mar →
overpass	13–6	-0.05	21%	6 Mar →
dust2	10–13	-0.02	13%	6 Mar →
mirage	11–13	-0.03	46%	6 Mar →
ancient	9–13	0.00	24%	6 Mar →
mirage	7–13	0.01	34%	5 Mar →
dust2	3–13	-0.07	24%	5 Mar →
ancient	7–13	-0.05	23%	5 Mar →
dust2	13–11	-0.03	26%	5 Mar →
mirage	16–19	-0.03	22%	2 Mar →
dust2	13–5	-0.00	32%	2 Mar →
mirage	6–13	-0.04	6%	2 Mar →
dust2	13–10	-0.05	30%	1 Mar →
anubis	13–11	-0.06	24%	1 Mar →
inferno	3–13	-0.06	16%	28 Feb →
inferno	8–13	-0.03	24%	28 Feb →
ancient	9–13	-0.05	18%	28 Feb →
mirage	13–9	-0.02	24%	28 Feb →
anubis	13–11	-0.03	38%	27 Feb →
mirage	16–14	-0.04	33%	27 Feb →
inferno	4–13	-0.02	48%	27 Feb →
mirage	5–13	-0.00	35%	27 Feb →
inferno	13–6	0.07	34%	27 Feb →
dust2	13–8	0.00	31%	27 Feb →
mirage	16–14	0.06	29%	25 Feb →
dust2	7–13	-0.01	28%	22 Feb →
dust2	8–13	-0.09	14%	22 Feb →
mirage	11–13	-0.07	28%	22 Feb →
ancient	11–13	0.00	35%	22 Feb →
office	13–7	0.01	26%	18 Feb →
mirage	10–13	-0.02	29%	17 Feb →
mirage	8–13	0.01	15%	15 Feb →
dust2	4–13	-0.08	23%	15 Feb →
ancient	13–4	-0.03	20%	1 Feb →
inferno	10–13	-0.01	39%	28 Jan →
dust2	13–8	-0.04	22%	15 Jan →
ancient	13–5	0.00	17%	15 Jan →
mirage	13–4	0.03	28%	12 Jan →
dust2	16–13	0.01	19%	11 Jan →
ancient	13–10	-0.01	19%	10 Jan →
dust2	10–13	0.04	41%	9 Jan →
mirage	13–3	0.12	37%	9 Jan →
inferno	16–14	0.05	27%	26 Dec →