xantosz — CS2 Stats

NL76561198830085408[U:1:869819680]Steam profile ↗✓ No bans

6,750Tracked matches63%Win rate2021Tracked since

CSDB Rating7.6 StrongHybrid Rifler

FaceitLevel 10 · 3,324 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning59

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY58–41–1Last 10058%Win rateWWLLWLWWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.7

Aggression6.0

Utility6.4

Positioning5.9

Opening Duels3.5

Clutch3.2

Sharp aimerStrong 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 iM 95% playstyle similarity

Most alike: aim profile, utility contribution.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 56% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning5.9

Utility6.4

Mechanics7.7

Opening Duels3.5

Win Impact9.4

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time526ms−26ms

first ⅓ avg 552ms → last ⅓ avg 526ms

Headshot accuracy21.9%−4.7%

first ⅓ avg 26.6% → last ⅓ avg 21.9%

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

0.21Best rating — overpass 9–3

13–0Biggest win — mirage

12Longest win streak

W2Current streak

8–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 71% over 7overpassWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	19	10–9	53%	0.02
mirage	A	18	11–7	61%	0.03
anubis	A	12	7–5	58%	0.04
inferno	A	11	7–4	64%	0.04
dust2	A	10	6–4	60%	0.01
overpass	D	9	3–6	33%	0.05
nuke	S	7	5–2	71%	0.05
cache	A	5	3–2	60%	-0.00
train	—	3	2–1	67%	0.03
vertigo	—	2	2–0	100%	0.02
stronghold	—	1	0–1	0%	-0.08
warden	—	1	1–0	100%	0.04
rooftop	—	1	1–0	100%	0.11
golden	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,339Matches

53%Win rate

1.19Avg K/D

84.8ADR

51%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	890	51%	1.16	17.1
Inferno	529	59%	1.31	17.5
Anubis	524	52%	1.21	17.1
Ancient	515	50%	1.15	17.0
Dust2	436	51%	1.14	16.7
Train	267	53%	1.21	17.8
Overpass	236	59%	1.27	18.1
Nuke	227	50%	1.16	16.6

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.

21.8%Headshot accuracy

39.4%Accuracy (enemy spotted)

41.5%Spray accuracy

84.7%Counter-strafing

10.4°Preaim

525msReaction time

31.9%T opening success

55.8%CT opening success

0.60Enemies flashed / flash

7.1%Flash assists

8.01HE damage / grenade

13.34Flashes / 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 31.8856% — below the 40% mark we flag

Spend your practice time on Overpass

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	19–17	0.04	17%	27 Aug →
cache	13–11	0.02	23%	27 Aug →
mirage	7–13	-0.02	12%	23 Aug →
dust2	4–13	-0.07	26%	23 Aug →
ancient	13–4	0.10	24%	21 Aug →
cache	7–13	0.00	29%	20 Aug →
inferno	13–11	0.06	32%	20 Aug →
anubis	13–2	0.09	29%	20 Aug →
mirage	14–16	0.00	19%	19 Aug →
ancient	7–13	-0.07	22%	16 Aug →
ancient	13–7	0.01	14%	11 Aug →
nuke	10–13	0.02	18%	8 Aug →
inferno	9–13	-0.05	26%	2 Aug →
ancient	13–8	0.02	19%	30 Jul →
mirage	13–11	0.12	26%	26 Jul →
mirage	13–0	0.02	11%	25 Jul →
ancient	13–4	0.11	29%	25 Jul →
mirage	5–13	-0.03	14%	24 Jul →
mirage	13–5	0.11	26%	24 Jul →
inferno	13–5	-0.01	19%	21 Jul →
anubis	14–16	-0.01	18%	14 Jul →
anubis	10–13	0.03	18%	11 Jul →
dust2	4–13	-0.01	25%	11 Jul →
dust2	13–2	-0.03	37%	11 Jul →
anubis	13–3	0.09	18%	11 Jul →
nuke	13–6	0.02	31%	10 Jul →
cache	13–6	0.03	13%	10 Jul →
mirage	13–9	0.03	19%	8 Jul →
mirage	13–5	-0.01	33%	26 Jun →
ancient	13–7	0.02	18%	16 Jun →
mirage	13–9	0.09	21%	22 May →
ancient	13–7	0.14	26%	20 May →
inferno	13–8	0.06	13%	20 May →
nuke	13–4	0.08	19%	19 May →
cache	13–5	-0.04	25%	9 May →
mirage	6–13	-0.06	20%	9 May →
cache	7–13	-0.04	26%	23 Apr →
mirage	16–13	0.05	27%	18 Apr →
mirage	10–13	-0.01	33%	18 Apr →
mirage	19–22	0.00	24%	16 Apr →
inferno	13–3	0.12	22%	8 Apr →
inferno	10–13	-0.04	21%	1 Apr →
mirage	13–4	0.07	13%	30 Mar →
nuke	13–5	0.05	17%	24 Mar →
nuke	9–3	0.05	14%	20 Mar →
inferno	9–3	0.10	28%	20 Mar →
mirage	13–6	0.04	16%	14 Mar →
anubis	10–13	0.03	22%	9 Mar →
vertigo	13–7	0.03	25%	5 Mar →
mirage	10–13	-0.00	22%	4 Mar →
mirage	16–12	0.04	15%	26 Feb →
ancient	1–13	-0.06	23%	26 Feb →
anubis	7–13	-0.04	19%	24 Feb →
ancient	13–5	-0.01	22%	22 Feb →
overpass	5–13	-0.02	22%	17 Feb →
anubis	13–8	-0.00	17%	12 Feb →
overpass	13–6	0.07	30%	10 Feb →
dust2	9–13	-0.04	35%	9 Feb →
overpass	13–11	0.12	30%	8 Feb →
ancient	10–13	0.10	19%	7 Feb →
dust2	13–4	0.10	28%	7 Feb →
anubis	13–5	0.14	22%	5 Feb →
ancient	9–13	-0.02	18%	5 Feb →
ancient	7–13	-0.01	25%	5 Feb →
anubis	13–9	0.03	22%	4 Feb →
stronghold	2–9	-0.08	22%	3 Feb →
warden	13–9	0.04	29%	3 Feb →
ancient	13–10	-0.00	11%	3 Feb →
dust2	13–7	-0.01	29%	30 Jan →
anubis	13–3	0.01	26%	30 Jan →
ancient	8–13	0.07	24%	27 Jan →
anubis	11–13	0.03	17%	26 Jan →
dust2	13–7	0.09	35%	25 Jan →
dust2	16–14	0.07	23%	24 Jan →
overpass	11–13	0.06	20%	23 Jan →
ancient	13–11	0.01	27%	23 Jan →
overpass	3–13	0.00	33%	22 Jan →
nuke	10–13	0.03	21%	21 Jan →
ancient	10–13	-0.00	29%	20 Jan →
ancient	6–13	-0.02	26%	20 Jan →
ancient	16–13	0.06	25%	19 Jan →
dust2	13–5	0.02	32%	19 Jan →
anubis	13–8	0.07	27%	19 Jan →
overpass	8–13	0.07	25%	18 Jan →
dust2	8–13	-0.03	34%	18 Jan →
train	13–4	0.03	17%	15 Jan →
overpass	11–13	0.03	21%	12 Jan →
inferno	10–13	-0.04	33%	9 Jan →
inferno	16–14	0.04	24%	7 Jan →
train	11–13	0.05	28%	28 Dec →
rooftop	9–4	0.11	23%	21 Dec →
overpass	9–3	0.21	35%	21 Dec →
vertigo	9–4	0.01	44%	21 Dec →
nuke	9–1	0.09	22%	21 Dec →
inferno	9–6	0.14	39%	21 Dec →
golden	9–13	0.05	26%	20 Dec →
inferno	8–8	0.06	12%	20 Dec →
overpass	8–13	-0.05	44%	19 Dec →
ancient	11–13	0.01	12%	18 Dec →
train	13–4	0.03	33%	17 Dec →