marxx — CS2 Stats

76561198170096799[U:1:209831071]✓ No bans

610Tracked matches57%Win rate2022Tracked since

CSDB Rating5.6 SolidHybrid Rifler

FaceitLevel 9 · 1,791 ELOTop 20.7% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning63

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLWWWLLWLLW

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

Player DNA

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

Aim6.6

Aggression7.5

Utility4.2

Positioning6.3

Opening Duels3.7

Clutch3.4

Limited utility dependence

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 ropz 89% playstyle similarity

Most alike: positioning profile, 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 576ms 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

Positioning6.3

Utility4.2

Mechanics6.1

Opening Duels3.7

Win Impact7.4

Composite 5.6/10 (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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time577ms−10ms

first ⅓ avg 587ms → last ⅓ avg 577ms

Headshot accuracy19.3%+1.1%

first ⅓ avg 18.2% → last ⅓ avg 19.3%

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.

Highlights

0.30Best rating — inferno 9–1

13–3Biggest win — ancient

6Longest win streak

14–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 81% over 21overpassWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	11–11	50%	0.01
inferno	S	21	17–4	81%	0.06
anubis	B	14	7–7	50%	0.02
nuke	B	14	7–7	50%	0.03
dust2	C	10	4–6	40%	0.00
ancient	A	9	5–4	56%	0.02
overpass	D	9	3–6	33%	0.03
cache	—	1	1–0	100%	-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

330Matches

53%Win rate

1.21Avg K/D

82.2ADR

43%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	90	60%	1.24	17.2
Mirage	70	46%	1.15	15.9
Nuke	38	61%	1.28	17.4
Anubis	36	53%	1.22	16.9
Dust2	35	60%	1.22	16.4
Ancient	33	33%	1.10	16.0
Train	10	40%	0.92	14.6
Overpass	7	43%	1.22	17.3

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.

17.9%Headshot accuracy

36.3%Accuracy (enemy spotted)

39.3%Spray accuracy

77.5%Counter-strafing

12.0°Preaim

576msReaction time

42.7%T opening success

46.9%CT opening success

0.47Enemies flashed / flash

4.4%Flash assists

8.93HE damage / grenade

4.75Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0043° — above the 12° mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4683 — below the 0.5 mark we flag
Grenade Lineups →

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
ancient	4–13	-0.03	11%	12 Aug →
inferno	9–7	0.13	30%	29 Jun →
inferno	9–7	0.10	18%	28 Jun →
inferno	9–1	0.30	34%	28 Jun →
mirage	8–13	0.05	14%	24 Jun →
mirage	6–13	-0.04	21%	22 Jun →
anubis	13–10	-0.02	14%	18 Jun →
nuke	8–13	0.03	17%	11 Jun →
inferno	7–13	0.01	5%	11 Jun →
mirage	13–9	0.04	16%	10 Jun →
inferno	13–4	0.14	23%	1 Jun →
dust2	9–13	0.02	20%	1 Jun →
mirage	13–11	0.05	15%	29 May →
anubis	13–6	0.07	22%	27 May →
overpass	5–0	0.22	31%	27 May →
nuke	12–12	0.03	33%	27 May →
inferno	13–7	0.05	25%	24 May →
anubis	2–13	0.02	19%	19 May →
dust2	4–13	-0.06	17%	18 May →
inferno	13–8	-0.04	16%	14 May →
mirage	13–4	-0.03	23%	12 May →
ancient	15–15	0.03	16%	12 May →
overpass	7–13	-0.04	15%	8 May →
ancient	13–4	0.07	13%	8 May →
mirage	9–13	0.00	21%	7 May →
mirage	7–13	0.02	23%	6 May →
mirage	13–6	0.03	16%	5 May →
inferno	13–7	0.08	8%	4 May →
inferno	13–11	-0.00	13%	4 May →
inferno	13–4	0.04	15%	3 May →
mirage	4–13	-0.02	23%	3 May →
inferno	13–5	0.07	25%	2 May →
nuke	13–11	0.00	26%	2 May →
anubis	8–13	-0.03	9%	30 Apr →
anubis	7–13	-0.03	18%	29 Apr →
nuke	1–13	-0.05	26%	29 Apr →
mirage	3–13	-0.04	9%	29 Apr →
anubis	13–10	0.11	15%	28 Apr →
overpass	3–13	-0.00	18%	27 Apr →
mirage	13–9	-0.00	14%	27 Apr →
inferno	13–5	0.07	16%	27 Apr →
mirage	13–4	0.04	20%	27 Apr →
mirage	13–8	0.07	12%	27 Apr →
inferno	13–9	-0.02	15%	26 Apr →
dust2	10–13	0.01	21%	26 Apr →
inferno	13–8	0.06	19%	25 Apr →
dust2	13–7	-0.01	14%	24 Apr →
cache	13–8	-0.05	13%	24 Apr →
mirage	13–11	0.09	16%	24 Apr →
nuke	13–10	0.05	21%	23 Apr →
mirage	13–5	0.06	22%	23 Apr →
nuke	11–13	0.03	21%	23 Apr →
dust2	13–8	-0.03	13%	22 Apr →
anubis	13–9	-0.02	13%	21 Apr →
inferno	13–16	-0.01	6%	20 Apr →
dust2	16–13	0.04	19%	20 Apr →
anubis	13–4	0.06	23%	20 Apr →
anubis	6–13	0.04	15%	20 Apr →
overpass	5–13	-0.00	21%	19 Apr →
nuke	15–15	0.04	14%	19 Apr →
nuke	13–9	0.08	22%	17 Apr →
anubis	11–13	-0.00	14%	16 Apr →
mirage	11–13	0.01	13%	15 Apr →
ancient	9–13	-0.02	15%	14 Apr →
mirage	13–10	0.03	21%	13 Apr →
ancient	13–11	-0.01	9%	13 Apr →
ancient	13–10	0.08	20%	11 Apr →
anubis	10–13	0.07	13%	11 Apr →
nuke	13–8	0.09	30%	10 Apr →
inferno	13–11	0.00	19%	8 Apr →
overpass	10–13	0.03	23%	8 Apr →
overpass	15–15	0.07	17%	5 Apr →
mirage	13–4	0.10	13%	5 Apr →
nuke	9–13	0.01	9%	3 Apr →
nuke	7–13	0.01	14%	2 Apr →
mirage	5–13	-0.03	10%	2 Apr →
anubis	13–11	0.03	17%	2 Apr →
ancient	13–3	0.06	24%	2 Apr →
inferno	8–13	0.09	12%	1 Apr →
nuke	16–14	0.04	24%	1 Apr →
ancient	7–13	-0.03	7%	31 Mar →
dust2	10–13	0.01	22%	31 Mar →
inferno	13–9	0.01	20%	31 Mar →
nuke	16–13	0.06	22%	31 Mar →
inferno	16–14	0.12	24%	31 Mar →
dust2	10–13	0.02	18%	30 Mar →
inferno	13–5	-0.00	22%	29 Mar →
anubis	13–11	-0.00	13%	29 Mar →
overpass	13–11	0.09	19%	29 Mar →
overpass	10–13	-0.01	9%	28 Mar →
anubis	6–13	0.03	19%	28 Mar →
dust2	11–13	0.01	26%	28 Mar →
inferno	3–9	0.10	5%	26 Mar →
nuke	13–6	0.01	28%	26 Mar →
overpass	3–1	-0.08	17%	26 Mar →
ancient	13–9	0.01	20%	26 Mar →
dust2	13–4	0.02	27%	26 Mar →
mirage	10–13	-0.03	14%	25 Mar →
mirage	7–13	-0.05	11%	25 Mar →
mirage	0–7	-0.13	33%	25 Mar →