Standing desk warrior — CS2 Stats

76561198062331022[U:1:102065294]

2,405Tracked matches29%Win rate2020Tracked since

CSDB Rating5.1 DevelopingAggressive Rifler

Premier CS Rating7,808Light Blue band · top ~65.4% of ranked players (population est.)

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim95

Positioning44

Utility10

0–100 skill scores via Leetify.

Recent form

COLD38–54–8Last 10038%Win rateWLLLWLLLLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.5

Aggression7.6

Utility1.0

Positioning4.4

Opening Duels3.5

Sharp aimerExcellent counter-strafingLimited 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 85% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower positioning profile; lower 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 95 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 51 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 560ms 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

Aim9.5

Positioning4.4

Utility1.0

Mechanics9.3

Opening Duels3.5

Win Impact0.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.04

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time542ms−33ms

first ⅓ avg 575ms → last ⅓ avg 542ms

Headshot accuracy24.9%+0.1%

first ⅓ avg 24.8% → last ⅓ avg 24.9%

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

0.16Best rating — mirage 3–5

13–2Biggest win — mirage

5Longest win streak

6–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 60% over 5mirageWeakest map · 23% over 22

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	29	11–18	38%	-0.01
mirage	D	22	5–17	23%	0.03
dust2	C	14	5–9	36%	-0.00
inferno	B	11	5–6	45%	0.01
ancient	C	9	4–5	44%	0.01
anubis	A	5	3–2	60%	-0.02
nuke	—	4	2–2	50%	0.04
overpass	—	3	3–0	100%	0.03
vertigo	—	2	0–2	0%	-0.03
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,601Matches

50%Win rate

0.96Avg K/D

—ADR

47%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	20	45%	0.87	13.2
Ancient	10	40%	1.04	15.4
Anubis	4	0%	0.69	11.0
Inferno	4	25%	0.96	16.5
Overpass	2	50%	1.28	21.0
Nuke	2	50%	0.54	8.0
Vertigo	1	100%	0.73	16.0

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.

26.2%Headshot accuracy

40.5%Accuracy (enemy spotted)

45.8%Spray accuracy

91.7%Counter-strafing

8.2°Preaim

560msReaction time

36.6%T opening success

51.6%CT opening success

0.23Enemies flashed / flash

3.0%Flash assists

3.22HE damage / grenade

1.65Flashes / 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.

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 0.2324 — below the 0.5 mark we flag
Grenade Lineups →
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 36.604% — below the 40% mark we flag

Spend your practice time on Mirage

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

23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–5	0.01	36%	25 Aug →
mirage	8–13	0.04	28%	25 Aug →
inferno	2–13	0.08	27%	24 Aug →
mirage	2–13	-0.02	32%	24 Aug →
cache	13–6	0.15	24%	24 Aug →
dust2	0–4	0.00	0%	24 Aug →
ancient	11–13	-0.00	21%	23 Aug →
cache	13–16	0.00	35%	23 Aug →
dust2	5–13	0.08	29%	23 Aug →
cache	13–10	0.05	17%	23 Aug →
mirage	3–5	0.16	13%	22 Aug →
ancient	10–13	0.04	24%	22 Aug →
mirage	5–13	-0.05	19%	21 Aug →
inferno	13–10	0.10	33%	21 Aug →
dust2	11–13	-0.04	33%	20 Aug →
cache	10–13	0.03	25%	20 Aug →
inferno	3–9	-0.06	13%	20 Aug →
mirage	5–13	-0.04	27%	20 Aug →
mirage	9–13	0.08	35%	20 Aug →
mirage	8–13	0.06	23%	20 Aug →
mirage	11–13	-0.01	21%	19 Aug →
overpass	13–4	0.07	18%	19 Aug →
anubis	15–15	0.00	29%	19 Aug →
anubis	13–11	-0.01	32%	19 Aug →
mirage	12–12	0.00	26%	19 Aug →
ancient	10–13	-0.02	24%	19 Aug →
ancient	16–14	0.02	29%	18 Aug →
nuke	4–13	0.05	38%	18 Aug →
ancient	12–16	0.05	23%	18 Aug →
mirage	13–11	0.06	12%	18 Aug →
dust2	12–12	-0.07	28%	17 Aug →
mirage	10–2	-0.02	25%	17 Aug →
ancient	13–3	-0.02	20%	17 Aug →
cache	7–13	-0.01	32%	17 Aug →
cache	10–13	-0.10	26%	17 Aug →
cache	13–3	0.03	32%	17 Aug →
cache	5–13	-0.03	20%	17 Aug →
dust2	2–13	0.02	21%	17 Aug →
cache	5–13	-0.06	20%	17 Aug →
inferno	7–13	-0.08	26%	16 Aug →
mirage	7–13	0.07	28%	16 Aug →
inferno	11–13	0.01	18%	16 Aug →
ancient	9–13	-0.05	32%	16 Aug →
anubis	13–8	-0.05	33%	16 Aug →
mirage	12–12	-0.04	16%	16 Aug →
mirage	15–15	0.12	30%	15 Aug →
mirage	6–13	-0.01	20%	15 Aug →
dust2	13–6	0.03	21%	15 Aug →
inferno	13–9	0.03	45%	15 Aug →
vertigo	4–13	-0.11	18%	15 Aug →
mirage	13–2	-0.01	19%	15 Aug →
dust2	13–8	0.05	29%	15 Aug →
cache	13–8	0.01	31%	14 Aug →
cache	13–11	0.01	23%	13 Aug →
mirage	9–13	-0.01	33%	13 Aug →
inferno	10–7	0.05	19%	13 Aug →
cache	4–8	0.02	38%	13 Aug →
cache	5–13	0.05	27%	13 Aug →
cache	11–13	-0.06	23%	13 Aug →
dust2	10–13	-0.06	24%	13 Aug →
anubis	13–8	0.06	21%	12 Aug →
cache	13–7	0.01	18%	12 Aug →
mirage	2–13	0.03	8%	12 Aug →
overpass	13–10	0.02	25%	12 Aug →
ancient	13–2	0.08	34%	12 Aug →
mirage	12–12	0.02	25%	12 Aug →
mirage	7–13	-0.01	19%	11 Aug →
inferno	1–13	-0.06	67%	11 Aug →
cache	13–9	-0.07	17%	11 Aug →
ancient	13–8	-0.05	18%	11 Aug →
inferno	13–9	0.04	22%	10 Aug →
mirage	13–4	0.11	27%	10 Aug →
cache	12–12	0.04	23%	10 Aug →
dust2	6–13	-0.07	34%	10 Aug →
cache	9–13	-0.05	26%	9 Aug →
cache	13–9	-0.08	24%	9 Aug →
inferno	3–7	0.00	0%	9 Aug →
nuke	3–13	0.08	40%	9 Aug →
overpass	13–9	-0.02	12%	9 Aug →
mirage	13–6	0.04	18%	9 Aug →
cache	13–10	-0.04	39%	2 Aug →
inferno	13–10	0.00	0%	29 Jul →
cache	13–6	-0.02	19%	29 Jul →
cache	7–13	-0.02	30%	29 Jul →
cache	2–13	-0.03	25%	29 Jul →
cache	7–13	-0.10	35%	29 Jul →
cache	11–13	-0.01	22%	29 Jul →
cache	13–11	0.04	23%	22 Jul →
cache	9–13	-0.03	24%	22 Jul →
cache	11–13	-0.01	31%	22 Jul →
cache	7–13	-0.03	36%	22 Jul →
dust2	13–7	0.01	21%	21 Jul →
dust2	4–13	0.05	23%	21 Jul →
dust2	13–2	0.04	26%	20 Jul →
dust2	4–13	-0.08	26%	20 Jul →
nuke	13–9	0.03	31%	18 Jul →
dust2	13–11	0.01	24%	18 Jul →
train	12–12	-0.06	12%	18 Jul →
vertigo	10–13	0.05	32%	18 Jul →
anubis	2–13	-0.12	11%	18 Jul →