shadow — CS2 Stats

76561198741524890[U:1:781259162]Steam profile ↗✓ No bans

225Tracked matches41%Win rate2026Tracked since

CSDB Rating3.1 Learning

Premier CS Rating5,834Light Blue band · top ~74.8% of ranked players (population est.)

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

Aim27

Positioning46

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWWLLWTWWL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim2.7

Aggression6.5

Utility3.9

Positioning4.6

Opening Duels1.7

Clutch2.6

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 75% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 657ms 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

Aim2.7

Positioning4.6

Utility3.9

Mechanics5.0

Opening Duels1.7

Win Impact2.1

Composite 3.1/10 (Learning), 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 rating-0.03−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.03

Reaction time661ms+8ms

first ⅓ avg 653ms → last ⅓ avg 661ms

Headshot accuracy10.4%−2.9%

first ⅓ avg 13.3% → last ⅓ avg 10.4%

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

0.14Best rating — mirage 13–7

13–1Biggest win — dust2

4Longest win streak

8–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 50% over 20dust2Weakest map · 47% over 57

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	57	27–30	47%	-0.02
mirage	B	20	10–10	50%	0.01
inferno	B	6	3–3	50%	-0.04
anubis	—	4	2–2	50%	-0.02
cache	—	4	1–3	25%	-0.05
train	—	4	2–2	50%	-0.00
ancient	—	3	1–2	33%	-0.04
vertigo	—	1	1–0	100%	-0.08
nuke	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 57). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

28Matches

32%Win rate

0.70Avg K/D

66.4ADR

47%Headshot %

Clutches & streaks

33%1v1 clutch win

10%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	27%	0.63	11.4
Dust2	9	44%	0.83	15.4
Inferno	3	67%	0.64	12.0
Anubis	3	0%	0.65	10.7
Ancient	2	0%	0.66	20.0

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.

10.2%Headshot accuracy

28.9%Accuracy (enemy spotted)

26.7%Spray accuracy

72.5%Counter-strafing

11.0°Preaim

657msReaction time

32.3%T opening success

41.5%CT opening success

0.45Enemies flashed / flash

3.9%Flash assists

8.90HE damage / grenade

9.04Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.2226% — below the 15% 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 0.4501 — 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 32.2669% — below the 40% mark we flag

Spend your practice time on Dust 2

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

47% win rate across 57 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	-0.10	15%	30 Aug →
mirage	13–10	-0.06	3%	27 Aug →
dust2	13–10	-0.05	5%	27 Aug →
dust2	9–13	-0.08	6%	26 Aug →
anubis	6–13	-0.03	13%	26 Aug →
dust2	13–3	0.08	10%	26 Aug →
mirage	12–12	-0.08	17%	25 Aug →
dust2	13–5	0.03	13%	25 Aug →
dust2	13–6	0.07	15%	25 Aug →
dust2	11–13	-0.10	16%	24 Aug →
ancient	4–13	-0.07	0%	24 Aug →
cache	7–13	-0.05	12%	24 Aug →
dust2	4–13	-0.08	17%	24 Aug →
inferno	6–13	-0.03	9%	24 Aug →
mirage	11–13	-0.01	9%	24 Aug →
dust2	13–9	-0.05	7%	23 Aug →
dust2	16–13	0.05	9%	23 Aug →
ancient	13–2	-0.02	6%	23 Aug →
dust2	2–13	-0.07	0%	23 Aug →
inferno	13–11	0.01	8%	23 Aug →
mirage	14–16	-0.03	10%	22 Aug →
mirage	7–13	0.04	13%	21 Aug →
dust2	13–10	-0.04	5%	21 Aug →
mirage	10–13	-0.01	8%	21 Aug →
dust2	7–13	0.03	9%	21 Aug →
dust2	13–10	-0.02	2%	20 Aug →
dust2	8–13	-0.09	18%	20 Aug →
dust2	13–10	-0.04	12%	20 Aug →
dust2	9–13	-0.07	20%	19 Aug →
dust2	9–13	-0.04	16%	19 Aug →
mirage	13–6	0.12	17%	19 Aug →
cache	10–13	-0.07	8%	19 Aug →
dust2	16–13	-0.04	14%	19 Aug →
anubis	13–8	-0.06	7%	19 Aug →
dust2	16–14	-0.03	15%	19 Aug →
dust2	15–15	-0.03	16%	18 Aug →
dust2	15–15	-0.03	21%	18 Aug →
dust2	13–11	-0.05	8%	18 Aug →
train	10–13	-0.03	9%	18 Aug →
mirage	12–12	0.06	12%	18 Aug →
dust2	9–13	-0.05	12%	17 Aug →
dust2	12–12	0.07	9%	17 Aug →
mirage	12–12	-0.02	15%	17 Aug →
dust2	6–13	-0.03	6%	17 Aug →
dust2	13–5	0.03	12%	17 Aug →
dust2	13–10	0.05	11%	17 Aug →
train	13–5	0.06	24%	16 Aug →
train	13–5	-0.03	13%	16 Aug →
train	4–13	-0.01	4%	16 Aug →
dust2	13–11	0.01	8%	16 Aug →
inferno	6–1	-0.08	0%	16 Aug →
inferno	9–3	0.06	32%	16 Aug →
inferno	3–9	-0.11	10%	13 Aug →
dust2	13–6	0.02	7%	10 Aug →
dust2	13–2	0.00	6%	10 Aug →
mirage	13–11	0.02	12%	10 Aug →
dust2	3–13	-0.06	0%	8 Aug →
mirage	6–13	0.01	13%	7 Aug →
mirage	13–6	0.04	10%	7 Aug →
dust2	5–13	-0.06	14%	2 Aug →
dust2	1–13	-0.10	25%	2 Aug →
dust2	2–13	0.03	4%	2 Aug →
dust2	13–11	0.00	11%	2 Aug →
dust2	11–13	-0.02	19%	2 Aug →
vertigo	13–7	-0.08	14%	1 Aug →
mirage	10–13	-0.05	13%	1 Aug →
inferno	8–13	-0.08	7%	1 Aug →
dust2	13–10	0.03	11%	31 Jul →
mirage	13–10	-0.03	17%	31 Jul →
dust2	11–13	-0.07	8%	30 Jul →
nuke	9–13	0.00	5%	30 Jul →
dust2	11–13	0.03	18%	29 Jul →
mirage	13–10	-0.03	19%	29 Jul →
dust2	5–13	-0.02	19%	27 Jul →
cache	13–9	-0.02	12%	27 Jul →
dust2	9–13	-0.05	6%	27 Jul →
dust2	10–13	-0.02	13%	27 Jul →
dust2	13–7	0.02	14%	26 Jul →
dust2	1–13	-0.07	13%	26 Jul →
anubis	9–13	-0.01	13%	26 Jul →
cache	10–13	-0.08	17%	26 Jul →
dust2	13–10	-0.06	3%	26 Jul →
dust2	10–13	-0.05	10%	26 Jul →
dust2	8–13	-0.05	20%	25 Jul →
dust2	13–10	-0.05	8%	25 Jul →
mirage	13–9	-0.05	21%	24 Jul →
dust2	5–13	-0.09	8%	24 Jul →
dust2	7–13	0.02	18%	24 Jul →
mirage	13–11	0.07	9%	24 Jul →
dust2	13–11	0.05	14%	24 Jul →
mirage	13–5	0.04	16%	24 Jul →
mirage	11–13	-0.00	13%	24 Jul →
ancient	12–16	-0.03	12%	24 Jul →
dust2	13–10	0.06	12%	23 Jul →
dust2	13–4	0.02	14%	23 Jul →
dust2	8–13	0.02	19%	23 Jul →
mirage	13–7	0.14	13%	23 Jul →
dust2	16–12	0.01	10%	23 Jul →
anubis	13–3	0.02	10%	23 Jul →
dust2	13–1	0.07	24%	23 Jul →