`Vlad Shad0w — CS2 Stats

US76561197976435668[U:1:16169940]Steam profile ↗✓ No bans

1,542Tracked matches67%Win rate2020Tracked since

CSDB Rating7.0 StrongSupport

FaceitLevel 7Top 42.3% 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

Aim79

Positioning56

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateLLWWWWTWLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −3.6pp headshot accuracy · −5ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 12%
Avg reaction 484ms

Last 10

6–3–1 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 14%
Avg reaction 567ms

Last 20

14–5–1 · 70% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 569ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim7.9

Utility6.0

Positioning5.6

Opening Duels3.4

Strong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

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

Aim7.9

Positioning5.6

Utility6.0

Mechanics7.5

Opening Duels5.2

Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time547ms−80ms

first ⅓ avg 627ms → last ⅓ avg 547ms

Headshot accuracy16.6%−2.3%

first ⅓ avg 18.9% → last ⅓ avg 16.6%

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.

Personal bests

0.18Best match rating · 7–3 · rush_001, 7 Oct →

39%Best headshot accuracy · 13–1 · dust2, 24 Jun →

422msFastest reaction time · 13–6 · dust2, 3 Oct →

13–0Biggest win · inferno, 1 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak

L2Current streak

3–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 2 of 13 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	76	38–38	50%	0.00
nuke	B	6	3–3	50%	-0.00
cache	—	3	2–1	67%	0.02
vertigo	—	2	1–1	50%	-0.01
mirage	—	2	1–1	50%	0.01
ancient	—	2	1–1	50%	-0.03
inferno	—	2	1–1	50%	-0.02
train	—	2	2–0	100%	0.07
rush_001	—	1	1–0	100%	0.18
fachwerk	—	1	0–1	0%	-0.03
anubis	—	1	0–1	0%	-0.04
shelter	—	1	1–0	100%	0.05
office	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Faceit stats

Combat

110Matches

55%Win rate

1.38Avg K/D

—ADR

33%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	4	25%	0.57	9.5
Inferno	1	0%	1.00	19.0
Mirage	1	0%	0.60	12.0
Vertigo	1	0%	1.00	18.0

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.

16.5%Headshot accuracy

34.3%Accuracy (enemy spotted)

33.7%Spray accuracy

83.7%Counter-strafing

7.1°Preaim

532msReaction time

49.8%T opening success

51.5%CT opening success

0.83Enemies flashed / flash

5.4%Flash assists

8.16HE damage / grenade

8.96Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
nuke	6–13	-0.01	8%	13 Oct →
dust2	5–13	0.02	15%	13 Oct →
dust2	13–6	0.02	11%	13 Oct →
dust2	13–8	0.02	8%	12 Oct →
dust2	13–11	0.04	18%	12 Oct →
dust2	13–8	-0.02	14%	12 Oct →
dust2	12–12	0.06	15%	8 Oct →
dust2	13–3	0.01	15%	8 Oct →
dust2	5–13	-0.04	16%	7 Oct →
rush_001	7–3	0.18	16%	7 Oct →
dust2	10–13	0.00	15%	5 Oct →
nuke	13–3	0.01	15%	5 Oct →
dust2	11–13	-0.01	28%	5 Oct →
dust2	13–7	-0.04	10%	5 Oct →
dust2	13–1	0.00	21%	3 Oct →
dust2	13–6	-0.00	9%	3 Oct →
dust2	5–1	0.03	29%	3 Oct →
dust2	13–8	0.01	9%	3 Oct →
dust2	13–7	0.07	24%	3 Oct →
dust2	13–6	-0.01	12%	3 Oct →
dust2	13–3	0.09	12%	3 Oct →
dust2	13–10	0.00	14%	3 Oct →
dust2	12–12	0.04	21%	1 Oct →
dust2	13–9	0.05	16%	27 Sept →
nuke	13–8	-0.00	17%	27 Sept →
dust2	12–12	0.00	23%	27 Sept →
vertigo	7–13	-0.00	15%	27 Sept →
dust2	11–13	0.02	16%	27 Sept →
dust2	13–6	0.08	23%	27 Sept →
dust2	3–13	0.00	32%	15 Sept →
dust2	4–13	-0.04	21%	9 Sept →
dust2	11–13	-0.00	16%	9 Sept →
dust2	13–11	-0.05	13%	9 Sept →
dust2	8–13	0.01	10%	17 Aug →
dust2	9–13	-0.07	28%	10 Aug →
dust2	11–13	0.02	18%	10 Aug →
dust2	13–2	0.10	16%	10 Aug →
dust2	13–10	0.03	22%	10 Aug →
dust2	5–13	-0.01	13%	10 Aug →
dust2	2–13	-0.10	9%	10 Aug →
dust2	13–10	0.00	19%	9 Aug →
dust2	13–4	0.07	12%	9 Aug →
dust2	5–13	0.04	17%	29 Jul →
dust2	13–10	0.03	17%	29 Jul →
dust2	9–13	0.02	19%	29 Jul →
vertigo	13–9	-0.02	21%	29 Jul →
dust2	13–6	0.01	21%	22 Jul →
mirage	13–9	0.04	15%	22 Jul →
dust2	13–8	-0.00	13%	22 Jul →
dust2	13–4	-0.01	20%	19 Jul →
fachwerk	10–13	-0.03	16%	19 Jul →
anubis	12–12	-0.04	13%	15 Jul →
nuke	13–4	-0.01	23%	15 Jul →
shelter	13–5	0.05	14%	12 Jul →
office	8–13	0.00	18%	12 Jul →
cache	13–7	-0.00	3%	7 Jul →
dust2	13–9	-0.01	14%	6 Jul →
dust2	2–13	-0.06	19%	6 Jul →
dust2	10–13	-0.05	18%	6 Jul →
dust2	7–13	0.04	20%	6 Jul →
dust2	6–13	-0.03	19%	6 Jul →
ancient	7–13	-0.00	15%	6 Jul →
dust2	10–13	-0.07	19%	6 Jul →
inferno	0–7	-0.05	10%	5 Jul →
mirage	9–13	-0.03	16%	4 Jul →
cache	9–13	-0.00	21%	4 Jul →
dust2	13–4	0.06	29%	3 Jul →
nuke	10–13	0.03	19%	3 Jul →
cache	13–8	0.06	20%	3 Jul →
dust2	11–13	0.00	36%	3 Jul →
dust2	15–15	0.03	21%	1 Jul →
nuke	7–13	-0.05	9%	1 Jul →
inferno	13–0	0.00	16%	1 Jul →
dust2	13–10	-0.05	14%	1 Jul →
ancient	13–7	-0.05	10%	1 Jul →
dust2	12–16	-0.02	16%	1 Jul →
dust2	13–10	-0.05	9%	1 Jul →
dust2	5–13	0.00	11%	30 Jun →
dust2	9–13	0.01	16%	30 Jun →
dust2	13–3	0.14	20%	30 Jun →
dust2	11–13	0.02	26%	29 Jun →
dust2	13–11	0.02	25%	29 Jun →
dust2	13–8	0.10	15%	27 Jun →
dust2	13–9	-0.01	21%	27 Jun →
dust2	7–13	-0.02	16%	24 Jun →
dust2	13–8	-0.00	17%	24 Jun →
dust2	13–1	0.07	39%	24 Jun →
dust2	12–12	0.02	24%	24 Jun →
dust2	12–12	-0.02	14%	24 Jun →
dust2	2–13	-0.04	20%	23 Jun →
dust2	11–13	0.01	15%	23 Jun →
dust2	8–13	-0.03	13%	23 Jun →
dust2	13–5	0.06	23%	20 Jun →
train	13–7	0.02	17%	20 Jun →
train	13–8	0.13	18%	20 Jun →
dust2	13–5	0.00	27%	8 Jun →
dust2	13–8	-0.03	21%	8 Jun →
dust2	12–12	-0.05	17%	8 Jun →
dust2	12–12	-0.05	11%	8 Jun →
dust2	5–13	-0.07	25%	7 Jun →