Fifty Shades of Silver — CS2 Stats

US76561198092059414[U:1:131793686]Steam profile ↗✓ No bans

738Tracked matches43%Win rate2020Tracked since

1,568Hours in CS2Hrs last 2 wks

CSDB Rating3.8 Learning

Ladder ranks via Leetify

Performance scores

Aim41

Positioning42

Utility31

0–100 skill scores via Leetify.

Recent form

COLD47–52–1Last 10047%Win rateWLLLLWLWLL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim4.1

Aggression4.4

Utility3.1

Positioning4.2

Opening Duels0.5

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 NiKo 72% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 663ms 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

Aim4.1

Positioning4.2

Utility3.1

Mechanics6.0

Opening Duels1.1

Win Impact2.8

Composite 3.8/10 (Learning), 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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time660ms−39ms

first ⅓ avg 700ms → last ⅓ avg 660ms

Headshot accuracy11.4%+1.0%

first ⅓ avg 10.3% → last ⅓ avg 11.4%

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

0.21Best rating — overpass 13–5

13–3Biggest win — mirage

6Longest win streak

8–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 61% over 18trainWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	19	11–8	58%	-0.01
mirage	A	18	11–7	61%	0.02
inferno	B	15	8–7	53%	-0.02
overpass	B	13	7–6	54%	0.03
nuke	D	13	4–9	31%	-0.01
dust2	C	10	4–6	40%	-0.00
train	D	6	1–5	17%	-0.01
cache	—	3	0–3	0%	-0.08
anubis	—	2	0–2	0%	-0.04
office	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Lifetime stats

41,506Lifetime kills

1.03K/D · Top 50% of tracked players

2,276Matches

44.3%Match win rate

31.2%Headshot %

17.4%Shot accuracy · Top 25% of tracked players

5,079MVPs

881Hours (in match)

3,301Bombs planted

541Bombs defused

Most-used weapons

AK-4711,591

M4A4 / M4A1-S6,835

AWP4,840

P2000 / USP-S2,730

Negev2,404

P901,625

Glock-181,490

AUG1,280

SG 5531,262

Desert Eagle1,025

Lifetime map wins

3,183dust2

2,618nuke

2,433inferno

901train

633vertigo

172office

159cbble

74lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.4%Headshot accuracy

30.3%Accuracy (enemy spotted)

34.4%Spray accuracy

77.1%Counter-strafing

10.4°Preaim

663msReaction time

25.5%T opening success

38.5%CT opening success

0.42Enemies flashed / flash

4.3%Flash assists

10.77HE damage / grenade

2.96Flashes / 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 11.4018% — 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 0.4183 — 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 25.5198% — below the 40% mark we flag

Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	0.07	11%	30 Aug →
mirage	6–13	-0.02	9%	30 Aug →
cache	2–13	-0.08	7%	13 Jul →
anubis	6–13	-0.04	22%	12 Jul →
ancient	9–13	0.05	21%	12 Jul →
mirage	13–10	0.04	13%	12 Jul →
mirage	9–13	-0.03	6%	1 Jul →
mirage	13–3	0.06	19%	22 Jun →
ancient	5–13	-0.07	0%	9 May →
inferno	3–9	-0.04	0%	3 May →
cache	4–13	-0.07	15%	3 May →
cache	2–13	-0.08	18%	3 May →
anubis	3–13	-0.05	8%	7 Apr →
mirage	7–13	0.01	15%	6 Mar →
inferno	9–13	-0.08	13%	21 Feb →
overpass	13–9	-0.04	9%	19 Feb →
ancient	13–10	-0.04	8%	7 Feb →
nuke	4–13	-0.01	9%	7 Feb →
dust2	6–13	-0.04	4%	3 Feb →
ancient	13–7	-0.07	13%	3 Feb →
inferno	8–13	-0.01	16%	29 Jan →
ancient	10–13	-0.01	13%	29 Jan →
dust2	13–11	0.06	13%	23 Jan →
inferno	16–13	-0.00	11%	19 Jan →
office	13–10	0.02	10%	13 Jan →
overpass	13–5	0.21	16%	13 Jan →
mirage	13–8	-0.01	9%	12 Jan →
mirage	16–13	-0.02	8%	11 Jan →
dust2	10–13	-0.06	14%	11 Jan →
nuke	13–5	-0.03	11%	11 Jan →
mirage	13–6	0.03	20%	10 Jan →
ancient	13–9	-0.04	7%	10 Jan →
ancient	8–13	0.02	9%	5 Jan →
train	8–13	-0.03	11%	5 Jan →
mirage	13–6	0.05	11%	23 Dec →
dust2	13–10	-0.06	16%	23 Dec →
ancient	13–9	-0.03	7%	20 Dec →
inferno	3–13	-0.14	12%	20 Dec →
overpass	13–9	0.05	11%	19 Dec →
train	6–13	-0.01	7%	19 Dec →
nuke	2–5	-0.00	6%	17 Dec →
overpass	14–16	0.01	9%	16 Dec →
mirage	13–7	0.08	13%	16 Dec →
inferno	13–7	-0.02	7%	15 Dec →
ancient	16–13	0.01	13%	14 Dec →
mirage	13–7	-0.05	6%	13 Dec →
nuke	13–9	0.06	7%	12 Dec →
overpass	7–13	0.06	9%	12 Dec →
overpass	13–9	0.11	22%	11 Dec →
ancient	4–13	0.02	6%	11 Dec →
nuke	16–13	-0.03	4%	9 Dec →
ancient	16–14	-0.03	11%	9 Dec →
ancient	13–11	0.04	9%	8 Dec →
nuke	8–13	-0.05	7%	7 Dec →
overpass	9–13	-0.00	12%	7 Dec →
inferno	13–11	-0.04	9%	7 Dec →
dust2	13–11	-0.02	9%	7 Dec →
inferno	13–7	-0.05	23%	6 Dec →
overpass	7–13	-0.03	2%	5 Dec →
inferno	13–16	0.07	7%	5 Dec →
overpass	13–9	0.02	3%	3 Dec →
ancient	5–13	-0.06	7%	2 Dec →
inferno	13–11	0.05	10%	2 Dec →
ancient	13–7	0.01	6%	2 Dec →
dust2	13–4	0.04	11%	2 Dec →
ancient	13–8	0.02	9%	21 Nov →
inferno	13–9	0.01	12%	21 Nov →
nuke	13–5	0.01	12%	18 Nov →
mirage	5–13	-0.01	12%	17 Nov →
train	13–10	0.06	8%	17 Nov →
train	8–13	0.00	5%	14 Nov →
dust2	4–13	-0.04	11%	14 Nov →
mirage	13–8	-0.01	11%	14 Nov →
overpass	3–13	-0.05	0%	14 Nov →
inferno	13–11	-0.01	12%	12 Nov →
nuke	4–13	-0.09	0%	6 Nov →
nuke	8–13	-0.06	7%	6 Nov →
dust2	10–13	-0.01	14%	12 Oct →
overpass	5–13	0.04	13%	12 Oct →
mirage	13–5	0.08	12%	11 Oct →
nuke	11–13	0.01	4%	5 Oct →
mirage	13–9	0.08	18%	4 Oct →
nuke	13–16	0.04	10%	4 Oct →
ancient	2–13	-0.09	4%	4 Oct →
inferno	11–13	-0.01	12%	1 Oct →
overpass	13–7	-0.00	8%	30 Sept →
ancient	13–10	0.05	13%	29 Sept →
overpass	16–14	0.03	12%	28 Sept →
inferno	13–8	0.00	7%	26 Sept →
nuke	6–13	0.05	8%	21 Sept →
ancient	8–13	-0.07	4%	21 Sept →
dust2	5–13	0.07	8%	20 Sept →
mirage	3–8	0.02	20%	16 Sept →
mirage	9–13	0.08	19%	13 Sept →
dust2	10–13	0.03	9%	13 Sept →
train	2–13	-0.03	14%	3 Aug →
mirage	3–13	-0.03	18%	3 Aug →
train	9–13	-0.02	16%	31 Jul →
inferno	13–16	-0.01	12%	31 Jul →
nuke	12–12	0.02	8%	23 Jul →