Skaysens — CS2 Stats

DE76561197976868624[U:1:16602896]Steam profile ↗✓ No bans

1,970Tracked matches34%Win rate2020Tracked since

6,786Hours in CS32Hrs last 2 wks

CSDB Rating5.1 DevelopingSupport

Premier CS Rating7,141Light Blue band · top ~68.6% of ranked players (population est.)

CSDB Leaderboard#196569 of 259262 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

−152Premier CS Rating · 7,293 → 7,141

Rating over time

Premier CS Rating: 7,141 -3,974 28 Aug – 1 Nov · 32 days played

11,135Peak Premier in tracked matches

34Days played since 2026-08-28

Premier CS Rating

3,994 below peak (11,135)
+921 over 30 days · improving
Next: Blue band at 10,000 — 2,859 to go
Reached: Blue band · Light Blue band
Light Blue band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 4 median	Level 5 median	vs Level 5
Headshot rate	45.2%	42.7%	43.8%	above
Shot accuracy	16.1%	11.2%	12.0%	above
Kill/death ratio	1.06	0.99	1.02	above
Match win rate	42.0%	43.9%	44.7%	2.7% short

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim69

Positioning58

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY37–61–2Last 10037%Win rateLWWLLLWLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +6.7pp headshot accuracy · −44ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 25%
Avg reaction 535ms

Last 10

5–5 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 27%
Avg reaction 507ms

Last 20

10–10 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 24%
Avg reaction 529ms

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 (+1.3 against its own average).

Aim6.9

Utility6.5

Positioning5.8

Opening Duels3.3

Clutch5.0

Strong CT-side opener

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 84% playstyle similarity

Most alike: positioning profile, 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

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

Aim6.9

Positioning5.8

Utility6.5

Mechanics4.9

Opening Duels6.9

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 rating0.01+0.04

first ⅓ avg -0.03 → last ⅓ avg 0.01

Reaction time542ms−38ms

first ⅓ avg 580ms → last ⅓ avg 542ms

Headshot accuracy25.1%+2.6%

first ⅓ avg 22.5% → last ⅓ avg 25.1%

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

0.23Best match rating · 9–1 · inferno, 25 Oct →

50%Best headshot accuracy · 13–1 · inferno, 12 Sept →

414msFastest reaction time · 11–13 · inferno, 16 Sept →

13–1Biggest win · inferno, 12 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

10–10In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 78% over 9anubisWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	10–16	38%	-0.01
inferno	C	19	7–12	37%	0.01
anubis	D	14	3–11	21%	-0.02
ancient	D	12	4–8	33%	-0.01
cache	D	11	3–8	27%	-0.01
mirage	D	9	3–6	33%	-0.02
nuke	S	9	7–2	78%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

169,469Lifetime kills

1.06K/D · Top 50% of Level 4 players

8,212Matches

42.0%Match win rate

45.2%Headshot % · Top 50% of Level 4 players

16.1%Shot accuracy · Top 25% of Level 4 players

20,408MVPs

3,524Hours (in match)

9,617Bombs planted

1,997Bombs defused

Most-used weapons

AWP43,155

AK-4728,761

M4A4 / M4A1-S21,286

P2000 / USP-S14,843

Desert Eagle13,614

Glock-1810,428

MP77,019

Five-SeveN5,370

P2504,666

Tec-92,769

Lifetime map wins

25,300inferno

17,252dust2

2,727nuke

1,747cbble

1,471vertigo

824train

168office

163lake

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

Faceit stats

Combat

475Matches

52%Win rate

1.15Avg K/D

68.9ADR

38%Headshot %

Clutches & streaks

45%1v1 clutch win

12%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	8	50%	0.77	13.4
Inferno	7	71%	1.11	16.6
Anubis	7	29%	0.78	13.6
Dust2	4	75%	0.88	13.5
Overpass	3	33%	1.15	19.3
Vertigo	2	100%	0.73	12.0
Mirage	2	50%	0.71	15.0
Nuke	1	100%	1.08	13.0

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.

24.5%Headshot accuracy

32.9%Accuracy (enemy spotted)

30.8%Spray accuracy

72.1%Counter-strafing

9.7°Preaim

545msReaction time

62.3%T opening success

53.1%CT opening success

0.62Enemies flashed / flash

6.9%Flash assists

10.81HE damage / grenade

7.78Flashes / match

Recommended for you

Spend your practice time on Anubis

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	-0.07	20%	1 Nov →
dust2	13–11	0.11	34%	1 Nov →
dust2	13–11	0.03	19%	1 Nov →
mirage	11–13	-0.03	24%	1 Nov →
ancient	11–13	-0.05	28%	28 Oct →
inferno	7–13	0.03	32%	28 Oct →
inferno	13–11	0.02	21%	27 Oct →
cache	8–13	-0.03	18%	27 Oct →
cache	13–3	0.11	44%	26 Oct →
nuke	13–10	0.03	31%	25 Oct →
dust2	13–7	-0.03	23%	25 Oct →
inferno	9–7	0.11	37%	25 Oct →
inferno	7–13	-0.06	13%	25 Oct →
anubis	13–7	-0.05	22%	25 Oct →
anubis	8–13	-0.03	23%	25 Oct →
cache	11–13	0.00	12%	25 Oct →
anubis	3–13	-0.02	10%	25 Oct →
ancient	5–13	0.01	13%	25 Oct →
mirage	13–11	0.05	18%	25 Oct →
inferno	9–1	0.23	35%	25 Oct →
dust2	13–7	0.03	23%	24 Oct →
ancient	11–13	0.04	24%	23 Oct →
dust2	7–13	-0.03	44%	23 Oct →
mirage	6–13	0.00	36%	23 Oct →
ancient	5–13	-0.05	17%	23 Oct →
inferno	5–13	-0.00	22%	23 Oct →
anubis	1–13	-0.05	33%	23 Oct →
inferno	11–13	0.05	23%	22 Oct →
inferno	10–13	0.03	31%	22 Oct →
mirage	13–9	0.02	39%	22 Oct →
dust2	15–15	-0.03	20%	18 Oct →
mirage	5–13	0.03	25%	18 Oct →
anubis	9–13	-0.05	15%	18 Oct →
anubis	10–13	-0.05	31%	10 Oct →
dust2	13–8	0.02	32%	10 Oct →
nuke	13–9	0.01	25%	9 Oct →
anubis	13–9	0.06	35%	9 Oct →
mirage	16–13	-0.01	17%	5 Oct →
dust2	11–13	-0.07	18%	5 Oct →
dust2	13–6	0.05	17%	4 Oct →
nuke	13–11	-0.03	13%	4 Oct →
nuke	16–12	0.01	36%	4 Oct →
ancient	9–13	-0.05	22%	3 Oct →
inferno	13–4	0.02	12%	3 Oct →
dust2	2–13	-0.04	23%	3 Oct →
ancient	13–2	0.10	15%	3 Oct →
dust2	7–13	-0.01	16%	3 Oct →
anubis	4–13	0.04	15%	3 Oct →
inferno	10–13	-0.03	14%	3 Oct →
anubis	9–13	-0.05	25%	3 Oct →
nuke	13–6	0.00	23%	3 Oct →
mirage	8–13	-0.12	8%	30 Sept →
cache	6–13	-0.04	19%	30 Sept →
cache	8–13	0.00	16%	29 Sept →
anubis	15–15	0.08	18%	29 Sept →
mirage	9–13	-0.05	26%	29 Sept →
dust2	9–13	-0.01	21%	28 Sept →
mirage	7–13	-0.07	13%	28 Sept →
dust2	9–13	-0.02	14%	28 Sept →
dust2	13–10	0.09	41%	27 Sept →
ancient	13–8	0.07	31%	27 Sept →
inferno	4–13	-0.03	21%	27 Sept →
dust2	13–5	-0.02	33%	27 Sept →
dust2	7–13	-0.04	23%	27 Sept →
cache	6–13	-0.06	27%	27 Sept →
nuke	13–11	0.00	26%	27 Sept →
inferno	8–13	-0.02	24%	27 Sept →
anubis	13–10	-0.01	21%	26 Sept →
ancient	8–13	-0.05	24%	25 Sept →
dust2	8–13	-0.06	26%	23 Sept →
inferno	2–13	-0.07	4%	22 Sept →
inferno	7–13	-0.06	7%	19 Sept →
cache	13–11	-0.00	17%	19 Sept →
cache	6–13	-0.04	21%	18 Sept →
anubis	8–13	-0.06	28%	17 Sept →
inferno	11–13	-0.01	22%	16 Sept →
dust2	13–16	-0.04	20%	16 Sept →
nuke	13–8	-0.05	17%	14 Sept →
inferno	13–3	-0.01	15%	14 Sept →
cache	13–7	-0.00	26%	12 Sept →
inferno	13–1	0.04	50%	12 Sept →
dust2	8–13	-0.01	24%	12 Sept →
inferno	13–7	0.02	34%	7 Sept →
anubis	9–13	-0.01	34%	7 Sept →
cache	10–13	0.02	25%	6 Sept →
dust2	5–13	-0.06	21%	6 Sept →
nuke	14–16	-0.06	31%	6 Sept →
dust2	13–11	0.02	31%	6 Sept →
ancient	9–13	-0.01	21%	6 Sept →
dust2	8–13	-0.01	10%	6 Sept →
dust2	6–13	-0.02	16%	6 Sept →
dust2	7–13	-0.14	6%	5 Sept →
ancient	6–13	-0.07	24%	5 Sept →
anubis	10–13	-0.04	38%	4 Sept →
ancient	13–8	-0.06	18%	4 Sept →
nuke	7–13	-0.03	18%	4 Sept →
ancient	13–11	0.05	20%	1 Sept →
cache	11–13	-0.06	18%	1 Sept →
dust2	10–13	0.03	21%	1 Sept →
dust2	13–9	0.00	36%	28 Aug →