⚓ BaYnE🔥♞ — CS2 Stats

DK76561197997565181[U:1:37299453]Steam profile ↗✓ No bans

3,166Tracked matches48%Win rate2020Tracked since

7,552Hours in CS32Hrs last 2 wks

CSDB Rating6.1 SolidSupport

Premier CS Rating21,594Top 50% of 211,827 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#61664 of 258877 tracked

FaceitLevel 10 · 1,742 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,594 +1,015 29 Jul – 23 Sept · 10 days played

22,465Peak Premier in tracked matches

1,742Highest Faceit ELO seen on CSDB

35Days played since 2026-07-29

Faceit ELO

At peak — 1,742
Next: Level 9 at 1,751 — 9 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

871 below peak (22,465)
Next: Red band at 25,000 — 3,406 to go
Reached: Pink band · Purple band · Blue band · Light Blue band

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate	35.5%	50.9%
Shot accuracy	18.7%	13.7%
Kill/death ratio	1.26	1.09
Match win rate	67.8%	48.4%

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Performance scores

Aim78

Positioning53

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLWWLWWLLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.8pp headshot accuracy · −46ms reaction

Win rate −10pp 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

3–2 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 23%
Avg reaction 508ms

Last 10

5–5 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 20%
Avg reaction 544ms

Last 20

11–9 · 55% win rate
Avg rating 0.02
Avg headshot accuracy 21%
Avg reaction 567ms

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 (+1.2 against its own average).

Aim7.8

Utility5.6

Positioning5.3

Opening Duels3.5

Clutch3.2

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 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 583ms 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

Aim7.8

Positioning5.3

Utility5.6

Mechanics6.4

Opening Duels3.2

Win Impact4.4

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time599ms−23ms

first ⅓ avg 622ms → last ⅓ avg 599ms

Headshot accuracy19.4%−2.1%

first ⅓ avg 21.6% → last ⅓ avg 19.4%

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.

Personal bests

0.18Best match rating · 10–13 · anubis, 10 Aug →

100%Best headshot accuracy · 13–1 · inferno, 26 Aug →

438msFastest reaction time · 13–10 · inferno, 30 Oct →

13–0Biggest win · dust2, 17 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

8–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 71% over 21nukeWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	27	13–14	48%	0.02
dust2	S	21	15–6	71%	0.04
anubis	A	16	9–7	56%	0.04
cache	B	14	7–7	50%	0.05
nuke	D	10	3–7	30%	0.01
ancient	A	8	5–3	63%	0.01
mirage	—	4	1–3	25%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

283,529Lifetime kills

1.26K/D · Top 25% of Level 10 players

13,018Matches

67.8%Match win rate · Top 5% of Level 10 players

35.5%Headshot %

18.7%Shot accuracy · Top 10% of Level 10 players

23,353MVPs

3,703Hours (in match)

9,933Bombs planted

2,325Bombs defused

Most-used weapons

AK-4754,927

Desert Eagle52,506

M4A4 / M4A1-S28,511

AWP21,791

P25014,352

P2000 / USP-S12,105

FAMAS9,225

Tec-97,633

SSG 087,539

Negev7,310

Lifetime map wins

37,733dust2

21,634inferno

6,579nuke

3,468train

2,825cbble

2,103vertigo

841office

492bank

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

Faceit stats

Combat

2,160Matches

50%Win rate

1.12Avg K/D

82.6ADR

46%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	226	49%	1.14	16.3
Inferno	215	48%	1.27	17.3
Ancient	126	48%	1.13	16.6
Anubis	112	46%	1.16	16.1
Nuke	77	53%	1.19	16.9
Overpass	59	49%	1.28	17.9
Mirage	32	44%	1.09	16.2
Cache	17	47%	1.19	16.4

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.

20.5%Headshot accuracy

37.2%Accuracy (enemy spotted)

39.0%Spray accuracy

78.9%Counter-strafing

9.4°Preaim

583msReaction time

47.0%T opening success

38.7%CT opening success

0.59Enemies flashed / flash

5.3%Flash assists

8.34HE damage / grenade

10.34Flashes / 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.

Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.7437% — below the 40% mark we flag

Spend your practice time on Nuke

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–13	-0.03	28%	30 Oct →
inferno	13–10	0.00	19%	30 Oct →
ancient	13–6	0.02	23%	29 Oct →
ancient	11–13	0.06	28%	27 Oct →
cache	13–7	0.17	19%	26 Oct →
cache	13–11	0.08	19%	26 Oct →
inferno	11–13	-0.04	15%	26 Oct →
nuke	4–13	-0.07	10%	26 Oct →
ancient	13–11	-0.01	31%	22 Oct →
anubis	7–13	-0.02	10%	22 Oct →
ancient	13–6	-0.04	25%	21 Oct →
inferno	13–9	0.04	28%	21 Oct →
dust2	13–6	0.02	17%	19 Oct →
inferno	13–10	0.01	34%	19 Oct →
anubis	0–13	-0.03	29%	19 Oct →
cache	7–13	-0.04	10%	19 Oct →
anubis	13–7	0.12	22%	18 Oct →
inferno	10–13	0.03	22%	18 Oct →
dust2	13–4	0.03	25%	18 Oct →
cache	4–13	0.01	5%	14 Oct →
cache	13–7	0.06	22%	10 Oct →
anubis	13–3	0.07	23%	8 Oct →
inferno	10–13	0.01	19%	29 Sept →
anubis	1–13	-0.08	17%	29 Sept →
cache	5–13	-0.02	16%	26 Sept →
cache	12–12	-0.01	17%	24 Sept →
nuke	9–13	-0.02	25%	24 Sept →
anubis	3–13	-0.05	17%	23 Sept →
anubis	13–8	0.14	14%	23 Sept →
inferno	13–16	-0.03	22%	23 Sept →
dust2	5–13	-0.02	13%	10 Sept →
dust2	16–13	-0.00	8%	2 Sept →
inferno	13–11	0.06	11%	30 Aug →
ancient	13–9	-0.02	12%	30 Aug →
nuke	13–7	0.02	16%	30 Aug →
inferno	7–13	-0.02	29%	29 Aug →
inferno	6–13	-0.03	22%	27 Aug →
inferno	13–2	0.13	29%	27 Aug →
inferno	13–1	0.06	100%	26 Aug →
dust2	13–11	-0.01	19%	26 Aug →
inferno	13–8	0.04	25%	26 Aug →
dust2	13–5	0.08	29%	23 Aug →
anubis	6–13	-0.02	32%	22 Aug →
inferno	13–9	-0.03	17%	19 Aug →
inferno	11–13	0.01	21%	19 Aug →
anubis	13–6	-0.01	7%	18 Aug →
dust2	13–11	-0.02	15%	18 Aug →
inferno	13–8	0.04	24%	17 Aug →
dust2	13–0	0.03	16%	17 Aug →
cache	19–17	0.06	18%	17 Aug →
dust2	15–15	0.15	30%	16 Aug →
cache	13–6	0.02	31%	16 Aug →
inferno	13–1	0.15	8%	15 Aug →
ancient	9–13	0.02	10%	15 Aug →
anubis	13–7	0.08	18%	15 Aug →
inferno	13–6	0.07	19%	15 Aug →
dust2	13–6	0.02	21%	15 Aug →
dust2	16–14	0.01	25%	15 Aug →
cache	11–13	0.09	22%	15 Aug →
anubis	13–4	0.10	27%	15 Aug →
dust2	13–9	0.05	19%	15 Aug →
nuke	8–13	0.01	25%	14 Aug →
mirage	9–13	-0.01	20%	14 Aug →
inferno	11–13	0.05	11%	14 Aug →
anubis	13–4	0.02	19%	14 Aug →
inferno	13–5	0.06	30%	14 Aug →
dust2	11–13	0.05	23%	14 Aug →
ancient	3–13	-0.04	25%	14 Aug →
nuke	9–13	0.07	18%	14 Aug →
dust2	13–9	0.03	26%	14 Aug →
nuke	13–5	0.09	23%	13 Aug →
mirage	2–13	-0.01	9%	13 Aug →
mirage	3–13	-0.08	33%	13 Aug →
dust2	15–15	0.07	26%	13 Aug →
nuke	9–13	0.01	23%	13 Aug →
inferno	3–13	-0.08	22%	13 Aug →
ancient	13–8	0.10	22%	10 Aug →
anubis	10–13	0.18	20%	10 Aug →
dust2	16–12	0.11	21%	10 Aug →
inferno	15–15	0.02	17%	10 Aug →
inferno	15–15	-0.00	16%	7 Aug →
nuke	13–2	0.08	31%	7 Aug →
dust2	13–8	0.04	23%	7 Aug →
anubis	16–13	0.04	18%	7 Aug →
dust2	13–11	0.04	29%	2 Aug →
cache	13–3	0.12	19%	2 Aug →
cache	5–13	0.01	25%	2 Aug →
inferno	14–16	-0.01	27%	2 Aug →
cache	13–9	0.00	22%	2 Aug →
cache	7–13	0.08	17%	2 Aug →
dust2	11–3	0.03	31%	2 Aug →
anubis	13–3	0.13	30%	2 Aug →
nuke	1–13	-0.11	14%	2 Aug →
nuke	7–13	0.01	24%	2 Aug →
mirage	13–8	0.07	14%	31 Jul →
inferno	4–1	-0.04	0%	31 Jul →
inferno	14–16	-0.04	19%	31 Jul →
dust2	13–16	0.10	19%	29 Jul →
anubis	12–16	-0.00	19%	29 Jul →
dust2	7–13	-0.01	30%	29 Jul →