B1LAL👻 — CS2 Stats

DE76561198117722949[U:1:157457221]Steam profile ↗✓ No bans

1,644Tracked matches61%Win rate2020Tracked since

5,588Hours in CS10Hrs last 2 wks

CSDB Rating6.3 SolidPositional Player

Premier CS Rating21,277Top 50% of 212,133 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)

CSDB Leaderboard#66147 of 259041 tracked

FaceitLevel 7 · 1,595 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (3 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: 21,277 +3,896 1 Aug – 28 Oct · 30 days played

22,379Peak Premier in tracked matches

1,595Highest Faceit ELO seen on CSDB

30Days played since 2026-08-01

Faceit ELO

At peak — 1,595
Next: Level 9 at 1,751 — 156 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

1,102 below peak (22,379)
+1,870 over 30 days · improving
+3,896 over 90 days
Next: Red band at 25,000 — 3,723 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 7 among CSDB-tracked players (n=14,595), 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 7 median	Level 8 median	vs Level 8
Headshot rate	36.2%	45.7%	46.8%	10.6% short
Shot accuracy	15.4%	12.7%	13.0%	above
Kill/death ratio	1.04	1.05	1.06	meets
Match win rate	38.4%	45.7%	46.3%	7.9% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim60

Positioning69

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWWTLLLLWW

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −2.6pp headshot accuracy · −45ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 488ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 14%
Avg reaction 541ms

Last 20

12–7–1 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 16%
Avg reaction 563ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim6.0

Utility5.1

Positioning6.9

Opening Duels4.6

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 Twistzz 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 572ms 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

Aim6.0

Positioning6.9

Utility5.1

Mechanics5.3

Opening Duels5.7

Win Impact8.6

Composite 6.3/10 (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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time587ms+18ms

first ⅓ avg 570ms → last ⅓ avg 587ms

Headshot accuracy15.5%−0.7%

first ⅓ avg 16.2% → last ⅓ avg 15.5%

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

0.16Best match rating · 13–2 · mirage, 21 Sept →

48%Best headshot accuracy · 13–1 · inferno, 16 Sept →

422msFastest reaction time · 8–13 · inferno, 28 Oct →

13–1Biggest win · cache, 23 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

8–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 70% over 23anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	11–13	46%	0.00
cache	S	23	16–7	70%	0.03
inferno	B	16	8–8	50%	0.02
ancient	A	14	8–6	57%	0.03
mirage	C	11	4–7	36%	0.04
anubis	D	9	3–6	33%	-0.00
nuke	—	3	0–3	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

179,131Lifetime kills

1.04K/D

8,928Matches

38.4%Match win rate

36.2%Headshot %

15.4%Shot accuracy · Top 50% of Level 7 players

15,917MVPs

3,279Hours (in match)

7,240Bombs planted

1,807Bombs defused

Most-used weapons

AK-4763,615

M4A4 / M4A1-S33,208

AWP14,043

Desert Eagle6,810

P2000 / USP-S6,723

Glock-185,137

P2504,275

FAMAS4,127

UMP-453,779

Knife3,708

Lifetime map wins

24,059dust2

9,998inferno

2,966cbble

1,650nuke

1,370train

862vertigo

185office

158aztec

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

Faceit stats

Combat

612Matches

52%Win rate

1.09Avg K/D

83.7ADR

35%Headshot %

Clutches & streaks

36%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	29	55%	1.21	18.5
Dust2	25	52%	1.05	16.0
Ancient	19	47%	1.17	19.1
Inferno	13	62%	1.25	17.2
Nuke	11	45%	0.98	14.0
Anubis	8	25%	1.07	17.1
Overpass	6	17%	1.28	17.3
Train	3	33%	1.00	19.3

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.

14.7%Headshot accuracy

34.7%Accuracy (enemy spotted)

43.3%Spray accuracy

73.7%Counter-strafing

12.1°Preaim

572msReaction time

50.9%T opening success

54.5%CT opening success

0.46Enemies flashed / flash

8.5%Flash assists

9.11HE damage / grenade

7.47Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0872° — above the 12° mark we flag
Aim Training →
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 14.7408% — 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 0.4636 — below the 0.5 mark we flag
Grenade Lineups →

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.

33% win rate across 9 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	8–13	-0.04	17%	28 Oct →
anubis	13–11	-0.01	12%	28 Oct →
ancient	13–7	0.10	17%	28 Oct →
dust2	15–15	-0.03	18%	26 Oct →
mirage	9–13	0.02	9%	26 Oct →
anubis	6–13	0.01	9%	25 Oct →
anubis	8–13	0.02	8%	25 Oct →
cache	9–13	-0.07	13%	25 Oct →
ancient	13–4	0.05	28%	23 Oct →
dust2	13–11	0.04	11%	23 Oct →
mirage	4–13	0.01	24%	23 Oct →
cache	13–9	0.05	10%	23 Oct →
dust2	13–7	0.14	14%	19 Oct →
cache	13–10	0.03	13%	19 Oct →
inferno	16–14	0.02	16%	19 Oct →
dust2	13–7	0.06	12%	14 Oct →
dust2	13–6	0.11	19%	14 Oct →
mirage	13–4	0.10	18%	14 Oct →
mirage	9–13	-0.00	20%	13 Oct →
cache	13–5	-0.04	22%	13 Oct →
anubis	4–13	-0.01	14%	13 Oct →
dust2	2–13	-0.02	12%	8 Oct →
anubis	14–16	-0.01	10%	8 Oct →
cache	13–4	-0.03	11%	8 Oct →
anubis	13–5	-0.04	10%	2 Oct →
ancient	13–7	0.02	11%	2 Oct →
cache	0–5	0.01	22%	2 Oct →
inferno	13–3	-0.01	20%	2 Oct →
inferno	13–10	0.04	23%	28 Sept →
dust2	15–15	-0.03	10%	28 Sept →
dust2	13–9	-0.01	13%	28 Sept →
ancient	7–13	-0.06	15%	28 Sept →
dust2	3–13	-0.02	28%	28 Sept →
cache	16–14	0.01	13%	25 Sept →
inferno	10–13	-0.02	31%	25 Sept →
ancient	4–13	0.02	15%	25 Sept →
inferno	16–13	0.03	12%	23 Sept →
nuke	5–13	-0.04	13%	23 Sept →
dust2	13–10	0.00	22%	23 Sept →
cache	13–1	0.03	9%	23 Sept →
nuke	5–13	-0.04	18%	23 Sept →
cache	13–4	0.06	18%	23 Sept →
inferno	7–13	0.04	23%	22 Sept →
dust2	6–13	0.03	17%	22 Sept →
cache	16–14	0.05	12%	22 Sept →
dust2	13–10	0.04	16%	21 Sept →
mirage	13–2	0.16	35%	21 Sept →
inferno	1–13	-0.03	20%	21 Sept →
cache	13–6	0.08	34%	20 Sept →
ancient	13–6	0.02	30%	20 Sept →
dust2	13–9	-0.03	29%	16 Sept →
ancient	13–3	0.06	11%	16 Sept →
inferno	13–1	0.13	48%	16 Sept →
mirage	13–6	0.05	7%	16 Sept →
ancient	13–2	0.10	20%	7 Sept →
dust2	7–13	0.00	21%	7 Sept →
anubis	5–13	0.01	13%	7 Sept →
dust2	7–13	0.00	10%	6 Sept →
inferno	7–13	-0.02	13%	6 Sept →
ancient	11–13	0.01	14%	6 Sept →
mirage	9–13	-0.00	17%	6 Sept →
cache	13–9	0.06	27%	6 Sept →
dust2	13–6	-0.01	22%	1 Sept →
inferno	7–13	0.02	12%	1 Sept →
cache	13–2	0.13	27%	1 Sept →
cache	14–16	0.01	9%	26 Aug →
dust2	6–13	0.01	12%	26 Aug →
cache	13–7	0.07	11%	26 Aug →
dust2	13–5	-0.08	16%	25 Aug →
inferno	13–10	0.03	24%	25 Aug →
mirage	7–13	-0.03	19%	25 Aug →
cache	10–13	-0.03	24%	25 Aug →
inferno	9–13	-0.02	6%	24 Aug →
mirage	6–13	0.03	9%	24 Aug →
dust2	1–13	-0.07	21%	24 Aug →
inferno	13–9	-0.01	8%	19 Aug →
ancient	13–11	0.04	11%	19 Aug →
cache	13–9	-0.02	19%	19 Aug →
dust2	7–13	0.00	13%	19 Aug →
anubis	13–10	-0.00	10%	18 Aug →
dust2	9–13	-0.02	15%	18 Aug →
cache	11–13	0.01	9%	18 Aug →
ancient	15–15	0.01	17%	17 Aug →
cache	11–13	0.04	21%	17 Aug →
dust2	7–13	-0.02	29%	17 Aug →
ancient	7–13	0.02	16%	16 Aug →
cache	13–10	0.11	19%	16 Aug →
dust2	13–10	0.06	19%	16 Aug →
anubis	11–13	-0.00	20%	16 Aug →
cache	13–8	0.02	25%	15 Aug →
inferno	13–7	0.05	16%	15 Aug →
dust2	3–13	-0.08	10%	15 Aug →
mirage	3–13	0.03	22%	15 Aug →
cache	10–13	0.01	9%	14 Aug →
ancient	11–13	-0.04	28%	14 Aug →
cache	13–1	0.07	9%	3 Aug →
mirage	13–11	0.01	12%	3 Aug →
ancient	13–11	0.04	10%	3 Aug →
inferno	15–15	0.06	17%	1 Aug →
nuke	11–13	0.05	20%	1 Aug →