♛𝕮𝖍𝖗𝖎𝖘𝖘♛ — CS2 Stats

LV76561199438644229[U:1:1478378501]Steam profile ↗✓ No bans

853Tracked matches37%Win rate2023Tracked since

1,215Hours in CS

CSDB Rating4.9 DevelopingPositional Player

Premier CS Rating10,680Blue band · top ~51.3% of ranked players (population est.)

CSDB Leaderboard#180999 of 258294 tracked

FaceitLevel 4 · 1,059 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+680Premier CS Rating · 10,000 → 10,680

Rating over time

Premier CS Rating: 10,680 -1,759 3 Oct – 28 Oct · 25 days played

14,089Peak Premier in tracked matches

1,059Highest Faceit ELO seen on CSDB

25Days played since 2026-10-03

Faceit ELO

At peak — 1,059
Next: Level 6 at 1,201 — 142 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

3,053 below peak (13,733)
-1,759 over 30 days · declining
Next: Purple band at 15,000 — 4,320 to go
Reached: 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 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	46.6%	42.7%	43.8%	above
Shot accuracy	2.8%	11.2%	12.0%	9.2% short
Kill/death ratio	0.96	0.99	1.02	0.06 short
Match win rate	46.4%	43.9%	44.7%	above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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

Aim55

Positioning67

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateWWWLLWWLWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −0.1pp headshot accuracy · −31ms reaction

Win rate up 30pp 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

3–2 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 641ms

Last 10

6–4 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 589ms

Last 20

9–11 · 45% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 605ms

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 (+1.3 against its own average).

Aim5.5

Utility5.3

Positioning6.7

Opening Duels6.3

Clutch3.4

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 s1mple 75% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.5

Positioning6.7

Utility5.3

Mechanics4.3

Opening Duels7.2

Win Impact0.6

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time589ms−7ms

first ⅓ avg 596ms → last ⅓ avg 589ms

Headshot accuracy20.8%+5.1%

first ⅓ avg 15.7% → last ⅓ avg 20.8%

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

0.15Best match rating · 13–3 · dust2, 23 Oct →

41%Best headshot accuracy · 13–10 · dust2, 26 Oct →

391msFastest reaction time · 4–13 · ancient, 22 Oct →

13–1Biggest win · inferno, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W3Current streak

4–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 56% over 9cacheWeakest map · 8% over 12

Map	Grade	Played	Record	Win rate	Avg rating
anubis	B	24	13–11	54%	0.02
mirage	C	21	8–13	38%	0.01
dust2	C	19	8–11	42%	0.02
cache	D	12	1–11	8%	-0.04
ancient	B	11	5–6	45%	-0.01
inferno	A	9	5–4	56%	-0.00
nuke	—	4	2–2	50%	0.01

Across the last 100 tracked matches.

Lifetime stats

39,204Lifetime kills

0.96K/D

2,401Matches

46.4%Match win rate · Top 50% of Level 4 players

46.6%Headshot % · Top 50% of Level 4 players

2.8%Shot accuracy

4,459MVPs

1,215Hours (in match)

2,235Bombs planted

750Bombs defused

Most-used weapons

AK-4714,409

M4A4 / M4A1-S8,666

AWP5,441

Desert Eagle2,706

P2000 / USP-S2,253

Galil AR1,511

MP91,199

Glock-181,187

MAC-101,139

Knife994

Lifetime map wins

3,352dust2

3,148inferno

1,860nuke

824vertigo

330train

108office

100italy

100aztec

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

Faceit stats

Combat

998Matches

50%Win rate

1.03Avg K/D

73.6ADR

45%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	359	53%	1.07	14.7
Inferno	116	47%	1.01	13.4
Anubis	106	55%	0.97	13.8
Ancient	96	48%	0.95	14.1
Nuke	66	58%	1.09	14.8
Dust2	64	48%	0.99	13.3
Vertigo	39	51%	0.99	14.3
Overpass	20	20%	1.07	15.3

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.

20.9%Headshot accuracy

30.8%Accuracy (enemy spotted)

29.5%Spray accuracy

69.4%Counter-strafing

9.1°Preaim

600msReaction time

56.2%T opening success

61.5%CT opening success

0.54Enemies flashed / flash

4.9%Flash assists

9.55HE damage / grenade

9.21Flashes / match

Recommended for you

Spend your practice time on Cache

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	16–12	0.04	14%	28 Oct →
ancient	13–11	0.03	18%	28 Oct →
dust2	13–9	-0.02	25%	28 Oct →
mirage	11–13	0.01	13%	27 Oct →
dust2	8–13	-0.01	24%	26 Oct →
ancient	13–5	0.01	15%	26 Oct →
dust2	13–10	-0.05	41%	26 Oct →
mirage	9–13	0.01	25%	25 Oct →
dust2	13–8	0.08	20%	25 Oct →
dust2	4–13	0.00	16%	25 Oct →
ancient	11–13	-0.04	15%	25 Oct →
cache	3–13	-0.06	25%	25 Oct →
anubis	6–13	-0.00	13%	24 Oct →
mirage	8–13	0.01	27%	24 Oct →
anubis	13–7	0.03	14%	24 Oct →
mirage	8–13	-0.04	9%	24 Oct →
inferno	13–1	0.05	33%	24 Oct →
nuke	9–13	-0.08	22%	24 Oct →
mirage	10–13	0.05	30%	23 Oct →
ancient	13–7	0.00	24%	23 Oct →
mirage	13–7	0.11	30%	23 Oct →
cache	11–13	-0.00	16%	23 Oct →
mirage	11–13	0.04	28%	23 Oct →
ancient	11–13	0.01	11%	23 Oct →
anubis	6–13	-0.04	13%	23 Oct →
dust2	13–3	0.15	32%	23 Oct →
mirage	2–13	-0.09	27%	23 Oct →
cache	6–13	-0.08	10%	23 Oct →
mirage	5–13	-0.04	19%	22 Oct →
anubis	5–13	0.02	23%	22 Oct →
anubis	13–10	-0.02	29%	22 Oct →
ancient	4–13	-0.03	13%	22 Oct →
cache	7–13	-0.09	10%	22 Oct →
anubis	9–13	-0.00	31%	21 Oct →
ancient	6–13	0.02	13%	21 Oct →
ancient	13–11	-0.01	25%	21 Oct →
anubis	13–4	0.04	27%	21 Oct →
nuke	15–15	0.03	21%	21 Oct →
inferno	6–13	-0.09	20%	20 Oct →
mirage	13–8	-0.05	17%	20 Oct →
anubis	7–13	-0.02	21%	20 Oct →
inferno	13–9	-0.05	10%	19 Oct →
anubis	9–13	-0.04	11%	19 Oct →
dust2	15–15	-0.00	17%	19 Oct →
anubis	11–13	-0.03	23%	19 Oct →
mirage	2–13	0.00	12%	18 Oct →
dust2	13–16	-0.05	9%	18 Oct →
inferno	11–13	0.06	27%	18 Oct →
nuke	13–10	0.04	17%	18 Oct →
cache	13–16	-0.01	18%	18 Oct →
ancient	4–13	-0.05	17%	17 Oct →
mirage	2–13	-0.01	19%	17 Oct →
cache	7–13	0.03	15%	16 Oct →
anubis	13–7	0.09	21%	16 Oct →
mirage	13–10	-0.01	16%	15 Oct →
cache	7–13	-0.07	29%	15 Oct →
cache	8–13	0.00	13%	14 Oct →
anubis	13–4	0.06	27%	14 Oct →
dust2	7–13	0.04	17%	14 Oct →
dust2	16–14	0.01	16%	14 Oct →
inferno	13–16	-0.05	17%	13 Oct →
anubis	13–7	-0.02	19%	13 Oct →
cache	13–9	-0.05	22%	13 Oct →
dust2	13–8	0.05	18%	12 Oct →
mirage	13–6	0.01	14%	12 Oct →
anubis	13–6	0.06	20%	12 Oct →
mirage	10–13	0.07	21%	12 Oct →
inferno	13–10	0.02	16%	12 Oct →
dust2	11–13	-0.01	20%	12 Oct →
anubis	13–10	0.03	15%	11 Oct →
dust2	13–16	-0.07	20%	11 Oct →
dust2	6–13	0.04	17%	11 Oct →
inferno	13–9	0.07	11%	11 Oct →
anubis	9–13	-0.04	23%	11 Oct →
mirage	11–13	-0.01	18%	10 Oct →
anubis	13–7	0.06	15%	10 Oct →
cache	6–13	-0.01	26%	10 Oct →
anubis	13–10	0.01	14%	10 Oct →
mirage	13–11	0.03	20%	10 Oct →
cache	15–15	-0.04	9%	10 Oct →
anubis	13–2	0.05	17%	10 Oct →
anubis	12–16	0.01	17%	9 Oct →
dust2	13–9	0.03	19%	9 Oct →
anubis	9–13	0.00	10%	8 Oct →
anubis	6–13	0.00	13%	7 Oct →
anubis	5–1	0.13	6%	7 Oct →
inferno	13–10	0.01	13%	7 Oct →
dust2	15–15	0.10	10%	7 Oct →
inferno	2–13	-0.04	4%	7 Oct →
mirage	13–6	0.12	16%	7 Oct →
ancient	7–13	-0.03	13%	5 Oct →
mirage	13–10	-0.06	41%	5 Oct →
mirage	13–9	-0.04	16%	5 Oct →
mirage	9–13	0.04	25%	5 Oct →
dust2	13–9	0.02	10%	5 Oct →
dust2	8–13	-0.02	12%	4 Oct →
nuke	13–8	0.04	12%	4 Oct →
cache	5–13	-0.04	7%	3 Oct →
ancient	13–7	0.02	20%	3 Oct →
dust2	9–13	0.01	14%	3 Oct →