𝔄𝔰𝔱𝔯𝔢𝔞 — CS2 Stats

76561199123655738[U:1:1163390010]Steam profile ↗✓ No bans

876Tracked matches50%Win rate2024Tracked since

1,340Hours in CS43Hrs last 2 wks

CSDB Rating7.0 StrongPositional Player

Premier CS Rating18,036Purple band · top ~16.3% of ranked players (population est.)

CSDB Leaderboard#110142 of 255744 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (9 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: 18,036 +1,422 29 Jul – 11 Oct · 27 days played

21,050Peak Premier in tracked matches

47Days played since 2026-07-28

Premier CS Rating

3,014 below peak (21,050)
-1,216 over 30 days · declining
Next: Pink band at 20,000 — 1,964 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-17
Blue band first seen 2026-09-17

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=14,220), 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	47.5%	45.7%	46.8%	meets
Shot accuracy	0.1%	12.7%	13.0%	12.9% short
Kill/death ratio	0.93	1.05	1.06	0.13 short
Match win rate	44.4%	45.7%	46.3%	1.9% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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

Aim81

Positioning73

Utility49

0–100 skill scores via Leetify.

Recent form

HOT49–47–4Last 10049%Win rateWWWLTWWWWL

Last 10 vs previous 10: +60pp win rate · −0.00 avg rating · +3.7pp headshot accuracy · +41ms reaction

Win rate up 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–1–1 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 21%
Avg reaction 650ms

Last 10

7–2–1 · 70% win rate
Avg rating 0.00
Avg headshot accuracy 23%
Avg reaction 599ms

Last 20

8–11–1 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 578ms

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 (+1.7 against its own average).

Aim8.1

Utility4.9

Positioning7.3

Opening Duels6.3

Clutch3.8

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 569ms 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

Aim8.1

Positioning7.3

Utility4.9

Mechanics7.3

Opening Duels8.2

Win Impact5.0

Composite 7.0/10 (Strong), 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 rating0.02+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time580ms−17ms

first ⅓ avg 597ms → last ⅓ avg 580ms

Headshot accuracy21.0%+0.4%

first ⅓ avg 20.6% → last ⅓ avg 21.0%

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

0.14Best match rating · 6–13 · inferno, 9 Aug →

100%Best headshot accuracy · 13–4 · nuke, 12 Aug →

383msFastest reaction time · 4–13 · ancient, 20 Aug →

13–2Biggest win · nuke, 4 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W3Current streak

10–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 60% over 20anubisWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	20	12–8	60%	0.03
ancient	A	19	11–8	58%	-0.02
nuke	A	19	11–8	58%	0.01
mirage	C	12	5–7	42%	-0.00
cache	C	9	4–5	44%	-0.00
vertigo	D	7	1–6	14%	-0.00
dust2	B	6	3–3	50%	-0.01
anubis	D	5	0–5	0%	0.00
office	—	1	0–1	0%	-0.02
overpass	—	1	1–0	100%	-0.01
train	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,813Lifetime kills

0.93K/D

2,028Matches

44.4%Match win rate

47.5%Headshot % · Top 50% of Level 7 players

0.1%Shot accuracy

4,752MVPs

690Hours (in match)

1,642Bombs planted

474Bombs defused

Most-used weapons

AK-479,035

M4A4 / M4A1-S5,213

AWP3,720

P2000 / USP-S1,916

Glock-181,816

Desert Eagle1,758

MP91,592

MAC-101,262

Galil AR754

MAG-7548

Lifetime map wins

3,101vertigo

2,053inferno

2,010dust2

1,493nuke

577office

151train

79italy

65assault

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

Faceit stats

Combat

206Matches

52%Win rate

1.10Avg K/D

89.6ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

26%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	74	51%	1.09	17.2
Ancient	43	60%	1.17	18.6
Dust2	33	45%	1.07	16.7
Nuke	20	65%	1.14	16.9
Inferno	14	43%	1.05	19.8
Cache	11	64%	1.11	18.2
Anubis	6	33%	0.81	16.3
Vertigo	5	0%	1.10	20.6

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.

22.1%Headshot accuracy

36.3%Accuracy (enemy spotted)

39.8%Spray accuracy

82.8%Counter-strafing

10.0°Preaim

569msReaction time

69.2%T opening success

56.5%CT opening success

0.57Enemies flashed / flash

9.8%Flash assists

10.85HE damage / grenade

10.10Flashes / 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.

0% win rate across 5 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
ancient	13–4	0.03	29%	18 Oct →
nuke	13–6	0.00	26%	15 Oct →
mirage	13–3	0.10	21%	11 Oct →
dust2	1–10	-0.06	14%	11 Oct →
anubis	12–12	0.00	15%	10 Oct →
ancient	13–9	-0.01	44%	9 Oct →
ancient	13–6	-0.02	11%	9 Oct →
mirage	13–10	-0.01	36%	3 Oct →
ancient	13–9	0.03	10%	29 Sept →
nuke	8–13	-0.03	21%	29 Sept →
dust2	4–13	-0.01	26%	27 Sept →
ancient	14–16	-0.03	16%	26 Sept →
vertigo	9–13	0.03	16%	23 Sept →
vertigo	9–13	0.03	29%	23 Sept →
mirage	14–16	0.02	18%	22 Sept →
inferno	22–20	0.06	20%	22 Sept →
vertigo	6–13	-0.03	21%	21 Sept →
office	6–13	-0.02	29%	19 Sept →
mirage	1–13	0.02	15%	17 Sept →
mirage	5–13	-0.04	0%	11 Sept →
nuke	8–13	0.02	27%	9 Sept →
anubis	15–15	0.05	22%	8 Sept →
dust2	13–5	0.10	25%	8 Sept →
inferno	7–13	-0.03	26%	6 Sept →
inferno	6–9	0.01	13%	2 Sept →
mirage	16–14	0.01	19%	1 Sept →
overpass	13–8	-0.01	21%	31 Aug →
nuke	13–11	0.05	23%	31 Aug →
nuke	13–9	0.08	30%	29 Aug →
mirage	8–13	0.01	20%	29 Aug →
inferno	13–10	0.08	15%	29 Aug →
inferno	9–7	0.03	10%	28 Aug →
mirage	6–13	0.01	27%	26 Aug →
inferno	13–7	0.05	23%	22 Aug →
vertigo	4–9	-0.04	40%	22 Aug →
dust2	0–10	-0.08	18%	21 Aug →
ancient	4–13	-0.11	25%	20 Aug →
ancient	13–16	-0.04	21%	20 Aug →
ancient	15–15	-0.05	14%	19 Aug →
inferno	13–9	-0.01	7%	18 Aug →
anubis	5–13	-0.02	23%	18 Aug →
ancient	11–13	0.01	9%	17 Aug →
ancient	13–10	-0.05	12%	17 Aug →
nuke	13–10	0.06	17%	17 Aug →
dust2	13–7	-0.01	24%	15 Aug →
mirage	13–11	-0.06	14%	14 Aug →
nuke	13–8	0.03	33%	14 Aug →
ancient	1–9	-0.10	33%	14 Aug →
inferno	13–8	-0.02	16%	14 Aug →
inferno	13–5	0.10	24%	13 Aug →
dust2	13–9	-0.02	12%	13 Aug →
cache	16–14	0.11	20%	12 Aug →
cache	16–14	0.02	15%	12 Aug →
nuke	13–4	0.01	100%	12 Aug →
inferno	13–7	-0.05	19%	12 Aug →
inferno	6–13	-0.03	17%	12 Aug →
nuke	13–7	0.03	13%	12 Aug →
inferno	3–13	-0.01	32%	11 Aug →
cache	8–13	0.04	13%	11 Aug →
nuke	4–13	-0.05	29%	11 Aug →
inferno	13–10	0.14	24%	11 Aug →
nuke	10–13	0.00	19%	10 Aug →
inferno	6–13	0.14	21%	9 Aug →
ancient	13–10	0.11	26%	9 Aug →
cache	3–13	-0.03	24%	9 Aug →
cache	3–13	-0.00	46%	8 Aug →
inferno	13–11	0.06	39%	8 Aug →
ancient	13–9	0.01	16%	8 Aug →
inferno	13–8	0.00	11%	8 Aug →
nuke	9–13	-0.05	32%	7 Aug →
mirage	9–13	-0.00	23%	7 Aug →
cache	6–13	-0.05	21%	6 Aug →
mirage	2–13	-0.06	17%	6 Aug →
ancient	4–13	-0.04	11%	6 Aug →
nuke	13–9	-0.02	18%	6 Aug →
nuke	7–13	-0.03	19%	6 Aug →
cache	13–6	-0.06	17%	6 Aug →
ancient	4–13	-0.06	14%	6 Aug →
inferno	9–13	0.00	25%	5 Aug →
mirage	13–10	-0.02	25%	5 Aug →
nuke	13–11	0.03	20%	5 Aug →
vertigo	5–13	-0.04	18%	4 Aug →
vertigo	8–13	0.00	39%	4 Aug →
inferno	8–13	-0.04	6%	4 Aug →
nuke	13–2	0.01	24%	4 Aug →
ancient	16–14	-0.01	20%	4 Aug →
nuke	4–13	-0.04	19%	4 Aug →
train	13–2	0.02	22%	4 Aug →
cache	13–6	0.02	17%	3 Aug →
nuke	13–9	0.05	19%	3 Aug →
cache	9–13	-0.06	8%	1 Aug →
vertigo	10–2	0.01	44%	30 Jul →
nuke	11–13	0.04	18%	30 Jul →
inferno	11–13	-0.03	13%	30 Jul →
anubis	8–13	-0.05	26%	30 Jul →
anubis	15–15	0.02	17%	29 Jul →
ancient	13–6	0.03	30%	29 Jul →
inferno	13–6	0.05	32%	29 Jul →
ancient	13–9	-0.02	22%	28 Jul →
ancient	13–5	0.04	17%	28 Jul →