𝔎𝔒𝔍𝔒💘 — CS2 Stats

76561199131113562[U:1:1170847834]Steam profile ↗✓ No bans

1,375Tracked matches41%Win rate2021Tracked since

1,499Hours in CS

CSDB Rating5.7 SolidPositional Player

Premier CS Rating13,639Blue band · top ~35.6% of ranked players (population est.)

CSDB Leaderboard#155997 of 251784 tracked

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (4 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: 13,639 -1,251 6 Sept – 11 Oct · 17 days played

17,257Peak Premier in tracked matches

17Days played since 2026-09-06

Premier CS Rating

2,957 below peak (16,596)
-1,481 over 30 days · declining
Next: Purple band at 15,000 — 1,361 to go
Reached: 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.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	87	—	—
Win rate	44%	—	—
K/D	0.80	—	—
Headshot %	38%	—	—

Measured 17 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	42.2%	42.0%	44.3%	2.2% short
Shot accuracy	14.5%	9.6%	11.9%	above
Kill/death ratio	0.83	0.98	1.03	0.20 short
Match win rate	44.1%	43.8%	45.2%	1.1% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim87

Positioning62

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWLWLLWWWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +5.9pp 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 -0.02
Avg headshot accuracy 30%
Avg reaction 541ms

Last 10

5–5 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 28%
Avg reaction 539ms

Last 20

10–9–1 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 25%
Avg reaction 517ms

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 (+2.8 against its own average).

Aim8.7

Utility3.3

Positioning6.2

Opening Duels4.0

Clutch0.0

Sharp aimerStrong 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 donk 87% playstyle similarity

Most alike: aim profile, positioning profile.

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

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.7

Positioning6.2

Utility3.3

Mechanics5.5

Opening Duels6.6

Win Impact2.1

Composite 5.7/10 (Solid), 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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time489ms−54ms

first ⅓ avg 544ms → last ⅓ avg 489ms

Headshot accuracy21.8%+3.3%

first ⅓ avg 18.5% → last ⅓ avg 21.8%

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

0.07Best match rating · 13–2 · cache, 16 Sept →

45%Best headshot accuracy · 0–13 · dust2, 11 Oct →

391msFastest reaction time · 13–11 · mirage, 4 Oct →

13–0Biggest win · cache, 5 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 64% over 11infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	13–13	50%	-0.02
nuke	B	22	10–12	45%	-0.01
dust2	C	16	7–9	44%	-0.03
ancient	D	11	3–8	27%	-0.04
cache	A	11	7–4	64%	-0.00
anubis	A	8	5–3	63%	0.00
inferno	D	5	1–4	20%	-0.04
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,206Lifetime kills

0.83K/D

4,315Matches

44.1%Match win rate · Top 50% of Blue band

42.2%Headshot % · Top 50% of Blue band

14.5%Shot accuracy · Top 25% of Blue band

9,466MVPs

1,499Hours (in match)

4,324Bombs planted

939Bombs defused

Most-used weapons

AK-4715,204

AWP11,649

M4A4 / M4A1-S7,299

Desert Eagle5,630

P2000 / USP-S4,229

Glock-183,260

MP91,841

SSG 081,742

Galil AR1,625

Knife1,432

Lifetime map wins

11,285vertigo

4,557nuke

3,407train

1,862inferno

1,641dust2

85office

80cbble

67lake

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

Faceit stats

Combat

8Matches

38%Win rate

0.54Avg K/D

66.3ADR

35%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1	100%	0.84	16.0
Anubis	1	0%	0.61	11.0

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.

22.9%Headshot accuracy

36.1%Accuracy (enemy spotted)

43.2%Spray accuracy

74.7%Counter-strafing

7.9°Preaim

507msReaction time

55.9%T opening success

57.3%CT opening success

0.35Enemies flashed / flash

3.1%Flash assists

6.44HE damage / grenade

7.14Flashes / 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.

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 0.3498 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–3	0.00	16%	11 Oct →
dust2	0–13	-0.01	45%	11 Oct →
nuke	13–4	0.03	20%	11 Oct →
nuke	11–13	-0.09	28%	11 Oct →
dust2	3–13	-0.02	43%	11 Oct →
nuke	13–10	-0.00	21%	10 Oct →
dust2	9–2	-0.05	44%	10 Oct →
anubis	13–3	0.01	8%	10 Oct →
inferno	4–13	-0.07	25%	10 Oct →
mirage	11–13	0.01	25%	10 Oct →
ancient	13–5	-0.01	11%	9 Oct →
mirage	9–13	-0.01	27%	9 Oct →
mirage	15–15	-0.02	21%	9 Oct →
inferno	9–13	-0.01	22%	9 Oct →
dust2	8–13	-0.09	45%	9 Oct →
mirage	13–9	-0.00	30%	9 Oct →
mirage	11–13	0.01	10%	9 Oct →
nuke	13–11	0.00	11%	9 Oct →
inferno	13–9	-0.04	17%	9 Oct →
anubis	16–12	0.01	23%	5 Oct →
cache	13–0	0.00	13%	5 Oct →
ancient	8–13	-0.06	33%	5 Oct →
ancient	10–13	-0.08	23%	5 Oct →
mirage	13–11	0.01	28%	4 Oct →
inferno	10–13	-0.07	11%	4 Oct →
mirage	1–13	-0.10	26%	4 Oct →
anubis	10–13	-0.04	13%	3 Oct →
dust2	9–13	-0.03	13%	3 Oct →
nuke	3–13	0.00	0%	3 Oct →
anubis	2–13	-0.05	30%	3 Oct →
mirage	3–13	-0.02	13%	3 Oct →
nuke	10–13	-0.03	15%	2 Oct →
mirage	6–13	-0.04	9%	2 Oct →
nuke	10–13	-0.02	14%	2 Oct →
nuke	13–6	-0.11	5%	2 Oct →
dust2	13–10	-0.01	11%	2 Oct →
mirage	1–13	-0.04	21%	1 Oct →
mirage	13–6	-0.03	6%	1 Oct →
dust2	8–13	-0.00	32%	1 Oct →
nuke	13–7	-0.00	18%	1 Oct →
nuke	6–13	-0.02	19%	1 Oct →
dust2	13–9	0.02	17%	1 Oct →
mirage	13–10	-0.01	22%	30 Sept →
nuke	16–13	-0.02	10%	30 Sept →
anubis	13–9	0.01	16%	30 Sept →
vertigo	8–8	-0.01	13%	30 Sept →
dust2	4–13	-0.01	31%	30 Sept →
nuke	10–13	0.06	21%	30 Sept →
nuke	11–13	-0.08	21%	29 Sept →
cache	16–13	-0.04	3%	29 Sept →
mirage	5–13	-0.07	6%	29 Sept →
dust2	13–11	0.01	23%	29 Sept →
mirage	10–13	-0.02	14%	29 Sept →
dust2	13–5	-0.03	7%	29 Sept →
anubis	13–11	0.02	11%	29 Sept →
mirage	5–13	-0.04	14%	29 Sept →
anubis	16–14	0.04	5%	21 Sept →
nuke	9–13	0.05	13%	21 Sept →
ancient	6–13	-0.06	2%	21 Sept →
dust2	13–6	-0.02	17%	21 Sept →
ancient	13–3	0.03	17%	21 Sept →
mirage	13–9	-0.02	24%	21 Sept →
mirage	13–5	0.06	22%	21 Sept →
nuke	1–13	-0.05	23%	20 Sept →
mirage	13–5	0.04	13%	20 Sept →
mirage	13–10	-0.06	10%	20 Sept →
nuke	10–13	0.02	20%	20 Sept →
nuke	11–13	-0.01	9%	20 Sept →
dust2	5–13	-0.08	9%	20 Sept →
mirage	13–8	0.04	15%	20 Sept →
cache	13–4	0.07	18%	20 Sept →
ancient	6–13	-0.08	15%	20 Sept →
ancient	7–13	-0.06	21%	20 Sept →
cache	13–2	-0.03	21%	20 Sept →
mirage	11–13	0.02	11%	18 Sept →
dust2	2–13	-0.14	31%	18 Sept →
nuke	13–6	0.07	26%	18 Sept →
ancient	13–5	-0.00	20%	18 Sept →
nuke	5–13	-0.03	38%	17 Sept →
mirage	13–8	-0.04	14%	17 Sept →
cache	15–15	0.06	21%	17 Sept →
cache	16–14	0.00	9%	17 Sept →
ancient	3–13	-0.08	19%	17 Sept →
anubis	11–13	0.01	15%	17 Sept →
ancient	9–13	-0.03	13%	17 Sept →
cache	9–13	-0.10	4%	16 Sept →
mirage	0–13	-0.10	7%	16 Sept →
nuke	13–11	0.01	16%	16 Sept →
inferno	15–15	0.02	17%	16 Sept →
cache	9–13	-0.05	17%	16 Sept →
cache	6–13	-0.04	25%	16 Sept →
mirage	16–14	-0.04	21%	16 Sept →
mirage	13–9	0.01	20%	16 Sept →
cache	13–2	0.07	29%	16 Sept →
cache	13–9	0.02	18%	7 Sept →
nuke	13–11	-0.01	22%	7 Sept →
nuke	13–10	0.02	32%	7 Sept →
ancient	8–13	-0.04	16%	7 Sept →
dust2	5–13	-0.08	16%	6 Sept →
dust2	5–0	-0.01	25%	6 Sept →