𝓐𝓭𝓭𝓲𝓴𝓽𝓮𝓭 — CS2 Stats

PL76561198740714771[U:1:780449043]Steam profile ↗✓ No bans

287Tracked matches67%Win rate2026Tracked since

273Hours in CS14Hrs last 2 wks

CSDB Rating8.1 StrongPositional Player

Premier CS Rating21,799Top 50% of 201,197 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#55855 of 248087 tracked

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 21,799 +9,895 26 Jul – 30 Sept · 30 days played

21,799Peak Premier in tracked matches

32Days played since 2026-07-26

Premier CS Rating

At peak — 21,799
+945 over 30 days · improving
Next: Red band at 25,000 — 3,201 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 Pink band among CSDB-tracked players (n=38,294), 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	Pink band median	Red band median	vs Red band
Headshot rate	47.8%	46.9%	49.2%	1.5% short
Shot accuracy	0.2%	13.0%	13.4%	13.1% short
Kill/death ratio	1.06	1.08	1.12	0.06 short
Match win rate	53.4%	46.7%	48.5%	above

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

Widest gap: Shot accuracy. That is the metric furthest from the Red 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

Aim99

Positioning82

Utility44

0–100 skill scores via Leetify.

Recent form

HOT63–36–1Last 10063%Win rateWWWLWWWLWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −5.9pp headshot accuracy · −71ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.14
Avg headshot accuracy 25%
Avg reaction 440ms

Last 10

8–2 · 80% win rate
Avg rating 0.11
Avg headshot accuracy 31%
Avg reaction 430ms

Last 20

13–7 · 65% win rate
Avg rating 0.11
Avg headshot accuracy 34%
Avg reaction 466ms

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 (+1.5 against its own average).

Aim9.9

Utility4.4

Positioning8.2

Opening Duels7.5

Sharp aimerStrong CT-side openerLimited utility dependenceStrong positioning

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 88% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: 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 99 — the mechanical foundation is a clear strength.

CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 70% on CT to 54% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.9

Positioning8.2

Utility4.4

Mechanics6.0

Opening Duels7.9

Win Impact10.0

Composite 8.1/10 (Strong), 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 rating0.11+0.07

first ⅓ avg 0.04 → last ⅓ avg 0.11

Reaction time450ms−116ms

first ⅓ avg 566ms → last ⅓ avg 450ms

Headshot accuracy31.4%+11.4%

first ⅓ avg 20.0% → last ⅓ avg 31.4%

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

0.37Best match rating · 9–0 · inferno, 30 Sept →

67%Best headshot accuracy · 13–1 · mirage, 27 Jul →

297msFastest reaction time · 2–13 · mirage, 20 Aug →

13–1Biggest win · anubis, 11 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W3Current streak

12–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 89% over 9dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	25	16–9	64%	0.07
nuke	S	22	15–7	68%	0.10
anubis	A	19	12–7	63%	0.07
inferno	B	14	7–7	50%	0.09
dust2	D	9	3–6	33%	0.07
ancient	S	9	8–1	89%	0.10
vertigo	—	1	1–0	100%	0.01
cache	—	1	1–0	100%	0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,910Lifetime kills

1.06K/D

337Matches

53.4%Match win rate · Top 10% of Pink band

47.8%Headshot % · Top 50% of Pink band

0.2%Shot accuracy

1,819MVPs

345Hours (in match)

304Bombs planted

416Bombs defused

Most-used weapons

AK-472,844

M4A4 / M4A1-S1,525

AWP1,192

Desert Eagle743

P2000 / USP-S661

Galil AR406

Glock-18301

MP9248

SSG 08221

MAC-10200

Lifetime map wins

765nuke

502inferno

209dust2

12vertigo

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

29.6%Headshot accuracy

49.6%Accuracy (enemy spotted)

46.2%Spray accuracy

77.0%Counter-strafing

7.4°Preaim

444msReaction time

53.5%T opening success

69.7%CT opening success

0.38Enemies flashed / flash

8.8%Flash assists

12.57HE damage / grenade

4.16Flashes / 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 0.3771 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–10	-0.02	19%	30 Sept →
inferno	9–0	0.37	15%	30 Sept →
anubis	13–2	0.17	26%	29 Sept →
dust2	9–13	0.12	43%	29 Sept →
anubis	13–8	0.08	22%	29 Sept →
dust2	13–5	0.11	44%	29 Sept →
ancient	13–3	0.11	20%	28 Sept →
inferno	4–9	0.09	43%	28 Sept →
vertigo	9–7	0.01	39%	28 Sept →
nuke	13–6	0.04	36%	28 Sept →
nuke	9–4	0.13	58%	28 Sept →
nuke	6–9	-0.05	53%	27 Sept →
inferno	6–9	0.08	32%	27 Sept →
nuke	9–3	0.34	12%	27 Sept →
mirage	11–13	0.02	43%	26 Sept →
anubis	11–13	0.16	46%	24 Sept →
inferno	9–1	0.20	10%	24 Sept →
inferno	9–6	0.11	37%	23 Sept →
dust2	14–16	0.02	43%	5 Sept →
dust2	13–11	0.15	32%	5 Sept →
inferno	5–13	-0.08	20%	1 Sept →
mirage	13–11	0.11	14%	30 Aug →
ancient	6–13	0.10	26%	30 Aug →
mirage	13–11	0.14	18%	30 Aug →
nuke	13–10	0.21	24%	29 Aug →
mirage	13–10	0.11	33%	29 Aug →
mirage	13–6	0.12	23%	28 Aug →
nuke	16–12	0.19	28%	27 Aug →
nuke	13–6	0.14	27%	26 Aug →
ancient	13–7	0.13	36%	26 Aug →
dust2	1–13	0.06	52%	24 Aug →
mirage	13–11	0.14	33%	24 Aug →
mirage	8–13	0.15	29%	24 Aug →
anubis	13–6	0.08	14%	24 Aug →
nuke	13–8	0.14	14%	23 Aug →
mirage	13–8	0.14	39%	23 Aug →
inferno	8–13	0.06	39%	23 Aug →
nuke	16–12	0.24	27%	23 Aug →
inferno	1–13	0.02	10%	22 Aug →
mirage	13–9	0.08	23%	22 Aug →
anubis	10–13	0.14	15%	22 Aug →
anubis	13–3	0.07	8%	22 Aug →
mirage	15–15	0.08	18%	22 Aug →
anubis	13–3	0.04	24%	22 Aug →
nuke	8–13	0.06	21%	22 Aug →
ancient	13–5	0.12	32%	21 Aug →
ancient	13–7	0.12	13%	21 Aug →
inferno	13–10	0.14	12%	21 Aug →
anubis	13–8	-0.01	29%	21 Aug →
ancient	13–4	0.04	15%	21 Aug →
anubis	3–1	0.17	19%	21 Aug →
nuke	4–13	0.14	54%	21 Aug →
cache	13–11	0.12	25%	21 Aug →
mirage	2–13	0.00	48%	20 Aug →
nuke	13–8	0.23	23%	20 Aug →
mirage	13–10	0.07	14%	20 Aug →
anubis	7–13	0.05	28%	20 Aug →
nuke	13–2	0.13	11%	20 Aug →
mirage	13–3	0.02	16%	20 Aug →
mirage	13–6	0.11	16%	20 Aug →
ancient	13–5	0.20	15%	19 Aug →
anubis	13–3	0.21	17%	19 Aug →
nuke	13–10	0.06	23%	19 Aug →
mirage	2–13	-0.02	7%	19 Aug →
anubis	4–13	0.05	16%	19 Aug →
nuke	6–13	0.13	12%	19 Aug →
mirage	13–6	0.21	11%	19 Aug →
mirage	13–2	0.14	9%	19 Aug →
anubis	13–6	0.14	18%	18 Aug →
inferno	13–10	0.09	14%	18 Aug →
inferno	9–13	0.10	12%	17 Aug →
mirage	13–11	0.01	8%	16 Aug →
dust2	13–16	0.06	17%	16 Aug →
nuke	8–13	0.07	21%	11 Aug →
anubis	13–1	0.03	17%	11 Aug →
ancient	13–11	0.09	7%	11 Aug →
inferno	13–7	-0.03	9%	11 Aug →
inferno	9–13	0.04	10%	11 Aug →
nuke	13–8	-0.00	10%	9 Aug →
mirage	9–13	-0.07	17%	4 Aug →
ancient	13–2	0.01	8%	4 Aug →
nuke	13–16	-0.01	16%	2 Aug →
mirage	6–13	-0.02	23%	30 Jul →
nuke	3–13	-0.04	18%	29 Jul →
inferno	9–7	0.12	32%	29 Jul →
mirage	11–13	0.14	22%	28 Jul →
mirage	13–6	0.02	22%	28 Jul →
mirage	13–4	0.10	11%	28 Jul →
nuke	13–9	0.07	16%	28 Jul →
nuke	13–2	0.09	52%	28 Jul →
anubis	5–13	0.03	29%	27 Jul →
dust2	13–11	0.06	15%	27 Jul →
mirage	9–13	0.04	23%	27 Jul →
mirage	13–1	0.03	67%	27 Jul →
anubis	5–13	-0.02	11%	27 Jul →
anubis	13–9	0.04	29%	26 Jul →
dust2	3–13	0.02	27%	26 Jul →
dust2	11–13	0.00	23%	26 Jul →
anubis	0–13	-0.02	23%	26 Jul →
nuke	13–11	0.01	24%	26 Jul →