🕸️𝕲𝖍𝖔𝖘𝖙𝖋 — CS2 Stats

UA76561199829674849[U:1:1869409121]Steam profile ↗✓ No bans

437Tracked matches69%Win rate2025Tracked since

1,033Hours in CS14Hrs last 2 wks

CSDB Rating6.2 SolidPositional Player

Premier CS Rating9,278Light Blue band · top ~58.3% of ranked players (population est.)

CSDB Leaderboard#183710 of 252600 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 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: 9,278 -244 5 Aug – 15 Oct · 26 days played

9,522Peak Premier in tracked matches

41Days played since 2026-08-05

Premier CS Rating

244 below peak (9,522)
+2,123 over 30 days · improving
Next: Blue band at 10,000 — 722 to go
Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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	Light Blue band median	Blue band median	vs Blue band
Headshot rate	48.0%	39.9%	42.0%	above
Shot accuracy	0.3%	7.0%	9.6%	9.4% short
Kill/death ratio	1.04	0.92	0.98	above
Match win rate	48.6%	42.3%	43.8%	above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

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

Aim80

Positioning66

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWTWWLWLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · +51ms 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

3–1–1 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 23%
Avg reaction 672ms

Last 10

6–3–1 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 22%
Avg reaction 649ms

Last 20

12–7–1 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 623ms

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).

Aim8.0

Utility4.0

Positioning6.6

Opening Duels4.6

Limited utility dependence

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 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

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. 574ms 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

Aim8.0

Positioning6.6

Utility4.0

Mechanics7.3

Opening Duels5.1

Win Impact10.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time575ms−82ms

first ⅓ avg 657ms → last ⅓ avg 575ms

Headshot accuracy21.3%−2.8%

first ⅓ avg 24.0% → last ⅓ avg 21.3%

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

0.33Best match rating · 9–0 · poseidon, 16 Sept →

51%Best headshot accuracy · 8–8 · vertigo, 2 Sept →

406msFastest reaction time · 13–7 · mirage, 25 Sept →

13–1Biggest win · dust2, 4 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

6–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	38	19–19	50%	0.01
dust2	B	26	12–14	46%	-0.00
vertigo	C	10	4–6	40%	0.06
cache	A	5	3–2	60%	0.04
ancient	A	5	3–2	60%	0.03
inferno	D	5	1–4	20%	0.01
nuke	—	4	2–2	50%	0.01
anubis	—	4	3–1	75%	0.02
poseidon	—	2	1–1	50%	0.25
train	—	1	1–0	100%	0.08

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

18,608Lifetime kills

1.04K/D · Top 25% of Light Blue band

1,178Matches

48.6%Match win rate · Top 10% of Light Blue band

48.0%Headshot % · Top 25% of Light Blue band

0.3%Shot accuracy

4,096MVPs

445Hours (in match)

1,065Bombs planted

215Bombs defused

Most-used weapons

AK-476,080

M4A4 / M4A1-S2,938

AWP2,494

Desert Eagle1,463

P2000 / USP-S1,084

Glock-18916

MP9546

SSG 08543

Galil AR463

MAC-10306

Lifetime map wins

1,540dust2

970nuke

715inferno

435vertigo

100train

56lake

25office

8italy

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.

22.4%Headshot accuracy

33.3%Accuracy (enemy spotted)

38.1%Spray accuracy

82.7%Counter-strafing

8.4°Preaim

574msReaction time

50.7%T opening success

49.9%CT opening success

0.62Enemies flashed / flash

5.0%Flash assists

9.97HE damage / grenade

3.77Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7679 — below the 4 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	13–6	0.05	11%	15 Oct →
mirage	12–12	0.01	23%	14 Oct →
dust2	13–5	0.01	25%	14 Oct →
cache	13–9	-0.03	26%	10 Oct →
dust2	9–13	0.00	32%	10 Oct →
nuke	13–3	0.10	29%	10 Oct →
mirage	0–4	-0.05	0%	9 Oct →
ancient	7–13	-0.02	34%	9 Oct →
mirage	13–11	-0.06	14%	4 Oct →
mirage	13–10	0.02	25%	4 Oct →
dust2	13–1	0.11	22%	4 Oct →
dust2	13–6	0.06	37%	27 Sept →
inferno	13–6	0.03	15%	27 Sept →
mirage	13–3	-0.01	15%	27 Sept →
anubis	11–13	-0.04	20%	26 Sept →
nuke	9–13	-0.03	14%	26 Sept →
nuke	4–4	-0.10	8%	26 Sept →
anubis	13–3	0.03	15%	26 Sept →
cache	3–13	-0.08	22%	26 Sept →
dust2	13–6	0.13	34%	26 Sept →
dust2	13–7	0.01	26%	26 Sept →
inferno	8–13	0.01	24%	25 Sept →
anubis	13–7	0.07	22%	25 Sept →
ancient	13–5	0.08	15%	25 Sept →
mirage	13–7	0.07	23%	25 Sept →
dust2	13–6	0.07	20%	25 Sept →
cache	13–5	0.05	26%	25 Sept →
dust2	13–11	-0.07	12%	25 Sept →
dust2	8–13	0.04	31%	24 Sept →
cache	13–1	0.19	32%	24 Sept →
cache	10–13	0.05	27%	24 Sept →
dust2	9–13	-0.03	11%	24 Sept →
ancient	13–4	0.08	13%	24 Sept →
nuke	13–1	0.09	6%	24 Sept →
mirage	7–13	-0.04	16%	23 Sept →
mirage	6–13	0.00	14%	23 Sept →
ancient	13–11	0.02	39%	22 Sept →
inferno	4–9	0.01	36%	21 Sept →
dust2	13–11	-0.03	19%	20 Sept →
mirage	6–13	-0.07	10%	20 Sept →
dust2	15–15	0.01	23%	20 Sept →
mirage	15–15	0.01	25%	20 Sept →
mirage	13–10	0.07	23%	19 Sept →
mirage	11–13	0.01	13%	19 Sept →
dust2	5–13	-0.06	9%	19 Sept →
mirage	9–13	0.01	13%	17 Sept →
mirage	0–12	-0.04	10%	17 Sept →
poseidon	9–0	0.33	26%	16 Sept →
vertigo	9–3	0.26	28%	16 Sept →
mirage	13–7	0.02	19%	16 Sept →
mirage	13–2	0.07	22%	16 Sept →
dust2	5–8	0.02	15%	15 Sept →
dust2	4–13	-0.06	23%	14 Sept →
vertigo	3–9	0.02	38%	12 Sept →
vertigo	9–13	-0.04	17%	12 Sept →
dust2	2–1	-0.08	0%	12 Sept →
mirage	4–13	-0.02	21%	12 Sept →
mirage	13–2	0.06	21%	12 Sept →
dust2	2–13	-0.04	0%	11 Sept →
dust2	10–13	-0.06	33%	9 Sept →
mirage	13–7	-0.01	29%	9 Sept →
mirage	13–7	0.01	21%	5 Sept →
dust2	10–13	0.04	19%	5 Sept →
mirage	16–12	-0.01	13%	5 Sept →
mirage	13–3	0.04	13%	5 Sept →
anubis	16–12	0.00	12%	4 Sept →
mirage	13–3	-0.02	13%	4 Sept →
dust2	4–13	-0.03	15%	4 Sept →
mirage	13–7	0.04	26%	4 Sept →
mirage	13–8	0.08	19%	4 Sept →
vertigo	7–9	0.13	17%	3 Sept →
vertigo	13–5	0.03	27%	3 Sept →
mirage	13–9	0.15	24%	3 Sept →
inferno	5–9	0.05	9%	2 Sept →
vertigo	8–8	0.07	51%	2 Sept →
mirage	3–7	-0.05	33%	28 Aug →
mirage	6–13	-0.02	15%	25 Aug →
mirage	9–13	0.03	30%	24 Aug →
dust2	8–3	0.06	26%	24 Aug →
mirage	5–13	-0.02	26%	24 Aug →
dust2	13–9	-0.10	20%	22 Aug →
mirage	9–13	0.03	39%	22 Aug →
dust2	13–7	0.01	24%	22 Aug →
dust2	6–13	-0.09	5%	20 Aug →
mirage	4–13	0.00	24%	20 Aug →
mirage	13–3	0.11	31%	20 Aug →
vertigo	1–9	-0.12	27%	15 Aug →
mirage	6–13	-0.22	19%	14 Aug →
mirage	6–13	-0.02	40%	13 Aug →
vertigo	9–7	0.14	16%	12 Aug →
vertigo	8–8	0.05	21%	12 Aug →
dust2	6–13	-0.04	18%	11 Aug →
mirage	13–2	0.16	28%	11 Aug →
vertigo	13–1	0.05	22%	10 Aug →
dust2	2–13	-0.01	25%	10 Aug →
inferno	11–13	-0.03	21%	9 Aug →
ancient	10–13	-0.01	36%	8 Aug →
poseidon	8–8	0.17	21%	7 Aug →
train	13–3	0.08	31%	6 Aug →
mirage	9–13	-0.07	7%	5 Aug →