duck — CS2 Stats

76561199124968990[U:1:1164703262]✓ No bans

458Tracked matches50%Win rate2025Tracked since

376Hours in CS

CSDB Rating4.6 Developing

Premier CS Rating14,620Blue band · top ~30.4% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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	37.6%	41.7%	44.1%	6.5% short
Shot accuracy	0.8%	8.8%	11.4%	10.7% short
Kill/death ratio	1.03	0.97	1.03	meets
Match win rate	50.0%	43.8%	45.2%	above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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

Aim53

Positioning54

Utility25

0–100 skill scores via Leetify.

Recent form

COLD55–36–9Last 10055%Win rateLTLLLLWWLL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Aim5.3

Aggression8.5

Utility2.5

Positioning5.4

Opening Duels3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like b1t 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

T-side openings. Opening success drops from 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 691ms 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

Aim5.3

Positioning5.4

Utility2.5

Mechanics6.3

Opening Duels3.4

Win Impact5.0

Composite 4.6/10 (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 rating0.02+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time685ms+14ms

first ⅓ avg 671ms → last ⅓ avg 685ms

Headshot accuracy18.7%−0.1%

first ⅓ avg 18.8% → last ⅓ avg 18.7%

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.

Highlights

0.17Best rating — inferno 12–12

13–1Biggest win — nuke

5Longest win streak

6–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 70% over 10nukeWeakest map · 50% over 18

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	40	21–19	53%	0.02
dust2	A	23	14–9	61%	-0.00
nuke	B	18	9–9	50%	0.01
cache	S	10	7–3	70%	0.03
mirage	B	8	4–4	50%	0.01
shelter	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,086Lifetime kills

1.03K/D · Top 50% of Blue band

982Matches

50.0%Match win rate · Top 10% of Blue band

37.6%Headshot %

0.8%Shot accuracy

1,873MVPs

376Hours (in match)

460Bombs planted

214Bombs defused

Most-used weapons

AK-473,985

AWP3,249

M4A4 / M4A1-S2,093

SSG 08758

P2000 / USP-S690

Glock-18613

Desert Eagle500

Galil AR425

P90331

MP7288

Lifetime map wins

3,318dust2

2,083inferno

831nuke

120vertigo

68office

22train

1ar_shoots

1ar_baggage

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.

17.6%Headshot accuracy

32.8%Accuracy (enemy spotted)

34.3%Spray accuracy

78.3%Counter-strafing

9.8°Preaim

691msReaction time

34.1%T opening success

53.0%CT opening success

0.42Enemies flashed / flash

5.7%Flash assists

4.84HE damage / grenade

3.93Flashes / 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 0.4227 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.0771% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	0.02	9%	6 Aug →
nuke	12–12	-0.05	8%	6 Aug →
cache	10–13	0.00	10%	6 Aug →
dust2	11–13	0.01	17%	6 Aug →
nuke	10–13	0.12	20%	5 Aug →
inferno	11–13	-0.01	24%	3 Aug →
nuke	13–7	-0.07	19%	3 Aug →
mirage	13–5	0.04	17%	2 Aug →
dust2	7–13	0.02	44%	2 Aug →
dust2	2–7	0.03	27%	2 Aug →
dust2	13–10	-0.03	12%	2 Aug →
dust2	13–3	-0.01	20%	2 Aug →
dust2	13–7	-0.03	8%	2 Aug →
dust2	13–10	-0.01	27%	31 Jul →
inferno	13–10	0.10	9%	31 Jul →
dust2	9–13	-0.06	22%	30 Jul →
mirage	10–3	-0.00	42%	30 Jul →
nuke	13–4	0.05	17%	30 Jul →
inferno	10–13	0.10	10%	30 Jul →
cache	10–13	0.07	14%	29 Jul →
inferno	13–11	0.02	16%	28 Jul →
nuke	5–13	-0.06	6%	28 Jul →
inferno	13–10	0.07	17%	28 Jul →
inferno	6–13	-0.00	15%	26 Jul →
inferno	13–10	-0.07	17%	26 Jul →
inferno	13–11	0.01	18%	25 Jul →
inferno	12–12	0.00	24%	25 Jul →
inferno	12–12	0.17	20%	24 Jul →
inferno	12–12	0.08	14%	22 Jul →
dust2	3–13	0.01	22%	22 Jul →
dust2	13–7	0.01	29%	22 Jul →
inferno	13–7	0.07	21%	22 Jul →
inferno	9–13	-0.02	24%	21 Jul →
cache	13–4	-0.03	25%	21 Jul →
inferno	8–13	-0.05	12%	21 Jul →
cache	16–13	0.02	15%	19 Jul →
dust2	9–13	-0.04	9%	19 Jul →
cache	9–4	0.05	28%	19 Jul →
inferno	13–3	0.06	23%	19 Jul →
nuke	13–8	-0.01	16%	19 Jul →
nuke	13–1	0.08	32%	19 Jul →
mirage	15–15	0.04	9%	19 Jul →
inferno	9–4	0.14	33%	19 Jul →
inferno	13–7	0.02	35%	18 Jul →
cache	13–8	0.06	13%	17 Jul →
mirage	15–15	0.01	5%	17 Jul →
inferno	13–9	0.04	16%	17 Jul →
nuke	13–10	0.08	14%	16 Jul →
cache	13–9	0.03	12%	16 Jul →
inferno	12–12	-0.02	9%	15 Jul →
cache	13–4	0.09	19%	14 Jul →
dust2	13–6	-0.01	12%	14 Jul →
inferno	13–6	-0.01	30%	13 Jul →
nuke	13–8	0.03	12%	13 Jul →
dust2	12–12	-0.10	12%	13 Jul →
inferno	13–5	0.01	33%	13 Jul →
inferno	13–6	0.08	24%	13 Jul →
cache	13–8	0.05	7%	11 Jul →
inferno	4–13	-0.07	20%	11 Jul →
nuke	7–13	-0.02	8%	11 Jul →
nuke	8–13	0.04	18%	11 Jul →
dust2	14–16	-0.02	16%	11 Jul →
dust2	13–5	0.06	32%	10 Jul →
inferno	13–2	-0.03	38%	10 Jul →
dust2	13–10	0.10	36%	10 Jul →
dust2	13–5	0.05	25%	10 Jul →
inferno	1–13	-0.02	12%	10 Jul →
cache	2–13	-0.05	15%	10 Jul →
mirage	4–13	0.05	17%	10 Jul →
dust2	13–1	0.12	19%	10 Jul →
shelter	8–13	0.04	21%	10 Jul →
dust2	13–5	0.01	33%	9 Jul →
nuke	5–13	-0.04	13%	9 Jul →
inferno	13–6	0.05	7%	9 Jul →
inferno	13–11	0.07	19%	9 Jul →
inferno	5–13	-0.04	25%	8 Jul →
inferno	2–13	-0.07	17%	8 Jul →
nuke	9–13	0.02	14%	8 Jul →
mirage	13–11	0.03	20%	7 Jul →
dust2	13–5	-0.04	27%	7 Jul →
inferno	11–13	-0.05	8%	7 Jul →
nuke	4–13	-0.04	29%	7 Jul →
inferno	6–13	0.03	27%	7 Jul →
nuke	13–11	0.01	20%	7 Jul →
inferno	13–4	0.01	9%	7 Jul →
mirage	7–13	-0.01	10%	6 Jul →
dust2	13–11	-0.08	15%	6 Jul →
nuke	13–8	0.01	18%	6 Jul →
dust2	13–10	-0.06	10%	4 Jul →
nuke	10–13	0.02	11%	4 Jul →
inferno	12–12	-0.03	12%	4 Jul →
inferno	11–13	0.01	24%	2 Jul →
nuke	13–2	0.04	28%	2 Jul →
inferno	13–7	0.02	22%	2 Jul →
inferno	6–5	0.03	39%	2 Jul →
inferno	13–7	0.03	13%	2 Jul →
mirage	13–9	-0.03	13%	1 Jul →
inferno	13–6	0.12	29%	1 Jul →
inferno	13–9	0.00	17%	30 Jun →
inferno	8–13	-0.04	23%	29 Jun →