ZYWOO — CS2 Stats

76561198413899642[U:1:453633914]

463Tracked matches54%Win rate2023Tracked since

690Hours in CS6Hrs last 2 wks

CSDB Rating4.2 DevelopingHybrid Rifler

Premier CS Rating12,026Blue band · top ~44.2% of ranked players (population est.)

CSDB Leaderboard#33219 of 48501 tracked

WingmanGold Nova III

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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	46.3%	41.4%	44.2%	above
Shot accuracy	1.1%	9.0%	11.6%	10.4% short
Kill/death ratio	1.03	0.97	1.03	meets
Match win rate	42.9%	43.7%	45.2%	2.3% short

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

Aim63

Positioning41

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLLWLWLWWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression5.4

Utility3.9

Positioning4.1

Opening Duels1.2

Effective flashesLimited 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.

Your pro match

Plays most like NiKo 81% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3

Positioning4.1

Utility3.9

Mechanics2.6

Opening Duels1.4

Win Impact6.3

Composite 4.2/10 (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 rating-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time511ms−68ms

first ⅓ avg 579ms → last ⅓ avg 511ms

Headshot accuracy13.3%−4.5%

first ⅓ avg 17.8% → last ⅓ avg 13.3%

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.

Highlights

0.15Best rating — inferno 11–0

13–0Biggest win — dust2

5Longest win streak

L2Current streak

8–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 70% over 10mirageWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	23	15–8	65%	-0.01
mirage	D	21	7–14	33%	-0.02
inferno	B	20	9–11	45%	0.00
ancient	B	15	7–8	47%	0.00
cache	S	10	7–3	70%	0.02
anubis	A	5	3–2	60%	0.02
nuke	A	5	3–2	60%	0.05
debris	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,227Lifetime kills

1.03K/D · Top 50% of Blue band

967Matches

42.9%Match win rate

46.3%Headshot % · Top 50% of Blue band

1.1%Shot accuracy

1,944MVPs

338Hours (in match)

943Bombs planted

205Bombs defused

Most-used weapons

AK-474,075

M4A4 / M4A1-S3,436

AWP1,424

SSG 08685

P2000 / USP-S668

Galil AR590

MP9585

Glock-18515

MAC-10501

FAMAS353

Lifetime map wins

2,348dust2

1,308inferno

580nuke

236train

120vertigo

8cbble

4office

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.

14.1%Headshot accuracy

37.8%Accuracy (enemy spotted)

38.5%Spray accuracy

61.7%Counter-strafing

10.4°Preaim

512msReaction time

28.4%T opening success

41.5%CT opening success

0.71Enemies flashed / flash

3.3%Flash assists

9.48HE damage / grenade

3.39Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.1145% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.392 — below the 4 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 28.3971% — below the 40% mark we flag

Spend your practice time on Mirage

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 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	10–13	0.01	14%	30 Aug →
mirage	9–13	-0.06	12%	30 Aug →
dust2	13–10	0.01	22%	29 Aug →
mirage	9–13	-0.00	19%	23 Aug →
dust2	13–7	-0.03	9%	23 Aug →
inferno	3–7	-0.02	8%	22 Aug →
mirage	7–0	-0.09	14%	22 Aug →
cache	13–8	0.02	19%	16 Aug →
inferno	13–9	-0.04	13%	16 Aug →
dust2	7–13	-0.07	9%	16 Aug →
ancient	13–7	-0.04	16%	16 Aug →
mirage	10–13	0.03	16%	16 Aug →
inferno	5–9	-0.04	12%	16 Aug →
dust2	13–7	-0.01	8%	15 Aug →
ancient	13–3	-0.00	4%	15 Aug →
anubis	13–5	0.02	13%	15 Aug →
mirage	13–5	-0.04	16%	15 Aug →
inferno	12–12	-0.01	13%	15 Aug →
nuke	12–12	-0.01	17%	13 Aug →
mirage	12–16	-0.05	17%	10 Aug →
inferno	8–13	-0.02	12%	10 Aug →
cache	6–13	-0.08	14%	10 Aug →
debris	8–8	0.07	10%	10 Aug →
mirage	12–12	0.04	21%	10 Aug →
ancient	0–8	0.02	3%	9 Aug →
ancient	1–13	-0.04	17%	9 Aug →
dust2	13–7	-0.04	7%	9 Aug →
nuke	13–11	0.09	18%	2 Aug →
dust2	3–13	-0.10	12%	2 Aug →
ancient	12–12	-0.01	18%	2 Aug →
mirage	13–2	0.01	11%	1 Aug →
mirage	13–5	-0.01	14%	1 Aug →
nuke	7–3	0.00	14%	29 Jul →
ancient	10–13	-0.04	20%	29 Jul →
dust2	5–13	-0.04	24%	29 Jul →
ancient	13–7	0.05	25%	29 Jul →
cache	9–3	0.10	17%	27 Jul →
mirage	11–13	-0.03	6%	27 Jul →
ancient	13–7	-0.01	20%	26 Jul →
dust2	13–4	-0.00	11%	26 Jul →
mirage	13–2	0.01	12%	26 Jul →
cache	13–11	0.04	16%	26 Jul →
mirage	6–13	0.01	10%	26 Jul →
dust2	1–9	-0.06	10%	26 Jul →
inferno	11–13	-0.02	26%	25 Jul →
cache	13–10	-0.04	20%	24 Jul →
dust2	13–0	0.10	24%	24 Jul →
anubis	13–4	0.10	16%	23 Jul →
anubis	8–13	0.05	39%	23 Jul →
dust2	13–3	-0.01	22%	23 Jul →
ancient	8–13	0.12	19%	22 Jul →
ancient	13–5	0.00	14%	22 Jul →
dust2	13–8	0.06	23%	22 Jul →
anubis	10–13	-0.06	10%	22 Jul →
ancient	13–2	0.02	7%	22 Jul →
ancient	9–13	-0.04	29%	22 Jul →
nuke	12–12	0.07	15%	22 Jul →
dust2	13–10	-0.00	16%	22 Jul →
inferno	7–13	-0.01	15%	21 Jul →
ancient	9–13	-0.04	11%	21 Jul →
anubis	13–8	0.01	11%	21 Jul →
inferno	9–13	0.03	13%	21 Jul →
inferno	13–8	0.01	19%	20 Jul →
dust2	13–9	0.03	16%	19 Jul →
mirage	13–11	-0.06	20%	7 Jul →
cache	13–2	0.04	15%	7 Jul →
cache	13–9	0.05	14%	6 Jul →
mirage	1–6	-0.07	0%	6 Jul →
mirage	9–13	-0.06	8%	3 Jul →
dust2	13–5	0.01	13%	3 Jul →
cache	12–12	0.06	14%	3 Jul →
dust2	13–6	0.04	20%	3 Jul →
mirage	14–16	-0.04	34%	30 Jun →
dust2	13–11	-0.02	17%	29 Jun →
mirage	13–11	0.09	22%	28 Jun →
dust2	5–13	-0.04	5%	28 Jun →
inferno	13–7	0.02	15%	28 Jun →
dust2	6–13	-0.04	19%	28 Jun →
mirage	1–13	-0.07	13%	28 Jun →
dust2	6–2	-0.04	18%	28 Jun →
dust2	2–13	0.03	17%	27 Jun →
inferno	8–13	-0.03	36%	27 Jun →
inferno	4–4	0.01	29%	26 Jun →
cache	13–10	-0.04	20%	26 Jun →
mirage	6–13	-0.01	22%	26 Jun →
inferno	4–9	-0.09	42%	26 Jun →
ancient	13–11	0.07	24%	25 Jun →
ancient	11–13	-0.05	13%	24 Jun →
dust2	11–13	0.02	17%	24 Jun →
dust2	13–11	-0.04	16%	22 Jun →
mirage	11–13	0.01	10%	21 Jun →
inferno	9–13	0.02	19%	21 Jun →
inferno	13–8	0.10	8%	21 Jun →
mirage	11–13	0.00	26%	21 Jun →
nuke	13–6	0.12	10%	21 Jun →
inferno	11–0	0.15	29%	21 Jun →
inferno	13–8	0.01	7%	21 Jun →
inferno	13–7	-0.03	23%	20 Jun →
inferno	13–4	0.02	13%	17 Jun →
inferno	11–13	0.03	13%	17 Jun →