CSGOSKINS watong — CS2 Stats

KY76561198314184904[U:1:353919176]Steam profile ↗✓ No bans

404Tracked matches59%Win rate2023Tracked since

777Hours in CS2Hrs last 2 wks

CSDB Rating4.1 Developing

Ladder ranks via Leetify

Performance scores

Aim34

Positioning39

Utility65

0–100 skill scores via Leetify.

Recent form

COLD39–48–13Last 10039%Win rateLLLTWLLWLT

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

Player DNA

Aim3.4

Aggression4.5

Utility6.5

Positioning3.9

Opening Duels0.8

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 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Reaction time. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.4

Positioning3.9

Utility6.5

Mechanics3.2

Opening Duels0.8

Win Impact8.1

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time625ms−72ms

first ⅓ avg 697ms → last ⅓ avg 625ms

Headshot accuracy13.8%−0.3%

first ⅓ avg 14.1% → last ⅓ avg 13.8%

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.

Highlights

0.16Best rating — ancient 13–5

13–0Biggest win — vertigo

4Longest win streak

L3Current streak

3–4In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 58% over 12overpassWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	10–12	45%	-0.01
vertigo	C	17	6–11	35%	-0.02
overpass	D	14	4–10	29%	-0.02
anubis	D	13	4–9	31%	-0.01
cache	A	12	7–5	58%	-0.02
train	C	11	4–7	36%	-0.01
ancient	B	6	3–3	50%	0.03
office	—	4	1–3	25%	0.01
mirage	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,303Lifetime kills

0.90K/D

1,436Matches

32.6%Match win rate

40.5%Headshot %

6.7%Shot accuracy

1,831MVPs

421Hours (in match)

1,114Bombs planted

198Bombs defused

Most-used weapons

AK-475,241

M4A4 / M4A1-S4,233

AWP1,378

P901,279

Desert Eagle1,229

P2000 / USP-S1,222

MP91,115

MP7864

Glock-18854

Galil AR781

Lifetime map wins

4,434dust2

567vertigo

406nuke

312office

281inferno

277italy

213train

9ar_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.

13.7%Headshot accuracy

30.6%Accuracy (enemy spotted)

29.2%Spray accuracy

64.3%Counter-strafing

10.5°Preaim

626msReaction time

32.6%T opening success

33.5%CT opening success

0.60Enemies flashed / flash

3.1%Flash assists

7.20HE damage / grenade

13.77Flashes / 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.

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 13.7003% — below the 15% mark we flag
Aim Training →
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 32.5828% — below the 40% mark we flag

Spend your practice time on Overpass

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	7–13	0.03	11%	12 Aug →
cache	1–7	0.03	36%	7 Aug →
dust2	9–13	0.05	14%	7 Aug →
ancient	12–12	-0.04	8%	7 Aug →
cache	10–1	-0.06	25%	5 Aug →
vertigo	3–8	-0.02	11%	5 Aug →
dust2	8–13	-0.01	12%	30 Jul →
vertigo	13–0	0.01	20%	30 Jul →
vertigo	10–13	-0.03	12%	30 Jul →
vertigo	12–12	-0.00	11%	29 Jul →
vertigo	13–2	-0.01	8%	29 Jul →
anubis	13–10	-0.03	10%	22 Jul →
anubis	5–13	-0.09	9%	22 Jul →
dust2	11–13	-0.05	21%	18 Jul →
cache	13–6	-0.02	10%	17 Jul →
cache	13–8	0.01	21%	16 Jul →
vertigo	12–12	0.02	20%	16 Jul →
ancient	13–7	0.00	14%	15 Jul →
overpass	13–5	0.04	8%	8 Jul →
dust2	13–7	-0.03	14%	8 Jul →
dust2	13–8	-0.04	15%	3 Jul →
cache	2–13	-0.04	8%	2 Jul →
ancient	3–13	-0.02	9%	24 Jun →
train	13–9	0.02	16%	20 Jun →
ancient	13–9	0.04	16%	19 Jun →
train	13–7	-0.05	20%	17 Jun →
cache	13–4	-0.02	18%	13 Jun →
vertigo	9–13	0.01	13%	13 Jun →
vertigo	13–4	0.05	7%	6 Jun →
vertigo	13–4	-0.03	6%	6 Jun →
vertigo	4–13	-0.13	5%	6 Jun →
dust2	12–12	0.04	14%	27 May →
anubis	5–13	-0.02	11%	27 May →
anubis	3–13	-0.04	11%	27 May →
overpass	13–7	-0.03	10%	20 May →
dust2	13–6	0.07	12%	20 May →
dust2	3–13	-0.06	19%	13 May →
office	2–13	0.07	17%	13 May →
overpass	1–13	-0.00	24%	13 May →
cache	3–13	-0.04	16%	13 May →
cache	13–8	0.00	22%	9 May →
cache	7–13	-0.03	6%	6 May →
cache	13–10	-0.03	10%	6 May →
cache	13–9	-0.03	16%	30 Apr →
ancient	13–5	0.16	11%	30 Apr →
cache	5–13	-0.01	17%	29 Apr →
train	13–4	0.06	23%	25 Apr →
train	12–12	0.00	8%	25 Apr →
train	4–13	0.04	4%	25 Apr →
anubis	9–13	-0.02	15%	3 Apr →
anubis	11–13	0.00	15%	1 Apr →
anubis	8–13	-0.07	16%	1 Apr →
overpass	4–13	-0.11	8%	26 Mar →
dust2	4–13	-0.07	22%	26 Mar →
train	12–12	-0.01	8%	26 Feb →
train	9–13	-0.01	17%	26 Feb →
dust2	13–2	0.02	8%	24 Dec →
dust2	13–3	0.03	11%	24 Dec →
overpass	11–13	0.04	20%	24 Dec →
vertigo	13–11	0.00	11%	17 Dec →
vertigo	10–13	0.11	10%	17 Dec →
overpass	6–13	-0.05	9%	26 Nov →
office	6–13	-0.01	10%	26 Nov →
office	13–7	-0.00	11%	26 Nov →
overpass	12–12	0.05	15%	12 Nov →
overpass	2–13	-0.07	13%	12 Nov →
dust2	13–7	0.05	12%	9 Nov →
dust2	7–13	-0.04	18%	4 Nov →
overpass	8–13	-0.05	15%	1 Nov →
ancient	12–12	0.02	9%	1 Nov →
dust2	8–13	-0.02	23%	1 Nov →
dust2	12–12	0.08	13%	24 Oct →
dust2	12–12	-0.05	12%	24 Oct →
vertigo	12–12	-0.01	14%	24 Oct →
vertigo	3–13	-0.08	25%	22 Oct →
dust2	13–11	-0.07	9%	18 Oct →
anubis	6–13	-0.06	10%	18 Oct →
anubis	12–12	0.03	14%	15 Oct →
anubis	13–3	0.03	25%	15 Oct →
overpass	13–11	0.00	12%	11 Oct →
vertigo	6–13	-0.10	12%	11 Oct →
office	7–13	-0.01	14%	1 Oct →
overpass	13–8	0.03	22%	25 Sept →
overpass	12–12	-0.05	10%	25 Sept →
overpass	8–13	0.01	16%	24 Sept →
dust2	13–9	0.01	7%	10 Sept →
train	3–13	-0.08	17%	10 Sept →
train	9–13	-0.04	16%	10 Sept →
train	13–8	-0.02	15%	10 Sept →
vertigo	3–13	-0.01	3%	6 Sept →
anubis	13–3	0.09	12%	20 Aug →
anubis	8–13	0.04	16%	20 Aug →
anubis	13–9	0.00	8%	20 Aug →
mirage	11–13	-0.02	23%	6 Aug →
vertigo	13–7	-0.07	6%	6 Aug →
overpass	2–13	-0.05	11%	9 Jul →
dust2	4–13	-0.07	16%	9 Jul →
dust2	13–8	0.02	13%	9 Jul →
dust2	13–9	0.02	10%	9 Jul →
dust2	5–13	-0.12	20%	9 Jul →