tar — CS2 Stats

76561198982485699[U:1:1022219971]Steam profile ↗

257Tracked matches24%Win rate2020Tracked since

437Hours in CS1Hrs last 2 wks

CSDB Rating3.9 Learning

WingmanGold Nova III

Ladder ranks via Leetify

Performance scores

Aim54

Positioning45

Utility23

0–100 skill scores via Leetify.

Recent form

COLD37–54–9Last 10037%Win rateLWLLLLLWLW

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

Player DNA

Aim5.4

Aggression7.1

Utility2.3

Positioning4.5

Opening Duels2.6

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 79% 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

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

Reaction time. 644ms 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

Aim5.4

Positioning4.5

Utility2.3

Mechanics5.3

Opening Duels2.6

Win Impact0.0

Composite 3.9/10 (Learning), 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 -0.01 → last ⅓ avg -0.01

Reaction time656ms+1ms

first ⅓ avg 655ms → last ⅓ avg 656ms

Headshot accuracy14.0%+5.7%

first ⅓ avg 8.3% → last ⅓ avg 14.0%

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

0.26Best rating — vertigo 9–1

13–2Biggest win — office

3Longest win streak

2–6In matches decided by ≤2 rounds

Map breakdown

officeBest map · 42% over 50dust2Weakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
office	C	50	21–29	42%	0.02
dust2	D	13	3–10	23%	-0.04
mirage	C	5	2–3	40%	0.04
train	C	5	2–3	40%	-0.00
memento	—	4	0–4	0%	-0.07
overpass	—	3	2–1	67%	-0.02
thera	—	3	1–2	33%	0.01
vertigo	—	2	1–1	50%	0.10
inferno	—	2	1–1	50%	0.03
edin	—	2	1–1	50%	-0.08
assembly	—	2	1–1	50%	-0.10
fachwerk	—	1	0–1	0%	-0.04
sanctum	—	1	1–0	100%	0.04
poseidon	—	1	0–1	0%	-0.06
ancient	—	1	0–1	0%	-0.05
palacio	—	1	0–1	0%	-0.06
brewery	—	1	0–1	0%	-0.00
agency	—	1	0–1	0%	-0.00
nuke	—	1	0–1	0%	-0.21
basalt	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,667Lifetime kills

0.93K/D

1,131Matches

31.3%Match win rate

29.6%Headshot %

14.5%Shot accuracy · Top 50% of tracked players

1,889MVPs

250Hours (in match)

479Bombs planted

97Bombs defused

Most-used weapons

AWP2,000

AK-471,859

M4A4 / M4A1-S1,653

Desert Eagle1,494

SSG 08959

P90890

P2000 / USP-S777

XM1014701

Dual Berettas509

Galil AR481

Lifetime map wins

1,097office

568dust2

398nuke

351train

269inferno

225vertigo

185cbble

89lake

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.

14.0%Headshot accuracy

35.5%Accuracy (enemy spotted)

43.6%Spray accuracy

73.9%Counter-strafing

11.9°Preaim

644msReaction time

35.5%T opening success

44.9%CT opening success

0.29Enemies flashed / flash

3.3%Flash assists

13.15HE damage / grenade

2.26Flashes / 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 14.0377% — below the 15% mark we flag
Aim Training →
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 0.2852 — 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 35.5071% — below the 40% mark we flag

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.

23% win rate across 13 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
office	9–13	-0.01	12%	30 Aug →
office	13–4	-0.04	18%	30 Aug →
office	4–13	-0.01	10%	20 Jul →
office	8–13	-0.04	20%	19 Jul →
fachwerk	7–13	-0.04	20%	18 Jul →
dust2	1–13	-0.08	13%	20 Apr →
office	6–13	0.05	33%	19 Apr →
office	13–9	-0.03	13%	19 Apr →
vertigo	5–13	-0.06	15%	19 Apr →
sanctum	9–7	0.04	15%	5 Apr →
poseidon	4–9	-0.06	17%	5 Apr →
office	3–13	-0.01	16%	22 Feb →
dust2	6–13	-0.07	19%	22 Feb →
dust2	9–13	-0.09	28%	6 Dec →
dust2	12–12	-0.01	17%	5 Dec →
office	10–13	0.03	13%	17 Nov →
office	5–13	-0.02	12%	5 Nov →
overpass	13–8	-0.02	14%	3 Nov →
office	8–13	-0.03	7%	2 Nov →
office	13–2	0.13	11%	1 Nov →
ancient	6–13	-0.05	4%	28 Oct →
office	3–13	-0.07	6%	28 Oct →
office	13–5	0.07	7%	28 Oct →
mirage	5–13	0.02	15%	27 Oct →
inferno	9–2	0.08	12%	22 Oct →
dust2	11–13	-0.02	7%	21 Oct →
office	9–13	0.01	21%	21 Oct →
office	11–13	0.11	12%	18 Oct →
office	13–7	0.03	16%	17 Oct →
palacio	11–13	-0.06	7%	17 Oct →
office	4–13	-0.07	5%	4 Oct →
office	4–13	-0.07	16%	26 Sept →
office	13–9	0.03	11%	8 Sept →
office	4–13	-0.07	0%	7 Sept →
office	13–10	-0.04	15%	12 Aug →
brewery	8–8	-0.00	18%	3 Aug →
office	7–13	-0.01	20%	21 Jul →
office	13–4	-0.00	17%	19 Jul →
office	13–3	0.18	12%	13 Jul →
office	9–13	0.05	20%	13 Jun →
agency	2–13	-0.00	45%	13 Jun →
mirage	8–13	-0.06	12%	6 May →
office	8–13	0.04	9%	27 Apr →
dust2	7–13	-0.04	18%	27 Apr →
office	3–13	0.08	13%	14 Apr →
office	12–12	0.03	13%	12 Apr →
office	13–10	0.04	15%	12 Apr →
office	13–6	0.08	3%	12 Apr →
office	11–13	0.06	6%	9 Apr →
dust2	5–13	-0.07	16%	9 Mar →
office	13–3	0.13	0%	9 Mar →
dust2	1–13	-0.10	7%	1 Mar →
mirage	13–4	0.10	20%	1 Mar →
train	12–12	-0.07	4%	1 Mar →
dust2	13–11	0.03	5%	1 Mar →
edin	4–12	-0.07	19%	26 Feb →
overpass	7–13	0.04	2%	24 Feb →
train	13–5	0.05	5%	11 Feb →
office	7–13	-0.07	15%	8 Jan →
office	9–13	0.07	18%	7 Jan →
office	12–12	0.01	13%	6 Jan →
office	10–13	0.00	23%	1 Jan →
office	1–7	-0.03	14%	15 Dec →
office	4–1	-0.00	25%	15 Dec →
office	13–10	-0.00	8%	15 Dec →
office	13–6	0.13	13%	8 Dec →
mirage	11–13	-0.01	7%	8 Dec →
office	6–13	-0.03	0%	7 Dec →
office	13–6	0.21	10%	26 Nov →
train	6–13	0.04	20%	26 Nov →
office	13–10	-0.01	7%	22 Nov →
nuke	0–4	-0.21	0%	21 Nov →
basalt	13–8	0.13	5%	21 Nov →
train	4–13	-0.02	8%	20 Nov →
office	13–3	0.05	3%	20 Nov →
train	13–6	-0.01	15%	14 Nov →
edin	7–13	-0.09	11%	13 Nov →
thera	0–3	-0.00	0%	7 Nov →
office	13–9	0.05	3%	7 Nov →
dust2	5–13	0.02	8%	1 Oct →
overpass	13–5	-0.08	5%	30 Sept →
office	13–4	0.06	4%	30 Sept →
memento	8–8	-0.20	6%	29 Sept →
inferno	12–12	-0.03	14%	26 Sept →
office	13–9	0.01	25%	25 Sept →
dust2	13–3	0.04	7%	24 Sept →
office	8–13	-0.04	14%	23 Sept →
office	8–13	-0.04	15%	19 Sept →
mirage	13–5	0.14	8%	19 Sept →
dust2	12–12	-0.08	11%	19 Sept →
office	10–13	-0.06	21%	10 Sept →
vertigo	9–1	0.26	11%	25 Jul →
dust2	13–3	0.01	9%	23 Jul →
memento	2–9	-0.04	6%	17 Jul →
assembly	5–9	-0.11	0%	17 Jul →
thera	2–13	-0.04	8%	27 Jun →
memento	8–8	-0.06	2%	27 Jun →
thera	13–10	0.06	5%	27 Jun →
memento	7–9	0.00	10%	27 Jun →
assembly	9–6	-0.09	3%	27 Jun →