Golf-Daddy — CS2 Stats

76561198150363279[U:1:190097551]

260Tracked matches33%Win rate2021Tracked since

1,297Hours in CS1Hrs last 2 wks

CSDB Rating3.8 Learning

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning45

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLLLWWWWWL

Last 10 vs previous 10: +40pp win rate · -0.02 avg rating

Player DNA

Aim5.0

Aggression2.2

Utility3.9

Positioning4.5

Opening Duels0.0

Clutch0.0

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 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 639ms 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

Aim5.0

Positioning4.5

Utility3.9

Mechanics5.1

Opening Duels0.0

Win Impact0.0

Composite 3.8/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time638ms+1ms

first ⅓ avg 637ms → last ⅓ avg 638ms

Headshot accuracy12.4%−2.4%

first ⅓ avg 14.8% → last ⅓ avg 12.4%

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

0.18Best rating — italy 13–4

13–0Biggest win — mirage

7Longest win streak

L4Current streak

8–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

overpassBest map · 71% over 7dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	14	6–8	43%	0.01
mirage	C	12	5–7	42%	0.01
italy	A	11	7–4	64%	0.06
ancient	C	10	4–6	40%	0.01
inferno	B	8	4–4	50%	-0.04
office	B	8	4–4	50%	0.01
overpass	S	7	5–2	71%	-0.01
dust2	D	6	1–5	17%	-0.02
agency	D	6	2–4	33%	-0.00
cache	C	5	2–3	40%	0.04
anubis	—	4	1–3	25%	0.02
alpine	—	2	1–1	50%	-0.00
vertigo	—	2	0–2	0%	-0.01
fachwerk	—	1	1–0	100%	0.05
dogtown	—	1	1–0	100%	0.07
brewery	—	1	0–1	0%	-0.14
jura	—	1	0–1	0%	0.06
train	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,397Lifetime kills

1.17K/D · Top 25% of tracked players

2,575Matches

40.0%Match win rate

33.1%Headshot %

20.2%Shot accuracy · Top 5% of tracked players

4,812MVPs

757Hours (in match)

1,222Bombs planted

463Bombs defused

Most-used weapons

AK-479,866

AWP6,729

M4A4 / M4A1-S5,911

P2000 / USP-S2,745

AUG2,084

Desert Eagle2,052

Glock-181,491

SSG 081,257

Knife1,220

MAG-71,084

Lifetime map wins

2,880nuke

1,571dust2

1,557inferno

1,044train

598vertigo

499office

217lake

145cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

22Matches

73%Win rate

1.06Avg K/D

60.6ADR

34%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	100%	1.12	9.0
Nuke	1	100%	1.08	13.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.7%Headshot accuracy

36.2%Accuracy (enemy spotted)

36.4%Spray accuracy

72.9%Counter-strafing

10.6°Preaim

639msReaction time

18.8%T opening success

27.7%CT opening success

0.42Enemies flashed / flash

2.2%Flash assists

8.38HE damage / grenade

7.83Flashes / 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 11.6669% — 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 0.4157 — 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 18.8286% — 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.

17% win rate across 6 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
nuke	10–13	0.00	19%	28 Aug →
ancient	3–13	-0.00	10%	3 Aug →
nuke	5–13	-0.03	9%	3 Aug →
mirage	5–13	-0.03	9%	3 Aug →
anubis	13–6	0.02	13%	2 Aug →
inferno	13–4	-0.03	9%	2 Aug →
cache	13–4	0.11	10%	2 Aug →
fachwerk	13–11	0.05	12%	31 Jul →
ancient	13–8	0.02	13%	31 Jul →
mirage	8–13	-0.00	13%	20 Jul →
cache	7–13	0.04	7%	19 Jul →
nuke	13–10	0.09	15%	19 Jul →
ancient	6–13	0.01	18%	18 Jul →
ancient	3–13	0.03	14%	8 Jul →
mirage	3–11	0.07	17%	7 Jul →
nuke	8–13	0.08	6%	7 Jul →
cache	10–13	0.00	9%	6 Jul →
office	6–13	-0.05	10%	5 Jul →
cache	2–13	-0.01	10%	5 Jul →
anubis	13–16	0.00	15%	4 Jul →
inferno	6–9	-0.12	27%	4 Jul →
cache	13–6	0.03	10%	14 Jun →
nuke	13–10	0.04	18%	25 Feb →
mirage	5–13	-0.02	14%	25 Feb →
dust2	11–13	-0.03	9%	25 Feb →
italy	0–10	0.02	4%	25 Feb →
italy	13–8	0.09	12%	14 Feb →
alpine	5–13	-0.04	13%	24 Jan →
alpine	13–4	0.04	5%	23 Jan →
office	9–13	0.01	4%	23 Jan →
office	6–13	0.03	21%	22 Jan →
office	13–10	0.10	27%	20 Jan →
italy	13–6	0.09	11%	20 Jan →
mirage	13–0	0.09	36%	11 Jan →
overpass	16–14	-0.03	9%	7 Jan →
overpass	9–13	0.05	17%	6 Jan →
italy	13–10	0.12	20%	6 Jan →
office	13–4	0.03	18%	1 Jan →
inferno	8–13	0.00	9%	21 Dec →
office	13–8	0.06	14%	21 Dec →
italy	13–3	0.02	22%	21 Dec →
ancient	8–13	-0.07	21%	19 Dec →
italy	4–13	-0.01	14%	19 Dec →
agency	9–13	-0.02	4%	14 Dec →
nuke	6–13	-0.05	13%	9 Dec →
italy	13–4	0.18	26%	9 Dec →
italy	12–12	-0.02	9%	21 Nov →
nuke	13–11	0.03	19%	17 Nov →
vertigo	8–13	-0.02	15%	17 Nov →
agency	13–11	0.02	10%	16 Nov →
nuke	3–13	0.00	29%	28 Oct →
nuke	13–7	-0.08	7%	24 Oct →
mirage	4–13	-0.01	19%	24 Oct →
overpass	13–11	0.00	15%	23 Oct →
ancient	6–13	0.03	20%	23 Oct →
anubis	9–13	0.03	7%	9 Oct →
dust2	5–13	-0.04	17%	9 Oct →
mirage	5–13	-0.08	13%	5 Oct →
overpass	13–6	-0.02	11%	30 Sept →
office	2–13	-0.14	11%	30 Sept →
office	13–7	0.07	19%	30 Sept →
agency	8–13	-0.04	22%	30 Sept →
ancient	11–13	-0.02	9%	29 Sept →
italy	9–13	-0.05	12%	29 Sept →
vertigo	4–13	0.00	9%	29 Sept →
overpass	10–13	-0.01	26%	29 Sept →
agency	6–13	-0.05	10%	26 Sept →
ancient	13–7	-0.01	10%	26 Sept →
inferno	5–13	-0.06	11%	23 Sept →
inferno	14–16	-0.03	12%	22 Sept →
ancient	13–9	0.01	20%	21 Sept →
nuke	8–13	-0.05	13%	21 Sept →
nuke	13–16	-0.01	18%	21 Sept →
dust2	13–8	-0.02	8%	19 Sept →
mirage	6–13	-0.04	11%	19 Sept →
overpass	13–10	-0.08	23%	19 Sept →
overpass	13–7	-0.01	14%	18 Sept →
mirage	13–6	0.00	19%	18 Sept →
nuke	13–3	-0.01	27%	18 Sept →
nuke	13–5	0.04	23%	15 Sept →
dogtown	9–5	0.07	11%	14 Sept →
brewery	6–9	-0.14	13%	14 Sept →
inferno	13–11	0.06	14%	14 Sept →
jura	7–13	0.06	18%	12 Sept →
dust2	10–13	-0.01	10%	11 Sept →
dust2	9–13	-0.04	15%	11 Sept →
mirage	13–6	-0.00	13%	11 Sept →
dust2	10–13	0.03	18%	10 Sept →
mirage	10–0	0.07	17%	10 Sept →
italy	13–11	0.07	17%	9 Sept →
anubis	7–13	0.05	6%	9 Sept →
agency	12–12	0.06	15%	9 Sept →
inferno	16–14	-0.03	13%	9 Sept →
mirage	13–10	0.08	15%	9 Sept →
inferno	13–9	-0.10	21%	9 Sept →
italy	13–5	0.11	9%	8 Sept →
agency	13–10	0.01	23%	8 Sept →
train	13–8	0.03	19%	8 Sept →
ancient	13–5	0.06	7%	8 Sept →
nuke	12–12	0.02	9%	8 Sept →