Camzthegoat — CS2 Stats

76561198086551010[U:1:126285282]

1,316Tracked matches45%Win rate2020Tracked since

1,162Hours in CS

CSDB Rating4.4 Developing

FaceitLevel 4 · 925 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim54

Positioning48

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY36–56–8Last 10036%Win rateLWWLLLWLLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim5.4

Aggression3.8

Utility6.5

Positioning4.8

Opening Duels1.8

Clutch3.2

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 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Strengths

Flashes. 0.87 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 654ms 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

Positioning4.8

Utility6.5

Mechanics5.4

Opening Duels1.8

Win Impact3.3

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time661ms−32ms

first ⅓ avg 694ms → last ⅓ avg 661ms

Headshot accuracy20.3%+0.0%

first ⅓ avg 20.3% → last ⅓ avg 20.3%

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

0.35Best rating — inferno 9–1

13–3Biggest win — cache

3Longest win streak

8–13In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 56% over 9infernoWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	14–16	47%	-0.00
mirage	D	15	4–11	27%	-0.02
inferno	D	14	3–11	21%	0.01
cache	D	12	4–8	33%	-0.02
nuke	A	9	5–4	56%	-0.03
vertigo	C	8	3–5	38%	-0.00
ancient	D	6	2–4	33%	-0.00
overpass	—	2	1–1	50%	0.01
poseidon	—	2	0–2	0%	0.00
train	—	1	0–1	0%	0.03
anubis	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,978Lifetime kills

1.03K/D

2,938Matches

42.1%Match win rate

50.2%Headshot % · Top 50% of tracked players

15.1%Shot accuracy · Top 50% of tracked players

6,762MVPs

1,162Hours (in match)

3,301Bombs planted

803Bombs defused

Most-used weapons

AK-4726,321

M4A4 / M4A1-S10,379

P2000 / USP-S2,392

AWP2,338

MAC-101,987

MP91,831

Glock-181,718

P901,598

Desert Eagle1,352

Galil AR1,276

Lifetime map wins

9,466dust2

3,047inferno

2,376vertigo

2,080nuke

592train

124office

83cbble

80lake

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

Faceit stats

Combat

381Matches

48%Win rate

0.94Avg K/D

77.6ADR

42%Headshot %

Clutches & streaks

36%1v1 clutch win

30%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	68	56%	0.91	14.0
Ancient	40	48%	0.93	13.9
Nuke	33	55%	0.98	15.7
Vertigo	31	55%	0.97	14.9
Mirage	30	37%	0.91	13.3
Inferno	25	44%	0.90	13.5
Anubis	18	39%	0.98	15.6
Overpass	11	36%	0.81	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.

20.1%Headshot accuracy

33.8%Accuracy (enemy spotted)

33.9%Spray accuracy

74.4%Counter-strafing

11.2°Preaim

654msReaction time

29.6%T opening success

44.6%CT opening success

0.87Enemies flashed / flash

5.4%Flash assists

17.86HE damage / grenade

6.02Flashes / 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.

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 29.5977% — below the 40% mark we flag

Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.03	21%	11 Aug →
vertigo	13–10	-0.02	17%	7 Aug →
dust2	13–9	-0.03	13%	7 Aug →
ancient	8–13	0.04	26%	28 Jul →
mirage	5–13	0.01	40%	23 Jul →
cache	5–13	-0.06	24%	21 Jul →
dust2	13–11	-0.06	19%	21 Jul →
vertigo	10–13	-0.06	21%	20 Jul →
cache	10–13	0.03	15%	19 Jul →
dust2	13–10	0.02	17%	19 Jul →
cache	19–17	-0.02	22%	14 Jul →
dust2	5–13	-0.06	18%	8 Jul →
ancient	11–13	0.07	24%	7 Jul →
vertigo	13–9	-0.02	29%	7 Jul →
mirage	13–9	-0.02	22%	7 Jul →
dust2	13–10	-0.02	16%	30 Jun →
mirage	9–13	-0.03	9%	30 Jun →
nuke	13–6	-0.03	13%	7 Jun →
dust2	13–11	-0.01	27%	7 Jun →
mirage	3–13	-0.08	17%	6 Jun →
ancient	13–8	0.01	18%	6 Jun →
dust2	14–16	0.01	20%	6 Jun →
ancient	5–13	-0.08	20%	5 Jun →
dust2	12–12	-0.00	30%	3 Jun →
dust2	11–13	-0.01	17%	30 May →
overpass	13–11	-0.03	20%	30 May →
mirage	8–13	-0.05	14%	30 May →
cache	3–13	-0.09	14%	18 May →
cache	3–13	-0.08	17%	18 May →
dust2	13–8	0.05	22%	12 May →
mirage	7–13	0.01	26%	9 May →
cache	11–13	0.06	23%	9 May →
train	7–13	0.03	23%	9 May →
mirage	13–4	-0.04	33%	9 May →
inferno	5–13	0.03	62%	9 May →
dust2	7–13	-0.06	12%	8 May →
dust2	6–13	-0.04	13%	8 May →
ancient	11–13	-0.04	10%	7 May →
cache	6–13	-0.08	27%	7 May →
cache	3–13	-0.01	23%	7 May →
mirage	12–12	0.02	20%	2 May →
cache	13–3	0.03	24%	2 May →
dust2	10–13	0.04	23%	2 May →
mirage	5–13	0.07	29%	2 May →
cache	13–5	-0.03	20%	2 May →
cache	6–13	0.02	31%	2 May →
cache	13–9	-0.03	16%	1 May →
dust2	13–11	0.03	22%	27 Apr →
dust2	12–12	0.00	27%	25 Apr →
ancient	13–4	-0.01	20%	25 Apr →
anubis	6–13	-0.00	23%	25 Apr →
dust2	13–9	-0.00	30%	25 Apr →
mirage	9–13	-0.02	21%	25 Apr →
overpass	11–13	0.04	12%	22 Apr →
dust2	0–13	-0.12	0%	22 Apr →
dust2	7–13	-0.07	19%	21 Apr →
vertigo	11–13	0.07	18%	19 Apr →
dust2	6–0	0.04	20%	19 Apr →
mirage	13–9	-0.01	18%	18 Apr →
dust2	13–3	0.11	19%	18 Apr →
inferno	7–9	-0.09	42%	17 Apr →
nuke	2–9	-0.10	38%	17 Apr →
nuke	4–9	-0.17	20%	17 Apr →
dust2	10–13	-0.00	20%	14 Apr →
mirage	6–13	-0.06	15%	11 Apr →
dust2	7–13	-0.04	24%	11 Apr →
dust2	13–11	0.05	16%	11 Apr →
mirage	5–13	-0.02	22%	11 Apr →
nuke	13–11	-0.03	26%	7 Apr →
mirage	13–8	0.03	13%	5 Apr →
vertigo	12–12	0.06	22%	5 Apr →
dust2	13–6	0.07	25%	5 Apr →
dust2	7–1	0.08	24%	5 Apr →
dust2	8–13	-0.02	14%	4 Apr →
dust2	8–13	0.02	25%	4 Apr →
poseidon	8–8	-0.05	13%	2 Apr →
vertigo	7–9	-0.02	33%	2 Apr →
nuke	9–4	0.02	17%	2 Apr →
inferno	5–9	-0.10	21%	2 Apr →
mirage	7–11	-0.05	22%	28 Mar →
dust2	11–13	-0.07	17%	28 Mar →
inferno	9–7	0.06	14%	21 Mar →
inferno	8–8	0.11	19%	21 Mar →
inferno	8–8	0.01	20%	21 Mar →
nuke	9–5	0.07	23%	21 Mar →
inferno	9–1	0.35	20%	21 Mar →
poseidon	7–9	0.05	22%	21 Mar →
inferno	7–9	0.07	10%	21 Mar →
nuke	8–8	0.00	19%	21 Mar →
nuke	4–9	-0.12	3%	21 Mar →
inferno	2–9	-0.13	21%	21 Mar →
vertigo	9–4	0.01	26%	16 Mar →
inferno	3–9	-0.07	16%	16 Mar →
inferno	13–9	-0.03	28%	15 Mar →
nuke	5–0	0.08	22%	15 Mar →
dust2	13–6	0.02	20%	15 Mar →
vertigo	5–9	-0.03	28%	15 Mar →
inferno	1–9	-0.08	16%	15 Mar →
inferno	2–9	-0.07	19%	15 Mar →
inferno	7–9	0.10	33%	15 Mar →