✟Zagadoth — CS2 Stats

76561198359035111[U:1:398769383]Steam profile ↗✓ No bans

2,415Tracked matches43%Win rate2023Tracked since

2,143Hours in CS5Hrs last 2 wks

CSDB Rating4.3 Developing

Premier CS Rating16,390Purple band · top ~22.9% of ranked players (population est.)

CSDB Leaderboard#11277 of 18812 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning44

Utility45

0–100 skill scores via Leetify.

Recent form

COLD44–53–3Last 10044%Win rateLLLLLLWWLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.2

Aggression4.7

Utility4.5

Positioning4.4

Opening Duels0.1

Clutch2.6

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 NiKo 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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. 614ms 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

Aim5.2

Positioning4.4

Utility4.5

Mechanics6.0

Opening Duels0.5

Win Impact2.8

Composite 4.3/10 (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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time609ms−44ms

first ⅓ avg 653ms → last ⅓ avg 609ms

Headshot accuracy13.8%+0.1%

first ⅓ avg 13.6% → 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

0.13Best rating — cache 13–6

13–1Biggest win — mirage

6Longest win streak

L6Current streak

8–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 58% over 12ancientWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	9–14	39%	-0.02
dust2	B	23	11–12	48%	-0.02
nuke	B	15	8–7	53%	-0.00
cache	A	12	7–5	58%	0.02
inferno	B	8	4–4	50%	0.02
anubis	D	6	2–4	33%	-0.01
ancient	D	5	0–5	0%	-0.04
vertigo	—	3	0–3	0%	-0.03
office	—	3	1–2	33%	-0.03
train	—	2	2–0	100%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,981Lifetime kills

0.94K/D

2,841Matches

47.8%Match win rate · Top 50% of tracked players

44.4%Headshot %

1.4%Shot accuracy

5,175MVPs

1,858Hours (in match)

2,926Bombs planted

672Bombs defused

Most-used weapons

AK-4721,016

M4A4 / M4A1-S11,446

P2000 / USP-S3,107

MP92,682

Glock-181,813

Desert Eagle1,812

MAC-101,682

AWP1,301

Galil AR677

MP7388

Lifetime map wins

4,855dust2

3,917inferno

3,354nuke

1,466vertigo

449train

403office

112cbble

87bank

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

Faceit stats

Combat

162Matches

56%Win rate

1.01Avg K/D

76.1ADR

45%Headshot %

Clutches & streaks

33%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	50	48%	1.00	13.8
Dust2	28	64%	1.08	14.6
Inferno	21	48%	1.05	15.2
Ancient	19	47%	0.94	14.0
Anubis	18	67%	0.90	12.7
Nuke	16	62%	0.98	13.8
Vertigo	7	57%	1.14	13.9
Overpass	3	100%	1.01	15.0

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.

13.3%Headshot accuracy

33.3%Accuracy (enemy spotted)

36.4%Spray accuracy

77.2%Counter-strafing

11.3°Preaim

614msReaction time

33.8%T opening success

27.1%CT opening success

0.36Enemies flashed / flash

5.5%Flash assists

6.80HE damage / grenade

13.22Flashes / 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 13.3223% — 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 0.364 — 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 33.8027% — below the 40% mark we flag

Spend your practice time on Ancient

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	-0.01	9%	25 Aug →
dust2	3–13	-0.07	25%	17 Aug →
mirage	5–13	-0.08	9%	17 Aug →
dust2	7–13	-0.05	10%	17 Aug →
inferno	10–13	-0.03	8%	17 Aug →
mirage	5–13	-0.04	14%	17 Aug →
train	13–7	0.06	16%	17 Aug →
nuke	13–7	0.10	16%	13 Aug →
dust2	9–13	-0.02	14%	13 Aug →
train	13–10	-0.01	16%	12 Aug →
inferno	14–16	0.01	13%	12 Aug →
dust2	4–13	-0.05	13%	12 Aug →
cache	13–9	0.04	14%	12 Aug →
inferno	13–9	0.07	23%	12 Aug →
nuke	2–13	-0.05	9%	12 Aug →
dust2	8–13	-0.05	24%	12 Aug →
mirage	6–13	-0.04	12%	12 Aug →
dust2	13–11	-0.03	9%	11 Aug →
cache	13–3	0.11	12%	11 Aug →
dust2	13–8	-0.00	16%	11 Aug →
nuke	13–11	0.01	10%	11 Aug →
nuke	13–7	0.02	10%	10 Aug →
nuke	13–8	-0.05	3%	10 Aug →
nuke	4–13	-0.04	0%	10 Aug →
nuke	5–13	-0.03	33%	10 Aug →
mirage	7–13	-0.07	10%	10 Aug →
mirage	14–16	-0.06	7%	10 Aug →
mirage	10–13	-0.00	17%	10 Aug →
mirage	13–11	-0.06	16%	10 Aug →
nuke	13–11	-0.02	17%	10 Aug →
dust2	13–3	0.03	21%	9 Aug →
ancient	5–13	-0.07	16%	9 Aug →
dust2	11–3	0.05	13%	9 Aug →
inferno	13–10	0.02	18%	9 Aug →
dust2	13–2	-0.03	7%	9 Aug →
mirage	6–13	-0.03	19%	9 Aug →
anubis	13–6	0.08	14%	8 Aug →
ancient	9–13	-0.03	13%	8 Aug →
mirage	11–13	0.01	14%	8 Aug →
cache	15–15	0.03	17%	5 Aug →
cache	7–13	0.00	14%	4 Aug →
mirage	13–8	-0.03	16%	4 Aug →
inferno	4–13	0.00	15%	4 Aug →
mirage	13–3	-0.00	4%	4 Aug →
cache	13–6	0.03	14%	4 Aug →
dust2	10–13	-0.04	8%	4 Aug →
dust2	6–13	-0.02	16%	4 Aug →
dust2	9–13	0.01	7%	4 Aug →
nuke	6–13	-0.00	20%	4 Aug →
mirage	3–13	-0.05	12%	4 Aug →
nuke	13–10	-0.02	21%	4 Aug →
nuke	13–4	0.07	12%	4 Aug →
mirage	9–13	-0.04	12%	3 Aug →
nuke	13–11	0.00	14%	3 Aug →
dust2	15–15	-0.03	22%	3 Aug →
dust2	2–13	-0.10	3%	3 Aug →
mirage	13–7	0.00	15%	3 Aug →
inferno	12–4	0.04	30%	3 Aug →
ancient	9–13	0.03	10%	3 Aug →
mirage	16–13	0.01	27%	3 Aug →
mirage	13–1	0.03	16%	2 Aug →
dust2	2–2	-0.12	100%	2 Aug →
vertigo	9–13	-0.00	19%	30 Jul →
vertigo	1–13	-0.06	13%	30 Jul →
vertigo	11–13	-0.03	8%	30 Jul →
cache	13–5	0.10	16%	29 Jul →
nuke	9–13	0.01	14%	29 Jul →
inferno	13–6	0.02	19%	28 Jul →
dust2	7–13	-0.04	10%	28 Jul →
dust2	13–9	0.00	6%	28 Jul →
mirage	13–4	0.03	15%	27 Jul →
mirage	6–13	-0.05	14%	27 Jul →
anubis	13–8	0.02	12%	26 Jul →
anubis	7–13	-0.04	12%	26 Jul →
nuke	0–7	-0.04	0%	26 Jul →
anubis	0–13	-0.06	7%	26 Jul →
dust2	13–7	0.03	11%	23 Jul →
ancient	8–13	-0.06	12%	22 Jul →
anubis	7–13	-0.01	6%	22 Jul →
dust2	13–3	0.09	25%	21 Jul →
cache	13–11	-0.01	21%	21 Jul →
cache	13–8	-0.03	12%	21 Jul →
mirage	11–13	-0.01	8%	20 Jul →
nuke	8–13	0.02	10%	20 Jul →
dust2	13–5	-0.02	19%	20 Jul →
mirage	13–11	0.08	14%	14 Jul →
dust2	13–7	0.01	26%	13 Jul →
dust2	13–16	-0.05	14%	13 Jul →
mirage	13–7	-0.04	11%	13 Jul →
inferno	7–13	0.02	24%	13 Jul →
anubis	7–13	-0.04	10%	13 Jul →
office	13–7	-0.01	10%	12 Jul →
office	3–8	-0.04	40%	11 Jul →
cache	8–13	-0.04	16%	10 Jul →
ancient	5–13	-0.08	21%	10 Jul →
office	7–13	-0.04	7%	9 Jul →
cache	13–6	0.13	9%	8 Jul →
mirage	12–12	-0.08	9%	7 Jul →
cache	11–13	-0.03	10%	7 Jul →
cache	5–13	-0.02	10%	7 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

1,000 Matches

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