Aztec — CS2 Stats

US76561197995473370[U:1:35207642]Steam profile ↗✓ No bans

1,349Tracked matches44%Win rate2020Tracked since

2,726Hours in CS11Hrs last 2 wks

CSDB Rating4.6 Developing

Ladder ranks via Leetify

Performance scores

Aim57

Positioning55

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLLTLLWWLWW

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

Player DNA

Aim5.7

Aggression7.5

Utility5.5

Positioning5.5

Opening Duels2.8

Clutch2.4

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 88% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 619ms 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

Aim5.7

Positioning5.5

Utility5.5

Mechanics6.2

Opening Duels2.8

Win Impact3.1

Composite 4.6/10 (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 rating0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time616ms−23ms

first ⅓ avg 639ms → last ⅓ avg 616ms

Headshot accuracy19.2%+1.3%

first ⅓ avg 18.0% → last ⅓ avg 19.2%

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 — mirage 13–6

13–0Biggest win — cache

4Longest win streak

L2Current streak

9–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

overpassBest map · 60% over 5anubisWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	18	9–9	50%	-0.00
dust2	C	16	6–10	38%	0.01
cache	B	15	7–8	47%	0.00
nuke	D	12	3–9	25%	0.01
mirage	A	12	7–5	58%	0.00
ancient	A	11	6–5	55%	0.03
anubis	D	5	0–5	0%	-0.04
overpass	A	5	3–2	60%	-0.03
train	—	3	1–2	33%	0.00
vertigo	—	2	1–1	50%	0.05
sanctum	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

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

Lifetime stats

120,479Lifetime kills

1.23K/D · Top 25% of tracked players

4,840Matches

37.6%Match win rate

51.8%Headshot % · Top 50% of tracked players

12.6%Shot accuracy · Top 50% of tracked players

12,290MVPs

1,905Hours (in match)

4,009Bombs planted

848Bombs defused

Most-used weapons

AK-4763,394

M4A4 / M4A1-S13,895

AWP13,023

P2000 / USP-S6,356

Glock-183,371

P2502,844

MAC-102,085

FAMAS2,021

Desert Eagle1,921

MP91,430

Lifetime map wins

7,988inferno

4,991dust2

4,484nuke

1,290train

893vertigo

114office

58cbble

51aztec

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

Faceit stats

Combat

37Matches

46%Win rate

1.00Avg K/D

69.6ADR

41%Headshot %

Clutches & streaks

32%1v1 clutch win

17%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	33%	1.00	13.2
Dust2	5	60%	1.06	13.2
Inferno	3	33%	1.06	16.0
Nuke	3	67%	1.27	17.3
Anubis	2	50%	0.66	13.0
Train	1	0%	0.69	9.0

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.

19.2%Headshot accuracy

32.3%Accuracy (enemy spotted)

35.5%Spray accuracy

78.0%Counter-strafing

11.5°Preaim

619msReaction time

38.0%T opening success

44.3%CT opening success

0.61Enemies flashed / flash

5.8%Flash assists

9.21HE damage / grenade

6.54Flashes / 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 37.9535% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	2–13	-0.03	6%	28 Aug →
cache	11–13	0.09	14%	27 Aug →
nuke	15–15	0.03	15%	21 Aug →
anubis	4–13	-0.06	7%	18 Aug →
train	5–13	-0.04	21%	15 Aug →
cache	13–0	0.02	29%	15 Aug →
ancient	13–11	0.06	21%	12 Aug →
nuke	8–13	-0.00	19%	6 Aug →
dust2	13–4	0.03	32%	2 Aug →
cache	13–11	0.03	24%	31 Jul →
dust2	13–10	-0.02	28%	30 Jul →
nuke	10–13	0.05	30%	29 Jul →
ancient	13–16	0.01	22%	28 Jul →
dust2	4–13	0.05	16%	25 Jul →
train	12–12	0.01	15%	24 Jul →
ancient	13–8	0.05	28%	14 Jul →
inferno	4–13	-0.05	12%	13 Jul →
dust2	15–15	-0.07	29%	9 Jul →
cache	6–13	-0.01	12%	9 Jul →
anubis	3–13	-0.07	4%	4 Jul →
dust2	13–7	0.02	31%	27 Jun →
mirage	4–13	-0.01	9%	26 Jun →
inferno	4–13	-0.03	23%	26 Jun →
nuke	13–8	-0.04	10%	26 Jun →
dust2	13–16	-0.01	24%	24 Jun →
mirage	16–13	-0.03	18%	24 Jun →
inferno	8–13	0.02	17%	23 Jun →
inferno	13–2	0.02	10%	21 Jun →
overpass	13–2	0.01	13%	21 Jun →
mirage	13–11	-0.01	22%	21 Jun →
dust2	13–10	0.06	29%	21 Jun →
cache	6–13	-0.04	15%	21 Jun →
nuke	13–11	0.05	31%	21 Jun →
cache	13–6	-0.01	15%	21 Jun →
inferno	13–16	-0.05	30%	19 Jun →
ancient	13–11	-0.03	12%	18 Jun →
train	13–9	0.04	16%	13 Jun →
cache	13–9	0.09	25%	13 Jun →
nuke	13–6	0.03	14%	13 Jun →
dust2	10–13	0.02	18%	12 Jun →
inferno	6–13	0.04	22%	7 Jun →
ancient	11–13	-0.01	21%	1 Jun →
dust2	7–13	0.07	29%	30 May →
anubis	6–13	-0.04	38%	30 May →
vertigo	13–7	0.15	18%	30 May →
inferno	9–13	-0.06	14%	30 May →
cache	13–6	-0.05	19%	30 May →
dust2	2–13	-0.04	15%	28 May →
cache	7–13	-0.04	17%	28 May →
nuke	15–15	0.04	42%	25 May →
inferno	7–13	0.00	22%	23 May →
ancient	5–13	-0.02	24%	23 May →
mirage	13–7	-0.03	20%	23 May →
dust2	13–11	0.02	21%	19 May →
mirage	9–13	-0.02	14%	19 May →
mirage	13–6	0.16	35%	16 May →
inferno	13–11	-0.01	14%	16 May →
nuke	15–15	-0.01	19%	16 May →
cache	3–13	-0.08	9%	16 May →
mirage	5–13	-0.05	33%	15 May →
ancient	13–9	0.06	24%	13 May →
nuke	15–15	0.10	20%	10 May →
cache	12–12	0.07	29%	10 May →
overpass	13–9	-0.03	30%	6 May →
cache	6–13	-0.02	16%	6 May →
cache	13–7	0.01	20%	6 May →
cache	4–13	-0.01	22%	2 May →
cache	13–9	0.01	22%	29 Apr →
nuke	10–13	-0.07	3%	12 Apr →
overpass	1–9	-0.22	6%	11 Apr →
inferno	4–9	-0.09	5%	11 Apr →
inferno	13–10	0.00	13%	10 Apr →
anubis	7–13	-0.04	17%	20 Mar →
mirage	13–10	0.03	14%	20 Mar →
overpass	3–13	0.01	15%	19 Mar →
inferno	2–13	-0.04	16%	19 Mar →
dust2	5–13	-0.05	37%	14 Mar →
vertigo	5–9	-0.05	33%	14 Mar →
nuke	10–13	-0.02	12%	7 Mar →
anubis	14–16	-0.01	13%	6 Mar →
nuke	9–13	-0.04	18%	5 Mar →
ancient	9–13	0.03	17%	5 Mar →
inferno	9–5	0.05	23%	28 Feb →
mirage	13–11	0.04	24%	27 Feb →
sanctum	6–9	0.04	13%	26 Feb →
ancient	3–13	-0.04	15%	25 Feb →
ancient	13–6	0.04	18%	25 Feb →
inferno	13–2	0.08	29%	25 Feb →
inferno	13–2	0.03	22%	24 Feb →
inferno	13–6	0.09	10%	24 Feb →
dust2	8–13	0.08	18%	20 Feb →
inferno	13–11	-0.01	7%	18 Feb →
ancient	13–9	0.15	27%	18 Feb →
overpass	13–8	0.08	26%	18 Feb →
mirage	9–13	-0.04	19%	17 Feb →
dust2	6–13	-0.04	25%	16 Feb →
mirage	10–13	-0.07	17%	16 Feb →
inferno	13–8	-0.02	15%	16 Feb →
dust2	13–6	-0.01	11%	12 Feb →
mirage	13–6	0.03	33%	10 Feb →