ayzcerc — CS2 Stats

76561199058701588[U:1:1098435860]✓ No bans

475Tracked matches46%Win rate2021Tracked since

577Hours in CS1Hrs last 2 wks

CSDB Rating3.5 Learning

Ladder ranks via Leetify

Performance scores

Aim41

Positioning33

Utility24

0–100 skill scores via Leetify.

Recent form

STEADY45–42–13Last 10045%Win rateLLWWWWLLWT

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim4.1

Aggression2.0

Utility2.4

Positioning3.3

Opening Duels0.0

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 67% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 667ms 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

Aim4.1

Positioning3.3

Utility2.4

Mechanics6.0

Opening Duels0.0

Win Impact3.6

Composite 3.5/10 (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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time651ms+19ms

first ⅓ avg 632ms → last ⅓ avg 651ms

Headshot accuracy12.0%−1.1%

first ⅓ avg 13.1% → last ⅓ avg 12.0%

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

0.11Best rating — ancient 13–4

13–2Biggest win — cache

6Longest win streak

L2Current streak

3–7In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 80% over 5trainWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	8–13	38%	-0.03
nuke	B	13	6–7	46%	-0.04
mirage	C	10	4–6	40%	-0.04
train	D	9	2–7	22%	-0.04
inferno	B	8	4–4	50%	-0.02
office	C	8	3–5	38%	-0.03
anubis	S	7	5–2	71%	-0.02
cache	C	7	3–4	43%	-0.06
ancient	S	5	4–1	80%	-0.01
vertigo	—	4	2–2	50%	-0.05
italy	—	2	1–1	50%	-0.04
agency	—	2	0–2	0%	-0.05
overpass	—	1	1–0	100%	-0.04
warden	—	1	1–0	100%	0.03
alpine	—	1	1–0	100%	-0.07
jura	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Lifetime stats

24,043Lifetime kills

0.91K/D

1,335Matches

26.4%Match win rate

37.1%Headshot %

13.6%Shot accuracy · Top 50% of tracked players

1,414MVPs

372Hours (in match)

689Bombs planted

87Bombs defused

Most-used weapons

M4A4 / M4A1-S8,783

AWP4,986

AK-474,385

P2000 / USP-S1,371

Desert Eagle1,185

Glock-18442

SSG 08385

MP9357

FAMAS307

Galil AR273

Lifetime map wins

1,273dust2

906nuke

701inferno

590vertigo

489train

257office

51italy

22lake

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.

12.5%Headshot accuracy

29.9%Accuracy (enemy spotted)

30.9%Spray accuracy

77.1%Counter-strafing

9.5°Preaim

667msReaction time

27.3%T opening success

30.2%CT opening success

0.47Enemies flashed / flash

2.9%Flash assists

3.57HE damage / grenade

5.38Flashes / 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 12.5017% — 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 0.4666 — 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 27.2549% — below the 40% mark we flag

Spend your practice time on Train

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–13	-0.02	15%	16 Aug →
train	5–13	-0.04	19%	16 Aug →
anubis	13–11	-0.05	8%	10 Aug →
mirage	13–4	0.04	25%	9 Aug →
ancient	13–5	-0.00	17%	9 Aug →
dust2	13–9	0.01	16%	9 Aug →
nuke	11–13	-0.06	13%	2 Aug →
inferno	4–13	-0.02	8%	2 Aug →
vertigo	13–8	-0.02	17%	2 Aug →
anubis	12–12	-0.04	17%	2 Aug →
train	8–13	-0.04	9%	2 Aug →
cache	6–13	-0.05	4%	2 Aug →
dust2	13–9	-0.03	13%	2 Aug →
dust2	12–12	-0.09	25%	2 Aug →
nuke	13–10	-0.08	8%	1 Aug →
italy	12–12	-0.03	14%	1 Aug →
mirage	5–13	-0.08	8%	31 Jul →
inferno	12–12	-0.13	12%	31 Jul →
mirage	12–12	-0.03	16%	31 Jul →
nuke	13–9	-0.04	13%	28 Jul →
office	12–12	0.02	6%	28 Jul →
anubis	13–7	0.01	7%	25 Jul →
cache	10–13	-0.07	8%	25 Jul →
train	13–7	-0.01	13%	25 Jul →
dust2	13–3	-0.03	10%	25 Jul →
nuke	11–13	-0.10	9%	25 Jul →
dust2	11–13	-0.04	14%	25 Jul →
mirage	10–13	-0.00	19%	19 Jul →
mirage	8–13	-0.09	8%	19 Jul →
office	2–13	-0.09	0%	17 Jul →
anubis	13–5	0.03	11%	17 Jul →
cache	13–10	-0.08	12%	17 Jul →
mirage	13–6	-0.07	4%	17 Jul →
vertigo	10–13	0.00	9%	16 Jul →
mirage	6–13	-0.01	14%	16 Jul →
office	9–13	-0.02	4%	13 Jul →
vertigo	11–13	-0.09	10%	13 Jul →
inferno	13–4	0.04	9%	11 Jul →
ancient	10–7	-0.03	8%	11 Jul →
dust2	13–8	-0.02	21%	11 Jul →
nuke	13–10	-0.08	19%	11 Jul →
dust2	13–6	-0.01	19%	11 Jul →
nuke	13–5	-0.03	9%	10 Jul →
dust2	4–13	-0.10	4%	10 Jul →
mirage	0–11	-0.02	0%	8 Jul →
dust2	7–13	-0.04	13%	7 Jul →
cache	12–12	0.00	14%	7 Jul →
dust2	13–11	-0.01	15%	7 Jul →
ancient	13–6	-0.10	10%	7 Jul →
dust2	8–13	-0.04	23%	6 Jul →
dust2	5–13	-0.03	18%	5 Jul →
dust2	1–13	-0.12	4%	5 Jul →
mirage	13–8	-0.02	11%	5 Jul →
dust2	9–13	-0.03	12%	5 Jul →
inferno	13–11	-0.02	20%	4 Jul →
ancient	10–13	-0.04	7%	4 Jul →
inferno	12–12	0.01	16%	30 Jun →
anubis	13–8	-0.06	10%	28 Jun →
dust2	10–13	0.05	15%	28 Jun →
cache	12–12	-0.08	12%	28 May →
office	13–10	0.03	14%	28 May →
overpass	13–10	-0.04	16%	18 May →
office	6–13	-0.12	7%	18 May →
nuke	3–13	-0.07	17%	14 May →
nuke	13–9	0.01	14%	6 May →
cache	13–6	-0.05	9%	6 May →
cache	13–2	-0.08	4%	6 May →
train	11–13	-0.05	12%	31 Mar →
italy	13–7	-0.04	6%	31 Mar →
nuke	13–4	-0.04	14%	31 Mar →
anubis	13–8	0.03	15%	31 Mar →
dust2	6–13	-0.04	20%	31 Mar →
train	13–9	-0.00	5%	14 Feb →
nuke	9–13	-0.06	16%	14 Feb →
office	6–13	-0.03	10%	14 Feb →
nuke	6–13	-0.00	11%	14 Feb →
anubis	7–13	-0.07	0%	14 Feb →
train	11–13	-0.04	14%	7 Feb →
vertigo	13–7	-0.11	13%	7 Feb →
office	13–7	-0.00	15%	7 Feb →
mirage	13–5	-0.10	20%	7 Feb →
warden	13–9	0.03	11%	3 Feb →
inferno	13–5	-0.06	6%	28 Jan →
alpine	13–7	-0.07	6%	24 Jan →
nuke	12–12	0.01	15%	24 Jan →
dust2	12–12	0.02	15%	24 Jan →
dust2	12–12	-0.01	14%	16 Jan →
ancient	13–4	0.11	20%	16 Jan →
office	13–5	-0.01	18%	16 Jan →
train	11–13	-0.03	8%	6 Jan →
agency	9–13	-0.02	19%	6 Jan →
train	9–13	-0.08	10%	27 Dec →
nuke	8–13	0.06	21%	20 Aug →
dust2	7–13	-0.03	15%	19 Aug →
inferno	9–4	0.01	19%	19 Aug →
agency	8–13	-0.08	3%	3 Jul →
dust2	13–2	-0.02	12%	3 Jul →
dust2	13–9	-0.05	9%	1 Jul →
jura	2–13	-0.05	20%	21 Jun →
train	12–12	-0.05	24%	13 Jun →