Ayteel — CS2 Stats

PROPhantom EsportsPolandIGLSettings & gear profile →

76561199114085239[U:1:1153819511]✓ No bans

2,011Tracked matches67%Win rate2021Tracked since

9,476Hours in CS

CSDB Rating6.4 SolidPassive Rifler

Premier CS Rating13,435Blue band · top ~36.7% of ranked players (population est.)

CSDB Leaderboard#6494 of 9414 tracked

FaceitLevel 10 · 3,756 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	69.6%	52.8%
Shot accuracy	1.2%	13.7%
Kill/death ratio	0.93	1.08
Match win rate	54.4%	49.2%

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Performance scores

Aim90

Positioning42

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLLWLWWWWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim9.0

Aggression0.7

Utility6.0

Positioning4.2

Opening Duels0.0

Clutch3.6

Sharp aimerStrong CT-side opener

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 83% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 48 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 11% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning4.2

Utility6.0

Mechanics7.6

Opening Duels1.9

Win Impact10.0

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time475ms−49ms

first ⅓ avg 524ms → last ⅓ avg 475ms

Headshot accuracy22.7%−2.9%

first ⅓ avg 25.6% → last ⅓ avg 22.7%

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

0.15Best rating — mirage 13–9

13–1Biggest win — ancient

10Longest win streak

L2Current streak

8–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	23	15–8	65%	0.00
ancient	B	20	10–10	50%	0.00
nuke	B	20	9–11	45%	-0.01
dust2	B	13	6–7	46%	-0.01
anubis	S	7	5–2	71%	0.05
inferno	C	5	2–3	40%	-0.02
train	C	5	2–3	40%	-0.00
overpass	—	4	1–3	25%	-0.04
cache	—	3	1–2	33%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

199,583Lifetime kills

0.93K/D

3,173Matches

54.4%Match win rate · Top 25% of Level 10 players

69.6%Headshot % · Top 10% of Level 10 players

1.2%Shot accuracy

9,574MVPs

9,476Hours (in match)

4,517Bombs planted

1,228Bombs defused

Most-used weapons

AK-47136,881

M4A4 / M4A1-S17,860

P2000 / USP-S11,255

Desert Eagle9,762

Glock-184,869

AWP4,724

MP93,009

Galil AR2,933

Knife2,505

MAC-10996

Lifetime map wins

4,987dust2

4,783nuke

2,399inferno

1,586vertigo

1,133train

13office

2assault

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

Faceit stats

Combat

2,215Matches

57%Win rate

1.22Avg K/D

83.0ADR

55%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	601	55%	1.18	16.5
Anubis	373	61%	1.26	17.5
Ancient	367	60%	1.28	17.3
Dust2	276	53%	1.12	16.1
Nuke	223	59%	1.15	16.0
Vertigo	89	49%	1.28	18.2
Inferno	64	56%	1.24	15.8
Train	39	49%	1.13	17.6

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

Inventory

$936Inventory value14ItemsFull inventory breakdown →

$560

$193

$57

$52

$39

$16

Skill profile

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

23.2%Headshot accuracy

37.9%Accuracy (enemy spotted)

43.0%Spray accuracy

84.3%Counter-strafing

10.4°Preaim

476msReaction time

11.4%T opening success

45.3%CT opening success

0.61Enemies flashed / flash

5.7%Flash assists

7.80HE damage / grenade

9.91Flashes / 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 11.387% — 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.

40% win rate across 5 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
anubis	9–13	0.04	21%	25 Aug →
ancient	5–13	-0.07	13%	17 Aug →
mirage	16–13	-0.01	30%	17 Aug →
cache	10–13	-0.01	20%	17 Aug →
nuke	13–7	0.06	18%	16 Aug →
mirage	13–9	0.01	29%	16 Aug →
ancient	13–1	0.10	23%	15 Aug →
mirage	13–7	0.01	16%	15 Aug →
cache	13–10	-0.05	20%	14 Aug →
ancient	11–13	0.03	28%	14 Aug →
cache	3–13	-0.05	24%	14 Aug →
nuke	13–5	0.04	24%	14 Aug →
mirage	9–13	-0.03	9%	14 Aug →
anubis	13–8	0.04	37%	24 Jul →
mirage	13–1	0.02	36%	5 Jul →
dust2	14–16	-0.05	15%	5 Jul →
ancient	6–13	-0.04	24%	5 Jul →
dust2	13–4	0.08	27%	5 Jul →
nuke	13–8	-0.00	26%	5 Jul →
anubis	13–11	-0.05	31%	4 Jul →
mirage	13–10	0.02	29%	4 Jul →
ancient	13–8	0.03	18%	29 Jun →
mirage	13–6	0.01	10%	29 Jun →
mirage	13–3	0.01	21%	29 Jun →
mirage	16–13	-0.00	29%	22 Jun →
mirage	13–8	0.05	35%	22 Jun →
nuke	13–10	-0.01	35%	15 Jun →
inferno	4–13	-0.09	9%	23 May →
mirage	10–13	-0.04	5%	23 May →
ancient	13–4	0.02	33%	23 May →
mirage	7–13	-0.03	28%	6 May →
ancient	13–6	-0.04	18%	6 May →
nuke	11–13	-0.04	8%	6 May →
dust2	6–13	-0.05	11%	4 May →
nuke	8–13	0.02	30%	27 Apr →
ancient	13–2	-0.00	17%	23 Apr →
ancient	6–13	-0.00	17%	19 Apr →
nuke	5–13	-0.07	21%	19 Apr →
dust2	13–10	-0.02	20%	19 Apr →
nuke	5–13	-0.07	21%	19 Apr →
dust2	13–10	-0.02	20%	19 Apr →
ancient	6–13	-0.00	17%	19 Apr →
dust2	13–8	0.03	22%	19 Apr →
anubis	13–11	0.11	27%	19 Apr →
dust2	13–8	0.03	22%	19 Apr →
anubis	13–11	0.11	27%	19 Apr →
ancient	12–16	-0.03	27%	19 Apr →
mirage	9–13	-0.08	15%	19 Apr →
ancient	12–16	-0.03	27%	19 Apr →
mirage	9–13	-0.08	15%	19 Apr →
overpass	4–13	-0.02	20%	18 Apr →
ancient	13–2	0.03	29%	18 Apr →
ancient	10–13	-0.05	10%	18 Apr →
ancient	13–4	0.07	36%	18 Apr →
mirage	22–20	0.00	14%	18 Apr →
dust2	13–6	-0.05	21%	16 Apr →
anubis	13–8	0.09	22%	1 Apr →
nuke	3–11	0.02	23%	27 Mar →
nuke	1–3	0.04	50%	27 Mar →
ancient	13–11	-0.03	21%	27 Mar →
anubis	4–13	-0.02	42%	27 Mar →
ancient	14–16	0.01	24%	16 Mar →
ancient	13–7	0.07	34%	28 Feb →
dust2	9–13	0.02	26%	9 Feb →
mirage	17–19	-0.02	20%	6 Feb →
mirage	13–11	0.03	11%	6 Feb →
mirage	13–9	0.15	19%	14 Jan →
dust2	3–13	-0.08	19%	2 Jan →
ancient	9–13	-0.04	11%	26 Dec →
ancient	13–10	0.05	32%	29 Nov →
dust2	7–13	-0.02	34%	6 Nov →
nuke	6–13	-0.02	12%	6 Nov →
mirage	13–4	0.04	29%	6 Nov →
mirage	7–13	-0.01	30%	5 Nov →
nuke	17–19	-0.02	16%	5 Nov →
inferno	13–9	0.01	26%	5 Nov →
nuke	13–10	-0.01	23%	1 Nov →
inferno	11–13	-0.00	26%	1 Nov →
nuke	12–5	0.03	40%	1 Nov →
train	13–1	0.02	31%	1 Nov →
nuke	9–14	-0.08	28%	1 Nov →
train	13–16	0.02	26%	1 Nov →
overpass	13–8	-0.05	16%	27 Oct →
nuke	9–13	0.01	28%	27 Oct →
mirage	13–8	0.05	26%	27 Oct →
overpass	2–13	-0.06	26%	26 Oct →
inferno	13–7	0.03	30%	26 Oct →
train	2–13	-0.03	36%	26 Oct →
nuke	7–13	-0.01	19%	25 Oct →
dust2	2–13	-0.04	33%	25 Oct →
train	13–10	0.01	15%	25 Oct →
nuke	13–9	-0.03	27%	25 Oct →
nuke	16–14	-0.03	15%	24 Oct →
train	5–13	-0.01	24%	24 Oct →
mirage	6–13	-0.04	32%	24 Oct →
mirage	13–11	-0.02	23%	9 Oct →
overpass	14–16	-0.02	23%	9 Oct →
nuke	13–5	-0.03	18%	9 Oct →
inferno	5–13	-0.03	41%	9 Oct →
dust2	11–13	-0.01	31%	9 Oct →