Ɑ͞ ̶͞ ̶͞ ﻝﮞ — CS2 Stats

76561199732091637[U:1:1771825909]Steam profile ↗✓ No bans

630Tracked matches53%Win rate2026Tracked since

369Hours in CS

CSDB Rating4.5 Developing

Premier CS Rating14,535Blue band · top ~30.9% of ranked players (population est.)

CSDB Leaderboard#9208 of 13903 tracked

WingmanGold Nova I

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim54

Positioning46

Utility59

0–100 skill scores via Leetify.

Recent form

COLD52–47–1Last 10052%Win rateLLLLLWWWLL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim5.4

Aggression3.9

Utility5.9

Positioning4.6

Opening Duels1.0

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 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Positioning4.6

Utility5.9

Mechanics4.1

Opening Duels1.0

Win Impact6.1

Composite 4.5/10 (Developing), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time606ms+4ms

first ⅓ avg 602ms → last ⅓ avg 606ms

Headshot accuracy16.5%+2.3%

first ⅓ avg 14.2% → last ⅓ avg 16.5%

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

0.14Best rating — train 13–7

13–0Biggest win — dust2

5Longest win streak

L5Current streak

7–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 67% over 12ancientWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	13–12	52%	0.00
nuke	A	14	9–5	64%	0.00
inferno	A	14	8–6	57%	0.01
ancient	D	13	3–10	23%	-0.02
anubis	B	12	6–6	50%	0.03
mirage	S	12	8–4	67%	0.00
cache	D	7	2–5	29%	0.02
train	—	2	2–0	100%	0.07
vertigo	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,794Lifetime kills

1.19K/D · Top 25% of tracked players

999Matches

52.8%Match win rate · Top 25% of tracked players

41.9%Headshot %

0.0%Shot accuracy

2,251MVPs

369Hours (in match)

1,061Bombs planted

294Bombs defused

Most-used weapons

AK-475,807

M4A4 / M4A1-S2,828

AWP1,588

P2000 / USP-S1,025

MP91,008

MAC-10916

Glock-18832

Desert Eagle496

Galil AR316

XM1014298

Lifetime map wins

2,243dust2

1,488nuke

1,333inferno

335vertigo

297train

253office

20italy

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.

16.6%Headshot accuracy

33.6%Accuracy (enemy spotted)

34.9%Spray accuracy

68.6%Counter-strafing

10.5°Preaim

590msReaction time

33.2%T opening success

34.6%CT opening success

0.68Enemies flashed / flash

3.0%Flash assists

9.79HE damage / grenade

14.11Flashes / 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 33.1931% — 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.

23% win rate across 13 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
ancient	8–13	-0.07	16%	30 Jul →
dust2	7–13	-0.07	17%	29 Jul →
ancient	2–9	0.03	18%	29 Jul →
cache	13–16	0.03	18%	29 Jul →
anubis	0–13	-0.01	17%	29 Jul →
nuke	13–6	0.07	18%	29 Jul →
inferno	9–5	0.05	20%	29 Jul →
anubis	13–6	0.08	36%	28 Jul →
ancient	6–13	-0.04	15%	28 Jul →
ancient	2–9	0.03	17%	28 Jul →
inferno	13–6	0.04	23%	28 Jul →
inferno	13–5	-0.02	15%	28 Jul →
nuke	13–7	0.01	14%	28 Jul →
dust2	16–14	-0.01	15%	26 Jul →
anubis	10–13	-0.00	16%	26 Jul →
nuke	13–9	0.00	15%	26 Jul →
mirage	9–13	-0.06	10%	26 Jul →
dust2	13–6	0.09	18%	26 Jul →
cache	6–13	-0.03	19%	26 Jul →
dust2	1–5	-0.05	8%	25 Jul →
anubis	13–6	0.13	18%	25 Jul →
dust2	13–6	0.00	19%	25 Jul →
cache	13–7	0.10	26%	25 Jul →
dust2	13–8	0.00	14%	24 Jul →
mirage	5–13	-0.04	17%	23 Jul →
dust2	12–16	-0.05	11%	22 Jul →
nuke	13–11	-0.03	12%	22 Jul →
nuke	13–11	0.02	20%	22 Jul →
anubis	13–6	0.06	20%	22 Jul →
anubis	10–13	-0.01	6%	21 Jul →
ancient	13–8	0.03	13%	21 Jul →
inferno	13–10	-0.01	14%	21 Jul →
anubis	7–13	0.01	10%	21 Jul →
dust2	13–6	-0.02	14%	21 Jul →
nuke	7–13	-0.04	26%	21 Jul →
ancient	13–11	0.02	13%	21 Jul →
nuke	13–11	-0.05	16%	21 Jul →
mirage	13–9	0.06	15%	21 Jul →
mirage	13–10	0.00	13%	21 Jul →
nuke	3–13	-0.07	11%	20 Jul →
dust2	8–13	0.05	14%	20 Jul →
mirage	14–16	-0.02	13%	20 Jul →
ancient	13–4	-0.01	14%	20 Jul →
ancient	9–13	-0.03	10%	20 Jul →
nuke	8–13	0.00	11%	20 Jul →
dust2	8–13	-0.00	25%	20 Jul →
cache	11–13	-0.06	16%	19 Jul →
mirage	13–11	0.02	16%	19 Jul →
cache	9–13	0.01	9%	19 Jul →
vertigo	13–3	0.08	25%	19 Jul →
train	13–7	0.14	12%	19 Jul →
dust2	13–7	0.07	16%	19 Jul →
dust2	13–6	0.04	16%	19 Jul →
inferno	13–2	0.02	9%	19 Jul →
ancient	9–13	-0.05	29%	19 Jul →
dust2	6–13	0.00	20%	19 Jul →
mirage	13–8	-0.01	9%	19 Jul →
mirage	13–7	-0.01	14%	19 Jul →
cache	13–9	0.13	11%	19 Jul →
dust2	13–0	-0.02	21%	18 Jul →
inferno	11–13	0.10	20%	18 Jul →
nuke	13–4	0.10	19%	18 Jul →
nuke	3–13	-0.07	15%	17 Jul →
ancient	2–13	-0.02	18%	17 Jul →
anubis	13–9	0.03	10%	17 Jul →
inferno	8–13	0.01	17%	16 Jul →
dust2	13–6	0.03	20%	16 Jul →
inferno	10–13	0.02	9%	16 Jul →
dust2	9–13	0.05	13%	16 Jul →
anubis	13–2	0.06	9%	16 Jul →
dust2	8–13	0.02	6%	16 Jul →
anubis	8–13	0.04	11%	16 Jul →
inferno	13–9	-0.04	11%	16 Jul →
inferno	7–13	-0.02	44%	16 Jul →
dust2	13–10	0.01	15%	16 Jul →
inferno	13–6	0.03	16%	16 Jul →
dust2	8–13	-0.05	15%	15 Jul →
dust2	6–13	-0.04	18%	15 Jul →
ancient	6–13	-0.01	14%	15 Jul →
ancient	1–7	-0.09	0%	15 Jul →
inferno	16–14	-0.01	14%	15 Jul →
inferno	6–13	-0.08	6%	14 Jul →
dust2	13–3	0.04	18%	14 Jul →
ancient	7–13	-0.05	18%	14 Jul →
dust2	8–13	0.00	10%	13 Jul →
cache	9–13	-0.03	21%	13 Jul →
inferno	10–13	0.00	15%	13 Jul →
nuke	12–12	0.07	16%	12 Jul →
dust2	13–10	-0.02	10%	12 Jul →
nuke	13–5	0.03	10%	12 Jul →
nuke	13–8	0.01	20%	12 Jul →
mirage	4–13	-0.06	10%	12 Jul →
anubis	13–7	0.03	27%	12 Jul →
dust2	13–10	-0.03	6%	12 Jul →
mirage	13–8	0.03	17%	12 Jul →
mirage	13–6	0.06	13%	11 Jul →
train	13–9	0.01	17%	11 Jul →
dust2	11–13	0.06	14%	11 Jul →
mirage	13–7	0.04	16%	11 Jul →
anubis	9–13	-0.07	6%	11 Jul →