Fresh — CS2 Stats

US76561198097288483[U:1:137022755]Steam profile ↗✓ No bans

352Tracked matches30%Win rate2021Tracked since

1,070Hours in CS8Hrs last 2 wks

CSDB Rating5.0 DevelopingHybrid Rifler

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning46

Utility29

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateLLLWLWLWLL

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

Player DNA

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

Aim7.2

Aggression5.8

Utility2.9

Positioning4.6

Opening Duels2.2

Strong CT-side openerLimited utility dependence

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: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 710ms 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

Aim7.2

Positioning4.6

Utility2.9

Mechanics8.3

Opening Duels2.7

Win Impact0.0

Composite 5.0/10 (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-0.03−0.05

first ⅓ avg 0.02 → last ⅓ avg -0.03

Reaction time706ms+18ms

first ⅓ avg 688ms → last ⅓ avg 706ms

Headshot accuracy28.2%+0.9%

first ⅓ avg 27.3% → last ⅓ avg 28.2%

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

0.27Best rating — mirage 13–0

13–0Biggest win — mirage

6Longest win streak

L3Current streak

8–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

trainBest map · 71% over 7overpassWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	21	12–9	57%	-0.01
ancient	C	16	7–9	44%	0.01
dust2	A	13	8–5	62%	-0.01
inferno	B	13	7–6	54%	-0.03
nuke	S	9	6–3	67%	0.01
anubis	C	8	3–5	38%	-0.03
overpass	D	8	1–7	13%	-0.05
train	S	7	5–2	71%	0.06
vertigo	—	3	2–1	67%	0.02
cache	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,284Lifetime kills

1.06K/D · Top 50% of tracked players

1,134Matches

47.6%Match win rate · Top 50% of tracked players

51.1%Headshot % · Top 50% of tracked players

17.6%Shot accuracy · Top 25% of tracked players

2,912MVPs

628Hours (in match)

1,116Bombs planted

333Bombs defused

Most-used weapons

AK-4711,569

M4A4 / M4A1-S4,376

AWP1,986

Desert Eagle1,628

P2000 / USP-S1,181

FAMAS884

P250745

Glock-18656

UMP-45473

MP9287

Lifetime map wins

2,624inferno

971dust2

435train

218nuke

180cbble

152vertigo

13italy

13office

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

Faceit stats

Combat

79Matches

44%Win rate

1.08Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWL

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.

28.1%Headshot accuracy

32.0%Accuracy (enemy spotted)

35.3%Spray accuracy

87.4%Counter-strafing

9.7°Preaim

710msReaction time

26.1%T opening success

51.7%CT opening success

0.62Enemies flashed / flash

1.8%Flash assists

4.46HE damage / grenade

2.47Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 710.411ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.4709 — below the 4 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 26.096% — below the 40% mark we flag

Spend your practice time on Overpass

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	4–13	-0.04	19%	26 Aug →
anubis	1–13	-0.03	59%	26 Aug →
ancient	9–13	-0.00	18%	25 Aug →
ancient	13–6	0.01	30%	22 Aug →
cache	8–13	0.03	44%	24 Jul →
cache	13–3	0.02	40%	24 Jul →
mirage	8–13	-0.01	28%	9 Jul →
inferno	13–5	-0.03	39%	9 Jul →
inferno	4–13	-0.01	19%	3 Jul →
mirage	11–13	-0.05	24%	29 Jun →
mirage	3–13	-0.06	10%	29 Jun →
anubis	13–11	-0.04	38%	29 Jun →
inferno	13–10	-0.01	27%	28 Jun →
ancient	5–13	-0.02	35%	20 May →
anubis	9–13	-0.05	30%	19 May →
anubis	13–11	-0.01	29%	3 Mar →
overpass	6–13	-0.07	27%	15 Feb →
dust2	4–13	-0.07	19%	10 Feb →
overpass	4–13	-0.00	24%	10 Feb →
nuke	5–13	-0.03	25%	5 Feb →
overpass	10–13	-0.03	19%	3 Feb →
overpass	2–9	-0.11	17%	2 Feb →
dust2	13–8	-0.03	24%	2 Feb →
inferno	5–13	-0.05	30%	2 Feb →
overpass	12–16	-0.03	14%	2 Feb →
mirage	10–13	-0.02	31%	1 Feb →
mirage	4–13	-0.05	45%	1 Feb →
ancient	13–7	0.03	23%	1 Feb →
mirage	13–11	-0.03	25%	31 Jan →
mirage	4–10	-0.05	44%	31 Jan →
mirage	9–13	-0.11	19%	30 Jan →
mirage	13–6	-0.02	24%	30 Jan →
ancient	13–9	0.03	33%	30 Jan →
anubis	13–6	0.02	38%	29 Jan →
mirage	13–9	0.06	31%	28 Jan →
mirage	13–11	0.03	26%	27 Jan →
nuke	13–8	-0.07	24%	27 Jan →
overpass	5–13	-0.04	20%	15 Dec →
inferno	10–13	-0.05	24%	15 Dec →
train	13–5	0.00	24%	15 Dec →
dust2	8–13	-0.09	5%	14 Dec →
overpass	13–3	-0.09	13%	24 Jul →
ancient	9–13	-0.02	30%	23 Jun →
inferno	15–15	-0.07	18%	23 Jun →
mirage	6–13	-0.07	20%	10 Jun →
train	13–7	-0.00	23%	9 Jun →
ancient	13–9	-0.04	33%	9 Jun →
inferno	13–10	0.08	40%	5 Jun →
nuke	13–9	0.02	34%	4 Jun →
train	13–16	0.01	35%	4 Jun →
inferno	13–9	-0.00	39%	24 Mar →
nuke	1–13	0.02	15%	24 Mar →
inferno	5–13	-0.07	23%	10 Mar →
mirage	13–10	-0.01	19%	2 Mar →
train	15–15	0.01	25%	25 Feb →
ancient	13–6	0.12	29%	23 Feb →
nuke	13–3	0.08	25%	23 Feb →
ancient	6–13	-0.05	21%	22 Feb →
mirage	13–8	-0.04	28%	26 Jan →
ancient	5–13	0.01	24%	20 Jan →
anubis	10–13	-0.05	24%	17 Jan →
dust2	13–11	-0.00	22%	28 Nov →
nuke	2–7	-0.05	7%	28 Nov →
vertigo	13–5	0.02	17%	27 Nov →
nuke	10–1	0.04	38%	27 Nov →
ancient	3–13	0.03	32%	27 Nov →
inferno	13–10	-0.02	29%	27 Nov →
anubis	7–13	-0.05	21%	26 Nov →
mirage	13–5	0.01	31%	26 Nov →
vertigo	12–12	0.05	20%	25 Nov →
dust2	6–13	0.01	31%	25 Nov →
mirage	13–0	0.27	40%	25 Nov →
overpass	12–12	0.01	23%	22 Nov →
mirage	13–9	0.05	19%	22 Nov →
inferno	13–11	-0.09	14%	21 Nov →
nuke	13–8	0.04	25%	21 Nov →
mirage	11–13	-0.02	21%	19 Nov →
dust2	13–9	-0.05	20%	18 Nov →
dust2	13–8	0.01	35%	17 Nov →
anubis	10–13	-0.02	21%	16 Nov →
mirage	16–12	-0.01	24%	16 Nov →
ancient	2–13	0.03	32%	16 Nov →
train	13–1	0.03	21%	14 Nov →
train	13–3	0.20	23%	14 Nov →
train	13–0	0.15	30%	14 Nov →
inferno	8–13	-0.02	22%	11 Nov →
dust2	11–13	-0.00	29%	11 Nov →
mirage	13–11	-0.02	34%	11 Nov →
dust2	13–8	0.02	41%	11 Nov →
ancient	13–8	0.02	24%	11 Nov →
dust2	13–5	0.02	31%	8 Nov →
nuke	13–11	0.04	37%	7 Nov →
ancient	5–13	-0.05	17%	7 Nov →
inferno	13–4	0.01	22%	4 Nov →
ancient	13–3	0.10	38%	4 Nov →
dust2	13–7	0.02	27%	4 Nov →
vertigo	13–6	-0.02	24%	3 Nov →
ancient	3–13	-0.06	54%	3 Nov →
mirage	16–12	-0.04	25%	2 Nov →
dust2	13–3	0.13	27%	2 Nov →