FRX — CS2 Stats

76561198122492075[U:1:162226347]Steam profile ↗✓ No bans

2,546Tracked matches54%Win rate2020Tracked since

2,988Hours in CS

CSDB Rating4.5 DevelopingPositional Player

Premier CS Rating13,189Blue band · top ~38% of ranked players (population est.)

CSDB Leaderboard#164978 of 259056 tracked

FaceitLevel 5 · 1,495 ELOTop 67.6% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,189 -4,260 3 Sept – 30 Oct · 21 days played

Faceit ELO: 1,495 +0 3 Sept – 24 Sept · 2 observations

17,449Peak Premier in tracked matches

1,495Highest Faceit ELO seen on CSDB

19Days played since 2026-09-03

Faceit ELO

At peak — 1,495
Next: Level 8 at 1,531 — 36 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-09-03
Level 6 first seen 2026-09-03

Premier CS Rating

4,260 below peak (17,449)
-1,695 over 30 days · declining
Next: Purple band at 15,000 — 1,811 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-03
Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 median	Level 6 median	vs Level 6
Headshot rate	31.3%	43.8%	44.8%	13.5% short
Shot accuracy	12.8%	12.0%	12.4%	above
Kill/death ratio	0.98	1.02	1.03	0.05 short
Match win rate	45.1%	44.7%	45.2%	meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim42

Positioning55

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLTWLWLLWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.2pp headshot accuracy · +32ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 641ms

Last 10

4–5–1 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 695ms

Last 20

9–9–2 · 45% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 679ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim4.2

Utility5.1

Positioning5.5

Opening Duels2.1

Clutch3.6

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 68% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 680ms 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

Aim4.2

Positioning5.5

Utility5.1

Mechanics4.7

Opening Duels2.9

Win Impact6.2

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 rating-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time679ms+14ms

first ⅓ avg 664ms → last ⅓ avg 679ms

Headshot accuracy14.0%+0.5%

first ⅓ avg 13.5% → last ⅓ avg 14.0%

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.

Personal bests

0.11Best match rating · 13–5 · inferno, 18 Oct →

31%Best headshot accuracy · 12–16 · inferno, 25 Oct →

500msFastest reaction time · 8–13 · inferno, 19 Oct →

13–2Biggest win · mirage, 26 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

8–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 64% over 36ancientWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	36	23–13	64%	-0.01
mirage	C	17	7–10	41%	-0.02
dust2	C	11	4–7	36%	-0.01
nuke	B	10	5–5	50%	0.01
ancient	D	9	3–6	33%	0.01
anubis	C	9	4–5	44%	-0.03
cache	C	7	3–4	43%	-0.04
poseidon	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

126,093Lifetime kills

0.98K/D

7,296Matches

45.1%Match win rate · Top 50% of Level 5 players

31.3%Headshot %

12.8%Shot accuracy · Top 50% of Level 5 players

17,990MVPs

2,988Hours (in match)

6,878Bombs planted

1,997Bombs defused

Most-used weapons

AK-4730,196

M4A4 / M4A1-S24,292

AWP10,669

P2000 / USP-S7,484

Glock-186,653

Desert Eagle5,538

MP94,952

P2504,517

MAC-104,326

Galil AR2,973

Lifetime map wins

13,645dust2

8,957inferno

4,721nuke

2,109vertigo

1,372cbble

1,289train

598lake

353office

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

Faceit stats

Combat

491Matches

50%Win rate

0.98Avg K/D

74.6ADR

32%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	82	46%	0.99	15.6
Mirage	77	61%	0.93	13.7
Ancient	62	61%	1.05	15.2
Anubis	46	54%	0.97	16.0
Inferno	45	47%	1.03	15.7
Nuke	32	50%	1.00	16.4
Cache	10	50%	0.89	15.7
Vertigo	7	57%	1.12	17.6

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.

13.5%Headshot accuracy

36.7%Accuracy (enemy spotted)

37.7%Spray accuracy

71.3%Counter-strafing

12.7°Preaim

680msReaction time

44.2%T opening success

38.8%CT opening success

0.60Enemies flashed / flash

6.1%Flash assists

11.17HE damage / grenade

2.91Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.7199° — above the 12° mark we flag
Aim Training →
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 13.5087% — below the 15% 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 2.9132 — below the 4 mark we flag
Grenade Lineups →

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.

33% win rate across 9 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
mirage	7–13	-0.05	14%	30 Oct →
ancient	15–15	-0.04	11%	30 Oct →
inferno	13–9	0.01	11%	30 Oct →
mirage	9–13	-0.03	19%	29 Oct →
inferno	16–12	0.01	10%	29 Oct →
dust2	4–13	-0.09	11%	29 Oct →
mirage	5–13	0.02	11%	29 Oct →
inferno	13–11	0.01	12%	29 Oct →
inferno	11–13	-0.00	14%	29 Oct →
inferno	13–11	-0.01	18%	29 Oct →
inferno	13–10	-0.02	19%	29 Oct →
inferno	11–13	-0.02	13%	28 Oct →
mirage	13–7	-0.03	7%	28 Oct →
inferno	8–13	-0.02	21%	28 Oct →
inferno	13–16	-0.01	14%	27 Oct →
inferno	13–11	-0.03	11%	27 Oct →
anubis	6–13	-0.06	8%	27 Oct →
nuke	15–15	-0.01	16%	27 Oct →
nuke	13–5	-0.00	19%	27 Oct →
inferno	13–10	-0.05	14%	27 Oct →
ancient	9–13	-0.08	19%	27 Oct →
inferno	16–14	-0.03	12%	27 Oct →
mirage	13–9	-0.02	11%	26 Oct →
anubis	7–13	-0.09	19%	26 Oct →
mirage	13–2	-0.04	9%	26 Oct →
cache	13–8	0.02	8%	26 Oct →
mirage	13–16	-0.05	13%	26 Oct →
dust2	5–13	-0.00	18%	26 Oct →
mirage	13–9	-0.00	11%	26 Oct →
mirage	13–8	0.06	12%	26 Oct →
inferno	13–6	0.06	10%	25 Oct →
inferno	12–16	-0.06	31%	25 Oct →
nuke	9–13	0.03	15%	25 Oct →
poseidon	6–9	0.01	12%	25 Oct →
cache	11–13	-0.07	4%	24 Oct →
inferno	13–7	-0.00	13%	24 Oct →
inferno	15–15	-0.05	13%	24 Oct →
mirage	10–13	-0.00	20%	24 Oct →
mirage	15–15	-0.03	17%	24 Oct →
anubis	13–8	0.02	12%	24 Oct →
nuke	10–13	0.06	8%	24 Oct →
cache	5–13	-0.07	24%	23 Oct →
ancient	13–16	0.06	17%	23 Oct →
mirage	1–13	-0.07	3%	23 Oct →
dust2	4–13	-0.06	11%	23 Oct →
ancient	5–13	0.04	17%	23 Oct →
inferno	13–8	0.10	9%	21 Oct →
cache	7–13	-0.01	17%	21 Oct →
dust2	3–0	0.07	10%	21 Oct →
inferno	6–13	-0.09	3%	20 Oct →
nuke	13–10	0.02	23%	20 Oct →
dust2	16–13	0.02	17%	20 Oct →
ancient	14–16	0.06	7%	20 Oct →
ancient	13–4	0.11	15%	20 Oct →
dust2	10–13	-0.05	6%	20 Oct →
inferno	6–13	-0.07	11%	19 Oct →
nuke	13–8	0.00	23%	19 Oct →
anubis	13–2	-0.00	9%	19 Oct →
inferno	8–13	-0.04	11%	19 Oct →
cache	3–13	-0.11	6%	19 Oct →
ancient	13–11	-0.06	8%	19 Oct →
nuke	13–11	-0.03	12%	19 Oct →
anubis	13–4	-0.00	16%	19 Oct →
inferno	6–9	-0.10	12%	19 Oct →
dust2	11–13	0.02	20%	18 Oct →
dust2	13–7	-0.06	12%	18 Oct →
inferno	13–5	0.11	21%	18 Oct →
anubis	9–13	-0.04	13%	18 Oct →
cache	13–7	-0.03	8%	18 Oct →
mirage	13–8	-0.02	17%	17 Oct →
mirage	13–11	-0.02	9%	17 Oct →
anubis	13–7	0.01	23%	17 Oct →
inferno	13–7	-0.07	10%	17 Oct →
nuke	10–13	0.05	7%	16 Oct →
inferno	13–9	0.02	16%	16 Oct →
mirage	10–13	-0.06	16%	16 Oct →
inferno	13–9	0.01	9%	16 Oct →
inferno	8–13	0.03	11%	15 Oct →
mirage	11–13	-0.03	10%	15 Oct →
inferno	13–7	0.06	16%	15 Oct →
inferno	13–8	-0.04	15%	15 Oct →
inferno	13–8	0.03	16%	15 Oct →
dust2	15–15	-0.04	15%	14 Oct →
inferno	13–4	-0.07	22%	14 Oct →
dust2	13–5	0.01	10%	14 Oct →
inferno	13–8	0.03	11%	14 Oct →
inferno	13–5	-0.08	21%	14 Oct →
dust2	6–13	0.01	8%	14 Oct →
nuke	12–16	-0.01	19%	13 Oct →
ancient	8–13	-0.01	14%	13 Oct →
anubis	11–13	-0.02	13%	12 Oct →
inferno	13–11	-0.01	17%	12 Oct →
mirage	5–13	-0.03	27%	12 Oct →
anubis	9–13	-0.03	5%	11 Oct →
ancient	13–6	-0.02	22%	11 Oct →
inferno	9–13	-0.06	7%	11 Oct →
nuke	13–8	-0.02	8%	11 Oct →
inferno	8–13	-0.03	10%	11 Oct →
cache	13–10	-0.00	13%	11 Oct →
inferno	13–4	0.01	4%	11 Oct →