Guicey — CS2 Stats

AU76561198774904305[U:1:814638577]Steam profile ↗✓ No bans

847Tracked matches50%Win rate2025Tracked since

734Hours in CS92Hrs last 2 wks

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating27,073Top 25% of 819 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

CSDB Leaderboard#934 of 19351 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning50

Utility58

0–100 skill scores via Leetify.

Recent form

COLD58–38–4Last 10058%Win rateLLLLWLLWLW

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim6.3

Aggression6.0

Utility5.8

Positioning5.0

Opening Duels2.1

Clutch2.0

Strong 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 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 47% on CT to 30% 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

Aim6.3

Positioning5.0

Utility5.8

Mechanics4.6

Opening Duels2.1

Win Impact5.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.06

first ⅓ avg 0.06 → last ⅓ avg -0.00

Reaction time514ms−14ms

first ⅓ avg 528ms → last ⅓ avg 514ms

Headshot accuracy12.4%−4.3%

first ⅓ avg 16.7% → last ⅓ avg 12.4%

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 — train 13–0

13–0Biggest win — train

6Longest win streak

L4Current streak

3–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 74% over 27ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	27	20–7	74%	0.04
mirage	A	25	14–11	56%	0.03
inferno	C	15	6–9	40%	0.03
cache	B	10	5–5	50%	0.05
anubis	A	8	5–3	63%	0.05
ancient	D	6	2–4	33%	0.01
train	—	4	4–0	100%	0.15
nuke	—	3	1–2	33%	0.02
vertigo	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

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

Lifetime stats

18,732Lifetime kills

1.33K/D · Top 10% of tracked players

917Matches

65.1%Match win rate · Top 5% of tracked players

44.9%Headshot %

0.0%Shot accuracy

2,641MVPs

368Hours (in match)

1,082Bombs planted

268Bombs defused

Most-used weapons

AK-476,942

M4A4 / M4A1-S3,071

Desert Eagle1,469

AWP1,325

P2000 / USP-S1,092

Glock-18783

SSG 08772

MP9620

MAC-10515

Galil AR466

Lifetime map wins

2,382dust2

1,393inferno

580nuke

579vertigo

413train

369office

27italy

1ar_shoots

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

Faceit stats

Combat

103Matches

56%Win rate

1.08Avg K/D

80.3ADR

37%Headshot %

Clutches & streaks

30%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	30	47%	1.19	16.0
Mirage	25	64%	1.00	13.1
Inferno	13	46%	0.94	13.7
Ancient	9	67%	1.02	13.9
Anubis	8	62%	1.09	17.4
Cache	8	38%	1.10	15.1
Vertigo	7	86%	1.23	16.6
Nuke	3	67%	0.90	18.0

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.

12.6%Headshot accuracy

32.2%Accuracy (enemy spotted)

38.8%Spray accuracy

70.9%Counter-strafing

9.1°Preaim

508msReaction time

30.1%T opening success

46.9%CT opening success

0.50Enemies flashed / flash

3.4%Flash assists

9.44HE damage / grenade

12.56Flashes / 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 12.6294% — below the 15% mark we flag
Aim Training →
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 30.1174% — 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.

33% win rate across 6 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
inferno	4–13	-0.04	15%	27 Aug →
mirage	10–13	0.04	15%	27 Aug →
mirage	8–13	-0.04	17%	27 Aug →
inferno	5–13	-0.02	20%	26 Aug →
dust2	13–7	0.02	13%	26 Aug →
dust2	6–13	-0.02	12%	26 Aug →
cache	8–13	0.01	17%	26 Aug →
dust2	13–7	-0.02	29%	26 Aug →
dust2	13–16	-0.05	11%	26 Aug →
dust2	19–17	0.01	10%	24 Aug →
nuke	8–13	-0.03	12%	23 Aug →
inferno	7–13	0.02	20%	23 Aug →
mirage	13–6	-0.03	14%	21 Aug →
vertigo	5–13	0.00	11%	21 Aug →
dust2	13–4	-0.01	9%	21 Aug →
ancient	3–13	-0.08	6%	21 Aug →
mirage	13–10	-0.02	7%	21 Aug →
mirage	13–9	0.01	14%	21 Aug →
dust2	13–10	0.01	8%	21 Aug →
mirage	13–11	-0.03	13%	21 Aug →
mirage	13–8	0.07	14%	19 Aug →
anubis	16–14	0.05	11%	19 Aug →
inferno	4–13	-0.04	6%	19 Aug →
ancient	11–13	0.04	11%	18 Aug →
dust2	13–16	0.00	13%	18 Aug →
cache	13–2	0.11	15%	18 Aug →
dust2	13–10	0.01	19%	18 Aug →
anubis	13–5	0.03	5%	18 Aug →
anubis	1–13	-0.05	9%	18 Aug →
ancient	13–8	-0.02	3%	18 Aug →
mirage	13–7	-0.01	6%	18 Aug →
mirage	4–13	0.03	10%	16 Aug →
dust2	4–13	-0.03	13%	16 Aug →
vertigo	13–4	0.04	9%	15 Aug →
inferno	2–13	-0.06	15%	15 Aug →
dust2	10–13	0.07	20%	14 Aug →
train	13–9	0.07	19%	14 Aug →
dust2	13–10	0.02	18%	14 Aug →
ancient	10–13	-0.01	17%	14 Aug →
train	13–4	0.20	20%	12 Aug →
dust2	13–10	0.03	13%	12 Aug →
mirage	8–13	0.08	22%	12 Aug →
dust2	13–4	0.15	18%	12 Aug →
cache	11–13	0.02	24%	12 Aug →
inferno	13–7	0.05	14%	12 Aug →
train	13–0	0.27	21%	12 Aug →
dust2	13–10	0.07	17%	12 Aug →
inferno	12–12	0.02	20%	12 Aug →
inferno	13–3	-0.00	19%	11 Aug →
train	13–2	0.06	24%	11 Aug →
nuke	13–9	0.07	23%	11 Aug →
mirage	13–7	0.14	8%	11 Aug →
cache	13–4	0.09	24%	11 Aug →
inferno	12–12	0.06	12%	10 Aug →
inferno	0–7	-0.12	0%	10 Aug →
cache	9–13	0.02	14%	10 Aug →
mirage	5–13	-0.02	15%	10 Aug →
anubis	13–8	0.13	10%	10 Aug →
mirage	13–9	-0.01	11%	10 Aug →
inferno	13–9	0.14	9%	9 Aug →
dust2	13–3	0.03	15%	8 Aug →
cache	11–13	0.07	18%	8 Aug →
mirage	11–13	0.07	13%	8 Aug →
anubis	13–7	0.06	11%	8 Aug →
dust2	13–6	0.04	22%	8 Aug →
mirage	13–7	0.12	11%	8 Aug →
mirage	3–13	0.02	17%	5 Aug →
mirage	6–13	-0.02	9%	5 Aug →
dust2	13–10	0.11	21%	5 Aug →
cache	10–13	-0.01	15%	5 Aug →
anubis	4–13	0.04	25%	5 Aug →
mirage	13–10	0.05	12%	5 Aug →
inferno	11–13	0.08	14%	5 Aug →
mirage	13–9	0.04	17%	5 Aug →
dust2	13–6	0.17	16%	5 Aug →
mirage	15–15	-0.04	29%	4 Aug →
inferno	13–3	0.14	15%	4 Aug →
dust2	9–1	0.07	7%	4 Aug →
nuke	9–13	0.02	23%	4 Aug →
cache	13–5	0.03	12%	4 Aug →
dust2	13–6	0.06	12%	4 Aug →
inferno	13–9	0.12	9%	4 Aug →
dust2	0–4	-0.01	13%	4 Aug →
mirage	13–9	-0.02	15%	4 Aug →
dust2	13–4	0.14	8%	4 Aug →
dust2	13–4	0.02	17%	4 Aug →
mirage	9–13	-0.00	8%	1 Aug →
dust2	13–8	0.01	18%	1 Aug →
cache	13–7	0.11	21%	1 Aug →
dust2	7–1	0.13	15%	1 Aug →
anubis	10–13	0.04	11%	1 Aug →
mirage	4–13	0.09	18%	1 Aug →
ancient	13–4	0.01	21%	31 Jul →
mirage	13–2	0.13	50%	31 Jul →
cache	13–5	0.06	11%	31 Jul →
anubis	13–9	0.12	18%	31 Jul →
mirage	13–8	0.12	14%	31 Jul →
inferno	13–6	0.08	16%	31 Jul →
ancient	0–2	0.14	25%	30 Jul →
dust2	12–12	0.06	16%	30 Jul →