Glizzy4u — CS2 Stats

76561198379127498[U:1:418861770]

2,904Tracked matches46%Win rate2020Tracked since

CSDB Rating6.5 SolidAggressive Rifler

FaceitLevel 10 · 1,925 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning69

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLWLWLWTWLW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.7

Aggression10.0

Utility6.3

Positioning6.9

Opening Duels5.1

Clutch4.0

Sharp aimerStrong CT-side openerEffective flashes

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 sh1ro 97% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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 87 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 67% on CT to 34% 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

Aim8.7

Positioning6.9

Utility6.3

Mechanics6.5

Opening Duels5.1

Win Impact3.8

Composite 6.5/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time505ms−0ms

first ⅓ avg 505ms → last ⅓ avg 505ms

Headshot accuracy28.8%−0.7%

first ⅓ avg 29.5% → last ⅓ avg 28.8%

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 — dust2 13–8

13–2Biggest win — nuke

5Longest win streak

10–5In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 60% over 10dust2Weakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	13–10	57%	0.01
dust2	C	17	6–11	35%	0.03
inferno	A	17	10–7	59%	0.00
ancient	C	14	6–8	43%	-0.00
anubis	A	10	6–4	60%	0.06
cache	C	9	4–5	44%	0.00
nuke	A	7	4–3	57%	0.03
vertigo	—	2	0–2	0%	0.07
office	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,677Matches

50%Win rate

1.24Avg K/D

82.8ADR

54%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	283	51%	1.26	17.4
Dust2	155	49%	1.23	17.3
Anubis	115	50%	1.25	17.4
Inferno	99	53%	1.18	17.0
Ancient	87	43%	1.14	17.2
Cache	36	53%	1.42	17.5
Nuke	24	33%	1.34	16.8
Overpass	18	22%	1.02	16.1

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.

28.8%Headshot accuracy

32.0%Accuracy (enemy spotted)

35.1%Spray accuracy

79.2%Counter-strafing

7.8°Preaim

496msReaction time

33.6%T opening success

67.0%CT opening success

0.70Enemies flashed / flash

8.7%Flash assists

10.30HE damage / grenade

10.00Flashes / 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 33.6391% — below the 40% mark we flag

Spend your practice time on Dust 2

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	5–13	-0.05	31%	28 Aug →
ancient	13–5	0.01	19%	28 Aug →
dust2	11–13	-0.01	19%	27 Aug →
mirage	13–11	-0.01	31%	26 Aug →
mirage	19–22	0.03	19%	26 Aug →
anubis	13–10	0.06	33%	26 Aug →
dust2	12–12	0.01	18%	25 Aug →
inferno	13–7	0.05	30%	25 Aug →
ancient	8–13	0.00	27%	22 Aug →
dust2	13–11	-0.01	49%	22 Aug →
vertigo	9–13	0.05	46%	22 Aug →
cache	14–16	-0.04	17%	20 Aug →
cache	11–13	-0.05	29%	20 Aug →
mirage	13–9	-0.02	32%	28 Jul →
dust2	4–13	0.06	37%	28 Jul →
ancient	12–16	-0.04	25%	27 Jul →
inferno	8–13	-0.02	33%	27 Jul →
dust2	15–15	0.01	40%	27 Jul →
inferno	13–8	0.05	55%	27 Jul →
anubis	13–8	0.12	30%	27 Jul →
cache	8–13	-0.02	26%	26 Jul →
mirage	1–13	-0.01	29%	26 Jul →
ancient	5–13	-0.00	26%	26 Jul →
nuke	16–14	-0.00	18%	26 Jul →
mirage	13–11	0.08	27%	25 Jul →
mirage	13–6	0.04	39%	25 Jul →
nuke	10–13	0.10	19%	25 Jul →
dust2	13–7	0.09	32%	24 Jul →
dust2	9–13	0.01	22%	22 Jul →
ancient	13–10	-0.00	25%	19 Jul →
dust2	19–17	0.08	27%	18 Jul →
mirage	4–13	0.05	27%	17 Jul →
ancient	8–13	-0.02	16%	16 Jul →
ancient	13–4	0.03	46%	14 Jul →
anubis	15–15	0.04	33%	13 Jul →
anubis	7–13	-0.03	23%	13 Jul →
inferno	13–5	0.02	31%	12 Jul →
cache	12–16	-0.05	35%	11 Jul →
inferno	8–13	0.01	18%	11 Jul →
inferno	4–13	-0.01	29%	10 Jul →
nuke	13–10	-0.01	23%	10 Jul →
mirage	13–11	-0.04	26%	9 Jul →
cache	8–13	0.03	35%	9 Jul →
cache	13–6	0.01	9%	9 Jul →
anubis	9–13	0.08	40%	7 Jul →
mirage	13–11	0.10	26%	7 Jul →
cache	13–6	0.01	34%	6 Jul →
mirage	9–13	0.09	21%	6 Jul →
mirage	11–13	0.01	40%	6 Jul →
dust2	12–12	-0.06	22%	6 Jul →
inferno	13–7	-0.01	8%	5 Jul →
dust2	5–13	0.00	22%	5 Jul →
ancient	9–13	-0.02	18%	5 Jul →
nuke	6–9	-0.10	14%	5 Jul →
inferno	9–7	-0.06	23%	5 Jul →
inferno	9–6	0.09	19%	5 Jul →
mirage	7–13	0.06	32%	5 Jul →
dust2	3–13	0.00	30%	5 Jul →
mirage	16–14	-0.01	19%	5 Jul →
dust2	16–12	0.06	43%	5 Jul →
dust2	15–15	0.04	31%	4 Jul →
inferno	13–9	0.03	36%	4 Jul →
ancient	12–16	0.08	28%	3 Jul →
mirage	8–13	-0.01	22%	3 Jul →
nuke	13–2	0.11	23%	3 Jul →
anubis	11–13	0.13	25%	3 Jul →
cache	13–10	0.05	33%	3 Jul →
dust2	10–13	0.05	38%	3 Jul →
mirage	13–10	0.05	28%	14 Jun →
anubis	13–5	0.09	26%	14 Jun →
dust2	13–11	0.03	39%	14 Jun →
inferno	13–6	0.03	21%	14 Jun →
mirage	13–8	0.00	24%	14 Jun →
nuke	8–13	0.07	35%	14 Jun →
ancient	8–13	0.01	35%	13 Jun →
office	13–4	0.03	30%	13 Jun →
cache	13–2	0.11	27%	13 Jun →
mirage	5–1	-0.01	22%	13 Jun →
inferno	7–13	0.05	18%	13 Jun →
inferno	8–13	-0.04	19%	13 Jun →
mirage	6–13	-0.01	36%	13 Jun →
inferno	5–9	-0.04	26%	12 Jun →
anubis	16–12	0.02	24%	12 Jun →
dust2	15–15	0.03	39%	12 Jun →
anubis	13–8	0.10	30%	12 Jun →
mirage	13–5	-0.03	30%	10 Jun →
anubis	19–15	0.02	18%	10 Jun →
inferno	8–13	-0.03	26%	10 Jun →
ancient	6–13	-0.04	32%	6 Jun →
inferno	13–10	-0.03	33%	6 Jun →
ancient	6–1	-0.00	29%	4 Jun →
mirage	13–9	0.04	43%	4 Jun →
vertigo	9–13	0.09	40%	4 Jun →
dust2	13–8	0.15	31%	4 Jun →
inferno	13–3	-0.02	45%	2 Jun →
mirage	9–13	-0.05	21%	2 Jun →
ancient	13–10	-0.03	32%	2 Jun →
mirage	12–2	0.04	38%	2 Jun →
ancient	13–8	-0.03	18%	2 Jun →
nuke	13–4	0.05	20%	2 Jun →