z1egers — CS2 Stats

76561197995117010[U:1:34851282]Steam profile ↗✓ No bans

3,324Tracked matches53%Win rate2020Tracked since

CSDB Rating6.4 SolidHybrid Rifler

FaceitLevel 10 · 3,525 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning46

Utility75

0–100 skill scores via Leetify.

Recent form

COLD62–38Last 10062%Win rateWLLLLWLLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim7.9

Aggression6.1

Utility7.5

Positioning4.6

Opening Duels2.0

Clutch4.2

Strong CT-side openerEffective flashesHigh utility contribution

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 Twistzz 93% playstyle similarity

Most alike: opening-fight frequency, 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 28% 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

Aim7.9

Positioning4.6

Utility7.5

Mechanics5.9

Opening Duels2.3

Win Impact6.1

Composite 6.4/10 (Solid), 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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time511ms−86ms

first ⅓ avg 597ms → last ⅓ avg 511ms

Headshot accuracy20.0%−2.6%

first ⅓ avg 22.6% → last ⅓ avg 20.0%

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.

Highlights

0.18Best rating — overpass 9–5

13–1Biggest win — ancient

9Longest win streak

14–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 79% over 19dust2Weakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	19	11–8	58%	-0.01
inferno	A	19	12–7	63%	0.02
ancient	S	19	15–4	79%	0.02
mirage	B	14	7–7	50%	0.00
dust2	B	11	5–6	45%	-0.01
overpass	S	7	5–2	71%	0.03
cache	A	5	3–2	60%	-0.01
nuke	A	5	3–2	60%	0.02
vertigo	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,749Matches

57%Win rate

1.11Avg K/D

78.4ADR

49%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

17Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	364	53%	1.10	15.2
Ancient	345	58%	1.09	15.6
Anubis	283	62%	1.04	15.1
Dust2	282	55%	1.08	15.5
Inferno	219	52%	1.18	15.3
Nuke	170	51%	1.04	15.4
Overpass	139	63%	1.17	16.4
Train	72	62%	1.10	15.7

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.

20.0%Headshot accuracy

35.2%Accuracy (enemy spotted)

39.2%Spray accuracy

76.5%Counter-strafing

9.5°Preaim

509msReaction time

27.8%T opening success

48.0%CT opening success

0.71Enemies flashed / flash

12.3%Flash assists

12.12HE damage / grenade

10.74Flashes / 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 27.7748% — 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.

45% win rate across 11 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
anubis	13–10	-0.00	34%	19 Aug →
inferno	7–13	-0.01	23%	13 Aug →
ancient	4–13	-0.03	21%	13 Aug →
dust2	9–13	-0.05	22%	10 Aug →
cache	4–13	-0.07	25%	10 Aug →
ancient	16–14	-0.02	15%	9 Aug →
dust2	5–13	-0.06	18%	9 Aug →
cache	6–13	-0.02	35%	9 Aug →
inferno	13–7	0.10	26%	7 Aug →
mirage	5–13	-0.01	21%	29 Jul →
anubis	6–13	-0.05	14%	27 Jul →
cache	13–8	0.02	15%	24 Jul →
inferno	8–13	0.03	23%	15 Jun →
ancient	13–1	0.05	11%	7 Jun →
dust2	13–7	0.04	16%	7 Jun →
overpass	9–13	-0.01	25%	28 May →
anubis	13–4	0.01	14%	26 May →
dust2	5–13	-0.01	31%	17 May →
cache	13–8	0.03	12%	17 May →
anubis	13–6	-0.02	10%	17 May →
anubis	6–13	0.00	21%	16 May →
inferno	16–12	-0.04	12%	16 May →
dust2	5–13	-0.06	12%	15 May →
cache	13–11	-0.01	26%	15 May →
mirage	16–14	-0.04	19%	15 May →
nuke	10–13	-0.01	18%	14 May →
inferno	13–5	0.10	20%	1 May →
mirage	13–8	-0.01	27%	1 May →
ancient	13–3	0.07	17%	11 Apr →
nuke	13–6	0.03	16%	11 Apr →
inferno	7–13	-0.02	17%	11 Apr →
inferno	8–13	-0.05	9%	2 Apr →
inferno	7–13	0.02	37%	25 Mar →
mirage	10–13	0.04	17%	8 Mar →
inferno	13–7	0.07	23%	2 Mar →
dust2	13–6	0.05	25%	23 Feb →
inferno	13–9	-0.03	11%	21 Feb →
nuke	10–13	0.02	22%	21 Feb →
inferno	2–13	-0.01	14%	17 Feb →
overpass	13–4	-0.01	21%	15 Feb →
dust2	9–13	0.01	27%	13 Feb →
inferno	13–10	0.06	17%	13 Feb →
nuke	13–10	0.04	25%	10 Feb →
anubis	16–19	0.01	12%	21 Jan →
mirage	9–13	0.01	14%	20 Jan →
mirage	13–8	0.04	38%	17 Dec →
inferno	4–13	0.00	18%	8 Nov →
mirage	7–13	-0.05	11%	11 Oct →
dust2	13–11	-0.00	16%	3 Oct →
mirage	13–11	0.05	22%	21 Sept →
overpass	13–10	0.01	6%	17 Sept →
overpass	13–10	-0.00	12%	7 Sept →
inferno	13–8	0.06	19%	23 Aug →
anubis	3–13	-0.03	11%	22 Jun →
anubis	13–8	0.09	25%	10 Jun →
nuke	13–8	0.02	25%	13 May →
ancient	13–10	0.02	19%	1 May →
inferno	9–5	0.15	30%	21 Apr →
dust2	13–11	0.02	21%	20 Apr →
ancient	13–11	-0.04	28%	20 Apr →
anubis	13–4	-0.03	5%	26 Jan →
anubis	13–11	-0.01	22%	10 Jan →
ancient	5–13	-0.04	28%	29 Dec →
overpass	9–5	0.18	13%	22 Dec →
dust2	11–13	-0.04	13%	2 Dec →
ancient	13–3	0.04	24%	24 Nov →
dust2	13–9	-0.02	17%	11 Nov →
ancient	13–9	0.05	23%	11 Nov →
inferno	13–10	0.03	15%	13 Oct →
ancient	13–10	-0.02	13%	14 Sept →
ancient	13–3	0.07	28%	14 Sept →
mirage	13–8	0.01	29%	14 Sept →
inferno	13–11	-0.00	15%	5 Sept →
vertigo	13–11	-0.05	28%	20 May →
mirage	6–13	0.00	21%	20 May →
mirage	11–13	-0.05	20%	29 Apr →
ancient	13–8	-0.06	19%	21 Apr →
anubis	13–10	0.02	25%	16 Apr →
anubis	10–13	-0.03	16%	13 Apr →
ancient	16–19	-0.06	28%	11 Apr →
overpass	11–13	0.02	19%	11 Apr →
ancient	9–13	-0.04	18%	8 Apr →
anubis	8–13	-0.04	28%	4 Apr →
anubis	13–8	-0.00	28%	3 Apr →
anubis	13–1	-0.03	35%	3 Apr →
anubis	13–10	0.04	21%	3 Apr →
overpass	19–17	0.01	0%	15 Mar →
ancient	19–17	0.02	27%	10 Mar →
mirage	16–14	0.02	25%	9 Mar →
ancient	13–6	0.13	34%	9 Mar →
anubis	6–13	-0.08	19%	9 Mar →
ancient	13–3	0.09	43%	9 Mar →
inferno	13–9	-0.02	26%	8 Mar →
ancient	13–3	0.13	25%	8 Mar →
anubis	13–7	-0.05	12%	8 Mar →
mirage	13–9	0.00	16%	8 Mar →
ancient	13–7	0.01	13%	8 Mar →
anubis	11–13	0.02	37%	8 Mar →
mirage	10–13	0.02	21%	7 Mar →
inferno	13–11	-0.01	20%	7 Mar →