Metr1ckZ — CS2 Stats

FR76561198980987936[U:1:1020722208]Steam profile ↗

3,185Tracked matches57%Win rate2020Tracked since

CSDB Rating6.3 SolidHybrid Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim89

Positioning45

Utility54

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWLWLWWLWWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.9

Aggression6.2

Utility5.4

Positioning4.5

Opening Duels1.4

Clutch3.0

Sharp aimerStrong 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 Twistzz 91% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

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 47% on CT to 24% 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

Aim8.9

Positioning4.5

Utility5.4

Mechanics6.6

Opening Duels2.2

Win Impact7.2

Composite 6.3/10 (Solid), 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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time450ms−84ms

first ⅓ avg 534ms → last ⅓ avg 450ms

Headshot accuracy15.7%−2.5%

first ⅓ avg 18.2% → last ⅓ avg 15.7%

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

0.39Best rating — anubis 6–0

13–0Biggest win — ancient

13Longest win streak

6–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 56% over 9mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	48	23–25	48%	-0.00
inferno	A	20	11–9	55%	-0.00
cache	B	13	7–6	54%	-0.00
anubis	A	9	5–4	56%	0.07
mirage	D	5	1–4	20%	-0.01
ancient	—	3	3–0	100%	0.03
overpass	—	1	1–0	100%	0.04
nuke	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

742Matches

59%Win rate

1.18Avg K/D

88.8ADR

35%Headshot %

Clutches & streaks

35%1v1 clutch win

26%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	96	66%	1.29	16.7
Anubis	90	62%	1.22	16.4
Inferno	63	67%	1.32	17.7
Ancient	31	68%	1.24	16.7
Mirage	19	53%	1.44	16.2
Vertigo	12	42%	0.99	15.9
Nuke	11	73%	1.05	14.6
Train	8	75%	1.86	21.0

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.

16.4%Headshot accuracy

36.6%Accuracy (enemy spotted)

38.8%Spray accuracy

79.8%Counter-strafing

5.5°Preaim

471msReaction time

24.0%T opening success

47.4%CT opening success

0.53Enemies flashed / flash

5.3%Flash assists

6.55HE damage / grenade

6.92Flashes / 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 24.0435% — below the 40% mark we flag

Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–7	-0.02	16%	25 Aug →
dust2	2–13	-0.05	13%	25 Aug →
anubis	13–9	-0.05	12%	25 Aug →
cache	14–16	-0.01	24%	25 Aug →
overpass	13–9	0.04	23%	23 Aug →
ancient	13–3	0.01	22%	23 Aug →
dust2	3–13	-0.09	9%	23 Aug →
anubis	13–11	0.01	28%	23 Aug →
ancient	13–0	0.06	10%	23 Aug →
inferno	13–11	0.02	20%	22 Aug →
anubis	5–13	0.06	18%	22 Aug →
dust2	5–2	-0.02	0%	22 Aug →
cache	13–6	-0.05	13%	22 Aug →
dust2	8–13	-0.08	3%	22 Aug →
mirage	11–13	-0.00	15%	22 Aug →
inferno	13–9	0.00	23%	22 Aug →
dust2	6–13	-0.04	15%	22 Aug →
anubis	8–13	-0.01	12%	22 Aug →
dust2	13–11	0.03	17%	21 Aug →
anubis	11–13	0.07	13%	20 Aug →
dust2	6–13	-0.04	6%	20 Aug →
dust2	13–6	-0.11	15%	20 Aug →
dust2	11–13	0.04	8%	19 Aug →
inferno	13–5	-0.03	11%	19 Aug →
inferno	13–4	0.01	25%	19 Aug →
dust2	13–9	0.06	29%	18 Aug →
inferno	4–13	0.02	12%	18 Aug →
inferno	13–6	0.03	25%	18 Aug →
dust2	1–13	-0.01	13%	18 Aug →
cache	13–4	0.11	20%	17 Aug →
cache	13–8	0.02	25%	17 Aug →
inferno	5–13	0.00	23%	17 Aug →
inferno	0–13	-0.06	0%	17 Aug →
cache	2–13	-0.03	11%	17 Aug →
dust2	13–6	0.05	19%	17 Aug →
inferno	8–13	0.01	14%	17 Aug →
inferno	5–13	-0.02	25%	17 Aug →
dust2	13–3	0.09	25%	17 Aug →
dust2	0–3	-0.04	0%	11 Aug →
dust2	4–13	-0.08	3%	11 Aug →
dust2	1–13	-0.01	16%	11 Aug →
dust2	13–3	0.22	20%	10 Aug →
dust2	10–13	0.03	12%	9 Aug →
cache	8–13	0.01	12%	8 Aug →
dust2	13–10	0.11	18%	8 Aug →
cache	1–13	-0.02	7%	8 Aug →
dust2	13–9	0.05	15%	8 Aug →
inferno	13–6	0.07	12%	4 Aug →
cache	8–13	-0.03	14%	4 Aug →
anubis	13–4	0.15	13%	4 Aug →
dust2	3–13	0.03	16%	4 Aug →
dust2	0–13	-0.06	9%	3 Aug →
inferno	13–4	0.01	10%	3 Aug →
inferno	9–13	0.04	16%	2 Aug →
dust2	7–13	-0.02	23%	2 Aug →
dust2	5–13	-0.03	15%	2 Aug →
dust2	8–13	-0.02	22%	1 Aug →
dust2	13–9	-0.01	19%	1 Aug →
dust2	13–8	-0.05	28%	31 Jul →
inferno	13–0	-0.03	30%	30 Jul →
mirage	4–13	-0.06	23%	30 Jul →
dust2	0–13	0.00	0%	29 Jul →
dust2	13–7	0.04	16%	29 Jul →
dust2	9–13	-0.06	36%	26 Jul →
dust2	13–10	-0.05	18%	23 Jul →
inferno	3–13	-0.10	24%	23 Jul →
cache	13–11	0.00	15%	23 Jul →
inferno	11–13	-0.02	20%	22 Jul →
cache	13–4	-0.01	26%	22 Jul →
dust2	6–13	0.03	21%	22 Jul →
mirage	10–13	0.01	10%	21 Jul →
cache	9–13	-0.02	13%	20 Jul →
anubis	6–0	0.39	12%	20 Jul →
nuke	2–13	-0.06	25%	20 Jul →
dust2	13–4	-0.04	11%	20 Jul →
dust2	2–13	0.00	23%	18 Jul →
dust2	0–13	-0.05	0%	18 Jul →
dust2	13–3	0.03	18%	6 Jul →
dust2	13–3	0.11	24%	6 Jul →
anubis	13–11	0.01	12%	6 Jul →
dust2	13–6	-0.05	12%	5 Jul →
mirage	13–2	0.02	30%	28 Jun →
dust2	13–7	0.01	18%	28 Jun →
dust2	13–6	-0.04	21%	25 Jun →
cache	13–4	0.03	24%	25 Jun →
inferno	13–5	0.01	24%	25 Jun →
dust2	13–8	0.01	15%	25 Jun →
inferno	13–7	0.01	25%	24 Jun →
ancient	13–5	0.00	12%	24 Jun →
cache	13–2	0.00	0%	24 Jun →
dust2	11–13	-0.08	12%	23 Jun →
dust2	1–13	-0.03	30%	23 Jun →
inferno	7–13	-0.05	22%	23 Jun →
anubis	2–13	-0.02	23%	23 Jun →
mirage	4–13	-0.03	22%	22 Jun →
dust2	12–12	0.00	16%	21 Jun →
dust2	13–11	0.01	18%	21 Jun →
dust2	13–10	0.01	13%	21 Jun →
dust2	11–13	-0.02	28%	21 Jun →
dust2	13–8	-0.00	22%	21 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches13-Win Streak

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