striickz — CS2 Stats

76561198408484433[U:1:448218705]

597Tracked matches57%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning58

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLWWWLWWLWL

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

Player DNA

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

Aim8.7

Aggression8.2

Utility4.0

Positioning5.8

Opening Duels3.9

Clutch8.2

Sharp aimerStrong CT-side openerReliable in 1v1s

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 ropz 92% playstyle similarity

Most alike: positioning profile, 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.

Areas to improve

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 54% on CT to 37% 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

Positioning5.8

Utility4.0

Mechanics7.4

Opening Duels3.9

Win Impact7.4

Composite 6.6/10 (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 rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time541ms−3ms

first ⅓ avg 545ms → last ⅓ avg 541ms

Headshot accuracy24.7%−0.2%

first ⅓ avg 24.9% → last ⅓ avg 24.7%

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

0.19Best rating — cache 13–9

13–0Biggest win — inferno

4Longest win streak

8–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 80% over 5mirageWeakest map · 33% over 24

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	24	8–16	33%	0.02
dust2	C	16	6–10	38%	0.02
cache	S	13	9–4	69%	0.07
ancient	C	11	4–7	36%	0.07
inferno	C	9	4–5	44%	0.03
nuke	A	8	5–3	63%	0.01
train	S	7	5–2	71%	0.06
vertigo	S	6	4–2	67%	0.09
anubis	S	5	4–1	80%	0.05
overpass	—	1	0–1	0%	0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

62Matches

68%Win rate

1.80Avg K/D

89.3ADR

59%Headshot %

Clutches & streaks

61%1v1 clutch win

25%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	70%	1.93	17.3
Dust2	8	38%	1.60	18.0
Anubis	6	67%	1.57	20.3
Ancient	6	83%	1.71	16.5
Nuke	5	60%	1.58	21.0
Inferno	5	60%	2.13	14.2
Cache	4	100%	1.66	19.0
Vertigo	1	100%	1.60	16.0

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.

23.2%Headshot accuracy

36.7%Accuracy (enemy spotted)

42.8%Spray accuracy

83.3%Counter-strafing

8.7°Preaim

549msReaction time

37.1%T opening success

54.0%CT opening success

0.49Enemies flashed / flash

4.9%Flash assists

8.92HE damage / grenade

7.21Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4891 — below the 0.5 mark we flag
Grenade Lineups →
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 37.1197% — 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.

33% win rate across 24 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
ancient	7–13	-0.01	17%	28 Aug →
anubis	19–16	-0.02	13%	25 Aug →
mirage	16–14	0.01	23%	23 Aug →
cache	13–6	-0.00	27%	22 Aug →
mirage	1–13	-0.09	6%	21 Aug →
cache	13–5	0.06	26%	21 Aug →
mirage	13–11	0.03	19%	21 Aug →
ancient	10–13	0.08	21%	21 Aug →
nuke	13–6	0.04	28%	20 Aug →
nuke	0–3	-0.02	0%	20 Aug →
dust2	3–13	-0.07	29%	20 Aug →
mirage	12–12	0.07	26%	20 Aug →
cache	4–6	-0.03	80%	20 Aug →
mirage	13–1	0.10	37%	17 Aug →
dust2	2–13	-0.03	35%	14 Aug →
mirage	13–10	0.05	32%	10 Aug →
ancient	12–12	0.04	23%	7 Aug →
nuke	13–11	0.01	35%	7 Aug →
nuke	5–13	-0.07	19%	6 Aug →
dust2	2–13	0.01	22%	6 Aug →
mirage	13–9	0.01	15%	6 Aug →
vertigo	13–11	0.16	24%	6 Aug →
mirage	5–13	-0.03	17%	4 Aug →
ancient	13–7	0.11	19%	4 Aug →
dust2	5–13	-0.00	24%	4 Aug →
dust2	5–13	0.03	20%	29 Jul →
inferno	13–0	0.16	21%	29 Jul →
nuke	13–9	0.00	22%	29 Jul →
anubis	13–10	0.03	14%	29 Jul →
dust2	13–4	0.05	22%	28 Jul →
mirage	11–13	-0.02	36%	27 Jul →
cache	9–13	0.11	30%	27 Jul →
mirage	9–13	0.00	34%	22 Jul →
nuke	16–12	0.02	29%	21 Jul →
cache	13–7	0.10	42%	21 Jul →
anubis	6–13	-0.02	41%	21 Jul →
dust2	7–13	0.06	30%	13 Jul →
cache	13–8	0.09	27%	13 Jul →
inferno	4–13	0.01	26%	10 Jul →
dust2	13–6	0.02	18%	10 Jul →
mirage	8–13	-0.02	29%	10 Jul →
dust2	3–13	0.02	23%	9 Jul →
cache	13–2	0.17	28%	9 Jul →
inferno	3–13	-0.02	46%	9 Jul →
dust2	13–10	0.07	20%	9 Jul →
inferno	6–13	0.05	38%	8 Jul →
overpass	7–13	0.13	36%	8 Jul →
mirage	13–11	-0.00	27%	7 Jul →
cache	4–13	-0.05	46%	7 Jul →
anubis	13–2	0.12	29%	6 Jul →
inferno	13–11	0.06	30%	6 Jul →
cache	13–3	0.14	38%	6 Jul →
dust2	2–13	0.02	32%	6 Jul →
cache	5–13	-0.06	35%	5 Jul →
anubis	13–10	0.15	23%	5 Jul →
vertigo	13–6	0.15	40%	5 Jul →
mirage	1–13	-0.05	17%	4 Jul →
dust2	10–13	0.02	17%	4 Jul →
dust2	13–2	0.05	24%	4 Jul →
mirage	10–13	-0.03	29%	4 Jul →
train	11–13	0.02	27%	3 Jul →
cache	13–4	0.09	30%	3 Jul →
mirage	2–13	0.04	31%	3 Jul →
inferno	2–13	-0.05	19%	2 Jul →
cache	13–9	0.19	36%	1 Jul →
cache	13–1	0.08	50%	18 Jun →
mirage	13–10	0.03	33%	18 Jun →
mirage	11–13	0.05	31%	8 Jun →
nuke	13–7	0.04	30%	1 Apr →
train	13–9	0.11	24%	27 Mar →
vertigo	9–3	0.08	19%	27 Mar →
ancient	9–13	0.01	13%	26 Mar →
ancient	8–13	0.06	24%	23 Mar →
mirage	10–13	0.04	26%	23 Mar →
inferno	13–11	0.09	33%	13 Mar →
dust2	3–13	-0.10	27%	13 Mar →
train	13–9	0.01	16%	3 Mar →
train	13–11	0.04	27%	23 Feb →
ancient	13–9	0.11	19%	22 Feb →
train	3–13	0.07	28%	13 Feb →
mirage	13–5	0.10	31%	13 Feb →
train	13–5	0.02	23%	3 Feb →
mirage	1–7	0.08	26%	3 Feb →
inferno	5–9	-0.09	23%	31 Jan →
ancient	10–13	0.04	15%	31 Jan →
vertigo	8–8	0.11	29%	31 Jan →
inferno	9–5	0.10	38%	31 Jan →
ancient	13–7	0.13	25%	25 Jan →
mirage	12–12	0.10	33%	23 Jan →
ancient	13–8	0.07	24%	20 Jan →
train	13–0	0.12	18%	19 Jan →
mirage	3–13	-0.02	26%	19 Jan →
dust2	13–5	0.10	31%	16 Jan →
mirage	8–13	-0.02	22%	15 Jan →
nuke	7–13	0.02	19%	15 Jan →
vertigo	13–10	0.03	25%	13 Jan →
dust2	13–8	0.09	29%	13 Jan →
mirage	7–13	0.08	25%	13 Jan →
ancient	11–13	0.08	15%	12 Jan →
vertigo	5–13	0.04	29%	12 Jan →