Szmycki — CS2 Stats

CZ76561198297620866[U:1:337355138]Steam profile ↗✓ No bans

391Tracked matches50%Win rate2020Tracked since

CSDB Rating4.8 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning54

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateWLWWLWLLLW

Last 10 vs previous 10: +20pp win rate · +0.07 avg rating

Player DNA

Aim5.1

Aggression7.4

Utility3.3

Positioning5.4

Opening Duels4.0

Clutch6.2

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 653ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.1

Positioning5.4

Utility3.3

Mechanics5.6

Opening Duels4.0

Win Impact5.0

Composite 4.8/10 (Developing), 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 rating0.01+0.03

first ⅓ avg -0.02 → last ⅓ avg 0.01

Reaction time648ms−10ms

first ⅓ avg 658ms → last ⅓ avg 648ms

Headshot accuracy20.7%−6.3%

first ⅓ avg 27.0% → last ⅓ avg 20.7%

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

0.21Best rating — nuke 8–8

13–1Biggest win — dust2

6Longest win streak

10–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 50% over 22ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	33	16–17	48%	-0.01
dust2	B	22	11–11	50%	0.00
nuke	C	14	6–8	43%	-0.00
inferno	D	12	4–8	33%	-0.01
ancient	D	10	3–7	30%	-0.01
train	—	4	1–3	25%	-0.03
overpass	—	4	0–4	0%	-0.04
vertigo	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

65Matches

49%Win rate

1.32Avg K/D

90.8ADR

54%Headshot %

Clutches & streaks

51%1v1 clutch win

29%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	20	45%	1.12	17.4
Anubis	13	54%	1.69	17.3
Dust2	12	67%	1.28	17.2
Inferno	6	50%	1.29	18.2
Nuke	5	40%	1.20	22.4
Ancient	2	50%	1.38	22.5
Vertigo	1	100%	3.67	11.0

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.

20.8%Headshot accuracy

30.4%Accuracy (enemy spotted)

32.5%Spray accuracy

75.3%Counter-strafing

10.7°Preaim

653msReaction time

37.2%T opening success

54.9%CT opening success

0.36Enemies flashed / flash

6.6%Flash assists

8.41HE damage / grenade

6.67Flashes / 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 0.3592 — 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 37.2281% — 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.

30% win rate across 10 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
nuke	16–14	0.07	15%	22 Jun →
mirage	5–13	0.06	13%	22 Jun →
mirage	13–7	0.16	24%	21 Jun →
mirage	13–2	0.14	30%	19 Jun →
nuke	8–13	0.07	26%	21 Dec →
ancient	13–11	0.01	19%	29 Nov →
dust2	2–13	0.01	23%	28 Nov →
nuke	9–13	-0.04	14%	28 Nov →
mirage	10–13	-0.02	16%	28 Nov →
nuke	9–5	0.04	14%	27 Nov →
ancient	13–8	-0.01	13%	27 Nov →
mirage	13–11	0.02	17%	27 Nov →
inferno	8–13	0.05	27%	27 Nov →
vertigo	2–4	-0.06	16%	26 Nov →
ancient	15–15	0.01	29%	26 Nov →
mirage	13–8	-0.06	11%	25 Nov →
mirage	5–13	-0.03	41%	25 Nov →
dust2	15–15	-0.01	14%	24 Nov →
dust2	4–13	-0.05	9%	24 Nov →
mirage	8–13	-0.03	29%	24 Nov →
dust2	13–2	0.11	38%	24 Nov →
nuke	4–9	-0.09	25%	24 Nov →
mirage	13–10	-0.00	31%	24 Nov →
dust2	13–10	0.01	14%	23 Nov →
train	4–13	-0.05	23%	23 Nov →
dust2	13–5	0.01	19%	23 Nov →
mirage	7–1	0.03	17%	23 Nov →
ancient	3–13	-0.03	21%	23 Nov →
nuke	3–13	-0.06	26%	23 Nov →
mirage	13–10	-0.00	23%	23 Nov →
mirage	13–3	0.12	19%	23 Nov →
dust2	8–13	-0.02	13%	23 Nov →
inferno	13–6	0.06	14%	23 Nov →
ancient	10–13	-0.03	24%	12 Nov →
dust2	13–4	-0.04	42%	12 Nov →
nuke	5–13	0.02	35%	12 Nov →
dust2	13–10	0.06	24%	12 Nov →
mirage	6–13	-0.06	15%	11 Nov →
mirage	4–13	-0.03	31%	11 Nov →
mirage	13–7	0.09	26%	11 Nov →
mirage	15–15	-0.04	22%	10 Nov →
dust2	13–11	0.07	22%	10 Nov →
nuke	3–13	-0.03	31%	10 Nov →
nuke	13–7	-0.02	27%	10 Nov →
overpass	4–13	-0.08	31%	9 Nov →
mirage	13–11	0.08	30%	9 Nov →
inferno	7–13	-0.05	22%	9 Nov →
dust2	13–1	-0.01	22%	8 Nov →
mirage	8–13	-0.11	20%	8 Nov →
dust2	7–13	-0.00	57%	7 Nov →
inferno	5–13	0.01	31%	7 Nov →
ancient	13–10	0.03	28%	6 Nov →
ancient	9–13	-0.04	27%	6 Nov →
train	2–13	-0.02	24%	6 Nov →
dust2	6–13	-0.01	27%	6 Nov →
ancient	15–15	0.04	15%	6 Nov →
ancient	8–13	-0.06	18%	5 Nov →
inferno	10–13	-0.02	24%	5 Nov →
dust2	8–13	-0.05	23%	5 Nov →
nuke	13–6	-0.02	34%	5 Nov →
train	4–13	-0.05	19%	5 Nov →
nuke	5–13	-0.08	19%	5 Nov →
mirage	4–13	-0.03	18%	5 Nov →
mirage	2–13	-0.07	18%	5 Nov →
inferno	3–9	0.04	24%	5 Nov →
dust2	13–11	0.05	31%	4 Nov →
mirage	0–13	-0.04	37%	4 Nov →
dust2	2–13	-0.10	25%	4 Nov →
nuke	13–7	-0.05	16%	3 Nov →
inferno	2–0	0.01	100%	3 Nov →
mirage	13–7	0.04	30%	3 Nov →
mirage	11–13	-0.08	36%	3 Nov →
mirage	7–13	-0.05	21%	2 Nov →
overpass	11–13	-0.04	22%	1 Nov →
inferno	13–3	0.06	23%	1 Nov →
mirage	13–10	0.02	33%	1 Nov →
dust2	13–5	0.02	16%	1 Nov →
inferno	13–10	-0.04	26%	1 Nov →
train	13–7	0.01	24%	31 Oct →
dust2	13–7	-0.01	29%	31 Oct →
dust2	10–13	0.01	20%	31 Oct →
nuke	8–8	0.21	33%	31 Oct →
inferno	5–9	-0.15	17%	31 Oct →
mirage	6–13	0.02	14%	30 Oct →
mirage	5–13	-0.10	14%	30 Oct →
dust2	13–9	0.02	24%	29 Oct →
mirage	13–11	-0.07	22%	29 Oct →
mirage	13–9	0.02	19%	28 Oct →
mirage	6–13	-0.07	26%	28 Oct →
nuke	13–11	-0.05	41%	27 Oct →
dust2	13–16	0.03	25%	24 Oct →
inferno	6–13	-0.12	46%	23 Oct →
mirage	6–13	-0.01	21%	23 Oct →
ancient	7–13	0.00	8%	21 Oct →
mirage	13–11	-0.03	30%	21 Oct →
overpass	10–13	0.02	26%	21 Oct →
dust2	4–13	-0.08	23%	20 Oct →
overpass	5–13	-0.06	33%	20 Oct →
inferno	12–12	-0.00	20%	19 Oct →
mirage	7–1	-0.02	29%	19 Oct →