marcin znowu roisz — CS2 Stats

76561198377127112[U:1:416861384]

4,309Tracked matches48%Win rate2020Tracked since

CSDB Rating5.8 SolidPassive Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim78

Positioning48

Utility59

0–100 skill scores via Leetify.

Recent form

COLD53–39–8Last 10053%Win rateLLWLLTWLWT

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim7.8

Aggression4.3

Utility5.9

Positioning4.8

Opening Duels2.0

Clutch2.8

Strong 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 NiKo 92% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim7.8

Positioning4.8

Utility5.9

Mechanics6.6

Opening Duels2.0

Win Impact4.3

Composite 5.8/10 (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-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time599ms−13ms

first ⅓ avg 612ms → last ⅓ avg 599ms

Headshot accuracy29.6%+3.2%

first ⅓ avg 26.4% → last ⅓ avg 29.6%

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

0.13Best rating — vertigo 13–4

13–0Biggest win — ancient

5Longest win streak

L2Current streak

8–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 83% over 6vertigoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	29	15–14	52%	-0.01
cache	A	25	14–11	56%	-0.01
anubis	C	10	4–6	40%	0.01
mirage	B	8	4–4	50%	-0.03
inferno	A	7	4–3	57%	-0.04
nuke	S	6	5–1	83%	0.01
vertigo	D	6	2–4	33%	0.00
dust2	A	5	3–2	60%	0.01
train	—	2	1–1	50%	0.05
overpass	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

431Matches

58%Win rate

1.19Avg K/D

71.6ADR

50%Headshot %

Clutches & streaks

34%1v1 clutch win

16%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	44	73%	0.91	14.2
Mirage	26	62%	0.95	13.4
Anubis	26	54%	0.84	12.6
Dust2	17	29%	0.98	13.8
Vertigo	15	60%	0.95	15.0
Inferno	11	36%	0.94	14.7
Nuke	6	83%	0.76	11.2
Overpass	2	50%	0.60	10.0

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.

29.3%Headshot accuracy

32.2%Accuracy (enemy spotted)

36.9%Spray accuracy

79.8%Counter-strafing

9.4°Preaim

612msReaction time

30.1%T opening success

45.6%CT opening success

0.65Enemies flashed / flash

6.6%Flash assists

8.68HE damage / grenade

9.44Flashes / 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 30.0896% — below the 40% mark we flag

Spend your practice time on Vertigo

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 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	10–13	-0.04	26%	27 Aug →
mirage	10–13	-0.02	30%	27 Aug →
ancient	13–3	0.07	47%	26 Aug →
cache	6–13	-0.00	28%	26 Aug →
mirage	7–6	-0.10	13%	25 Aug →
train	12–12	0.00	37%	24 Aug →
nuke	13–8	0.12	68%	24 Aug →
inferno	3–4	-0.11	33%	21 Aug →
ancient	13–11	-0.03	25%	20 Aug →
cache	12–12	-0.08	18%	20 Aug →
dust2	2–5	0.08	33%	19 Aug →
mirage	13–10	-0.04	46%	16 Aug →
nuke	13–4	0.05	39%	14 Aug →
anubis	11–13	-0.02	28%	9 Aug →
ancient	15–15	0.00	21%	25 Jul →
cache	15–15	0.00	37%	25 Jul →
cache	13–1	-0.02	18%	25 Jul →
anubis	13–10	0.07	25%	25 Jul →
vertigo	13–4	0.13	33%	3 Jul →
cache	1–13	-0.11	28%	3 Jul →
ancient	13–4	-0.06	33%	3 Jul →
inferno	2–13	0.00	26%	27 Jun →
cache	13–10	-0.03	23%	27 Jun →
nuke	16–14	-0.04	25%	14 Jun →
inferno	13–9	-0.04	32%	12 Jun →
ancient	15–15	-0.02	22%	31 May →
vertigo	5–13	-0.03	24%	31 May →
anubis	9–13	0.05	16%	30 May →
vertigo	6–13	-0.10	10%	30 May →
ancient	3–13	-0.01	29%	30 May →
anubis	8–13	0.03	19%	29 May →
anubis	13–9	0.04	33%	27 May →
cache	13–3	0.08	50%	27 May →
ancient	13–4	-0.01	29%	27 May →
ancient	1–10	-0.07	30%	25 May →
cache	12–12	0.03	29%	25 May →
ancient	15–15	-0.02	24%	24 May →
inferno	13–11	-0.03	15%	24 May →
cache	5–13	-0.02	38%	23 May →
ancient	10–13	-0.02	23%	23 May →
ancient	0–8	-0.08	29%	23 May →
ancient	0–4	-0.12	0%	23 May →
anubis	13–11	-0.03	26%	23 May →
nuke	13–11	0.04	33%	23 May →
ancient	13–6	0.05	31%	23 May →
anubis	15–15	0.07	23%	23 May →
ancient	13–9	0.03	45%	22 May →
mirage	13–8	0.06	38%	22 May →
inferno	13–8	0.01	33%	22 May →
cache	13–2	0.00	100%	22 May →
ancient	13–9	-0.02	32%	22 May →
cache	0–5	-0.05	25%	22 May →
ancient	13–0	0.00	33%	19 May →
cache	13–7	-0.02	63%	19 May →
nuke	13–8	-0.06	28%	19 May →
anubis	4–13	-0.05	19%	19 May →
ancient	13–7	-0.03	14%	19 May →
mirage	13–6	-0.04	21%	19 May →
mirage	13–7	-0.02	28%	19 May →
dust2	16–13	-0.06	27%	19 May →
cache	13–6	-0.03	31%	17 May →
ancient	0–5	0.02	20%	17 May →
ancient	2–13	-0.03	26%	16 May →
overpass	13–7	-0.04	16%	16 May →
cache	5–13	-0.05	19%	16 May →
ancient	13–1	-0.05	13%	16 May →
train	13–2	0.09	57%	16 May →
ancient	9–13	-0.02	17%	13 May →
cache	9–13	-0.02	29%	13 May →
ancient	7–13	-0.02	12%	11 May →
cache	13–3	0.11	32%	11 May →
vertigo	13–11	-0.02	27%	11 May →
ancient	13–7	0.06	26%	11 May →
cache	13–9	-0.03	21%	11 May →
ancient	6–7	-0.02	37%	11 May →
overpass	5–13	-0.02	13%	10 May →
dust2	13–3	0.02	39%	10 May →
anubis	13–5	0.02	33%	10 May →
nuke	8–13	-0.07	10%	10 May →
vertigo	6–13	-0.06	16%	10 May →
inferno	2–13	-0.09	24%	10 May →
mirage	9–13	-0.07	31%	10 May →
anubis	10–13	-0.04	32%	10 May →
ancient	4–0	0.01	0%	10 May →
cache	13–8	-0.00	9%	10 May →
dust2	2–3	-0.03	21%	10 May →
cache	13–7	0.02	14%	9 May →
ancient	13–10	-0.01	22%	9 May →
cache	13–5	0.05	22%	9 May →
cache	13–10	-0.01	16%	9 May →
ancient	13–0	0.11	21%	9 May →
cache	4–4	-0.11	100%	3 May →
cache	7–13	-0.05	26%	3 May →
ancient	4–4	0.04	27%	3 May →
dust2	13–8	0.04	41%	3 May →
cache	13–11	0.08	39%	3 May →
inferno	13–7	-0.01	22%	3 May →
mirage	8–13	-0.02	42%	3 May →
vertigo	10–13	0.08	21%	3 May →
cache	13–6	0.03	30%	3 May →