Sebastian Żmuda — CS2 Stats

YE76561198200896194[U:1:240630466]Steam profile ↗✓ No bans

1,616Tracked matches50%Win rate2020Tracked since

2,660Hours in CS

CSDB Rating6.1 SolidSupport

Premier CS Rating23,707Pink band · top ~4.4% of ranked players (population est.)

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning45

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWWLLWLWWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +1.1pp headshot accuracy · +12ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 21%
Avg reaction 592ms

Last 10

5–5 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 16%
Avg reaction 564ms

Last 20

9–11 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 16%
Avg reaction 558ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3.5 against its own average).

Aim7.3

Utility7.3

Positioning4.5

Opening Duels0.0

Clutch3.4

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Areas to improve

Reaction time. 584ms 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

Aim7.3

Positioning4.5

Utility7.3

Mechanics7.5

Opening Duels1.5

Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time585ms−51ms

first ⅓ avg 636ms → last ⅓ avg 585ms

Headshot accuracy15.9%−2.6%

first ⅓ avg 18.4% → last ⅓ avg 15.9%

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.

Personal bests

0.25Best match rating · 9–2 · nuke, 21 Aug →

50%Best headshot accuracy · 1–13 · dust2, 17 Sept →

250msFastest reaction time · 13–3 · mirage, 27 Aug →

13–1Biggest win · nuke, 23 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W2Current streak

4–15In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 67% over 6dust2Weakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	23	13–10	57%	0.03
cache	B	14	7–7	50%	0.01
inferno	A	14	9–5	64%	0.03
ancient	C	12	5–7	42%	0.03
anubis	A	11	6–5	55%	-0.00
dust2	D	9	2–7	22%	-0.03
mirage	S	6	4–2	67%	0.02
vertigo	—	4	2–2	50%	0.04
office	—	3	0–3	0%	-0.02
shelter	—	1	1–0	100%	0.00
train	—	1	1–0	100%	-0.04
stronghold	—	1	1–0	100%	-0.00
alpine	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

132,081Lifetime kills

1.00K/D

5,691Matches

43.3%Match win rate

43.2%Headshot %

15.2%Shot accuracy

13,659MVPs

2,660Hours (in match)

7,810Bombs planted

1,389Bombs defused

Most-used weapons

AK-4750,809

M4A4 / M4A1-S21,654

AWP15,826

P2000 / USP-S7,011

Desert Eagle5,036

Glock-184,312

P902,695

P2502,529

Tec-92,079

MAC-101,716

Lifetime map wins

7,316inferno

5,514dust2

4,559nuke

3,594train

2,359vertigo

1,825cbble

255office

161italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,376Matches

50%Win rate

1.17Avg K/D

79.2ADR

37%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	71	63%	1.53	17.0
Anubis	64	47%	1.10	14.4
Ancient	58	48%	1.15	16.7
Vertigo	46	54%	1.17	17.0
Inferno	36	39%	1.10	16.1
Mirage	33	45%	1.11	14.9
Dust2	19	26%	0.88	14.2
Overpass	9	33%	1.16	17.9

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.

15.5%Headshot accuracy

37.7%Accuracy (enemy spotted)

37.1%Spray accuracy

83.5%Counter-strafing

10.1°Preaim

584msReaction time

42.4%T opening success

28.9%CT opening success

0.75Enemies flashed / flash

11.1%Flash assists

10.56HE damage / grenade

10.43Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 28.9317% — 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.

22% win rate across 9 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
nuke	13–5	0.07	18%	18 Oct →
vertigo	13–6	0.01	34%	18 Oct →
mirage	9–13	0.04	16%	18 Oct →
ancient	10–13	-0.00	18%	15 Oct →
nuke	13–11	0.03	20%	15 Oct →
cache	7–13	-0.01	10%	11 Oct →
anubis	13–5	0.03	7%	11 Oct →
ancient	13–7	0.05	17%	11 Oct →
ancient	11–13	0.01	14%	8 Oct →
cache	14–16	0.03	11%	8 Oct →
anubis	9–13	-0.03	13%	6 Oct →
nuke	0–13	-0.06	14%	6 Oct →
nuke	11–13	0.05	13%	4 Oct →
nuke	10–13	0.02	29%	4 Oct →
vertigo	14–16	0.08	15%	29 Sept →
nuke	13–9	0.06	9%	29 Sept →
mirage	13–10	0.03	19%	27 Sept →
inferno	13–6	0.03	9%	27 Sept →
nuke	3–13	-0.09	24%	27 Sept →
nuke	13–10	0.12	8%	26 Sept →
dust2	13–10	-0.05	19%	26 Sept →
dust2	6–13	-0.04	10%	26 Sept →
inferno	2–13	-0.09	15%	26 Sept →
ancient	13–5	0.01	3%	26 Sept →
anubis	13–8	-0.01	16%	25 Sept →
nuke	13–8	0.11	9%	24 Sept →
inferno	10–13	-0.09	21%	24 Sept →
nuke	13–10	0.02	15%	24 Sept →
inferno	13–11	0.01	14%	23 Sept →
dust2	8–13	-0.04	28%	23 Sept →
inferno	13–7	0.06	20%	22 Sept →
cache	13–10	0.02	16%	22 Sept →
ancient	11–13	0.02	23%	22 Sept →
nuke	13–3	0.04	13%	22 Sept →
anubis	2–13	-0.09	3%	20 Sept →
nuke	13–10	0.09	10%	20 Sept →
ancient	14–16	-0.02	8%	20 Sept →
dust2	1–13	-0.07	50%	17 Sept →
mirage	11–13	-0.03	20%	17 Sept →
inferno	13–2	0.11	18%	15 Sept →
anubis	4–13	0.02	7%	15 Sept →
inferno	4–13	0.03	24%	14 Sept →
ancient	6–13	0.08	5%	14 Sept →
ancient	11–13	0.06	16%	14 Sept →
inferno	13–10	-0.04	31%	13 Sept →
ancient	6–13	0.03	15%	8 Sept →
nuke	2–13	-0.09	13%	7 Sept →
cache	5–13	-0.01	29%	7 Sept →
vertigo	13–7	0.02	26%	7 Sept →
inferno	13–2	0.01	15%	5 Sept →
anubis	7–13	0.01	20%	5 Sept →
dust2	6–13	-0.02	9%	4 Sept →
ancient	13–11	-0.01	15%	4 Sept →
vertigo	10–13	0.05	20%	4 Sept →
cache	13–6	0.03	30%	4 Sept →
ancient	13–9	0.02	13%	3 Sept →
inferno	11–13	-0.02	23%	3 Sept →
nuke	11–13	0.01	13%	28 Aug →
ancient	13–5	0.06	8%	28 Aug →
inferno	16–19	-0.02	17%	28 Aug →
mirage	13–3	0.14	31%	27 Aug →
cache	13–2	0.09	35%	27 Aug →
nuke	13–7	0.10	15%	27 Aug →
anubis	12–16	-0.07	10%	26 Aug →
nuke	11–13	-0.05	21%	26 Aug →
cache	11–13	-0.05	16%	21 Aug →
nuke	9–2	0.25	15%	21 Aug →
nuke	9–13	0.04	12%	20 Aug →
inferno	13–10	0.09	14%	20 Aug →
dust2	9–13	-0.08	12%	26 Jul →
office	4–13	-0.04	26%	25 Jul →
shelter	13–8	0.00	19%	25 Jul →
cache	13–7	0.02	6%	25 Jul →
anubis	13–9	-0.01	10%	23 Jul →
mirage	13–9	-0.03	19%	23 Jul →
nuke	13–1	-0.02	18%	23 Jul →
cache	10–13	0.00	24%	22 Jul →
anubis	13–9	-0.01	16%	21 Jul →
cache	2–13	-0.03	19%	20 Jul →
mirage	13–10	-0.03	11%	19 Jul →
nuke	2–9	-0.03	44%	17 Jul →
inferno	9–3	0.20	17%	17 Jul →
cache	13–8	-0.03	21%	13 Jul →
anubis	13–5	0.01	26%	13 Jul →
inferno	13–2	0.14	31%	13 Jul →
office	10–13	-0.04	31%	12 Jul →
dust2	11–13	0.02	21%	12 Jul →
cache	13–8	-0.02	14%	12 Jul →
cache	10–13	0.01	8%	12 Jul →
dust2	13–6	-0.02	19%	7 Jul →
nuke	13–10	-0.05	5%	7 Jul →
nuke	11–13	-0.02	18%	7 Jul →
train	13–5	-0.04	31%	7 Jul →
stronghold	13–11	-0.00	9%	7 Jul →
cache	13–4	0.06	28%	6 Jul →
alpine	12–12	0.07	18%	6 Jul →
office	11–13	0.02	6%	6 Jul →
dust2	12–16	-0.01	18%	6 Jul →
anubis	13–2	0.13	15%	6 Jul →
nuke	13–5	0.12	22%	6 Jul →