mordziatys — CS2 Stats

76561198351117344[U:1:390851616]Steam profile ↗

680Tracked matches57%Win rate2021Tracked since

2,183Hours in CS0Hrs last 2 wks

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating19,527Purple band · top ~10.4% of ranked players (population est.)

CSDB Leaderboard#8484 of 18017 tracked

FaceitLevel 7 · 1,437 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning45

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLWLWWWLLWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim7.7

Aggression5.1

Utility6.4

Positioning4.5

Opening Duels0.9

Clutch4.2

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 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim7.7

Positioning4.5

Utility6.4

Mechanics7.5

Opening Duels1.6

Win Impact7.2

Composite 6.2/10 (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 -0.01 → last ⅓ avg 0.02

Reaction time579ms−16ms

first ⅓ avg 595ms → last ⅓ avg 579ms

Headshot accuracy23.6%−0.8%

first ⅓ avg 24.4% → last ⅓ avg 23.6%

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

0.12Best rating — cache 13–5

13–2Biggest win — mirage

5Longest win streak

7–11In matches decided by ≤2 rounds

16Overtime games

Map breakdown

cacheBest map · 61% over 23ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	9–17	35%	-0.01
cache	A	23	14–9	61%	0.01
inferno	B	22	11–11	50%	-0.01
nuke	B	13	7–6	54%	0.00
ancient	D	5	1–4	20%	0.02
overpass	C	5	2–3	40%	0.02
mirage	—	3	1–2	33%	0.02
anubis	—	3	1–2	33%	-0.01

Across the last 100 tracked matches.

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

Lifetime stats

47,417Lifetime kills

0.92K/D

2,141Matches

48.1%Match win rate · Top 50% of tracked players

49.8%Headshot % · Top 50% of tracked players

8.4%Shot accuracy

5,210MVPs

1,091Hours (in match)

3,036Bombs planted

515Bombs defused

Most-used weapons

AK-4718,037

M4A4 / M4A1-S8,140

P2000 / USP-S3,022

AWP2,921

Desert Eagle2,348

Glock-181,741

Galil AR1,317

FAMAS1,192

P2501,089

MP9993

Lifetime map wins

3,138dust2

2,396inferno

1,840nuke

575train

285cbble

19vertigo

10lake

9aztec

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

Faceit stats

Combat

706Matches

50%Win rate

1.00Avg K/D

73.3ADR

50%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	198	58%	1.03	14.7
Dust2	113	42%	0.96	14.3
Ancient	86	48%	0.97	14.7
Inferno	81	51%	0.96	13.7
Nuke	77	51%	0.99	14.7
Anubis	74	49%	1.04	16.0
Cache	35	57%	1.13	14.3
Train	24	46%	0.94	14.4

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.

24.2%Headshot accuracy

33.2%Accuracy (enemy spotted)

36.0%Spray accuracy

83.8%Counter-strafing

9.8°Preaim

577msReaction time

24.3%T opening success

43.1%CT opening success

0.62Enemies flashed / flash

6.3%Flash assists

7.05HE damage / grenade

19.32Flashes / 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 24.2816% — 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.

20% win rate across 5 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
dust2	10–13	0.01	29%	1 Jul →
nuke	13–3	0.03	38%	1 Jul →
dust2	13–16	0.04	24%	30 Jun →
cache	13–9	0.01	15%	30 Jun →
nuke	13–8	-0.05	13%	30 Jun →
ancient	13–3	0.02	39%	28 Jun →
nuke	6–13	-0.03	12%	28 Jun →
inferno	9–13	-0.04	30%	28 Jun →
dust2	13–9	0.03	39%	9 Jun →
overpass	13–10	0.04	30%	9 Jun →
overpass	13–9	0.07	28%	9 Jun →
dust2	13–10	0.05	31%	9 Jun →
cache	13–4	0.02	23%	8 Jun →
cache	10–13	0.07	23%	8 Jun →
ancient	4–13	0.03	19%	7 Jun →
mirage	13–2	0.05	23%	6 Jun →
ancient	6–13	0.01	17%	6 Jun →
dust2	11–13	0.02	26%	6 Jun →
inferno	9–5	0.02	14%	6 Jun →
inferno	16–12	0.02	20%	2 Jun →
dust2	16–12	0.06	35%	2 Jun →
nuke	13–8	0.08	25%	2 Jun →
dust2	11–13	-0.01	15%	2 Jun →
anubis	13–8	0.03	24%	1 Jun →
mirage	9–13	-0.00	17%	1 Jun →
anubis	11–13	-0.01	27%	31 May →
dust2	5–13	-0.05	19%	31 May →
cache	5–13	-0.04	20%	31 May →
cache	13–5	0.12	18%	28 May →
inferno	13–6	0.06	30%	28 May →
inferno	16–14	0.00	21%	28 May →
dust2	7–13	-0.04	24%	27 May →
inferno	10–13	-0.05	14%	27 May →
inferno	9–13	-0.01	15%	27 May →
inferno	5–13	-0.03	16%	27 May →
dust2	13–11	-0.01	19%	27 May →
nuke	13–11	0.06	37%	26 May →
inferno	7–13	-0.05	26%	26 May →
inferno	16–14	-0.06	19%	26 May →
nuke	9–13	-0.05	28%	26 May →
cache	13–4	0.08	20%	25 May →
inferno	2–13	0.01	35%	25 May →
nuke	7–13	0.02	18%	25 May →
dust2	6–13	-0.07	37%	24 May →
overpass	14–16	-0.00	25%	24 May →
cache	22–18	-0.02	23%	24 May →
dust2	11–13	-0.04	22%	24 May →
dust2	13–16	-0.03	20%	21 May →
inferno	13–3	0.11	24%	21 May →
cache	13–9	-0.03	12%	19 May →
inferno	2–13	0.02	26%	19 May →
inferno	7–13	-0.09	41%	19 May →
dust2	14–16	-0.01	25%	18 May →
cache	13–9	-0.02	24%	18 May →
cache	13–8	-0.07	18%	18 May →
cache	6–13	-0.08	7%	18 May →
ancient	8–13	0.04	25%	18 May →
cache	13–11	0.07	20%	14 May →
nuke	13–9	0.07	23%	14 May →
inferno	13–10	0.02	18%	13 May →
inferno	13–4	-0.02	28%	13 May →
cache	6–13	0.02	14%	12 May →
dust2	16–13	-0.03	24%	12 May →
dust2	16–13	-0.03	33%	12 May →
dust2	14–16	-0.03	13%	12 May →
cache	13–3	0.04	24%	12 May →
dust2	13–16	0.04	33%	11 May →
overpass	10–13	-0.01	27%	11 May →
cache	8–13	-0.02	33%	11 May →
nuke	8–13	-0.07	23%	10 May →
inferno	6–13	-0.02	23%	10 May →
cache	8–13	-0.04	18%	10 May →
cache	13–7	0.06	20%	8 May →
inferno	11–13	-0.05	37%	8 May →
dust2	9–13	0.03	29%	8 May →
dust2	13–10	0.03	25%	8 May →
overpass	11–13	0.01	25%	6 May →
ancient	11–13	0.00	28%	6 May →
inferno	13–8	-0.01	28%	6 May →
nuke	13–16	-0.00	21%	6 May →
dust2	13–11	-0.01	20%	5 May →
inferno	15–19	0.01	26%	5 May →
nuke	13–8	0.03	20%	5 May →
mirage	4–13	0.01	48%	5 May →
dust2	7–13	-0.02	25%	4 May →
nuke	11–13	-0.06	19%	4 May →
cache	4–13	-0.09	18%	4 May →
dust2	5–13	-0.04	19%	4 May →
cache	5–13	-0.00	21%	4 May →
cache	13–3	0.04	29%	4 May →
cache	16–14	0.05	22%	3 May →
cache	13–10	0.00	23%	3 May →
dust2	10–13	-0.02	43%	3 May →
anubis	9–13	-0.04	19%	3 May →
dust2	13–8	0.02	12%	29 Apr →
cache	8–13	-0.06	20%	28 Apr →
dust2	6–13	-0.06	13%	28 Apr →
inferno	13–9	-0.01	12%	28 Apr →
nuke	13–3	0.02	28%	28 Apr →
inferno	13–10	-0.02	29%	27 Apr →