MutiranaKornjaca — CS2 Stats

76561198203251285[U:1:242985557]

309Tracked matches31%Win rate2021Tracked since

731Hours in CS4Hrs last 2 wks

CSDB Rating3.8 LearningPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim61

Positioning38

Utility23

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateLLLLLLWWWW

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.

Aim6.1

Aggression3.2

Utility2.3

Positioning3.8

Opening Duels0.0

Clutch0.0

Strong CT-side openerLimited utility dependence

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 74% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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 40% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim6.1

Positioning3.8

Utility2.3

Mechanics5.1

Opening Duels1.2

Win Impact0.0

Composite 3.8/10 (Learning), 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-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time621ms−33ms

first ⅓ avg 654ms → last ⅓ avg 621ms

Headshot accuracy12.2%−2.0%

first ⅓ avg 14.2% → last ⅓ avg 12.2%

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

0.14Best rating — cache 13–2

13–1Biggest win — vertigo

5Longest win streak

L6Current streak

6–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

vertigoBest map · 62% over 21dust2Weakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
vertigo	A	21	13–8	62%	-0.02
inferno	C	15	6–9	40%	-0.02
dust2	D	11	2–9	18%	-0.03
anubis	D	11	3–8	27%	-0.02
ancient	D	9	3–6	33%	-0.03
cache	C	7	3–4	43%	0.00
nuke	A	7	4–3	57%	-0.01
mirage	D	5	1–4	20%	-0.02
train	C	5	2–3	40%	-0.01
italy	—	3	1–2	33%	-0.03
overpass	—	3	0–3	0%	-0.05
alpine	—	1	1–0	100%	0.07
warden	—	1	1–0	100%	0.05
office	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,414Lifetime kills

0.86K/D

1,434Matches

38.4%Match win rate

37.6%Headshot %

12.3%Shot accuracy · Top 50% of tracked players

2,372MVPs

409Hours (in match)

1,066Bombs planted

301Bombs defused

Most-used weapons

M4A4 / M4A1-S4,001

AK-472,869

MP72,459

Galil AR1,950

AWP1,586

P2000 / USP-S924

Glock-18711

Desert Eagle567

SG 553462

FAMAS441

Lifetime map wins

1,768vertigo

1,699dust2

1,384inferno

547nuke

232lake

210office

197train

140cbble

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

Faceit stats

Combat

4Matches

50%Win rate

0.81Avg K/D

68.0ADR

54%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	0%	0.94	16.0
Mirage	1	100%	1.57	11.0
Train	1	100%	0.56	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.

12.0%Headshot accuracy

37.2%Accuracy (enemy spotted)

39.4%Spray accuracy

72.8%Counter-strafing

9.4°Preaim

616msReaction time

15.3%T opening success

39.5%CT opening success

0.32Enemies flashed / flash

0.0%Flash assists

5.32HE damage / grenade

2.34Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.9666% — below the 15% mark we flag
Aim Training →
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 0.3178 — 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 15.2846% — 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.

18% win rate across 11 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
dust2	3–13	-0.06	8%	20 Aug →
dust2	8–13	0.02	10%	15 Aug →
ancient	9–13	-0.11	5%	15 Aug →
dust2	3–13	0.00	14%	15 Aug →
mirage	13–16	-0.02	14%	15 Aug →
train	10–13	-0.03	11%	12 Aug →
train	13–3	0.04	11%	12 Aug →
cache	13–2	0.14	30%	11 Aug →
anubis	13–11	0.03	15%	10 Aug →
ancient	16–12	0.02	9%	10 Aug →
vertigo	13–5	-0.00	14%	10 Aug →
vertigo	11–13	-0.03	10%	2 Jul →
vertigo	6–13	-0.05	8%	6 Jun →
vertigo	8–13	-0.04	13%	6 Jun →
vertigo	13–2	0.01	8%	29 May →
nuke	7–13	-0.01	9%	29 May →
anubis	11–13	-0.03	7%	29 May →
anubis	5–13	-0.06	3%	27 May →
anubis	9–13	-0.08	2%	27 May →
inferno	5–13	-0.01	19%	27 May →
nuke	13–8	-0.06	15%	27 May →
inferno	13–11	0.02	7%	23 May →
dust2	9–13	-0.06	15%	23 May →
vertigo	9–13	-0.04	6%	23 May →
dust2	7–13	-0.03	17%	19 May →
train	8–13	-0.02	17%	18 May →
inferno	4–13	-0.06	13%	18 May →
inferno	11–13	-0.01	23%	12 May →
cache	12–12	-0.04	10%	11 May →
vertigo	13–6	0.00	20%	10 May →
cache	11–13	0.04	12%	10 May →
inferno	12–12	-0.03	15%	6 May →
inferno	13–7	-0.02	14%	6 May →
cache	13–11	-0.01	4%	6 May →
vertigo	12–12	-0.08	14%	5 May →
cache	8–13	-0.03	4%	5 May →
vertigo	13–6	-0.02	14%	5 May →
cache	4–13	-0.04	6%	5 May →
inferno	13–9	-0.04	19%	5 May →
vertigo	13–11	-0.03	15%	4 May →
cache	13–5	-0.04	10%	29 Apr →
vertigo	13–2	-0.01	11%	28 Apr →
anubis	2–13	-0.04	18%	28 Apr →
ancient	13–7	-0.02	15%	28 Apr →
vertigo	3–9	-0.17	15%	28 Apr →
vertigo	13–4	-0.03	6%	28 Apr →
inferno	5–13	-0.04	22%	28 Apr →
vertigo	13–7	0.01	12%	26 Apr →
anubis	9–13	-0.09	13%	26 Apr →
vertigo	13–7	0.05	15%	26 Apr →
vertigo	13–3	-0.05	12%	24 Apr →
vertigo	9–13	-0.04	12%	22 Apr →
vertigo	13–1	0.05	12%	22 Apr →
dust2	13–3	-0.00	11%	21 Apr →
anubis	13–11	-0.05	14%	21 Apr →
inferno	13–6	0.01	22%	21 Apr →
italy	12–12	-0.07	16%	19 Apr →
dust2	9–13	-0.04	14%	19 Apr →
ancient	11–13	-0.03	13%	16 Apr →
alpine	7–4	0.07	7%	16 Apr →
overpass	3–13	-0.04	10%	16 Apr →
anubis	13–8	0.08	24%	5 Apr →
anubis	7–13	-0.02	9%	5 Apr →
anubis	4–13	-0.06	8%	3 Apr →
nuke	8–13	-0.03	9%	1 Apr →
ancient	13–10	0.08	11%	25 Mar →
mirage	12–12	0.03	8%	21 Mar →
mirage	1–13	-0.01	15%	21 Mar →
vertigo	12–12	-0.05	13%	21 Mar →
ancient	3–13	-0.06	13%	18 Mar →
italy	13–9	0.05	11%	18 Mar →
italy	4–13	-0.06	17%	18 Mar →
inferno	6–13	-0.03	8%	15 Mar →
nuke	13–5	0.00	5%	15 Mar →
inferno	4–13	-0.03	8%	15 Mar →
mirage	1–13	-0.08	33%	15 Mar →
overpass	12–12	-0.09	20%	14 Mar →
ancient	7–13	-0.06	8%	14 Mar →
overpass	7–13	-0.02	22%	13 Mar →
warden	13–7	0.05	12%	11 Mar →
nuke	13–9	-0.00	9%	8 Mar →
ancient	12–12	-0.05	13%	7 Mar →
train	13–4	-0.01	11%	7 Mar →
dust2	13–8	-0.02	18%	7 Mar →
dust2	4–13	-0.06	9%	7 Mar →
dust2	4–13	-0.02	13%	7 Mar →
mirage	13–10	-0.01	11%	7 Mar →
nuke	3–9	0.00	15%	7 Mar →
inferno	9–5	-0.03	10%	7 Mar →
vertigo	13–9	-0.00	9%	7 Mar →
inferno	13–8	-0.01	11%	5 Mar →
ancient	8–13	-0.04	18%	5 Mar →
office	13–5	-0.02	19%	4 Mar →
vertigo	13–1	0.07	24%	4 Mar →
inferno	9–13	0.01	16%	4 Mar →
anubis	0–8	0.05	10%	4 Mar →
dust2	11–13	-0.05	19%	4 Mar →
nuke	13–11	-0.00	3%	3 Mar →
inferno	3–13	-0.06	17%	3 Mar →
train	12–12	-0.03	26%	3 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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