45 metrova pizza — CS2 Stats

CZ76561199104893171[U:1:1144627443]Steam profile ↗✓ No bans

1,068Tracked matches48%Win rate2021Tracked since

2,802Hours in CS

CSDB Rating6.6 SolidAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim87

Positioning73

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY52–40–8Last 10052%Win rateLLLTWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.7

Aggression10.0

Utility3.2

Positioning7.3

Opening Duels5.5

Clutch4.4

Sharp aimerStrong 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 ZywOo 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 63% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning7.3

Utility3.2

Mechanics6.8

Opening Duels5.5

Win Impact4.4

Composite 6.6/10 (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 rating0.06+0.03

first ⅓ avg 0.03 → last ⅓ avg 0.06

Reaction time521ms−74ms

first ⅓ avg 595ms → last ⅓ avg 521ms

Headshot accuracy19.8%−1.4%

first ⅓ avg 21.1% → last ⅓ avg 19.8%

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

0.20Best rating — dust2 13–5

13–0Biggest win — ancient

8Longest win streak

L3Current streak

13–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 67% over 15infernoWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	16	10–6	63%	0.01
mirage	S	15	10–5	67%	0.04
overpass	C	14	6–8	43%	0.01
ancient	A	13	8–5	62%	0.04
inferno	D	11	2–9	18%	0.03
dust2	A	10	6–4	60%	0.05
anubis	C	8	3–5	38%	0.03
vertigo	A	7	4–3	57%	0.09
cache	—	2	0–2	0%	-0.01
alpine	—	1	0–1	0%	0.02
poseidon	—	1	1–0	100%	0.05
rooftop	—	1	1–0	100%	0.18
train	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

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

Lifetime stats

85,107Lifetime kills

1.32K/D · Top 10% of tracked players

2,492Matches

48.3%Match win rate · Top 50% of tracked players

67.3%Headshot % · Top 5% of tracked players

6.2%Shot accuracy

8,773MVPs

2,802Hours (in match)

2,255Bombs planted

842Bombs defused

Most-used weapons

AK-4748,988

M4A4 / M4A1-S11,676

P2000 / USP-S6,060

Glock-183,240

Desert Eagle2,789

AWP2,646

Galil AR1,635

MP91,466

FAMAS913

MAC-10684

Lifetime map wins

2,976inferno

2,849nuke

2,459dust2

1,583vertigo

525train

209cbble

134lake

66office

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

Faceit stats

Combat

430Matches

53%Win rate

1.27Avg K/D

82.3ADR

52%Headshot %

Clutches & streaks

42%1v1 clutch win

28%1v2 clutch win

17Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	112	57%	1.31	17.0
Ancient	69	61%	1.22	16.0
Anubis	62	52%	1.11	15.9
Dust2	51	45%	1.23	16.7
Nuke	34	41%	1.22	16.7
Inferno	34	47%	1.11	16.8
Overpass	17	59%	1.19	18.4
Vertigo	13	62%	1.56	18.9

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.

19.0%Headshot accuracy

39.8%Accuracy (enemy spotted)

42.1%Spray accuracy

80.7%Counter-strafing

8.6°Preaim

524msReaction time

41.1%T opening success

62.9%CT opening success

0.41Enemies flashed / flash

5.1%Flash assists

4.52HE damage / grenade

4.87Flashes / 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 0.4125 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	9–13	-0.02	14%	12 Aug →
mirage	9–13	0.02	19%	28 Jul →
dust2	0–4	-0.05	33%	4 Jul →
anubis	12–12	-0.02	26%	4 Jul →
inferno	9–4	0.19	17%	25 Jun →
mirage	13–1	0.13	20%	25 Jun →
nuke	7–13	0.01	20%	22 Jun →
dust2	13–5	0.20	20%	22 Jun →
vertigo	13–11	0.10	15%	21 Jun →
ancient	10–13	0.05	16%	21 Jun →
nuke	12–12	0.01	6%	20 Jun →
anubis	7–13	-0.01	16%	19 Jun →
dust2	6–13	0.10	37%	14 Jun →
ancient	13–6	0.19	15%	14 Jun →
ancient	6–13	0.04	25%	13 Jun →
overpass	13–11	0.04	17%	12 Jun →
inferno	12–12	0.05	24%	8 Jun →
nuke	13–7	0.09	16%	8 Jun →
vertigo	3–9	-0.03	25%	7 Jun →
overpass	9–13	0.05	22%	7 Jun →
inferno	10–13	0.04	34%	7 Jun →
cache	6–13	-0.02	20%	6 Jun →
anubis	13–8	0.12	13%	6 Jun →
mirage	13–6	0.09	17%	6 Jun →
dust2	13–7	0.03	18%	6 Jun →
inferno	7–9	0.03	16%	6 Jun →
cache	9–13	0.01	16%	5 Jun →
nuke	9–7	0.08	27%	5 Jun →
vertigo	13–2	0.19	22%	5 Jun →
vertigo	13–5	0.20	25%	5 Jun →
inferno	11–13	-0.02	13%	24 May →
anubis	13–6	0.06	13%	14 May →
mirage	13–11	0.07	15%	10 May →
ancient	6–13	0.05	18%	23 Apr →
overpass	13–7	0.09	17%	15 Apr →
ancient	9–13	0.01	19%	8 Apr →
inferno	11–13	0.05	22%	13 Mar →
dust2	19–17	0.00	26%	12 Mar →
overpass	5–13	0.01	23%	8 Mar →
nuke	13–10	0.04	17%	8 Mar →
overpass	13–6	0.01	15%	1 Mar →
anubis	10–13	0.03	24%	23 Feb →
dust2	1–6	-0.04	0%	21 Feb →
mirage	5–13	0.01	33%	20 Feb →
mirage	11–13	-0.01	18%	18 Feb →
dust2	13–11	0.04	25%	18 Feb →
overpass	4–9	-0.09	21%	18 Feb →
nuke	8–8	-0.09	11%	18 Feb →
ancient	13–10	0.06	19%	17 Feb →
nuke	13–9	0.02	20%	15 Feb →
nuke	3–13	-0.07	22%	9 Feb →
mirage	9–13	0.03	20%	1 Feb →
ancient	13–4	-0.01	19%	31 Jan →
ancient	6–13	0.02	19%	29 Jan →
mirage	16–14	-0.02	21%	27 Jan →
overpass	11–13	-0.03	18%	26 Jan →
nuke	13–9	0.02	21%	26 Jan →
anubis	4–13	-0.03	22%	26 Jan →
ancient	13–2	0.06	16%	26 Jan →
alpine	12–12	0.02	20%	26 Jan →
poseidon	9–7	0.05	24%	26 Jan →
nuke	13–9	0.00	27%	24 Jan →
anubis	11–13	0.00	21%	24 Jan →
mirage	13–6	-0.03	15%	24 Jan →
vertigo	9–4	0.10	23%	24 Jan →
inferno	5–9	0.01	19%	24 Jan →
dust2	5–13	0.08	18%	24 Jan →
inferno	2–13	0.02	21%	23 Jan →
mirage	13–11	0.00	24%	22 Jan →
inferno	13–9	0.03	29%	22 Jan →
ancient	13–0	0.09	25%	22 Jan →
anubis	10–6	0.07	24%	22 Jan →
overpass	7–13	0.01	18%	22 Jan →
nuke	10–13	-0.05	24%	21 Jan →
overpass	6–9	-0.05	13%	20 Jan →
inferno	12–12	-0.07	6%	20 Jan →
mirage	13–10	0.06	38%	19 Jan →
mirage	13–3	0.04	19%	19 Jan →
mirage	13–3	0.14	23%	19 Jan →
overpass	13–4	0.12	17%	18 Jan →
overpass	8–13	-0.01	29%	16 Jan →
ancient	13–7	-0.04	17%	16 Jan →
ancient	16–14	-0.05	13%	16 Jan →
dust2	13–9	0.03	24%	16 Jan →
inferno	8–8	-0.01	12%	15 Jan →
overpass	9–7	-0.07	21%	14 Jan →
nuke	9–7	-0.06	31%	14 Jan →
mirage	13–3	0.06	21%	14 Jan →
nuke	8–8	0.06	12%	14 Jan →
overpass	10–13	0.01	23%	14 Jan →
mirage	7–13	-0.00	27%	14 Jan →
dust2	13–8	0.08	15%	14 Jan →
nuke	13–10	0.04	20%	13 Jan →
rooftop	9–3	0.18	22%	11 Jan →
nuke	9–6	0.03	14%	10 Jan →
ancient	13–1	0.09	32%	10 Jan →
train	13–9	-0.05	24%	10 Jan →
overpass	13–6	0.04	21%	10 Jan →
nuke	13–11	0.10	19%	9 Jan →
vertigo	8–13	0.12	22%	9 Jan →