Pogzinho — CS2 Stats

PL76561197995764955[U:1:35499227]Steam profile ↗

342Tracked matches38%Win rate2020Tracked since

2,898Hours in CS

CSDB Rating4.6 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim63

Positioning51

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWLWLWWLWTL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

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

Aim6.3

Aggression7.1

Utility4.6

Positioning5.1

Opening Duels2.0

Clutch3.4

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 ropz 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 691ms 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

Aim6.3

Positioning5.1

Utility4.6

Mechanics8.2

Opening Duels2.0

Win Impact1.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time706ms−15ms

first ⅓ avg 721ms → last ⅓ avg 706ms

Headshot accuracy18.0%−2.7%

first ⅓ avg 20.7% → last ⅓ avg 18.0%

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

0.17Best rating — mirage 13–3

13–0Biggest win — ancient

8Longest win streak

5–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 83% over 6infernoWeakest map · 45% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	15–12	56%	0.01
inferno	B	22	10–12	45%	0.02
overpass	A	11	6–5	55%	0.01
nuke	A	11	6–5	55%	-0.00
ancient	B	11	5–6	45%	0.01
dust2	S	6	5–1	83%	-0.00
anubis	A	5	3–2	60%	-0.01
cache	—	3	1–2	33%	0.04
train	—	3	1–2	33%	-0.01
grail	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,994Lifetime kills

1.04K/D · Top 50% of tracked players

4,565Matches

46.3%Match win rate · Top 50% of tracked players

53.4%Headshot % · Top 25% of tracked players

19.4%Shot accuracy · Top 5% of tracked players

12,307MVPs

2,898Hours (in match)

3,617Bombs planted

1,101Bombs defused

Most-used weapons

AK-4773,516

M4A4 / M4A1-S26,034

P2000 / USP-S13,258

AWP9,816

Desert Eagle5,062

Glock-183,898

P2502,849

UMP-451,598

MP91,568

Five-SeveN1,535

Lifetime map wins

8,318inferno

4,594train

1,869dust2

1,797nuke

1,704cbble

910vertigo

112lake

49safehouse

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

Faceit stats

Combat

966Matches

52%Win rate

1.08Avg K/D

81.2ADR

45%Headshot %

Clutches & streaks

37%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	38	55%	1.03	16.9
Inferno	21	52%	1.24	18.5
Anubis	20	50%	0.84	13.3
Ancient	13	38%	0.94	15.4
Nuke	11	36%	1.10	18.7
Vertigo	3	33%	1.10	19.0
Dust2	2	100%	1.16	16.5
Overpass	2	100%	1.38	24.0

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.

18.0%Headshot accuracy

35.7%Accuracy (enemy spotted)

36.2%Spray accuracy

86.8%Counter-strafing

10.8°Preaim

691msReaction time

42.3%T opening success

33.7%CT opening success

0.66Enemies flashed / flash

5.6%Flash assists

8.11HE damage / grenade

6.39Flashes / 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 33.732% — below the 40% mark we flag

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.

45% win rate across 22 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
dust2	13–8	0.01	20%	18 May →
dust2	9–13	-0.00	28%	18 May →
inferno	13–2	0.07	14%	1 May →
cache	10–13	0.05	15%	1 May →
mirage	13–5	0.06	22%	1 May →
inferno	13–4	0.06	26%	1 May →
cache	2–13	0.01	15%	1 May →
cache	13–10	0.04	20%	1 May →
mirage	15–15	-0.03	17%	30 Apr →
inferno	7–13	0.05	15%	30 Apr →
mirage	13–5	0.02	17%	30 Apr →
inferno	16–12	0.09	22%	8 Apr →
inferno	13–2	0.01	15%	8 Apr →
inferno	11–13	-0.02	16%	9 Mar →
overpass	8–13	-0.06	13%	9 Mar →
nuke	13–3	-0.04	9%	7 Mar →
mirage	8–13	-0.03	26%	7 Mar →
inferno	3–13	-0.06	13%	7 Mar →
inferno	13–4	0.06	18%	6 Mar →
ancient	11–13	-0.05	13%	6 Mar →
mirage	1–13	-0.06	12%	6 Jan →
overpass	6–13	0.05	16%	6 Jan →
mirage	9–13	-0.00	20%	28 Dec →
dust2	13–11	0.04	17%	28 Dec →
ancient	6–13	0.02	30%	28 Dec →
mirage	2–13	-0.04	15%	27 Dec →
inferno	7–13	0.01	14%	27 Dec →
overpass	3–13	-0.06	29%	27 Dec →
nuke	13–16	-0.02	10%	26 Dec →
overpass	8–13	-0.05	21%	26 Dec →
nuke	13–9	0.02	20%	26 Dec →
mirage	12–16	0.00	18%	26 Dec →
overpass	13–7	0.05	18%	26 Dec →
mirage	13–2	0.07	15%	26 Dec →
inferno	11–13	0.03	26%	23 Dec →
dust2	13–7	-0.06	26%	23 Dec →
mirage	13–11	-0.05	22%	23 Dec →
inferno	13–6	0.04	15%	23 Dec →
mirage	13–7	0.08	14%	23 Dec →
mirage	13–2	0.15	26%	23 Dec →
mirage	13–3	0.17	23%	23 Dec →
inferno	7–13	-0.07	17%	23 Dec →
nuke	10–13	-0.05	19%	23 Dec →
ancient	13–11	0.01	33%	15 Dec →
nuke	13–9	-0.01	26%	8 Oct →
mirage	13–10	0.07	17%	8 Oct →
mirage	13–7	-0.01	17%	3 Oct →
inferno	16–14	-0.01	20%	3 Oct →
dust2	13–3	-0.04	19%	3 Oct →
nuke	13–9	0.01	12%	3 Oct →
overpass	13–8	-0.01	24%	3 Oct →
mirage	11–13	-0.05	21%	22 Sept →
overpass	13–6	0.09	27%	19 Sept →
mirage	14–16	-0.04	10%	19 Sept →
ancient	15–15	-0.03	31%	18 Sept →
inferno	13–9	0.02	29%	18 Sept →
overpass	13–2	0.14	29%	17 Sept →
train	14–16	-0.03	29%	17 Sept →
inferno	3–13	0.05	25%	17 Sept →
mirage	13–8	0.01	25%	17 Sept →
overpass	13–8	0.00	22%	17 Sept →
mirage	13–4	0.06	13%	8 Sept →
mirage	13–5	-0.02	19%	3 Sept →
nuke	8–13	0.04	14%	3 Sept →
overpass	6–13	-0.02	16%	3 Sept →
ancient	13–0	0.06	21%	3 Sept →
mirage	13–9	-0.01	23%	3 Sept →
inferno	13–10	0.04	27%	3 Sept →
overpass	13–4	0.00	24%	27 Aug →
inferno	9–13	0.02	20%	27 Aug →
nuke	5–13	-0.01	32%	25 Jun →
grail	13–4	0.10	12%	24 Jun →
nuke	4–9	-0.02	24%	24 Jun →
train	11–13	-0.06	12%	1 Jun →
inferno	6–13	-0.02	17%	2 Apr →
mirage	6–13	-0.05	21%	2 Apr →
ancient	4–13	0.02	13%	1 Apr →
anubis	13–6	0.03	19%	1 Apr →
mirage	13–16	0.02	21%	28 Mar →
dust2	13–9	0.02	20%	28 Mar →
anubis	9–13	-0.03	20%	25 Mar →
nuke	13–9	-0.01	16%	25 Mar →
inferno	13–10	0.03	26%	23 Mar →
inferno	5–13	0.06	23%	14 Mar →
mirage	13–9	0.02	29%	13 Mar →
inferno	2–13	-0.04	18%	6 Mar →
mirage	5–13	-0.04	10%	6 Mar →
ancient	5–13	-0.01	10%	3 Mar →
mirage	13–9	-0.07	19%	3 Mar →
inferno	10–13	-0.00	23%	3 Mar →
anubis	13–10	-0.00	28%	3 Mar →
ancient	13–10	0.01	26%	3 Mar →
ancient	16–14	0.01	31%	14 Feb →
anubis	16–13	-0.03	22%	6 Feb →
mirage	6–13	-0.02	15%	3 Feb →
train	13–9	0.05	19%	3 Feb →
nuke	13–4	0.06	32%	25 Jan →
ancient	8–13	0.04	25%	20 Jan →
anubis	1–13	-0.03	13%	20 Jan →
ancient	13–10	0.01	16%	13 Jan →