PoGy😏 — CS2 Stats

CZ76561198134943096[U:1:174677368]Steam profile ↗✓ No bans

2,257Tracked matches67%Win rate2020Tracked since

6,052Hours in CS7Hrs last 2 wks

CSDB Rating7.3 StrongPositional Player

CSDB Leaderboard#218588 of 259704 tracked

FaceitLevel 10 · 2,520 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,520 → 2,520

+59Tracked matches · now 2,257

+16.7ppWin rate · 50.0% → 66.7%

Rating over time

Premier CS Rating: 24,732 -163 4 Apr – 13 Jun · 2 days played

24,999Peak Premier in tracked matches

2,520Highest Faceit ELO seen on CSDB

42Days played since 2026-04-03

Faceit ELO

At peak — 2,520
Next: 3,000 ELO at 3,000 — 480 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-09-05
Level 10 first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	49.8%	50.9%
Shot accuracy	15.5%	13.7%
Kill/death ratio	1.10	1.09
Match win rate	50.3%	48.4%

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Performance scores

Aim82

Positioning68

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWWLWLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.4pp headshot accuracy · +3ms 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 0.02
Avg headshot accuracy 26%
Avg reaction 458ms

Last 10

6–4 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 27%
Avg reaction 467ms

Last 20

11–9 · 55% win rate
Avg rating -0.01
Avg headshot accuracy 26%
Avg reaction 466ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim8.2

Utility6.4

Positioning6.8

Opening Duels3.3

Clutch3.8

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.

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 iM 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.2

Positioning6.8

Utility6.4

Mechanics5.8

Opening Duels5.3

Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time497ms−40ms

first ⅓ avg 537ms → last ⅓ avg 497ms

Headshot accuracy24.3%+1.1%

first ⅓ avg 23.1% → last ⅓ avg 24.3%

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

0.17Best match rating · 13–2 · dust2, 29 May →

60%Best headshot accuracy · 0–4 · rush_001, 30 Sept →

313msFastest reaction time · 4–13 · ancient, 10 May →

20–4Biggest win · inferno, 8 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W2Current streak

11–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 60% over 25infernoWeakest map · 47% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	15–10	60%	0.01
mirage	B	21	10–11	48%	0.00
ancient	A	20	12–8	60%	-0.00
inferno	B	19	9–10	47%	0.01
cache	—	4	2–2	50%	0.04
anubis	—	3	2–1	67%	0.03
vertigo	—	3	1–2	33%	0.01
nuke	—	2	1–1	50%	-0.02
rush_001	—	2	1–1	50%	-0.00
overpass	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

175,269Lifetime kills

1.10K/D · Top 50% of Level 10 players

7,647Matches

50.3%Match win rate · Top 50% of Level 10 players

49.8%Headshot %

15.5%Shot accuracy · Top 50% of Level 10 players

24,332MVPs

3,536Hours (in match)

9,737Bombs planted

2,079Bombs defused

Most-used weapons

AK-4753,438

AWP31,278

M4A4 / M4A1-S23,872

P2000 / USP-S10,520

Desert Eagle9,609

Glock-188,304

P904,148

Galil AR3,657

Knife3,295

FAMAS3,238

Lifetime map wins

14,492inferno

9,102dust2

3,975vertigo

3,155nuke

2,807train

945cbble

814office

227lake

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

Faceit stats

Combat

2,205Matches

54%Win rate

1.10Avg K/D

76.7ADR

47%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	242	58%	1.08	16.3
Mirage	233	48%	1.04	15.3
Anubis	158	53%	1.15	16.6
Inferno	143	52%	1.05	16.0
Dust2	89	57%	1.05	14.7
Nuke	72	54%	1.12	15.8
Vertigo	52	54%	1.03	18.3
Overpass	35	57%	1.02	14.6

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.

22.6%Headshot accuracy

35.9%Accuracy (enemy spotted)

34.6%Spray accuracy

76.3%Counter-strafing

8.7°Preaim

504msReaction time

50.3%T opening success

52.1%CT opening success

0.60Enemies flashed / flash

12.8%Flash assists

8.74HE damage / grenade

14.46Flashes / match

Recommended for you

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.

47% win rate across 19 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
ancient	25–22	-0.01	24%	30 Oct →
mirage	13–8	0.11	24%	30 Oct →
inferno	8–13	-0.02	17%	29 Oct →
dust2	13–9	0.02	34%	29 Oct →
dust2	6–13	-0.01	29%	29 Oct →
mirage	13–11	-0.02	23%	28 Oct →
dust2	7–13	-0.02	30%	20 Oct →
mirage	16–13	0.03	33%	20 Oct →
inferno	2–9	-0.10	25%	14 Oct →
dust2	13–6	0.00	32%	14 Oct →
dust2	3–13	-0.12	5%	12 Oct →
nuke	13–11	-0.02	15%	12 Oct →
rush_001	8–6	0.07	43%	3 Oct →
rush_001	0–4	-0.08	60%	30 Sept →
inferno	17–19	-0.03	22%	28 Sept →
inferno	13–11	-0.02	20%	27 Sept →
mirage	8–13	0.04	16%	23 Sept →
ancient	13–7	-0.05	27%	23 Sept →
mirage	6–13	-0.00	35%	23 Sept →
inferno	9–5	0.01	14%	23 Sept →
anubis	19–22	0.02	24%	22 Sept →
cache	4–13	0.03	18%	22 Sept →
dust2	16–13	0.02	11%	20 Sept →
mirage	16–14	-0.02	13%	20 Sept →
mirage	13–9	0.07	27%	19 Sept →
dust2	13–10	0.07	24%	19 Sept →
vertigo	22–19	0.08	21%	13 Sept →
dust2	13–7	-0.03	9%	13 Sept →
dust2	4–13	-0.09	33%	13 Sept →
dust2	13–7	0.05	18%	8 Sept →
inferno	13–2	0.02	16%	8 Sept →
dust2	13–8	0.04	32%	8 Sept →
ancient	13–10	-0.01	27%	7 Sept →
dust2	13–8	0.04	22%	7 Sept →
dust2	13–2	0.00	30%	7 Sept →
mirage	13–4	0.06	23%	7 Sept →
vertigo	8–13	-0.00	22%	7 Sept →
inferno	13–6	0.02	32%	7 Sept →
dust2	13–9	-0.05	19%	6 Sept →
ancient	13–3	0.06	26%	6 Sept →
dust2	13–8	0.06	15%	26 Aug →
cache	13–7	0.03	20%	26 Aug →
inferno	6–13	0.02	28%	26 Aug →
ancient	13–5	0.06	21%	26 Aug →
dust2	5–13	0.06	22%	19 Aug →
inferno	13–7	0.03	23%	25 Jul →
mirage	7–13	-0.06	23%	25 Jul →
mirage	11–13	-0.03	35%	16 Jul →
inferno	9–13	0.09	17%	4 Jul →
dust2	11–13	0.05	38%	4 Jul →
vertigo	6–9	-0.05	23%	22 Jun →
inferno	8–8	0.01	26%	22 Jun →
ancient	13–11	0.01	13%	16 Jun →
mirage	8–13	-0.06	16%	14 Jun →
dust2	10–13	-0.00	20%	14 Jun →
dust2	13–4	0.01	24%	14 Jun →
mirage	13–5	-0.03	14%	14 Jun →
ancient	13–9	0.08	29%	13 Jun →
mirage	13–7	-0.08	27%	13 Jun →
dust2	13–5	0.09	23%	13 Jun →
overpass	13–6	-0.05	35%	13 Jun →
cache	9–13	0.04	37%	10 Jun →
inferno	13–10	0.04	28%	10 Jun →
mirage	9–13	0.04	28%	31 May →
inferno	7–13	0.04	39%	29 May →
ancient	9–13	0.00	25%	29 May →
mirage	13–7	-0.03	27%	29 May →
dust2	13–2	0.17	47%	29 May →
inferno	6–13	-0.02	19%	27 May →
nuke	5–13	-0.02	12%	17 May →
cache	13–8	0.04	23%	15 May →
ancient	4–13	0.01	18%	10 May →
dust2	1–13	-0.03	45%	10 May →
ancient	4–13	0.01	18%	10 May →
dust2	1–13	-0.03	45%	10 May →
mirage	3–13	0.01	18%	10 May →
ancient	0–13	-0.10	0%	10 May →
mirage	3–13	0.01	18%	10 May →
ancient	0–13	-0.10	0%	10 May →
ancient	16–14	-0.03	26%	9 May →
ancient	13–2	0.02	15%	9 May →
mirage	8–13	-0.02	15%	9 May →
ancient	1–13	-0.08	14%	9 May →
inferno	2–13	-0.07	25%	9 May →
inferno	20–4	0.06	19%	8 May →
inferno	7–9	0.01	41%	8 May →
inferno	13–4	0.08	27%	3 May →
mirage	6–13	-0.04	25%	18 Apr →
dust2	8–13	-0.07	27%	18 Apr →
ancient	13–11	-0.01	24%	8 Apr →
dust2	13–6	-0.02	38%	5 Apr →
ancient	8–13	-0.01	14%	4 Apr →
anubis	16–14	0.03	20%	4 Apr →
inferno	13–11	0.05	38%	4 Apr →
mirage	11–13	0.06	22%	4 Apr →
ancient	13–9	0.10	20%	4 Apr →
ancient	4–13	-0.06	15%	4 Apr →
ancient	13–11	0.00	27%	3 Apr →
mirage	13–8	0.06	33%	3 Apr →
anubis	13–6	0.05	16%	3 Apr →