Pyöveli — CS2 Stats

76561199669145000[U:1:1708879272]Steam profile ↗✓ No bans

2,146Tracked matches47%Win rate2024Tracked since

1,792Hours in CS0Hrs last 2 wks

CSDB Rating6.6 SolidSupport

CSDB Leaderboard#182825 of 260020 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,610 +879 23 May – 19 Aug · 11 days played

11,610Peak Premier in tracked matches

36Days played since 2026-05-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 median	Level 5 median	vs Level 5
Headshot rate	54.2%	42.7%	43.8%	above
Shot accuracy	0.0%	11.2%	12.0%	12.0% short
Kill/death ratio	1.00	0.99	1.02	0.02 short
Match win rate	45.8%	43.9%	44.7%	above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim79

Positioning58

Utility69

0–100 skill scores via Leetify.

Recent form

COLD46–53–1Last 10046%Win rateLLLLLWLLWW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · −4.3pp headshot accuracy · −24ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

0–5 · 0% win rate
Avg rating -0.00
Avg headshot accuracy 14%
Avg reaction 505ms

Last 10

3–7 · 30% win rate
Avg rating -0.00
Avg headshot accuracy 16%
Avg reaction 509ms

Last 20

9–11 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 520ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim7.9

Utility6.9

Positioning5.8

Opening Duels4.5

Clutch2.6

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 ZywOo 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile.

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

CSDB Rating breakdown

Aim7.9

Positioning5.8

Utility6.9

Mechanics7.2

Opening Duels5.5

Win Impact3.9

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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time526ms−101ms

first ⅓ avg 627ms → last ⅓ avg 526ms

Headshot accuracy23.5%+1.7%

first ⅓ avg 21.7% → last ⅓ avg 23.5%

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 · 9–3 · inferno, 12 Jun →

67%Best headshot accuracy · 3–13 · inferno, 31 Jul →

344msFastest reaction time · 4–9 · inferno, 11 Jun →

13–0Biggest win · dust2, 12 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L5Current streak

11–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 63% over 19anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	13–10	57%	-0.02
inferno	B	20	9–11	45%	0.04
dust2	A	19	12–7	63%	0.01
nuke	D	10	3–7	30%	0.01
cache	D	9	3–6	33%	0.03
ancient	D	8	2–6	25%	-0.02
anubis	D	5	1–4	20%	-0.03
overpass	—	3	1–2	33%	0.03
vertigo	—	1	0–1	0%	0.05
fachwerk	—	1	1–0	100%	0.02
boulder	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

41,270Lifetime kills

1.00K/D · Top 50% of Level 4 players

2,522Matches

45.8%Match win rate · Top 50% of Level 4 players

54.2%Headshot % · Top 10% of Level 4 players

0.0%Shot accuracy

7,403MVPs

908Hours (in match)

2,429Bombs planted

733Bombs defused

Most-used weapons

AK-4714,154

Desert Eagle7,583

M4A4 / M4A1-S4,067

AWP2,427

Glock-182,101

P2000 / USP-S1,932

SSG 081,558

Knife1,037

MAC-10961

XM1014827

Lifetime map wins

5,772dust2

2,959inferno

2,664nuke

663vertigo

579train

140italy

122lake

120office

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

Faceit stats

Combat

889Matches

47%Win rate

1.03Avg K/D

83.6ADR

51%Headshot %

Clutches & streaks

33%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	261	49%	1.08	16.4
Dust2	177	50%	1.05	16.3
Inferno	120	49%	1.08	17.7
Nuke	105	44%	0.98	15.9
Anubis	89	43%	0.93	15.3
Ancient	52	40%	0.93	14.8
Cache	35	51%	1.04	18.1
Train	25	28%	0.99	16.9

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.

20.5%Headshot accuracy

37.6%Accuracy (enemy spotted)

38.0%Spray accuracy

82.6%Counter-strafing

11.7°Preaim

523msReaction time

59.4%T opening success

45.0%CT opening success

0.58Enemies flashed / flash

14.2%Flash assists

8.58HE damage / grenade

23.28Flashes / match

Recommended for you

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	0.02	5%	19 Oct →
vertigo	18–22	0.05	10%	18 Oct →
anubis	7–13	-0.03	19%	17 Oct →
nuke	9–13	0.02	9%	17 Oct →
anubis	7–13	-0.07	25%	16 Oct →
dust2	13–11	-0.01	10%	13 Oct →
anubis	11–13	0.00	17%	9 Oct →
nuke	2–13	0.00	16%	6 Oct →
mirage	13–3	0.04	29%	6 Oct →
dust2	16–13	-0.06	17%	6 Oct →
ancient	6–13	-0.09	15%	6 Oct →
nuke	13–8	0.09	25%	26 Sept →
anubis	9–13	-0.04	13%	17 Sept →
mirage	16–13	0.01	22%	8 Sept →
inferno	20–22	0.06	21%	4 Sept →
anubis	16–14	-0.00	17%	3 Sept →
dust2	13–8	-0.01	34%	3 Sept →
inferno	13–7	0.04	16%	2 Sept →
mirage	13–11	-0.04	18%	2 Sept →
mirage	8–13	-0.03	20%	30 Aug →
nuke	8–9	0.05	36%	19 Aug →
mirage	13–11	0.07	40%	19 Aug →
inferno	6–13	-0.01	9%	14 Aug →
nuke	2–13	-0.01	11%	14 Aug →
nuke	11–13	0.06	33%	6 Aug →
dust2	13–7	0.13	27%	6 Aug →
cache	4–9	0.05	24%	6 Aug →
mirage	13–7	-0.01	26%	6 Aug →
dust2	13–11	0.04	41%	2 Aug →
inferno	13–8	0.09	23%	2 Aug →
inferno	13–11	-0.01	45%	1 Aug →
inferno	3–13	-0.06	67%	31 Jul →
inferno	15–15	0.11	37%	29 Jul →
cache	13–9	0.14	38%	29 Jul →
fachwerk	13–3	0.02	13%	29 Jul →
boulder	13–9	0.03	23%	29 Jul →
cache	13–8	0.11	33%	25 Jul →
inferno	6–13	-0.03	18%	25 Jul →
cache	9–13	0.01	21%	25 Jul →
dust2	13–8	-0.05	10%	25 Jul →
mirage	13–4	-0.06	13%	25 Jul →
cache	3–13	-0.07	38%	25 Jul →
mirage	13–7	-0.03	23%	25 Jul →
ancient	5–13	-0.04	15%	13 Jul →
ancient	6–13	-0.08	29%	12 Jul →
mirage	13–10	-0.00	28%	12 Jul →
ancient	13–6	0.00	21%	12 Jul →
dust2	22–19	0.04	25%	7 Jul →
mirage	11–13	-0.04	33%	1 Jul →
mirage	9–13	-0.01	15%	30 Jun →
dust2	13–11	-0.05	16%	30 Jun →
inferno	7–13	0.06	22%	30 Jun →
mirage	12–2	0.02	26%	30 Jun →
nuke	9–13	-0.08	21%	30 Jun →
inferno	16–12	0.02	12%	29 Jun →
dust2	16–12	0.02	23%	29 Jun →
inferno	10–13	0.06	39%	29 Jun →
mirage	13–11	0.00	29%	29 Jun →
overpass	13–16	-0.08	10%	15 Jun →
mirage	2–13	-0.02	26%	15 Jun →
ancient	9–13	0.03	18%	15 Jun →
overpass	7–13	0.01	29%	13 Jun →
ancient	6–13	-0.05	0%	13 Jun →
inferno	7–8	0.02	31%	13 Jun →
dust2	9–13	-0.04	20%	13 Jun →
inferno	13–9	0.00	19%	12 Jun →
dust2	13–0	0.02	14%	12 Jun →
nuke	13–10	-0.05	13%	12 Jun →
mirage	13–9	-0.06	16%	12 Jun →
nuke	5–9	-0.04	18%	12 Jun →
dust2	13–0	0.03	24%	12 Jun →
inferno	13–3	0.08	15%	12 Jun →
dust2	9–10	0.04	17%	12 Jun →
ancient	10–13	-0.04	13%	12 Jun →
mirage	13–6	-0.06	25%	12 Jun →
mirage	5–13	-0.03	19%	12 Jun →
inferno	9–3	0.17	38%	12 Jun →
inferno	4–9	0.00	17%	11 Jun →
dust2	11–13	0.02	19%	11 Jun →
dust2	8–13	0.03	23%	11 Jun →
dust2	14–16	0.02	24%	11 Jun →
nuke	13–11	0.02	23%	10 Jun →
mirage	6–13	-0.08	6%	10 Jun →
cache	6–13	-0.02	25%	10 Jun →
cache	0–7	-0.10	29%	10 Jun →
dust2	5–13	-0.03	15%	9 Jun →
inferno	16–14	0.15	31%	9 Jun →
mirage	13–5	-0.01	32%	9 Jun →
ancient	13–10	0.07	21%	9 Jun →
dust2	7–13	-0.02	27%	9 Jun →
inferno	13–4	0.07	24%	9 Jun →
cache	9–13	0.08	20%	9 Jun →
cache	13–7	0.03	30%	9 Jun →
mirage	1–9	-0.05	15%	24 May →
mirage	8–13	0.04	21%	24 May →
inferno	6–13	0.06	17%	24 May →
mirage	4–13	-0.03	45%	24 May →
dust2	13–11	-0.01	19%	24 May →
mirage	11–13	-0.02	10%	23 May →
overpass	7–0	0.15	27%	23 May →