Podul PUK — CS2 Stats

76561198201709795[U:1:241444067]Steam profile ↗✓ No bans

2,552Tracked matches55%Win rate2020Tracked since

CSDB Rating7.9 StrongSupport

Premier CS Rating21,481Top 50% of 175,286 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)

CSDB Leaderboard#55722 of 221380 tracked

FaceitLevel 9 · 2,176 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+46Premier CS Rating · 21,435 → 21,481

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 3 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,481 -3,317 3 Jun – 17 Sept · 27 days played

24,999Peak Premier in tracked matches

2,176Highest Faceit ELO seen on CSDB

46Days played since 2026-06-03

Faceit ELO

At peak — 2,176
Next: 2,500 ELO at 2,500 — 324 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

3,414 below peak (24,895)
-1,354 over 30 days · declining
-3,302 over 90 days
Next: Red band at 25,000 — 3,519 to go
Reached: Pink band · Purple band · Blue band · Light Blue band

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.

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Performance scores

Aim90

Positioning69

Utility75

0–100 skill scores via Leetify.

Recent form

HOT44–54–2Last 10044%Win rateLWWWWLWWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · −85ms 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

4–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 24%
Avg reaction 439ms

Last 10

7–3 · 70% win rate
Avg rating 0.02
Avg headshot accuracy 26%
Avg reaction 476ms

Last 20

13–7 · 65% win rate
Avg rating 0.02
Avg headshot accuracy 25%
Avg reaction 519ms

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 (+1.4 against its own average).

Aim9.0

Utility7.5

Positioning6.9

Opening Duels6.3

Clutch3.8

Sharp aimerEffective flashesHigh utility contribution

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: aim profile, positioning 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 75 — grenade impact well above the norm.

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

Aim9.0

Positioning6.9

Utility7.5

Mechanics8.3

Opening Duels6.6

Win Impact6.7

Composite 7.9/10 (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 rating0.02−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time550ms−37ms

first ⅓ avg 587ms → last ⅓ avg 550ms

Headshot accuracy23.9%−1.7%

first ⅓ avg 25.6% → last ⅓ avg 23.9%

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

0.14Best match rating · 13–5 · cache, 2 Jul →

60%Best headshot accuracy · 1–13 · dust2, 22 Jul →

359msFastest reaction time · 13–7 · dust2, 3 Sept →

13–1Biggest win · fachwerk, 21 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

7–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 48% over 44anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	44	21–23	48%	0.03
cache	D	13	4–9	31%	0.02
mirage	C	12	5–7	42%	0.03
anubis	D	8	2–6	25%	0.00
ancient	D	7	2–5	29%	0.01
nuke	—	4	2–2	50%	-0.00
fachwerk	—	4	3–1	75%	0.08
vertigo	—	3	2–1	67%	-0.01
inferno	—	3	2–1	67%	0.03
train	—	2	1–1	50%	0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,164Matches

51%Win rate

1.07Avg K/D

86.7ADR

47%Headshot %

Clutches & streaks

39%1v1 clutch win

18%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	121	46%	0.99	15.7
Anubis	102	54%	1.09	16.9
Dust2	80	55%	1.12	16.7
Inferno	63	44%	0.92	14.5
Ancient	62	50%	1.07	15.6
Vertigo	26	58%	1.01	17.3
Nuke	13	38%	1.11	14.8
Overpass	9	56%	1.48	19.4

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.

23.3%Headshot accuracy

40.1%Accuracy (enemy spotted)

40.7%Spray accuracy

87.4%Counter-strafing

9.4°Preaim

537msReaction time

52.2%T opening success

60.6%CT opening success

0.71Enemies flashed / flash

7.1%Flash assists

9.26HE damage / grenade

19.61Flashes / 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.

25% win rate across 8 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
dust2	13–16	0.05	21%	17 Sept →
ancient	13–6	0.02	17%	17 Sept →
dust2	13–3	0.03	38%	16 Sept →
vertigo	13–8	-0.07	17%	15 Sept →
dust2	13–8	0.11	29%	15 Sept →
anubis	10–13	-0.02	21%	15 Sept →
nuke	13–5	0.01	26%	15 Sept →
nuke	13–8	-0.01	32%	15 Sept →
mirage	13–5	0.05	30%	15 Sept →
ancient	10–13	0.00	31%	15 Sept →
dust2	13–9	0.01	17%	14 Sept →
cache	8–13	-0.02	18%	14 Sept →
anubis	13–9	0.04	17%	14 Sept →
mirage	7–13	-0.02	23%	14 Sept →
dust2	4–13	-0.02	33%	14 Sept →
dust2	13–8	0.10	25%	14 Sept →
dust2	13–9	-0.00	24%	14 Sept →
dust2	13–5	0.13	18%	10 Sept →
vertigo	1–13	0.02	50%	10 Sept →
dust2	13–7	0.05	20%	10 Sept →
cache	7–13	-0.04	18%	8 Sept →
dust2	2–13	-0.06	27%	8 Sept →
ancient	4–13	-0.06	7%	8 Sept →
dust2	13–4	0.04	27%	8 Sept →
dust2	9–13	0.03	20%	7 Sept →
dust2	12–12	0.01	23%	7 Sept →
dust2	13–4	0.08	21%	6 Sept →
anubis	14–16	0.01	22%	5 Sept →
vertigo	13–4	0.03	18%	4 Sept →
fachwerk	4–13	0.03	23%	4 Sept →
dust2	8–13	-0.01	15%	3 Sept →
inferno	13–5	0.07	23%	3 Sept →
cache	5–13	-0.01	39%	3 Sept →
anubis	5–13	0.03	29%	3 Sept →
dust2	3–12	0.10	55%	3 Sept →
dust2	13–7	0.02	33%	3 Sept →
dust2	13–8	-0.04	20%	3 Sept →
dust2	13–11	0.12	24%	2 Sept →
cache	5–13	-0.00	32%	2 Sept →
anubis	5–13	0.01	23%	2 Sept →
dust2	11–13	0.01	30%	2 Sept →
inferno	13–7	0.04	29%	30 Aug →
dust2	11–13	-0.05	24%	29 Aug →
mirage	14–16	0.06	21%	26 Aug →
cache	8–13	0.05	42%	18 Aug →
dust2	15–15	0.06	21%	17 Aug →
mirage	13–7	-0.01	21%	17 Aug →
cache	13–11	0.03	27%	12 Aug →
mirage	13–11	0.07	26%	12 Aug →
fachwerk	13–10	0.12	41%	3 Aug →
anubis	7–13	-0.04	18%	3 Aug →
dust2	9–13	0.08	31%	3 Aug →
dust2	13–10	0.07	25%	2 Aug →
mirage	13–10	0.03	34%	1 Aug →
nuke	8–13	-0.03	41%	1 Aug →
dust2	13–4	0.06	25%	1 Aug →
anubis	8–13	-0.02	28%	27 Jul →
cache	1–13	-0.07	31%	24 Jul →
dust2	1–13	-0.07	60%	22 Jul →
fachwerk	13–1	0.11	42%	21 Jul →
fachwerk	13–10	0.05	43%	21 Jul →
dust2	13–2	0.07	26%	21 Jul →
dust2	13–1	0.09	24%	20 Jul →
dust2	13–11	0.04	19%	20 Jul →
dust2	3–13	-0.09	29%	16 Jul →
ancient	13–9	0.08	18%	13 Jul →
cache	13–6	0.07	29%	10 Jul →
cache	5–13	0.04	30%	10 Jul →
dust2	7–13	-0.01	33%	10 Jul →
cache	13–10	0.04	22%	9 Jul →
train	9–13	0.03	20%	8 Jul →
train	13–9	0.11	25%	4 Jul →
dust2	10–13	0.11	39%	4 Jul →
cache	8–13	0.05	31%	3 Jul →
dust2	13–11	-0.02	10%	3 Jul →
cache	13–5	0.14	27%	2 Jul →
dust2	9–13	-0.00	25%	2 Jul →
dust2	10–13	0.03	28%	28 Jun →
dust2	5–13	-0.05	41%	25 Jun →
dust2	9–1	0.10	27%	25 Jun →
ancient	9–13	0.07	23%	23 Jun →
cache	6–13	0.05	19%	23 Jun →
dust2	3–13	-0.01	29%	23 Jun →
mirage	2–13	0.00	9%	17 Jun →
anubis	13–2	0.00	21%	14 Jun →
dust2	4–13	0.08	24%	11 Jun →
dust2	16–14	0.02	25%	11 Jun →
dust2	6–13	0.09	29%	10 Jun →
dust2	13–10	0.08	26%	10 Jun →
mirage	9–13	0.03	48%	9 Jun →
mirage	13–16	0.07	25%	9 Jun →
mirage	10–13	0.06	17%	8 Jun →
nuke	1–13	0.03	28%	8 Jun →
dust2	7–13	0.01	31%	7 Jun →
inferno	2–13	-0.01	16%	7 Jun →
ancient	2–13	-0.12	40%	4 Jun →
mirage	13–11	-0.02	17%	4 Jun →
dust2	7–13	0.05	21%	4 Jun →
mirage	11–13	-0.00	19%	3 Jun →
ancient	9–13	0.06	22%	3 Jun →