Patzi — CS2 Stats

DK76561198845257173[U:1:884991445]Steam profile ↗✓ No bans

2,811Tracked matches70%Win rate2020Tracked since

4,172Hours in CS

CSDB Rating7.1 StrongPositional Player

CSDB Leaderboard#233978 of 259613 tracked

FaceitLevel 10 · 1,950 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,950 → 1,950

+7Tracked matches · now 2,811

+3.3ppWin rate · 66.7% → 70.0%

Rating over time

Premier CS Rating: 23,474 +1,457 18 Sept – 15 Dec · 12 days played

Faceit ELO: 1,950 +0 11 Sept – 18 Sept · 2 observations

23,580Peak Premier in tracked matches

1,950Highest Faceit ELO seen on CSDB

73Days played since 2025-09-08

Faceit ELO

At peak — 1,950
Next: Level 10 at 2,001 — 51 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-11
Level 8 first seen 2026-09-11

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	67.8%	50.9%
Shot accuracy	9.1%	13.7%
Kill/death ratio	1.30	1.09
Match win rate	48.6%	48.4%

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Performance scores

Aim85

Positioning69

Utility55

0–100 skill scores via Leetify.

Recent form

HOT59–39–2Last 10059%Win rateLWWWWWLLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −4.0pp headshot accuracy · −47ms reaction

Win rate 0pp 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 0.08
Avg headshot accuracy 29%
Avg reaction 586ms

Last 10

7–3 · 70% win rate
Avg rating 0.04
Avg headshot accuracy 25%
Avg reaction 567ms

Last 20

14–6 · 70% win rate
Avg rating 0.03
Avg headshot accuracy 27%
Avg reaction 590ms

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 (+1.3 against its own average).

Aim8.5

Utility5.5

Positioning6.9

Opening Duels6.6

Clutch3.4

Sharp aimer

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 s1mple 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success.

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 85 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 591ms 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

Aim8.5

Positioning6.9

Utility5.5

Mechanics7.5

Opening Duels6.1

Win Impact10.0

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time582ms−21ms

first ⅓ avg 603ms → last ⅓ avg 582ms

Headshot accuracy26.1%−4.9%

first ⅓ avg 31.0% → last ⅓ avg 26.1%

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

0.15Best match rating · 13–6 · dirty1v1, 18 Dec →

67%Best headshot accuracy · 7–13 · nuke, 11 Sept →

273msFastest reaction time · 0–3 · mirage, 1 Jul →

13–2Biggest win · nuke, 14 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

12–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 100% over 5infernoWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	20	11–9	55%	0.02
mirage	B	17	8–9	47%	-0.00
nuke	S	15	11–4	73%	0.04
overpass	A	15	9–6	60%	0.01
inferno	C	7	3–4	43%	-0.02
anubis	S	6	4–2	67%	0.01
cache	S	5	5–0	100%	0.05
dust2	—	3	1–2	33%	0.04
vertigo	—	3	1–2	33%	-0.01
train	—	3	2–1	67%	-0.00
dirty1v1	—	2	2–0	100%	0.13
warden	—	1	0–1	0%	-0.06
season_d_prefab	—	1	1–0	100%	-0.07
cache_b	—	1	1–0	100%	-0.03
cbble_d	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

199,909Lifetime kills

1.30K/D · Top 25% of Level 10 players

4,364Matches

48.6%Match win rate · Top 50% of Level 10 players

67.8%Headshot % · Top 5% of Level 10 players

9.1%Shot accuracy

14,657MVPs

4,172Hours (in match)

3,512Bombs planted

3,385Bombs defused

Most-used weapons

AK-47116,692

M4A4 / M4A1-S19,859

Desert Eagle19,614

AWP14,444

P2000 / USP-S8,397

Glock-185,017

Galil AR2,278

Knife2,220

SSG 081,722

P2501,420

Lifetime map wins

8,865vertigo

6,454inferno

6,449nuke

1,993dust2

687train

331cbble

127lake

53office

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

Faceit stats

Combat

2,272Matches

53%Win rate

1.06Avg K/D

74.3ADR

53%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	317	56%	1.06	15.5
Anubis	182	57%	1.10	15.7
Mirage	145	43%	0.96	14.7
Nuke	115	62%	1.17	15.6
Overpass	98	61%	1.04	14.4
Vertigo	84	55%	1.02	15.4
Inferno	60	43%	1.00	15.2
Dust2	24	38%	0.78	11.8

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.

25.4%Headshot accuracy

36.6%Accuracy (enemy spotted)

37.5%Spray accuracy

83.6%Counter-strafing

8.3°Preaim

591msReaction time

58.6%T opening success

49.8%CT opening success

0.53Enemies flashed / flash

6.2%Flash assists

7.40HE damage / grenade

9.38Flashes / 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.

43% win rate across 7 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	5–13	0.10	30%	1 Nov →
cache	13–10	0.10	27%	31 Oct →
vertigo	13–5	0.03	27%	14 Oct →
dust2	13–6	0.07	32%	14 Oct →
nuke	13–10	0.09	27%	14 Oct →
nuke	13–2	0.10	31%	14 Oct →
mirage	3–13	-0.04	17%	14 Oct →
nuke	14–16	-0.05	17%	24 Aug →
cache	13–11	0.01	21%	11 Aug →
nuke	16–13	-0.02	16%	7 Aug →
vertigo	11–13	-0.03	33%	5 Aug →
inferno	13–11	-0.01	24%	4 Aug →
inferno	1–13	-0.02	24%	22 Jul →
ancient	7–13	0.03	35%	21 Jul →
mirage	13–9	-0.05	23%	17 Jul →
cache	13–10	-0.01	24%	15 Jul →
ancient	13–5	0.03	34%	14 Jul →
cache	13–8	0.02	35%	11 Jul →
cache	13–8	0.11	29%	10 Jul →
nuke	13–5	0.12	26%	9 Jul →
inferno	13–4	0.04	25%	8 Jul →
ancient	6–13	-0.01	41%	5 Jul →
mirage	13–6	0.04	21%	4 Jul →
ancient	13–8	-0.02	23%	2 Jul →
mirage	0–3	-0.06	40%	1 Jul →
ancient	2–13	-0.09	17%	1 Jul →
anubis	13–11	0.02	16%	12 Jun →
mirage	13–7	0.01	16%	30 May →
anubis	13–7	-0.01	36%	3 May →
inferno	13–7	0.06	19%	26 Apr →
mirage	13–10	0.01	30%	26 Apr →
anubis	6–13	-0.02	24%	16 Apr →
overpass	13–11	0.03	22%	14 Apr →
nuke	13–9	0.01	27%	11 Apr →
overpass	13–9	0.06	29%	11 Apr →
anubis	7–13	0.01	33%	8 Apr →
mirage	8–13	-0.01	27%	8 Apr →
overpass	13–3	0.12	35%	7 Apr →
mirage	13–8	0.01	25%	7 Apr →
ancient	13–8	0.11	28%	7 Apr →
ancient	11–13	-0.01	19%	29 Mar →
ancient	10–13	0.00	31%	18 Mar →
anubis	13–11	0.01	34%	17 Mar →
warden	1–13	-0.06	18%	14 Mar →
overpass	4–13	-0.04	16%	13 Mar →
ancient	11–13	0.00	51%	11 Mar →
mirage	9–13	-0.05	20%	9 Mar →
ancient	13–7	0.05	26%	6 Mar →
anubis	13–11	0.06	26%	4 Mar →
ancient	16–14	-0.00	18%	22 Feb →
inferno	15–15	0.02	35%	22 Feb →
mirage	10–13	-0.03	25%	16 Jan →
inferno	1–9	-0.19	15%	6 Jan →
dust2	3–13	-0.06	39%	6 Jan →
inferno	7–13	-0.02	7%	3 Jan →
overpass	7–13	-0.03	31%	3 Jan →
train	13–11	0.03	12%	30 Dec →
mirage	6–13	-0.01	32%	27 Dec →
season_d_prefab	19–17	-0.07	33%	26 Dec →
mirage	15–15	0.05	27%	25 Dec →
ancient	10–13	-0.04	31%	23 Dec →
vertigo	7–13	-0.03	22%	22 Dec →
cache_b	13–10	-0.03	16%	20 Dec →
nuke	11–13	-0.03	39%	20 Dec →
ancient	13–9	0.04	29%	18 Dec →
cbble_d	10–13	-0.07	19%	18 Dec →
nuke	13–6	0.05	30%	18 Dec →
ancient	9–13	0.01	27%	18 Dec →
dirty1v1	13–8	0.10	37%	18 Dec →
dirty1v1	13–6	0.15	55%	18 Dec →
train	13–8	-0.03	31%	18 Dec →
mirage	3–13	-0.08	26%	15 Dec →
nuke	13–10	-0.04	20%	14 Dec →
mirage	13–10	0.09	32%	1 Dec →
overpass	13–11	0.00	14%	23 Nov →
ancient	13–7	0.04	52%	22 Nov →
overpass	16–12	-0.00	27%	30 Oct →
overpass	16–14	0.04	36%	29 Oct →
mirage	13–10	0.04	46%	25 Oct →
nuke	10–13	0.00	39%	24 Oct →
overpass	7–13	0.02	30%	21 Oct →
nuke	16–13	0.08	22%	16 Oct →
ancient	5–13	0.03	24%	9 Oct →
overpass	13–7	-0.01	28%	7 Oct →
train	4–13	-0.01	17%	7 Oct →
ancient	13–9	0.03	25%	30 Sept →
overpass	5–13	-0.02	41%	23 Sept →
overpass	8–1	0.01	14%	18 Sept →
nuke	13–3	0.08	19%	18 Sept →
mirage	10–13	-0.03	20%	16 Sept →
ancient	13–11	0.05	36%	16 Sept →
overpass	11–13	-0.01	20%	12 Sept →
nuke	7–13	0.01	67%	11 Sept →
nuke	13–4	0.14	30%	11 Sept →
mirage	13–8	0.05	21%	10 Sept →
nuke	13–7	0.07	33%	9 Sept →
overpass	0–9	-0.03	42%	8 Sept →
ancient	13–9	0.00	39%	8 Sept →
overpass	13–9	0.01	32%	8 Sept →
ancient	13–3	0.06	23%	8 Sept →