jasteck — CS2 Stats

76561199850709484[U:1:1890443756]Steam profile ↗

290Tracked matches67%Win rate2025Tracked since

731Hours in CS

CSDB Rating5.2 DevelopingPassive Rifler

FaceitLevel 8 · 1,793 ELOTop 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning26

Utility31

0–100 skill scores via Leetify.

Recent form

COLD59–37–4Last 10059%Win rateLTLWWTWLLL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim7.4

Aggression1.7

Utility3.1

Positioning2.6

Opening Duels0.0

Clutch4.0

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.

Your pro match

Plays most like NiKo 73% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower 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

Areas to improve

Positioning. Positioning trails aim by 48 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 35% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim7.4

Positioning2.6

Utility3.1

Mechanics8.0

Opening Duels0.7

Win Impact10.0

Composite 5.2/10 (Developing), 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 rating-0.04−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.04

Reaction time642ms+46ms

first ⅓ avg 596ms → last ⅓ avg 642ms

Headshot accuracy21.3%−1.6%

first ⅓ avg 22.9% → last ⅓ avg 21.3%

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.

Highlights

0.09Best rating — anubis 13–5

13–0Biggest win — ancient

9Longest win streak

3–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 100% over 6anubisWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	32	18–14	56%	-0.03
dust2	S	22	17–5	77%	-0.03
anubis	D	13	3–10	23%	-0.03
cache	C	10	4–6	40%	-0.02
vertigo	S	6	4–2	67%	-0.03
inferno	S	6	4–2	67%	-0.05
ancient	S	6	6–0	100%	-0.01
train	—	2	0–2	0%	0.02
nuke	—	2	2–0	100%	-0.07
overpass	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,597Lifetime kills

0.98K/D

899Matches

60.5%Match win rate · Top 5% of tracked players

63.5%Headshot % · Top 5% of tracked players

0.2%Shot accuracy

3,696MVPs

731Hours (in match)

812Bombs planted

360Bombs defused

Most-used weapons

AK-476,741

Desert Eagle3,892

AWP3,242

M4A4 / M4A1-S2,189

SSG 081,095

P2000 / USP-S660

Glock-18315

Knife235

Galil AR232

FAMAS164

Lifetime map wins

2,136inferno

1,364dust2

299nuke

209vertigo

141train

36office

1ar_shoots

1ar_baggage

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

Faceit stats

Combat

154Matches

51%Win rate

1.04Avg K/D

84.0ADR

51%Headshot %

Clutches & streaks

40%1v1 clutch win

24%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	59	47%	1.01	15.8
Dust2	32	66%	1.10	16.7
Anubis	24	54%	1.08	17.1
Ancient	15	60%	1.15	16.7
Nuke	10	40%	0.97	14.4
Inferno	7	29%	0.91	16.0
Overpass	6	17%	0.86	16.5
Cache	1	0%	0.82	14.0

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.

22.1%Headshot accuracy

29.2%Accuracy (enemy spotted)

33.9%Spray accuracy

86.0%Counter-strafing

7.6°Preaim

601msReaction time

16.3%T opening success

35.2%CT opening success

0.32Enemies flashed / flash

2.7%Flash assists

7.68HE damage / grenade

5.70Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3207 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 16.2904% — below the 40% mark we flag

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.

23% win rate across 13 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	0–2	-0.08	0%	22 Aug →
mirage	12–12	-0.00	13%	12 Aug →
train	10–13	0.06	28%	12 Aug →
vertigo	13–4	0.04	13%	29 Jul →
vertigo	13–8	-0.01	19%	29 Jul →
vertigo	12–12	-0.01	20%	29 Jul →
mirage	13–8	-0.05	29%	28 Jul →
anubis	9–13	-0.08	26%	25 Jul →
anubis	5–13	-0.07	20%	25 Jul →
anubis	4–13	-0.02	13%	25 Jul →
mirage	0–13	-0.12	50%	16 Jul →
mirage	11–13	0.00	14%	16 Jul →
cache	13–6	-0.00	13%	15 Jul →
dust2	13–11	-0.01	22%	14 Jul →
cache	15–15	0.02	29%	11 Jul →
inferno	13–5	0.01	28%	9 Jul →
dust2	13–3	-0.09	67%	5 Jul →
mirage	9–1	-0.02	35%	4 Jul →
dust2	5–13	-0.09	33%	4 Jul →
ancient	6–0	0.05	23%	4 Jul →
ancient	13–0	-0.05	22%	4 Jul →
anubis	13–3	-0.05	0%	3 Jul →
overpass	13–4	-0.06	60%	3 Jul →
ancient	13–1	-0.12	14%	3 Jul →
nuke	13–0	-0.06	13%	3 Jul →
dust2	13–1	-0.07	39%	3 Jul →
inferno	13–3	-0.06	6%	3 Jul →
dust2	13–1	-0.01	0%	3 Jul →
mirage	4–13	-0.07	0%	3 Jul →
mirage	13–5	-0.11	5%	3 Jul →
mirage	13–0	-0.06	25%	3 Jul →
mirage	13–0	-0.04	0%	3 Jul →
dust2	13–0	-0.04	22%	3 Jul →
anubis	13–0	0.03	17%	2 Jul →
dust2	13–0	-0.07	10%	2 Jul →
nuke	13–11	-0.08	100%	2 Jul →
dust2	13–0	-0.08	10%	2 Jul →
dust2	13–2	-0.04	15%	2 Jul →
mirage	1–13	-0.20	0%	2 Jul →
dust2	13–1	0.01	13%	1 Jul →
mirage	13–0	-0.07	14%	1 Jul →
mirage	13–1	0.01	19%	1 Jul →
mirage	13–2	-0.13	10%	1 Jul →
mirage	8–0	-0.01	9%	1 Jul →
anubis	2–7	-0.11	0%	1 Jul →
dust2	13–2	-0.06	21%	1 Jul →
dust2	13–0	-0.07	14%	1 Jul →
mirage	13–1	-0.13	12%	1 Jul →
ancient	13–3	-0.06	12%	1 Jul →
mirage	6–0	-0.04	0%	1 Jul →
mirage	11–13	0.00	21%	27 Jun →
dust2	13–5	0.07	19%	27 Jun →
anubis	10–13	-0.02	16%	26 Jun →
dust2	13–7	-0.03	19%	26 Jun →
dust2	4–13	-0.05	17%	25 Jun →
mirage	2–13	-0.08	33%	24 Jun →
mirage	6–13	0.05	25%	24 Jun →
mirage	13–10	0.02	28%	24 Jun →
mirage	6–13	-0.04	8%	22 Jun →
ancient	13–5	0.05	43%	19 Jun →
train	12–12	-0.02	24%	17 Jun →
mirage	8–13	-0.06	17%	17 Jun →
mirage	13–7	0.08	19%	16 Jun →
mirage	10–13	-0.03	24%	14 Jun →
inferno	5–9	-0.01	25%	11 Jun →
inferno	0–9	-0.28	0%	11 Jun →
mirage	4–13	-0.04	17%	11 Jun →
mirage	12–3	-0.02	18%	10 Jun →
mirage	13–7	0.02	29%	10 Jun →
anubis	5–13	-0.04	21%	5 Jun →
vertigo	13–10	-0.03	21%	3 Jun →
vertigo	13–5	-0.07	2%	3 Jun →
vertigo	0–13	-0.11	0%	3 Jun →
anubis	11–13	0.05	20%	27 May →
anubis	13–5	0.09	15%	27 May →
anubis	0–13	-0.05	19%	27 May →
anubis	5–13	-0.10	9%	27 May →
anubis	9–13	-0.06	9%	27 May →
cache	3–13	-0.01	11%	24 May →
dust2	13–11	-0.04	15%	24 May →
mirage	4–13	0.01	26%	24 May →
mirage	8–3	0.01	67%	24 May →
inferno	9–3	0.05	12%	14 May →
dust2	7–13	-0.03	33%	14 May →
mirage	2–13	-0.00	32%	12 May →
cache	11–13	0.04	50%	12 May →
cache	13–1	-0.03	46%	12 May →
inferno	9–6	-0.02	13%	8 May →
cache	13–8	-0.04	29%	8 May →
cache	4–13	-0.09	26%	6 May →
cache	1–7	-0.05	36%	6 May →
cache	13–10	0.01	26%	6 May →
cache	2–13	-0.05	17%	6 May →
dust2	13–8	0.02	14%	6 May →
mirage	13–7	0.01	24%	6 May →
dust2	13–2	0.02	18%	6 May →
dust2	13–6	0.04	20%	5 May →
mirage	13–5	0.01	28%	5 May →
dust2	6–13	-0.04	20%	5 May →
ancient	13–10	0.05	32%	3 May →