Pastrysqueezer ツ — CS2 Stats

US76561198087201783[U:1:126936055]Steam profile ↗

753Tracked matches48%Win rate2022Tracked since

CSDB Rating5.4 DevelopingPassive Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning41

Utility63

0–100 skill scores via Leetify.

Recent form

COLD55–37–8Last 10055%Win rateLLLWWLWTLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim6.6

Aggression3.8

Utility6.3

Positioning4.1

Opening Duels0.5

Clutch3.2

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 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower aim 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

T-side openings. Opening success drops from 41% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim6.6

Positioning4.1

Utility6.3

Mechanics7.0

Opening Duels1.3

Win Impact4.4

Composite 5.4/10 (Developing), 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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time631ms+37ms

first ⅓ avg 594ms → last ⅓ avg 631ms

Headshot accuracy18.1%+0.4%

first ⅓ avg 17.7% → last ⅓ avg 18.1%

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.

Highlights

0.36Best rating — nuke 9–2

13–0Biggest win — overpass

5Longest win streak

L3Current streak

13–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 67% over 15dust2Weakest map · 42% over 19

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	20	12–8	60%	0.02
dust2	C	19	8–11	42%	0.01
inferno	A	18	10–8	56%	0.02
nuke	S	15	10–5	67%	0.06
cache	B	14	7–7	50%	0.01
overpass	B	6	3–3	50%	0.01
anubis	—	3	2–1	67%	0.06
vertigo	—	2	0–2	0%	0.07
train	—	2	2–0	100%	0.07
ancient	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

214Matches

48%Win rate

1.40Avg K/D

79.8ADR

40%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	48%	1.00	15.0
Dust2	17	53%	1.24	15.1
Inferno	16	62%	1.42	17.2
Nuke	13	31%	1.13	17.8
Overpass	4	50%	1.12	18.0
Ancient	3	0%	0.98	15.7
Anubis	3	100%	1.22	16.3
Vertigo	2	0%	0.84	14.5

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.

17.4%Headshot accuracy

33.8%Accuracy (enemy spotted)

33.8%Spray accuracy

81.5%Counter-strafing

9.1°Preaim

621msReaction time

23.7%T opening success

40.7%CT opening success

0.60Enemies flashed / flash

3.6%Flash assists

6.70HE damage / grenade

13.08Flashes / 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.

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 23.6566% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	-0.04	26%	12 Jul →
mirage	6–13	0.00	12%	12 Jul →
cache	4–13	-0.07	13%	12 Jul →
nuke	13–11	0.01	13%	12 Jul →
inferno	16–14	-0.01	9%	12 Jul →
dust2	8–13	0.05	25%	12 Jul →
nuke	13–11	0.08	14%	12 Jul →
nuke	15–15	-0.02	16%	12 Jul →
cache	6–13	0.05	23%	10 Jul →
mirage	6–13	0.02	15%	10 Jul →
cache	13–5	0.02	30%	10 Jul →
inferno	13–10	0.01	10%	10 Jul →
dust2	10–13	0.02	21%	10 Jul →
mirage	7–13	-0.03	10%	10 Jul →
mirage	13–3	0.15	13%	10 Jul →
cache	12–16	0.05	16%	10 Jul →
dust2	9–13	-0.01	18%	10 Jul →
dust2	6–13	0.03	12%	10 Jul →
cache	13–8	0.05	18%	9 Jul →
mirage	13–9	0.06	25%	8 Jul →
mirage	13–5	0.07	28%	8 Jul →
inferno	13–1	0.11	34%	8 Jul →
cache	9–13	-0.08	19%	3 Jul →
dust2	14–16	0.02	15%	3 Jul →
overpass	8–13	-0.07	14%	28 Jun →
nuke	13–5	0.04	37%	28 Jun →
nuke	13–7	0.05	9%	28 Jun →
overpass	13–5	-0.03	15%	28 Jun →
dust2	13–8	-0.00	19%	28 Jun →
mirage	9–13	0.02	8%	28 Jun →
cache	13–10	0.09	23%	28 Jun →
mirage	11–13	-0.03	20%	27 Jun →
mirage	13–4	0.03	18%	27 Jun →
dust2	12–12	0.04	27%	27 Jun →
dust2	2–13	-0.01	22%	24 Jun →
overpass	8–13	-0.05	21%	24 Jun →
inferno	13–6	-0.05	20%	24 Jun →
dust2	13–11	0.01	13%	22 Jun →
mirage	11–13	-0.04	13%	22 Jun →
dust2	12–16	-0.05	10%	22 Jun →
inferno	8–13	0.00	27%	19 Jun →
dust2	13–6	0.00	15%	14 Jun →
mirage	13–9	-0.01	27%	14 Jun →
inferno	9–13	-0.06	23%	14 Jun →
nuke	13–11	-0.02	16%	13 Jun →
inferno	13–10	0.04	12%	13 Jun →
mirage	13–6	0.05	18%	13 Jun →
nuke	13–11	0.00	15%	10 Jun →
mirage	13–9	0.05	14%	10 Jun →
vertigo	12–12	0.17	16%	3 Jun →
cache	13–8	0.03	16%	31 May →
dust2	7–13	0.03	7%	31 May →
inferno	12–12	-0.03	4%	31 May →
mirage	13–1	0.03	10%	31 May →
nuke	12–12	0.02	21%	31 May →
train	13–3	0.00	25%	31 May →
cache	9–13	-0.02	20%	31 May →
dust2	13–6	0.03	47%	31 May →
anubis	4–13	-0.01	20%	28 May →
nuke	13–3	0.11	16%	28 May →
dust2	13–7	0.04	23%	28 May →
train	13–7	0.14	15%	28 May →
anubis	13–7	0.12	17%	27 May →
inferno	0–13	-0.06	30%	23 May →
nuke	11–13	0.01	17%	23 May →
cache	2–13	-0.12	0%	23 May →
nuke	13–6	0.11	25%	23 May →
nuke	13–7	0.15	21%	23 May →
cache	13–9	0.08	22%	23 May →
nuke	9–2	0.36	11%	22 May →
inferno	8–8	0.09	20%	22 May →
inferno	7–13	0.03	8%	22 May →
nuke	8–13	0.02	16%	17 May →
inferno	12–12	0.01	15%	17 May →
cache	13–9	0.04	31%	13 May →
cache	13–4	-0.00	19%	6 May →
ancient	13–11	0.03	15%	28 Apr →
dust2	13–6	0.02	15%	28 Apr →
overpass	9–13	0.09	11%	28 Apr →
anubis	13–11	0.05	19%	28 Apr →
inferno	10–13	-0.01	18%	25 Apr →
mirage	13–8	0.06	10%	22 Apr →
dust2	7–13	-0.02	7%	19 Apr →
mirage	12–12	0.04	14%	19 Apr →
inferno	13–3	0.03	21%	19 Apr →
nuke	10–13	-0.01	13%	19 Apr →
inferno	13–3	0.05	31%	18 Apr →
inferno	13–11	0.10	21%	15 Apr →
vertigo	8–13	-0.04	21%	15 Apr →
overpass	13–0	0.15	5%	15 Apr →
dust2	13–3	0.05	22%	15 Apr →
mirage	3–13	-0.00	23%	15 Apr →
mirage	13–8	0.04	10%	15 Apr →
overpass	16–14	-0.02	26%	13 Apr →
inferno	13–11	0.01	15%	13 Apr →
dust2	13–8	0.01	23%	13 Apr →
dust2	10–13	-0.05	27%	13 Apr →
mirage	16–12	0.03	16%	13 Apr →
inferno	13–11	0.03	22%	13 Apr →
mirage	13–11	-0.03	18%	8 Apr →