Pierog1735 — CS2 Stats

76561199052339409[U:1:1092073681]

204Tracked matches34%Win rate2024Tracked since

CSDB Rating3.7 LearningPassive Rifler

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim64

Positioning34

Utility4

0–100 skill scores via Leetify.

Recent form

COLD35–60–5Last 10035%Win rateLLLLLWWLLW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim6.4

Aggression3.9

Utility0.4

Positioning3.4

Opening Duels0.3

Clutch6.0

Limited utility dependence

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 72% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 730ms 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

Aim6.4

Positioning3.4

Utility0.4

Mechanics6.4

Opening Duels0.3

Win Impact0.0

Composite 3.7/10 (Learning), 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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time734ms−14ms

first ⅓ avg 748ms → last ⅓ avg 734ms

Headshot accuracy20.4%+0.5%

first ⅓ avg 19.8% → last ⅓ avg 20.4%

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

0.15Best rating — mirage 13–7

13–0Biggest win — nuke

3Longest win streak

L5Current streak

5–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 50% over 6cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	10–13	43%	-0.04
ancient	D	21	6–15	29%	-0.03
dust2	C	15	6–9	40%	-0.03
anubis	D	11	3–8	27%	-0.02
nuke	C	8	3–5	38%	-0.03
cache	D	6	1–5	17%	-0.02
inferno	B	6	3–3	50%	-0.00
vertigo	—	4	2–2	50%	-0.04
train	—	3	1–2	33%	-0.02
office	—	2	0–2	0%	-0.07
warden	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

8Matches

62%Win rate

0.56Avg K/D

54.8ADR

59%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	4	75%	0.41	9.0
Mirage	2	50%	0.56	10.0
Dust2	1	100%	1.11	10.0
Anubis	1	0%	0.60	9.0

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.

20.7%Headshot accuracy

36.0%Accuracy (enemy spotted)

34.7%Spray accuracy

78.6%Counter-strafing

8.5°Preaim

730msReaction time

32.3%T opening success

30.0%CT opening success

0.05Enemies flashed / flash

3.7%Flash assists

0.53HE damage / grenade

0.31Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 729.9765ms — above the 700ms mark we flag
Aim Training →
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 0.0466 — 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 32.3247% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.02	25%	27 Aug →
cache	8–13	0.01	19%	27 Aug →
anubis	9–13	-0.06	28%	22 Aug →
dust2	10–13	-0.01	27%	22 Aug →
dust2	8–13	-0.05	13%	13 Aug →
mirage	13–3	0.03	33%	13 Aug →
mirage	13–10	0.01	21%	12 Aug →
mirage	3–13	-0.14	5%	12 Aug →
nuke	11–13	-0.01	22%	6 Aug →
ancient	16–13	-0.04	21%	4 Aug →
ancient	1–13	-0.07	19%	4 Aug →
office	3–13	-0.08	21%	4 Aug →
mirage	4–13	-0.12	14%	4 Aug →
mirage	13–9	-0.02	22%	28 Jul →
inferno	13–8	-0.02	13%	2 Jul →
mirage	8–13	-0.06	21%	1 Jul →
ancient	12–12	-0.03	17%	1 Jul →
mirage	8–4	-0.04	15%	1 Jul →
mirage	3–13	-0.05	20%	26 Jun →
nuke	5–13	-0.00	13%	24 Jun →
mirage	1–13	-0.02	10%	24 Jun →
mirage	13–11	-0.05	22%	24 Jun →
dust2	13–7	-0.03	22%	17 Jun →
nuke	13–9	-0.06	15%	16 Jun →
ancient	10–13	0.02	18%	16 Jun →
mirage	3–13	-0.10	29%	16 Jun →
cache	7–13	-0.05	33%	16 Jun →
ancient	3–13	-0.08	30%	16 Jun →
cache	13–6	0.04	29%	25 May →
ancient	9–13	0.10	19%	25 May →
mirage	13–7	0.15	22%	22 May →
anubis	13–5	0.04	19%	22 May →
ancient	13–1	0.08	16%	22 May →
ancient	4–13	-0.11	25%	22 May →
cache	6–13	-0.06	13%	22 May →
mirage	13–11	-0.07	28%	21 May →
mirage	9–13	-0.04	10%	17 May →
cache	8–13	-0.01	18%	17 May →
dust2	3–13	0.04	22%	17 May →
ancient	3–13	-0.09	36%	15 May →
dust2	13–6	-0.04	20%	15 May →
cache	3–13	-0.04	27%	15 May →
anubis	10–13	-0.04	30%	15 May →
dust2	9–13	-0.04	24%	29 Apr →
office	4–13	-0.05	18%	28 Apr →
anubis	13–11	-0.01	13%	25 Apr →
inferno	13–5	0.09	8%	25 Apr →
mirage	13–5	0.01	15%	22 Apr →
anubis	2–13	-0.03	16%	22 Apr →
mirage	13–9	-0.01	26%	22 Apr →
ancient	13–9	-0.01	21%	14 Apr →
inferno	5–13	0.05	12%	14 Apr →
dust2	0–13	-0.09	18%	13 Apr →
mirage	8–13	-0.05	16%	8 Apr →
dust2	0–13	-0.02	35%	24 Mar →
anubis	10–13	-0.06	18%	21 Mar →
dust2	11–13	-0.03	19%	18 Mar →
vertigo	6–13	-0.07	13%	18 Mar →
mirage	2–13	-0.10	13%	16 Mar →
vertigo	7–13	-0.06	35%	16 Mar →
anubis	7–13	0.02	23%	15 Mar →
vertigo	13–5	-0.05	23%	15 Mar →
ancient	5–12	-0.13	0%	15 Mar →
dust2	3–13	-0.02	29%	15 Mar →
warden	9–13	-0.05	18%	15 Mar →
ancient	12–16	-0.01	11%	12 Mar →
nuke	6–13	-0.05	21%	12 Mar →
anubis	4–13	-0.02	12%	11 Mar →
mirage	2–13	-0.07	21%	7 Mar →
train	13–6	0.04	24%	6 Mar →
anubis	13–9	-0.00	22%	5 Mar →
anubis	12–12	-0.06	15%	1 Mar →
mirage	12–12	-0.07	18%	28 Feb →
inferno	13–4	-0.01	20%	28 Feb →
ancient	2–13	-0.08	26%	28 Feb →
anubis	5–13	-0.05	16%	21 Feb →
train	2–13	-0.07	50%	21 Feb →
dust2	13–7	-0.08	24%	5 Feb →
nuke	13–0	-0.02	29%	5 Feb →
nuke	7–13	-0.07	2%	4 Feb →
ancient	5–13	-0.07	9%	2 Feb →
dust2	13–10	-0.04	17%	28 Jan →
mirage	13–11	-0.02	17%	16 Jan →
nuke	4–13	-0.02	34%	15 Jan →
ancient	5–13	-0.09	19%	15 Jan →
ancient	13–4	0.03	12%	15 Jan →
nuke	13–11	-0.02	14%	15 Jan →
ancient	3–13	-0.06	26%	8 Jan →
ancient	13–7	0.04	12%	26 Dec →
mirage	8–13	-0.05	28%	23 Dec →
vertigo	13–0	0.04	15%	23 Dec →
inferno	12–12	-0.06	13%	11 Dec →
ancient	11–13	0.03	9%	10 Dec →
inferno	5–13	-0.07	24%	9 Dec →
dust2	13–10	0.02	31%	9 Dec →
ancient	15–15	-0.03	9%	9 Dec →
ancient	13–7	-0.01	13%	9 Dec →
mirage	8–13	-0.00	25%	9 Dec →
train	9–13	-0.03	15%	9 Dec →
dust2	13–3	0.02	33%	9 Dec →