GaszE PetY — CS2 Stats

PL76561198212829032[U:1:252563304]Steam profile ↗✓ No bans

1,160Tracked matches50%Win rate2021Tracked since

CSDB Rating5.0 DevelopingPassive Rifler

Premier CS Rating22,299Top 50% of 17,162 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)

CSDB Leaderboard#9220 of 33676 tracked

FaceitLevel 4 · 1,263 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning35

Utility49

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateWLLLLWLLLW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim6.3

Aggression3.2

Utility4.9

Positioning3.5

Opening Duels0.6

Clutch4.0

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 80% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 623ms 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

Aim6.3

Positioning3.5

Utility4.9

Mechanics6.4

Opening Duels0.7

Win Impact5.0

Composite 5.0/10 (Developing), 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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time615ms−21ms

first ⅓ avg 636ms → last ⅓ avg 615ms

Headshot accuracy15.8%−3.8%

first ⅓ avg 19.6% → last ⅓ avg 15.8%

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

0.11Best rating — inferno 13–3

13–2Biggest win — dust2

5Longest win streak

5–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 61% over 18infernoWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	18	9–9	50%	-0.03
mirage	A	18	11–7	61%	-0.00
inferno	C	14	5–9	36%	-0.02
cache	B	14	7–7	50%	-0.00
anubis	B	13	7–6	54%	-0.02
ancient	A	11	6–5	55%	-0.00
nuke	C	5	2–3	40%	-0.04
overpass	—	4	2–2	50%	0.01
office	—	2	0–2	0%	-0.04
vertigo	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

78Matches

54%Win rate

0.98Avg K/D

84.4ADR

45%Headshot %

Clutches & streaks

40%1v1 clutch win

32%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	12	67%	0.79	13.3
Ancient	12	42%	0.99	15.9
Anubis	12	67%	1.06	18.1
Mirage	11	64%	1.01	16.3
Inferno	4	25%	0.92	13.5
Cache	4	25%	1.08	17.3
Train	3	100%	1.24	19.0
Overpass	1	100%	1.42	17.0

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.

16.5%Headshot accuracy

34.9%Accuracy (enemy spotted)

35.8%Spray accuracy

78.7%Counter-strafing

9.9°Preaim

623msReaction time

28.7%T opening success

35.9%CT opening success

0.68Enemies flashed / flash

0.0%Flash assists

11.12HE damage / grenade

2.80Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.8007 — below the 4 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 28.7439% — below the 40% mark we flag

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.

36% win rate across 14 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	13–6	0.01	35%	7 Aug →
nuke	8–13	-0.04	23%	7 Aug →
inferno	2–13	-0.04	11%	6 Aug →
mirage	10–13	-0.04	12%	6 Aug →
dust2	8–13	-0.06	17%	6 Aug →
mirage	13–8	-0.04	12%	6 Aug →
mirage	9–13	-0.04	19%	5 Aug →
inferno	2–13	-0.09	0%	5 Aug →
dust2	11–13	-0.02	31%	4 Aug →
mirage	13–7	0.06	11%	4 Aug →
mirage	13–7	-0.01	14%	4 Aug →
cache	9–13	-0.02	15%	4 Aug →
dust2	8–13	-0.04	19%	4 Aug →
ancient	13–8	-0.03	18%	3 Aug →
ancient	8–13	-0.07	15%	3 Aug →
dust2	0–13	-0.09	32%	3 Aug →
dust2	13–2	-0.02	9%	3 Aug →
cache	13–3	0.03	9%	3 Aug →
dust2	13–8	-0.02	21%	3 Aug →
cache	13–6	0.02	17%	1 Aug →
inferno	9–13	-0.02	14%	20 Jul →
ancient	13–5	0.00	18%	18 Jul →
cache	0–4	-0.08	0%	18 Jul →
cache	13–10	-0.03	13%	17 Jul →
nuke	13–9	-0.06	15%	17 Jul →
dust2	8–1	0.03	10%	17 Jul →
inferno	13–4	-0.03	15%	17 Jul →
dust2	16–13	-0.02	14%	17 Jul →
office	8–13	-0.04	21%	16 Jul →
dust2	9–13	0.01	13%	15 Jul →
dust2	13–5	-0.05	23%	14 Jul →
cache	13–16	-0.01	13%	14 Jul →
dust2	8–13	-0.07	13%	12 Jul →
mirage	13–7	-0.05	13%	12 Jul →
inferno	11–13	-0.03	31%	12 Jul →
cache	13–3	0.06	16%	12 Jul →
cache	16–13	-0.02	15%	12 Jul →
anubis	10–13	-0.05	14%	12 Jul →
cache	8–13	-0.03	11%	12 Jul →
cache	13–9	0.06	23%	10 Jul →
anubis	13–8	0.03	17%	10 Jul →
office	2–13	-0.05	20%	8 Jul →
anubis	7–13	0.02	11%	8 Jun →
mirage	13–11	0.02	13%	8 Jun →
inferno	13–5	-0.05	8%	8 Jun →
ancient	4–13	-0.10	5%	7 Jun →
cache	13–8	-0.02	22%	6 Jun →
nuke	13–7	0.03	27%	6 Jun →
mirage	11–13	-0.05	13%	6 Jun →
dust2	13–10	-0.02	20%	6 Jun →
mirage	13–7	0.00	24%	6 Jun →
overpass	13–2	0.01	11%	6 Jun →
ancient	15–15	-0.04	14%	29 May →
anubis	5–13	-0.06	23%	29 May →
inferno	13–2	-0.08	11%	23 May →
anubis	13–6	0.03	10%	23 May →
ancient	13–7	0.02	13%	23 May →
cache	4–13	0.00	15%	20 May →
mirage	8–13	-0.00	25%	17 May →
overpass	3–13	0.08	29%	17 May →
cache	8–13	0.06	25%	3 May →
cache	7–13	-0.04	19%	3 May →
inferno	9–13	0.00	13%	21 Apr →
dust2	13–5	0.04	16%	21 Apr →
nuke	11–13	-0.05	22%	21 Apr →
mirage	7–13	-0.06	10%	20 Apr →
mirage	13–11	0.06	15%	16 Apr →
anubis	7–13	-0.06	11%	15 Apr →
ancient	3–13	0.05	29%	15 Apr →
inferno	13–7	0.05	12%	15 Apr →
anubis	13–7	-0.06	18%	14 Apr →
inferno	10–13	-0.02	20%	14 Apr →
mirage	13–10	0.04	16%	14 Apr →
anubis	13–11	-0.03	12%	14 Apr →
anubis	13–10	0.01	23%	14 Apr →
inferno	1–8	-0.02	63%	13 Apr →
mirage	13–4	0.08	18%	13 Apr →
mirage	13–10	-0.01	18%	13 Apr →
anubis	16–13	-0.01	20%	12 Apr →
ancient	13–11	-0.01	23%	12 Apr →
overpass	13–3	0.02	15%	12 Apr →
dust2	8–13	-0.07	20%	12 Apr →
inferno	13–3	0.11	23%	12 Apr →
ancient	10–13	0.06	21%	12 Apr →
anubis	5–13	-0.03	16%	12 Apr →
inferno	11–13	-0.00	17%	12 Apr →
overpass	7–13	-0.06	15%	11 Apr →
inferno	13–16	-0.10	19%	11 Apr →
anubis	13–10	0.03	22%	11 Apr →
mirage	13–9	0.07	25%	9 Apr →
ancient	13–4	0.03	16%	9 Apr →
dust2	10–13	-0.03	21%	8 Apr →
mirage	9–13	-0.00	29%	8 Apr →
dust2	16–14	-0.07	8%	6 Apr →
dust2	2–13	-0.05	9%	5 Apr →
nuke	5–13	-0.08	18%	5 Apr →
mirage	11–13	-0.04	13%	5 Apr →
ancient	13–3	0.04	18%	5 Apr →
anubis	11–13	-0.08	15%	2 Apr →
vertigo	13–6	-0.06	23%	2 Apr →