Goose Gimlet — CS2 Stats

76561198310769108[U:1:350503380]Steam profile ↗

1,652Tracked matches45%Win rate2024Tracked since

CSDB Rating3.6 Learning

Ladder ranks via Leetify

Performance scores

Aim45

Positioning46

Utility16

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWLWWWWLLT

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

Player DNA

Aim4.5

Aggression6.1

Utility1.6

Positioning4.6

Opening Duels1.3

Clutch4.0

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 Twistzz 74% 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

Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.5

Positioning4.6

Utility1.6

Mechanics4.3

Opening Duels1.3

Win Impact3.3

Composite 3.6/10 (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-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time577ms−69ms

first ⅓ avg 646ms → last ⅓ avg 577ms

Headshot accuracy9.0%−0.2%

first ⅓ avg 9.2% → last ⅓ avg 9.0%

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

0.16Best rating — fachwerk 13–4

13–1Biggest win — vertigo

4Longest win streak

7–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

anubisBest map · 80% over 10nukeWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	15	6–9	40%	-0.01
inferno	D	13	4–9	31%	0.01
dust2	B	12	6–6	50%	-0.01
nuke	D	12	3–9	25%	-0.03
office	B	10	5–5	50%	0.02
anubis	S	10	8–2	80%	0.04
mirage	D	9	3–6	33%	-0.04
train	—	4	2–2	50%	-0.02
overpass	—	4	1–3	25%	-0.01
ancient	—	3	1–2	33%	-0.04
vertigo	—	3	2–1	67%	0.08
fachwerk	—	2	1–1	50%	0.08
boulder	—	1	1–0	100%	0.05
shelter	—	1	1–0	100%	0.01
italy	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches

29%Win rate

0.70Avg K/D

66.8ADR

31%Headshot %

Clutches & streaks

40%1v1 clutch win

27%1v2 clutch win

1Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	4	25%	0.89	13.5
Dust2	3	67%	0.79	14.3
Nuke	2	50%	0.48	8.5
Cache	2	0%	0.48	6.5
Anubis	1	0%	0.71	12.0
Ancient	1	0%	0.54	7.0
Mirage	1	0%	0.71	10.0

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.

9.1%Headshot accuracy

32.3%Accuracy (enemy spotted)

32.5%Spray accuracy

69.3%Counter-strafing

9.3°Preaim

581msReaction time

39.2%T opening success

31.6%CT opening success

0.45Enemies flashed / flash

4.5%Flash assists

0.50HE damage / grenade

3.84Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.0605% — below the 15% 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 0.4519 — 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 39.1521% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	-0.03	11%	28 Aug →
dust2	13–3	0.03	9%	27 Aug →
nuke	3–13	0.00	0%	26 Aug →
cache	13–11	-0.04	11%	26 Aug →
office	13–7	0.01	12%	25 Aug →
dust2	13–5	0.05	11%	25 Aug →
dust2	13–8	0.02	11%	25 Aug →
inferno	7–9	0.10	16%	25 Aug →
inferno	6–9	0.02	4%	25 Aug →
cache	12–12	-0.00	7%	24 Aug →
train	3–13	-0.03	6%	24 Aug →
office	13–9	0.06	6%	24 Aug →
office	11–13	0.03	10%	24 Aug →
train	13–5	-0.02	7%	24 Aug →
anubis	5–6	0.07	10%	24 Aug →
train	8–13	-0.00	7%	24 Aug →
anubis	13–2	0.13	4%	23 Aug →
office	6–13	-0.02	6%	23 Aug →
office	6–13	0.13	5%	23 Aug →
nuke	7–13	-0.11	13%	22 Aug →
mirage	2–13	-0.04	5%	22 Aug →
nuke	13–6	0.04	15%	22 Aug →
anubis	7–13	-0.03	13%	22 Aug →
office	13–7	-0.00	14%	21 Aug →
dust2	7–13	-0.10	5%	21 Aug →
cache	13–9	0.00	24%	21 Aug →
nuke	8–13	-0.04	6%	21 Aug →
dust2	3–13	-0.08	3%	21 Aug →
inferno	6–13	-0.04	7%	16 Aug →
dust2	13–11	-0.04	4%	16 Aug →
mirage	5–13	-0.05	13%	16 Aug →
cache	4–13	-0.03	10%	12 Aug →
dust2	3–13	-0.01	10%	12 Aug →
mirage	13–10	0.02	11%	12 Aug →
mirage	4–13	-0.08	10%	12 Aug →
mirage	11–13	-0.03	6%	12 Aug →
inferno	6–9	0.02	0%	10 Aug →
nuke	10–13	-0.02	6%	10 Aug →
office	12–12	-0.03	2%	10 Aug →
inferno	2–13	-0.02	13%	25 Jul →
cache	11–13	0.08	17%	25 Jul →
mirage	13–5	-0.01	19%	25 Jul →
nuke	5–13	-0.05	13%	25 Jul →
anubis	9–13	-0.02	11%	25 Jul →
inferno	13–6	0.06	4%	20 Jul →
nuke	13–10	0.03	5%	20 Jul →
cache	8–13	0.00	5%	17 Jul →
train	13–6	-0.01	11%	17 Jul →
ancient	8–13	-0.03	10%	17 Jul →
mirage	13–10	-0.01	15%	17 Jul →
nuke	7–13	-0.10	12%	16 Jul →
anubis	13–4	-0.02	6%	16 Jul →
boulder	13–6	0.05	4%	13 Jul →
fachwerk	13–4	0.16	9%	13 Jul →
shelter	13–6	0.01	7%	12 Jul →
fachwerk	8–13	-0.01	7%	12 Jul →
office	13–11	0.03	7%	9 Jul →
office	10–13	-0.00	6%	9 Jul →
overpass	1–13	-0.04	12%	6 Jul →
nuke	9–13	-0.08	17%	6 Jul →
nuke	8–13	0.04	2%	17 Jun →
dust2	13–11	0.06	11%	13 Jun →
dust2	13–10	-0.01	7%	5 Jun →
anubis	13–4	0.04	12%	2 Jun →
inferno	8–13	-0.02	6%	1 Jun →
overpass	13–6	0.11	9%	1 Jun →
office	13–3	0.02	6%	1 Jun →
vertigo	11–13	-0.01	22%	1 Jun →
italy	8–13	0.00	14%	1 Jun →
vertigo	13–1	0.14	15%	1 Jun →
anubis	13–6	0.03	6%	31 May →
cache	13–8	-0.01	14%	31 May →
anubis	13–8	0.12	5%	31 May →
dust2	5–13	0.01	24%	31 May →
vertigo	13–3	0.11	17%	30 May →
dust2	8–13	-0.05	3%	30 May →
anubis	16–12	-0.02	6%	27 May →
inferno	13–2	0.09	8%	27 May →
anubis	13–8	0.06	15%	27 May →
inferno	8–13	-0.03	2%	27 May →
overpass	7–13	-0.06	9%	27 May →
cache	13–10	-0.03	17%	26 May →
cache	9–13	-0.08	0%	23 May →
inferno	6–9	-0.01	10%	23 May →
nuke	4–9	-0.01	9%	23 May →
inferno	6–13	-0.03	0%	23 May →
mirage	8–13	-0.11	4%	17 May →
ancient	15–15	-0.06	9%	17 May →
mirage	6–13	-0.07	12%	17 May →
overpass	11–13	-0.04	2%	17 May →
ancient	13–3	-0.03	9%	17 May →
inferno	13–9	-0.04	4%	17 May →
nuke	13–6	-0.02	17%	16 May →
inferno	13–6	-0.04	3%	16 May →
cache	11–13	-0.02	8%	16 May →
cache	6–13	-0.02	7%	11 May →
cache	3–7	0.03	17%	11 May →
cache	12–12	0.04	3%	7 May →
cache	13–11	-0.05	6%	6 May →
cache	13–11	-0.03	5%	6 May →