Gouldy Pops — CS2 Stats

GB76561198129990275[U:1:169724547]Steam profile ↗✓ No bans

555Tracked matches46%Win rate2023Tracked since

CSDB Rating3.8 Learning

Premier CS Rating18,316Purple band · top ~15.2% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning35

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateTLWLWWLWLW

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

Player DNA

Aim4.5

Aggression1.8

Utility3.7

Positioning3.5

Opening Duels0.2

Clutch0.8

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 70% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 710ms 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

Aim4.5

Positioning3.5

Utility3.7

Mechanics4.8

Opening Duels1.3

Win Impact3.8

Composite 3.8/10 (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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time706ms+28ms

first ⅓ avg 678ms → last ⅓ avg 706ms

Headshot accuracy15.7%+4.3%

first ⅓ avg 11.4% → last ⅓ avg 15.7%

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 — vertigo 8–0

13–1Biggest win — inferno

5Longest win streak

9–4In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 60% over 10anubisWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	-0.03
ancient	B	18	9–9	50%	-0.05
nuke	B	14	7–7	50%	-0.03
anubis	D	12	4–8	33%	-0.03
dust2	A	10	6–4	60%	-0.02
cache	C	9	4–5	44%	-0.03
inferno	C	8	3–5	38%	-0.03
vertigo	—	3	1–2	33%	-0.03
overpass	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

30Matches

40%Win rate

0.86Avg K/D

79.8ADR

36%Headshot %

Clutches & streaks

24%1v1 clutch win

15%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	9	22%	0.65	10.9
Mirage	6	17%	0.74	11.3
Ancient	5	80%	0.94	12.0
Anubis	4	50%	1.12	17.3
Dust2	3	33%	0.80	13.7
Inferno	2	50%	0.56	4.5
Nuke	1	100%	2.91	32.0

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.

15.8%Headshot accuracy

34.2%Accuracy (enemy spotted)

38.8%Spray accuracy

71.4%Counter-strafing

11.1°Preaim

710msReaction time

21.0%T opening success

40.6%CT opening success

0.51Enemies flashed / flash

1.7%Flash assists

4.51HE damage / grenade

4.54Flashes / 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 710.1983ms — above the 700ms mark we flag
Aim Training →
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 20.9803% — 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.

33% win rate across 12 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
cache	15–15	-0.04	12%	28 Aug →
anubis	8–13	-0.06	17%	8 Aug →
cache	13–6	-0.00	18%	8 Aug →
cache	4–13	-0.01	13%	29 Jul →
nuke	13–9	0.02	15%	29 Jul →
mirage	13–8	-0.01	14%	29 Jul →
cache	8–13	-0.03	16%	29 Jul →
anubis	13–3	-0.08	25%	29 Jul →
anubis	2–7	-0.07	19%	25 Jul →
mirage	13–6	-0.03	20%	24 Jul →
cache	8–13	-0.07	18%	24 Jul →
mirage	16–14	-0.02	20%	24 Jul →
mirage	13–4	0.00	18%	24 Jul →
inferno	15–15	-0.05	18%	23 Jul →
ancient	1–13	-0.04	16%	23 Jul →
nuke	3–13	-0.04	14%	11 Jul →
mirage	9–13	-0.04	16%	11 Jul →
cache	13–7	-0.11	7%	11 Jul →
dust2	13–9	0.04	17%	11 Jul →
mirage	3–8	-0.00	6%	11 Jul →
ancient	13–8	-0.06	17%	11 Jul →
ancient	13–9	-0.05	8%	11 Jul →
ancient	13–10	-0.03	16%	10 Jul →
mirage	6–13	-0.08	30%	10 Jul →
anubis	5–13	-0.01	18%	10 Jul →
mirage	16–13	-0.06	11%	10 Jul →
inferno	9–13	-0.02	12%	3 Jul →
ancient	5–13	-0.09	14%	3 Jul →
ancient	11–13	-0.04	14%	27 Jun →
mirage	2–13	-0.04	23%	27 Jun →
ancient	13–11	-0.07	8%	27 Jun →
nuke	16–14	-0.01	11%	27 Jun →
mirage	13–7	0.02	19%	27 Jun →
nuke	13–8	-0.07	15%	26 Jun →
dust2	9–13	-0.03	19%	26 Jun →
mirage	13–6	0.03	22%	26 Jun →
mirage	13–16	-0.03	18%	26 Jun →
ancient	10–13	-0.08	24%	26 Jun →
cache	13–11	-0.00	29%	26 Jun →
dust2	13–11	-0.02	19%	21 Jun →
ancient	13–11	-0.07	11%	21 Jun →
nuke	13–2	0.07	15%	21 Jun →
nuke	0–13	-0.06	21%	21 Jun →
dust2	2–13	-0.07	24%	19 Jun →
overpass	13–6	0.02	24%	17 Jun →
nuke	13–8	-0.06	21%	17 Jun →
mirage	7–13	-0.07	19%	12 Jun →
cache	13–8	-0.03	17%	12 Jun →
dust2	13–6	-0.04	16%	12 Jun →
mirage	7–13	-0.01	16%	24 May →
nuke	6–13	0.01	10%	24 May →
ancient	6–13	-0.01	20%	22 May →
anubis	13–16	-0.01	9%	22 May →
mirage	13–8	-0.02	13%	22 May →
nuke	10–13	-0.04	14%	22 May →
ancient	13–2	-0.02	17%	22 May →
nuke	12–16	-0.01	13%	22 May →
mirage	15–15	-0.06	10%	15 May →
ancient	15–15	-0.04	10%	15 May →
mirage	4–13	-0.08	19%	14 May →
ancient	10–13	-0.04	20%	14 May →
cache	11–13	-0.01	21%	1 May →
mirage	13–11	-0.03	19%	24 Apr →
nuke	13–11	-0.03	14%	24 Apr →
mirage	10–13	-0.06	11%	24 Apr →
vertigo	0–7	-0.12	0%	24 Apr →
inferno	6–13	-0.07	12%	23 Apr →
nuke	6–13	-0.10	3%	17 Apr →
anubis	13–8	-0.00	11%	10 Apr →
inferno	15–15	-0.03	13%	9 Apr →
mirage	10–13	-0.08	3%	4 Apr →
ancient	8–13	-0.06	11%	4 Apr →
inferno	6–13	-0.06	15%	2 Apr →
inferno	16–13	-0.01	16%	5 Mar →
overpass	10–13	0.01	13%	5 Mar →
nuke	13–9	-0.01	18%	5 Mar →
dust2	13–9	-0.04	26%	5 Mar →
ancient	0–13	-0.05	0%	5 Mar →
anubis	2–13	-0.01	9%	1 Mar →
vertigo	5–13	-0.08	10%	1 Mar →
mirage	11–13	-0.07	12%	27 Feb →
dust2	2–13	-0.09	29%	26 Feb →
anubis	13–5	0.02	11%	26 Feb →
anubis	8–13	-0.05	8%	21 Feb →
dust2	8–13	-0.04	12%	21 Feb →
ancient	13–9	-0.02	13%	21 Feb →
inferno	13–5	-0.01	7%	20 Feb →
nuke	11–13	-0.02	19%	20 Feb →
anubis	10–13	-0.03	9%	17 Feb →
mirage	13–5	-0.01	9%	15 Feb →
dust2	13–2	0.04	12%	30 Jan →
ancient	13–6	-0.03	8%	30 Jan →
dust2	13–6	0.07	11%	25 Jan →
ancient	13–4	-0.03	9%	25 Jan →
mirage	4–13	-0.04	9%	25 Jan →
inferno	13–1	-0.02	14%	24 Jan →
mirage	16–14	-0.03	9%	24 Jan →
anubis	6–13	-0.07	3%	23 Jan →
anubis	16–12	-0.03	18%	23 Jan →
vertigo	8–0	0.11	7%	1 Jan →