GoatLasse — CS2 Stats

SE76561199103174170[U:1:1142908442]Steam profile ↗✓ No bans

1,293Tracked matches28%Win rate2021Tracked since

2,699Hours in CS19Hrs last 2 wks

CSDB Rating3.7 Learning

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim53

Positioning41

Utility45

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLWWLLWLLLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim5.3

Aggression4.0

Utility4.5

Positioning4.1

Opening Duels0.1

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 79% playstyle similarity

Most alike: opening-fight frequency, 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. 602ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.3

Positioning4.1

Utility4.5

Mechanics3.8

Opening Duels0.8

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-0.04−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time596ms−92ms

first ⅓ avg 688ms → last ⅓ avg 596ms

Headshot accuracy14.5%+0.2%

first ⅓ avg 14.3% → last ⅓ avg 14.5%

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

0.10Best rating — dust2 13–10

13–1Biggest win — cache

4Longest win streak

11–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 60% over 5dust2Weakest map · 30% over 23

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	24	9–15	38%	-0.04
dust2	D	23	7–16	30%	-0.03
inferno	C	17	6–11	35%	-0.03
cache	B	16	8–8	50%	-0.04
nuke	C	8	3–5	38%	-0.04
anubis	A	5	3–2	60%	-0.01
vertigo	—	3	1–2	33%	-0.06
ancient	—	3	2–1	67%	0.03
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,024Lifetime kills

0.88K/D

2,364Matches

41.1%Match win rate

40.4%Headshot %

5.2%Shot accuracy

4,383MVPs

925Hours (in match)

1,220Bombs planted

360Bombs defused

Most-used weapons

AK-4710,017

M4A4 / M4A1-S7,959

AWP6,636

P2000 / USP-S2,698

Glock-182,043

Galil AR1,875

Desert Eagle1,703

FAMAS1,019

MP9308

XM1014218

Lifetime map wins

4,761dust2

4,468inferno

923vertigo

711nuke

171train

32cbble

20lake

14office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

13Matches

46%Win rate

0.90Avg K/D

—ADR

40%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	4	50%	0.63	10.3
Inferno	4	50%	0.66	8.5
Mirage	3	67%	1.89	16.0
Vertigo	2	0%	0.46	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.

14.2%Headshot accuracy

31.8%Accuracy (enemy spotted)

37.0%Spray accuracy

67.3%Counter-strafing

8.8°Preaim

602msReaction time

24.3%T opening success

36.5%CT opening success

0.69Enemies flashed / flash

4.6%Flash assists

3.92HE damage / grenade

4.04Flashes / 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 14.2195% — below the 15% 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 24.331% — 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.

30% win rate across 23 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
inferno	11–13	-0.10	6%	28 Aug →
cache	13–1	-0.00	33%	28 Aug →
mirage	13–11	-0.06	12%	28 Aug →
dust2	8–13	-0.03	17%	28 Aug →
dust2	5–8	-0.00	12%	26 Aug →
mirage	13–9	-0.05	21%	23 Aug →
dust2	14–16	-0.03	10%	23 Aug →
vertigo	10–13	-0.07	17%	22 Aug →
nuke	4–13	-0.03	18%	22 Aug →
nuke	9–13	-0.07	10%	22 Aug →
anubis	13–8	0.04	16%	22 Aug →
dust2	10–13	0.05	19%	22 Aug →
mirage	11–13	0.01	14%	22 Aug →
mirage	2–13	-0.09	17%	22 Aug →
mirage	12–16	-0.05	9%	21 Aug →
dust2	9–13	-0.05	21%	21 Aug →
inferno	6–9	-0.03	6%	21 Aug →
inferno	9–6	-0.03	20%	21 Aug →
ancient	13–8	0.08	16%	20 Aug →
dust2	9–13	-0.04	24%	20 Aug →
mirage	6–13	-0.02	17%	20 Aug →
mirage	5–13	-0.03	20%	19 Aug →
cache	11–13	-0.06	9%	19 Aug →
dust2	12–12	-0.00	16%	19 Aug →
inferno	10–13	-0.10	8%	8 Aug →
mirage	14–16	-0.02	11%	8 Aug →
cache	13–11	-0.05	9%	8 Aug →
vertigo	16–19	-0.10	17%	8 Aug →
anubis	8–13	-0.04	13%	8 Aug →
cache	13–10	-0.06	5%	7 Aug →
inferno	13–11	-0.05	14%	7 Aug →
mirage	11–13	-0.05	12%	7 Aug →
dust2	11–13	-0.09	12%	7 Aug →
inferno	2–13	-0.04	11%	7 Aug →
mirage	10–13	0.02	20%	6 Aug →
anubis	13–4	0.02	11%	6 Aug →
cache	11–13	-0.04	21%	6 Aug →
mirage	11–13	-0.02	16%	6 Aug →
dust2	13–3	-0.03	9%	6 Aug →
dust2	9–13	-0.10	11%	5 Aug →
inferno	4–13	-0.08	18%	4 Aug →
nuke	13–8	-0.01	3%	4 Aug →
anubis	6–13	-0.05	18%	4 Aug →
mirage	13–10	-0.08	9%	4 Aug →
dust2	13–10	-0.04	10%	4 Aug →
cache	13–6	-0.08	3%	2 Aug →
mirage	13–11	-0.04	21%	2 Aug →
cache	8–13	-0.01	12%	31 Jul →
inferno	13–5	0.04	7%	31 Jul →
dust2	7–13	-0.06	6%	31 Jul →
dust2	4–13	-0.09	21%	30 Jul →
cache	6–13	-0.05	15%	29 Jul →
dust2	8–0	0.01	27%	29 Jul →
mirage	12–12	-0.04	12%	29 Jul →
nuke	13–5	-0.01	9%	29 Jul →
anubis	13–11	-0.00	20%	28 Jul →
ancient	5–13	-0.00	13%	28 Jul →
mirage	13–3	0.08	19%	28 Jul →
cache	6–13	-0.05	17%	28 Jul →
dust2	12–12	-0.02	20%	28 Jul →
inferno	13–7	-0.00	12%	28 Jul →
cache	8–13	0.02	17%	27 Jul →
inferno	12–12	-0.05	11%	27 Jul →
dust2	13–11	-0.04	11%	27 Jul →
inferno	7–9	0.00	19%	27 Jul →
inferno	9–7	0.05	8%	27 Jul →
inferno	5–13	-0.02	25%	14 Jul →
mirage	1–13	-0.07	31%	14 Jul →
nuke	4–13	-0.03	17%	14 Jul →
mirage	6–13	-0.08	23%	14 Jul →
mirage	13–11	-0.09	18%	14 Jul →
inferno	6–13	-0.06	13%	13 Jul →
inferno	13–4	0.00	12%	9 Jul →
mirage	13–8	-0.06	6%	9 Jul →
inferno	2–13	-0.06	7%	6 Jul →
nuke	7–13	-0.05	6%	14 Jun →
vertigo	13–11	-0.01	18%	14 Jun →
mirage	6–13	-0.06	8%	13 Jun →
nuke	13–5	-0.00	18%	13 Jun →
dust2	16–14	-0.07	21%	13 Jun →
mirage	13–11	0.01	25%	12 Jun →
dust2	7–13	-0.03	13%	12 Jun →
cache	13–4	-0.01	12%	12 Jun →
dust2	7–13	-0.04	15%	11 Jun →
cache	11–13	-0.08	5%	10 Jun →
dust2	7–13	-0.06	10%	10 Jun →
dust2	13–3	-0.09	7%	30 May →
mirage	13–8	-0.06	14%	30 May →
dust2	13–10	0.10	17%	30 May →
nuke	5–13	-0.11	7%	30 May →
inferno	5–13	-0.01	13%	30 May →
overpass	5–13	0.01	19%	29 May →
cache	13–9	-0.05	12%	29 May →
cache	12–12	-0.04	24%	24 May →
mirage	8–13	-0.01	15%	24 May →
cache	13–6	-0.00	15%	24 May →
dust2	4–13	-0.03	9%	24 May →
mirage	6–13	-0.00	15%	15 May →
cache	13–8	-0.02	11%	15 May →
ancient	13–8	-0.00	16%	15 May →