Gótica Sentimental — CS2 Stats

BR76561198061693219[U:1:101427491]Steam profile ↗✓ No bans

110Tracked matches39%Win rate2021Tracked since

709Hours in CS7Hrs last 2 wks

CSDB Rating2.0 Learning

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim17

Positioning24

Utility43

0–100 skill scores via Leetify.

Recent form

COLD31–60–9Last 10031%Win rateLWLLTTWLLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim1.7

Aggression1.1

Utility4.3

Positioning2.4

Opening Duels0.0

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 NiKo 62% 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. 646ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim1.7

Positioning2.4

Utility4.3

Mechanics1.4

Opening Duels0.0

Win Impact1.4

Composite 2.0/10 (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-0.06+0.02

first ⅓ avg -0.08 → last ⅓ avg -0.06

Reaction time667ms+31ms

first ⅓ avg 636ms → last ⅓ avg 667ms

Headshot accuracy13.8%+3.7%

first ⅓ avg 10.1% → last ⅓ avg 13.8%

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

0.13Best rating — inferno 9–3

13–2Biggest win — dust2

4Longest win streak

6–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 50% over 18nukeWeakest map · 7% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	18	9–9	50%	-0.06
dust2	C	18	7–11	39%	-0.05
mirage	D	16	4–12	25%	-0.05
nuke	D	14	1–13	7%	-0.07
overpass	D	10	2–8	20%	-0.08
anubis	—	4	1–3	25%	-0.06
cache	—	4	2–2	50%	-0.05
vertigo	—	4	1–3	25%	-0.14
ancient	—	3	1–2	33%	-0.05
train	—	2	0–2	0%	-0.01
poseidon	—	1	1–0	100%	0.03
transit	—	1	0–1	0%	0.01
rooftop	—	1	1–0	100%	-0.10
whistle	—	1	0–1	0%	-0.22
basalt	—	1	1–0	100%	-0.07
palais	—	1	0–1	0%	-0.18
edin	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (7% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,139Lifetime kills

0.51K/D

1,062Matches

35.1%Match win rate

31.9%Headshot %

12.5%Shot accuracy · Top 50% of tracked players

1,468MVPs

376Hours (in match)

679Bombs planted

107Bombs defused

Most-used weapons

AWP1,954

M4A4 / M4A1-S1,433

AK-471,147

Desert Eagle672

P2000 / USP-S469

AUG428

MP7338

SG 553320

Glock-18262

Galil AR241

Lifetime map wins

1,956inferno

1,493dust2

613vertigo

575nuke

456train

41cbble

34lake

22bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.8%Headshot accuracy

29.5%Accuracy (enemy spotted)

29.9%Spray accuracy

56.1%Counter-strafing

13.5°Preaim

646msReaction time

22.9%T opening success

16.3%CT opening success

0.38Enemies flashed / flash

3.4%Flash assists

4.39HE damage / grenade

13.14Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.51° — above the 12° mark we flag
Aim Training →
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 12.8348% — 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 0.3778 — below the 0.5 mark we flag
Grenade Lineups →

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.

7% win rate across 14 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
inferno	5–13	-0.12	25%	25 Aug →
mirage	13–9	-0.05	7%	25 Aug →
anubis	11–13	-0.08	7%	23 Aug →
inferno	12–16	-0.09	3%	21 Aug →
anubis	15–15	-0.07	16%	21 Aug →
mirage	15–15	-0.04	21%	16 Aug →
anubis	13–10	-0.01	15%	16 Aug →
nuke	5–13	-0.10	16%	16 Aug →
anubis	5–13	-0.07	8%	27 Jul →
nuke	10–13	-0.03	17%	19 Jul →
cache	9–13	-0.07	12%	18 Jul →
mirage	6–13	-0.10	20%	17 Jul →
inferno	16–13	-0.05	8%	11 Jul →
mirage	9–13	-0.05	9%	11 Jul →
inferno	13–11	-0.05	10%	9 Jul →
dust2	13–6	-0.09	15%	9 Jul →
cache	13–4	-0.01	21%	7 Jul →
inferno	9–1	-0.09	30%	7 Jul →
nuke	6–9	-0.09	14%	7 Jul →
poseidon	9–6	0.03	21%	3 Jul →
vertigo	4–9	-0.20	12%	3 Jul →
dust2	3–13	-0.11	18%	13 Jun →
nuke	3–13	-0.08	5%	25 May →
mirage	13–6	-0.04	4%	24 May →
mirage	9–13	-0.01	8%	24 May →
dust2	7–13	-0.05	8%	23 May →
mirage	7–13	-0.05	14%	23 May →
dust2	13–8	-0.05	21%	22 May →
dust2	4–13	-0.13	8%	11 May →
mirage	13–4	0.00	4%	11 May →
overpass	11–13	-0.06	13%	10 May →
dust2	13–8	-0.00	17%	10 May →
cache	13–7	-0.02	27%	28 Apr →
cache	4–13	-0.08	10%	28 Apr →
dust2	3–13	-0.02	15%	28 Apr →
overpass	10–13	-0.11	0%	28 Apr →
dust2	13–10	-0.05	3%	13 Apr →
overpass	5–13	-0.04	8%	12 Apr →
mirage	0–13	-0.07	25%	31 Mar →
mirage	9–13	-0.06	17%	14 Mar →
dust2	13–8	-0.01	5%	14 Mar →
dust2	7–13	-0.06	14%	11 Feb →
mirage	13–7	-0.07	7%	10 Feb →
nuke	10–13	-0.06	7%	10 Feb →
nuke	13–16	-0.07	4%	3 Feb →
dust2	9–13	-0.08	11%	14 Jan →
nuke	6–13	-0.04	13%	14 Jan →
dust2	8–13	-0.05	8%	27 Dec →
inferno	13–11	-0.06	2%	27 Dec →
dust2	13–16	-0.01	18%	24 Dec →
mirage	6–13	-0.05	28%	24 Dec →
dust2	0–13	-0.09	11%	24 Dec →
inferno	9–6	0.02	14%	24 Dec →
nuke	9–3	-0.09	0%	24 Dec →
train	7–13	-0.03	5%	14 Dec →
mirage	2–13	-0.11	0%	14 Dec →
nuke	10–13	-0.05	7%	2 Dec →
overpass	11–13	-0.06	2%	2 Dec →
dust2	9–13	-0.01	18%	1 Dec →
inferno	2–13	-0.09	25%	1 Dec →
mirage	10–13	-0.05	21%	1 Dec →
dust2	13–6	-0.05	6%	20 Nov →
mirage	4–13	-0.07	9%	19 Nov →
inferno	13–8	0.05	15%	8 Nov →
overpass	2–13	-0.10	13%	30 Oct →
overpass	3–13	-0.02	10%	29 Oct →
dust2	13–2	0.02	10%	29 Oct →
overpass	13–11	-0.04	9%	28 Oct →
inferno	7–13	-0.06	7%	16 Oct →
inferno	13–7	-0.01	8%	9 Oct →
transit	6–9	0.01	13%	2 Oct →
rooftop	9–6	-0.10	4%	2 Oct →
inferno	8–8	-0.17	0%	1 Oct →
nuke	12–12	-0.02	5%	20 Sept →
vertigo	2–9	-0.23	13%	17 Sept →
train	11–13	0.00	5%	10 Sept →
ancient	13–9	-0.02	14%	9 Sept →
ancient	6–13	-0.10	14%	10 Aug →
inferno	8–8	-0.18	0%	28 Jun →
ancient	12–12	-0.04	15%	28 Jun →
mirage	11–13	-0.08	29%	27 Jun →
nuke	12–12	0.00	0%	12 Jun →
inferno	13–7	-0.02	16%	25 May →
vertigo	2–9	-0.15	8%	16 May →
overpass	9–7	-0.07	18%	14 May →
nuke	8–8	-0.06	6%	10 May →
inferno	2–9	-0.23	8%	10 May →
overpass	5–9	-0.21	19%	16 Apr →
inferno	9–3	0.13	10%	9 Apr →
whistle	2–9	-0.22	5%	23 Mar →
inferno	6–9	-0.12	14%	11 Dec →
nuke	2–9	-0.24	0%	11 Dec →
dust2	3–13	-0.11	7%	4 Dec →
vertigo	13–11	0.03	20%	24 Nov →
basalt	6–5	-0.07	15%	22 Nov →
palais	4–9	-0.18	12%	15 Nov →
edin	5–13	-0.03	12%	14 Nov →
inferno	12–12	-0.01	9%	12 Nov →
nuke	5–13	-0.05	3%	7 Nov →
overpass	3–9	-0.10	17%	9 Apr →