Raasted — CS2 Stats

DK76561197965831513[U:1:5565785]Steam profile ↗✓ No bans

1,074Tracked matches53%Win rate2021Tracked since

1,594Hours in CS3Hrs last 2 wks

CSDB Rating3.4 Learning

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim19

Positioning46

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateLWLWLLWLLW

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

Player DNA

Aim1.9

Aggression3.7

Utility6.6

Positioning4.6

Opening Duels0.7

Clutch2.4

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 46% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 639ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim1.9

Positioning4.6

Utility6.6

Mechanics3.6

Opening Duels2.0

Win Impact6.1

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time643ms−28ms

first ⅓ avg 671ms → last ⅓ avg 643ms

Headshot accuracy8.6%−1.2%

first ⅓ avg 9.8% → last ⅓ avg 8.6%

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

0.05Best rating — overpass 13–6

13–1Biggest win — ancient

5Longest win streak

12–15In matches decided by ≤2 rounds

17Overtime games

Map breakdown

mirageBest map · 75% over 12anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	22	14–8	64%	-0.03
nuke	S	20	13–7	65%	-0.02
ancient	C	16	7–9	44%	-0.02
overpass	S	15	10–5	67%	-0.02
mirage	S	12	9–3	75%	-0.03
anubis	D	10	2–8	20%	-0.04
cache	—	3	2–1	67%	0.01
dust2	—	2	0–2	0%	-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,422Lifetime kills

1.08K/D · Top 50% of tracked players

2,731Matches

46.1%Match win rate · Top 50% of tracked players

28.9%Headshot %

13.6%Shot accuracy · Top 50% of tracked players

6,986MVPs

891Hours (in match)

3,084Bombs planted

727Bombs defused

Most-used weapons

AK-4710,366

M4A4 / M4A1-S9,908

AWP4,279

P2000 / USP-S3,435

AUG2,612

SG 5532,340

Glock-182,312

MAC-101,542

MP91,512

FAMAS1,091

Lifetime map wins

3,608inferno

2,407nuke

1,669lake

1,491vertigo

1,139dust2

744stmarc

526train

237office

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

Faceit stats

Combat

557Matches

50%Win rate

0.74Avg K/D

63.6ADR

30%Headshot %

Clutches & streaks

32%1v1 clutch win

12%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	74	59%	0.83	12.2
Nuke	58	64%	0.78	12.0
Mirage	54	48%	0.74	11.3
Ancient	52	44%	0.76	11.9
Anubis	49	31%	0.71	11.4
Vertigo	38	61%	0.67	11.0
Overpass	29	62%	0.80	11.9
Train	10	80%	1.09	15.6

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.

8.7%Headshot accuracy

29.5%Accuracy (enemy spotted)

35.0%Spray accuracy

66.3%Counter-strafing

14.7°Preaim

639msReaction time

19.9%T opening success

45.6%CT opening success

0.72Enemies flashed / flash

10.3%Flash assists

7.58HE damage / grenade

10.59Flashes / 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 14.6713° — 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 8.7014% — below the 15% mark we flag
Aim Training →

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.

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