raalz — CS2 Stats

PRO9INEDenmarkIGLSettings & gear profile →

76561197996060155[U:1:35794427]

3,330Tracked matches50%Win rate2020Tracked since

CSDB Rating6.8 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim85

Positioning54

Utility78

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWLLWWLLWLW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.5

Aggression5.7

Utility7.8

Positioning5.4

Opening Duels1.4

Clutch4.6

Sharp aimerStrong CT-side openerHigh utility contribution

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 93% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5

Positioning5.4

Utility7.8

Mechanics6.6

Opening Duels2.0

Win Impact5.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time505ms+2ms

first ⅓ avg 504ms → last ⅓ avg 505ms

Headshot accuracy30.1%−1.7%

first ⅓ avg 31.8% → last ⅓ avg 30.1%

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

0.15Best rating — ancient 13–4

13–0Biggest win — nuke

9Longest win streak

5–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 77% over 22infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	22	17–5	77%	0.02
dust2	D	20	6–14	30%	-0.01
nuke	S	20	14–6	70%	0.00
inferno	D	14	4–10	29%	-0.00
anubis	B	11	5–6	45%	-0.01
overpass	B	6	3–3	50%	0.01
cache	—	4	0–4	0%	-0.04
mirage	—	3	2–1	67%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,087Matches

58%Win rate

1.17Avg K/D

80.1ADR

63%Headshot %

Clutches & streaks

43%1v1 clutch win

24%1v2 clutch win

15Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	315	63%	1.35	16.5
Anubis	221	56%	1.15	16.0
Mirage	140	54%	1.09	14.5
Dust2	132	58%	1.20	16.4
Nuke	118	63%	1.30	17.4
Inferno	98	64%	1.27	16.0
Vertigo	60	57%	1.25	14.6
Overpass	40	65%	1.23	15.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$6,931Inventory value48ItemsFull inventory breakdown →

$1,208

$1,200

$964

$574

$557

$458

Skill profile

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

29.3%Headshot accuracy

34.2%Accuracy (enemy spotted)

37.6%Spray accuracy

79.7%Counter-strafing

10.6°Preaim

498msReaction time

25.7%T opening success

45.8%CT opening success

0.69Enemies flashed / flash

10.6%Flash assists

8.50HE damage / grenade

20.14Flashes / 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
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 25.6768% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	0.04	29%	12 Aug →
dust2	2–13	-0.05	43%	9 Aug →
nuke	13–16	-0.05	30%	9 Aug →
nuke	13–10	-0.08	33%	8 Aug →
ancient	13–10	0.05	30%	8 Aug →
mirage	3–13	-0.07	20%	7 Aug →
nuke	6–13	-0.02	21%	7 Aug →
ancient	13–10	-0.00	21%	7 Aug →
ancient	10–13	-0.03	27%	7 Aug →
anubis	13–2	0.09	35%	7 Aug →
nuke	13–8	0.01	25%	7 Aug →
anubis	6–13	-0.06	34%	4 Aug →
cache	4–13	-0.06	23%	4 Aug →
anubis	6–13	-0.06	34%	4 Aug →
cache	4–13	-0.06	23%	4 Aug →
nuke	13–3	-0.03	26%	2 Aug →
mirage	13–3	0.03	38%	2 Aug →
nuke	13–3	-0.03	26%	2 Aug →
mirage	13–3	0.03	38%	2 Aug →
inferno	13–7	0.07	29%	2 Aug →
nuke	13–6	0.06	26%	2 Aug →
nuke	13–6	0.06	26%	2 Aug →
inferno	13–7	0.07	29%	2 Aug →
cache	9–13	-0.01	32%	2 Aug →
dust2	10–13	0.02	37%	2 Aug →
cache	9–13	-0.01	32%	2 Aug →
dust2	10–13	0.02	37%	2 Aug →
ancient	13–16	-0.01	28%	25 Jun →
dust2	13–10	-0.03	24%	25 Jun →
nuke	7–13	0.01	21%	25 Jun →
ancient	16–14	-0.03	34%	24 Jun →
nuke	13–10	-0.05	44%	24 Jun →
ancient	6–13	-0.01	37%	23 Jun →
dust2	10–13	-0.07	24%	23 Jun →
nuke	13–11	-0.03	21%	23 Jun →
dust2	4–13	-0.02	29%	14 May →
anubis	8–13	-0.01	38%	8 May →
dust2	14–16	0.00	27%	8 May →
inferno	16–13	0.05	23%	8 May →
dust2	4–13	-0.02	35%	30 Apr →
ancient	13–5	0.01	29%	30 Apr →
inferno	11–13	0.01	36%	30 Apr →
inferno	5–13	-0.02	33%	26 Apr →
ancient	6–13	0.01	36%	26 Apr →
nuke	13–0	0.01	30%	25 Apr →
dust2	13–8	0.00	48%	25 Apr →
ancient	13–6	0.02	24%	24 Apr →
inferno	7–13	-0.09	29%	24 Apr →
dust2	11–13	0.03	38%	24 Apr →
inferno	11–13	-0.04	27%	23 Apr →
dust2	13–9	0.03	31%	23 Apr →
overpass	17–19	0.01	33%	23 Apr →
dust2	4–13	-0.09	64%	3 Apr →
overpass	9–13	0.06	22%	3 Apr →
overpass	13–9	-0.01	22%	2 Apr →
nuke	13–4	0.10	28%	2 Apr →
anubis	9–13	-0.03	32%	2 Apr →
inferno	7–13	-0.02	18%	1 Apr →
nuke	13–9	0.04	29%	30 Mar →
dust2	8–13	-0.04	26%	25 Mar →
inferno	11–13	-0.00	31%	25 Mar →
overpass	13–3	0.02	44%	25 Mar →
inferno	15–19	-0.02	19%	24 Mar →
nuke	13–11	0.08	34%	24 Mar →
ancient	13–6	0.06	34%	24 Mar →
anubis	13–3	-0.00	37%	24 Mar →
anubis	13–3	-0.00	37%	24 Mar →
nuke	6–13	-0.00	35%	14 Mar →
anubis	19–15	0.02	23%	14 Mar →
dust2	8–13	-0.02	33%	14 Mar →
ancient	16–12	0.08	35%	12 Mar →
ancient	13–7	0.02	29%	12 Mar →
inferno	6–13	0.00	40%	12 Mar →
ancient	13–4	0.15	35%	12 Mar →
overpass	13–7	0.02	33%	8 Mar →
inferno	13–11	-0.03	19%	8 Mar →
ancient	13–6	0.05	26%	7 Mar →
anubis	13–7	-0.00	31%	7 Mar →
dust2	13–5	0.07	34%	6 Mar →
nuke	13–10	0.01	36%	5 Mar →
ancient	13–10	-0.02	21%	5 Mar →
dust2	13–5	0.10	30%	1 Mar →
overpass	7–13	0.00	35%	28 Feb →
nuke	10–13	-0.07	36%	28 Feb →
nuke	8–13	-0.02	41%	27 Feb →
ancient	9–13	0.09	53%	27 Feb →
dust2	13–9	-0.03	38%	27 Feb →
ancient	13–11	-0.01	21%	26 Feb →
nuke	13–8	0.03	22%	26 Feb →
inferno	7–13	-0.01	30%	22 Feb →
inferno	7–13	-0.01	30%	22 Feb →
ancient	13–8	-0.03	40%	22 Feb →
ancient	13–8	-0.03	40%	22 Feb →
dust2	6–13	-0.03	26%	22 Feb →
dust2	6–13	-0.03	26%	22 Feb →
anubis	4–13	-0.04	24%	22 Feb →
anubis	4–13	-0.04	24%	22 Feb →
ancient	13–2	0.02	32%	22 Feb →
ancient	13–2	0.02	32%	22 Feb →
dust2	9–13	-0.02	38%	14 Feb →