arazez — CS2 Stats

76561198033745228[U:1:73479500]

2,992Tracked matches45%Win rate2020Tracked since

CSDB Rating6.0 SolidAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim77

Positioning59

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLWLWWLWLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.7

Aggression7.1

Utility5.1

Positioning5.9

Opening Duels2.9

Clutch4.8

Strong CT-side opener

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 ropz 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim7.7

Positioning5.9

Utility5.1

Mechanics6.6

Opening Duels2.9

Win Impact3.3

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.04

first ⅓ avg 0.05 → last ⅓ avg 0.01

Reaction time581ms−50ms

first ⅓ avg 631ms → last ⅓ avg 581ms

Headshot accuracy23.8%−2.2%

first ⅓ avg 26.0% → last ⅓ avg 23.8%

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

0.18Best rating — mirage 13–6

13–0Biggest win — nuke

8Longest win streak

L2Current streak

5–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 63% over 8infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	29	12–17	41%	0.03
mirage	A	18	10–8	56%	0.03
dust2	B	11	5–6	45%	0.02
nuke	A	8	5–3	63%	0.03
ancient	B	8	4–4	50%	0.03
inferno	D	7	2–5	29%	0.01
anubis	—	4	1–3	25%	0.04
vertigo	—	3	1–2	33%	-0.02
overpass	—	3	2–1	67%	0.07
train	—	3	2–1	67%	0.08
office	—	2	2–0	100%	-0.05
italy	—	1	0–1	0%	0.13
alpine	—	1	1–0	100%	0.09
stronghold	—	1	1–0	100%	-0.01
warden	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,102Matches

51%Win rate

1.04Avg K/D

72.2ADR

40%Headshot %

Clutches & streaks

44%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	334	56%	1.00	14.3
Mirage	319	48%	1.01	14.3
Anubis	152	50%	0.97	15.2
Nuke	116	57%	1.00	14.2
Dust2	92	41%	1.00	14.3
Inferno	91	49%	1.08	15.8
Overpass	62	56%	1.01	13.5
Train	53	57%	1.02	14.3

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.

23.8%Headshot accuracy

36.4%Accuracy (enemy spotted)

37.4%Spray accuracy

79.9%Counter-strafing

11.0°Preaim

570msReaction time

29.8%T opening success

53.2%CT opening success

0.53Enemies flashed / flash

7.3%Flash assists

8.58HE damage / grenade

7.99Flashes / 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 29.8215% — 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 7 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
dust2	5–13	-0.02	41%	24 Aug →
vertigo	4–13	-0.09	15%	21 Aug →
inferno	13–3	0.00	10%	20 Aug →
mirage	9–13	-0.04	18%	19 Aug →
dust2	13–5	-0.04	18%	19 Aug →
cache	13–6	-0.02	18%	16 Aug →
mirage	1–13	-0.08	38%	9 Aug →
cache	13–6	0.08	21%	9 Aug →
cache	6–6	-0.01	20%	9 Aug →
mirage	13–10	0.10	21%	6 Aug →
overpass	2–13	0.00	47%	5 Aug →
cache	9–13	0.06	30%	3 Aug →
mirage	13–10	0.07	20%	3 Aug →
inferno	1–13	0.01	26%	31 Jul →
nuke	13–9	0.02	17%	31 Jul →
cache	15–15	-0.01	20%	31 Jul →
vertigo	13–4	0.02	15%	30 Jul →
office	13–7	-0.07	29%	30 Jul →
dust2	7–1	-0.00	17%	23 Jul →
mirage	13–4	0.05	21%	23 Jul →
mirage	9–13	-0.04	24%	13 Jul →
nuke	5–13	0.01	44%	13 Jul →
cache	16–13	0.05	23%	11 Jul →
inferno	10–13	-0.04	18%	8 Jul →
mirage	6–13	0.01	15%	8 Jul →
cache	8–13	0.02	19%	8 Jul →
nuke	4–13	0.05	32%	2 Jul →
dust2	13–11	0.06	40%	2 Jul →
italy	6–13	0.13	17%	2 Jul →
mirage	8–13	0.02	26%	27 Jun →
ancient	13–3	0.02	16%	27 Jun →
ancient	11–13	0.05	25%	24 Jun →
inferno	2–13	0.08	24%	22 Jun →
dust2	9–13	-0.02	19%	21 Jun →
dust2	7–13	0.05	16%	21 Jun →
nuke	13–0	0.11	13%	21 Jun →
overpass	13–11	0.12	24%	20 Jun →
mirage	13–6	0.08	15%	17 Jun →
inferno	4–13	-0.02	16%	17 Jun →
anubis	8–13	0.00	23%	17 Jun →
ancient	6–13	-0.07	28%	17 Jun →
cache	12–12	0.00	23%	14 Jun →
mirage	9–13	0.02	28%	10 Jun →
cache	13–6	0.08	21%	10 Jun →
cache	13–7	0.09	35%	9 Jun →
cache	12–12	0.01	24%	9 Jun →
cache	10–13	-0.00	37%	9 Jun →
cache	13–6	0.08	16%	6 Jun →
cache	9–13	-0.04	16%	6 Jun →
nuke	13–6	-0.03	26%	30 May →
alpine	5–2	0.09	33%	30 May →
office	13–10	-0.02	33%	30 May →
ancient	11–13	-0.06	35%	25 May →
dust2	4–13	0.02	19%	25 May →
stronghold	13–8	-0.01	38%	25 May →
warden	13–3	0.11	53%	25 May →
dust2	1–5	-0.05	50%	23 May →
nuke	13–0	0.00	100%	23 May →
mirage	13–0	0.02	67%	23 May →
cache	13–8	0.10	19%	20 May →
vertigo	10–13	0.01	18%	20 May →
dust2	16–14	0.10	39%	20 May →
ancient	7–13	0.00	24%	20 May →
cache	13–10	0.05	16%	10 May →
cache	3–13	0.03	28%	10 May →
mirage	3–13	-0.02	26%	10 May →
cache	4–13	0.05	21%	10 May →
cache	8–13	0.01	27%	10 May →
cache	10–13	0.03	24%	10 May →
cache	13–10	0.07	32%	10 May →
anubis	11–13	0.06	13%	8 May →
ancient	8–2	0.13	32%	8 May →
overpass	13–1	0.10	35%	8 May →
inferno	13–4	0.06	35%	8 May →
nuke	8–13	0.05	14%	8 May →
mirage	13–9	0.02	22%	8 May →
cache	8–13	-0.02	30%	8 May →
dust2	4–13	0.00	17%	6 May →
mirage	9–13	-0.03	24%	5 May →
cache	10–13	-0.02	37%	3 May →
cache	7–13	0.17	26%	29 Apr →
cache	13–11	0.02	28%	29 Apr →
cache	12–12	0.04	29%	29 Apr →
cache	7–13	0.04	20%	29 Apr →
cache	6–2	-0.06	23%	28 Apr →
cache	13–4	0.06	28%	28 Apr →
anubis	7–13	0.01	37%	25 Apr →
nuke	13–4	0.05	24%	25 Apr →
ancient	13–10	0.02	27%	25 Apr →
train	13–6	0.09	23%	25 Apr →
inferno	3–13	0.01	55%	25 Apr →
train	12–12	0.08	24%	25 Apr →
mirage	13–5	0.09	22%	25 Apr →
train	13–7	0.06	21%	24 Apr →
anubis	13–3	0.08	23%	24 Apr →
mirage	13–8	0.08	17%	24 Apr →
ancient	13–6	0.11	27%	24 Apr →
mirage	16–14	-0.04	25%	22 Apr →
mirage	13–6	0.18	16%	19 Apr →
dust2	13–6	0.13	24%	19 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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