Verhazed — CS2 Stats

76561198406974030[U:1:446708302]Steam profile ↗✓ No bans

2,533Tracked matches47%Win rate2020Tracked since

CSDB Rating5.8 SolidAggressive Rifler

FaceitLevel 10 · 2,373 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning61

Utility30

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWLLWWLLLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.8

Aggression8.0

Utility3.0

Positioning6.1

Opening Duels3.7

Clutch3.0

Limited utility dependence

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 88% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.8

Positioning6.1

Utility3.0

Mechanics6.8

Opening Duels3.7

Win Impact3.9

Composite 5.8/10 (Solid), 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-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time508ms−51ms

first ⅓ avg 559ms → last ⅓ avg 508ms

Headshot accuracy24.1%+5.6%

first ⅓ avg 18.6% → last ⅓ avg 24.1%

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

0.12Best rating — dust2 9–13

13–1Biggest win — inferno

4Longest win streak

7–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 75% over 8nukeWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	24	16–8	67%	0.02
inferno	C	23	10–13	43%	0.00
ancient	B	20	9–11	45%	0.01
nuke	D	9	2–7	22%	-0.01
anubis	S	8	6–2	75%	-0.00
cache	B	6	3–3	50%	-0.03
mirage	—	4	2–2	50%	-0.04
overpass	—	4	1–3	25%	0.00
office	—	1	0–1	0%	0.01
shelter	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,161Matches

52%Win rate

1.20Avg K/D

81.8ADR

40%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	153	58%	1.11	17.2
Ancient	134	55%	1.06	16.7
Mirage	110	40%	0.93	13.7
Inferno	86	53%	1.06	16.7
Vertigo	79	57%	1.15	16.9
Dust2	79	51%	1.03	16.9
Nuke	44	50%	1.03	16.6
Overpass	33	64%	1.21	15.8

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.

22.9%Headshot accuracy

30.2%Accuracy (enemy spotted)

34.4%Spray accuracy

80.8%Counter-strafing

8.8°Preaim

506msReaction time

39.6%T opening success

50.3%CT opening success

0.34Enemies flashed / flash

10.3%Flash assists

5.98HE damage / grenade

2.66Flashes / 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.

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 0.3353 — below the 0.5 mark we flag
Grenade Lineups →
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 39.5824% — below the 40% mark we flag

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.

22% win rate across 9 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
ancient	1–8	-0.06	43%	21 Aug →
anubis	13–8	0.00	20%	16 Aug →
ancient	13–16	-0.01	24%	16 Aug →
inferno	9–13	0.02	13%	14 Aug →
dust2	13–6	0.02	27%	7 Aug →
ancient	13–9	0.04	20%	5 Aug →
dust2	9–13	0.00	22%	3 Aug →
inferno	10–13	0.04	25%	27 Jul →
mirage	8–13	-0.04	35%	26 Jul →
anubis	16–13	0.04	12%	26 Jul →
inferno	11–13	-0.05	22%	25 Jul →
nuke	16–12	0.02	15%	25 Jul →
dust2	13–16	0.00	21%	25 Jul →
cache	16–13	0.02	30%	24 Jul →
mirage	13–11	-0.04	32%	24 Jul →
cache	13–3	-0.01	36%	24 Jul →
dust2	13–11	0.06	22%	24 Jul →
inferno	6–13	0.02	18%	24 Jul →
dust2	8–11	-0.06	11%	23 Jul →
inferno	13–7	0.02	18%	23 Jul →
anubis	8–13	-0.03	9%	23 Jul →
anubis	3–13	-0.09	29%	19 Jul →
dust2	13–7	0.01	22%	19 Jul →
nuke	4–13	-0.09	29%	19 Jul →
dust2	13–11	-0.05	31%	19 Jul →
cache	7–13	-0.07	23%	18 Jul →
nuke	9–13	0.03	22%	18 Jul →
inferno	13–11	-0.10	15%	18 Jul →
ancient	13–8	-0.01	26%	18 Jul →
nuke	1–13	-0.04	50%	16 Jul →
cache	11–13	-0.03	21%	16 Jul →
ancient	13–11	-0.05	35%	14 Jul →
ancient	4–13	-0.08	22%	13 Jul →
dust2	3–13	0.05	18%	13 Jul →
ancient	11–13	-0.07	16%	12 Jul →
anubis	13–6	0.01	13%	12 Jul →
ancient	4–13	-0.01	28%	12 Jul →
cache	13–6	-0.00	24%	12 Jul →
anubis	13–10	-0.00	17%	12 Jul →
dust2	9–13	0.12	19%	12 Jul →
cache	5–13	-0.07	19%	11 Jul →
ancient	13–9	-0.01	23%	11 Jul →
dust2	13–7	-0.03	14%	11 Jul →
ancient	4–13	0.03	29%	11 Jul →
inferno	10–13	0.03	29%	11 Jul →
nuke	0–13	-0.06	0%	11 Jul →
dust2	13–5	0.11	20%	11 Jul →
office	7–13	0.01	18%	11 Jul →
shelter	2–1	0.07	67%	10 Jul →
dust2	13–11	0.07	20%	10 Jul →
dust2	13–10	0.05	30%	10 Jul →
dust2	13–8	0.00	39%	10 Jul →
nuke	6–13	0.00	23%	10 Jul →
ancient	13–9	0.02	19%	10 Jul →
inferno	13–8	0.02	18%	10 Jul →
ancient	13–2	0.08	21%	10 Jul →
dust2	11–13	-0.02	23%	5 Jul →
inferno	13–11	0.03	27%	5 Jul →
dust2	3–13	-0.08	13%	5 Jul →
inferno	13–5	0.00	26%	5 Jul →
ancient	15–15	-0.00	18%	4 Jul →
dust2	13–9	-0.00	18%	4 Jul →
inferno	13–9	-0.02	16%	3 Jul →
nuke	10–13	-0.01	16%	3 Jul →
mirage	6–13	-0.03	16%	1 Jul →
anubis	13–7	0.01	15%	1 Jul →
ancient	14–16	0.04	16%	1 Jul →
dust2	8–13	0.00	24%	28 Jun →
ancient	13–7	0.01	16%	27 Jun →
inferno	13–7	0.06	14%	27 Jun →
overpass	9–13	0.04	14%	27 Jun →
inferno	11–13	-0.00	17%	27 Jun →
ancient	15–15	0.02	20%	26 Jun →
mirage	13–9	-0.04	14%	26 Jun →
overpass	3–13	0.04	18%	23 Jun →
dust2	13–8	0.07	20%	21 Jun →
dust2	13–4	0.03	31%	21 Jun →
dust2	13–4	0.03	11%	19 Jun →
inferno	8–13	-0.06	21%	19 Jun →
dust2	13–8	0.01	24%	18 Jun →
inferno	5–8	-0.01	11%	18 Jun →
ancient	13–7	0.11	35%	10 Jun →
inferno	8–13	0.07	26%	10 Jun →
ancient	13–16	0.08	18%	9 Jun →
ancient	16–13	0.03	19%	8 Jun →
inferno	13–9	0.04	17%	6 Jun →
inferno	14–16	0.06	17%	6 Jun →
dust2	13–8	-0.04	13%	6 Jun →
nuke	13–7	0.05	23%	6 Jun →
overpass	13–10	-0.02	21%	6 Jun →
ancient	14–16	-0.01	8%	5 Jun →
inferno	13–9	-0.00	13%	5 Jun →
nuke	10–13	-0.01	21%	5 Jun →
inferno	10–13	0.02	11%	1 Jun →
anubis	13–5	0.04	13%	1 Jun →
inferno	13–1	0.05	16%	31 May →
dust2	16–13	0.03	19%	31 May →
inferno	2–13	-0.09	37%	31 May →
inferno	3–13	-0.09	22%	30 May →
overpass	4–13	-0.04	10%	30 May →