Fazza — CS2 Stats

GB76561197970139670[U:1:9873942]Steam profile ↗✓ No bans

1,368Tracked matches66%Win rate2020Tracked since

4,303Hours in CS30Hrs last 2 wks

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating13,603Blue band · top ~35.8% of ranked players (population est.)

CSDB Leaderboard#37150 of 57699 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,851), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	30.8%	41.8%	42.7%	11.9% short
Shot accuracy	16.4%	11.9%	10.8%	above
Kill/death ratio	1.14	0.97	1.00	above
Match win rate	45.6%	43.5%	44.1%	above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim64

Positioning41

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLTLWWLWWLL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

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

Aim6.4

Aggression5.2

Utility6.0

Positioning4.1

Opening Duels0.7

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 NiKo 84% playstyle similarity

Most alike: opening-fight frequency, 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. 582ms 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

Aim6.4

Positioning4.1

Utility6.0

Mechanics6.7

Opening Duels0.8

Win Impact10.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time578ms−64ms

first ⅓ avg 642ms → last ⅓ avg 578ms

Headshot accuracy11.9%−1.0%

first ⅓ avg 12.9% → last ⅓ avg 11.9%

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

0.21Best rating — mirage 13–10

13–1Biggest win — cache

5Longest win streak

12–10In matches decided by ≤2 rounds

16Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	13–13	50%	0.02
cache	A	19	11–8	58%	0.03
inferno	C	17	7–10	41%	0.02
dust2	B	16	8–8	50%	0.01
ancient	A	11	6–5	55%	0.02
nuke	S	8	6–2	75%	0.01
anubis	—	3	1–2	33%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,555Lifetime kills

1.14K/D · Top 25% of Level 3 players

5,813Matches

45.6%Match win rate · Top 50% of Level 3 players

30.8%Headshot %

16.4%Shot accuracy · Top 25% of Level 3 players

13,749MVPs

2,319Hours (in match)

6,168Bombs planted

1,210Bombs defused

Most-used weapons

AK-4731,435

M4A4 / M4A1-S27,531

P9018,418

P2000 / USP-S6,049

Glock-184,824

Galil AR3,598

MP93,239

MAC-103,127

FAMAS2,770

AWP2,331

Lifetime map wins

18,218dust2

8,313inferno

2,175nuke

1,146vertigo

635train

307office

273aztec

189dust

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.

11.8%Headshot accuracy

34.4%Accuracy (enemy spotted)

36.0%Spray accuracy

80.2%Counter-strafing

8.8°Preaim

582msReaction time

36.7%T opening success

29.3%CT opening success

0.63Enemies flashed / flash

9.0%Flash assists

8.85HE damage / grenade

2.95Flashes / 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.

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 11.7666% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.9472 — below the 4 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 36.6567% — 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.

41% win rate across 17 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
cache	9–13	0.04	10%	30 Aug →
dust2	15–15	-0.02	7%	30 Aug →
ancient	13–16	-0.00	11%	28 Aug →
dust2	13–11	0.00	14%	28 Aug →
dust2	13–3	0.12	22%	28 Aug →
inferno	8–13	-0.01	14%	27 Aug →
cache	16–14	0.06	13%	27 Aug →
dust2	13–6	0.03	10%	27 Aug →
cache	5–13	-0.01	8%	27 Aug →
inferno	7–13	0.01	12%	26 Aug →
nuke	13–8	0.10	15%	26 Aug →
inferno	16–13	0.04	14%	26 Aug →
mirage	13–6	-0.06	12%	26 Aug →
nuke	13–9	-0.05	13%	25 Aug →
mirage	13–8	0.03	9%	25 Aug →
mirage	14–16	-0.05	8%	23 Aug →
dust2	10–13	-0.07	6%	22 Aug →
ancient	13–11	0.05	6%	22 Aug →
mirage	7–13	0.00	11%	22 Aug →
inferno	13–6	0.03	9%	22 Aug →
inferno	13–11	0.08	10%	22 Aug →
mirage	12–16	-0.02	16%	21 Aug →
cache	13–4	0.01	5%	21 Aug →
mirage	13–7	0.03	11%	21 Aug →
dust2	4–13	0.01	20%	20 Aug →
inferno	13–9	0.01	12%	19 Aug →
dust2	13–5	0.01	20%	19 Aug →
dust2	13–7	0.01	14%	19 Aug →
cache	13–6	0.08	11%	19 Aug →
mirage	13–9	0.01	13%	19 Aug →
inferno	8–13	-0.01	9%	19 Aug →
nuke	13–10	0.04	13%	19 Aug →
cache	6–13	0.05	12%	16 Aug →
mirage	13–10	0.21	10%	31 Jul →
ancient	13–10	0.06	8%	31 Jul →
dust2	9–13	0.05	15%	31 Jul →
nuke	13–5	0.05	23%	31 Jul →
dust2	15–15	0.06	11%	31 Jul →
mirage	13–4	0.15	15%	31 Jul →
inferno	14–16	-0.05	12%	30 Jul →
cache	13–5	0.06	19%	30 Jul →
nuke	13–9	-0.01	19%	29 Jul →
mirage	14–16	0.02	10%	29 Jul →
inferno	11–13	-0.01	14%	29 Jul →
nuke	13–11	-0.00	10%	29 Jul →
dust2	13–11	0.04	16%	28 Jul →
nuke	8–13	-0.01	12%	24 Jul →
cache	13–11	-0.07	9%	24 Jul →
inferno	13–4	0.09	6%	24 Jul →
mirage	14–16	0.02	13%	23 Jul →
inferno	10–13	-0.02	9%	22 Jul →
inferno	13–7	-0.02	15%	22 Jul →
mirage	13–9	0.02	12%	22 Jul →
dust2	13–11	-0.00	13%	22 Jul →
dust2	10–13	0.01	19%	22 Jul →
inferno	11–13	0.01	16%	22 Jul →
cache	15–15	-0.02	12%	21 Jul →
mirage	13–11	-0.01	9%	21 Jul →
cache	13–8	0.03	7%	21 Jul →
mirage	11–13	0.05	7%	21 Jul →
ancient	6–13	-0.06	11%	21 Jul →
mirage	13–3	0.11	6%	21 Jul →
mirage	13–2	0.03	8%	21 Jul →
ancient	10–13	0.09	11%	21 Jul →
cache	13–1	0.16	14%	21 Jul →
mirage	8–13	-0.01	8%	20 Jul →
ancient	16–13	-0.01	11%	20 Jul →
ancient	4–13	-0.09	6%	20 Jul →
inferno	13–7	0.15	8%	19 Jul →
inferno	10–13	0.05	15%	19 Jul →
mirage	8–13	0.01	7%	19 Jul →
ancient	7–13	0.08	11%	19 Jul →
nuke	8–13	-0.03	18%	19 Jul →
anubis	10–13	0.02	18%	19 Jul →
mirage	13–8	0.02	7%	18 Jul →
mirage	8–13	-0.02	21%	18 Jul →
mirage	16–14	-0.00	14%	18 Jul →
dust2	7–13	-0.04	18%	18 Jul →
anubis	13–11	-0.01	11%	18 Jul →
dust2	16–14	-0.01	21%	17 Jul →
ancient	13–10	-0.01	8%	16 Jul →
anubis	1–13	-0.07	15%	16 Jul →
cache	6–13	-0.06	25%	16 Jul →
inferno	9–13	0.06	10%	15 Jul →
cache	13–10	0.02	11%	14 Jul →
mirage	13–10	0.04	8%	14 Jul →
inferno	1–13	-0.03	25%	14 Jul →
cache	2–13	0.06	8%	14 Jul →
ancient	13–9	0.07	14%	14 Jul →
cache	15–15	0.03	15%	14 Jul →
cache	11–13	-0.02	9%	12 Jul →
mirage	11–13	0.00	10%	12 Jul →
cache	13–6	0.07	11%	12 Jul →
mirage	11–13	-0.04	11%	12 Jul →
cache	13–3	0.03	12%	12 Jul →
ancient	13–8	0.02	12%	12 Jul →
dust2	6–13	-0.01	19%	12 Jul →
mirage	15–15	-0.03	10%	12 Jul →
mirage	10–13	-0.05	7%	11 Jul →
cache	13–3	0.05	11%	11 Jul →