FaZe fart — CS2 Stats

76561198880416921[U:1:920151193]Steam profile ↗✓ No bans

749Tracked matches33%Win rate2023Tracked since

CSDB Rating4.6 Developing

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning57

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLWLLWLLLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim5.0

Aggression6.9

Utility4.7

Positioning5.7

Opening Duels4.0

Clutch4.0

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: opening-fight frequency, utility contribution.

Where you differ: 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 57% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim5.0

Positioning5.7

Utility4.7

Mechanics5.7

Opening Duels4.0

Win Impact0.0

Composite 4.6/10 (Developing), 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 rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time636ms−24ms

first ⅓ avg 660ms → last ⅓ avg 636ms

Headshot accuracy10.2%−1.3%

first ⅓ avg 11.5% → last ⅓ avg 10.2%

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

0.13Best rating — mirage 13–8

13–1Biggest win — overpass

7Longest win streak

5–10In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	17	7–10	41%	0.03
nuke	B	13	6–7	46%	0.02
mirage	B	11	5–6	45%	0.02
vertigo	A	11	6–5	55%	0.02
ancient	B	10	5–5	50%	0.02
inferno	C	10	4–6	40%	-0.01
anubis	A	9	5–4	56%	-0.01
cache	S	6	4–2	67%	-0.00
train	—	4	4–0	100%	-0.01
overpass	—	3	1–2	33%	0.00
office	—	2	2–0	100%	0.01
warden	—	2	1–1	50%	0.04
alpine	—	1	0–1	0%	0.01
stronghold	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches

75%Win rate

0.83Avg K/D

74.1ADR

38%Headshot %

Clutches & streaks

40%1v1 clutch win

43%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	100%	0.94	14.7
Anubis	2	50%	0.69	9.0
Dust2	1	100%	0.82	14.0
Inferno	1	100%	0.86	12.0
Ancient	1	0%	0.75	12.0

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.

10.0%Headshot accuracy

35.3%Accuracy (enemy spotted)

38.7%Spray accuracy

75.5%Counter-strafing

11.0°Preaim

629msReaction time

34.9%T opening success

57.3%CT opening success

0.61Enemies flashed / flash

4.1%Flash assists

7.86HE damage / grenade

9.33Flashes / 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 9.9871% — below the 15% mark we flag
Aim Training →
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 34.9005% — 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.

40% win rate across 10 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	10–13	-0.02	9%	19 Aug →
mirage	13–9	0.02	10%	19 Aug →
dust2	6–13	0.09	12%	18 Aug →
vertigo	1–13	-0.06	4%	18 Aug →
cache	13–2	-0.01	10%	18 Aug →
dust2	4–4	0.08	6%	17 Aug →
vertigo	7–13	0.01	12%	17 Aug →
ancient	1–13	-0.05	8%	13 Aug →
train	13–3	0.00	11%	13 Aug →
mirage	13–9	0.07	5%	9 Aug →
cache	11–13	-0.05	8%	9 Aug →
dust2	11–13	-0.04	4%	9 Aug →
nuke	11–13	-0.02	8%	9 Aug →
ancient	7–13	0.03	19%	9 Aug →
anubis	10–13	-0.01	13%	9 Aug →
inferno	8–13	-0.01	12%	9 Aug →
dust2	15–15	0.05	10%	8 Aug →
nuke	13–4	0.08	11%	8 Aug →
anubis	10–13	-0.05	15%	8 Aug →
nuke	7–13	-0.02	5%	8 Aug →
mirage	12–12	0.01	12%	4 Aug →
train	13–7	-0.00	6%	4 Aug →
nuke	7–13	-0.06	9%	31 Jul →
ancient	10–1	0.11	8%	31 Jul →
dust2	5–13	-0.07	20%	31 Jul →
nuke	9–13	0.10	12%	30 Jul →
train	13–8	-0.05	10%	30 Jul →
ancient	12–12	-0.00	5%	11 Jul →
dust2	11–13	0.07	11%	2 Jul →
cache	13–8	0.03	14%	27 Jun →
cache	13–10	0.04	11%	7 May →
cache	7–13	-0.01	19%	6 May →
cache	13–8	0.00	11%	1 May →
vertigo	11–13	-0.00	9%	19 Mar →
ancient	9–13	-0.02	7%	3 Mar →
mirage	8–13	-0.02	9%	3 Mar →
nuke	7–13	0.11	10%	3 Mar →
nuke	13–6	0.04	7%	26 Feb →
inferno	6–13	-0.04	6%	25 Feb →
nuke	9–13	-0.03	5%	25 Feb →
dust2	13–7	0.04	10%	24 Feb →
vertigo	6–13	0.09	8%	24 Feb →
dust2	13–7	0.02	6%	23 Feb →
nuke	12–12	-0.05	11%	23 Feb →
nuke	13–7	0.02	12%	22 Feb →
inferno	3–13	0.01	11%	22 Feb →
dust2	9–13	0.05	19%	21 Feb →
ancient	13–8	0.07	6%	21 Feb →
mirage	13–6	0.05	6%	21 Feb →
inferno	11–13	-0.01	10%	20 Feb →
overpass	12–12	0.04	9%	20 Feb →
dust2	13–5	0.08	19%	20 Feb →
inferno	11–13	0.02	15%	20 Feb →
dust2	9–13	0.01	17%	17 Feb →
mirage	13–8	0.13	12%	17 Feb →
vertigo	13–5	-0.04	9%	17 Feb →
vertigo	13–3	0.12	9%	16 Feb →
anubis	13–7	-0.02	19%	15 Feb →
mirage	4–13	0.04	12%	14 Feb →
nuke	13–2	0.11	14%	14 Feb →
vertigo	13–6	-0.00	8%	14 Feb →
vertigo	13–11	0.02	18%	13 Feb →
dust2	13–8	-0.02	13%	13 Feb →
dust2	12–12	0.08	7%	8 Feb →
anubis	3–13	-0.01	12%	8 Feb →
mirage	5–13	-0.01	24%	6 Feb →
dust2	13–2	0.04	24%	6 Feb →
anubis	6–13	-0.03	7%	5 Feb →
inferno	7–13	-0.04	16%	3 Feb →
dust2	13–11	-0.02	11%	3 Feb →
train	13–5	0.01	14%	1 Feb →
anubis	13–7	0.00	9%	1 Feb →
ancient	13–11	-0.01	21%	31 Jan →
overpass	13–1	0.05	12%	31 Jan →
office	13–6	-0.02	13%	31 Jan →
mirage	5–13	-0.03	23%	31 Jan →
inferno	13–9	-0.01	2%	31 Jan →
dust2	8–13	-0.02	18%	31 Jan →
ancient	13–11	0.00	16%	31 Jan →
alpine	3–13	0.01	17%	29 Jan →
inferno	13–2	0.00	13%	29 Jan →
nuke	13–3	-0.04	11%	28 Jan →
inferno	13–6	0.05	17%	28 Jan →
vertigo	13–7	-0.02	9%	27 Jan →
anubis	13–6	0.03	5%	27 Jan →
vertigo	13–7	0.10	17%	27 Jan →
overpass	1–3	-0.07	0%	26 Jan →
inferno	7–0	-0.04	0%	26 Jan →
stronghold	13–7	0.04	18%	26 Jan →
warden	13–2	0.03	12%	26 Jan →
mirage	11–13	-0.09	6%	26 Jan →
vertigo	9–13	0.01	8%	24 Jan →
ancient	13–9	0.06	11%	24 Jan →
office	13–7	0.05	9%	24 Jan →
nuke	13–10	0.01	10%	24 Jan →
anubis	13–11	0.01	11%	23 Jan →
mirage	13–2	0.09	11%	23 Jan →
dust2	13–7	0.01	12%	23 Jan →
anubis	13–5	-0.03	12%	22 Jan →
warden	10–13	0.05	11%	22 Jan →