Fonzi — CS2 Stats

76561198271417415[U:1:311151687]✓ No bans

1,575Tracked matches37%Win rate2021Tracked since

CSDB Rating5.2 DevelopingHybrid Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim61

Positioning50

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateLWWLLLLWWL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim6.1

Aggression4.6

Utility6.1

Positioning5.0

Opening Duels1.1

Clutch4.2

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 NiKo 89% 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 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms 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

Aim6.1

Positioning5.0

Utility6.1

Mechanics8.4

Opening Duels1.7

Win Impact0.6

Composite 5.2/10 (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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time616ms+53ms

first ⅓ avg 563ms → last ⅓ avg 616ms

Headshot accuracy21.4%+2.3%

first ⅓ avg 19.1% → last ⅓ avg 21.4%

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 — dust2 12–12

13–0Biggest win — dust2

7Longest win streak

8–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 67% over 6nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	11–11	50%	0.00
dust2	C	21	8–13	38%	0.03
inferno	B	18	9–9	50%	0.00
ancient	B	13	6–7	46%	0.03
vertigo	C	7	3–4	43%	0.01
nuke	D	6	1–5	17%	-0.02
anubis	S	6	4–2	67%	0.00
overpass	A	5	3–2	60%	-0.00
cache	—	2	0–2	0%	-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

172Matches

55%Win rate

1.22Avg K/D

89.4ADR

47%Headshot %

Clutches & streaks

41%1v1 clutch win

27%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	36	64%	1.39	18.3
Dust2	23	52%	1.30	16.3
Anubis	15	60%	1.37	15.7
Inferno	13	62%	1.53	18.8
Nuke	10	80%	1.38	17.9
Ancient	9	33%	0.99	18.2
Vertigo	1	100%	1.06	18.0
Train	1	0%	0.94	16.0

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.

21.4%Headshot accuracy

28.6%Accuracy (enemy spotted)

29.0%Spray accuracy

87.9%Counter-strafing

10.3°Preaim

614msReaction time

25.3%T opening success

43.6%CT opening success

0.59Enemies flashed / flash

6.0%Flash assists

8.44HE damage / grenade

9.09Flashes / 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 25.2838% — 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.

17% win rate across 6 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
nuke	14–16	-0.05	14%	2 May →
inferno	13–10	-0.01	20%	2 May →
nuke	16–13	-0.03	15%	2 May →
mirage	8–13	-0.08	13%	1 May →
cache	7–13	0.03	40%	1 May →
cache	10–13	-0.07	18%	30 Apr →
inferno	10–13	-0.02	17%	17 Apr →
overpass	13–10	0.03	24%	12 Apr →
ancient	13–6	0.02	24%	12 Apr →
ancient	10–13	0.02	24%	11 Apr →
mirage	13–5	0.01	19%	11 Apr →
mirage	5–13	0.00	15%	10 Apr →
inferno	13–8	0.09	19%	10 Apr →
dust2	1–13	-0.07	14%	10 Apr →
ancient	9–13	0.05	36%	4 Apr →
dust2	13–10	0.02	55%	4 Apr →
inferno	5–2	-0.01	10%	28 Feb →
inferno	9–7	0.06	26%	27 Feb →
mirage	13–3	0.03	29%	22 Feb →
dust2	13–8	0.03	17%	22 Feb →
overpass	8–13	-0.04	21%	22 Feb →
overpass	6–13	0.00	17%	22 Feb →
dust2	13–3	0.06	19%	7 Feb →
ancient	5–13	-0.06	18%	7 Feb →
dust2	5–13	-0.07	30%	7 Feb →
inferno	11–13	0.06	19%	1 Feb →
nuke	9–13	-0.05	17%	1 Feb →
mirage	13–16	0.00	22%	31 Jan →
dust2	9–13	0.03	17%	30 Jan →
ancient	11–13	0.03	19%	30 Jan →
vertigo	2–13	-0.09	10%	30 Jan →
vertigo	13–11	-0.05	20%	24 Jan →
mirage	8–13	0.03	25%	26 Dec →
inferno	7–13	-0.03	28%	26 Dec →
dust2	13–4	0.05	17%	21 Dec →
overpass	13–10	0.00	15%	21 Dec →
vertigo	8–1	0.08	26%	21 Dec →
mirage	3–13	0.07	20%	21 Dec →
inferno	12–12	0.07	13%	21 Dec →
mirage	13–11	0.01	19%	20 Dec →
dust2	4–13	0.02	18%	20 Dec →
vertigo	8–8	-0.04	19%	19 Dec →
ancient	3–13	-0.06	44%	19 Dec →
mirage	13–6	-0.05	17%	19 Dec →
dust2	1–13	-0.03	30%	19 Dec →
inferno	11–13	-0.01	13%	18 Dec →
vertigo	12–12	0.03	20%	18 Dec →
ancient	13–11	0.06	20%	18 Dec →
inferno	13–9	0.00	14%	18 Dec →
mirage	13–6	0.04	26%	18 Dec →
ancient	13–1	0.13	20%	18 Dec →
vertigo	13–7	0.04	27%	18 Dec →
dust2	13–0	0.03	22%	18 Dec →
inferno	13–11	0.02	22%	17 Dec →
dust2	3–13	0.01	16%	17 Dec →
mirage	8–13	0.04	23%	17 Dec →
overpass	13–10	-0.02	19%	18 Jul →
dust2	13–6	0.03	16%	18 Jul →
mirage	9–13	-0.02	24%	13 Jul →
dust2	9–13	-0.01	17%	13 Jul →
nuke	4–13	0.00	20%	13 Jul →
mirage	13–11	0.02	17%	12 Jul →
ancient	10–13	0.07	27%	12 Jul →
dust2	12–12	0.03	31%	12 Jul →
dust2	13–7	0.14	18%	12 Jul →
anubis	9–13	0.04	17%	12 Jul →
mirage	13–10	0.08	22%	11 Jul →
inferno	9–13	0.01	26%	11 Jul →
anubis	13–6	-0.04	20%	5 Jul →
mirage	7–13	-0.00	21%	5 Jul →
dust2	14–16	0.01	24%	5 Jul →
inferno	10–13	-0.00	23%	5 Jul →
mirage	13–3	0.01	24%	29 Jun →
dust2	12–12	0.15	31%	27 Jun →
anubis	13–8	0.03	28%	27 Jun →
inferno	16–14	-0.07	14%	27 Jun →
mirage	8–3	-0.06	15%	27 Jun →
dust2	13–9	0.02	24%	27 Jun →
mirage	16–14	0.00	13%	27 Jun →
ancient	13–7	0.03	21%	26 Jun →
inferno	1–9	-0.05	22%	21 Jun →
mirage	7–13	-0.03	19%	21 Jun →
anubis	0–13	-0.09	17%	21 Jun →
mirage	13–9	0.01	22%	21 Jun →
dust2	6–13	0.04	21%	21 Jun →
anubis	13–2	-0.03	27%	20 Jun →
nuke	4–13	0.06	12%	20 Jun →
dust2	10–13	0.05	19%	20 Jun →
vertigo	8–8	0.11	28%	7 Jun →
ancient	13–8	0.07	17%	7 Jun →
ancient	7–13	0.03	7%	31 May →
dust2	6–13	0.01	17%	31 May →
inferno	19–16	-0.01	18%	31 May →
mirage	5–13	-0.02	16%	23 May →
anubis	13–7	0.12	12%	23 May →
inferno	13–8	-0.02	16%	23 May →
mirage	13–16	-0.01	10%	23 May →
inferno	1–7	-0.05	16%	23 May →
ancient	13–8	0.02	15%	23 May →
nuke	8–13	-0.03	15%	22 May →