Fnizzan — CS2 Stats

76561198016205009[U:1:55939281]✓ No bans

1,033Tracked matches48%Win rate2021Tracked since

CSDB Rating4.3 Developing

Premier CS Rating17,319Purple band · top ~19.2% of ranked players (population est.)

CSDB Leaderboard#5655 of 9727 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

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

Aim41

Positioning45

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLLWWWWLLLW

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

Player DNA

Aim4.1

Aggression4.8

Utility6.8

Positioning4.5

Opening Duels1.5

Clutch6.4

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, opening-duel success.

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. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1

Positioning4.5

Utility6.8

Mechanics3.9

Opening Duels1.5

Win Impact4.4

Composite 4.3/10 (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 time622ms−15ms

first ⅓ avg 637ms → last ⅓ avg 622ms

Headshot accuracy13.2%+1.4%

first ⅓ avg 11.8% → last ⅓ avg 13.2%

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

0.15Best rating — nuke 13–9

13–2Biggest win — nuke

5Longest win streak

L2Current streak

8–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

vertigoBest map · 67% over 9anubisWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	26	13–13	50%	0.02
anubis	D	18	6–12	33%	0.00
mirage	A	17	10–7	59%	-0.00
ancient	D	15	5–10	33%	0.00
vertigo	S	9	6–3	67%	0.03
cache	B	8	4–4	50%	0.02
dust2	—	4	1–3	25%	0.01
overpass	—	2	0–2	0%	0.00
inferno	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

79Matches

53%Win rate

1.09Avg K/D

86.3ADR

36%Headshot %

Clutches & streaks

52%1v1 clutch win

20%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	16	75%	1.42	16.3
Ancient	9	22%	0.91	13.3
Mirage	8	62%	1.05	16.3
Anubis	7	71%	1.35	16.0
Cache	5	60%	1.09	17.6
Vertigo	3	33%	0.95	17.7
Dust2	1	0%	0.76	13.0

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.

12.6%Headshot accuracy

34.7%Accuracy (enemy spotted)

38.6%Spray accuracy

67.4%Counter-strafing

12.6°Preaim

631msReaction time

31.4%T opening success

40.7%CT opening success

0.62Enemies flashed / flash

6.6%Flash assists

15.68HE damage / grenade

5.16Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.6234° — above the 12° mark we flag
Aim Training →
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 12.6209% — below the 15% mark we flag
Aim Training →

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	7–13	-0.01	14%	27 Aug →
ancient	5–13	-0.02	12%	26 Aug →
mirage	13–8	0.00	17%	26 Aug →
anubis	13–3	0.02	12%	25 Aug →
vertigo	13–10	-0.05	6%	23 Aug →
mirage	16–12	0.01	10%	23 Aug →
nuke	9–13	0.01	9%	20 Aug →
mirage	9–13	-0.01	10%	19 Aug →
ancient	7–13	0.00	17%	18 Aug →
nuke	13–5	0.05	9%	18 Aug →
cache	13–9	0.03	13%	17 Aug →
anubis	13–8	0.01	10%	17 Aug →
mirage	9–13	-0.03	7%	17 Aug →
anubis	11–13	-0.06	7%	12 Aug →
anubis	6–13	0.03	15%	10 Aug →
cache	11–13	-0.03	5%	10 Aug →
nuke	13–9	0.05	16%	6 Aug →
anubis	16–14	-0.00	7%	6 Aug →
dust2	9–13	-0.01	21%	5 Aug →
nuke	3–13	-0.06	14%	5 Aug →
cache	13–8	0.02	10%	5 Aug →
nuke	13–9	-0.04	19%	3 Aug →
mirage	4–13	-0.06	14%	29 Jul →
cache	13–6	0.06	22%	29 Jul →
nuke	11–13	0.09	14%	29 Jul →
ancient	5–13	0.07	17%	29 Jul →
ancient	5–13	-0.08	17%	24 Jul →
nuke	13–10	-0.01	12%	24 Jul →
mirage	13–9	0.00	14%	23 Jul →
nuke	15–15	0.04	16%	23 Jul →
anubis	6–13	0.03	24%	22 Jul →
anubis	15–15	-0.02	15%	15 Jul →
nuke	2–13	-0.07	11%	15 Jul →
ancient	13–6	-0.00	10%	15 Jul →
mirage	13–9	0.01	11%	15 Jul →
ancient	2–13	-0.09	6%	12 Jul →
nuke	10–13	0.02	12%	12 Jul →
cache	8–13	0.01	13%	9 Jul →
nuke	13–2	0.11	9%	9 Jul →
anubis	13–8	0.05	20%	7 Jul →
mirage	11–13	0.10	6%	7 Jul →
ancient	16–14	0.01	15%	6 Jul →
nuke	13–11	-0.03	13%	6 Jul →
vertigo	4–13	0.04	9%	5 Jul →
cache	3–13	-0.06	9%	5 Jul →
vertigo	4–13	-0.04	18%	4 Jul →
mirage	13–10	0.06	21%	4 Jul →
nuke	11–13	0.04	10%	4 Jul →
nuke	6–13	-0.02	9%	2 Jul →
anubis	7–13	-0.00	17%	2 Jul →
mirage	4–13	-0.06	10%	2 Jul →
cache	7–13	0.03	10%	26 Jun →
vertigo	13–10	0.07	11%	26 Jun →
ancient	11–13	0.03	6%	24 Jun →
mirage	13–4	-0.02	18%	24 Jun →
nuke	11–13	0.00	15%	24 Jun →
mirage	13–9	0.01	17%	23 Jun →
cache	13–3	0.08	15%	23 Jun →
anubis	4–13	-0.03	5%	22 Jun →
vertigo	13–10	0.07	10%	22 Jun →
ancient	11–13	-0.00	11%	20 Jun →
inferno	7–13	-0.07	16%	19 Jun →
dust2	13–7	0.03	13%	19 Jun →
ancient	13–5	0.07	13%	18 Jun →
dust2	6–13	0.05	26%	18 Jun →
overpass	5–13	0.02	8%	17 Jun →
ancient	13–9	0.09	11%	17 Jun →
nuke	13–8	0.06	11%	17 Jun →
anubis	3–13	-0.05	15%	17 Jun →
vertigo	13–9	-0.02	20%	16 Jun →
mirage	6–13	-0.08	11%	15 Jun →
dust2	10–13	-0.03	13%	14 Jun →
mirage	13–16	0.01	17%	13 Jun →
nuke	13–11	0.01	16%	12 Jun →
ancient	16–12	0.03	7%	11 Jun →
nuke	13–9	0.15	14%	8 Jun →
anubis	3–13	0.07	8%	7 Jun →
mirage	13–11	0.05	16%	5 Jun →
nuke	13–4	0.06	22%	5 Jun →
anubis	13–4	0.14	14%	30 May →
nuke	13–11	0.03	11%	30 May →
vertigo	13–11	0.07	14%	30 May →
nuke	8–13	-0.02	8%	23 May →
anubis	9–13	-0.06	9%	23 May →
anubis	4–13	-0.07	16%	22 May →
ancient	5–13	0.00	15%	21 May →
nuke	13–7	0.03	15%	21 May →
anubis	11–13	-0.03	8%	19 May →
overpass	8–13	-0.01	10%	18 May →
mirage	13–3	-0.03	9%	18 May →
ancient	11–13	-0.09	5%	17 May →
nuke	4–13	-0.02	3%	17 May →
nuke	13–16	-0.01	12%	16 May →
vertigo	13–6	0.09	10%	16 May →
mirage	13–9	-0.01	8%	16 May →
ancient	9–13	-0.01	10%	13 May →
nuke	13–10	-0.00	15%	12 May →
anubis	19–17	0.05	11%	12 May →
vertigo	8–13	0.01	7%	10 May →
anubis	8–13	-0.06	8%	9 May →