Fischermand — CS2 Stats

DK76561198092470949[U:1:132205221]Steam profile ↗community banned

2,264Tracked matches55%Win rate2020Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating16,063Purple band · top ~24.2% of ranked players (population est.)

CSDB Leaderboard#33613 of 60029 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

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

Positioning47

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLLWWLWWLLL

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

Player DNA

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

Aim6.1

Aggression4.7

Utility6.6

Positioning4.7

Opening Duels0.7

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 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning4.7

Utility6.6

Mechanics4.8

Opening Duels1.3

Win Impact6.7

Composite 5.3/10 (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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time549ms−13ms

first ⅓ avg 562ms → last ⅓ avg 549ms

Headshot accuracy12.3%−0.4%

first ⅓ avg 12.7% → last ⅓ avg 12.3%

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 — inferno 13–6

13–2Biggest win — nuke

4Longest win streak

L2Current streak

10–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 85% over 20mirageWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	32	16–16	50%	0.01
ancient	D	29	10–19	34%	0.00
nuke	S	20	17–3	85%	0.04
anubis	D	12	3–9	25%	0.00
mirage	D	7	1–6	14%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

149Matches

52%Win rate

1.43Avg K/D

—ADR

25%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	6	50%	2.08	20.3
Ancient	3	33%	2.03	19.3
Nuke	2	100%	5.44	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.

12.2%Headshot accuracy

35.8%Accuracy (enemy spotted)

38.9%Spray accuracy

71.5%Counter-strafing

10.5°Preaim

547msReaction time

25.3%T opening success

40.6%CT opening success

0.42Enemies flashed / flash

2.7%Flash assists

10.10HE damage / grenade

17.66Flashes / 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.

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 12.1745% — below the 15% mark we flag
Aim Training →
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 0.4217 — 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 25.2827% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	-0.03	9%	30 Aug →
ancient	5–13	-0.08	12%	30 Aug →
ancient	13–10	0.03	24%	26 Aug →
inferno	13–7	0.00	13%	26 Aug →
ancient	11–13	0.03	12%	26 Aug →
ancient	13–7	0.10	12%	25 Aug →
mirage	16–13	0.04	10%	25 Aug →
anubis	10–13	0.04	13%	25 Aug →
ancient	14–16	0.01	9%	24 Aug →
mirage	3–13	-0.04	10%	24 Aug →
inferno	13–3	-0.04	19%	24 Aug →
inferno	6–13	0.04	10%	23 Aug →
inferno	3–13	0.04	30%	23 Aug →
inferno	13–4	-0.04	22%	23 Aug →
nuke	13–2	0.12	11%	23 Aug →
nuke	13–5	0.11	10%	20 Aug →
nuke	13–10	-0.05	9%	20 Aug →
ancient	14–16	-0.03	14%	16 Aug →
ancient	7–13	-0.05	4%	16 Aug →
inferno	13–6	0.12	10%	16 Aug →
anubis	4–13	0.04	9%	16 Aug →
nuke	13–9	0.01	14%	14 Aug →
nuke	13–3	0.06	16%	14 Aug →
inferno	15–15	0.01	11%	13 Aug →
anubis	10–13	-0.05	6%	13 Aug →
nuke	13–3	-0.01	8%	13 Aug →
ancient	13–2	0.10	14%	12 Aug →
ancient	13–8	-0.04	8%	12 Aug →
ancient	10–13	-0.06	13%	12 Aug →
ancient	13–10	0.00	9%	12 Aug →
ancient	10–13	-0.06	13%	12 Aug →
inferno	13–9	0.03	10%	11 Aug →
inferno	16–14	0.12	11%	11 Aug →
anubis	13–10	0.07	19%	10 Aug →
inferno	13–11	-0.00	13%	10 Aug →
ancient	13–16	0.02	12%	10 Aug →
nuke	13–5	-0.00	15%	10 Aug →
ancient	9–13	-0.06	2%	10 Aug →
anubis	11–13	-0.00	7%	10 Aug →
nuke	15–15	0.07	4%	9 Aug →
ancient	10–13	0.03	7%	9 Aug →
ancient	13–7	0.03	9%	5 Aug →
nuke	13–11	0.10	9%	5 Aug →
nuke	13–10	0.05	8%	3 Aug →
inferno	4–13	-0.01	23%	3 Aug →
nuke	2–13	-0.02	13%	3 Aug →
anubis	9–13	-0.02	17%	2 Aug →
nuke	13–3	0.05	7%	2 Aug →
ancient	13–5	0.03	7%	2 Aug →
ancient	13–9	0.01	13%	30 Jul →
anubis	13–11	0.01	11%	30 Jul →
anubis	1–13	-0.07	6%	30 Jul →
inferno	11–13	-0.00	12%	28 Jul →
ancient	6–13	0.02	13%	28 Jul →
nuke	13–2	0.02	6%	27 Jul →
mirage	1–13	-0.03	8%	27 Jul →
mirage	4–13	0.02	9%	27 Jul →
inferno	11–13	0.07	8%	26 Jul →
anubis	15–15	-0.03	9%	26 Jul →
anubis	13–8	0.06	9%	26 Jul →
ancient	2–7	0.02	17%	22 Jul →
anubis	8–13	-0.03	21%	22 Jul →
ancient	13–3	0.05	13%	22 Jul →
mirage	7–13	-0.04	12%	21 Jul →
inferno	10–13	-0.01	16%	21 Jul →
ancient	5–13	0.01	9%	20 Jul →
ancient	6–13	-0.05	6%	19 Jul →
inferno	4–13	-0.07	9%	19 Jul →
nuke	13–10	0.05	12%	19 Jul →
nuke	11–13	0.01	11%	18 Jul →
inferno	16–14	0.07	17%	18 Jul →
inferno	10–13	0.01	7%	17 Jul →
nuke	13–2	0.00	16%	16 Jul →
ancient	11–13	-0.00	21%	16 Jul →
inferno	13–11	-0.02	23%	16 Jul →
ancient	13–9	0.06	7%	16 Jul →
mirage	7–13	-0.02	5%	14 Jul →
inferno	0–13	-0.06	14%	14 Jul →
ancient	13–16	0.02	24%	13 Jul →
inferno	13–11	0.07	17%	13 Jul →
inferno	4–13	-0.02	0%	12 Jul →
inferno	15–15	0.01	13%	12 Jul →
inferno	11–13	-0.01	20%	12 Jul →
inferno	13–5	0.04	12%	12 Jul →
nuke	13–8	0.01	19%	30 Jun →
ancient	11–13	-0.07	15%	30 Jun →
inferno	15–15	-0.01	14%	30 Jun →
nuke	16–13	0.06	22%	25 Jun →
inferno	13–8	0.06	16%	25 Jun →
inferno	13–11	-0.04	10%	25 Jun →
anubis	14–16	0.02	13%	17 Jun →
ancient	2–13	-0.03	12%	17 Jun →
inferno	13–11	0.01	7%	16 Jun →
inferno	13–6	0.05	15%	16 Jun →
inferno	10–13	-0.05	5%	16 Jun →
inferno	13–3	0.02	3%	16 Jun →
inferno	9–13	-0.02	11%	16 Jun →
nuke	13–11	0.01	9%	16 Jun →
nuke	13–3	0.11	9%	14 Jun →
ancient	5–13	0.00	14%	14 Jun →