St0rkFisher — CS2 Stats

DK76561199216697283[U:1:1256431555]Steam profile ↗✓ No bans

470Tracked matches54%Win rate2022Tracked since

1,102Hours in CS3Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

FaceitLevel 4 · 965 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median	Level 5 median	vs Level 5
Headshot rate	66.0%	42.7%	44.0%	above
Shot accuracy	9.8%	10.8%	11.6%	1.8% short
Kill/death ratio	1.24	1.00	1.03	above
Match win rate	41.2%	44.1%	45.1%	3.9% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim82

Positioning44

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateWWLWLLLWLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim8.2

Aggression5.0

Utility4.9

Positioning4.4

Opening Duels0.6

Clutch3.4

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 86% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 584ms 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

Aim8.2

Positioning4.4

Utility4.9

Mechanics7.4

Opening Duels1.1

Win Impact6.2

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.04

first ⅓ avg -0.02 → last ⅓ avg 0.02

Reaction time577ms−16ms

first ⅓ avg 593ms → last ⅓ avg 577ms

Headshot accuracy22.8%+2.7%

first ⅓ avg 20.1% → last ⅓ avg 22.8%

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

0.18Best rating — cache 13–4

13–1Biggest win — anubis

4Longest win streak

W2Current streak

10–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 71% over 7infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
vertigo	B	15	8–7	53%	0.02
ancient	B	13	6–7	46%	-0.01
inferno	D	12	3–9	25%	-0.01
anubis	D	12	4–8	33%	-0.01
nuke	A	11	7–4	64%	0.00
overpass	D	9	3–6	33%	-0.01
cache	C	7	3–4	43%	0.03
mirage	S	7	5–2	71%	0.00
dust2	B	6	3–3	50%	0.01
office	—	3	0–3	0%	0.02
train	—	2	0–2	0%	-0.00
alpine	—	1	0–1	0%	0.04
warden	—	1	1–0	100%	0.04
golden	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,042Lifetime kills

1.24K/D · Top 25% of Level 4 players

1,404Matches

41.2%Match win rate

66.0%Headshot % · Top 5% of Level 4 players

9.8%Shot accuracy

4,022MVPs

1,044Hours (in match)

1,633Bombs planted

568Bombs defused

Most-used weapons

AK-4716,256

M4A4 / M4A1-S5,364

Desert Eagle3,808

P2000 / USP-S2,754

AWP1,704

MP91,495

Glock-181,091

MAC-101,006

Galil AR708

FAMAS542

Lifetime map wins

2,583inferno

1,400vertigo

1,303nuke

1,074dust2

393train

72cbble

58office

6ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

30Matches

47%Win rate

1.25Avg K/D

93.6ADR

56%Headshot %

Clutches & streaks

37%1v1 clutch win

39%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	67%	1.44	18.8
Nuke	5	20%	1.06	16.6
Anubis	5	40%	1.05	12.4
Dust2	4	75%	1.58	20.5
Inferno	4	0%	0.95	14.0
Vertigo	3	67%	0.97	11.3
Ancient	2	100%	2.14	35.0
Train	1	0%	1.07	15.0

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.

22.6%Headshot accuracy

36.9%Accuracy (enemy spotted)

40.0%Spray accuracy

83.3%Counter-strafing

9.6°Preaim

584msReaction time

26.0%T opening success

38.8%CT opening success

0.46Enemies flashed / flash

7.7%Flash assists

7.05HE damage / grenade

7.73Flashes / 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.

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 0.4587 — 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 25.9641% — 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.

25% win rate across 12 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	13–4	0.18	28%	7 Jul →
overpass	13–8	0.01	14%	6 Jul →
inferno	3–13	-0.10	38%	29 Jun →
ancient	13–10	-0.05	15%	29 Jun →
anubis	1–6	-0.02	17%	27 Jun →
office	4–13	0.01	17%	27 Jun →
vertigo	8–13	0.04	30%	27 Jun →
dust2	13–11	0.03	26%	26 Jun →
inferno	6–13	0.03	23%	26 Jun →
anubis	13–8	0.02	24%	26 Jun →
anubis	13–9	-0.01	31%	17 Jun →
cache	10–13	-0.03	20%	17 Jun →
vertigo	12–12	-0.02	26%	17 Jun →
mirage	13–3	0.02	21%	17 Jun →
cache	8–13	0.01	33%	16 Jun →
vertigo	13–7	0.04	15%	8 Jun →
ancient	13–7	0.05	13%	8 Jun →
mirage	11–13	-0.02	9%	5 Jun →
vertigo	8–13	0.02	29%	5 Jun →
vertigo	13–11	0.10	30%	3 Jun →
vertigo	13–8	0.16	27%	3 Jun →
mirage	13–11	0.01	17%	1 Jun →
ancient	13–10	-0.01	18%	1 Jun →
ancient	11–13	0.07	19%	1 Jun →
nuke	12–12	0.09	27%	31 May →
cache	9–13	-0.07	21%	26 May →
cache	13–3	0.04	17%	29 Apr →
cache	13–11	0.07	29%	29 Apr →
cache	7–13	0.00	23%	29 Apr →
vertigo	3–13	-0.05	15%	27 Apr →
nuke	10–1	0.03	35%	19 Apr →
anubis	8–13	0.01	27%	19 Apr →
ancient	11–13	-0.02	18%	19 Apr →
anubis	7–13	-0.02	18%	15 Apr →
overpass	1–13	-0.01	7%	15 Apr →
anubis	7–13	-0.04	21%	11 Apr →
inferno	6–13	-0.04	20%	10 Apr →
vertigo	13–8	0.01	16%	10 Apr →
train	6–13	0.06	28%	10 Apr →
nuke	13–5	0.03	21%	9 Apr →
office	7–13	-0.01	18%	5 Apr →
nuke	7–13	0.02	24%	3 Apr →
vertigo	13–7	0.06	23%	3 Apr →
inferno	13–8	0.14	17%	3 Apr →
anubis	4–13	0.02	15%	3 Apr →
dust2	5–13	-0.00	20%	1 Apr →
mirage	10–13	0.04	22%	1 Apr →
dust2	3–13	-0.06	12%	1 Apr →
ancient	12–12	0.13	17%	15 Mar →
inferno	13–11	-0.01	22%	15 Mar →
overpass	13–7	0.08	21%	15 Mar →
vertigo	13–11	0.04	19%	15 Mar →
nuke	10–13	-0.06	12%	13 Feb →
ancient	11–13	-0.01	17%	8 Feb →
ancient	16–14	-0.00	19%	8 Feb →
anubis	9–13	-0.06	14%	4 Feb →
nuke	13–9	-0.03	17%	4 Feb →
alpine	8–13	0.04	14%	31 Jan →
warden	13–3	0.04	11%	31 Jan →
anubis	11–13	0.03	33%	30 Jan →
inferno	3–13	0.05	26%	26 Jan →
overpass	8–13	-0.03	33%	24 Jan →
nuke	13–4	-0.02	27%	24 Jan →
nuke	13–11	-0.04	28%	24 Jan →
golden	13–7	0.09	28%	17 Jan →
office	9–11	0.07	22%	11 Jan →
nuke	6–13	0.01	30%	11 Jan →
ancient	5–13	-0.05	23%	11 Jan →
anubis	6–13	-0.04	22%	11 Jan →
overpass	9–13	-0.04	12%	4 Dec →
vertigo	12–12	-0.06	14%	2 Dec →
ancient	11–13	-0.06	16%	2 Dec →
dust2	8–13	-0.04	30%	1 Dec →
overpass	8–13	0.02	22%	1 Dec →
inferno	12–12	-0.06	17%	24 Oct →
vertigo	10–13	-0.05	20%	24 Oct →
anubis	13–1	-0.01	18%	12 Oct →
dust2	13–8	0.11	24%	12 Oct →
nuke	13–3	-0.01	24%	10 Oct →
mirage	13–11	0.09	22%	10 Oct →
train	7–13	-0.07	27%	10 Oct →
inferno	2–13	0.02	21%	23 Sept →
inferno	12–12	-0.05	13%	17 Sept →
ancient	13–10	-0.03	35%	17 Sept →
ancient	2–3	0.00	20%	17 Sept →
vertigo	12–12	0.01	25%	8 Sept →
anubis	13–10	0.05	25%	2 Sept →
overpass	1–13	-0.11	7%	2 Sept →
inferno	10–13	-0.02	14%	2 Sept →
inferno	8–13	-0.07	27%	1 Sept →
vertigo	13–7	-0.01	17%	30 Aug →
nuke	13–9	-0.01	12%	30 Aug →
dust2	13–2	0.01	17%	30 Aug →
overpass	6–13	-0.01	15%	25 Aug →
inferno	13–8	-0.02	14%	25 Aug →
ancient	7–13	-0.09	27%	15 Aug →
mirage	13–10	-0.08	16%	10 Aug →
overpass	13–5	0.00	21%	5 Aug →
vertigo	13–6	-0.03	18%	5 Aug →
mirage	13–10	-0.05	32%	4 Aug →