fentanyahu — CS2 Stats

CA76561198116622451[U:1:156356723]Steam profile ↗✓ No bans

1,135Tracked matches45%Win rate2020Tracked since

2,134Hours in CS4Hrs last 2 wks

CSDB Rating5.0 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim76

Positioning50

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWTLLLWWLW

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.

Aim7.6

Aggression4.7

Utility5.0

Positioning5.0

Opening Duels0.8

Clutch3.0

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 NiKo 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 585ms 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

Aim7.6

Positioning5.0

Utility5.0

Mechanics7.1

Opening Duels1.1

Win Impact3.3

Composite 5.0/10 (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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time594ms−56ms

first ⅓ avg 649ms → last ⅓ avg 594ms

Headshot accuracy22.3%−2.6%

first ⅓ avg 24.9% → last ⅓ avg 22.3%

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

0.10Best rating — dust2 13–4

13–3Biggest win — anubis

7Longest win streak

12–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 60% over 10nukeWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	27	14–13	52%	-0.01
inferno	B	19	9–10	47%	-0.02
ancient	A	17	10–7	59%	-0.02
anubis	A	10	6–4	60%	-0.03
nuke	C	10	4–6	40%	0.00
dust2	C	7	3–4	43%	0.00
mirage	—	3	2–1	67%	-0.01
overpass	—	3	1–2	33%	-0.02
office	—	2	0–2	0%	-0.03
poseidon	—	1	0–1	0%	-0.10
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

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

Lifetime stats

68,018Lifetime kills

1.14K/D · Top 50% of tracked players

3,289Matches

44.7%Match win rate

47.9%Headshot % · Top 50% of tracked players

16.2%Shot accuracy · Top 25% of tracked players

7,706MVPs

1,462Hours (in match)

1,393Bombs planted

715Bombs defused

Most-used weapons

AK-4720,856

M4A4 / M4A1-S9,865

AWP8,518

Desert Eagle4,784

P2000 / USP-S3,940

SG 5532,959

Glock-182,678

SSG 081,604

MP91,257

MAC-101,135

Lifetime map wins

6,736inferno

2,748dust2

2,548nuke

1,502train

888vertigo

783cbble

426office

195italy

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

Faceit stats

Combat

515Matches

52%Win rate

1.15Avg K/D

76.7ADR

48%Headshot %

Clutches & streaks

35%1v1 clutch win

13%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	64	58%	1.08	15.4
Ancient	42	48%	0.93	16.6
Nuke	36	56%	1.04	14.8
Mirage	25	48%	1.24	17.7
Overpass	19	53%	0.97	14.2
Anubis	15	47%	0.89	14.3
Dust2	13	69%	1.32	16.5
Cache	8	62%	1.00	13.8

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.

22.5%Headshot accuracy

34.9%Accuracy (enemy spotted)

37.3%Spray accuracy

82.1%Counter-strafing

10.0°Preaim

585msReaction time

39.2%T opening success

27.0%CT opening success

0.36Enemies flashed / flash

4.8%Flash assists

7.27HE damage / grenade

13.39Flashes / 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 0.3629 — 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 39.1792% — 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.

40% win rate across 10 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
inferno	11–13	-0.06	13%	21 Aug →
ancient	13–11	-0.05	11%	21 Aug →
office	12–12	-0.04	25%	19 Aug →
office	9–13	-0.01	39%	17 Aug →
inferno	10–13	-0.02	26%	11 Aug →
anubis	3–13	-0.11	13%	11 Aug →
dust2	13–11	0.06	22%	11 Aug →
ancient	13–10	0.03	16%	7 Aug →
inferno	14–16	0.06	20%	6 Aug →
cache	13–5	-0.04	21%	6 Aug →
anubis	13–9	0.04	10%	4 Aug →
inferno	13–11	-0.04	23%	4 Aug →
cache	13–5	-0.04	32%	31 Jul →
inferno	13–7	0.04	30%	31 Jul →
ancient	4–13	0.01	23%	30 Jul →
anubis	13–9	-0.07	16%	30 Jul →
dust2	11–13	-0.04	18%	30 Jul →
ancient	11–13	-0.03	26%	29 Jul →
cache	13–7	0.05	29%	29 Jul →
nuke	4–13	0.01	24%	28 Jul →
inferno	10–13	0.03	33%	28 Jul →
inferno	5–13	0.01	24%	28 Jul →
ancient	16–14	0.05	19%	27 Jul →
inferno	3–13	-0.04	13%	27 Jul →
ancient	6–13	-0.04	23%	25 Jul →
nuke	13–8	0.02	23%	25 Jul →
anubis	9–13	-0.03	31%	25 Jul →
anubis	13–10	-0.06	41%	21 Jul →
anubis	16–19	-0.06	14%	20 Jul →
nuke	6–13	-0.08	21%	20 Jul →
nuke	12–16	-0.01	13%	19 Jul →
inferno	7–13	-0.02	20%	19 Jul →
ancient	13–8	0.00	23%	19 Jul →
inferno	13–11	-0.04	16%	18 Jul →
ancient	16–12	0.01	27%	18 Jul →
anubis	9–13	-0.01	11%	18 Jul →
ancient	3–13	-0.09	15%	17 Jul →
cache	11–13	-0.02	9%	17 Jul →
nuke	13–8	0.06	17%	16 Jul →
inferno	13–11	0.06	26%	16 Jul →
anubis	13–10	0.02	19%	16 Jul →
cache	4–13	-0.07	19%	14 Jul →
inferno	13–9	-0.06	7%	14 Jul →
ancient	22–18	-0.04	16%	14 Jul →
inferno	16–13	0.02	25%	12 Jul →
cache	6–13	-0.10	17%	12 Jul →
inferno	13–8	-0.03	13%	12 Jul →
mirage	13–4	-0.01	10%	12 Jul →
cache	16–13	-0.01	28%	9 Jul →
dust2	13–9	0.00	17%	9 Jul →
anubis	16–14	0.01	12%	7 Jul →
mirage	13–4	0.06	24%	7 Jul →
ancient	19–16	-0.02	20%	4 Jul →
inferno	4–13	-0.07	15%	4 Jul →
anubis	13–3	0.01	13%	4 Jul →
inferno	13–10	-0.04	14%	3 Jul →
cache	13–6	-0.00	17%	3 Jul →
nuke	9–13	0.02	23%	3 Jul →
dust2	15–15	-0.02	22%	1 Jul →
ancient	13–10	-0.02	20%	1 Jul →
nuke	12–16	-0.03	38%	1 Jul →
overpass	13–11	0.00	20%	1 Jul →
overpass	10–13	0.00	19%	30 Jun →
inferno	10–13	-0.04	13%	30 Jun →
mirage	11–13	-0.06	26%	30 Jun →
nuke	13–11	0.01	21%	30 Jun →
ancient	10–13	0.00	18%	28 Jun →
nuke	13–9	0.02	10%	28 Jun →
overpass	5–13	-0.06	18%	28 Jun →
ancient	13–9	-0.03	32%	28 Jun →
dust2	6–13	-0.08	20%	28 Jun →
ancient	1–13	-0.10	40%	28 Jun →
ancient	13–10	0.03	29%	28 Jun →
cache	6–13	0.04	26%	13 Jun →
cache	13–11	0.02	14%	12 Jun →
inferno	10–13	-0.06	21%	12 Jun →
cache	13–4	0.06	22%	8 Jun →
ancient	11–13	-0.04	12%	7 Jun →
inferno	13–11	-0.03	16%	7 Jun →
poseidon	4–9	-0.10	35%	7 Jun →
cache	13–10	0.05	29%	7 Jun →
cache	8–13	0.00	16%	7 Jun →
nuke	15–15	0.01	25%	6 Jun →
dust2	9–13	-0.02	20%	6 Jun →
cache	8–13	0.03	25%	30 May →
cache	6–13	-0.08	28%	30 May →
cache	3–5	-0.09	33%	30 May →
cache	13–7	-0.00	27%	24 May →
cache	4–13	-0.04	26%	21 May →
vertigo	8–13	0.02	30%	21 May →
cache	13–10	-0.07	22%	21 May →
cache	13–11	0.00	28%	21 May →
cache	13–10	0.02	28%	20 May →
cache	13–5	0.04	32%	20 May →
cache	7–13	0.06	41%	18 May →
cache	13–4	-0.01	36%	14 May →
cache	6–13	-0.02	24%	5 May →
dust2	13–4	0.10	12%	3 May →
cache	5–13	-0.01	16%	1 May →
cache	7–13	-0.06	29%	30 Apr →