Nekrophilip — CS2 Stats

76561198986374626[U:1:1026108898]Steam profile ↗✓ No bans

909Tracked matches55%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

FaceitLevel 10 · 1,831 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning52

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWLWWWWLLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.4

Aggression9.5

Utility5.2

Positioning5.2

Opening Duels4.6

Clutch3.2

Sharp aimerExcellent counter-strafingLimited utility dependence

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 sh1ro 93% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 42 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.

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

Aim9.4

Positioning5.2

Utility5.2

Mechanics8.7

Opening Duels4.6

Win Impact6.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.04

first ⅓ avg 0.06 → last ⅓ avg 0.02

Reaction time515ms−10ms

first ⅓ avg 525ms → last ⅓ avg 515ms

Headshot accuracy38.1%+8.1%

first ⅓ avg 30.0% → last ⅓ avg 38.1%

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

0.22Best rating — cache 13–2

13–2Biggest win — cache

5Longest win streak

6–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	19–14	58%	0.04
cache	S	24	16–8	67%	0.06
vertigo	B	13	7–6	54%	0.07
dust2	C	11	4–7	36%	0.01
anubis	S	5	4–1	80%	0.05
inferno	—	4	1–3	25%	0.03
ancient	—	4	1–3	25%	0.02
train	—	3	3–0	100%	0.06
nuke	—	2	2–0	100%	0.03
overpass	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

393Matches

57%Win rate

1.17Avg K/D

90.1ADR

52%Headshot %

Clutches & streaks

36%1v1 clutch win

20%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	44	57%	1.11	17.1
Dust2	22	41%	1.13	18.1
Ancient	20	75%	1.29	20.0
Anubis	17	41%	1.11	18.1
Nuke	11	64%	1.65	22.6
Inferno	7	86%	1.70	17.0
Overpass	5	80%	1.22	18.4
Cache	4	25%	1.18	20.8

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.

36.6%Headshot accuracy

33.9%Accuracy (enemy spotted)

32.6%Spray accuracy

89.2%Counter-strafing

8.0°Preaim

524msReaction time

42.2%T opening success

54.9%CT opening success

0.61Enemies flashed / flash

6.6%Flash assists

10.77HE damage / grenade

3.57Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5719 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	-0.03	36%	28 Aug →
anubis	13–4	0.02	36%	28 Aug →
inferno	8–13	0.03	45%	8 Aug →
cache	13–9	0.02	32%	3 Aug →
mirage	13–4	0.02	40%	3 Aug →
cache	13–10	0.04	47%	27 Jul →
mirage	13–8	0.01	35%	25 Jul →
dust2	4–13	-0.08	25%	20 Jul →
mirage	4–13	0.05	46%	11 Jul →
dust2	14–16	-0.02	32%	11 Jul →
mirage	13–6	0.07	37%	11 Jul →
dust2	13–9	0.04	31%	11 Jul →
ancient	11–13	-0.01	29%	8 Jul →
cache	2–0	-0.03	100%	7 Jul →
nuke	13–6	0.01	35%	6 Jul →
ancient	7–13	-0.02	36%	3 Jul →
dust2	13–11	0.03	51%	3 Jul →
mirage	6–13	-0.02	22%	3 Jul →
mirage	5–13	0.00	21%	3 Jul →
mirage	3–13	-0.05	32%	3 Jul →
mirage	13–6	0.04	39%	2 Jul →
mirage	13–7	0.04	38%	2 Jul →
dust2	10–13	-0.04	29%	30 Jun →
inferno	5–13	0.01	37%	29 Jun →
mirage	13–10	0.06	47%	29 Jun →
vertigo	12–12	0.12	41%	26 Jun →
cache	13–10	0.04	31%	25 Jun →
inferno	13–9	0.07	38%	25 Jun →
ancient	11–13	0.06	43%	24 Jun →
nuke	13–6	0.05	38%	24 Jun →
ancient	13–5	0.05	39%	24 Jun →
cache	5–13	0.02	44%	22 Jun →
train	13–11	0.05	26%	22 Jun →
mirage	13–8	-0.06	32%	22 Jun →
cache	9–13	0.06	40%	21 Jun →
anubis	13–5	0.06	31%	21 Jun →
train	16–14	0.09	32%	16 Jun →
mirage	7–13	0.01	32%	16 Jun →
mirage	13–10	0.04	34%	16 Jun →
mirage	9–13	0.00	26%	15 Jun →
cache	13–6	0.17	38%	15 Jun →
cache	5–13	0.04	28%	15 Jun →
cache	13–2	0.10	36%	12 Jun →
mirage	13–5	0.07	30%	12 Jun →
mirage	11–13	0.05	26%	12 Jun →
anubis	22–19	0.03	34%	12 Jun →
mirage	13–11	0.04	31%	12 Jun →
mirage	13–10	0.03	28%	12 Jun →
vertigo	7–13	-0.06	38%	11 Jun →
vertigo	8–13	0.05	52%	10 Jun →
train	16–13	0.02	35%	10 Jun →
mirage	13–3	0.15	46%	10 Jun →
cache	9–13	0.05	30%	29 May →
vertigo	13–8	0.13	38%	27 May →
cache	13–10	0.03	35%	27 May →
cache	13–2	0.22	45%	27 May →
mirage	13–8	0.17	31%	23 May →
inferno	7–13	0.04	37%	23 May →
cache	0–10	-0.06	44%	20 May →
dust2	16–14	0.08	39%	20 May →
cache	13–5	0.05	43%	20 May →
vertigo	13–9	0.05	34%	20 May →
mirage	14–16	0.10	28%	19 May →
cache	13–10	0.15	41%	19 May →
dust2	14–16	0.08	22%	15 May →
dust2	12–16	0.05	33%	15 May →
mirage	1–13	-0.07	33%	13 May →
vertigo	8–13	0.09	23%	10 May →
cache	13–9	0.13	41%	10 May →
dust2	3–13	0.01	40%	9 May →
mirage	13–5	0.14	28%	8 May →
cache	10–13	0.05	31%	8 May →
cache	13–6	0.01	22%	8 May →
cache	10–13	0.03	26%	8 May →
mirage	29–31	0.11	38%	7 May →
mirage	13–5	0.10	26%	7 May →
mirage	10–13	-0.02	20%	6 May →
mirage	13–8	0.06	33%	6 May →
anubis	13–8	0.10	29%	5 May →
vertigo	13–7	0.07	26%	5 May →
mirage	13–6	0.13	30%	5 May →
cache	13–8	0.02	29%	5 May →
vertigo	14–16	0.03	22%	5 May →
vertigo	13–4	0.22	31%	3 May →
cache	13–6	0.09	30%	3 May →
anubis	8–13	0.04	29%	2 May →
vertigo	13–6	0.09	34%	2 May →
mirage	6–13	0.05	33%	2 May →
cache	16–12	0.17	30%	2 May →
cache	13–6	0.02	51%	2 May →
mirage	13–6	0.06	35%	2 May →
overpass	4–13	0.08	30%	27 Apr →
vertigo	8–13	0.04	28%	26 Apr →
vertigo	13–8	0.09	29%	26 Apr →
mirage	2–13	-0.07	14%	26 Apr →
dust2	13–2	0.03	15%	26 Apr →
mirage	13–6	0.03	33%	26 Apr →
vertigo	13–4	0.04	29%	26 Apr →
dust2	3–13	-0.01	36%	26 Apr →
mirage	6–13	0.02	38%	24 Apr →