sliN Shady — CS2 Stats

DE76561198864890538[U:1:904624810]Steam profile ↗

5,045Tracked matches40%Win rate2020Tracked since

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating29,134Top 5% of 819 CSDB-tracked playersRed band · top ~1% of ranked players (population est.)

CSDB Leaderboard#149 of 14382 tracked

FaceitLevel 10 · 2,505 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim96

Positioning62

Utility81

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLWWLWLWLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim9.6

Aggression6.9

Utility8.1

Positioning6.2

Opening Duels2.8

Clutch3.8

Sharp aimerExcellent counter-strafingStrong CT-side openerHigh utility contribution

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 Twistzz 95% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 29% 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

Aim9.6

Positioning6.2

Utility8.1

Mechanics8.8

Opening Duels3.0

Win Impact1.7

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time529ms−60ms

first ⅓ avg 589ms → last ⅓ avg 529ms

Headshot accuracy26.5%−6.0%

first ⅓ avg 32.5% → last ⅓ avg 26.5%

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 — inferno 13–10

13–3Biggest win — inferno

7Longest win streak

10–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 68% over 25anubisWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	34	18–16	53%	0.03
ancient	S	25	17–8	68%	0.03
anubis	D	15	3–12	20%	0.01
cache	C	11	4–7	36%	0.04
nuke	C	7	3–4	43%	0.02
dust2	C	5	2–3	40%	-0.00
mirage	—	3	2–1	67%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,557Matches

51%Win rate

1.35Avg K/D

98.9ADR

57%Headshot %

Clutches & streaks

39%1v1 clutch win

29%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	616	58%	1.51	20.9
Ancient	607	53%	1.46	21.6
Anubis	263	44%	1.37	20.3
Overpass	104	48%	1.59	20.7
Train	102	45%	1.48	21.4
Nuke	86	34%	1.32	19.2
Vertigo	64	39%	1.32	19.6
Mirage	49	20%	1.06	17.6

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.

25.7%Headshot accuracy

41.1%Accuracy (enemy spotted)

45.7%Spray accuracy

89.5%Counter-strafing

8.1°Preaim

519msReaction time

28.7%T opening success

53.9%CT opening success

0.67Enemies flashed / flash

14.5%Flash assists

15.41HE damage / grenade

17.11Flashes / 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
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 28.7435% — below the 40% mark we flag

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.

20% win rate across 15 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
inferno	9–13	0.04	21%	28 Aug →
inferno	13–7	0.05	19%	28 Aug →
ancient	13–6	0.11	33%	26 Aug →
inferno	11–13	0.00	22%	26 Aug →
inferno	19–16	0.05	16%	26 Aug →
ancient	8–13	-0.04	21%	24 Aug →
inferno	13–11	0.06	27%	24 Aug →
inferno	6–13	-0.02	27%	24 Aug →
inferno	13–7	0.06	26%	24 Aug →
anubis	4–13	0.01	34%	24 Aug →
inferno	8–13	-0.02	20%	22 Aug →
ancient	13–10	0.01	24%	22 Aug →
ancient	11–13	0.07	40%	21 Aug →
inferno	13–5	0.07	29%	21 Aug →
ancient	8–13	0.02	24%	21 Aug →
anubis	13–16	-0.04	20%	19 Aug →
ancient	13–5	0.05	36%	19 Aug →
anubis	5–13	-0.00	36%	19 Aug →
cache	2–13	-0.05	25%	19 Aug →
ancient	13–11	0.09	26%	19 Aug →
inferno	9–13	-0.03	22%	18 Aug →
anubis	6–13	-0.05	23%	17 Aug →
ancient	13–10	0.06	21%	17 Aug →
anubis	13–7	0.06	14%	17 Aug →
ancient	13–8	0.05	38%	17 Aug →
nuke	11–13	0.02	27%	16 Aug →
anubis	5–13	0.02	36%	15 Aug →
inferno	5–13	-0.00	25%	15 Aug →
anubis	10–13	0.02	23%	15 Aug →
inferno	14–16	-0.01	30%	15 Aug →
ancient	13–5	0.12	27%	14 Aug →
inferno	13–7	0.01	39%	14 Aug →
anubis	8–13	-0.09	25%	14 Aug →
cache	6–13	0.06	28%	14 Aug →
cache	7–13	0.07	24%	14 Aug →
anubis	13–5	0.03	25%	14 Aug →
ancient	0–13	-0.07	22%	14 Aug →
ancient	8–13	0.01	40%	13 Aug →
mirage	11–13	-0.04	35%	13 Aug →
anubis	7–13	0.04	37%	13 Aug →
inferno	13–7	0.03	43%	13 Aug →
inferno	5–13	0.03	47%	13 Aug →
inferno	13–11	0.02	24%	13 Aug →
nuke	6–13	-0.01	37%	12 Aug →
dust2	13–7	0.02	34%	12 Aug →
ancient	13–7	0.01	18%	12 Aug →
cache	13–6	0.12	35%	11 Aug →
ancient	13–11	0.13	41%	11 Aug →
ancient	13–7	0.02	30%	11 Aug →
inferno	13–9	0.08	33%	10 Aug →
dust2	13–4	0.02	40%	10 Aug →
dust2	14–16	-0.01	31%	10 Aug →
cache	9–13	0.02	51%	9 Aug →
inferno	10–13	0.00	29%	9 Aug →
cache	11–13	-0.01	34%	9 Aug →
cache	8–13	-0.04	31%	9 Aug →
inferno	13–5	0.09	28%	9 Aug →
inferno	13–10	0.15	40%	9 Aug →
mirage	16–13	0.11	43%	9 Aug →
ancient	13–11	0.03	38%	9 Aug →
ancient	5–13	0.04	26%	8 Aug →
inferno	13–11	0.12	40%	8 Aug →
nuke	8–13	-0.01	37%	8 Aug →
inferno	13–16	0.01	25%	8 Aug →
inferno	16–12	0.07	44%	8 Aug →
inferno	14–16	-0.02	30%	8 Aug →
ancient	7–13	-0.02	26%	8 Aug →
cache	9–13	0.03	45%	7 Aug →
cache	13–9	0.08	37%	7 Aug →
inferno	10–13	-0.02	29%	7 Aug →
anubis	7–13	-0.00	38%	7 Aug →
dust2	10–13	0.00	33%	6 Aug →
ancient	13–4	0.02	30%	6 Aug →
inferno	13–6	0.11	35%	6 Aug →
ancient	13–11	-0.03	13%	6 Aug →
ancient	13–9	0.09	33%	6 Aug →
inferno	13–3	0.04	43%	6 Aug →
ancient	6–13	-0.01	24%	6 Aug →
cache	13–8	0.05	45%	6 Aug →
inferno	10–13	-0.01	21%	6 Aug →
ancient	13–11	-0.02	24%	6 Aug →
inferno	1–9	-0.03	57%	6 Aug →
nuke	8–13	-0.01	32%	5 Aug →
ancient	13–9	-0.04	30%	5 Aug →
nuke	13–8	-0.02	36%	5 Aug →
inferno	13–11	-0.04	28%	5 Aug →
dust2	14–16	-0.04	36%	5 Aug →
anubis	5–13	-0.03	26%	5 Aug →
cache	13–11	0.06	36%	5 Aug →
mirage	13–5	0.04	33%	5 Aug →
anubis	8–13	0.05	31%	5 Aug →
nuke	13–3	0.08	37%	5 Aug →
anubis	11–13	0.02	32%	5 Aug →
ancient	13–5	0.01	34%	4 Aug →
inferno	16–13	0.07	36%	4 Aug →
inferno	13–9	-0.02	39%	4 Aug →
inferno	6–13	0.04	26%	4 Aug →
inferno	15–15	0.00	25%	4 Aug →
nuke	13–9	0.08	27%	3 Aug →
anubis	13–10	0.07	24%	3 Aug →