✪ Skadoosh — CS2 Stats

US76561197960348462[U:1:82734]Steam profile ↗✓ No bans

5,200Tracked matches40%Win rate2020Tracked since

CSDB Rating4.6 DevelopingPassive Rifler

FaceitLevel 7 · 1,498 ELOTop 42.3% 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

Aim73

Positioning40

Utility59

0–100 skill scores via Leetify.

Recent form

COLD48–52Last 10048%Win rateLLLLLLLWWW

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

Player DNA

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

Aim7.3

Aggression3.2

Utility5.9

Positioning4.0

Opening Duels0.0

Clutch3.6

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 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 580ms 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

Aim7.3

Positioning4.0

Utility5.9

Mechanics6.5

Opening Duels0.4

Win Impact1.7

Composite 4.6/10 (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-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time576ms−51ms

first ⅓ avg 627ms → last ⅓ avg 576ms

Headshot accuracy13.4%−0.4%

first ⅓ avg 13.8% → last ⅓ avg 13.4%

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

0.08Best rating — inferno 13–7

13–2Biggest win — nuke

4Longest win streak

L7Current streak

13–10In matches decided by ≤2 rounds

15Overtime games

Map breakdown

infernoBest map · 75% over 16dust2Weakest map · 38% over 29

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	29	11–18	38%	-0.03
ancient	A	19	11–8	58%	-0.01
nuke	C	17	7–10	41%	-0.00
inferno	S	16	12–4	75%	-0.01
mirage	C	12	5–7	42%	-0.02
cache	—	4	2–2	50%	-0.03
anubis	—	2	0–2	0%	0.00
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,478Matches

49%Win rate

0.94Avg K/D

72.8ADR

38%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	723	56%	0.90	14.4
Ancient	561	48%	0.88	14.1
Dust2	525	48%	0.89	13.8
Mirage	342	48%	0.89	14.2
Nuke	340	48%	0.88	14.1
Anubis	146	31%	0.82	13.3
Overpass	76	47%	0.87	14.4
Vertigo	44	36%	0.98	15.1

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.

13.1%Headshot accuracy

37.0%Accuracy (enemy spotted)

39.1%Spray accuracy

79.3%Counter-strafing

8.3°Preaim

580msReaction time

26.5%T opening success

32.9%CT opening success

0.57Enemies flashed / flash

3.8%Flash assists

8.52HE damage / grenade

10.61Flashes / 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 13.1373% — below the 15% mark we flag
Aim Training →
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 26.4614% — below the 40% mark we flag

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.

38% win rate across 29 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
nuke	5–13	-0.09	3%	28 Aug →
dust2	4–13	-0.04	19%	27 Aug →
nuke	3–13	-0.05	14%	26 Aug →
nuke	11–13	-0.07	11%	26 Aug →
inferno	4–13	-0.08	13%	25 Aug →
ancient	9–13	-0.02	10%	25 Aug →
ancient	14–16	-0.03	13%	24 Aug →
dust2	13–6	0.03	16%	23 Aug →
ancient	13–6	0.05	10%	21 Aug →
inferno	13–7	-0.03	19%	19 Aug →
mirage	11–13	-0.06	8%	18 Aug →
dust2	2–13	-0.07	15%	18 Aug →
nuke	14–16	0.01	8%	17 Aug →
ancient	6–13	-0.01	13%	17 Aug →
inferno	11–13	0.01	23%	17 Aug →
ancient	13–6	-0.02	12%	15 Aug →
ancient	13–6	0.01	10%	15 Aug →
cache	13–10	-0.02	12%	12 Aug →
nuke	8–13	-0.06	7%	12 Aug →
ancient	13–10	0.01	14%	12 Aug →
inferno	13–8	-0.06	15%	9 Aug →
cache	9–13	-0.02	16%	9 Aug →
dust2	6–13	-0.07	12%	9 Aug →
vertigo	11–13	-0.01	7%	8 Aug →
dust2	13–8	-0.00	18%	8 Aug →
mirage	7–13	-0.04	15%	7 Aug →
nuke	13–2	0.04	21%	7 Aug →
inferno	13–6	-0.00	24%	7 Aug →
inferno	13–10	0.00	17%	7 Aug →
dust2	14–16	-0.02	7%	7 Aug →
dust2	4–13	-0.10	10%	4 Aug →
ancient	12–16	-0.04	9%	3 Aug →
dust2	7–13	-0.06	21%	3 Aug →
cache	16–12	0.03	18%	3 Aug →
ancient	13–8	0.06	16%	3 Aug →
inferno	13–10	0.02	16%	3 Aug →
inferno	10–13	-0.02	13%	2 Aug →
dust2	16–14	-0.01	16%	1 Aug →
nuke	7–13	-0.00	10%	31 Jul →
inferno	16–14	0.02	10%	31 Jul →
nuke	9–13	-0.03	14%	31 Jul →
nuke	9–13	0.00	11%	30 Jul →
dust2	8–13	-0.05	16%	28 Jul →
dust2	16–13	0.03	8%	28 Jul →
dust2	13–10	-0.03	9%	27 Jul →
nuke	13–9	0.06	4%	25 Jul →
ancient	2–13	-0.09	8%	25 Jul →
inferno	13–16	-0.04	10%	25 Jul →
ancient	13–6	0.01	15%	24 Jul →
ancient	11–13	-0.01	13%	24 Jul →
mirage	13–11	-0.00	16%	24 Jul →
ancient	13–10	-0.10	14%	24 Jul →
ancient	8–13	-0.03	6%	24 Jul →
dust2	10–13	-0.04	14%	23 Jul →
mirage	6–13	-0.05	10%	21 Jul →
inferno	13–6	0.02	10%	21 Jul →
dust2	13–11	0.02	22%	20 Jul →
ancient	13–11	-0.05	6%	20 Jul →
nuke	19–16	-0.01	12%	17 Jul →
dust2	6–13	-0.08	10%	17 Jul →
dust2	4–13	-0.10	21%	17 Jul →
cache	6–13	-0.09	11%	17 Jul →
ancient	7–13	-0.04	20%	17 Jul →
inferno	13–7	0.08	12%	16 Jul →
mirage	9–13	-0.03	19%	13 Jul →
mirage	13–10	-0.01	9%	13 Jul →
dust2	14–16	-0.07	8%	13 Jul →
dust2	13–10	0.00	21%	12 Jul →
mirage	13–5	0.01	13%	12 Jul →
mirage	19–17	0.01	14%	11 Jul →
dust2	2–13	-0.09	13%	10 Jul →
dust2	13–5	-0.01	10%	10 Jul →
nuke	22–20	-0.01	13%	8 Jul →
dust2	13–7	0.01	18%	7 Jul →
inferno	13–5	-0.08	16%	7 Jul →
dust2	8–13	0.02	15%	6 Jul →
nuke	11–13	-0.05	8%	6 Jul →
mirage	10–13	-0.03	8%	6 Jul →
nuke	13–10	0.07	15%	6 Jul →
inferno	13–7	0.05	10%	4 Jul →
mirage	5–13	0.04	13%	3 Jul →
inferno	13–11	-0.03	20%	3 Jul →
ancient	13–11	-0.04	13%	3 Jul →
nuke	19–17	0.04	15%	1 Jul →
dust2	10–13	-0.07	13%	30 Jun →
dust2	13–9	0.04	16%	30 Jun →
mirage	13–8	-0.07	22%	30 Jun →
dust2	10–13	0.01	16%	29 Jun →
dust2	10–13	-0.06	12%	27 Jun →
dust2	13–11	-0.09	25%	26 Jun →
dust2	10–13	-0.09	12%	26 Jun →
ancient	13–3	0.01	19%	25 Jun →
mirage	9–13	-0.00	12%	25 Jun →
ancient	16–12	0.05	5%	25 Jun →
inferno	13–11	-0.05	4%	24 Jun →
nuke	9–13	0.05	15%	12 Jun →
dust2	10–13	0.06	12%	12 Jun →
nuke	13–11	0.07	16%	12 Jun →
anubis	3–13	0.01	13%	11 Jun →
anubis	4–13	-0.01	11%	9 Jun →