sk0ttskärraN — CS2 Stats

76561198060955310[U:1:100689582]Steam profile ↗✓ No bans

2,203Tracked matches50%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating26,462Top 10% of 29,473 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#2457 of 39339 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning50

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateLWLWLWLWLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.8

Aggression6.8

Utility5.2

Positioning5.0

Opening Duels2.1

Clutch4.2

Sharp aimerStrong CT-side opener

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 ropz 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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.

T-side openings. Opening success drops from 49% on CT to 28% 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

Aim8.8

Positioning5.0

Utility5.2

Mechanics5.1

Opening Duels2.3

Win Impact5.0

Composite 6.2/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time452ms−51ms

first ⅓ avg 504ms → last ⅓ avg 452ms

Headshot accuracy20.6%+0.6%

first ⅓ avg 20.0% → last ⅓ avg 20.6%

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 — ancient 13–1

13–1Biggest win — ancient

6Longest win streak

7–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	22	13–9	59%	0.02
cache	A	22	13–9	59%	0.02
mirage	A	18	10–8	56%	0.02
anubis	A	16	10–6	63%	0.01
nuke	S	6	4–2	67%	0.01
dust2	C	5	2–3	40%	0.00
inferno	—	4	1–3	25%	-0.00
overpass	—	3	2–1	67%	0.04
vertigo	—	2	2–0	100%	0.05
train	—	1	1–0	100%	0.03
office	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,614Matches

52%Win rate

1.06Avg K/D

80.7ADR

46%Headshot %

Clutches & streaks

41%1v1 clutch win

20%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	189	56%	1.15	16.4
Mirage	157	43%	1.02	16.2
Anubis	152	61%	1.05	15.4
Dust2	70	54%	1.06	15.7
Inferno	57	49%	1.10	15.9
Nuke	48	67%	1.13	17.3
Overpass	46	54%	1.17	16.0
Train	20	60%	1.12	17.8

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.

20.2%Headshot accuracy

40.5%Accuracy (enemy spotted)

41.5%Spray accuracy

72.7%Counter-strafing

9.6°Preaim

441msReaction time

28.0%T opening success

48.7%CT opening success

0.54Enemies flashed / flash

10.6%Flash assists

9.64HE damage / grenade

6.90Flashes / 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 27.9633% — 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.

40% win rate across 5 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
anubis	12–16	-0.04	18%	18 Aug →
anubis	16–13	0.05	15%	17 Aug →
mirage	5–13	-0.02	32%	17 Aug →
vertigo	13–11	0.00	21%	17 Aug →
mirage	7–13	0.09	31%	17 Aug →
anubis	13–3	0.01	21%	17 Aug →
mirage	17–19	0.01	14%	16 Aug →
mirage	13–5	0.06	24%	16 Aug →
ancient	4–13	-0.05	23%	16 Aug →
anubis	9–13	0.01	18%	16 Aug →
ancient	13–1	0.22	27%	16 Aug →
nuke	16–13	-0.04	23%	16 Aug →
train	13–6	0.03	23%	14 Aug →
overpass	11–13	0.03	15%	14 Aug →
anubis	6–13	-0.03	17%	13 Aug →
mirage	13–6	0.02	27%	13 Aug →
ancient	13–5	0.05	11%	13 Aug →
cache	13–8	0.02	35%	13 Aug →
mirage	13–16	0.00	21%	13 Aug →
cache	0–13	-0.07	17%	12 Aug →
anubis	13–3	0.03	25%	12 Aug →
anubis	22–18	0.03	18%	12 Aug →
dust2	9–13	-0.05	18%	12 Aug →
nuke	0–13	-0.07	7%	12 Aug →
mirage	13–4	-0.04	29%	12 Aug →
nuke	7–13	-0.00	15%	12 Aug →
anubis	7–13	-0.05	10%	11 Aug →
ancient	16–14	0.09	20%	11 Aug →
anubis	4–13	-0.03	22%	11 Aug →
cache	13–5	-0.12	15%	10 Aug →
nuke	13–7	0.02	18%	10 Aug →
mirage	13–9	0.08	18%	10 Aug →
ancient	13–3	0.02	30%	9 Aug →
cache	11–13	0.06	13%	9 Aug →
ancient	13–5	0.07	14%	9 Aug →
anubis	13–4	0.08	15%	9 Aug →
ancient	10–13	-0.02	16%	6 Aug →
vertigo	9–3	0.09	16%	6 Aug →
cache	13–11	-0.04	13%	6 Aug →
cache	13–7	0.01	30%	4 Aug →
ancient	13–5	-0.00	29%	4 Aug →
ancient	13–8	-0.01	20%	3 Aug →
dust2	13–9	0.09	33%	2 Aug →
ancient	4–13	-0.04	23%	2 Aug →
ancient	13–3	0.11	18%	2 Aug →
cache	9–13	0.01	18%	2 Aug →
dust2	10–13	0.02	27%	1 Aug →
cache	13–3	-0.01	24%	1 Aug →
anubis	13–11	0.02	18%	1 Aug →
cache	14–16	-0.02	24%	30 Jul →
ancient	3–13	0.02	21%	30 Jul →
ancient	9–13	-0.05	12%	30 Jul →
cache	13–10	0.10	24%	30 Jul →
inferno	3–13	-0.02	16%	28 Jul →
ancient	6–13	0.05	17%	28 Jul →
anubis	2–13	-0.03	24%	28 Jul →
ancient	9–13	-0.00	21%	7 Jul →
cache	10–13	0.04	10%	7 Jul →
nuke	13–10	0.13	25%	7 Jul →
mirage	13–8	0.01	19%	7 Jul →
anubis	13–10	0.07	28%	7 Jul →
cache	13–4	0.09	13%	7 Jul →
inferno	7–13	0.09	16%	7 Jul →
cache	2–11	-0.03	16%	7 Jul →
mirage	13–9	0.01	12%	7 Jul →
ancient	13–8	0.09	29%	7 Jul →
anubis	13–8	-0.00	18%	29 Jun →
ancient	13–3	-0.07	25%	24 Jun →
inferno	2–13	-0.08	20%	24 Jun →
mirage	5–13	-0.06	23%	24 Jun →
mirage	13–11	0.05	19%	15 Jun →
ancient	5–13	0.03	28%	22 May →
inferno	13–9	-0.02	21%	19 May →
ancient	13–11	0.01	19%	15 May →
mirage	5–13	0.11	29%	14 May →
cache	13–10	0.01	17%	14 May →
mirage	13–4	-0.04	25%	14 May →
ancient	10–13	-0.09	20%	14 May →
mirage	10–13	-0.08	23%	14 May →
mirage	13–3	0.08	21%	12 May →
dust2	9–13	-0.07	12%	11 May →
overpass	13–1	0.04	17%	11 May →
cache	13–10	0.20	24%	9 May →
mirage	16–13	0.03	10%	8 May →
office	13–10	0.08	23%	6 May →
cache	13–7	0.04	16%	6 May →
cache	13–6	0.04	19%	6 May →
cache	11–13	0.02	17%	6 May →
cache	13–11	0.04	23%	6 May →
cache	9–13	0.05	26%	6 May →
cache	13–6	-0.05	12%	5 May →
cache	12–12	0.05	20%	5 May →
ancient	13–8	0.04	18%	4 Apr →
nuke	13–3	0.01	20%	4 Apr →
anubis	13–4	-0.03	23%	4 Apr →
ancient	13–4	0.05	15%	3 Apr →
anubis	13–10	0.03	18%	3 Apr →
overpass	13–6	0.06	18%	2 Apr →
mirage	4–13	-0.05	15%	31 Mar →
dust2	13–5	0.02	23%	31 Mar →