Sharkie — CS2 Stats

AU76561198990233735[U:1:1029968007]Steam profile ↗

97Tracked matches33%Win rate2025Tracked since

CSDB Rating4.7 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim69

Positioning46

Utility15

0–100 skill scores via Leetify.

Recent form

COLD34–54–9Last 9735%Win rateLWLWLTLLWL

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

Player DNA

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

Aim6.9

Aggression3.1

Utility1.5

Positioning4.6

Opening Duels0.4

Excellent 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 NiKo 72% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 714ms 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

Aim6.9

Positioning4.6

Utility1.5

Mechanics9.0

Opening Duels1.0

Win Impact0.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time698ms−37ms

first ⅓ avg 735ms → last ⅓ avg 698ms

Headshot accuracy18.3%+4.9%

first ⅓ avg 13.5% → last ⅓ avg 18.3%

Rolling 5-match average across the last 97 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.08Best rating — dust2 13–5

13–0Biggest win — cache

5Longest win streak

2–6In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 60% over 5nukeWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	26	6–20	23%	-0.00
inferno	B	19	9–10	47%	-0.03
mirage	C	13	5–8	38%	-0.01
cache	D	9	3–6	33%	-0.01
nuke	D	7	1–6	14%	-0.02
anubis	B	6	3–3	50%	-0.02
ancient	A	5	3–2	60%	-0.02
overpass	D	5	1–4	20%	-0.03
vertigo	—	3	2–1	67%	-0.03
train	—	2	1–1	50%	0.00
italy	—	1	0–1	0%	0.03
office	—	1	0–1	0%	-0.02

Across the last 97 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.7%Headshot accuracy

35.1%Accuracy (enemy spotted)

35.2%Spray accuracy

90.7%Counter-strafing

8.6°Preaim

714msReaction time

25.0%T opening success

38.3%CT opening success

0.51Enemies flashed / flash

0.9%Flash assists

1.20HE damage / grenade

1.78Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 713.844ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.7837 — below the 4 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 24.9703% — 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.

14% win rate across 7 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
italy	8–13	0.03	19%	11 Aug →
dust2	13–7	-0.07	31%	11 Aug →
dust2	8–13	-0.06	22%	11 Aug →
dust2	4–0	0.03	43%	11 Aug →
cache	1–13	-0.06	21%	11 Aug →
mirage	12–12	-0.02	19%	11 Aug →
cache	10–13	0.05	22%	3 Aug →
inferno	8–13	-0.02	14%	3 Aug →
cache	13–2	0.08	16%	30 Jul →
mirage	10–13	-0.03	19%	30 Jul →
mirage	13–6	-0.06	17%	28 Jul →
dust2	5–13	0.04	20%	28 Jul →
dust2	11–13	0.03	19%	25 Jul →
cache	4–13	-0.03	26%	25 Jul →
dust2	6–13	0.02	28%	24 Jul →
anubis	10–13	-0.01	15%	24 Jul →
cache	13–10	-0.02	12%	24 Jul →
nuke	12–12	-0.00	23%	24 Jul →
cache	1–13	-0.04	12%	16 Jun →
cache	7–13	-0.02	9%	16 Jun →
cache	13–0	-0.03	10%	21 May →
mirage	13–8	-0.02	17%	12 May →
cache	12–12	0.01	21%	12 May →
inferno	11–13	0.01	15%	28 Apr →
dust2	8–13	-0.01	26%	27 Apr →
dust2	9–13	-0.08	8%	27 Apr →
train	13–4	-0.00	6%	27 Apr →
inferno	13–6	0.01	11%	27 Apr →
dust2	4–13	-0.01	11%	27 Apr →
inferno	2–13	-0.06	13%	27 Apr →
ancient	13–10	-0.02	18%	27 Apr →
inferno	13–5	0.05	24%	20 Apr →
vertigo	13–1	-0.04	18%	20 Apr →
dust2	5–13	-0.03	18%	20 Apr →
dust2	12–12	0.03	18%	20 Apr →
dust2	13–10	0.03	17%	20 Apr →
anubis	13–5	-0.02	22%	6 Apr →
dust2	8–13	-0.08	17%	6 Apr →
anubis	13–9	-0.07	13%	6 Apr →
overpass	11–13	-0.00	12%	6 Apr →
inferno	10–13	-0.06	18%	6 Apr →
dust2	3–13	0.04	16%	6 Apr →
anubis	8–13	-0.03	11%	6 Apr →
nuke	9–13	0.00	13%	31 Mar →
dust2	6–13	-0.00	28%	31 Mar →
dust2	10–13	0.04	14%	31 Mar →
dust2	13–1	0.05	22%	31 Mar →
inferno	13–5	-0.04	13%	31 Mar →
mirage	13–11	-0.02	16%	31 Mar →
inferno	13–5	-0.09	9%	28 Mar →
nuke	8–13	-0.06	21%	28 Mar →
mirage	13–3	0.04	18%	28 Mar →
nuke	13–3	0.03	19%	28 Mar →
anubis	13–11	0.03	12%	28 Mar →
vertigo	13–4	0.06	18%	28 Mar →
dust2	13–5	0.08	25%	28 Mar →
nuke	3–13	-0.09	6%	27 Mar →
mirage	13–5	0.03	27%	27 Mar →
inferno	1–13	-0.07	11%	27 Mar →
inferno	0–13	-0.07	5%	26 Mar →
overpass	6–13	-0.08	21%	26 Mar →
dust2	12–12	0.05	11%	26 Mar →
mirage	12–12	0.04	12%	26 Mar →
anubis	11–13	-0.01	13%	26 Mar →
ancient	9–13	0.01	11%	26 Mar →
overpass	13–10	0.03	12%	26 Mar →
nuke	12–12	0.02	15%	26 Mar →
ancient	13–10	0.04	14%	26 Mar →
inferno	13–8	-0.03	13%	26 Mar →
dust2	8–13	-0.09	19%	26 Mar →
inferno	13–8	0.02	10%	26 Mar →
mirage	8–13	0.03	13%	18 Mar →
inferno	10–13	-0.00	9%	18 Mar →
inferno	13–4	0.01	8%	18 Mar →
inferno	9–13	-0.01	19%	18 Mar →
mirage	7–13	0.03	16%	16 Mar →
nuke	3–13	-0.08	10%	16 Mar →
ancient	13–10	-0.06	10%	12 Mar →
office	12–12	-0.02	7%	12 Mar →
dust2	10–13	0.07	14%	12 Mar →
inferno	3–13	-0.03	4%	11 Mar →
inferno	0–13	-0.06	7%	11 Mar →
mirage	6–13	-0.06	20%	8 Mar →
dust2	5–13	-0.09	13%	8 Mar →
ancient	11–13	-0.07	6%	8 Mar →
mirage	8–13	-0.03	8%	8 Mar →
mirage	3–13	-0.08	6%	8 Mar →
dust2	11–13	-0.03	16%	8 Mar →
inferno	13–4	-0.02	10%	8 Mar →
inferno	13–10	-0.06	18%	8 Mar →
overpass	12–12	-0.01	16%	8 Mar →
dust2	0–13	-0.08	12%	8 Mar →
dust2	13–8	0.05	21%	8 Mar →
dust2	10–13	-0.05	21%	17 Sept →
vertigo	3–13	-0.12	10%	17 Sept →
overpass	7–13	-0.10	39%	16 Sept →
train	9–13	0.01	15%	9 Feb →