Sharkira69 — CS2 Stats

LT76561198341449036[U:1:381183308]Steam profile ↗✓ No bans

1,424Tracked matches57%Win rate2021Tracked since

CSDB Rating4.1 Developing

Premier CS Rating19,725Purple band · top ~9.6% of ranked players (population est.)

CSDB Leaderboard#13231 of 30747 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning41

Utility25

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLWLWLLWWL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim4.6

Aggression4.0

Utility2.5

Positioning4.1

Opening Duels0.9

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 75% playstyle similarity

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

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 44% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim4.6

Positioning4.1

Utility2.5

Mechanics4.5

Opening Duels1.8

Win Impact7.2

Composite 4.1/10 (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-0.05+0.00

first ⅓ avg -0.05 → last ⅓ avg -0.05

Reaction time584ms−41ms

first ⅓ avg 625ms → last ⅓ avg 584ms

Headshot accuracy14.1%+4.1%

first ⅓ avg 10.1% → last ⅓ avg 14.1%

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

0.04Best rating — ancient 13–9

13–2Biggest win — nuke

5Longest win streak

4–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 90% over 10infernoWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	19	14–5	74%	-0.05
cache	C	16	6–10	38%	-0.04
dust2	C	15	6–9	40%	-0.05
inferno	D	15	3–12	20%	-0.07
nuke	A	11	6–5	55%	-0.03
anubis	S	10	9–1	90%	-0.03
mirage	D	8	2–6	25%	-0.05
train	—	3	0–3	0%	-0.04
office	—	2	0–2	0%	-0.04
vertigo	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno 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.

14.9%Headshot accuracy

31.8%Accuracy (enemy spotted)

36.7%Spray accuracy

70.1%Counter-strafing

12.2°Preaim

579msReaction time

23.2%T opening success

44.3%CT opening success

0.43Enemies flashed / flash

3.2%Flash assists

6.86HE damage / grenade

4.46Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2427° — above the 12° mark we flag
Aim Training →
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 14.8747% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4297 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–6	-0.06	10%	29 Aug →
dust2	7–13	-0.07	7%	29 Aug →
dust2	13–9	-0.10	18%	27 Aug →
cache	10–13	-0.08	2%	27 Aug →
ancient	13–9	0.04	24%	27 Aug →
mirage	0–4	-0.08	20%	26 Aug →
ancient	0–8	-0.13	18%	26 Aug →
cache	13–6	-0.02	15%	25 Aug →
ancient	13–6	-0.06	38%	25 Aug →
inferno	5–13	-0.10	26%	24 Aug →
nuke	13–6	0.02	29%	24 Aug →
anubis	9–3	0.03	28%	24 Aug →
anubis	13–6	0.01	11%	22 Aug →
ancient	13–7	-0.04	15%	22 Aug →
inferno	13–10	-0.09	19%	21 Aug →
cache	0–13	-0.05	0%	17 Aug →
nuke	13–2	-0.01	10%	16 Aug →
inferno	11–13	-0.09	11%	15 Aug →
anubis	13–5	0.01	21%	9 Aug →
ancient	0–3	-0.05	0%	9 Aug →
inferno	3–13	-0.08	11%	8 Aug →
inferno	2–13	-0.06	7%	8 Aug →
cache	13–8	-0.08	5%	8 Aug →
dust2	16–12	-0.03	23%	8 Aug →
mirage	6–13	-0.03	12%	6 Aug →
cache	13–10	-0.07	14%	6 Aug →
cache	7–13	0.01	10%	2 Aug →
inferno	7–13	-0.08	7%	2 Aug →
dust2	13–8	-0.08	5%	2 Aug →
dust2	13–4	-0.04	23%	30 Jul →
nuke	13–9	0.03	8%	30 Jul →
dust2	5–13	-0.04	13%	30 Jul →
ancient	13–9	-0.05	6%	29 Jul →
nuke	4–13	-0.04	5%	29 Jul →
mirage	13–6	-0.01	4%	26 Jul →
anubis	5–0	-0.04	0%	26 Jul →
dust2	6–13	-0.07	7%	26 Jul →
nuke	10–13	-0.03	5%	26 Jul →
inferno	9–13	-0.09	10%	26 Jul →
anubis	13–9	-0.10	9%	25 Jul →
inferno	6–13	-0.05	7%	25 Jul →
ancient	6–13	-0.03	2%	25 Jul →
cache	7–13	-0.07	12%	24 Jul →
anubis	4–13	-0.03	10%	24 Jul →
ancient	13–7	-0.09	8%	24 Jul →
dust2	15–15	-0.02	12%	24 Jul →
inferno	4–13	-0.04	11%	23 Jul →
cache	4–13	-0.08	3%	23 Jul →
ancient	13–9	-0.04	15%	22 Jul →
dust2	13–7	-0.06	19%	21 Jul →
inferno	9–13	-0.07	6%	21 Jul →
cache	13–11	-0.04	18%	21 Jul →
mirage	2–13	-0.13	9%	21 Jul →
inferno	13–7	-0.06	15%	21 Jul →
cache	6–13	-0.04	3%	18 Jul →
anubis	13–11	-0.05	8%	17 Jul →
ancient	15–15	0.01	10%	17 Jul →
nuke	13–11	-0.04	11%	16 Jul →
ancient	13–4	0.03	11%	16 Jul →
dust2	10–13	-0.03	9%	15 Jul →
nuke	13–9	0.03	9%	15 Jul →
ancient	13–10	-0.07	4%	14 Jul →
cache	13–2	0.00	13%	13 Jul →
cache	12–16	-0.04	15%	11 Jul →
mirage	11–13	-0.06	12%	11 Jul →
dust2	9–13	-0.06	9%	8 Jul →
ancient	13–7	-0.07	7%	6 Jul →
mirage	3–13	-0.07	3%	5 Jul →
ancient	13–10	-0.06	10%	4 Jul →
cache	8–13	-0.07	22%	4 Jul →
cache	11–13	0.03	13%	4 Jul →
cache	8–13	-0.02	7%	4 Jul →
dust2	6–13	-0.04	7%	4 Jul →
dust2	13–6	-0.01	10%	28 Jun →
dust2	8–13	-0.06	4%	28 Jun →
ancient	10–13	-0.07	9%	28 Jun →
inferno	13–2	-0.06	11%	20 Jun →
mirage	13–4	0.01	12%	19 Jun →
dust2	8–13	-0.05	9%	19 Jun →
train	12–12	-0.07	9%	19 Jun →
train	5–13	0.00	12%	18 Jun →
train	9–13	-0.06	10%	17 Jun →
nuke	9–13	-0.05	2%	14 Jun →
ancient	13–6	-0.06	11%	14 Jun →
vertigo	13–7	-0.03	9%	5 Jun →
office	8–13	-0.07	7%	30 May →
anubis	13–8	-0.03	7%	30 May →
anubis	13–7	-0.05	15%	30 May →
mirage	11–13	-0.05	21%	24 May →
nuke	13–10	-0.07	7%	24 May →
cache	13–7	-0.00	15%	23 May →
anubis	13–7	-0.03	11%	23 May →
nuke	1–13	-0.11	20%	23 May →
inferno	7–13	-0.07	4%	23 May →
nuke	5–13	-0.01	7%	22 May →
inferno	6–13	-0.09	9%	21 May →
ancient	13–11	-0.06	5%	21 May →
inferno	6–13	-0.12	4%	17 May →
ancient	13–9	-0.04	13%	17 May →
office	10–13	-0.01	15%	17 May →