Shark — CS2 Stats

76561198326239305[U:1:365973577]Steam profile ↗✓ No bans

3,671Tracked matches34%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 10 · 3,843 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning60

Utility70

0–100 skill scores via Leetify.

Recent form

COLD56–41–3Last 10056%Win rateLLLLLLLWWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim8.6

Aggression8.7

Utility7.0

Positioning6.0

Opening Duels4.4

Clutch4.6

Sharp aimerStrong CT-side openerEffective flashes

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 device 94% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 56% on CT to 39% 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

Aim8.6

Positioning6.0

Utility7.0

Mechanics6.8

Opening Duels4.4

Win Impact0.0

Composite 6.6/10 (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 rating0.01−0.06

first ⅓ avg 0.07 → last ⅓ avg 0.01

Reaction time523ms−74ms

first ⅓ avg 597ms → last ⅓ avg 523ms

Headshot accuracy27.8%−1.0%

first ⅓ avg 28.8% → last ⅓ avg 27.8%

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

0.47Best rating — inferno 9–0

13–1Biggest win — dust2

8Longest win streak

L7Current streak

8–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 82% over 11overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	8–13	38%	0.03
ancient	S	21	14–7	67%	0.03
inferno	S	20	13–7	65%	0.09
nuke	S	11	9–2	82%	0.06
mirage	A	10	6–4	60%	0.03
anubis	D	8	2–6	25%	-0.02
overpass	D	5	1–4	20%	-0.01
train	—	2	2–0	100%	0.00
aim_redline_faceit	—	1	1–0	100%	0.08
agency	—	1	0–1	0%	0.13

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,387Matches

55%Win rate

1.27Avg K/D

88.4ADR

54%Headshot %

Clutches & streaks

43%1v1 clutch win

24%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	621	56%	1.28	17.8
Mirage	425	48%	1.15	16.9
Dust2	373	53%	1.25	17.4
Inferno	291	58%	1.32	17.5
Vertigo	204	71%	1.35	18.2
Nuke	181	56%	1.32	17.0
Anubis	99	48%	1.10	17.2
Train	68	49%	1.34	18.8

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.

25.9%Headshot accuracy

34.6%Accuracy (enemy spotted)

37.3%Spray accuracy

80.8%Counter-strafing

9.0°Preaim

500msReaction time

39.5%T opening success

55.6%CT opening success

0.74Enemies flashed / flash

13.1%Flash assists

8.20HE damage / grenade

11.09Flashes / 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 39.4784% — below the 40% mark we flag

Spend your practice time on Overpass

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 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	0.08	28%	26 Aug →
dust2	10–13	-0.03	28%	16 Aug →
inferno	5–13	0.05	28%	13 Aug →
anubis	8–13	-0.03	18%	8 Aug →
dust2	4–13	-0.06	16%	8 Aug →
ancient	3–13	0.01	17%	7 Aug →
inferno	5–13	-0.02	37%	7 Aug →
inferno	16–14	-0.02	21%	6 Aug →
anubis	13–9	0.01	19%	6 Aug →
anubis	4–13	-0.01	16%	5 Aug →
nuke	3–13	-0.01	52%	5 Aug →
ancient	13–6	0.08	24%	5 Aug →
anubis	9–13	-0.02	24%	5 Aug →
ancient	2–13	-0.05	19%	5 Aug →
nuke	13–8	0.08	33%	5 Aug →
ancient	13–9	0.08	26%	5 Aug →
dust2	13–7	0.03	29%	24 Jul →
nuke	3–13	-0.05	28%	3 Jul →
dust2	7–13	0.07	38%	3 Jul →
mirage	13–5	0.05	30%	2 Jul →
inferno	13–6	0.07	48%	2 Jul →
dust2	11–13	-0.01	25%	1 Jul →
anubis	7–13	-0.02	17%	1 Jul →
inferno	13–9	0.01	18%	1 Jul →
dust2	6–13	-0.08	21%	7 Jun →
inferno	7–13	-0.03	14%	7 Jun →
dust2	8–13	0.01	24%	7 Jun →
dust2	13–2	0.07	14%	17 May →
overpass	5–13	-0.04	24%	14 May →
ancient	12–12	-0.04	100%	2 May →
dust2	13–6	0.02	32%	23 Apr →
nuke	13–9	0.08	27%	10 Apr →
nuke	13–4	0.11	20%	10 Apr →
dust2	13–10	0.03	25%	10 Apr →
dust2	10–13	0.09	24%	19 Mar →
inferno	10–13	0.02	39%	17 Mar →
ancient	13–6	0.00	15%	14 Mar →
ancient	13–2	0.10	20%	13 Mar →
mirage	13–11	0.09	32%	13 Mar →
dust2	13–10	0.14	44%	12 Mar →
mirage	13–11	0.02	20%	8 Feb →
dust2	9–13	-0.04	24%	6 Feb →
anubis	11–13	0.02	28%	31 Jan →
mirage	13–6	0.06	29%	31 Jan →
inferno	9–0	0.31	33%	26 Jan →
mirage	17–19	0.04	18%	24 Jan →
mirage	7–13	0.08	27%	24 Jan →
ancient	9–13	-0.02	28%	22 Jan →
nuke	13–8	0.05	23%	22 Jan →
ancient	11–13	-0.01	17%	20 Jan →
anubis	16–13	0.07	23%	20 Jan →
nuke	13–4	0.03	30%	17 Jan →
aim_redline_faceit	13–9	0.08	28%	17 Jan →
mirage	13–10	0.03	24%	15 Jan →
overpass	11–13	0.03	17%	7 Dec →
dust2	10–13	0.06	30%	11 Oct →
overpass	14–16	-0.03	21%	3 Oct →
ancient	9–13	-0.02	29%	29 Sept →
dust2	11–13	-0.05	26%	27 Sept →
ancient	13–6	0.12	29%	10 Sept →
mirage	5–13	-0.06	17%	30 Aug →
dust2	13–9	-0.01	26%	28 Aug →
ancient	13–9	0.02	25%	28 Aug →
dust2	13–1	0.12	47%	29 Jul →
overpass	5–13	-0.01	26%	22 Jul →
overpass	13–9	0.03	30%	20 Jul →
ancient	10–13	-0.01	32%	9 Jul →
train	13–6	-0.05	19%	9 Jul →
ancient	13–5	0.01	33%	8 Jul →
train	13–11	0.05	31%	3 Jul →
inferno	9–3	0.05	30%	16 Jun →
agency	12–12	0.13	32%	16 Jun →
inferno	9–6	-0.03	20%	11 Jun →
ancient	16–14	0.04	25%	11 Jun →
ancient	13–6	0.04	29%	7 Jun →
ancient	13–7	0.01	23%	30 May →
anubis	0–4	-0.20	0%	30 May →
inferno	8–8	0.13	15%	4 May →
nuke	9–2	0.17	26%	4 May →
inferno	9–3	0.15	31%	29 Apr →
mirage	13–10	0.05	21%	29 Apr →
mirage	3–13	-0.06	44%	25 Apr →
ancient	13–6	0.11	35%	25 Apr →
dust2	10–13	-0.01	29%	13 Apr →
inferno	9–7	0.19	42%	13 Apr →
inferno	9–0	0.47	39%	13 Apr →
nuke	13–9	0.06	18%	9 Apr →
ancient	13–7	0.06	22%	9 Apr →
dust2	10–13	0.05	30%	6 Apr →
ancient	13–2	0.08	26%	6 Apr →
inferno	5–9	-0.05	45%	6 Apr →
inferno	7–13	0.04	37%	5 Apr →
nuke	13–11	0.03	33%	5 Apr →
inferno	9–2	0.14	43%	5 Apr →
inferno	9–7	0.10	31%	5 Apr →
dust2	13–9	0.13	30%	3 Apr →
inferno	9–4	0.16	29%	3 Apr →
ancient	13–6	-0.03	25%	26 Mar →
nuke	9–1	0.10	26%	22 Mar →
inferno	13–6	0.10	34%	21 Mar →