sparkah — CS2 Stats

76561198064764726[U:1:104498998]VAC banned

832Tracked matches41%Win rate2020Tracked since

1,192Hours in CS

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating20,621Pink band · top ~7.8% of ranked players (population est.)

CSDB Leaderboard#8208 of 20840 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning59

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLLWLWWLWWW

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

Player DNA

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

Aim6.2

Aggression6.2

Utility4.8

Positioning5.9

Opening Duels1.9

Clutch2.8

Strong CT-side openerLimited 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 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 46% on CT to 29% 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

Aim6.2

Positioning5.9

Utility4.8

Mechanics5.5

Opening Duels2.0

Win Impact2.1

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time496ms−53ms

first ⅓ avg 550ms → last ⅓ avg 496ms

Headshot accuracy14.7%+1.7%

first ⅓ avg 13.0% → last ⅓ avg 14.7%

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

0.14Best rating — ancient 13–7

13–2Biggest win — anubis

8Longest win streak

L2Current streak

9–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	20	7–13	35%	0.01
nuke	S	18	12–6	67%	0.01
dust2	C	17	7–10	41%	-0.01
ancient	B	15	7–8	47%	0.04
anubis	S	11	8–3	73%	0.02
mirage	B	8	4–4	50%	0.01
inferno	D	6	2–4	33%	0.02
overpass	—	3	0–3	0%	-0.02
train	—	1	0–1	0%	0.04
vertigo	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,450Lifetime kills

1.12K/D · Top 50% of Pink band

2,452Matches

47.5%Match win rate · Top 50% of Pink band

35.5%Headshot %

12.3%Shot accuracy

5,913MVPs

1,192Hours (in match)

2,215Bombs planted

670Bombs defused

Most-used weapons

AK-4733,448

M4A4 / M4A1-S10,328

P2000 / USP-S2,887

AWP1,844

Glock-181,599

MP91,293

FAMAS1,218

Desert Eagle1,040

MP7994

MAC-10980

Lifetime map wins

3,616dust2

3,486nuke

3,324inferno

1,024train

445vertigo

168office

70cbble

39assault

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

111Matches

49%Win rate

1.34Avg K/D

87.2ADR

39%Headshot %

Clutches & streaks

34%1v1 clutch win

29%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	23	52%	1.14	16.5
Nuke	20	50%	1.34	18.2
Dust2	14	57%	1.29	17.3
Inferno	11	45%	2.22	15.2
Ancient	9	56%	1.36	20.0
Anubis	5	0%	0.83	13.6
Train	4	75%	1.46	20.5
Overpass	1	0%	1.33	24.0

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.

14.8%Headshot accuracy

32.4%Accuracy (enemy spotted)

33.9%Spray accuracy

74.6%Counter-strafing

10.7°Preaim

491msReaction time

29.5%T opening success

46.0%CT opening success

0.67Enemies flashed / flash

3.7%Flash assists

11.68HE damage / grenade

3.99Flashes / 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 14.8432% — below the 15% 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 3.9924 — 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 29.4835% — below the 40% mark we flag

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.

33% win rate across 6 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
dust2	10–13	-0.02	14%	29 Aug →
anubis	13–16	0.06	16%	28 Aug →
mirage	13–7	0.11	8%	28 Aug →
cache	10–13	-0.02	14%	28 Aug →
nuke	13–5	-0.04	16%	28 Aug →
dust2	13–9	0.07	10%	28 Aug →
anubis	10–13	0.03	10%	28 Aug →
mirage	13–3	-0.02	21%	28 Aug →
cache	13–11	0.11	23%	27 Aug →
anubis	13–11	0.08	17%	27 Aug →
cache	10–13	-0.03	10%	25 Aug →
dust2	2–13	-0.04	14%	25 Aug →
ancient	8–13	-0.00	11%	25 Aug →
dust2	13–6	0.01	25%	24 Aug →
ancient	11–13	0.01	8%	24 Aug →
cache	14–16	0.00	19%	23 Aug →
nuke	10–13	0.01	28%	23 Aug →
ancient	13–7	0.14	13%	23 Aug →
dust2	13–9	-0.09	12%	23 Aug →
nuke	7–13	0.00	13%	23 Aug →
cache	11–13	-0.01	18%	23 Aug →
anubis	13–5	0.05	18%	22 Aug →
ancient	9–13	-0.03	13%	22 Aug →
dust2	11–13	-0.06	14%	22 Aug →
mirage	6–13	0.00	19%	22 Aug →
dust2	7–13	0.06	10%	22 Aug →
cache	9–13	-0.05	8%	22 Aug →
ancient	15–15	0.04	11%	22 Aug →
nuke	13–10	0.08	15%	22 Aug →
anubis	13–8	0.01	17%	22 Aug →
mirage	13–10	0.06	12%	22 Aug →
ancient	6–13	0.07	14%	21 Aug →
cache	5–13	-0.01	11%	21 Aug →
dust2	13–9	0.00	6%	21 Aug →
anubis	16–12	-0.00	18%	21 Aug →
cache	11–13	-0.06	9%	21 Aug →
mirage	9–13	-0.06	16%	21 Aug →
nuke	13–8	0.06	14%	21 Aug →
anubis	13–2	-0.03	17%	21 Aug →
dust2	13–7	0.04	23%	21 Aug →
cache	13–10	-0.03	16%	21 Aug →
anubis	3–13	-0.04	9%	21 Aug →
ancient	13–8	0.01	11%	21 Aug →
dust2	13–7	0.07	14%	21 Aug →
mirage	13–9	0.04	19%	21 Aug →
nuke	13–7	0.06	12%	21 Aug →
mirage	3–13	-0.00	9%	21 Aug →
nuke	8–13	0.01	16%	21 Aug →
nuke	16–14	0.01	13%	20 Aug →
cache	8–13	-0.00	18%	16 Aug →
dust2	9–13	-0.05	9%	16 Aug →
nuke	13–11	-0.04	11%	16 Aug →
cache	7–13	0.02	23%	16 Aug →
cache	9–13	-0.03	11%	16 Aug →
mirage	10–13	-0.06	9%	16 Aug →
ancient	13–11	0.03	12%	15 Aug →
cache	6–13	0.05	21%	15 Aug →
nuke	13–8	0.03	10%	15 Aug →
dust2	13–16	-0.01	19%	15 Aug →
ancient	11–13	0.05	10%	15 Aug →
inferno	6–13	0.05	21%	15 Aug →
cache	13–9	0.08	15%	15 Aug →
ancient	13–5	-0.04	13%	14 Aug →
inferno	3–13	-0.01	12%	9 Aug →
nuke	13–6	0.02	15%	9 Aug →
inferno	7–9	-0.02	28%	9 Aug →
nuke	13–6	0.04	27%	9 Aug →
cache	13–5	0.05	22%	9 Aug →
cache	13–4	0.02	16%	9 Aug →
ancient	13–4	-0.00	15%	9 Aug →
inferno	3–13	0.04	17%	9 Aug →
dust2	6–11	-0.03	9%	26 Jul →
nuke	15–15	0.03	11%	26 Jul →
cache	7–13	-0.06	13%	26 Jul →
cache	8–13	0.09	8%	19 Jul →
anubis	13–4	0.00	10%	19 Jul →
nuke	13–7	-0.02	12%	18 Jul →
anubis	13–10	0.03	16%	18 Jul →
inferno	13–11	-0.00	18%	18 Jul →
cache	13–9	0.00	10%	18 Jul →
nuke	13–10	-0.06	10%	18 Jul →
cache	13–11	0.03	14%	18 Jul →
ancient	13–11	-0.00	12%	18 Jul →
dust2	8–13	0.02	7%	7 Jun →
ancient	8–13	0.05	14%	6 Jun →
dust2	8–13	-0.04	8%	5 Jun →
nuke	9–13	0.03	10%	28 Feb →
nuke	6–13	0.02	10%	21 Feb →
train	8–13	0.04	11%	21 Feb →
overpass	7–13	0.03	5%	13 Feb →
dust2	13–7	0.01	21%	13 Feb →
overpass	9–13	-0.03	19%	13 Feb →
nuke	13–7	-0.00	29%	13 Feb →
ancient	13–8	0.12	18%	12 Feb →
vertigo	8–8	0.08	8%	12 Feb →
inferno	9–7	0.08	15%	12 Feb →
ancient	12–12	0.10	8%	11 Feb →
overpass	13–16	-0.07	9%	24 Jan →
dust2	6–13	-0.03	15%	23 Jan →
anubis	13–10	0.04	9%	23 Jan →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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