Zkittlez — CS2 Stats

AL76561198108147696[U:1:147881968]Steam profile ↗✓ No bans

4,516Tracked matches43%Win rate2020Tracked since

9,275Hours in CS

CSDB Rating6.9 SolidHybrid Rifler

CSDB Leaderboard#6467 of 8007 tracked

FaceitLevel 10 · 3,514 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

3,514Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 3,514
Next: 4,000 ELO at 4,000 — 486 to go
Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
3,500 ELO first seen 2026-08-28
3,000 ELO first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	54.9%	52.8%
Shot accuracy	11.6%	13.7%
Kill/death ratio	1.05	1.08
Match win rate	53.5%	49.2%

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Performance scores

Aim86

Positioning64

Utility77

0–100 skill scores via Leetify.

Recent form

STEADY41–59Last 10041%Win rateLLLWLWWWLL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim8.6

Aggression5.8

Utility7.7

Positioning6.4

Opening Duels1.7

Clutch3.6

Sharp aimerEffective flashesHigh utility contribution

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 Twistzz 94% playstyle similarity

Most alike: opening-fight frequency, 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.

Utility. Utility score of 77 — grenade impact well above the norm.

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

Positioning6.4

Utility7.7

Mechanics7.1

Opening Duels1.7

Win Impact2.8

Composite 6.9/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time487ms−75ms

first ⅓ avg 563ms → last ⅓ avg 487ms

Headshot accuracy25.8%+0.3%

first ⅓ avg 25.5% → last ⅓ avg 25.8%

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

0.11Best rating — dust2 13–8

13–2Biggest win — dust2

4Longest win streak

L3Current streak

5–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 54% over 24nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	13–16	45%	-0.00
mirage	B	24	13–11	54%	0.00
ancient	D	19	6–13	32%	-0.01
anubis	C	11	4–7	36%	-0.00
nuke	D	7	2–5	29%	-0.01
inferno	D	6	2–4	33%	-0.01
cache	—	3	1–2	33%	0.02
overpass	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

374,478Lifetime kills

1.05K/D

12,880Matches

53.5%Match win rate · Top 25% of Level 10 players

54.9%Headshot % · Top 50% of Level 10 players

11.6%Shot accuracy

45,375MVPs

9,275Hours (in match)

22,529Bombs planted

3,988Bombs defused

Most-used weapons

AK-47145,686

M4A4 / M4A1-S68,783

AWP32,819

P2000 / USP-S25,382

Desert Eagle19,456

Glock-1813,445

Knife10,985

P2507,062

MP96,415

MAC-105,880

Lifetime map wins

29,773dust2

27,580inferno

5,826train

4,864nuke

4,248vertigo

3,793cbble

122italy

122aztec

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

Faceit stats

Combat

9,912Matches

55%Win rate

1.18Avg K/D

89.9ADR

53%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

19Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	917	57%	1.23	18.4
Ancient	738	58%	1.20	17.9
Dust2	484	58%	1.23	17.6
Anubis	475	55%	1.23	17.8
Inferno	209	63%	1.36	18.2
Vertigo	57	56%	1.22	17.5
Overpass	49	53%	1.21	18.3
Nuke	43	40%	1.15	16.9

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.

26.1%Headshot accuracy

33.6%Accuracy (enemy spotted)

37.5%Spray accuracy

82.1%Counter-strafing

9.7°Preaim

486msReaction time

38.2%T opening success

35.7%CT opening success

0.74Enemies flashed / flash

8.2%Flash assists

12.16HE damage / grenade

14.29Flashes / 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 38.2287% — 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.

29% 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
dust2	12–16	-0.05	16%	27 Aug →
ancient	10–13	-0.02	18%	27 Aug →
anubis	10–13	-0.05	23%	19 Aug →
dust2	13–7	-0.04	21%	19 Aug →
mirage	9–13	-0.02	29%	19 Aug →
ancient	13–3	-0.00	18%	18 Aug →
mirage	13–4	0.09	22%	18 Aug →
anubis	13–8	0.05	25%	16 Aug →
inferno	14–16	-0.03	25%	16 Aug →
mirage	5–13	-0.03	22%	16 Aug →
mirage	9–13	0.00	31%	15 Aug →
anubis	13–8	0.02	19%	15 Aug →
ancient	10–13	-0.07	33%	15 Aug →
dust2	13–2	0.08	22%	15 Aug →
mirage	13–3	-0.03	19%	15 Aug →
cache	14–16	-0.00	23%	15 Aug →
mirage	7–13	-0.04	26%	15 Aug →
anubis	11–13	-0.07	28%	15 Aug →
ancient	11–13	-0.02	32%	14 Aug →
inferno	13–4	-0.01	22%	14 Aug →
mirage	13–4	0.10	30%	14 Aug →
inferno	6–13	0.02	26%	14 Aug →
dust2	7–13	-0.01	34%	13 Aug →
mirage	13–6	0.04	48%	13 Aug →
ancient	13–9	0.03	34%	13 Aug →
cache	11–13	0.04	29%	12 Aug →
dust2	13–10	0.03	22%	12 Aug →
mirage	8–13	-0.00	29%	12 Aug →
mirage	7–13	-0.03	25%	4 Aug →
cache	13–9	0.03	30%	4 Aug →
dust2	6–13	-0.02	36%	4 Aug →
dust2	13–10	0.03	21%	4 Aug →
ancient	13–9	-0.01	13%	4 Aug →
mirage	13–10	0.02	29%	3 Aug →
dust2	13–11	-0.00	31%	3 Aug →
nuke	7–13	0.00	36%	3 Aug →
anubis	13–7	-0.00	17%	2 Aug →
dust2	13–10	-0.02	24%	2 Aug →
ancient	13–9	-0.00	11%	2 Aug →
mirage	13–11	-0.01	31%	2 Aug →
anubis	5–13	0.01	31%	2 Aug →
dust2	6–13	0.02	50%	31 Jul →
nuke	11–13	0.03	24%	31 Jul →
mirage	13–16	0.03	23%	29 Jul →
nuke	3–13	-0.08	17%	29 Jul →
nuke	11–13	-0.01	16%	29 Jul →
dust2	4–13	-0.09	26%	29 Jul →
ancient	14–16	0.01	19%	28 Jul →
dust2	7–13	-0.03	20%	28 Jul →
mirage	13–8	-0.06	52%	27 Jul →
ancient	10–13	0.02	24%	27 Jul →
dust2	13–8	-0.00	33%	26 Jul →
ancient	16–14	-0.00	35%	26 Jul →
dust2	10–13	0.05	27%	25 Jul →
inferno	10–13	-0.07	30%	25 Jul →
dust2	12–16	0.01	28%	17 Jul →
anubis	10–13	0.01	31%	17 Jul →
dust2	7–13	-0.01	31%	15 Jul →
ancient	8–13	-0.04	23%	15 Jul →
dust2	6–13	0.00	25%	14 Jul →
ancient	14–16	-0.01	40%	14 Jul →
ancient	13–10	0.02	22%	13 Jul →
dust2	13–7	0.00	19%	13 Jul →
anubis	10–13	0.03	29%	13 Jul →
dust2	6–13	-0.01	18%	4 Jul →
ancient	10–13	0.01	30%	4 Jul →
nuke	13–4	0.09	29%	28 Jun →
dust2	13–6	-0.03	17%	28 Jun →
dust2	13–8	0.05	35%	24 Jun →
mirage	16–13	-0.02	27%	24 Jun →
dust2	6–13	0.01	26%	9 Jun →
ancient	13–16	0.01	34%	9 Jun →
mirage	17–19	0.02	19%	5 Jun →
dust2	13–8	0.11	31%	5 Jun →
anubis	11–13	-0.02	42%	5 Jun →
dust2	5–13	-0.07	21%	31 May →
mirage	13–5	0.03	24%	28 May →
dust2	16–12	0.03	21%	26 May →
ancient	10–13	-0.01	36%	26 May →
mirage	13–6	0.04	13%	25 May →
ancient	7–13	-0.03	28%	23 May →
dust2	7–13	0.01	23%	23 May →
mirage	13–5	0.09	21%	15 May →
mirage	8–13	-0.06	25%	15 May →
dust2	13–4	0.00	28%	15 May →
ancient	4–13	-0.07	27%	15 May →
inferno	13–5	0.03	10%	14 May →
mirage	9–13	0.00	18%	14 May →
dust2	6–13	-0.06	33%	14 May →
inferno	9–13	0.00	23%	2 May →
dust2	2–13	-0.07	25%	2 May →
nuke	13–11	-0.06	34%	2 May →
mirage	7–13	0.01	25%	30 Apr →
ancient	7–13	-0.05	32%	30 Apr →
anubis	16–14	0.00	13%	29 Apr →
mirage	13–5	-0.05	28%	29 Apr →
mirage	13–5	-0.03	26%	26 Apr →
overpass	6–13	-0.09	16%	26 Apr →
anubis	10–13	-0.03	27%	26 Apr →
nuke	7–13	-0.05	33%	24 Apr →