Vlokkie — CS2 Stats

76561199084538354[U:1:1124272626]Steam profile ↗

2,071Tracked matches27%Win rate2020Tracked since

3,903Hours in CS17Hrs last 2 wks

CSDB Rating2.8 Learning

Premier CS Rating3,027Grey band · top ~87.2% of ranked players (population est.)

CSDB Leaderboard#11905 of 15419 tracked

Ladder ranks via Leetify

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Performance scores

Aim31

Positioning44

Utility23

0–100 skill scores via Leetify.

Recent form

COLD36–63–1Last 10036%Win rateLLWLLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim3.1

Aggression5.7

Utility2.3

Positioning4.4

Opening Duels1.5

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 73% playstyle similarity

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

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

CT openings. Opening success drops from 45% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 655ms 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

Aim3.1

Positioning4.4

Utility2.3

Mechanics5.2

Opening Duels1.9

Win Impact0.0

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time654ms−98ms

first ⅓ avg 752ms → last ⅓ avg 654ms

Headshot accuracy13.9%+0.8%

first ⅓ avg 13.1% → last ⅓ avg 13.9%

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

0.08Best rating — nuke 13–6

13–0Biggest win — nuke

6Longest win streak

L2Current streak

2–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 50% over 8dust2Weakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	35	13–22	37%	-0.03
nuke	C	19	8–11	42%	-0.02
anubis	C	14	5–9	36%	-0.04
dust2	D	12	4–8	33%	-0.05
ancient	B	8	4–4	50%	-0.02
cache	C	5	2–3	40%	-0.03
mirage	—	3	0–3	0%	-0.05
overpass	—	3	0–3	0%	-0.09
train	—	1	0–1	0%	-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,843Lifetime kills

0.79K/D

5,790Matches

27.6%Match win rate

38.3%Headshot %

18.2%Shot accuracy · Top 10% of tracked players

4,749MVPs

1,819Hours (in match)

1,979Bombs planted

1,025Bombs defused

Most-used weapons

AK-4716,708

M4A4 / M4A1-S11,153

AWP9,771

Desert Eagle4,907

P2000 / USP-S4,451

Galil AR3,811

Glock-183,256

SG 5532,480

FAMAS2,296

P902,084

Lifetime map wins

7,123nuke

6,717dust2

5,222inferno

2,837vertigo

811train

182lake

121safehouse

120office

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

Skill profile

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

13.8%Headshot accuracy

27.4%Accuracy (enemy spotted)

31.8%Spray accuracy

73.6%Counter-strafing

12.1°Preaim

655msReaction time

45.2%T opening success

26.6%CT opening success

0.28Enemies flashed / flash

7.6%Flash assists

11.05HE damage / grenade

0.98Flashes / 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 12.0939° — 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 13.7898% — 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 0.2785 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	-0.04	4%	27 Aug →
anubis	11–13	-0.02	10%	27 Aug →
anubis	13–10	-0.02	15%	25 Aug →
mirage	4–13	-0.05	25%	25 Aug →
nuke	3–13	-0.05	19%	24 Aug →
nuke	7–13	-0.03	8%	24 Aug →
nuke	10–13	-0.09	10%	23 Aug →
ancient	11–13	-0.02	10%	23 Aug →
cache	3–13	-0.03	6%	22 Aug →
nuke	3–13	-0.06	0%	20 Aug →
inferno	6–13	-0.06	7%	19 Aug →
inferno	6–13	-0.10	24%	18 Aug →
inferno	13–9	0.02	9%	18 Aug →
nuke	4–13	-0.03	5%	18 Aug →
inferno	13–11	-0.03	20%	17 Aug →
inferno	10–13	-0.05	15%	14 Aug →
anubis	1–13	-0.06	18%	13 Aug →
inferno	13–4	0.01	29%	13 Aug →
ancient	13–8	0.05	11%	13 Aug →
inferno	10–13	0.04	5%	12 Aug →
cache	13–9	0.03	11%	12 Aug →
dust2	6–13	-0.08	15%	12 Aug →
inferno	11–13	-0.00	12%	11 Aug →
anubis	4–13	-0.07	13%	9 Aug →
inferno	13–5	0.00	17%	9 Aug →
nuke	2–13	-0.09	17%	5 Aug →
dust2	13–7	-0.02	23%	3 Aug →
ancient	9–13	-0.03	30%	3 Aug →
nuke	2–13	-0.02	25%	3 Aug →
mirage	4–13	-0.05	11%	2 Aug →
inferno	7–13	-0.06	9%	2 Aug →
inferno	0–13	-0.10	14%	1 Aug →
inferno	3–13	-0.03	14%	1 Aug →
inferno	13–9	-0.06	0%	31 Jul →
ancient	1–13	-0.09	15%	31 Jul →
inferno	7–13	-0.07	9%	31 Jul →
anubis	13–9	-0.02	2%	30 Jul →
anubis	6–13	-0.10	4%	29 Jul →
dust2	4–13	-0.05	15%	29 Jul →
ancient	4–13	-0.06	18%	28 Jul →
anubis	11–13	-0.04	17%	28 Jul →
nuke	8–13	-0.06	8%	27 Jul →
inferno	13–10	-0.07	11%	27 Jul →
inferno	4–13	0.04	9%	27 Jul →
ancient	13–8	-0.00	7%	26 Jul →
inferno	13–10	0.03	10%	26 Jul →
inferno	6–13	-0.07	15%	26 Jul →
inferno	13–8	0.07	17%	26 Jul →
inferno	12–16	-0.01	19%	25 Jul →
dust2	7–13	-0.08	15%	25 Jul →
anubis	10–13	0.03	9%	25 Jul →
dust2	13–11	-0.01	26%	24 Jul →
dust2	5–13	-0.12	21%	23 Jul →
inferno	6–13	-0.03	15%	23 Jul →
dust2	4–13	0.05	22%	23 Jul →
nuke	13–6	-0.02	11%	23 Jul →
inferno	1–13	-0.12	0%	23 Jul →
nuke	13–4	-0.03	6%	23 Jul →
dust2	13–8	-0.06	13%	22 Jul →
dust2	7–13	-0.10	9%	21 Jul →
inferno	13–7	-0.04	4%	15 Jul →
ancient	13–7	0.01	23%	15 Jul →
ancient	13–7	-0.02	15%	14 Jul →
inferno	4–13	0.03	6%	13 Jul →
cache	13–8	-0.05	5%	13 Jul →
dust2	16–13	0.00	15%	13 Jul →
nuke	9–13	0.02	12%	13 Jul →
dust2	9–13	-0.01	17%	12 Jul →
anubis	13–8	-0.03	14%	12 Jul →
mirage	8–13	-0.06	12%	9 Jul →
anubis	6–13	-0.07	0%	9 Jul →
cache	6–13	-0.09	11%	8 Jul →
train	4–13	-0.14	5%	8 Jul →
inferno	13–3	-0.02	12%	8 Jul →
inferno	15–15	-0.02	11%	5 Jul →
inferno	13–10	-0.04	13%	4 Jul →
nuke	13–0	0.02	15%	4 Jul →
anubis	13–8	-0.01	17%	4 Jul →
nuke	13–6	0.01	21%	3 Jul →
nuke	13–2	0.03	20%	1 Jul →
anubis	13–5	-0.02	17%	1 Jul →
overpass	3–13	-0.08	20%	1 Jul →
nuke	13–6	0.08	14%	29 Jun →
overpass	8–13	-0.09	9%	27 Jun →
overpass	4–13	-0.10	7%	27 Jun →
inferno	5–13	-0.04	11%	26 Jun →
nuke	3–13	-0.10	14%	26 Jun →
nuke	13–10	-0.01	11%	25 Jun →
inferno	14–16	-0.03	20%	25 Jun →
inferno	11–13	-0.06	7%	23 Jun →
anubis	0–13	-0.06	38%	23 Jun →
nuke	13–4	0.01	10%	21 Jun →
nuke	6–13	0.02	12%	21 Jun →
inferno	6–13	0.00	5%	20 Jun →
dust2	7–13	-0.06	7%	20 Jun →
inferno	13–6	0.01	13%	20 Jun →
inferno	7–13	-0.05	4%	20 Jun →
anubis	10–13	-0.04	17%	20 Jun →
inferno	13–3	-0.04	15%	20 Jun →
inferno	4–13	-0.10	17%	19 Jun →